Literature DB >> 31063142

Multiparametric MRI in rectal cancer.

Bengi Gürses1, Medine Böge1, Emre Altınmakas1, Emre Balık2.   

Abstract

MRI has a pivotal role in both pretreatment staging and posttreatment evaluation of rectal cancer. The accuracy of MRI in pretreatment staging is higher compared with posttreatment evaluation. This occurs due to similar signal intensities of tumoral and posttreatment fibrotic, necrotic, and inflamed tissue. This limitation occurs with conventional MRI of the rectum with morphologic sequences. There is a need towards increasing the accuracy of MRI, especially for posttreatment evaluation. The term multiparametric MRI implies addition of functional sequences, namely, diffusion and perfusion to the routine protocol. This review summarizes the technique, potential implications and previously published studies about multiparametric MRI of rectal cancer.

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Year:  2019        PMID: 31063142      PMCID: PMC6521905          DOI: 10.5152/dir.2019.18189

Source DB:  PubMed          Journal:  Diagn Interv Radiol        ISSN: 1305-3825            Impact factor:   2.630


  36 in total

1.  Diffusion-weighted MRI in rectal cancer: apparent diffusion coefficient as a potential noninvasive marker of tumor aggressiveness.

Authors:  Luís Curvo-Semedo; Doenja M J Lambregts; Monique Maas; Geerard L Beets; Filipe Caseiro-Alves; Regina G H Beets-Tan
Journal:  J Magn Reson Imaging       Date:  2012-01-23       Impact factor: 4.813

2.  Apparent diffusion coefficient for evaluating tumour response to neoadjuvant chemoradiation therapy for locally advanced rectal cancer.

Authors:  Seung Ho Kim; Jae Young Lee; Jeong Min Lee; Joon Koo Han; Byung Ihn Choi
Journal:  Eur Radiol       Date:  2010-10-27       Impact factor: 5.315

3.  The value of diffusion-weighted imaging in combination with T2-weighted imaging for rectal cancer detection.

Authors:  Sheng-Xiang Rao; Meng-Su Zeng; Cai-Zhong Chen; Ren-Chen Li; Shu-Jie Zhang; Jian-Ming Xu; Ying-Yong Hou
Journal:  Eur J Radiol       Date:  2007-05-10       Impact factor: 3.528

4.  Rectal cancer: assessment of complete response to preoperative combined radiation therapy with chemotherapy--conventional MR volumetry versus diffusion-weighted MR imaging.

Authors:  Luís Curvo-Semedo; Doenja M J Lambregts; Monique Maas; Thomas Thywissen; Rana T Mehsen; Guido Lammering; Geerard L Beets; Filipe Caseiro-Alves; Regina G H Beets-Tan
Journal:  Radiology       Date:  2011-06-14       Impact factor: 11.105

5.  Predicting response to neoadjuvant chemoradiation therapy in locally advanced rectal cancer: diffusion-weighted 3 Tesla MR imaging.

Authors:  Se Hee Jung; Suk Hee Heo; Jin Woong Kim; Yong Yeon Jeong; Sang Soo Shin; Min-Gyu Soung; Heong Rok Kim; Heoung Keun Kang
Journal:  J Magn Reson Imaging       Date:  2011-10-11       Impact factor: 4.813

6.  Diffusion-weighted magnetic resonance imaging for detecting lymph node metastasis of rectal cancer.

Authors:  Yo Mizukami; Shugo Ueda; Akiyoshi Mizumoto; Tetsuro Sasada; Ryosuke Okumura; Shigene Kohno; Arimichi Takabayashi
Journal:  World J Surg       Date:  2011-04       Impact factor: 3.352

7.  Long-term outcome in patients with a pathological complete response after chemoradiation for rectal cancer: a pooled analysis of individual patient data.

Authors:  Monique Maas; Patty J Nelemans; Vincenzo Valentini; Prajnan Das; Claus Rödel; Li-Jen Kuo; Felipe A Calvo; Julio García-Aguilar; Rob Glynne-Jones; Karin Haustermans; Mohammed Mohiuddin; Salvatore Pucciarelli; William Small; Javier Suárez; George Theodoropoulos; Sebastiano Biondo; Regina G H Beets-Tan; Geerard L Beets
Journal:  Lancet Oncol       Date:  2010-08-06       Impact factor: 41.316

8.  Diffusion-weighted imaging findings of mucinous carcinoma arising in the ano-rectal region: comparison of apparent diffusion coefficient with that of tubular adenocarcinoma.

Authors:  Katsuhiro Nasu; Yoshifumi Kuroki; Manabu Minami
Journal:  Jpn J Radiol       Date:  2011-12-16       Impact factor: 2.374

9.  Value of diffusion-weighted magnetic resonance imaging for prediction and early assessment of response to neoadjuvant radiochemotherapy in rectal cancer: preliminary results.

