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

[18F]FDG and [68Ga]Ga-FAPI-04–Directed Imaging for Outcome Prediction in Patients with High-Grade Neuroendocrine Neoplasms

Kerstin Michalski, Aleksander Kosmala, Philipp E. Hartrampf, Marieke Heinrich, Sebastian E. Serfling, Wiebke Schlötelburg, Andreas K. Buck, Alexander Meining, Rudolf A. Werner and Alexander Weich
Journal of Nuclear Medicine December 2024, 65 (12) 1899-1903; DOI: https://doi.org/10.2967/jnumed.124.268288
Kerstin Michalski
1Department of Nuclear Medicine, University Hospital Würzburg, Würzburg, Germany;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Aleksander Kosmala
1Department of Nuclear Medicine, University Hospital Würzburg, Würzburg, Germany;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Philipp E. Hartrampf
1Department of Nuclear Medicine, University Hospital Würzburg, Würzburg, Germany;
2NET-Zentrum Würzburg, European Neuroendocrine Tumor Society Center of Excellence, University Hospital Würzburg, Würzburg, Germany;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Marieke Heinrich
1Department of Nuclear Medicine, University Hospital Würzburg, Würzburg, Germany;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Sebastian E. Serfling
1Department of Nuclear Medicine, University Hospital Würzburg, Würzburg, Germany;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Wiebke Schlötelburg
1Department of Nuclear Medicine, University Hospital Würzburg, Würzburg, Germany;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Andreas K. Buck
1Department of Nuclear Medicine, University Hospital Würzburg, Würzburg, Germany;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Alexander Meining
2NET-Zentrum Würzburg, European Neuroendocrine Tumor Society Center of Excellence, University Hospital Würzburg, Würzburg, Germany;
3Department of Internal Medicine II, Gastroenterology, University Hospital Würzburg, Würzburg, Germany;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Rudolf A. Werner
2NET-Zentrum Würzburg, European Neuroendocrine Tumor Society Center of Excellence, University Hospital Würzburg, Würzburg, Germany;
4Department of Nuclear Medicine, Clinic for Radiology and Nuclear Medicine, University Hospital, Goethe University Frankfurt, Frankfurt, Germany; and
5Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Alexander Weich
2NET-Zentrum Würzburg, European Neuroendocrine Tumor Society Center of Excellence, University Hospital Würzburg, Würzburg, Germany;
3Department of Internal Medicine II, Gastroenterology, University Hospital Würzburg, Würzburg, 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

This article has a correction. Please see:

  • Erratum - January 01, 2025

Visual Abstract

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

Abstract

We aimed to quantitatively investigate the prognostic value of PET-based biomarkers on [18F]FDG and [68Ga]Ga-fibroblast activation protein inhibitor (FAPI)-04 PET/CT in patients with highly aggressive neuroendocrine neoplasms (NENs) and to compare the visually assessed differences in uptake on both examinations with progression-free survival (PFS). Methods: In this single-center retrospective analysis, 20 patients with high-grade NENs had undergone [18F]FDG and [68Ga]Ga-FAPI-04 PET. Both PET scans were visually compared, and the presence of [18F]FDG-positive, [68Ga]Ga-FAPI-04–negative (FDG+/FAPI−) lesions was noted. In addition, we assessed maximum, peak, and mean SUV; tumor volume (TV); and total lesion uptake (TLU = TV × SUVmean) for both radiotracers using a 40% lesion-based threshold. The results of quantitative and visual analysis were correlated with PFS using log-rank analysis or univariate Cox regression. PFS was defined radiographically using RECIST 1.1., clinically using signs of disease progression, or as death. Results: Most primary tumors were located in the gastrointestinal tract (13/20 patients, 65%) or were cancer of unknown primary (5/20 patients, 25%). FDG+/FAPI− lesions were found in 9 of 20 patients (45%). Patients with FDG+/FAPI− lesions had a significantly decreased PFS of 4 mo, compared with 9 mo for patients without FDG+/FAPI− metastases (P = 0.0063 [log-rank test]; hazard ratio [HR], 5.637; 95% CI 1.619–26.16; P = 0.0110 [univariate Cox regression]). On univariate analysis, a significant correlation was also found between PFS and TV for both radiotracers ([18F]FDG: mean TV, 258 ± 588 cm3; HR, 1.024 [per 10 cm3]; 95% CI, 1.007–1.046; P = 0.0204) ([68Ga]Ga-FAPI-04: mean TV, 130 ± 192 cm3; HR, 1.032 [per 10 cm3]; 95% CI, 1.001–1.062; P = 0.0277) and TLU on [18F]FDG PET (mean TLU, 1,931 ± 4,248 cm3; HR, 1.004 [per 10 cm3]; 95% CI, 1.001–1.007; P = 0.0135). Conclusion: The presence of discordant FDG+/FAPI− lesions is associated with a significantly shorter PFS, which might indicate more aggressive disease prone to early progression. Dual-tracer PET/CT of patients with highly aggressive NENs could help guide treatment decisions or identify high-risk lesions for additional local therapeutic approaches.

