Literature DB >> 25260490

Pretreatment evaluation of microcirculation by dynamic contrast-enhanced magnetic resonance imaging predicts survival in primary rectal cancer patients.

Alexander Friedrich DeVries1, Gudrun Piringer2, Christian Kremser3, Werner Judmaier3, Christoph Hubert Saely4, Peter Lukas5, Dietmar Öfner6.   

Abstract

PURPOSE: To investigate the prognostic value of the perfusion index (PI), a microcirculatory parameter estimated from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI), which integrates information on both flow and permeability, to predict overall survival and disease-free survival in patients with primary rectal cancer. METHODS AND MATERIALS: A total of 83 patients with stage cT3 rectal cancer requiring neoadjuvant chemoradiation were investigated with DCE-MRI before start of therapy. Contrast-enhanced dynamic T1 mapping was obtained, and a simple data analysis strategy based on the calculation of the maximum slope of the tissue concentration-time curve divided by the maximum of the arterial input function was used as a measure of tumor microcirculation (PI), which integrates information on both flow and permeability.
RESULTS: In 39 patients (47.0%), T downstaging (ypT0-2) was observed. During a mean (±SD) follow-up period of 71 ± 29 months, 58 patients (69.9%) survived, and disease-free survival was achieved in 45 patients (54.2%). The mean PI (PImean) averaged over the group of nonresponders was significantly higher than for responders. Additionally, higher PImean in age- and gender-adjusted analyses was strongly predictive of therapy nonresponse. Most importantly, PImean strongly and significantly predicted disease-free survival (unadjusted hazard ratio [HR], 1.85 [ 95% confidence interval, 1.35-2.54; P<.001)]; HR adjusted for age and sex, 1.81 [1.30-2.51]; P<.001) as well as overall survival (unadjusted HR 1.42 [1.02-1.99], P=.040; HR adjusted for age and sex, 1.43 [1.03-1.98]; P=.034).
CONCLUSIONS: This analysis identifies PImean as a novel biomarker that is predictive for therapy response, disease-free survival, and overall survival in patients with primary locally advanced rectal cancer.
Copyright © 2014 Elsevier Inc. All rights reserved.

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Year:  2014        PMID: 25260490     DOI: 10.1016/j.ijrobp.2014.07.042

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  6 in total

Review 1.  Functional MRI for quantitative treatment response prediction in locally advanced rectal cancer.

Authors:  Trang T Pham; Gary P Liney; Karen Wong; Michael B Barton
Journal:  Br J Radiol       Date:  2017-03-07       Impact factor: 3.039

2.  Machine learning for prediction of chemoradiation therapy response in rectal cancer using pre-treatment and mid-radiation multi-parametric MRI.

Authors:  Liming Shi; Yang Zhang; Ke Nie; Xiaonan Sun; Tianye Niu; Ning Yue; Tiffany Kwong; Peter Chang; Daniel Chow; Jeon-Hor Chen; Min-Ying Su
Journal:  Magn Reson Imaging       Date:  2019-05-03       Impact factor: 2.546

3.  Image-derived arterial input function for quantitative fluorescence imaging of receptor-drug binding in vivo.

Authors:  Jonathan T Elliott; Kimberley S Samkoe; Scott C Davis; Jason R Gunn; Keith D Paulsen; David W Roberts; Brian W Pogue
Journal:  J Biophotonics       Date:  2015-09-09       Impact factor: 3.207

4.  MITHRA - multiparametric MR/CT image adapted brachytherapy (MR/CT-IABT) in anal canal cancer: a feasibility study.

Authors:  Luca Tagliaferri; Stefania Manfrida; Brunella Barbaro; Maria Maddalena Colangione; Valeria Masiello; Gian Carlo Mattiucci; Elisa Placidi; Rosa Autorino; Maria Antonietta Gambacorta; Silvia Chiesa; Giovanna Mantini; György Kovács; Vincenzo Valentini
Journal:  J Contemp Brachytherapy       Date:  2015-10-19

5.  CT texture analysis in patients with locally advanced rectal cancer treated with neoadjuvant chemoradiotherapy: A potential imaging biomarker for treatment response and prognosis.

Authors:  Choong Guen Chee; Young Hoon Kim; Kyoung Ho Lee; Yoon Jin Lee; Ji Hoon Park; Hye Seung Lee; Soyeon Ahn; Bohyoung Kim
Journal:  PLoS One       Date:  2017-08-10       Impact factor: 3.240

6.  Role of dynamic perfusion magnetic resonance imaging in patients with local advanced rectal cancer.

Authors:  Davide Ippolito; Silvia Girolama Drago; Anna Pecorelli; Cesare Maino; Giulia Querques; Ilaria Mariani; Cammillo Talei Franzesi; Sandro Sironi
Journal:  World J Gastroenterol       Date:  2020-05-28       Impact factor: 5.742

  6 in total

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