Authors:  Maarten Lambrecht; Vincent Vandecaveye; Frederik De Keyzer; Sarah Roels; Freddy Penninckx; Eric Van Cutsem; Claus Filip; Karin Haustermans
Journal:  Int J Radiat Oncol Biol Phys       Date:  2011-03-11       Impact factor: 7.038

10.  Free-breathing diffusion-weighted single-shot echo-planar MR imaging using parallel imaging (GRAPPA 2) and high b value for the detection of primary rectal adenocarcinoma.

Authors:  Philippe Soyer; Matthieu Lagadec; Marc Sirol; Xavier Dray; Florent Duchat; Alexandre Vignaud; Yann Fargeaudou; Vinciane Placé; Valérie Gault; Lounis Hamzi; Marc Pocard; Mourad Boudiaf
Journal:  Cancer Imaging       Date:  2010-02-11       Impact factor: 3.909

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  11 in total

1.  Multiparametric MRI of rectal cancer-repeatability of quantitative data: a feasibility study.

Authors:  Bengi Gürses; Emre Altınmakas; Medine Böge; M Serhat Aygün; Onur Bayram; Emre Balık
Journal:  Diagn Interv Radiol       Date:  2020-03       Impact factor: 2.630

2.  Preoperative Prediction of Perineural Invasion Status of Rectal Cancer Based on Radiomics Nomogram of Multiparametric Magnetic Resonance Imaging.

Authors:  Yang Zhang; Jiaxuan Peng; Jing Liu; Yanqing Ma; Zhenyu Shu
Journal:  Front Oncol       Date:  2022-04-11       Impact factor: 5.738

3.  Application Value of MRI Combined with MSCT in Diagnosis and Staging of Colon Carcinoma.

Authors:  Zhiwei Zhao; Yong Zhou; Meng Jiang; Ling Dang
Journal:  Comput Math Methods Med       Date:  2022-05-23       Impact factor: 2.809

Review 4.  Endoscopic and MRI response evaluation following neoadjuvant treatment for rectal cancer: a pictorial review with matched MRI, endoscopic, and pathologic examples.

Authors:  Seth I Felder; Sebastian Feuerlein; Arthur Parsee; Iman Imanirad; Julian Sanchez; Sophie Dessureault; Richard Kim; Sarah Hoffe; Jessica Frakes; James Costello
Journal:  Abdom Radiol (NY)       Date:  2020-10-28

5.  Preoperative prediction of extramural venous invasion in rectal cancer by dynamic contrast-enhanced and diffusion weighted MRI: a preliminary study.

Authors:  Weiqun Ao; Xian Zhang; Xiuzhen Yao; Xiandi Zhu; Shuitang Deng; Jianju Feng
Journal:  BMC Med Imaging       Date:  2022-04-28       Impact factor: 2.795

6.  Low-Rank Matrix Denoising Algorithm-Based MRI Image Feature for Therapeutic Effect Evaluation of NCRT on Rectal Cancer.

Authors:  Qin Hu; Jin Li; Jun Li
Journal:  J Healthc Eng       Date:  2021-11-29       Impact factor: 2.682

7.  Co-Clinical Imaging Resource Program (CIRP): Bridging the Translational Divide to Advance Precision Medicine.

Authors:  Kooresh I Shoghi; Cristian T Badea; Stephanie J Blocker; Thomas L Chenevert; Richard Laforest; Michael T Lewis; Gary D Luker; H Charles Manning; Daniel S Marcus; Yvonne M Mowery; Stephen Pickup; Ann Richmond; Brian D Ross; Anna E Vilgelm; Thomas E Yankeelov; Rong Zhou
Journal:  Tomography       Date:  2020-09

8.  Development and validation of a radiomics model based on T2WI images for preoperative prediction of microsatellite instability status in rectal cancer: Study Protocol Clinical Trial (SPIRIT Compliant).

Authors:  Zixing Huang; Wei Zhang; Du He; Xing Cui; Song Tian; Hongkun Yin; Bin Song
Journal:  Medicine (Baltimore)       Date:  2020-03       Impact factor: 1.817

9.  T stage prediction of colorectal tumor based on multiparametric functional images.

Authors:  Yafang Dou; Xuefeng Tang; Yingying Liu; Zhigang Gong
Journal:  Transl Cancer Res       Date:  2020-02       Impact factor: 1.241

10.  The Clinical Value of the Combined Detection of Enhanced CT, MRI, CEA, and CA199 in the Diagnosis of Rectal Cancer.

Authors:  Cuijuan Hao; Yanbin Sui; Jian Li; Yunxia Shi; Zhenxing Zou
Journal:  J Oncol       Date:  2021-07-13       Impact factor: 4.375

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