  • dual-tracer PET/CT
  • FAPI and FDG
  • discordant lesions
  • neuroendocrine neoplasms
  • outcome prediction

Neuroendocrine neoplasms (NENs) are a rare heterogeneous group of tumors with a predominantly neuroendocrine differentiation that may occur in many different organ systems but occurs most commonly in the gastrointestinal tract and the lung. The clinical course varies considerably between patients, depending on the degree of dedifferentiation, which is reflected by tumor grade. Grading depends on histomorphologic features as well as proliferation index (Ki-67) and segregates NENs into differentiated neuroendocrine tumors (NETs) and poorly differentiated neuroendocrine carcinomas (NECs). Differentiated NETs can be divided into low-grade (G1; Ki-67, 1%–2%), intermediate-grade (G2; Ki-67, 3%–20%), and high-grade (G3; Ki-67, >20%) types (1,2). NECs are always considered high-grade and poorly differentiated, typically displaying a Ki-67 of more than 70%. In rare cases, NENs (well-differentiated and poorly differentiated) can occur as mixed NENs and non-NENs (MiNENs) that display components of neuroendocrine as well as adenoid differentiation. In most cases, the neuroendocrine component consists of a NEC and the tumor is aggressive (1).

Well-differentiated NENs show high expression of somatostatin receptors (SSTRs). Thus, they can be studied and treated using a theranostic approach with radiolabeled DOTA-peptides such as [68Ga]Ga/[177Lu]Lu-DOTATATE (3). [18F]FDG PET/CT is used in patients with poorly differentiated NENs and in high-grade NENs before SSTR-directed radiopharmaceutical therapy to exclude possible SSTR-negative lesions or to detect more aggressive subclones that would be pivotal to the patient’s prognosis. In this sense, detection of these lesions could guide local therapeutic approaches or lead to an adjustment of systemic treatment. This tumor heterogeneity cannot be detected by a core biopsy of a single tumor lesion but needs molecular whole-body tumor assessment that can be provided by PET (4). Regardless of the tumor grade, [18F]FDG PET also predicts an aggressive course of disease and a poorer prognosis (5,6).

Cancer-associated fibroblasts are another possible molecular target for PET in NENs. These fibroblasts enhance tumor invasion, tumorigenesis, and metastasis by promoting angiogenesis, epithelial–mesenchymal transition, and proliferation or secretion of soluble factors in many solid tumors of the digestive system (7). Fibroblast activation protein (FAP) is overexpressed on cancer-associated fibroblasts and can be targeted by FAP inhibitor (FAPI) PET (8). FAP is especially overexpressed by epithelial carcinomas but—to a much lesser extent—might also be found on tumors with neuroendocrine differentiation (3). Kratochwil et al. described high in vivo FAP expression imaged by PET in different adenocarcinomas and rather moderate uptake in a small number of NETs (9). In a previous study, our group showed that [68Ga]Ga-FAPI-04 is a useful staging method for highly proliferative NENs (G3 NETs or NECs) of the gastroenteropancreatic system (10). We therefore aimed to investigate the use of dual-tracer [68Ga]Ga-FAPI-04 and [18F]FDG PET/CT in assessing tumor heterogeneity in patients with NENs and the prognostic value of this assessment.

