Literature DB >> 24859887

Diagnostic value of computed tomography scanning in differentiating malignant from benign solitary pulmonary nodules: a meta-analysis.

Chuan-Yu Zhang1, Hua-Long Yu, Xia Li, Yong-Ye Sun.   

Abstract

An early diagnosis of lung cancer is crucial for early treatment and management. The objective of this systematic review was to assess the overall diagnostic accuracy of chest computed tomography (CT) scanning in differentiating malignant from benign solitary pulmonary nodules (SPNs) with meta-analysis. The PubMed and China National Knowledge Infrastructure (CNKI) database were searched for eligible studies published up to March 2014. The sensitivity, specificity, and other measures of accuracy of chest CT scanning in the diagnosis of SPNs were pooled along with 95 % confidence intervals (CI). Summary receiver operating characteristic (ROC) curves were used to summarize overall test performance. Thirty-two studies met our inclusion criteria. The summary estimates for chest CT scanning in the diagnosis of SPNs in the meta-analysis were as follows: pooled sensitivity, 0.89 (95 % CI, 0.88 to 0.91); pooled specificity, 0.70 (95 % CI, 0.68 to 0.73); positive likelihood ratio, 2.88 (95 % CI, 2.46 to 3.37); negative likelihood ratio, 0.16 (95 % CI, 0.12 to 0.21); and diagnostic odds ratio, 23.83 (95 % CI, 16.18 to 35.11). The results indicate that CT scanning has relatively high sensitivity and moderate specificity for the diagnosis of SPNs. Given the low cost and growing prevalence of the technology, CT scanning should be recommended as the initial test for the evaluation of SPNs.

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Year:  2014        PMID: 24859887     DOI: 10.1007/s13277-014-2113-8

Source DB:  PubMed          Journal:  Tumour Biol        ISSN: 1010-4283


  42 in total

1.  Multidetector CT features of pulmonary focal ground-glass opacity: differences between benign and malignant.

Authors:  L Fan; S-Y Liu; Q-C Li; H Yu; X-S Xiao
Journal:  Br J Radiol       Date:  2011-11-29       Impact factor: 3.039

2.  Solitary pulmonary nodules and masses: a meta-analysis of the diagnostic utility of alternative imaging tests.

Authors:  Paul Cronin; Ben A Dwamena; Aine Marie Kelly; Steven J Bernstein; Ruth C Carlos
Journal:  Eur Radiol       Date:  2008-07-08       Impact factor: 5.315

3.  Solitary pulmonary nodules: comparison of multi-slice computed tomography perfusion study with vascular endothelial growth factor and microvessel density.

Authors:  Rong-jie Bai; Xiao-guang Cheng; Hui Qu; Bao-zhong Shen; Ming-jun Han; Zhen-hua Wu
Journal:  Chin Med J (Engl)       Date:  2009-03-05       Impact factor: 2.628

4.  Computer-aided differentiation of malignant from benign solitary pulmonary nodules imaged by high-resolution CT.

Authors:  Shingo Iwano; Tatsuya Nakamura; Yuko Kamioka; Mitsuru Ikeda; Takeo Ishigaki
Journal:  Comput Med Imaging Graph       Date:  2008-05-22       Impact factor: 4.790

5.  Meta-analyses of studies of the diagnostic accuracy of laboratory tests: a review of the concepts and methods.

Authors:  E C Vamvakas
Journal:  Arch Pathol Lab Med       Date:  1998-08       Impact factor: 5.534

6.  Optimization of the scanning technique and diagnosis of pulmonary nodules with first-pass 64-detector-row perfusion VCT.

Authors:  Sheng Jie Shu; Bai Lu Liu; Hui Jie Jiang
Journal:  Clin Imaging       Date:  2012-08-24       Impact factor: 1.605

7.  Lung nodule enhancement at CT: prospective findings.

Authors:  S J Swensen; L R Brown; T V Colby; A L Weaver; D E Midthun
Journal:  Radiology       Date:  1996-11       Impact factor: 11.105

8.  Results of the two incidence screenings in the National Lung Screening Trial.

Authors:  Denise R Aberle; Sarah DeMello; Christine D Berg; William C Black; Brenda Brewer; Timothy R Church; Kathy L Clingan; Fenghai Duan; Richard M Fagerstrom; Ilana F Gareen; Constantine A Gatsonis; David S Gierada; Amanda Jain; Gordon C Jones; Irene Mahon; Pamela M Marcus; Joshua M Rathmell; JoRean Sicks
Journal:  N Engl J Med       Date:  2013-09-05       Impact factor: 91.245

9.  The IASLC Lung Cancer Staging Project: proposals for the revision of the TNM stage groupings in the forthcoming (seventh) edition of the TNM Classification of malignant tumours.

Authors:  Peter Goldstraw; John Crowley; Kari Chansky; Dorothy J Giroux; Patti A Groome; Ramon Rami-Porta; Pieter E Postmus; Valerie Rusch; Leslie Sobin
Journal:  J Thorac Oncol       Date:  2007-08       Impact factor: 15.609

Review 10.  Towards complete and accurate reporting of studies of diagnostic accuracy: the STARD initiative.

Authors:  Patrick M Bossuyt; Johannes B Reitsma; David E Bruns; Constantine A Gatsonis; Paul P Glasziou; Les M Irwig; Jeroen G Lijmer; David Moher; Drummond Rennie; Henrica C W de Vet
Journal:  BMJ       Date:  2003-01-04
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  4 in total

1.  Computed tomography and pathology evaluation of lung ground-glass opacity.

Authors:  Hualong Yu; Shihe Liu; Chuanyu Zhang; Shaoke Li; Jianan Ren; Jingli Zhang; Wenjian Xu
Journal:  Exp Ther Med       Date:  2018-10-22       Impact factor: 2.447

2.  Combination of computer extracted shape and texture features enables discrimination of granulomas from adenocarcinoma on chest computed tomography.

Authors:  Mahdi Orooji; Mehdi Alilou; Sagar Rakshit; Niha Beig; Mohammad Hadi Khorrami; Prabhakar Rajiah; Rajat Thawani; Jennifer Ginsberg; Christopher Donatelli; Michael Yang; Frank Jacono; Robert Gilkeson; Vamsidhar Velcheti; Philip Linden; Anant Madabhushi
Journal:  J Med Imaging (Bellingham)       Date:  2018-04-18

3.  Comparing the diagnostic value of 18F-FDG-PET/CT versus CT for differentiating benign and malignant solitary pulmonary nodules: a meta-analysis.

Authors:  Yuzhu Jia; Wanfeng Gong; Zhiping Zhang; Gaofeng Tu; Jiapeng Li; Fanfan Xiong; Hongtao Hou; Yunyi Zhang; Meiqian Wu; Liping Zhang
Journal:  J Thorac Dis       Date:  2019-05       Impact factor: 2.895

4.  Dynamic contrast-enhanced MRI versus 18F-FDG PET/CT: Which is better in differentiation between malignant and benign solitary pulmonary nodules?

Authors:  Feng Feng; Fulin Qiang; Aijun Shen; Donghui Shi; Aiyan Fu; Haiming Li; Mingzhu Zhang; Ganlin Xia; Peng Cao
Journal:  Chin J Cancer Res       Date:  2018-02       Impact factor: 5.087

  4 in total

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