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Clinical Investigation |
1 Nuclear Medicine, IRCCS National Cancer Institute, Fondazione "G. Pascale," Naples, Italy; 2 Medical Oncology A, IRCCS National Cancer Institute, Fondazione "G. Pascale," Naples, Italy; 3 Surgical Oncology C, IRCCS National Cancer Institute, Fondazione "G. Pascale," Naples, Italy; 4 Radiotherapy, IRCCS National Cancer Institute, Fondazione "G. Pascale," Naples, Italy; 5 Pathology, IRCCS National Cancer Institute, Fondazione "G. Pascale," Naples, Italy; and 6 Surgical Endoscopy, IRCCS National Cancer Institute, Fondazione "G. Pascale," Naples, Italy
Correspondence: For correspondence or reprints contact: Secondo Lastoria, MD, UOC Medicina Nucleare Istituto Nazionale Tumori, Fondazione "G. Pascale" Via Marino Semmola, 80131, Napoli, Italy. E-mail: lastoria.mednuc{at}fondazionepascale.it
| ABSTRACT |
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52%. Conclusion: This study shows that early 18F-FDG PET can predict pathologic response to preoperative treatment. These findings support the usefulness of 18F-FDG PET during the management with radiochemotherapy of LARC patients.
Key Words: 18F-FDG PET radiochemotherapy standardized uptake value locally advanced rectal cancer tumor regression grade
| INTRODUCTION |
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Several imaging modalities are currently used for staging LARC as well as for monitoring the response to preoperative radiochemotherapy. MRI has been shown to improve the accuracy of endorectal ultrasonography (EUS) in staging the local extension, by defining the involvement of the circumferential resection margin (CRM; the smallest radial distance between the margin of the mesorectal fascia and viable tumor) (8,9). This information enables better definition of patients with high risk of recurrence (10). On the other hand, there is a low accuracy of EUS and MRI in the assessment of response to radiochemotherapy, as both techniques have been shown to be poorly reliable in differentiating viable tumor from scar or inflammatory tissue; thus, EUS and MRI have a negligible impact on predicting pathologic findings (11,12). A complete or subtotal pathologic tumor response has a major impact on prognosis since it is associated with a low risk of recurrence (13,14). For this reason, the ability to predict pathologic tumor response would have a pivotal role in patient management.
18F-FDG PET is a powerful, noninvasive tool for imaging tumor metabolic activity and can be used to assess changes in tumor glucose metabolism after radiation, chemotherapy, or both. The semiquantitative assessment of glucose metabolism by evaluating the standardized uptake value (SUV) has been shown to have clinical relevance in several tumor types. A strong correlation between 18F-FDG SUV changes and pathologic response has been demonstrated in different cancers (15,16). Early changes in glucose metabolism, measured within 14 d after the start of preoperative radiochemotherapy, have been shown to predict response in esophageal cancer, suggesting a relevant role for 18F-FDG PET in monitoring therapeutic activity (17).
Therefore, we have performed a prospective study to monitor 18F-FDG PET findings during primary radiochemotherapy in LARC and correlate the observed changes with pathologic findings. The pathologic response was classified as tumor regression grade (TRG), because it has been shown to better define tumor regression after primary radiochemotherapy (18).
| MATERIALS AND METHODS |
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5 cm from the anal verge or a CRM of
5 mm, defined by MRI, were enrolled.
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The clinical CRM was
5 mm in 20 patients, whereas it was >5 mm in 10 cases. In 3 patients, MRI was not performed because of the presence of a metal prosthesis or of metallic stitches. The tumor was located <5 cm from the anal verge in 16 patients.
All of these patients were taking part in a phase III trial of preoperative radiochemotherapy (20), which was approved by the Independent Ethical Committee of the National Cancer Institute of Naples, and all patients gave written informed consent to participate in this trial.
Preoperative Radiochemotherapy
Radiotherapy was performed using a 3-field technique (posteroanterior and 2 lateral fields).
Standard fractions of 1.8 Gy/d to the reference point were given 5 times a week up to a total dose of 45 Gy. The clinical target volume encompassed the tumor and the whole mesorectum, the common and internal iliac nodes, and the pelvic nodes plus a 1.5-cm margin. Multileaf collimator shielding was always used to protect the small bowel and the bone marrow. A 3-dimensional plan was performed with a dedicated treatment planning system after online CT virtual simulation.
The preoperative concomitant chemotherapy consisted of 3 biweekly cycles of oxaliplatin as a 2-h intravenous infusion and raltitrexed as a 15- min intravenous infusion on day 1, and folinic acid (LFA) intravenously over 2 h followed by 5-fluorouracil (5FU) as an intravenous bolus on day 2 on the first, third, and fifth week of radiotherapy. All patients received the same dose level of the planned combination regimen, which included oxaliplatin (100 mg/m2), raltitrexed (2.5 mg/m2), LFA (250 mg/m2), and 5FU (900 mg/m2).
