Skip to main content

Main menu

  • Home
  • Content
    • Current
    • Ahead of print
    • Past Issues
    • JNM Supplement
    • SNMMI Annual Meeting Abstracts
    • Continuing Education
    • JNM Podcasts
  • Subscriptions
    • Subscribers
    • Institutional and Non-member
    • Rates
    • Journal Claims
    • Corporate & Special Sales
  • Authors
    • Submit to JNM
    • Information for Authors
    • Assignment of Copyright
    • AQARA requirements
  • Info
    • Reviewers
    • Permissions
    • Advertisers
  • About
    • About Us
    • Editorial Board
    • Contact Information
  • More
    • Alerts
    • Feedback
    • Help
    • SNMMI Journals
  • SNMMI
    • JNM
    • JNMT
    • SNMMI Journals
    • SNMMI

User menu

  • Subscribe
  • My alerts
  • Log in
  • My Cart

Search

  • Advanced search
Journal of Nuclear Medicine
  • SNMMI
    • JNM
    • JNMT
    • SNMMI Journals
    • SNMMI
  • Subscribe
  • My alerts
  • Log in
  • My Cart
Journal of Nuclear Medicine

Advanced Search

  • Home
  • Content
    • Current
    • Ahead of print
    • Past Issues
    • JNM Supplement
    • SNMMI Annual Meeting Abstracts
    • Continuing Education
    • JNM Podcasts
  • Subscriptions
    • Subscribers
    • Institutional and Non-member
    • Rates
    • Journal Claims
    • Corporate & Special Sales
  • Authors
    • Submit to JNM
    • Information for Authors
    • Assignment of Copyright
    • AQARA requirements
  • Info
    • Reviewers
    • Permissions
    • Advertisers
  • About
    • About Us
    • Editorial Board
    • Contact Information
  • More
    • Alerts
    • Feedback
    • Help
    • SNMMI Journals
  • View or Listen to JNM Podcast
  • Visit JNM on Facebook
  • Join JNM on LinkedIn
  • Follow JNM on Twitter
  • Subscribe to our RSS feeds
Research ArticleClinical Investigation
Open Access

Superior Tumor Detection for 68Ga-FAPI-46 Versus 18F-FDG PET/CT and Conventional CT in Patients with Cholangiocarcinoma

Kim M. Pabst, Marija Trajkovic-Arsic, Phyllis F.Y. Cheung, Simone Ballke, Katja Steiger, Timo Bartel, Benedikt M. Schaarschmidt, Aleksandar Milosevic, Robert Seifert, Michael Nader, Lukas Kessler, Jens T. Siveke, Katharina Lueckerath, Stefan Kasper, Ken Herrmann, Nader Hirmas, Hartmut H. Schmidt, Rainer Hamacher and Wolfgang P. Fendler
Journal of Nuclear Medicine July 2023, 64 (7) 1049-1055; DOI: https://doi.org/10.2967/jnumed.122.265215
Kim M. Pabst
1Department of Nuclear Medicine, West German Cancer Center, University Hospital Essen, Essen, Germany;
2German Cancer Consortium, partner site University Hospital Essen, Essen, Germany;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Marija Trajkovic-Arsic
2German Cancer Consortium, partner site University Hospital Essen, Essen, Germany;
3Division of Solid Tumor Translational Oncology, German Cancer Research Center, Heidelberg, Germany;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Phyllis F.Y. Cheung
2German Cancer Consortium, partner site University Hospital Essen, Essen, Germany;
3Division of Solid Tumor Translational Oncology, German Cancer Research Center, Heidelberg, Germany;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Simone Ballke
4Institute of Pathology, School of Medicine, Technical University of Munich, Munich, Germany;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Katja Steiger
4Institute of Pathology, School of Medicine, Technical University of Munich, Munich, Germany;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Timo Bartel
1Department of Nuclear Medicine, West German Cancer Center, University Hospital Essen, Essen, Germany;
2German Cancer Consortium, partner site University Hospital Essen, Essen, Germany;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Benedikt M. Schaarschmidt
5Department of Diagnostic and Interventional Radiology, University Hospital Essen, University of Duisburg–Essen, Essen Germany;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Aleksandar Milosevic
5Department of Diagnostic and Interventional Radiology, University Hospital Essen, University of Duisburg–Essen, Essen Germany;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Robert Seifert
1Department of Nuclear Medicine, West German Cancer Center, University Hospital Essen, Essen, Germany;
2German Cancer Consortium, partner site University Hospital Essen, Essen, Germany;
6Department of Nuclear Medicine, University Hospital Münster, Münster, Germany;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Michael Nader
1Department of Nuclear Medicine, West German Cancer Center, University Hospital Essen, Essen, Germany;
2German Cancer Consortium, partner site University Hospital Essen, Essen, Germany;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Lukas Kessler
1Department of Nuclear Medicine, West German Cancer Center, University Hospital Essen, Essen, Germany;
2German Cancer Consortium, partner site University Hospital Essen, Essen, Germany;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jens T. Siveke
2German Cancer Consortium, partner site University Hospital Essen, Essen, Germany;
3Division of Solid Tumor Translational Oncology, German Cancer Research Center, Heidelberg, Germany;
7Department of Medical Oncology, West German Cancer Center, University Hospital Essen, Essen, Germany;
8Bridge Institute of Experimental Tumor Therapy, West German Cancer Center, University Hospital Essen, Essen, Germany;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Katharina Lueckerath
1Department of Nuclear Medicine, West German Cancer Center, University Hospital Essen, Essen, Germany;
2German Cancer Consortium, partner site University Hospital Essen, Essen, Germany;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Stefan Kasper
2German Cancer Consortium, partner site University Hospital Essen, Essen, Germany;
7Department of Medical Oncology, West German Cancer Center, University Hospital Essen, Essen, Germany;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ken Herrmann
1Department of Nuclear Medicine, West German Cancer Center, University Hospital Essen, Essen, Germany;
2German Cancer Consortium, partner site University Hospital Essen, Essen, Germany;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Nader Hirmas
1Department of Nuclear Medicine, West German Cancer Center, University Hospital Essen, Essen, Germany;
2German Cancer Consortium, partner site University Hospital Essen, Essen, Germany;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Hartmut H. Schmidt
9Medical Clinic B, Department of Gastroenterology, Hepatology, Endocrinology, and Infectiology, University Hospital Münster, Münster, Germany; and
10Department of Gastroenterology and Hepatology, University Hospital Duisburg–Essen, Essen, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Rainer Hamacher
2German Cancer Consortium, partner site University Hospital Essen, Essen, Germany;
7Department of Medical Oncology, West German Cancer Center, University Hospital Essen, Essen, Germany;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Wolfgang P. Fendler
1Department of Nuclear Medicine, West German Cancer Center, University Hospital Essen, Essen, Germany;
2German Cancer Consortium, partner site University Hospital Essen, Essen, Germany;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Supplemental
  • Info & Metrics
  • PDF
Loading

