Literature DB >> 26462793

MRI tumor volume reduction rate vs tumor regression grade in the pre-operative re-staging of locally advanced rectal cancer after chemo-radiotherapy.

Emanuele Neri1, Elisa Guidi2, Francesca Pancrazi2, Maura Castagna3, Elisa Castelluccio3, Riccardo Balestri4, Piero Buccianti4, Luca Masi5, Alfredo Falcone5, Bruno Manfredi6, Lorenzo Faggioni2, Carlo Bartolozzi2.   

Abstract

OBJECTIVE: To compare tumor volume reduction rate (TVRR) measured by MR volumetry after preoperative chemoradiotherapy (CRT) and pathological tumor regression grade (TRG) in locally advanced rectal cancer (LARC).
MATERIAL AND METHODS: In total, 20 patients with LARC (cT3-T4) treated with CRT followed by Total Mesorectal Excision (TME) between April 2011 and April 2013 were analyzed retrospectively. Pre- and post- CRT tumor volumes (MR volumetry) were measured on 3D MR sequences. TVRR was determined using the equation TVRR (%)=(pre-CRT tumor volume-post-CRT tumor volume)×100/pre-CRT tumor volume. The downstaging (defined as ypT0-T2) of tumor mass was evaluated and the correlation between TVRR and TRG was calculated with the method proposed by Dworak using the Spearman rank test.
RESULTS: The median TVRR was 77.3% (range, 26.4-99.3%); TVRR was >60% in 18 cases (90%) and in 8 of these patients (44.4 %) it was >80%. Downstaging of tumor lesions was obtained in 15 patients (75%). In 4 cases there was a complete tumor regression (TRG4) at histological examination and in the same patients there was also a TVRR>80% measured by MR volumetry. A statistically significant correlation between TVRR and TRG (r(s)=0.5466, p=0.0126) was observed.
CONCLUSION: TVRR after preoperative CRT correlates with TRG in LARC. The MR volumetry is a prognostic factor to estimate the tumor response after preoperative CRT. TVRR data may be an useful biomarker for tailoring surgery and postoperative adjuvant chemotherapy.
Copyright © 2015. Published by Elsevier Ireland Ltd.

Entities:  

Keywords:  Image processing; MR; Quantitative imaging; Rectal cancer; Staging

Mesh:

Year:  2015        PMID: 26462793     DOI: 10.1016/j.ejrad.2015.08.008

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  12 in total

1.  Morphologic predictors of pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer.

Authors:  Chongda Zhang; Feng Ye; Yuan Liu; Han Ouyang; Xinming Zhao; Hongmei Zhang
Journal:  Oncotarget       Date:  2017-12-19

2.  Locally advanced rectal cancer: Qualitative and quantitative evaluation of diffusion-weighted MR imaging in the response assessment after neoadjuvant chemo-radiotherapy.

Authors:  Pietro Valerio Foti; Giuseppe Privitera; Sebastiano Piana; Stefano Palmucci; Corrado Spatola; Roberta Bevilacqua; Luigi Raffaele; Vincenzo Salamone; Rosario Caltabiano; Gaetano Magro; Giovanni Li Destri; Pietro Milone; Giovanni Carlo Ettorre
Journal:  Eur J Radiol Open       Date:  2016-07-18

3.  Evaluation of Multislice Spiral Computed Tomography Perfusion Imaging for the Efficacy of Preoperative Concurrent Chemoradiotherapy in Middle-aged and Elderly Patients with Locally Advanced Gastric Cancer.

Authors:  Jian-Xiao Liang; Xiu-Juan Bi; Xiao-Mei Li; Zhen-Li Gao; Feng Suo; En-Gang Cui; Hong-Fu Li; Hai-Lian Lv
Journal:  Med Sci Monit       Date:  2018-01-12

Review 4.  Colorectal cancer: Parametric evaluation of morphological, functional and molecular tomographic imaging.

Authors:  Pier Paolo Mainenti; Arnaldo Stanzione; Salvatore Guarino; Valeria Romeo; Lorenzo Ugga; Federica Romano; Giovanni Storto; Simone Maurea; Arturo Brunetti
Journal:  World J Gastroenterol       Date:  2019-09-21       Impact factor: 5.742

5.  T2-weighted, apparent diffusion coefficient and 18F-FDG PET histogram analysis of rectal cancer after preoperative chemoradiotherapy.

Authors:  F Crimì; R Stramare; G Spolverato; V Aldegheri; A Barison; L D'Alimonte; Q R Bao; A Spimpolo; L Albertoni; D Cecchin; C Campi; E Quaia; S Pucciarelli; P Zucchetta
Journal:  Tech Coloproctol       Date:  2021-04-01       Impact factor: 3.781

Review 6.  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

7.  Machine learning-based multiparametric MRI radiomics for predicting poor responders after neoadjuvant chemoradiotherapy in rectal Cancer patients.

Authors:  Jia Wang; Jingjing Chen; Ruizhi Zhou; Yuanxiang Gao; Jie Li
Journal:  BMC Cancer       Date:  2022-04-19       Impact factor: 4.638

Review 8.  Advanced imaging of colorectal cancer: From anatomy to molecular imaging.

Authors:  Roberto García-Figueiras; Sandra Baleato-González; Anwar R Padhani; Ana Marhuenda; Antonio Luna; Lidia Alcalá; Ana Carballo-Castro; Ana Álvarez-Castro
Journal:  Insights Imaging       Date:  2016-04-30

9.  Down-staging depth score to predict outcomes in locally advanced rectal cancer achieving ypI stage after neoadjuvant chemo-radiotherapy versus de novo stage pI cohort: A propensity score-matched analysis.

Authors:  Ning Li; Jing Jin; Jing Yu; Shuai Li; Yuan Tang; Hua Ren; Wenyang Liu; Shulian Wang; Yueping Liu; Yongwen Song; Hui Fang; Zihao Yu; Yexiong Li
Journal:  Chin J Cancer Res       Date:  2018-06       Impact factor: 5.087

10.  Predicting Treatment Response of Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer Using Amide Proton Transfer MRI Combined With Diffusion-Weighted Imaging.

Authors:  Weicui Chen; Liting Mao; Ling Li; Qiurong Wei; Shaowei Hu; Yongsong Ye; Jieping Feng; Bo Liu; Xian Liu
Journal:  Front Oncol       Date:  2021-07-01       Impact factor: 6.244

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