Literature DB >> 31939890

The Diagnostic Accuracy of Magnetic Resonance Imaging in Restaging of Rectal Cancer After Preoperative Chemoradiotherapy: A Meta-Analysis and Systematic Review.

Ming-Zhu Wei1, Zhen-Hua Zhao, Jian-Yun Wang.   

Abstract

OBJECTIVE: To evaluate the overall diagnostic value of magnetic resonance imaging (MRI) in restaging of rectal cancer after preoperative chemoradiotherapy based on qualified studies.
METHODS: PubMed, Cochrane, and EMBASE database were searched by the index words to identify the qualified studies, and relevant literature sources were also searched. The latest research was done in April 2019. Heterogeneity of the included studies was tested, which was used to select proper effect model to calculate pooled weighted sensitivity, specificity, and diagnostic odds ratio (DOR). Summary receiver operating characteristic (SROC) analyses were also performed. RESULT: Nineteen studies with 1262 patients were involved in the meta-analysis exploring the diagnostic accuracy of MRI for rectal cancer. The diagnostic accuracy of MRI in T3-T4 rectal cancer was as follows: sensitivity, 81% (95% confidence interval [CI], 67%-90%); specificity, 67% (95% CI, 51%-80%); positive likelihood ratio, 2.48 (95% CI, 1.57-3.91); negative likelihood ratio, 0.28 (95% CI, 0.15-0.52); global DOR, 6.86 (95% CI, 3.07-15.30); the area under the SROC was high (0.81; 95% CI, 0.78-0.84). The diagnostic accuracy of MRI in lymphatic metastasis of rectal cancer was as follows: sensitivity, 77% (95% CI, 65%-86%); specificity, 77% (95% CI, 63%-87%); positive likelihood ratio, 3.40 (95% CI, 2.07-5.59); negative likelihood ratio, 0.30 (95% CI, 0.20-0.45); DOR, 10.81 (95% CI, 4.99-23.39); area under the SROC was high (0.84; 95% CI, 0.80-0.87).
CONCLUSIONS: This study provides a systematic review and meta-analysis of diagnostic accuracy studies of MRI for rectal cancer. The results indicate that MRI is a highly accurate diagnostic tool for rectal cancer T3-T4 staging and N staging but sensitivity and specificity are not high.

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Year:  2020        PMID: 31939890     DOI: 10.1097/RCT.0000000000000964

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  4 in total

Review 1.  Diagnostic performance of [18F]-FDG PET/MR in evaluating colorectal cancer: a systematic review and meta-analysis.

Authors:  Seyed Ali Mirshahvalad; Ricarda Hinzpeter; Andres Kohan; Reut Anconina; Roshini Kulanthaivelu; Claudia Ortega; Ur Metser; Patrick Veit-Haibach
Journal:  Eur J Nucl Med Mol Imaging       Date:  2022-06-16       Impact factor: 10.057

2.  Study on Ultrasonographic Diagnosis and Postoperative Comprehensive Nursing of Rectal Cancer in Preoperative Staging.

Authors:  Jie Gao; Hui Wang; Zhihui Wang
Journal:  Contrast Media Mol Imaging       Date:  2022-06-23       Impact factor: 3.009

3.  MRI accuracy and interobserver agreement in locally advanced cervix carcinoma.

Authors:  Amalia Jacquot; Céline Chauleur; Anne-Sophie Russel-Robillard; Fabien Tinquaut; Sandrine Sotton; Nicolas Magne; Guillaume Etievent
Journal:  Br J Radiol       Date:  2021-07-08       Impact factor: 3.629

Review 4.  Cancer Diagnosis through SERS and Other Related Techniques.

Authors:  Maria Blanco-Formoso; Ramon A Alvarez-Puebla
Journal:  Int J Mol Sci       Date:  2020-03-24       Impact factor: 5.923

  4 in total

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