Visual Abstract

Figure
  • Download figure
  • Open in new tab
  • Download powerpoint

Abstract

Management of cholangiocarcinoma is among other factors critically determined by accurate staging. Here, we aimed to assess the accuracy of PET/CT with the novel cancer fibroblast–directed 68Ga-fibroblast activation protein (FAP) inhibitor (FAPI)-46 tracer for cholangiocarcinoma staging and management guidance. Methods: Patients with cholangiocarcinoma from a prospective observational trial were analyzed. 68Ga-FAPI-46 PET/CT detection efficacy was compared with 18F-FDG PET/CT and conventional CT. SUVmax/tumor-to-background ratio (Wilcoxon test) and separately uptake for tumor grade and location (Mann–Whitney U test) were compared. Immunohistochemical FAP and glucose transporter 1 (GLUT1) expression of stromal and cancer cells was analyzed. The impact on therapy management was investigated by pre- and post-PET/CT questionnaires sent to the treating physicians. Results: In total, 10 patients (6 with intrahepatic cholangiocarcinoma and 4 with extrahepatic cholangiocarcinoma; 6 with grade 2 tumor and 4 with grade 3 tumor) underwent 68Ga-FAPI-46 PET/CT and conventional CT; 9 patients underwent additional 18F-FDG PET/CT. Immunohistochemical analysis was performed on the entire central tumor plain in 6 patients. Completed questionnaires were returned in 8 cases. Detection rates for 68Ga-FAPI-46 PET/CT, 18F-FDG PET/CT, and CT were 5, 5, and 5, respectively, for primary tumor; 11, 10, and 3, respectively, for lymph nodes; and 6, 4, and 2, respectively, for distant metastases. 68Ga-FAPI-46 versus 18F-FDG PET/CT SUVmax for primary tumor, lymph nodes, and distant metastases was 14.5 versus 5.2 (P = 0.043), 4.7 versus 6.7 (P = 0.05), and 9.5 versus 5.3 (P = 0.046), respectively, and tumor-to-background ratio (liver) was 12.1 versus 1.9 (P = 0.043) for primary tumor. Grade 3 tumors demonstrated a significantly higher 68Ga-FAPI-46 uptake than grade 2 tumors (SUVmax, 12.6 vs. 6.4; P = 0.009). Immunohistochemical FAP expression was high on tumor stroma (∼90% of cells positive), whereas GLUT1 expression was high on tumor cells (∼80% of cells positive). Overall, average expression intensity was estimated as grade 3 for FAP and grade 2 for GLUT1. Positive 68Ga-FAPI-46 PET findings led to a consequent biopsy workup and diagnosis of cholangiocarcinoma in 1 patient. However, patient treatment was not adjusted on the basis of 68Ga-FAPI-46 PET. Conclusion: 68Ga-FAPI-46 demonstrated superior radiotracer uptake, especially in grade 3 tumors, and lesion detection in patients with cholangiocarcinoma. In line with this result, immunohistochemistry demonstrated high FAP expression on tumor stroma. Accuracy is under investigation in an ongoing investigator-initiated trial.

  • 68Ga-FAPI-46 PET/CT
  • 18F-FDG PET/CT
  • conventional CT
  • cholangiocarcinoma
  • immunohistochemistry

Cholangiocarcinomas originate from intra- and extrahepatic locations of the biliary tract (1). They are the second most common liver malignancy (2), are rising in incidence (3) and are often diagnosed late, frequently leading to a fatal outcome (4). Primary tumors are typically diagnosed by contrast-enhanced and diffusion-weighted MRI with MR cholangiopancreatography (5). Additional imaging by whole-body CT is offered for the detection of distant metastases and vascular involvement (6).

Current guidelines do not routinely recommend PET/CT for the diagnosis and staging of biliary tract malignancies. These recommendations refer to imaging using the radioactive tracer 18F-FDG (6). The accuracy of 18F-FDG is limited by intertumoral heterogeneous uptake, that is, a high glycolytic rate for high-grade cholangiocarcinoma and a low glycolytic rate for low-grade cholangiocarcinoma (7,8).

In recent years, quinoline-based fibroblast activation protein (FAP)–specific inhibitors (9) coupled to 68Ga have been developed for PET imaging. FAP is expressed by predominantly cancer-associated fibroblasts in the stroma of various tumor entities, leading to highly tumor-specific expression (10).

Because of an abundant tumor stroma whose main cellular components are cancer-associated fibroblasts, cholangiocarcinoma is a promising tumor entity for 68Ga-FAP inhibitor (FAPI)-46 PET imaging (11).

Previous publications without a systematic histopathologic workup indicated FAP-directed PET to be highly accurate for the imaging of cholangiocarcinoma (12,13). Here, we performed a head-to-head comparison of 68Ga-FAPI-46 PET, 18F-FDG PET, and contrast-enhanced CT and compared the efficacy of these 3 modalities for cholangiocarcinoma detection. Furthermore, we investigated immunohistochemical FAP and glucose transporter 1 (GLUT1) expression from tumor samples of our patient cohort and assessed the impact of 68Ga-FAPI-46 PET/CT on cholangiocarcinoma management.

MATERIALS AND METHODS

Patient Population

The patient flowchart is shown in Figure 1. This is a subgroup analysis of the ongoing observational trial (NCT04571086) at the University Hospital Essen. Until August 2021, 10 patients with cholangiocarcinoma were included (1.8% of the entire trial). Before enrollment, patients gave written informed consent to undergo 68Ga-FAPI-46 PET for a clinical indication. Inclusion criteria were scheduling a 68Ga-FAPI PET examination for staging or restaging of cholangiocarcinoma in routine clinical practice and being at least 18 y old. Pregnant, lactating, or breastfeeding women, as well as patients unable to tolerate PET scanning, were excluded. This study was approved by the local Ethics Committee (permits 19-8991-BO and 20-9485-BO).

FIGURE 1.
  • Download figure
  • Open in new tab
  • Download powerpoint
FIGURE 1.

Enrollment flowchart. PDAC = pancreatic ductal adenocarcinoma; Q = questionnaire.

Image Acquisition

68Ga-FAPI-46 Synthesis and Administration

Radiosynthesis of 68Ga-FAPI-46 was described previously (14). Briefly, a pharmaceutical-grade 68Ge/68Ga generator was applied for the labeling of FAPI-46 using the cassette-based synthesis module Trasis EasyOne.