MATERIALS AND METHODS

Patient Cohort

Patients were included in this retrospective single-center study if they had a histologically proven highly aggressive NEN (G3 NET, NEC, or MiNEN) and in-house assessment of [68Ga]Ga-FAPI-04 and [18F]FDG PET/CT. The interval between scans had to be no more than 3 mo, without intermittent tumor-specific therapy. Patients were excluded if follow-up data were missing. Patients underwent dual-tracer PET/CT on a compassionate-use basis by the treating physicians to detect possible heterogeneous or aggressive tumor lesions that might change the tumor grade. Written informed consent was obtained from all patients. The need for further approval was waived by the local institutional review board because of the retrospective nature of the study (study 20230721 01). Parts of the cohort have been published before (10) but without focusing on the impact of dual-tracer PET/CT.

Image Acquisition

Synthesis and labeling of [68Ga]Ga-FAPI-04 was performed as described previously (11). [18F]FDG was produced using a GE FASTlab synthesis module (GE HealthCare). The radiochemical purity of [18F]FDG was at least 95%. Patients had to fast for at least 6 h, and the blood glucose level had to be lower than 180 mg/dL before [18F]FDG injection. The mean injected activity of [18F]FDG was 235 MBq (range, 154–316 MBq). At 1 h after injection of both tracers, patients underwent whole-body PET (from vertex to mid thigh) with a scan duration of 2 min per bed position. A Biograph mCT device (64 or 128; Siemens Healthineers) was used with or without intravenous contrast material (activated automatic tube current modulation; reference mAs, 35 mAs for low-dose scans and 160 mAs for full-dose scans; tube voltage, 120 keV/100 keV [mCT 64/mCT 128]; pitch, 1.4/0.8 [mCT 64/mCT 128]; collimation, 64/128 × 0.6 mm; rotation time, 0.5 s; reconstructed axial slice thickness, 3.0–5.0 mm), and PET images were reconstructed using standard parameters (3-dimensional mode; matrix, 200 × 200; iterations, 3; subsets, 24 [mCT 64]/21 [mCT 128]; gaussian filtering, 2.0 mm).

Image Analysis

All PET/CT scans were quantitatively analyzed by one board-certified radiologist using Syngo.via (Siemens Healthineers) with a 40% lesion-specific threshold as already published by our group (12–15). Maximum, peak, and mean SUV; tumor volume (TV); and total lesion uptake (TLU = TV × SUVmean) for both radiotracers were noted. Visual assessment of discordant [18F]FDG-positive, [68Ga]Ga-FAPI-04–negative (FDG+/FAPI−) lesions was done in consensus by one board-certified radiologist and one board-certified nuclear medicine specialist, both with more than 5 y of PET/CT reading experience. FDG+/FAPI− was defined as visually higher uptake than in the liver on [18F]FDG PET and lack of uptake compared with local background on [68Ga]Ga-FAPI-04 PET. All lesions that were visually assessed as discordant had to show a higher SUVpeak and tumor-to-background ratio (SUVpeak of tumor lesions/SUVmean of the descending aorta). In addition, the volume of FDG+/FAPI− lesions on [18F]FDG PET was noted.

Statistical Analysis

Prism version 9.3.1 (GraphPad Software) was used for statistical analysis. Descriptive data are presented as mean ± SD and range. Quantitative data from both PET scans were compared using the Wilcoxon matched-pairs signed rank test. Progression data were analyzed by Kaplan–Meier curves and log-rank comparison. Univariate Cox proportional-hazards regression for continuous variables was undertaken. Progression-free survival (PFS) was defined radiographically using RECIST 1.1., clinically using signs of disease progression as assessed by the treating physicians, or as death from any cause. Radiographic PFS was assessed by one board-certified radiologist using RECIST 1.1 (16). Calculation of PFS started with the day of the [68Ga]Ga-FAPI-04 PET/CT scan and continued until progression.

RESULTS

Patient Cohort

This study included 20 patients (11 men, 9 women) with highly aggressive NENs (G3 NETs, NECs, and MiNENs) who underwent [68Ga]Ga-FAPI-04 and [18F]FDG PET/CT between July 2020 and March 2023. The mean time between the scans was 10 ± 14 d (range, 1–63 d). The mean patient age on the day of [68Ga]Ga-FAPI-04 PET/CT was 60 ± 10 y (range, 38–81 y). The mean Ki-67 was 69% ± 24% (range, 14%–90%), and most patients had NECs (9/20 patients, 45%) or MiNENs (6/20 patients, 30%). Detailed patient characteristics are given in Table 1.

