Literature DB >> 31063424

The Diagnostic Performance of MRI for Detection of Extramural Venous Invasion in Colorectal Cancer: A Systematic Review and Meta-Analysis of the Literature.

Tae-Hyung Kim1,2, Sungmin Woo1, Sangwon Han3, Chong Hyun Suh4, Hebert Alberto Vargas5.   

Abstract

OBJECTIVE. The purpose of this article is to perform a systematic review and meta-analysis regarding the diagnostic test accuracy of MRI for detecting extramural venous invasion (EMVI) in patients with colorectal cancer. MATERIALS AND METHODS. PubMed and EMBASE were searched up to November 9, 2018. We included diagnostic accuracy studies that used MRI for EMVI detection in patients with colorectal cancer, using pathologic analysis as the reference standard. The methodologic quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 tool. Sensitivity and specificity were pooled and plotted in a hierarchic summary ROC plot. Metaregression analysis using several clinically relevant covariates was performed. RESULTS. Fourteen studies (n = 1751 patients) were included. Study quality was moderate in general. Pooled sensitivity was 0.61 (95% CI, 0.49-0.71), and pooled specificity was 0.87 (95% CI, 0.79-0.92). There was substantial heterogeneity according to the Cochran Q test (p < 0.01) and Higgins I2 heterogeneity index (98% and 95% for sensitivity and specificity, respectively). Publication bias was present (p = 0.01). Higher rates of advanced T category, use of high-resolution MRI, and use of antispasmodic drugs were shown to significantly affect heterogeneity (p < 0.01). Location of primary tumor, preoperative treatment status, study design, definition of reference standard, magnetic field strength, and use of functional MRI were not statistically significant (p = 0.17-0.92). CONCLUSION. MRI shows moderate sensitivity and good specificity for the detection of EMVI in colorectal cancer. The use of high-resolution MRI may improve diagnostic performance.

Entities:  

Keywords:  MRI; colorectal cancer; extramural venous invasion; meta-analysis; systematic review

Mesh:

Year:  2019        PMID: 31063424      PMCID: PMC7485615          DOI: 10.2214/AJR.19.21112

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  45 in total

1.  The performance of tests of publication bias and other sample size effects in systematic reviews of diagnostic test accuracy was assessed.

Authors:  Jonathan J Deeks; Petra Macaskill; Les Irwig
Journal:  J Clin Epidemiol       Date:  2005-09       Impact factor: 6.437

2.  Assessing the dependence of sensitivity and specificity on prevalence in meta-analysis.

Authors:  Jialiang Li; Jason P Fine
Journal:  Biostatistics       Date:  2011-04-27       Impact factor: 5.899

3.  Correlation of MRI-detected extramural vascular invasion with regional lymph node metastasis in rectal cancer.

Authors:  Liheng Liu; Ming Liu; Zhenghan Yang; Wen He; Zhenchang Wang; Erhu Jin
Journal:  Clin Imaging       Date:  2016-01-22       Impact factor: 1.605

4.  Modified FOLFOX6 With or Without Radiation Versus Fluorouracil and Leucovorin With Radiation in Neoadjuvant Treatment of Locally Advanced Rectal Cancer: Initial Results of the Chinese FOWARC Multicenter, Open-Label, Randomized Three-Arm Phase III Trial.

Authors:  Yanhong Deng; Pan Chi; Ping Lan; Lei Wang; Weiqing Chen; Long Cui; Daoda Chen; Jie Cao; Hongbo Wei; Xiang Peng; Zonghai Huang; Guanfu Cai; Ren Zhao; Zhongcheng Huang; Lin Xu; Hongfeng Zhou; Yisheng Wei; Hao Zhang; Jian Zheng; Yan Huang; Zhiyang Zhou; Yue Cai; Liang Kang; Meijin Huang; Junsheng Peng; Donglin Ren; Jianping Wang
Journal:  J Clin Oncol       Date:  2016-08-01       Impact factor: 44.544

5.  Preferred Reporting Items for a Systematic Review and Meta-analysis of Diagnostic Test Accuracy Studies: The PRISMA-DTA Statement.

Authors:  Matthew D F McInnes; David Moher; Brett D Thombs; Trevor A McGrath; Patrick M Bossuyt; Tammy Clifford; Jérémie F Cohen; Jonathan J Deeks; Constantine Gatsonis; Lotty Hooft; Harriet A Hunt; Christopher J Hyde; Daniël A Korevaar; Mariska M G Leeflang; Petra Macaskill; Johannes B Reitsma; Rachel Rodin; Anne W S Rutjes; Jean-Paul Salameh; Adrienne Stevens; Yemisi Takwoingi; Marcello Tonelli; Laura Weeks; Penny Whiting; Brian H Willis
Journal:  JAMA       Date:  2018-01-23       Impact factor: 56.272

6.  Comparison of magnetic resonance imaging and histopathological response to chemoradiotherapy in locally advanced rectal cancer.