Patients were not required to be fasting at the time of application and did not require specific preparation. The median intravenously administered activity was 89 MBq (interquartile range [IQR], 79–128 MBq). The median uptake time was 15 min after injection (IQR, 10–38 min). Low-dose CT was performed without application of intravenous contrast medium. Clinical PET/CT scans were obtained in the craniocaudal direction on a Biograph mCT Vision scanner (Siemens Healthineers) (15).

18F-FDG PET/CT

18F-FDG PET/CT was performed in 8 of 10 (80%) patients and 18F-FDG PET/MRI in 1 of 10 (10%). One patient did not undergo additional 18F-FDG PET/CT. The median injected activity was 317 MBq (IQR, 266–344 MBq). The median uptake time was 63 min after injection (IQR, 54–80 min after injection). Diagnostic CT was performed, and intravenous contrast medium was given to 6 of 9 (66.7%) patients. The PET protocol was in accordance with the European Association of Nuclear Medicine procedure guidelines for tumor imaging, version 2.0 (16).

Conventional CT

Conventional CT was performed on all patients either as part of 18F-FDG PET/CT (n = 5) or as a stand-alone examination before PET/CT (n = 5); the median interval between 68Ga-FAPI-46 PET/CT and CT was 17 d (range, 0–36 d). In all patients, diagnostic CT was acquired after application of intravenous contrast medium in the arterial and portal venous phases.

Image Evaluation

For comparison of 68Ga-FAPI-46 and 18F-FDG PET/CT, a lesion-based analysis of SUVmax, SUVmean, SUVpeak, and metabolic tumor volume was performed in consensus by 2 independent, masked readers. For calculation of SUVmean and metabolic tumor volume, volumes of interest were determined by an isocontour threshold of 41% of SUVmax. Syngo.via software (Siemens Healthineers) was used for measurements of SUV and metabolic tumor volume (16). Lesions visible on only one PET modality were compared with the background of the other PET modality in the same region for statistical reasons. Three regions were selected for evaluation of tumor-to-background ratios (TBRs) using a spheric region of interest: mediastinal blood pool (center of the aortic arch), liver (noninvolved area of the right lobe), and left gluteal muscle (center of the left gluteus). Diagnostic CT was analyzed in consensus by 2 independent, masked radiologists.

Detection Efficacy

Detection efficacy was assessed through lesion-based evaluation of 68Ga-FAPI-46 PET/CT, 18F-FDG PET/CT, and conventional CT in 9 of 10 patients. Each detected lesion was considered positive, regardless of the imaging modality. On PET, areas with focal uptake above the background level, not attributable to physiologic findings, were rated positive. On CT, lymph nodes larger than 1 cm in short diameter with suggestive features (contrast enhancement and a round shape, among others) were considered positive. Furthermore, on CT, morphologically delineated or hyperarterialized organ lesions were considered suggestive of malignancy. Follow-up imaging (CT or PET/CT), clinical data, or histologic confirmation were used as the standard of truth.

Management Questionnaires

To assess changes in intended management after 68Ga-FAPI-46 PET/CT, referring physicians completed one questionnaire (questionnaire 1, Supplemental Fig. 1; supplemental materials are available at http://jnm.snmjournals.org) before PET and another questionnaire (questionnaire 2, Supplemental Fig. 2) after reviewing the written 68Ga-FAPI-46 PET/CT report.

Immunohistochemical Analysis of FAP and GLUT1 Expression

Immunohistochemistry was performed on formalin-fixed paraffin-embedded human tissue samples according to the standard laboratory procedures (17). The following antibodies were used: anti-GLUT1 Abcam ab652 (RRID:AB 305540), diluted 1:5,000; anti-FAP α-antibody (SP325); and Abcam ab227703, diluted 1:100. Immunohistochemical expression was evaluated on tumor cells and tumor stroma, and the percentage of intratumoral necrosis related to the tumor areas was also assessed. A simplified visual FAP/GLUT1 grading was applied for stromal and tumor cells, as well as for necrosis. A FAP/GLUT1 grading legend is shown in Table 1. For larger neoplasms, a central slice of the tumor was stained completely. Immunohistochemical analyses were performed on a resection of bioptic samples of the primary or local-recurrence tumors before 68Ga-FAPI-46 or 18F-FDG PET/CT and consequently do not correspond to visible PET lesions. Two pathologists and 2 biologists performed masked immunohistochemical analysis in consensus.

View this table:
  • View inline
  • View popup
TABLE 1.

Visual FAP/GLUT1 Grading

Statistical Analysis

Descriptive statistics and individual patient data are reported. For continuous data, the median, IQR, and range were used. SUVmax, SUVmean, and TBR were compared using the Wilcoxon test. The Mann–Whitney U test was performed to compare subgroups for tumor grade and location. To demonstrate the results, visualization with scatterplots was used, with a P value of less than 0.05 being considered statistically significant. All analyses were performed using SPSS Statistics (version 27.0; IBM).

RESULTS

Patient Characteristics

Overall, 10 patients (6 men and 4 women) were reviewed. The median age was 55.5 y (range, 40–79 y). Included were 6 patients with intrahepatic cholangiocarcinoma and 4 patients with extrahepatic cholangiocarcinoma.

We performed initial staging in 2 patients and restaging in 8. The median interval between diagnosis and initial staging or restaging was 1 mo or 22 mo (range, 5–56 mo), respectively, whereas the median interval was 17 d (range, 0–36 d) between 68Ga-FAPI-46 PET/CT and conventional CT and 0 d (range, 0–35 d) between 68Ga-FAPI-46 PET/CT and 18F-FDG PET/CT. Further clinical information can be found in Table 2.

View this table:
  • View inline
  • View popup
TABLE 2.

Patient Characteristics

Detection Efficacy

Detection efficacy is summarized in Table 3. Figure 2 shows maximum-intensity projections of all 10 patients. Overall, 22 lesions were detected across all modalities, including primary tumors (n =5), lymph node metastases (n = 11), and distant metastases (n = 6). All primary tumors were detected by all 3 imaging modalities. 68Ga-FAPI-46 PET/CT demonstrated the highest detection efficacy for lymph nodes and distant metastases when compared with 18F-FDG PET/CT and conventional CT (lymph node metastases: 11 on 68Ga-FAPI-46 PET/CT, 10 on 18F-FDG PET/CT, and 3 on CT; distant metastases: 6 on 68Ga-FAPI-46 PET/CT, 4 on 18F-FDG PET/CT, and 2 on CT).

View this table:
  • View inline
  • View popup
TABLE 3.

Lesion-Based Detection Efficacy

FIGURE 2.
  • Download figure
  • Open in new tab
  • Download powerpoint
FIGURE 2.

Maximum-intensity projections of 68Ga-FAPI-46 and 18F-FDG PET for all patients. Tumor lesions that could not be detected by 18F-FDG PET are marked with arrows. Tumor sites are listed in Table 2. N.A. = not applicable.