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

Patient Characteristics

PFS-Prognostic FDG+/FAPI− Lesion Discordance

Metastatic sites were found in 18 of 20 patients (90%) in the liver (n = 12), lymph nodes (n = 12), bones (n = 8), lungs (n = 3), and peritoneum (n = 3). FDG+/FAPI− lesions were found in 9 of 20 patients (45%, an example patient is shown in Fig. 1), with the following organ systems affected: liver (n = 4), bones (n = 3), and lymph nodes (n = 2). Discordant FDG+/FAPI− lesions were found in patients with all included histologic subtypes: NECs (n = 5), MiNENs (n = 2), and G3 NETs (n = 2). A detailed evaluation of FDG+/FAPI− lesions can be found in Supplemental Table 1 (supplemental materials are available at http://jnm.snmjournals.org). The mean discordant volume on [18F]FDG PET was 11.6 ± 8.7 cm3 (0.8–26.7 cm3), which consists of 13.4% ± 14.9% (range, 1%–47%) of the total volume on [18F]FDG PET. In 2 of 20 patients (10%), reverse-discordant FDG+/FAPI− lesions were found in the bones.

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

Maximum-intensity projection (MIP), CT, PET, and fused images of [68Ga]Ga-FAPI-04 PET/CT and [18F]FDG PET/CT of patient 2. Images show concordant high uptake in multiple lymph node metastases and advanced peritoneal carcinomatosis. In addition, [18F]FDG PET shows osseous metastases not seen on [68Ga]Ga-FAPI-04 PET (arrows). Time difference between scans was 1 d.

The median PFS of all patients was 8 mo, with 16 patients showing progression. Patients with FDG+/FAPI− lesions had a significantly shorter PFS (4 mo) than did patients without FDG+/FAPI− metastases (9 mo) (P = 0.0063; Fig. 2).

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

Kaplan–Meier curves of PFS of patients with (n = 9, red line) or without (n = 11, blue line) discordant FDG+/FAPI− lesions. Patients with discordant lesions showed significantly shorter median PFS (4 mo) than patients without (9 mo, P = 0.0063).

On quantitative analysis, no significant differences in extracted values were found between the 2 radiotracers in any patients (P > 0.2): [18F]FDG TV, 258 ± 588 cm3 (range, 1–2,604 cm3); [68Ga]Ga-FAPI-04 TV, 130 ± 192 cm3 (range, 1–735 cm3); [18F]FDG TLU, 1,931 ± 4,248 cm3 (range, 1–18,682 cm3); [68Ga]Ga-FAPI-04 TLU, 1,024 ± 1,644 cm3 (range, 1–6,534 cm3); [18F]FDG SUVmean, 6.7 ± 3.6 (range, 1.7–15.2); [68Ga]Ga-FAPI-04 SUVmean, 6.2 ± 3.2 (range, 1.3–15.4); [18F]FDG SUVmax, 12.3 ± 6.1 (range, 1.7–27.7); [68Ga]Ga-FAPI-04 SUVmax, 11.5 ± 6.4 (range, 1.3–29.3); [18F]FDG SUVpeak, 7.9 ± 3.9 (range, 1.7–17.8); and [68Ga]Ga-FAPI-04 SUVpeak, 7.1 ± 4.7 (range, 1.3–22.2). On univariate analysis, a significant correlation was found between PFS and the presence of FDG+/FAPI− lesions, TV for both radiotracers, and TLU on [18F]FDG PET. The other quantitative parameters failed to reach significance (Table 2).

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

Univariate Analysis

DISCUSSION

To our knowledge, this study was the first to evaluate the prognostic impact of dual-tracer [18F]FDG and [68Ga]Ga-FAPI-04 PET/CT in patients with various highly aggressive NENs, including rare cases of MiNENs. We found discordant FDG+/FAPI− lesions in a substantial fraction of patients (45%), reflecting tumor heterogeneity. These patients showed a significantly reduced PFS of 4 mo, compared with the 9 mo in patients without FDG+/FAPI− lesions (P = 0.0063). Interestingly, discordant FDG+/FAPI− lesions were found in patients with different histologic grades. Whole-body tumor assessment using PET apparently adds molecular findings to pathologic examination, although the relative proportion of the discordant volume is rather small.