PET
18F-FDG PET scans were planned before (baseline) and 12 d after the beginning of combination treatment (intermediate). In 17 patients an additional 18F-FDG PET scan was performed after radiochemotherapy, a few days before surgery (presurgical). PET studies (ECAT EXACT 47; Siemens) were acquired in 2-dimensional whole-body mode 60 min after the administration of 300385 MBq using 4-min emission and 1-min transmission acquisitions for each bed position. The patients fasted for at least 6 h, and the blood glucose level was <150 mg/dL. Image data were reconstructed into a 128 x 128 matrix, with the ordered-subsets expectation maximization algorithm (2 iterations, 16 subsets). The emission data were corrected for decay, dead time, random coincidences, and measured photon attenuation.
Irregular regions of interest (ROIs) were semiautomatically drawn by the same investigator on transaxial planes using a dedicated workstation and software (e.soft version 4.0.8.15; Siemens), using a region-growing method that included pixels above a threshold value (typically set between 20% and 50% of the maximum pixel value), which was defined to include all viable tumor within lesion margins. The process required intervention by the investigator only for the rough definition of the tumor area and for setting the threshold values. For each tumor volume, both the maximum SUV (SUV-max) and the mean SUV (SUV-mean) were calculated as follows: SUV = (measured activity concentration [Bq/mL])/(injected activity [Bq]/body weight [kg] x 1,000). SUV-max was considered as the maximum value measured in the visualized lesion, whereas SUV-mean was determined from the average activity values in the ROIs.
The analysis of 18F-FDG PET results was performed by comparison of the metabolic activity in the rectal lesion at baseline, intermediate, and presurgical scans (when performed), and the changes were expressed as the percentage of SUV reduction, by dividing the the intermediate by baseline SUV (early change), presurgical by intermediate SUV (late change), and presurgical by baseline (overall change). Complete resolution of 18F-FDG uptake in the tumor so that it was indistinguishable from normal surrounding tissue was considered a complete metabolic response; therefore, a 100% reduction of metabolic activity was assumed.
Surgical Approach and Evaluation of Pathologic Response
Patients underwent TME 8 wk after completing radiochemotherapy. An anterior resection or an abdominoperineal resection was performed on the basis of the results of restaging.
The surgical specimens containing the tumor were processed and evaluated by a pathologist who was unaware of the clinical and PET findings. CRM was examined by sampling a 1-mm-thick slice (21) and defined as positive if tumor residuals were found
1 mm from the margin. Lymph nodes were searched by the manual dissection method (22).
Tumor regression was evaluated according to the TRG score (23) as follows: TRG1, complete response with absence of residual cancer and fibrosis extending through the wall; TRG2, presence of residual cancer cells scattered through the fibrosis; TRG3, increase in the number of residual cancer cells, with fibrosis predominant; TRG4, residual cancer outgrowing fibrosis; TRG5, absence of regressive changes. Tumors with a TRG1 or a TRG2 score were considered responders, whereas remaining tumors (TRG3, TRG4, and TRG5) were classified as nonresponders.
Statistical Analysis
The statistical analyses were performed using SPSS software (version 12; SPSS Inc.). The quantitative values were expressed as median and range. The comparison of individual SUV changes over time was performed using the Wilcoxon signed-rank test. Differences in SUV-max and SUV-mean between pathologic responders and nonresponders were evaluated using the MannWhitney test.
The 18F-FDG uptake observed in the baseline, intermediate, and presurgical scans was correlated with the TRG groups using the KruskalWallis test. The same test was also applied to compare the SUV values and SUV changes with the Gunderson risk strata, CRM status, tumor location, and TRGs.
The receiver-operator-characteristic (ROC) curves were plotted for both SUV-mean and SUV-max changes to evaluate accuracy (test variable) for the prediction of the pathologic response (state variable), and the optimal threshold value (the one yielding the highest sensitivity and specificity) was identified to differentiate responders from nonresponders.
| RESULTS |
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A complete resection (R0) was achieved in all responder patients. In contrast, a microscopically positive resection (R1) was observed in 2 of 15 nonresponder patients.
Time Course of 18F-FDG Uptake and Correlation with Clinical Staging
In all patients, intense 18F-FDG uptake within the tumor was detected on the baseline scan, with a median SUV-max of 11.20 (range, 5.3036.90) and a median SUV-mean of 8.3 (range, 3.2018.58). No significant relationship between SUVs and Gunderson risk strata, clinical CMR status, or tumor location was found.
A reduction of glucose metabolism was measured in all patients 12 d after the start of radiochemotherapy (P < 0.0001). Patient 17 showed a complete metabolic response (100% reduction). In the remaining 32 patients, SUV-max ranged from 1.9 to 11.3 (median, 6.0); the SUV-mean ranged from 1.9 to 9.1 (median, 4.0).
Early changes in SUV-max and SUV-mean were extremely variable, ranging from 1% to 100% for SUV-max and from 2% to 100% for SUV-mean (Table 1). Median values were 50% and 56%, respectively. No statistical correlation was observed between early change and the Gunderson risk strata, CMR status, or tumor location.
