Cancer Management and Research (Jul 2021)
Predicting Response to Total Neoadjuvant Treatment (TNT) in Locally Advanced Rectal Cancer Based on Multiparametric Magnetic Resonance Imaging: A Retrospective Study
Abstract
Ganlu Ouyang,1 Xibiao Yang,2 Xiangbing Deng,3 Wenjian Meng,3 Yongyang Yu,3 Bing Wu,2 Dan Jiang,4 Pei Shu,1 Ziqiang Wang,3 Jin Yao,2 Xin Wang1 1Department of Radiation Oncology/Abdominal Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, People’s Republic of China; 2Department of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, People’s Republic of China; 3Department of Gastrointestinal Surgery, West China Hospital, Sichuan University, Chengdu, 610041, People’s Republic of China; 4Department of Pathology, West China Hospital, Sichuan University, Chengdu, 610041, People’s Republic of ChinaCorrespondence: Xin WangDepartment of Radiation Oncology/Abdominal Oncology, Cancer Center, West China Hospital, Sichuan University, No. 37 of Wainan Guoxue Lane, Wuhou District, Chengdu, 610041, People’s Republic of ChinaTel +86 18980602291Email [email protected]: To investigate the potential value of magnetic resonance imaging (MRI) in predicting response relevance to total neoadjuvant treatment (TNT) in locally advanced rectal cancer.Methods: We analyzed MRI of 71 patients underwent TNT from 2015 to 2017 retrospectively. We categorized the response of TNT as CR (complete response) vs non-CR, and high vs moderate vs low sensitivity. Logistic regression analysis was used to identify the best predictors of response. Diagnostic performance was assessed using receiver operating characteristic curve analysis.Results: Post-ICT (induction chemotherapy) ∆TL (tumor length), post-CRT (concurrent chemoradiotherapy) ∆LNN (the numbers of lymph node metastases), post-CCT (consolidation chemotherapy) ∆SDWI (maximum cross-sectional area of tumor on diffusion-weighted imaging), post-CCT ADCT (the mean apparent diffusion coefficient values of tumor) and post-CCT ∆LNV (volume of lymph node) were the best CR predictors. Post-ICT ∆TL, post-CRT EMVI (extramural vascular invasion) and post-CCT ∆ST2 (S on T2-weight) were the best significant factors for high sensitivity.Conclusion: Post-ICT ∆TL may be an early predictor of CR and high sensitivity to TNT. Dynamic analysis based on MRI between baseline and post-CCT could provide the most valuable prediction of CR. The grouping modality of CR vs non-CR may be more suitable for treatment response prediction than high vs moderate vs low sensitivity.Keywords: rectal cancer, total neoadjuvant treatment, MRI, response, TRG
