Literature DB >> 30900099

The value of four imaging modalities in diagnosing lymph node involvement in rectal cancer: an overview and adjusted indirect comparison.

Ya Gao1,2, Jipin Li3, Xueni Ma3, Jiancheng Wang4, Bo Wang5, Jinhui Tian6,7, Gen Chen8,9.   

Abstract

Several systematic reviews have investigated the accuracy of imaging modalities for lymph node involvement of rectal cancer, but there are considerable differences in conclusions. This overview aimed to assess the methodological and reporting quality of systematic reviews that evaluated the diagnostic value of imaging modalities for lymph node involvement in patients with rectal cancer and to compare the diagnostic value of different modalities for lymph node involvement. The PubMed, EMBASE, Cochrane Library and Chinese Biomedicine Literature were searched to identify relevant systematic reviews. The methodological quality was assessed using the AMSTAR checklist, and the reporting quality was assessed using PRISMA-DTA checklist. The indirect comparison was conducted to compare the accuracy of different imaging modalities. Seven systematic reviews involving 353 primary studies were included. The median (Range) AMSTAR scores were 6.0 (4.0-9.0); the median (Range) PRISMA-DTA scores were 18.0 (11.0-23.0). Sensitivity of MRI [0.69 (95% CI 0.63, 0.77)] was significantly higher than that of ERUS [0.57 (95% CI 0.53, 0.62)]. Specificity of ERUS [0.80 (95% CI 0.77, 0.83)] was significantly higher than that of CT [0.72 (95% CI 0.67, 0.78)]. Positive likelihood ratio of EUS [3.04 (95% CI 2.75, 3.36)] was significantly higher than that of CT [2.21 (95% CI 1.69, 2.90)]. EUS had better diagnostic value than CT and ERUS in the diagnosis of lymph node involvement. Compared with CT and ERUS, MRI was more sensitive. EUS and MRI had comparable diagnostic accuracy, but no modality was proved to be particularly accurate.

Entities:  

Keywords:  Diagnostic accuracy; Imaging modality; Lymph node involvement; Overview; Rectal cancer

Mesh:

Year:  2019        PMID: 30900099     DOI: 10.1007/s10238-019-00552-z

Source DB:  PubMed          Journal:  Clin Exp Med        ISSN: 1591-8890            Impact factor:   3.984


  15 in total

1.  High-resolution MRI-based radiomics analysis to predict lymph node metastasis and tumor deposits respectively in rectal cancer.

Authors:  Yan-Song Yang; Feng Feng; Yong-Juan Qiu; Gui-Hua Zheng; Ya-Qiong Ge; Yue-Tao Wang
Journal:  Abdom Radiol (NY)       Date:  2020-09-17

2.  Can magnetic resonance imaging replace conventional computerized tomography for follow-up of patients with testicular cancer? A systematic review.

Authors:  Jonas Busch; Stefanie Schmidt; Peter Albers; Julia Heinzelbecker; Sabine Kliesch; Julia Lackner; David Pfister; Christian Ruf; Christian Winter; Friedemann Zengerling; Dirk Beyersdorff
Journal:  World J Urol       Date:  2022-01-17       Impact factor: 4.226

3.  A Dual-Energy CT Radiomics of the Regional Largest Short-Axis Lymph Node Can Improve the Prediction of Lymph Node Metastasis in Patients With Rectal Cancer.

Authors:  Dongqing Wang; Zijian Zhuang; Shuting Wu; Jixiang Chen; Xin Fan; Mengsi Liu; Haitao Zhu; Ming Wang; Jinmei Zou; Qun Zhou; Peng Zhou; Jing Xue; Xiangpan Meng; Shenghong Ju; Lirong Zhang
Journal:  Front Oncol       Date:  2022-06-07       Impact factor: 5.738

4.  The value of different imaging methods in the diagnosis of breast cancer: A protocol for network meta-analysis of diagnostic test accuracy.

Authors:  Mei Zhang; Rongna Lian; Ruinian Zhang; Yulong Hong; Wen Feng; Shifang Feng
Journal:  Medicine (Baltimore)       Date:  2021-05-14       Impact factor: 1.889

5.  A magnetic resonance imaging (MRI)-based nomogram for predicting lymph node metastasis in rectal cancer: a node-for-node comparative study of MRI and histopathology.

Authors:  Yuan Liu; Lijuan Wan; Wenjing Peng; Shuangmei Zou; Zhaoxu Zheng; Feng Ye; Jun Jiang; Han Ouyang; Xinming Zhao; Hongmei Zhang
Journal:  Quant Imaging Med Surg       Date:  2021-06

6.  Biomarkers for detecting malignant pleural mesothelioma: Protocol for a reanalysis of published data based on systematic reviews of diagnostic test accuracy.

Authors:  Xiangyi Zan; Yuping Wang; Junnian Shi; Lanting Zhao; Yan Zhao; Rong Liu; Yongning Zhou; Yixin Wan
Journal:  Medicine (Baltimore)       Date:  2019-06       Impact factor: 1.817

7.  An overview protocol of biomarkers for breast cancer detection.

Authors:  Zhijuan Sheng; Jing Wang; Muyang Li; Xinyue Luo; Runjin Cai; Mei Zhang
Journal:  Medicine (Baltimore)       Date:  2019-06       Impact factor: 1.817

8.  Comparison of the airway complications of subtypes of laryngeal mask airway and i-gel in child patients under general anaesthesia: a protocol for systematic review and network meta-analysis of randomised control trials.

Authors:  Jieting Liu; Xiaonan Xu; Muyang Li; Runjin Cai; Kehu Yang
Journal:  BMJ Open       Date:  2020-02-12       Impact factor: 2.692

9.  Magnetic Resonance Imaging Evaluation of the Accuracy of Various Lymph Node Staging Criteria in Rectal Cancer: A Systematic Review and Meta-Analysis.

Authors:  Zixuan Zhuang; Yang Zhang; Mingtian Wei; Xuyang Yang; Ziqiang Wang
Journal:  Front Oncol       Date:  2021-07-13       Impact factor: 6.244

10.  The association between body mass index and the risk of different urinary cancers: Protocol for an overview of systematic reviews.

Authors:  Wenli Zhao; Jiyuan Shi; Yamin Chen; Ziwei Song; Liangliang Si; Xin Jiang; Yu Gu
Journal:  Medicine (Baltimore)       Date:  2020-07-24       Impact factor: 1.817

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