Literature DB >> 29558294

MR Imaging with Apparent Diffusion Coefficient Histogram Analysis: Evaluation of Locally Advanced Rectal Cancer after Chemotherapy and Radiation Therapy.

Nandin-Erdene Enkhbaatar1, Shigeaki Inoue1, Hiroshi Yamamuro1, Shuichi Kawada1, Masashi Miyaoka1, Naoya Nakamura1, Sotaro Sadahiro1, Yutaka Imai1.   

Abstract

Purpose To determine response to neoadjuvant chemotherapy and radiation therapy in patients with locally advanced rectal cancer (LARC) by using magnetic resonance (MR) apparent diffusion coefficient (ADC) histogram analysis. Materials and Methods Ninety-two patients with LARC underwent MR imaging with rectal barium before and after chemotherapy and radiation therapy (CRT). Rectal expansion with barium expanded the lumen, provided similar imaging geometry before and after CRT, and eliminated fecal matter, air, and residual fluid. T2-weighted images, the percentage change in ADC, and ADC histogram skewness and kurtosis were assessed. The histopathologic tumor regression grade (TRG) ranged from 1a (66%-99% residual tumor cells) to 3 (no residual cells). The Wilcoxon signed-rank test, the Spearman correlation test, multivariable linear regression, and one-way analysis of variance were used to determine post- and pretreatment differences and correlations between tumor size and ADC. Results Of the 92 patients, 16 (17.4%) had TRG 3, 27 (29.3%) had TRG 2b, 24 (26.1%) had TRG 2a, 14 (15.2%) had TRG 1b, and 11 (12%) had TRG 1a. Post-CRT skewness (regression coefficient = 10.9, P = .06) and percentage ADC change (regression coefficient = -0.18, P = .03) were associated with the percentage of residual tumor. Post-CRT skewness and percentage ADC change, respectively, showed negative and positive correlation with histopathologic TRG (post-CRT skewness: P = .024; percentage ADC change: P = .001). Conclusion In patients with LARC, post-CRT skewness of the ADC histogram and percentage change in ADC were useful for predicting a favorable response to neoadjuvant CRT. © RSNA, 2018 Online supplemental material is available for this article.

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Year:  2018        PMID: 29558294     DOI: 10.1148/radiol.2018171804

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  11 in total

Review 1.  Emerging role of MRI in radiation therapy.

Authors:  Hersh Chandarana; Hesheng Wang; R H N Tijssen; Indra J Das
Journal:  J Magn Reson Imaging       Date:  2018-09-08       Impact factor: 4.813

2.  Manual and semi-automated delineation of locally advanced rectal cancer subvolumes with diffusion-weighted MRI.

Authors:  Nathan Hearn; William Bugg; Anthony Chan; Dinesh Vignarajah; Katelyn Cahill; Daisy Atwell; Jim Lagopoulos; Myo Min
Journal:  Br J Radiol       Date:  2020-09-02       Impact factor: 3.039

3.  Whole lesion histogram analysis of apparent diffusion coefficient predicts therapy response in locally advanced rectal cancer.

Authors:  Mayra Evelia Jiménez de Los Santos; Juan Armando Reyes-Pérez; Victor Domínguez Osorio; Yolanda Villaseñor-Navarro; Liliana Moreno-Astudillo; Itzel Vela-Sarmiento; Isabel Sollozo-Dupont
Journal:  World J Gastroenterol       Date:  2022-06-21       Impact factor: 5.374

4.  Muscle-invasive bladder cancer: pretreatment prediction of response to neoadjuvant chemotherapy with diffusion-weighted MR imaging.

Authors:  Xinxin Zhang; Yichen Wang; Jin Zhang; Xiaojuan Xu; Lianyu Zhang; Miaomiao Zhang; Lizhi Xie; Jianzhong Shou; Yan Chen
Journal:  Abdom Radiol (NY)       Date:  2022-03-20

5.  Pretreatment Apparent Diffusion Coefficient Cannot Predict Histopathological Features and Response to Neoadjuvant Radiochemotherapy in Rectal Cancer: A Meta-Analysis.

Authors:  Alexey Surov; Maciej Pech; Maciej Powerski; Katja Woidacki; Andreas Wienke
Journal:  Dig Dis       Date:  2021-03-04       Impact factor: 2.404

6.  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

7.  Delta Radiomics Can Predict Distant Metastasis in Locally Advanced Rectal Cancer: The Challenge to Personalize the Cure.

Authors:  Giuditta Chiloiro; Pablo Rodriguez-Carnero; Jacopo Lenkowicz; Calogero Casà; Carlotta Masciocchi; Luca Boldrini; Davide Cusumano; Nicola Dinapoli; Elisa Meldolesi; Davide Carano; Andrea Damiani; Brunella Barbaro; Riccardo Manfredi; Vincenzo Valentini; Maria Antonietta Gambacorta
Journal:  Front Oncol       Date:  2020-12-03       Impact factor: 6.244

Review 8.  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

9.  Performance of Multiparametric Functional Imaging and Texture Analysis in Predicting Synchronous Metastatic Disease in Pancreatic Ductal Adenocarcinoma Patients by Hybrid PET/MR: Initial Experience.

Authors:  Jing Gao; Xinyun Huang; Hongping Meng; Miao Zhang; Xiaozhe Zhang; Xiaozhu Lin; Biao Li
Journal:  Front Oncol       Date:  2020-02-25       Impact factor: 6.244

10.  Prediction of Poor Responders to Neoadjuvant Chemotherapy in Patients with Osteosarcoma: Additive Value of Diffusion-Weighted MRI including Volumetric Analysis to Standard MRI at 3T.

Authors:  Seul Ki Lee; Won-Hee Jee; Chan Kwon Jung; Soo Ah Im; Nack-Gyun Chung; Yang-Guk Chung
Journal:  PLoS One       Date:  2020-03-10       Impact factor: 3.240

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