Literature DB >> 27384098

Diagnostic Accuracy of MRI for Assessment of T Category and Circumferential Resection Margin Involvement in Patients With Rectal Cancer: A Meta-Analysis.

Ge Zhang1, Yu-Zhe Cai, Guo-Hui Xu.   

Abstract

BACKGROUND: The prognosis of rectal cancer is directly related to the stage of the tumor at diagnosis. Accurate preoperative staging is essential for selecting patients to receive optimal treatment.
OBJECTIVE: The purpose of this study was to evaluate the diagnostic performance of MRI in tumor staging and circumferential resection margin involvement in rectal cancer. DATA SOURCES: A systematic literature search was performed in MEDLINE, EMBASE, PubMed, Cochrane Database of Systematic Reviews, and Web of Science database. STUDY SELECTION: Original articles from 2000 to 2016 on the diagnostic performance of MRI in the staging of rectal cancer and/or assessment of mesorectal fascia status were eligible. MAIN OUTCOME MEASURES: Pooled diagnostic statistics including sensitivity, specificity, positive likelihood ratio, and negative likelihood ratio were calculated for invasion of muscularis propria, perirectal tissue, and adjacent organs and for circumferential resection margin involvement through bivariate random-effects modeling. Summary receiver operating characteristic curves were fitted, and areas under summary receiver operating characteristic curves were counted to evaluate the diagnostic performance of MRI for each outcome.
RESULTS: Thirty-five studies were eligible for this meta-analysis. Preoperative MRI revealed the highest sensitivity of 0.97 (95% CI, 0.96-0.98) and specificity of 0.97 (95% CI, 0.96-0.98) for muscularis propria invasion and adjacent organ invasion. Areas under summary receiver operating characteristic curves indicated good diagnostic accuracy for each outcome, with the highest of 0.9515 for the assessment of adjacent organ invasion. Significant heterogeneity existed among studies. There was no notable publication bias for each outcome. LIMITATIONS: This meta-analysis revealed relatively high diagnostic accuracy for preoperative MRI, although significant heterogeneity existed. Therefore, exploration should be focused on standardized interpretation criteria and optimal MRI protocols for future studies.
CONCLUSIONS: MRI showed relatively high diagnostic accuracy for preoperative T staging and circumferential resection margin assessment and should be reliable for clinical decision making.

Entities:  

Mesh:

Year:  2016        PMID: 27384098     DOI: 10.1097/DCR.0000000000000611

Source DB:  PubMed          Journal:  Dis Colon Rectum        ISSN: 0012-3706            Impact factor:   4.585


  20 in total

Review 1.  [R1 resection in rectal cancer].

Authors:  H-R Raab
Journal:  Chirurg       Date:  2017-09       Impact factor: 0.955

2.  Rectal cancer confined to the bowel wall: the role of 3 Tesla phased-array MR imaging in T categorization.

Authors:  Hale Çolakoğlu Er; Elif Peker; Ayşe Erden; İlhan Erden; Ethem Geçim; Berna Savaş
Journal:  Br J Radiol       Date:  2017-11-21       Impact factor: 3.039

Review 3.  The Role of Transanal Endoscopic Surgery for Early Rectal Cancer.

Authors:  Natalie F Berger; Patricia Sylla
Journal:  Clin Colon Rectal Surg       Date:  2022-02-28

4.  Artificial intelligence-based technology for semi-automated segmentation of rectal cancer using high-resolution MRI.

Authors:  Atsushi Hamabe; Masayuki Ishii; Rena Kamoda; Saeko Sasuga; Koichi Okuya; Kenji Okita; Emi Akizuki; Yu Sato; Ryo Miura; Koichi Onodera; Masamitsu Hatakenaka; Ichiro Takemasa
Journal:  PLoS One       Date:  2022-06-17       Impact factor: 3.752

Review 5.  Current Status of the Management of Stage I Rectal Cancer.

Authors:  Craig Howard Olson
Journal:  Curr Oncol Rep       Date:  2020-04-02       Impact factor: 5.075

Review 6.  Multidisciplinary management of elderly patients with rectal cancer: recommendations from the SICG (Italian Society of Geriatric Surgery), SIFIPAC (Italian Society of Surgical Pathophysiology), SICE (Italian Society of Endoscopic Surgery and new technologies), and the WSES (World Society of Emergency Surgery) International Consensus Project.

Authors:  Mauro Podda; Patricia Sylla; Gianluca Baiocchi; Michel Adamina; Vanni Agnoletti; Ferdinando Agresta; Luca Ansaloni; Alberto Arezzo; Nicola Avenia; Walter Biffl; Antonio Biondi; Simona Bui; Fabio C Campanile; Paolo Carcoforo; Claudia Commisso; Antonio Crucitti; Nicola De'Angelis; Gian Luigi De'Angelis; Massimo De Filippo; Belinda De Simone; Salomone Di Saverio; Giorgio Ercolani; Gustavo P Fraga; Francesco Gabrielli; Federica Gaiani; Mario Guerrieri; Angelo Guttadauro; Yoram Kluger; Ari K Leppaniemi; Andrea Loffredo; Tiziana Meschi; Ernest E Moore; Monica Ortenzi; Francesco Pata; Dario Parini; Adolfo Pisanu; Gilberto Poggioli; Andrea Polistena; Alessandro Puzziello; Fabio Rondelli; Massimo Sartelli; Neil Smart; Michael E Sugrue; Patricia Tejedor; Marco Vacante; Federico Coccolini; Justin Davies; Fausto Catena
Journal:  World J Emerg Surg       Date:  2021-07-02       Impact factor: 5.469

7.  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

8.  Intravoxel Incoherent Motion Diffusion-Weighted Imaging of Primary Rectal Carcinoma: Correlation with Histopathology.

Authors:  Baolan Lu; Xinyue Yang; Xiaojuan Xiao; Yan Chen; Xu Yan; Shenping Yu
Journal:  Med Sci Monit       Date:  2018-04-21

Review 9.  Diagnostic accuracy of endoscopic ultrasound, computed tomography, magnetic resonance imaging, and endorectal ultrasonography for detecting lymph node involvement in patients with rectal cancer: A protocol for an overview of systematic reviews.

Authors:  Xin Wang; Ya Gao; Jipin Li; Jiarui Wu; Bo Wang; Xueni Ma; Jinhui Tian; Minghui Shen; Jiancheng Wang
Journal:  Medicine (Baltimore)       Date:  2018-10       Impact factor: 1.817

10.  Assessment of MRI-Based Radiomics in Preoperative T Staging of Rectal Cancer: Comparison between Minimum and Maximum Delineation Methods.

Authors:  Haidi Lu; Yuan Yuan; Zhen Zhou; Xiaolu Ma; Fu Shen; Yuwei Xia; Jianping Lu
Journal:  Biomed Res Int       Date:  2021-07-10       Impact factor: 3.411

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