Tumor Uptake

Figure 3 summarizes tumor SUVmax for 68Ga-FAPI-46 versus 18F-FDG PET/CT. In total, 22 lesions (6 primary tumors, 11 lymph node metastases, and 6 distant metastases) were assessed. SUVmax was significantly higher for 68Ga-FAPI-46 PET/CT than for 18F-FDG PET/CT for primary lesions (median, 14.5 [IQR, 6.1] vs. 5.2 [IQR, 2.9]; P = 0.043) and distant metastases (median, 9.5 [IQR, 2.4] vs. 5.3 [IQR, 2.7]; P = 0.046). No significant difference was noted for lymph node metastases (median, 4.7 [IQR, 2.8] vs. 6.7 [IQR, 5.0]; P = 0.05). Details are shown in Figure 3A.

FIGURE 3.
  • Download figure
  • Open in new tab
  • Download powerpoint
FIGURE 3.

Lesion-based comparison of SUVmax between 68Ga-FAPI-46 and 18F-FDG PET/CT for lesion location (primary tumor, lymph node, distant metastases) (A), tumor grade (B), and location of primary tumor (C). *Statistically significant (P < 0.05). eCC = extrahepatic cholangiocarcinoma; G2 = grade 2; G3 = grade 3; iCC = intrahepatic cholangiocarcinoma; M = distant metastases; N = lymph nodes; ns = not statistically significant; T = primary tumor.

Furthermore, tumor uptake for both tracers was investigated with respect to tumor grade (grade 2, n = 4; grade 3, n = 4) and tumor location (intrahepatic, n = 5; extrahepatic, n = 3) (Fig. 3B). Two patients were excluded from evaluation because of a missing 18F-FDG PET/CT scan or the absence of tumor lesions. 68Ga-FAPI-46 SUVmax (median, 10.9 [IQR, 5.2] vs. 5.2 [IQR, 4.5]) was significantly higher in patients with grade 3 than grade 2 tumors (Mann–Whitney U test, P = 0.009). For 18F-FDG PET, no significant difference was observed (median, 5.2 [IQR, 3.3] vs. 6.7 [IQR, 4.6]; P = 0.33).

SUVmax was not significantly different between intra- and extrahepatic cholangiocarcinoma for either 68Ga-FAPI-46 (median, 6.1 [IQR, 6.2] vs. 9.2 [IQR, 2.7]; P = 0.23) or 18F-FDG (median, 5.3 [IQR, 3.6] vs. 6.6 [IQR, 4.8]; P = 0.64) (Fig. 3C).

Figure 4 demonstrates a patient example of primary tumor uptake for 68Ga-FAPI-46 versus 18F-FDG PET/CT, and Supplemental Table 1 shows patient-based, detailed tumor uptake data.

FIGURE 4.
  • Download figure
  • Open in new tab
  • Download powerpoint
FIGURE 4.

Intrahepatic primary tumor of patient 4, demonstrating 18.7-fold higher tumor-to-background uptake ratio in 68Ga-FAPI-46 PET (31.8) than in 18F-FDG PET (1.7).

TBR

TBR for mediastinal blood pool, liver, and left gluteal muscle was assessed for both tracers (Fig. 5). For primary tumor, TBRblood (median, 9.7 [IQR, 1.8] for 68Ga-FAPI-46 vs. 2.4 [IQR, 2.4] for 18F-FDG; P = 0.043) and TBRliver (median, 12.1 [IQR, 18.8] vs. 1.9 [IQR, 1.1]; P = 0.043) were significantly higher for 68Ga-FAPI-46 than for 18F-FDG PET, whereas TBRmuscle was not significantly different (median, 8.8 [IQR, 2.1] vs. 7.4 [IQR, 4.3]; P = 0.69).

FIGURE 5.
  • Download figure
  • Open in new tab
  • Download powerpoint
FIGURE 5.

Lesion-based comparison of TBR (blood pool, liver pool, left gluteal muscle; mean ± SD) between 68Ga-FAPI-46 and 18F-FDG PET for primary tumor (A), lymph node metastases (B), and distant metastases (C). Statistical significance is marked in black for 68Ga-FAPI-46 and in gray for 18F-FDG. *Statistically significant (P < 0.05). ns = not statistically significant.

Lymph node metastases showed a significantly higher TBRliver (median, 13.7 [IQR, 5.8] vs. 2.3 [IQR, 1.5]; P = 0.003) and TBRblood (median, 5.9 [IQR, 2.8] vs. 2.7 [IQR, 1.7]; P = 0.004) for 68Ga-FAPI-46 PET. In contrast, TBRmuscle was significantly higher for 18F-FDG PET/CT (median, 5.9 [IQR, 4.0] vs. 9.6 [IQR, 7.1]; P = 0.01).

TBRblood (median, 8.2 [IQR, 2.4] vs. 3.7 [IQR, 3.0]; P = 0.028) and TBRliver (median, 12.3 [IQR, 10.7] vs. 2.4 [IQR, 2.0]; P = 0.028) were significantly higher in 68Ga-FAPI-46 PET than 18F-FDG PET for distant metastases but not for TBRmuscle (median, 6.8 [IQR, 1.3] vs. 7.9 [IQR, 3.5]; P = 0.25).

Change in Management

Eight of 10 questionnaire pairs were completed by the referring physicians. According to the survey, diagnostic tests were not avoided or triggered, and intended therapy did not change in any patient. In 1 patient with an unknown primary, 68Ga-FAPI-46 PET/CT localized the tumor. Subsequent biopsy with immunohistochemical analysis led to a cholangiocarcinoma diagnosis.

FAP and GLUT1 Immunohistochemistry

FAP and GLUT1 immunohistochemistry findings are shown in Figures 6A–6C. Surgical samples of primary tumors (n = 5) or local recurrences (n = 1) from 6 of 10 patients were examined. Figure 6D demonstrates FAP and GLUT1 expression within a tumor sample. According to visual assessment (Table 1), there was a pronounced FAP expression intensity in the tumor stroma (median intensity grade, 3 [range, 2–3]; mean expression of stromal cells, 90% [range, 50%–95%]), whereas there was largely no FAP expression on the tumor cells themselves (median intensity grade, 0 [range, 0–1]; mean tumoral expression, <1% [range, <1%–5%]).

FIGURE 6.
  • Download figure
  • Open in new tab
  • Download powerpoint
FIGURE 6.