Moreover, in the 17 patients who had a preoperative PET scan, a further reduction of 18F-FDG uptake was observed (P = 0.012). Complete metabolic response was found in 9 of 17 patients. In the remaining 8 patients, the median value of SUV-max was 2.7 (range, 2.48.3) and of SUV-mean was 2.1 (range, 2.06.3). The median value of the late change for the entire group was 100% for SUV-max (range, 19% to 100%) and 100% for SUV-mean (range, 22% to 100%). Moreover, diffuse rectal 18F-FDG uptake, with no focal hot spots, was noted in 5 patients. This appeared to be related to postradiotherapy changes occurring in tissues surrounding the tumor. Persistent intense 18F-FDG tumor uptake at the end of treatment was observed in only 1 patient (patient 12, Table 1: SUV-max of 8.3 and SUV-mean of 6.3), in whom a poor early change was observed as well.
The time course of 18F-FDG SUV-max and SUV-mean values is summarized in Figure 1.
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| DISCUSSION |
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At 12 d from the beginning of therapy, the SUV decreased in all tumors, although this reduction was very small (<10%) in 3 cases. In no instance did we observe an increase in 18F-FDG uptake in and surrounding the tumor at this early scanning time. Previous studies had raised concerns of possible increases in 18F-FDG uptake in and around tumors early after radiation treatment that could possibly yield false-positive results. This was described in an early study (24) in which scans performed on patients with recurrent colorectal cancer shortly after combination treatment with traditional and neutron radiation therapy showed lower than expected reduction in 18F-FDG uptake, which was attributed to inflammation secondary to radiation injury. This study, however, was performed with early-generation whole-body scanners with perhaps lower overall image quality than currently available, particularly in imaging the pelvis. Another study performed in animal tumor models showed that inflammatory cells within tumors contribute significantly to the overall uptake of 18F-FDG (25). Furthermore, studies performed in cell culture models show a transient increase in 18F-FDG uptake in cancer cells shortly after irradiation (26). On the other hand, Schiepers et al. showed that 18F-FDG uptake on PET scans performed within 2 wk from the end of a 2-wk course of radiation treatment was significantly reduced and was correlated with the viable tumor volume (27). On the basis of observations of previously published studies and our own results, we hypothesize that nonspecific 18F-FDG accumulation during chemo- or radiotherapy is likely to have minimal impact and may be affected by the timing of the PET scan. In our series, we found significant reduction in tumor 18F-FDG uptake and no interference by inflammatory or other nonspecific phenomena in PET scans performed 12 d after the beginning of treatment.
The main finding of this study is that early changes in SUV-mean accurately predict the pathologic findings in LARC, although a high statistical significance was observed also for SUV-max. In fact, as shown by ROC analysis, a SUV-mean early decrease
52% correctly predicted all responder patients. Measurement of the SUV-mean most likely better reflects behavior of the entire tumor mass, where heterogeneity of tumor cells and of the architecture of the lesion (viable cells mixed to fibrosis or necrosis) must be considered. Similarly, the TRG estimates the viable tumor cells and coexisting fibrosis ratio. This observation may explain the high correlation between the early SUV-mean change and the TRG score findings.
Conversely, although preoperative PET scans were performed only on a limited number of patients, the data obtained from these scans were less predictive of the pathologic response and these findings affected the accuracy of overall and late SUV changes. In this light, our results are similar to those reported on advanced esophageal cancer (17) and further support the usefulness of performing 18F-FDG PET early during preoperative radiochemotherapy of LARC. Indeed, we found a further reduction of 18F-FDG SUV on all presurgical PET scans; however, in 5 patients classified as nonresponders, a late SUV decrease
50% was observed. Moreover, 18F-FDG uptake was undetectable in the presurgical scan on 2 patients with a TRG3 or TRG4. The explanation for such low or undetectable 18F-FDG tumor uptake might be related either to the low number of viable tumor cells within the lesion or to the background activity, increased by the radiation effects. Furthermore, the presence of "stunned" tumor cells late during the course of radiochemotherapy should also be considered.
Other studies indicate a predictive value of presurgical 18F-FDG PET on pathologic response assessed as a reduction of at least 1 T level (2832). In this regard, it should be noted that the pTNM system may be inadequate for assessing response, as it only considers the location of residual tumor cells within the different strata of the rectum. Consequently, this classification does not differentiate between tumors harbored within the same stratum having gross or minimal residual disease. Conversely, the TRG-based assessment provides a more uniform method of evaluation, as it considers both the amount of residual tumor cells and the presence of fibrosis (18).
Finally, it is of interest to note that a recent study evaluating the predictive value of gene expression profiling on preoperative biopsies of LARCs through sophisticated molecular analyses (33) has yielded lower accuracy compared with our current 18F-FDG PET findings. Given the dynamic induction of drug resistance mechanisms by preoperative radiochemotherapy, the ability to adequately predict response requires longitudinal analysis (34). In this respect, PET is a powerful predictive tool as it can evaluate changes of metabolic activity in the entire tumor mass and it gives the possibility of easily performing multiple determinations for detailed longitudinal analyses.
| CONCLUSION |
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| FOOTNOTES |
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| References |
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