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18F-FDG PET Response After Induction Chemotherapy Can Predict Who Will Benefit from Subsequent Esophagectomy After Chemoradiotherapy for Esophageal Adenocarcinoma.

ABSTRACT: This study aimed to determine whether 18F-FDG PET response after induction chemotherapy before concurrent chemoradiotherapy can identify patients with esophageal adenocarcinoma who may benefit from subsequent esophagectomy. Methods: We identified and analyzed 220 patients with esophageal adenocarcinoma who had received induction chemotherapy before chemoradiotherapy, with or without surgery, with curative intent; all underwent 18F-FDG PET scanning before and after induction chemotherapy. 18F-FDG PET responders were defined as patients who achieved complete response (CR) after induction chemotherapy (maximum SUV ? 3.0). The predictive value of 18F-FDG PET response for patient outcomes was evaluated. Results: Overall, 86 patients had bimodality therapy (BMT; induction chemotherapy + chemoradiotherapy) and 134 had trimodality therapy (TMT; induction chemotherapy + chemoradiotherapy with surgery). Forty-eight patients (21.8%) achieved an 18F-FDG PET CR after induction chemotherapy. 18F-FDG PET CR was found to correlate with overall survival (OS) and progression-free survival (PFS) in BMT patients. For TMT patients, 18F-FDG PET CR predicted pathologic response (P = 0.003) but not survival. Among 18F-FDG PET nonresponders, TMT patients had significantly better survival than did BMT patients (P < 0.001). However, among 18F-FDG PET responders, BMT patients had OS (P = 0.201) and PFS (P = 0.269) similar to that of TMT patients. After propensity score-matched analysis, 18F-FDG PET responders treated with BMT versus TMT still had comparable OS and PFS, but TMT was associated with better locoregional control. Conclusion:18F-FDG PET response to induction chemotherapy could be a useful imaging biomarker to identify patients with esophageal adenocarcinoma who could benefit from subsequent esophagectomy after chemoradiotherapy. Compared with BMT, TMT can significantly improve survival in 18F-FDG PET nonresponders. However, outcomes for 18F-FDG PET responders were similar after either treatment (BMT or TMT). Prospective validation of these findings is warranted.

SUBMITTER: Xi M

PROVIDER: S-EPMC5666643 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature

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18F-FDG PET Response After Induction Chemotherapy Can Predict Who Will Benefit from Subsequent Esophagectomy After Chemoradiotherapy for Esophageal Adenocarcinoma.

Xi Mian M Liao Zhongxing Z Hofstetter Wayne L WL Komaki Ritsuko R Ho Linus L Lin Steven H SH

Journal of nuclear medicine : official publication, Society of Nuclear Medicine 20170518 11

This study aimed to determine whether 18F-FDG PET response after induction chemotherapy before concurrent chemoradiotherapy can identify patients with esophageal adenocarcinoma who may benefit from subsequent esophagectomy. Methods: We identified and analyzed 220 patients with esophageal adenocarcinoma who had received induction chemotherapy before chemoradiotherapy, with or without surgery, with curative intent; all underwent 18F-FDG PET scanning before and after in ...[more]

PMID: 28522744

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Project description:BACKGROUND:To identify whether early metabolic responses as determined using 18F-fluorodeoxyglucose positron emission tomography/computed tomography (FDG PET/CT) during radiotherapy (RT) predict outcomes in patients with esophageal cancer. METHODS:Twenty-one patients with esophageal cancer who received pre-treatment 18F-FDG PET/CT (PET1) and inter-fractional 18F-FDG PET/CT (PET2) after 11 fractions of RT (median 23.1?Gy, 2.1?Gy per fraction) were retrospectively reviewed. The region of interest for each calculation was delineated using "PET Edge". We calculated PET parameters including maximum and mean standardized uptake values (SUVmax and SUVmean, respectively), metabolic tumor volume (MTV), and total lesion glycolysis (TLG). The relative changes (%) were calculated using the logarithmically transformed parameter values for the PET1 and PET2 scans. Multivariate analysis of locoregional recurrence and distant failures were performed using Cox regression analysis. After identifying statistically significant PET parameters for discriminating responders from non-responders, receiver operating characteristics curve analyses were used to assess the potentials of the studied PET parameters. RESULTS:After a median follow-up of 13?months, the 1-year overall and progression-free survival rates were 79.0% and 34.4%, respectively. Four patients developed locoregional recurrences (LRRs) and 8 had distant metastases (DMs). The 1-year overall LRR-free rate was 76.9% while the DM-free rate was 60.6%. The relative changes in MTV (?MTV) were significantly associated with LRR (p =?0.03). Conversely, the relative changes in SUVmean (?SUVmean) were associated with the risk of DM (p =?0.02). An ?MTV threshold of 1.14 yielded a sensitivity of 60%, specificity of 94%, and an accuracy of 86% for predicting an LRR. Additionally, a ?SUVmean threshold of a 35% decrease yielded a sensitivity of 67%, specificity of 83%, and accuracy of 76% for the prediction DM. TRIAL REGISTRATION:Retrospectively registered. CONCLUSIONS:Changes in tumor metabolism during RT could be used to predict treatment responses, recurrences, and prognoses in patients with esophageal cancer.