Immunohistochemical FAP/GLUT1 expression graded in accordance with Table 1. (A). Histologic evaluation of tumor cell and stromal content in analyzed samples (2–5 samples per patient, 1 dot presents 1 patient, line presents mean value); tumor cell and stromal content were mostly comparable (∼50%). (B) On average, 90% of stromal cells are positive for FAP whereas 80% of cancer cells are positive for GLUT1. Line presents mean value. (C) Violin plots showing median intensity of 3 for FAP staining on stromal cells but 2 for GLUT1 staining on cancer cells. Line presents mean value. (D) Representative images of immunohistochemistry for FAP and GLUT1 on consecutive sections of 1 patient sample. FAP was strongly expressed in stroma, whereas GLUT1 was detected on tumor cells.

GLUT1 expression was seen predominantly on tumor cells (median intensity grade, 2 [range, 1–3]; mean tumoral expression, 80% [range, 70%–100%]) and only slightly in the tumor stroma (median intensity grade, 0 [range, 0–2]; mean expression of stromal cells, <1% [range, <1%–10%]). Immunohistochemical staining of central tumor slices is shown in Supplemental Figure 3.

DISCUSSION

Here, we report superior detection efficacy and tumor-to-background uptake for 68Ga-FAPI-46 PET/CT versus 18F-FDG PET/CT or conventional CT in patients with cholangiocarcinoma. We further demonstrate the impact of 68Ga-FAPI-46 PET/CT on diagnostic workup of cholangiocarcinoma in 1 patient.

Currently, the only curative treatment for cholangiocarcinoma is radical surgery of the primary tumor, including lymphadenectomy (6). Patients with unresectable intrahepatic cholangiocarcinoma may benefit from local ablative interventions, such as radioembolization with 90Y-microspheres or transarterial chemoembolization (18). In the presence of distant metastases, systemic chemotherapy is the therapy of choice (6). Accurate staging is therefore crucial for management of cholangiocarcinoma.

MRI in combination with MR cholangiopancreatography is the clinical standard for local detection of cholangiocarcinoma (6). According to the guidelines of the European Society for Medical Oncology, additional contrast-enhanced CT determines the relationship between tumor and vasculature (6). Contrast-enhanced CT is currently the imaging modality of choice for staging lymph nodes and distant metastases, although sensitivity and specificity vary significantly across studies (lymph node metastases: sensitivity, 67% [95% CI, 28%–86%]; specificity, 88% [95% CI, 74%–95%]) (19). 18F-FDG PET/CT shows advantages in detecting small cholangiocarcinomas as well as lymph node and distant metastases (20–22). However, extrahepatic cholangiocarcinomas and low-grade tumors are difficult to detect because of reduced 18F-FDG or a high background signal (8). Here, we show the lowest detection rates for contrast-enhanced CT: we attribute this in particular to the size, exemplified by lymph node metastases, which partly presented at 10 mm or smaller in the investigated cohort.

68Ga-FAPI-46 is a novel radioligand that binds to FAP in the tumor stroma and has shown high detection rates for stroma-rich tumors (23). FAP is selectively expressed at high levels by cancer-associated fibroblasts (24,25) in more than 90% of human epithelial cancers (26).

Recently, Kratochwil et al. reported a high 68Ga-FAPI PET SUVmax for cholangiocarcinoma (12). In addition, Lan et al. compared detection efficacy for biliary tract cancer of primary tumors, lymph nodes, and distant metastases between 68Ga-FAPI and 18F-FDG PET/CT and showed 68Ga-FAPI to be superior in all 3 subgroups (13). Here, we confirm that 68Ga-FAPI-46 PET/CT is superior to 18F-FDG PET/CT, and also to conventional CT, for detection of primary tumor but especially for detection efficacy for lymph node and distant metastases.

In addition, 68Ga-FAPI-46 PET/CT demonstrates a higher TBR than does 18F-FDG PET/CT, which leads to improved delineation, especially of intrahepatic lesions. Notably, 68Ga-FAPI-46 PET uptake was highest in grade 3 cholangiocarcinomas, similar to previous findings for 18F-FDG PET/CT (8).

Here we, for the first time to our knowledge, present a systematic immunohistochemistry assessment of the imaging cohort. Immunohistochemistry showed high and very specific FAP expression in tumor stroma whereas GLUT1 was expressed mainly on cholangiocarcinoma tumor cells. A high expression level of FAP in tumor stroma was reported previously (23,27). Cholangiocarcinoma typically presents with a pronounced stromal compartment, which consists mainly of cancer-associated fibroblasts (28,29). The tumor-specific FAP expression, high stromal content in cholangiocarcinoma and good specificity and retention properties of 68Ga-FAPI-46 radioligand probably led to the observed superior TBR and detection rate. In contrast, GLUT1 is a universal glucose transporter that is expressed in many healthy cells in the body, contributing to a higher background level in liver and blood pool that leads to lower TBR ratios and a lower detection specificity for 18F-FDG PET.

We could not detect major changes in tumor treatment, mainly because most patients presented for restaging and metastatic stage was already known. With limited therapeutic options for cholangiocarcinoma, the treatment of choice was mostly already performed or planned.

Efficacious treatment options for cholangiocarcinoma are limited (6). In the past decade, target-directed radioligand therapy (RLT) combined with PET, so-called radiotheranostics, has seen unprecedented expansion (30). Theranostic ligands are carrier-bound small molecules that provide diagnostic imaging or therapy depending on the type of radiolabel. Novel RLT has led to prolonged survival in patients with metastatic neuroendocrine tumors (177Lu-DOTATOC) (31) and prostate cancer (177Lu-PSMA) (32). RLT is characterized by favorable safety and improvement of health-related quality of life (33).

FAP-directed 90Y-FAPI and 177Lu-FAPI RLT has been reported previously in several tumor entities (e.g., sarcoma, pancreatic adenocarcinoma, and breast cancer) (34–37). 90Y-FAPI-46 RLT led to tumor control and was tolerated well in patients with sarcoma or other tumor entities (34,35). High 68Ga-FAPI-46 uptake and strong immunohistochemical FAP expression support the future evaluation of FAP RLT in patients with advanced cholangiocarcinoma.

Our study comes with limitations. 18F-FDG PET was mostly combined with contrast-enhanced CT, whereas 68Ga-FAPI-46 PET/CT was performed as low-dose CT without a contrast agent. This may affect attenuation correction and SUV quantification. However, Schoen et al. (38) did not find a significant difference with respect to the SUVmax of the liver or muscle, for PET/CT with or without contrast enhancement. Other limitations are a small number of patients and the retrospective design. An ongoing prospective interventional investigator-initiated trial (NCT 05160051) aims to assess diagnostic accuracy and target expression in a larger cohort of patients.

CONCLUSION

In patients with cholangiocarcinoma, 68Ga-FAPI-46 demonstrates superior radiotracer uptake, especially in grade 3 tumors, and improved lesion detection when compared with 18F-FDG PET/CT. In line with this finding, immunohistochemistry demonstrates high FAP expression in the stroma of cholangiocarcinoma. Superior tumor detection by 68Ga-FAPI-46 PET led to tumor diagnosis in 1 patient. FAP targeting may become a valuable option for imaging and potentially RLT of cholangiocarcinoma.