Dendl et al. examined 55 patients with rare tumor entities using [68Ga]Ga-FAPI-04 PET/CT. Among these, 4 patients had neuroendocrine cancer and showed modest uptake, even though patients with epithelial carcinoma appeared to be more suitable for [68Ga]Ga-FAPI-04 PET/CT (17). However, uptake was not compared with [18F]FDG in this analysis. In general, [68Ga]Ga-FAPI-04 PET offers a high tumor-to-background ratio, which enables, especially, a better depiction of liver metastases (18,19).

Discordant lesions on [18F]FDG PET and PET targeting the prostate-specific membrane antigen (PSMA) have already been widely discussed in patients with metastasized castration-resistant prostate cancer (20–26). Detection of [18F]FDG-positive/PSMA-negative lesions was a significant negative predictor for overall survival in patients before PSMA-targeted radiopharmaceutical therapy in a retrospective analysis (21). However, PSMA is the target used for endoradiotherapy in a theranostic approach, whereas the patients included in this study were not treated with FAP-targeted endoradiotherapy and the reduced outcome cannot be explained by reduced uptake of the therapeutic agent. Of note, FAP-targeted radiopharmaceutical therapy is a possible therapeutic option and has shown promising results in other tumor entities (27). FAP-targeted radiopharmaceutical therapy could broaden therapeutic options in patients with low or heterogeneous SSTR expression on SSTR-directed PET/CT. In this sense, our results indicate the need for a dual-tracer approach to exclude FAP-negative lesions that cannot be targeted by endoradiotherapy.

Chan et al. investigated dual-tracer PET/CT in patients with NENs using [18F]FDG and SSTR-directed PET/CT. Both in a retrospective monocentric analysis with 62 patients and in a retrospective multicenter study with 319 patients, discordant [18F]FDG-positive but SSTR-negative lesions were a negative predictor for overall survival in patients with gastroenteropancreatic NENs (28,29). In a recent analysis, Chan et al. examined the discrepancies of TV on [18F]FDG and [68Ga]Ga-DOTATATE PET/CT in a retrospective multicenter analysis. The authors included 44 patients with gastroenteropancreatic NENs and found a significantly reduced overall survival for patients with a highly discordant TV compared with a less discordant TV (30). To our knowledge, our study is the first to describe discordant lesions on [18F]FDG and [68Ga]Ga-FAPI-04 PET/CT for patients with NENs. In analogy to discordant lesions on [18F]FDG and SSTR-directed PET, a soley high glycolytic index in some lesions on molecular imaging appears to be predictive of patient outcome. Interestingly, a high glucose metabolism (reflected by SUVmax/SUVpeak) was not relevant for outcome prediction but for the presence of discordant lesions.

This retrospective single-center analysis had several limitations. Because of the rarity of NENs, our study included only 20 patients with heterogeneous primary tumors. However, this was, to our knowledge, the largest cohort of patients with highly aggressive NENs examined with [68Ga]Ga-FAPI-04 and [18F]FDG PET/CT. We did not investigate the diagnostic potential of these tracers for NENs, as the focus of this analysis was to elucidate tumor heterogeneity and its prognostic impact. We used PFS for outcome definition because most patients underwent dual-tracer PET/CT as part of their primary staging, resulting in a long follow-up time until death. Last, the interval between scans could be up to 3 mo as an inclusion criterion, potentially leading to false-positive discordant FDG+/FAPI− lesions. However, the interval between discordant PET scans was short (range, 1–21 d; mean, 9 d). Hence, the presence of discordant lesions was not due to progression between the scans.

CONCLUSION

The presence of discordant FDG+/FAPI− lesions is associated with a significantly shorter PFS in patients with high-grade NENs, possibly indicating more aggressive disease prone to early progression. Of note, the impact of in vivo visualization of this tumor heterogeneity using dual-tracer PET/CT was not related to tumor grade. Thus, the combination of [68Ga]Ga-FAPI-04 and [18F]FDG PET/CT in patients with NENs could help guide treatment decisions or identify lesions for additional stereotactic approaches.

DISCLOSURE

This work was supported by the Bavarian Cancer Research Center (personal grant to Kerstin Michalski) and by the Interdisciplinary Center of Clinical Research (IZKF), University Hospital of Wuerzburg (grant Z-2/91 to Wiebke Schlötelburg and grant Z-3BC/08 to Kerstin Michalski). No other potential conflict of interest relevant to this article was reported.