Authors:  Uday Bharat Patel; Gina Brown; Harm Rutten; Nicholas West; David Sebag-Montefiore; Robert Glynne-Jones; Eric Rullier; Marc Peeters; Eric Van Cutsem; Sergio Ricci; Cornelius Van de Velde; Pennert Kjell; Philip Quirke
Journal:  Ann Surg Oncol       Date:  2012-04-24       Impact factor: 5.344

7.  Preoperative assessment of prognostic factors in rectal cancer using high-resolution magnetic resonance imaging.

Authors:  G Brown; A G Radcliffe; R G Newcombe; N S Dallimore; M W Bourne; G T Williams
Journal:  Br J Surg       Date:  2003-03       Impact factor: 6.939

8.  The clinical utility of the combination of T stage and venous invasion to predict survival in patients undergoing surgery for colorectal cancer.

Authors:  Campbell S D Roxburgh; Donald C McMillan; Colin H Richards; Manal Atwan; John H Anderson; Tim Harvey; Paul G Horgan; Alan K Foulis
Journal:  Ann Surg       Date:  2014-06       Impact factor: 12.969

9.  The prognostic significance of postchemoradiotherapy high-resolution MRI and histopathology detected extramural venous invasion in rectal cancer.

Authors:  Manish Chand; Jessica Evans; Robert I Swift; Paris P Tekkis; Nicholas P West; Gordon Stamp; Richard J Heald; Gina Brown
Journal:  Ann Surg       Date:  2015-03       Impact factor: 12.969

10.  Evaluation of gadolinium-enhanced T1-weighted magnetic resonance imaging in the preoperative assessment of local staging in rectal cancer.

Authors:  S-Y Jao; B-Y Yang; H-H Weng; C-H Yeh; L-W Lee
Journal:  Colorectal Dis       Date:  2010-11       Impact factor: 3.788

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  7 in total

Review 1.  MRI for Rectal Cancer: Staging, mrCRM, EMVI, Lymph Node Staging and Post-Treatment Response.

Authors:  David D B Bates; Maria El Homsi; Kevin J Chang; Neeraj Lalwani; Natally Horvat; Shannon P Sheedy
Journal:  Clin Colorectal Cancer       Date:  2021-11-14       Impact factor: 4.481

2.  Diagnostic Performance of Vesical Imaging Reporting and Data System for the Prediction of Muscle-invasive Bladder Cancer: A Systematic Review and Meta-analysis.

Authors:  Sungmin Woo; Valeria Panebianco; Yoshifumi Narumi; Francesco Del Giudice; Valdair F Muglia; Mitsuru Takeuchi; Soleen Ghafoor; Bernard H Bochner; Alvin C Goh; Hedvig Hricak; James W F Catto; Hebert Alberto Vargas
Journal:  Eur Urol Oncol       Date:  2020-03-19

3.  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

4.  Preoperative Prediction of Extramural Venous Invasion in Rectal Cancer: Comparison of the Diagnostic Efficacy of Radiomics Models and Quantitative Dynamic Contrast-Enhanced Magnetic Resonance Imaging.

Authors:  Xiangling Yu; Wenlong Song; Dajing Guo; Huan Liu; Haiping Zhang; Xiaojing He; Junjie Song; Jun Zhou; Xinjie Liu
Journal:  Front Oncol       Date:  2020-04-09       Impact factor: 6.244

5.  Machine Learning-Based Radiomics Nomogram for Detecting Extramural Venous Invasion in Rectal Cancer.

Authors:  Siye Liu; Xiaoping Yu; Songhua Yang; Pingsheng Hu; Yingbin Hu; Xiaoyan Chen; Yilin Li; Zhe Zhang; Cheng Li; Qiang Lu
Journal:  Front Oncol       Date:  2021-03-26       Impact factor: 6.244

Review 6.  Magnetic Fields and Cancer: Epidemiology, Cellular Biology, and Theranostics.

Authors:  Massimo E Maffei
Journal:  Int J Mol Sci       Date:  2022-01-25       Impact factor: 5.923

Review 7.  MRI-detected extramural venous invasion of rectal cancer: Multimodality performance and implications at baseline imaging and after neoadjuvant therapy.

Authors:  Akitoshi Inoue; Shannon P Sheedy; Jay P Heiken; Payam Mohammadinejad; Rondell P Graham; Hee Eun Lee; Scott R Kelley; Stephanie L Hansel; David H Bruining; Jeff L Fidler; Joel G Fletcher
Journal:  Insights Imaging       Date:  2021-08-09
  7 in total

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