Oncology research and treatment · 2025
Structured Magnetic Resonance Imaging Assessment Improves Diagnosis of Pathological Complete Response in Rectal Cancer after Neoadjuvant Chemoradiation.
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Li Moying, Dieckmann Tobias, Herrle Florian, Hofheinz Ralf-Dieter, Hielscher Thomas, Hertel Alexander, Schweitzer Sophia, Hetjens Svetlana, Betge Johannes, Belle Sebastian, Schulte Nadine, Reißfelder Christoph, Boda-Heggemann Judit, Dreher Constantin, Brochhausen Christoph, Ebert Matthias P, Froelich Matthias F, Zhan Tianzuo
Аннотация
INTRODUCTION: Precise prediction of pathological complete response (pCR) following neoadjuvant chemoradiotherapy (nCRT) in rectal cancer may identify candidates for non-operative management. The optimal selection of diagnostic tools is, therefore, of major clinical importance.
METHODS: Clinical, laboratory, endoscopic, and radiological data of patients with rectal cancer treated with nCRT and surgery at an academic medical center from 2010 to 2020 were retrospectively collected. Pre- and post-nCRT magnetic resonance imaging (MRI) was reviewed with a structured report template and assessed by magnetic resonance imaging tumor regression grade (mrTRG). Two senior radiologists reviewed mrTRG independently to determine the inter-reader agreement. Univariate logistic regression was applied to identify parameters that predict pCR. A multivariate prediction model was developed using L1-penalized logistic regression, with performance assessed by area under the curve (AUC) in the total cohort (apparent AUC) and by cross-validation (CV-AUC).
RESULTS: A total of 261 patients were identified, of whom 36 achieved pCR. Univariate analysis showed a significant correlation between post-nCRT features with pCR, including radiological T-stage (odds ratio [OR] 0.05 [0.02-0.15], p < 0.001), mrTRG (OR 0.13 [0.05-0.31], p < 0.001), and endoscopic response (OR 0.17 [0.05-0.54], p = 0.032). Of those, mrTRG showed the highest AUC of 0.77 with a substantial inter-reader agreement (kappa = 0.71, 95% confidence interval: 0.61-0.81). The multivariate predictive model selected eight pre- and post-nCRT parameters with an apparent AUC of 0.84 and a CV-AUC of 0.73.
CONCLUSION: Therapy response assessed by MRI, particularly by mrTRG, strongly predicted pCR. Therefore, mrTRG should be implemented in routine assessment of rectal cancer treated by nCRT.
METHODS: Clinical, laboratory, endoscopic, and radiological data of patients with rectal cancer treated with nCRT and surgery at an academic medical center from 2010 to 2020 were retrospectively collected. Pre- and post-nCRT magnetic resonance imaging (MRI) was reviewed with a structured report template and assessed by magnetic resonance imaging tumor regression grade (mrTRG). Two senior radiologists reviewed mrTRG independently to determine the inter-reader agreement. Univariate logistic regression was applied to identify parameters that predict pCR. A multivariate prediction model was developed using L1-penalized logistic regression, with performance assessed by area under the curve (AUC) in the total cohort (apparent AUC) and by cross-validation (CV-AUC).
RESULTS: A total of 261 patients were identified, of whom 36 achieved pCR. Univariate analysis showed a significant correlation between post-nCRT features with pCR, including radiological T-stage (odds ratio [OR] 0.05 [0.02-0.15], p < 0.001), mrTRG (OR 0.13 [0.05-0.31], p < 0.001), and endoscopic response (OR 0.17 [0.05-0.54], p = 0.032). Of those, mrTRG showed the highest AUC of 0.77 with a substantial inter-reader agreement (kappa = 0.71, 95% confidence interval: 0.61-0.81). The multivariate predictive model selected eight pre- and post-nCRT parameters with an apparent AUC of 0.84 and a CV-AUC of 0.73.
CONCLUSION: Therapy response assessed by MRI, particularly by mrTRG, strongly predicted pCR. Therefore, mrTRG should be implemented in routine assessment of rectal cancer treated by nCRT.