KEY POINTS

QUESTION: Is tumor heterogeneity as assessed with [18F]FDG and [68Ga]Ga-FAPI-04 PET/CT relevant to outcome in patients with highly aggressive NENs?

PERTINENT FINDINGS: In this retrospective, single-center study, patients with FDG+/FAPI− lesions (9/20) had a significantly shorter PFS.

IMPLICATIONS FOR PATIENT CARE: Dual-tracer PET/CT of patients with high-grade NENs could help guide treatment decisions or identify high-risk lesions for additional local therapeutic approaches.

Footnotes

  • Published online Oct. 30, 2024.

  • © 2024 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: https://jnm.snmjournals.org/page/permissions.

REFERENCES

  1. 1.↵
    1. Rindi G,
    2. Mete O,
    3. Uccella S,
    4. et al
    . Overview of the 2022 WHO Classification of Neuroendocrine Neoplasms. Endocr Pathol. 2022;33:115–154.
    OpenUrlCrossRefPubMed
  2. 2.↵
    1. Sultana Q,
    2. Kar J,
    3. Verma A,
    4. et al
    . A comprehensive review on neuroendocrine neoplasms: presentation, pathophysiology and management. J Clin Med. 2023;12:5138.
    OpenUrlPubMed
  3. 3.↵
    1. Fortunati E,
    2. Argalia G,
    3. Zanoni L,
    4. Fanti S,
    5. Ambrosini V
    . New PET radiotracers for the imaging of neuroendocrine neoplasms. Curr Treat Options Oncol. 2022;23:703–720.
    OpenUrlPubMed
  4. 4.↵
    1. Schwenck J,
    2. Sonanini D,
    3. Cotton JM,
    4. et al
    . Advances in PET imaging of cancer. Nat Rev Cancer. 2023;23:474–490.
    OpenUrlPubMed
  5. 5.↵
    1. Bahri H,
    2. Laurence L,
    3. Edeline J,
    4. et al
    . High prognostic value of 18F-FDG PET for metastatic gastroenteropancreatic neuroendocrine tumors: a long-term evaluation. J Nucl Med. 2014;55:1786–1790.
    OpenUrlAbstract/FREE Full Text
  6. 6.↵
    1. Binderup T,
    2. Knigge U,
    3. Johnbeck CB,
    4. et al
    . 18F-FDG PET is superior to WHO grading as a prognostic tool in neuroendocrine neoplasms and useful in guiding PRRT: a prospective 10-year follow-up study. J Nucl Med. 2021;62:808–815.
    OpenUrlAbstract/FREE Full Text
  7. 7.↵
    1. Huang L,
    2. Xu AM,
    3. Liu S,
    4. Liu W,
    5. Li TJ
    . Cancer-associated fibroblasts in digestive tumors. World J Gastroenterol. 2014;20:17804–17818.
    OpenUrlPubMed
  8. 8.↵
    1. Mori Y,
    2. Dendl K,
    3. Cardinale J,
    4. Kratochwil C,
    5. Giesel FL,
    6. Haberkorn U
    . FAPI PET: fibroblast activation protein inhibitor use in oncologic and nononcologic disease. Radiology. 2023;306:e220749.
    OpenUrlCrossRefPubMed
  9. 9.↵
    1. Kratochwil C,
    2. Flechsig P,
    3. Lindner T,
    4. et al
    . Ga-FAPI PET/CT: tracer uptake in 28 different kinds of cancer. J Nucl Med. 2019;60:801–805.
    OpenUrlAbstract/FREE Full Text
  10. 10.↵
    1. Kosmala A,
    2. Serfling SE,
    3. Schlotelburg W,
    4. et al
    . Impact of 68Ga-FAPI-04 PET/CT on staging and therapeutic management in patients with digestive system tumors. Clin Nucl Med. 2023;48:35–42.
    OpenUrlPubMed
  11. 11.↵
    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
  12. 12.↵
    1. Kosmala A,
    2. Serfling SE,
    3. Dreher N,
    4. et al
    . Associations between normal organs and tumor burden in patients imaged with fibroblast activation protein inhibitor-directed positron emission tomography. Cancers (Basel). 2022;14:2609.
    OpenUrlPubMed
  13. 13.
    1. Werner RA,
    2. Hanscheid H,
    3. Leal JP,
    4. et al
    . Impact of tumor burden on quantitative [68Ga] DOTATOC biodistribution. Mol Imaging Biol. 2019;21:790–798.
    OpenUrlPubMed
  14. 14.
    1. Werner RA,
    2. Bundschuh RA,
    3. Bundschuh L,
    4. et al
    . Semiquantitative parameters in PSMA-targeted PET imaging with [18F]DCFPyL: impact of tumor burden on normal organ uptake. Mol Imaging Biol. 2020;22:190–197.
    OpenUrlPubMed
  15. 15.↵
    1. Serfling SE,
    2. Lapa C,
    3. Dreher N,
    4. et al
    . Impact of tumor burden on normal organ distribution in patients imaged with CXCR4-targeted [68Ga]Ga-PentixaFor PET/CT. Mol Imaging Biol. 2022;24:659–665.
    OpenUrlPubMed
  16. 16.↵
    1. Eisenhauer EA,
    2. Therasse P,
    3. Bogaerts J,
    4. et al