DISCLOSURE

Kim Pabst has received a Junior Clinician Scientist Stipend from the University Medicine Essen Clinician Scientist Academy (UMEA) sponsored by the faculty of medicine and Deutsche Forschungsgemeinschaft (DFG), travel fees from IPSEN, and research funding from Bayer. Robert Seifert receives research funding from Boehringer Ingelheim Funds and the Else Kröner-Fresenius Stiftung. Timo Bartel receives travel fees from PARI GmbH. Lukas Kessler is a consultant for AAA and BTG and receives fees from Sanofi. Work in the lab of Jens Siveke is supported by the German Cancer Consortium (DKTK). Jens Siveke receives honoraria as a consultant or for continuing medical education presentations from AstraZeneca, Bayer, Immunocore, Novartis, Roche/Genentech, and Servier. His institution receives research funding from Bristol-Myers Squibb, Celgene, Eisbach, Bio, and Roche/Genentech. He holds ownership in and serves on the Board of Directors of Pharma15. Katharina Lueckerath is a consultant for SOFIE Bioscience. Stefan Kasper receives honoraria from Merck Serono, MSD, Novartis, BMS, Amgen, Roche, Sanofi-Aventis, Servier, Incyte, and Lilly and research funding from Merck Serono, Lilly, BMS, and Roche. Ken Herrmann receives personal fees from Bayer, Sofie Biosciences, SIRTEX, Adacap, Curium, Endocyte, IPSEN, Siemens Healthineers, GE Healthcare, Amgen, Novartis, ymabs, Aktis Oncology, and Pharma15; nonfinancial support from ABX; and grants or personal fees from BTG. Rainer Hamacher is supported by the Clinician Scientist Program of the University Medicine Essen Clinician Scientist Academy (UMEA) sponsored by the faculty of medicine and Deutsche Forschungsgemeinschaft (DFG); has received travel grants from Lilly, Novartis, and PharmaMar; and has received fees from Lilly and PharmaMar. Wolfgang Fendler receives research funding from SOFIE Bioscience and Bayer; is a consultant to Janssen, Calyx, and Bayer; is on the speakers bureau for Janssen, Bayer, Novartis, and Telix; and does image review for Parexel. No other potential conflict of interest relevant to this article was reported.

KEY POINTS

QUESTION: Is 68Ga-FAPI-46 PET/CT superior to 18F-FDG PET/CT and conventional CT in a head-to-head comparison for staging cholangiocarcinoma?

PERTINENT FINDINGS: 68Ga-FAPI-46 PET/CT is superior to both other imaging modalities for detection efficacy, uptake intensity, and TBR. In line with these findings, immunohistochemistry demonstrates high FAP expression of the tumor samples.

IMPLICATIONS FOR PATIENTS CARE: 68Ga-FAPI-46 is a promising novel diagnostic test for staging cholangiocarcinoma. In the future, FAP-directed RLT may represent a new treatment option.

Footnotes

  • Published online Apr. 6, 2023.

  • © 2023 by the Society of Nuclear Medicine and Molecular Imaging.

Immediate Open Access: Creative Commons Attribution 4.0 International License (CC BY) allows users to share and adapt with attribution, excluding materials credited to previous publications. License: https://creativecommons.org/licenses/by/4.0/. Details: http://jnm.snmjournals.org/site/misc/permission.xhtml.

