Literature DB >> 29459138

Could early tumour volume changes assessed on morphological MRI predict the response to chemoradiation therapy in locally-advanced rectal cancer?

A Palmisano1, A Esposito2, A Di Chiara2, A Ambrosi3, P Passoni4, N Slim4, C Fiorino5, L Albarello6, N Di Muzio4, R Calandrino5, R Rosati7, A Del Maschio2, F De Cobelli2.   

Abstract

AIM: To investigate the potential role of an additional magnetic resonance imaging (MRI) examination performed during neoadjuvant chemoradiation therapy (CRT) in the prediction of pathological response in locally advanced rectal cancer (LARC).
MATERIAL AND METHODS: Forty-eight consecutive patients with LARC underwent neoadjuvant CRT. MRI studies at 1.5 T, including high-resolution T2-weighted sequences that were acquired parallel and perpendicular to the main axis of the tumour were performed before (preMRI), during (midMRI), and 6-8 weeks after the end of CRT (postMRI). Cancer volumes (Vpre, Vmid, Vpost) were drawn manually and the reduction rate calculated (ΔVmid, ΔVpost). According to Rödel's pathological tumour regression grade (TRG), patients were considered non-responders (NR; TRG0-2), partial responders (PR; TRG3), and complete responders (CR; TRG4). Multivariate regression analysis was performed to identify the best MRI predictors of NR, PR, and CR.
RESULTS: Twenty-five patients were considered PR (52%), 13 CR (27%), and 10 NR (22%). Tumour shrinkage mainly occurred shortly after CRT (ΔVmid: CR: 80±10% versus PR: 56±19% versus NR: 28±22%, p=2.2×10-16). Vmid, Vpost, ΔVmid, and ΔVpost correlated with TRG (p<0.001). At multivariate analysis, the combined assessment of Vmid and ΔVmid was selected as the best predictor of response to CRT, in that it distinguishes CR, PR, and NR early and accurately (81.5%).
CONCLUSION: MidMRI allows final response assessment to neoadjuvant CRT earlier and better than the MRI performed after the end of CRT. MRI findings at midMRI may be useful to tailor patient treatment.
Copyright © 2018 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

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Year:  2018        PMID: 29459138     DOI: 10.1016/j.crad.2018.01.007

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  6 in total

1.  Accurate outcome prediction after neo-adjuvant radio-chemotherapy for rectal cancer based on a TCP-based early regression index.

Authors:  Claudio Fiorino; Paolo Passoni; Anna Palmisano; Calogero Gumina; Giovanni M Cattaneo; Sara Broggi; Alessandra Di Chiara; Antonio Esposito; Martina Mori; Monica Ronzoni; Riccardo Rosati; Najla Slim; Francesco De Cobelli; Riccardo Calandrino; Nadia G Di Muzio
Journal:  Clin Transl Radiat Oncol       Date:  2019-07-03

Review 2.  MRI Evaluation of Complete Response of Locally Advanced Rectal Cancer After Neoadjuvant Therapy: Current Status and Future Trends.

Authors:  Qiaoyu Xu; Yanyan Xu; Hongliang Sun; Tao Jiang; Sheng Xie; Bee Yen Ooi; Yi Ding
Journal:  Cancer Manag Res       Date:  2021-06-01       Impact factor: 3.989

3.  THUNDER 2: THeragnostic Utilities for Neoplastic DisEases of the Rectum by MRI guided radiotherapy.

Authors:  Giuditta Chiloiro; Davide Cusumano; Luca Boldrini; Angela Romano; Lorenzo Placidi; Matteo Nardini; Elisa Meldolesi; Brunella Barbaro; Claudio Coco; Antonio Crucitti; Roberto Persiani; Lucio Petruzziello; Riccardo Ricci; Lisa Salvatore; Luigi Sofo; Sergio Alfieri; Riccardo Manfredi; Vincenzo Valentini; Maria Antonietta Gambacorta
Journal:  BMC Cancer       Date:  2022-01-15       Impact factor: 4.430

4.  T2 relaxation time for the early prediction of treatment response to chemoradiation in locally advanced rectal cancer.

Authors:  Yuxi Ge; Yanlong Jia; Xiaohong Li; Weiqiang Dou; Zhong Chen; Gen Yan
Journal:  Insights Imaging       Date:  2022-07-07

5.  Delta radiomics for rectal cancer response prediction with hybrid 0.35 T magnetic resonance-guided radiotherapy (MRgRT): a hypothesis-generating study for an innovative personalized medicine approach.

Authors:  Luca Boldrini; Davide Cusumano; Giuditta Chiloiro; Calogero Casà; Carlotta Masciocchi; Jacopo Lenkowicz; Francesco Cellini; Nicola Dinapoli; Luigi Azario; Stefania Teodoli; Maria Antonietta Gambacorta; Marco De Spirito; Vincenzo Valentini
Journal:  Radiol Med       Date:  2018-10-29       Impact factor: 3.469

6.  Predicting Response to Total Neoadjuvant Treatment (TNT) in Locally Advanced Rectal Cancer Based on Multiparametric Magnetic Resonance Imaging: A Retrospective Study.

Authors:  Ganlu Ouyang; Xibiao Yang; Xiangbing Deng; Wenjian Meng; Yongyang Yu; Bing Wu; Dan Jiang; Pei Shu; Ziqiang Wang; Jin Yao; Xin Wang
Journal:  Cancer Manag Res       Date:  2021-07-13       Impact factor: 3.989

  6 in total

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