Project description:We extracted image features from serial 18F-labeled fluorodeoxyglucose (FDG) positron emission tomography (PET) / computed tomography (CT) scans of anal cancer patients for the prediction of tumor recurrence after chemoradiation therapy (CRT). Seventeen patients (4 recurrent and 13 non-recurrent) underwent three PET/CT scans at baseline (Pre-CRT), in the middle of the treatment (Mid-CRT) and post-treatment (Post-CRT) were included. For each patient, Mid-CRT and Post-CRT scans were aligned to Pre-CRT scan. Comprehensive image features were extracted from CT and PET (SUV) images within manually delineated gross tumor volume, including geometry features, intensity features and texture features. The difference of feature values between two time points were also computed and analyzed. We employed univariate logistic regression model, multivariate model, and naïve Bayesian classifier to analyze the image features and identify useful tumor recurrent predictors. The area under the receiver operating characteristic (ROC) curve (AUC) was used to evaluate the accuracy of the prediction. In univariate analysis, six geometry, three intensity, and six texture features were identified as significant predictors of tumor recurrence. A geometry feature of Roundness between Post-CRT and Pre-CRT CTs was identified as the most important predictor with an AUC value of 1.00 by multivariate logistic regression model. The difference of Number of Pixels on Border (geometry feature) between Post-CRT and Pre-CRT SUVs and Elongation (geometry feature) of Post-CRT CT were identified as the most useful feature set (AUC = 1.00) by naïve Bayesian classifier. To investigate the early prediction ability, we used features only from Pre-CRT and Mid-CRT scans. Orientation (geometry feature) of Pre-CRT SUV, Mean (intensity feature) of Pre-CRT CT, and Mean of Long Run High Gray Level Emphasis (LRHGLE) (texture feature) of Pre-CRT CT were identified as the most important feature set (AUC = 1.00) by multivariate logistic regression model. Standard deviation (intensity feature) of Mid-CRT SUV and difference of Mean of LRHGLE (texture feature) between Mid-CRT and Pre-CRT SUVs were identified as the most important feature set (AUC = 0.86) by naïve Bayesian classifier. The experimental results demonstrated the potential of serial PET/CT scans in early prediction of anal tumor recurrence.

Project description:ObjectivesPost-chemoradiotherapy (CRT) FDG PET is a useful prognosticator of esophageal cancer. However, debate on the diverse criteria of previous publications preclude worldwide multicenter comparisons, and even a universal practice guide. We aimed to validate a simple qualitative interpretation criterion of post-CRT FDG PET for outcome stratification and compare it with other criteria.MethodsThe post-CRT FDG PET of 114 patients with esophageal squamous cell carcinoma (ESCC) were independently interpreted using a qualitative 4-point scale (Qual4PS) that identified focal esophageal FDG uptake greater than liver uptake as residual tumor. Cohen's ? coefficient (?) was used to measure interobserver agreement of Qual4PS. The Kaplan-Meier method and Cox proportional hazards regression analyses were used for survival analysis. Other criteria included a different qualitative approach (QualBK), maximal standardized uptake values (SUVmax3.4, SUVmax2.5), relative change of SUVmax between pre- and post-CRT FDG PET (?SUVmax), mean standardized uptake values (SUVmean), metabolic volume (MV) and total lesion glycolysis (TLG).ResultsOverall interobserver agreement on the Qual4PS criterion was excellent (?: 0.95). Except the QualBK, SUVmax2.5, and TLG, all the other criteria were significant predictors for overall survival (OS). Multivariable analysis showed only Qual4PS (HR: 15.41; P = 0.005) and AJCC stage (HR: 2.47; P = 0.007) were significant independent variables. The 2-year OS rates of Qual4PS(?) patients undergoing CRT alone (68.4%) and patients undergoing trimodality therapy (62.5%) were not significant different, but the 2-year OS rates of Qual4PS(+) patients undergoing CRT alone (10.0%) were significantly lower than in patients undergoing trimodality therapy (42.1%).ConclusionsThe Qual4PS criterion is reproducible for assessing the response of ESCC to CRT, and valuable for predicting survival. It may add value to response-adapted treatment for ESCC patients, and help to decide whether surgery is warranted after CRT.

Dataset Information

18F-FDG PET Response After Induction Chemotherapy Can Predict Who Will Benefit from Subsequent Esophagectomy After Chemoradiotherapy for Esophageal Adenocarcinoma.

Publications

<sup>18</sup>F-FDG PET Response After Induction Chemotherapy Can Predict Who Will Benefit from Subsequent Esophagectomy After Chemoradiotherapy for Esophageal Adenocarcinoma.

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