REFERENCES

  1. 1.↵
    1. Nakeeb A,
    2. Pitt HA,
    3. Sohn TA,
    4. et al
    . Cholangiocarcinoma: a spectrum of intrahepatic, perihilar and distal tumors. Ann Surg. 1996;224:463–473.
    OpenUrlCrossRefPubMed
  2. 2.↵
    1. Bergquist A,
    2. von Seth E
    . Epidemiology of cholangiocarcinoma. Baillieres Best Pract Res Clin Gastroenterol. 2015;29:221–232.
    OpenUrlPubMed
  3. 3.↵
    1. Shaib Y,
    2. El-Serag HB
    . The epidemiology of cholangiocarcinoma. Semin Liver Dis. 2004;24:115–125.
    OpenUrlCrossRefPubMed
  4. 4.↵
    1. Razumilava N,
    2. Gores GJ
    . Cholangiocarcinoma. Lancet. 2014;383:2168–2179.
    OpenUrlCrossRefPubMed
  5. 5.↵
    1. Park MJ,
    2. Kim YK,
    3. Lim S,
    4. Rhim H,
    5. Lee WJ
    . Hilar cholangiocarcinoma: value of adding DW imaging to gadoxetic acid-enhanced MR imaging with MR cholangiopancreatography for preoperative evaluation. Radiology. 2014;270:768–776.
    OpenUrlCrossRefPubMed
  6. 6.↵
    1. Valle JW,
    2. Borbath I,
    3. Khan SA,
    4. et al
    . Biliary cancer: ESMO clinical practice guidelines for diagnosis, treatment and follow-up. Ann Oncol. 2016;27(suppl 5):v28–v37.
    OpenUrlCrossRefPubMed
  7. 7.↵
    1. Suzuki H,
    2. Komuta M,
    3. Bolog A,
    4. et al
    . Relationship between 18F-fluoro-deoxy-D-glucose uptake and expression of glucose transporter 1 and pyruvate kinase M2 in intrahepatic cholangiocarcinoma. Dig Liver Dis. 2015;47:590–596.
    OpenUrl
  8. 8.↵
    1. Cho KM,
    2. Oh DY,
    3. Kim TY,
    4. et al
    . Metabolic characteristics of advanced biliary tract cancer using F-18-fluorodeoxyglucose positron emission tomography and their clinical implications. Oncologist. 2015;20:926–933.
    OpenUrlAbstract/FREE Full Text
  9. 9.↵
    1. Jansen K,
    2. Heirbaut L,
    3. Cheng JD,
    4. et al
    . Selective inhibitors of fibroblast activation protein (FAP) with a (4-quinolinoyl)-glycyl-2-cyanopyrrolidine scaffold. ACS Med Chem Lett. 2013;4:491–496.
    OpenUrl
  10. 10.↵
    1. Giesel FL,
    2. Kratochwil C,
    3. Lindner T,
    4. et al
    . 68Ga-FAPI PET/CT: biodistribution and preliminary dosimetry estimate of 2 DOTA-containing FAP-targeting agents in patients with various cancers. J Nucl Med. 2019;60:386–392.
    OpenUrlAbstract/FREE Full Text
  11. 11.↵
    1. Montori M,
    2. Scorzoni C,
    3. Argenziano ME,
    4. et al
    . Cancer-associated fibroblasts in cholangiocarcinoma: current knowledge and possible implications for therapy. J Clin Med. 2022;11:6498.
    OpenUrl
  12. 12.↵
    1. Kratochwil C,
    2. Flechsig P,
    3. Lindner T,
    4. et al
    . 68Ga-FAPI PET/CT: tracer uptake in 28 different kinds of cancer. J Nucl Med. 2019;60:801–805.
    OpenUrlAbstract/FREE Full Text
  13. 13.↵
    1. Lan L,
    2. Zhang S,
    3. Xu T,
    4. et al
    . Prospective comparison of 68Ga-FAPI versus 18F-FDG PET/CT for tumor staging in biliary tract cancers. Radiology. 2022;304:648–657.
    OpenUrl
  14. 14.↵
    1. Nader M,
    2. Valla DF,
    3. Vriamont C,
    4. et al
    . [68Ga]/[90Y]FAPI-46: automated production and analytical validation of a theranostic pair. Nucl Med Biol. 2022;110-111:37–44.
    OpenUrl
  15. 15.↵
    1. Kessler L,
    2. Ferdinandus J,
    3. Hirmas N,
    4. et al
    . 68Ga-FAPI as a diagnostic tool in sarcoma: data from the 68Ga-FAPI PET prospective observational trial. J Nucl Med. 2022;63:89–95.
    OpenUrlAbstract/FREE Full Text
  16. 16.↵
    1. Boellaard R,
    2. Delgado-Bolton R,
    3. Oyen WJ,
    4. et al
    . FDG-PET/CT: EANM procedure guidelines for tumour imaging: version 2.0. Eur J Nucl Med Mol Imaging. 2015;42:328–354.
    OpenUrlCrossRefPubMed
  17. 17.↵
    1. Cheung JYPF,
    2. Krengel K,
    3. Althoff K,
    4. et al
    . Progranulin promotes immune evasion of pancreatic ductal adenocarcinoma through regulation of MHCI expression. Nat Commun. 2022;13:156.
    OpenUrl
  18. 18.↵
    1. Al-Adra DP,
    2. Gill RS,
    3. Axford SJ,
    4. Shi X,
    5. Kneteman N,
    6. Liau SS
    . Treatment of unresectable intrahepatic cholangiocarcinoma with yttrium-90 radioembolization: a systematic review and pooled analysis. Eur J Surg Oncol. 2015;41:120–127.
    OpenUrlCrossRefPubMed
  19. 19.↵
    1. Ruys AT,
    2. van Beem BE,
    3. Engelbrecht MR,
    4. Bipat S,
    5. Stoker J,
    6. Van Gulik TM
    . Radiological staging in patients with hilar cholangiocarcinoma: a systematic review and meta-analysis. Br J Radiol. 2012;85:1255–1262.
    OpenUrlAbstract/FREE Full Text
  20. 20.↵
    1. Anderson CD,
    2. Rice MH,
    3. Pinson CW,
    4. Chapman WC,
    5. Chari RS,
    6. Delbeke D
    . Fluorodeoxyglucose PET imaging in the evaluation of gallbladder carcinoma and cholangiocarcinoma. J Gastrointest Surg. 2004;8:90–97.
    OpenUrlCrossRefPubMed
  21. 21.
    1. Kim YJ,
    2. Yun M,
    3. Lee WJ,
    4. Kim KS,
    5. Lee JD
    . Usefulness of 18F-FDG PET in intrahepatic cholangiocarcinoma. Eur J Nucl Med Mol Imaging. 2003;30:1467–1472.
    OpenUrlCrossRefPubMed
  22. 22.↵
    1. Lee Y,
    2. Yoo IR,
    3. Boo SH,
    4. Kim H,
    5. Park HL,
    6. Hyun OJ
    . The role of F-18 FDG PET/CT in intrahepatic cholangiocarcinoma. Nucl Med Mol Imaging. 2017;51:69–78.
    OpenUrl
  23. 23.↵
    1. Mona CE,
    2. Benz MR,
    3. Hikmat F,
    4. et al
    . Correlation of 68Ga-FAPi-46 PET biodistribution with FAP expression by immunohistochemistry in patients with solid cancers: a prospective translational exploratory study. J Nucl Med. 2022;63:1021–1026.
    OpenUrlAbstract/FREE Full Text
  24. 24.↵
    1. Loktev A,
    2. Lindner T,
    3. Mier W,
    4. et al
    . A tumor-imaging method targeting cancer-associated fibroblasts. J Nucl Med. 2018;59:1423–1429.
    OpenUrlAbstract/FREE Full Text
  25. 25.↵
    1. Park JE,
    2. Lenter MC,
    3. Zimmermann RN,
    4. Garin-Chesa P,
    5. Old LJ,
    6. Rettig WJ
    . Fibroblast activation protein, a dual specificity serine protease expressed in reactive human tumor stromal fibroblasts. J Biol Chem. 1999;274:36505–36512.
    OpenUrlAbstract/FREE Full Text
  26. 26.↵
    1. Lindner T,
    2. Loktev A,
    3. Altmann A,
    4. et al
    . Development of quinoline-based theranostic ligands for the targeting of fibroblast activation protein. J Nucl Med. 2018;59:1415–1422.
    OpenUrlAbstract/FREE Full Text
  27. 27.↵
    1. Byrling J,
    2. Sasor A,
    3. Nilsson J,
    4. Said Hilmersson K,
    5. Andersson R,
    6. Andersson B
    . Expression of fibroblast activation protein and the clinicopathological relevance in distal cholangiocarcinoma. Scand J Gastroenterol. 2020;55:82–89.
    OpenUrl
  28. 28.↵
    1. Gentilini A,
    2. Pastore M,
    3. Marra F,
    4. Raggi C
    . The role of stroma in cholangiocarcinoma: the intriguing interplay between fibroblastic component, immune cell subsets and tumor epithelium. Int J Mol Sci. 2018;19:2885.
    OpenUrl
  29. 29.↵
    1. Guedj N,
    2. Blaise L,
    3. Cauchy F,
    4. Albuquerque M,
    5. Soubrane O,
    6. Paradis V
    . Prognostic value of desmoplastic stroma in intrahepatic cholangiocarcinoma. Mod Pathol. 2021;34:408–416.
    OpenUrlPubMed
  30. 30.↵
    1. Herrmann K,
    2. Schwaiger M,
    3. Lewis JS,
    4. et al
    . Radiotheranostics: a roadmap to future development. Lancet Oncol. 2020;21:e146–e156.
    OpenUrl
  31. 31.↵
    1. Strosberg J,
    2. El-Haddad G,
    3. Wolin E,
    4. et al
    . Phase 3 Trial of 177Lu-Dotatate for midgut neuroendocrine tumors. N Engl J Med. 2017;376:125–135.
    OpenUrlCrossRefPubMed
  32. 32.↵
    1. Sartor O,
    2. de Bono J,
    3. Chi KN,
    4. et al
    . Lutetium-177-PSMA-617 for metastatic castration-resistant prostate cancer. N Engl J Med. 2021;385:1091–1103.
    OpenUrlCrossRefPubMed
  33. 33.↵
    1. Strosberg J,
    2. Wolin E,
    3. Chasen B,
    4. et al
    . Health-related quality of life in patients with progressive midgut neuroendocrine tumors treated with 177Lu-Dotatate in the phase III NETTER-1 trial. J Clin Oncol. 2018;36:2578–2584.
    OpenUrl
  34. 34.↵
    1. Ferdinandus J,
    2. Fragoso Costa P,
    3. Kessler L,
    4. et al
    . Initial clinical experience with 90Y-FAPI-46 radioligand therapy for advanced stage solid tumors: a case series of nine patients. J Nucl Med. 2022;63:727–734.
    OpenUrlAbstract/FREE Full Text
  35. 35.↵
    1. Fendler WP,
    2. Pabst KM,
    3. Kessler L,
    4. et al
    . Safety and efficacy of 90Y-FAPI-46 radioligand therapy in patients with advanced sarcoma and other cancer entities. Clin Cancer Res. 2022;28:4346–4353.
    OpenUrl
  36. 36.
    1. Ballal S,
    2. Yadav MP,
    3. Kramer V,
    4. et al
    . A theranostic approach of [68Ga]Ga-DOTA.SA.FAPi PET/CT guided [177Lu]Lu-DOTA.SA.FAPi radionuclide therapy in an end-stage breast cancer patient: new frontier in targeted radionuclide therapy. Eur J Nucl Med Mol Imaging. 2021;48:942–944.
    OpenUrl
  37. 37.↵
    1. Kaghazchi F,
    2. Aghdam RA,
    3. Haghighi S,
    4. Vali R,
    5. Adinehpour Z
    . 177Lu-FAPI therapy in a patient with end-stage metastatic pancreatic adenocarcinoma. Clin Nucl Med. 2022;47:e243–e245.
    OpenUrl
  38. 38.↵
    1. Schoen M,
    2. Braun T,
    3. Manava P,
    4. Ludwigs S,
    5. Lell M
    . Influence of scan time point and volume of intravenous contrast administration on blood-pool and liver SUVmax and SUVmean in [18F] FDG PET/CT. Nucl Med (Stuttg). 2018;57:50–55.
    OpenUrl
  • Received for publication November 18, 2022.
  • Revision received February 2, 2023.
PreviousNext
Back to top