    . New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). Eur J Cancer. 2009;45:228–247.
    OpenUrlCrossRefPubMed
  17. 17.↵
    1. Dendl K,
    2. Finck R,
    3. Giesel FL,
    4. et al
    . FAP imaging in rare cancer entities: first clinical experience in a broad spectrum of malignancies. Eur J Nucl Med Mol Imaging. 2022;49:721–731.
    OpenUrlPubMed
  18. 18.↵
    1. Giesel FL,
    2. Kratochwil C,
    3. Schlittenhardt J,
    4. et al
    . Head-to-head intra-individual comparison of biodistribution and tumor uptake of 68Ga-FAPI and 18F-FDG PET/CT in cancer patients. Eur J Nucl Med Mol Imaging. 2021;48:4377–4385.
    OpenUrlPubMed
  19. 19.↵
    1. Cheng Z,
    2. Zou SJ,
    3. Cheng SY,
    4. Song S,
    5. Zhu XH
    . Comparison of F-FDG, Ga-FAPI, and Ga-DOTATATE PET/CT in a patient with pancreatic neuroendocrine tumor. Clin Nucl Med. 2021;46:764–765.
    OpenUrlPubMed
  20. 20.↵
    1. Hartrampf PE,
    2. Lapa C,
    3. Serfling SE,
    4. et al
    . Development of discordant hypermetabolic prostate cancer lesions in the course of [177Lu]PSMA radioligand therapy and their possible influence on patient outcome. Cancers (Basel). 2021;13:4270.
    OpenUrlPubMed
  21. 21.↵
    1. Michalski K,
    2. Ruf J,
    3. Goetz C,
    4. et al
    . Prognostic implications of dual tracer PET/CT: PSMA ligand and [18F]FDG PET/CT in patients undergoing [177Lu]PSMA radioligand therapy. Eur J Nucl Med Mol Imaging. 2021;48:2024–2030.
    OpenUrlPubMed
  22. 22.
    1. Thang SP,
    2. Violet J,
    3. Sandhu S,
    4. et al
    . Poor outcomes for patients with metastatic castration-resistant prostate cancer with low prostate-specific membrane antigen (PSMA) expression deemed ineligible for 177Lu-labelled PSMA radioligand therapy. Eur Urol Oncol. 2019;2:670–676.
    OpenUrlPubMed
  23. 23.
    1. Hofman MS,
    2. Violet J,
    3. Hicks RJ,
    4. et al
    . [177Lu]-PSMA-617 radionuclide treatment in patients with metastatic castration-resistant prostate cancer (LuPSMA trial): a single-centre, single-arm, phase 2 study. Lancet Oncol. 2018;19:825–833.
    OpenUrlCrossRefPubMed
  24. 24.
    1. Hofman MS,
    2. Emmett L,
    3. Sandhu S,
    4. et al
    . [177Lu]Lu-PSMA-617 versus cabazitaxel in patients with metastatic castration-resistant prostate cancer (TheraP): a randomised, open-label, phase 2 trial. Lancet. 2021;397:797–804.
    OpenUrlCrossRefPubMed
  25. 25.
    1. Rosar F,
    2. Ribbat K,
    3. Ries M,
    4. et al
    . Neuron-specific enolase has potential value as a biomarker for [18F]FDG/[68Ga]Ga-PSMA-11 PET mismatch findings in advanced mCRPC patients. EJNMMI Res. 2020;10:52.
    OpenUrlPubMed
  26. 26.↵
    1. Khreish F,
    2. Ribbat K,
    3. Bartholoma M,
    4. et al
    . Value of combined PET imaging with [18F]FDG and [68Ga]Ga-PSMA-11 in mCRPC patients with worsening disease during [177Lu]Lu-PSMA-617 RLT. Cancers (Basel). 2021;13:4134.
    OpenUrlPubMed
  27. 27.↵
    1. Privé BM,
    2. Boussihmad MA,
    3. Timmermans B,
    4. et al
    . Fibroblast activation protein-targeted radionuclide therapy: background, opportunities, and challenges of first (pre)clinical studies. Eur J Nucl Med Mol Imaging. 2023;50:1906–1918.
    OpenUrlCrossRefPubMed
  28. 28.↵
    1. Chan DLH,
    2. Pavlakis N,
    3. Schembri GP,
    4. et al
    . Dual somatostatin receptor/FDG PET/CT imaging in metastatic neuroendocrine tumours: proposal for a novel grading scheme with prognostic significance. Theranostics. 2017;7:1149–1158.
    OpenUrlPubMed
  29. 29.↵
    1. Chan DL,
    2. Hayes AR,
    3. Karfis I,
    4. et al
    . Dual [Ga]DOTATATE and [F]FDG PET/CT in patients with metastatic gastroenteropancreatic neuroendocrine neoplasms: a multicentre validation of the NETPET score. Br J Cancer. 2023;128:549–555.
    OpenUrlPubMed
  30. 30.↵
    1. Chan DL,
    2. Hayes AR,
    3. Karfis I,
    4. et al
    . [18F]FDG PET/CT-avid discordant volume as a biomarker in patients with gastroenteropancreatic neuroendocrine neoplasms: a multicenter study. J Nucl Med. 2024;65:185–191.
    OpenUrlAbstract/FREE Full Text
  • Received for publication June 25, 2024.
  • Accepted for publication September 30, 2024.
PreviousNext
Back to top

