Literature DB >> 26770325

Meta-analysis of diffusion-weighted magnetic resonance imaging in identification of colorectal cancer.

Hongyuan Jia1, Xuelei Ma2, Yang Zhao1, Jingyi Zhao1, Rongjun Liu1, Zihang Chen1, Jinna Chen1, Jingwen Huang1, Yanyan Li1, Jing Zhang1, Feng Wang2.   

Abstract

PURPOSE: This meta-analysis aimed to evaluate the performance of diffusion-weighted magnetic resonance imaging (DWI) in identification of colorectal cancer.
METHODS: A systematic literature search was performed for studies that evaluated the diagnostic accuracy of DWI in identification of colorectal cancer. Methodological quality was assessed by Quality Assessment for Studies of Diagnostic Accuracy 2 (QUADAS 2) tool. After extracting data, we estimated the pooled sensitivity, specificity, likelihood ratios, and constructed summary receiver operating characteristics (SROC) curve.
RESULTS: Ten studies involving 367 malignant lesions and 178 benign lesions were considered eligible after full-text review. The pooled sensitivity and specificity were 0.95 (95% CI: 0.90-0.97) and 0.93 (95% CI: 0.85-0.97), respectively. Positive likelihood ratio and negative likelihood ratio were 12.8 (95% CI: 5.99-27.4) and 0.06 (95% CI: 0.03-0.11), respectively. The area under SROC curve was 0.98.
CONCLUSIONS: Our meta-analysis indicates that DWI is a highly accurate diagnostic method in identification of colorectal cancer.

Entities:  

Keywords:  MRI; colorectal cancer; diffusion magnetic resonance imaging; meta-analysis

Year:  2015        PMID: 26770325      PMCID: PMC4694225     

Source DB:  PubMed          Journal:  Int J Clin Exp Med        ISSN: 1940-5901


  40 in total

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2.  High-B-value diffusion-weighted MRI in colorectal cancer.

Authors:  Tomoaki Ichikawa; Sukru Mehmet Erturk; Utarou Motosugi; Hironobu Sou; Hiroshi Iino; Tsutomu Araki; Hideki Fujii
Journal:  AJR Am J Roentgenol       Date:  2006-07       Impact factor: 3.959

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Journal:  J Crohns Colitis       Date:  2013-04-11       Impact factor: 9.071

5.  Combining independent studies of a diagnostic test into a summary ROC curve: data-analytic approaches and some additional considerations.

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Journal:  Stat Med       Date:  1993-07-30       Impact factor: 2.373

6.  Rectal cancer: MR imaging in local staging--is gadolinium-based contrast material helpful?

Authors:  Roy F A Vliegen; Geerard L Beets; Maarten F von Meyenfeldt; Alfons G H Kessels; Etienne E M T Lemaire; Jos M A van Engelshoven; Regina G H Beets-Tan
Journal:  Radiology       Date:  2004-11-18       Impact factor: 11.105

Review 7.  Colonoscopy, pain and fears: Is it an indissoluble trinomial?

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Journal:  World J Gastrointest Endosc       Date:  2014-06-16

8.  Diffusion-weighted imaging of the rectosigmoid colon: preliminary findings.

Authors:  Ozgur Kilickesmez; Serhan Atilla; Aliye Soylu; Neslihan Tasdelen; Sibel Bayramoglu; Tan Cimilli; Nevzat Gurmen
Journal:  J Comput Assist Tomogr       Date:  2009 Nov-Dec       Impact factor: 1.826

9.  QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies.

Authors:  Penny F Whiting; Anne W S Rutjes; Marie E Westwood; Susan Mallett; Jonathan J Deeks; Johannes B Reitsma; Mariska M G Leeflang; Jonathan A C Sterne; Patrick M M Bossuyt
Journal:  Ann Intern Med       Date:  2011-10-18       Impact factor: 25.391

10.  Diffusion-weighted MRI in head and neck radiology: applications in oncology.

Authors:  Harriet C Thoeny
Journal:  Cancer Imaging       Date:  2011-02-03       Impact factor: 3.909

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  5 in total

Review 1.  Diffusion-weighted imaging in rectal cancer: current applications and future perspectives.

Authors:  Niels W Schurink; Doenja M J Lambregts; Regina G H Beets-Tan
Journal:  Br J Radiol       Date:  2019-03-05       Impact factor: 3.039

2.  Diagnostic Performance of Diffusion-Weighted Imaging for Colorectal Cancer Detection: An Updated Systematic Review and Meta-Analysis.

Authors:  Yunfei Xiao; Juan Li; Jiamei Zhong; Dequan Chen; Jianbo Shi; Hongrui Jin
Journal:  Front Oncol       Date:  2022-06-23       Impact factor: 5.738

3.  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

4.  Correlations between intravoxel incoherent motion (IVIM) parameters and histological findings in rectal cancer: preliminary results.

Authors:  Alexey Surov; Hans Jonas Meyer; Anne-Kathrin Höhn; Curd Behrmann; Andreas Wienke; Rolf Peter Spielmann; Nikita Garnov
Journal:  Oncotarget       Date:  2017-03-28

Review 5.  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 in total

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