In this issue

Journal of Nuclear Medicine: 64 (7)
Journal of Nuclear Medicine
Vol. 64, Issue 7
July 1, 2023
  • Table of Contents
  • Table of Contents (PDF)
  • About the Cover
  • Index by author
  • Complete Issue (PDF)
Print
Download PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on Journal of Nuclear Medicine.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Superior Tumor Detection for 68Ga-FAPI-46 Versus 18F-FDG PET/CT and Conventional CT in Patients with Cholangiocarcinoma
(Your Name) has sent you a message from Journal of Nuclear Medicine
(Your Name) thought you would like to see the Journal of Nuclear Medicine web site.
Citation Tools
Superior Tumor Detection for 68Ga-FAPI-46 Versus 18F-FDG PET/CT and Conventional CT in Patients with Cholangiocarcinoma
Kim M. Pabst, Marija Trajkovic-Arsic, Phyllis F.Y. Cheung, Simone Ballke, Katja Steiger, Timo Bartel, Benedikt M. Schaarschmidt, Aleksandar Milosevic, Robert Seifert, Michael Nader, Lukas Kessler, Jens T. Siveke, Katharina Lueckerath, Stefan Kasper, Ken Herrmann, Nader Hirmas, Hartmut H. Schmidt, Rainer Hamacher, Wolfgang P. Fendler
Journal of Nuclear Medicine Jul 2023, 64 (7) 1049-1055; DOI: 10.2967/jnumed.122.265215

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Superior Tumor Detection for 68Ga-FAPI-46 Versus 18F-FDG PET/CT and Conventional CT in Patients with Cholangiocarcinoma
Kim M. Pabst, Marija Trajkovic-Arsic, Phyllis F.Y. Cheung, Simone Ballke, Katja Steiger, Timo Bartel, Benedikt M. Schaarschmidt, Aleksandar Milosevic, Robert Seifert, Michael Nader, Lukas Kessler, Jens T. Siveke, Katharina Lueckerath, Stefan Kasper, Ken Herrmann, Nader Hirmas, Hartmut H. Schmidt, Rainer Hamacher, Wolfgang P. Fendler
Journal of Nuclear Medicine Jul 2023, 64 (7) 1049-1055; DOI: 10.2967/jnumed.122.265215
Twitter logo Facebook logo LinkedIn logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Bookmark this article

Jump to section

  • Article
    • Visual Abstract
    • Abstract
    • MATERIALS AND METHODS
    • RESULTS
    • DISCUSSION
    • CONCLUSION
    • DISCLOSURE
    • Footnotes
    • REFERENCES
  • Figures & Data
  • Supplemental
  • Info & Metrics
  • PDF

Related Articles

  • PubMed
  • Google Scholar

Cited By...

  • Fibroblast Activation Protein-Directed Imaging Outperforms 18F-FDG PET/CT in Malignant Mesothelioma: A Prospective, Single-Center, Observational Trial
  • Prognostic Implications of 68Ga-FAPI-46 PET/CT-Derived Parameters on Overall Survival in Various Types of Solid Tumors
  • 68Ga-Labeled Fibroblast Activation Protein Inhibitor (68Ga-FAPI) PET for Pancreatic Adenocarcinoma: Data from the 68Ga-FAPI PET Observational Trial
  • Google Scholar

More in this TOC Section

  • 177Lu-PSMA-617 Consolidation Therapy After Docetaxel in Patients with Synchronous High-Volume Metastatic Hormone-Sensitive Prostate Cancer: A Randomized, Phase 2 Trial
  • Transarterial Radioembolization in the TACOME Trial: Dosimetric Analysis and Clinical Features in Predicting Response and Overall Survival
  • Retreatment of Metastatic Castration-Resistant Prostate Cancer Patients with 223Ra Therapy in Daily Practice
Show more Clinical Investigation

Similar Articles

Keywords

  • 68Ga-FAPI-46 PET/CT
  • 18F-FDG PET/CT
  • conventional CT
  • cholangiocarcinoma
  • immunohistochemistry
SNMMI

© 2025 SNMMI

Powered by HighWire