In this issue

Journal of Nuclear Medicine: 65 (12)
Journal of Nuclear Medicine
Vol. 65, Issue 12
December 1, 2024
  • 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.
[18F]FDG and [68Ga]Ga-FAPI-04–Directed Imaging for Outcome Prediction in Patients with High-Grade Neuroendocrine Neoplasms
(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
[18F]FDG and [68Ga]Ga-FAPI-04–Directed Imaging for Outcome Prediction in Patients with High-Grade Neuroendocrine Neoplasms
Kerstin Michalski, Aleksander Kosmala, Philipp E. Hartrampf, Marieke Heinrich, Sebastian E. Serfling, Wiebke Schlötelburg, Andreas K. Buck, Alexander Meining, Rudolf A. Werner, Alexander Weich
Journal of Nuclear Medicine Dec 2024, 65 (12) 1899-1903; DOI: 10.2967/jnumed.124.268288

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
[18F]FDG and [68Ga]Ga-FAPI-04–Directed Imaging for Outcome Prediction in Patients with High-Grade Neuroendocrine Neoplasms
Kerstin Michalski, Aleksander Kosmala, Philipp E. Hartrampf, Marieke Heinrich, Sebastian E. Serfling, Wiebke Schlötelburg, Andreas K. Buck, Alexander Meining, Rudolf A. Werner, Alexander Weich
Journal of Nuclear Medicine Dec 2024, 65 (12) 1899-1903; DOI: 10.2967/jnumed.124.268288
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

  • Erratum
  • PubMed
  • Google Scholar

Cited By...

  • No citing articles found.
  • Google Scholar

More in this TOC Section

  • First-in-Human Study of 18F-Labeled PET Tracer for Glutamate AMPA Receptor [18F]K-40: A Derivative of [11C]K-2
  • Detection of HER2-Low Lesions Using HER2-Targeted PET Imaging in Patients with Metastatic Breast Cancer: A Paired HER2 PET and Tumor Biopsy Analysis
  • [11C]Carfentanil PET Whole-Body Imaging of μ-Opioid Receptors: A First in-Human Study
Show more Clinical Investigation

Similar Articles

Keywords

  • dual-tracer PET/CT
  • FAPI and FDG
  • discordant lesions
  • neuroendocrine neoplasms
  • outcome prediction
SNMMI

© 2025 SNMMI

Powered by HighWire