Guohua Shen1, Shuang Hu1, Houfu Deng1, Anren Kuang1. 1. 1 Department of Nuclear Medicine, West China Hospital, Sichuan University, No. 37 Guo Xue Xiang, Chengdu, Sichuan 610041, People's Republic of China.
Abstract
OBJECTIVE: The purpose of this study is to assess the diagnostic performance of DWI in the N stage assessment of patients with lung cancer. MATERIALS AND METHODS: The PubMed, EMBASE, Cochrane Library, Web of Science, and EBSCO English-language databases and two Chinese-language databases were searched for eligible studies. On the basis of the data extracted from included studies, we determined the pooled sensitivity and specificity, calculated the positive and negative likelihood ratios, and constructed summary ROC curves. In addition, we also performed threshold effect analysis, metaregression analysis, subgroup analysis, and publication bias analysis to explain the source of heterogeneity. RESULTS: A total of 18 articles involving 1116 patients met the inclusion criteria. On a per-patient basis, the pooled sensitivity and specificity estimates of DWI were 0.68 (95% CI, 0.63-0.73) and 0.92 (95% CI, 0.90-0.94), respectively. On a per-lesion basis, the corresponding estimates were 0.72 (95% CI, 0.69-0.75) for sensitivity and 0.96 (95% CI, 0.95-0.96) for specificity. Only the analysis method (quantitative vs qualitative) affected the diagnostic accuracy on the basis of subgroup and metaregression analysis. CONCLUSION: Current evidence suggests that DWI is beneficial in the nodal assessment of patients with lung cancer, and it is necessary to conduct high-quality prospective studies regarding the use of DWI in detecting metastatic lymph nodes of lung cancer to determine its true value.
OBJECTIVE: The purpose of this study is to assess the diagnostic performance of DWI in the N stage assessment of patients with lung cancer. MATERIALS AND METHODS: The PubMed, EMBASE, Cochrane Library, Web of Science, and EBSCO English-language databases and two Chinese-language databases were searched for eligible studies. On the basis of the data extracted from included studies, we determined the pooled sensitivity and specificity, calculated the positive and negative likelihood ratios, and constructed summary ROC curves. In addition, we also performed threshold effect analysis, metaregression analysis, subgroup analysis, and publication bias analysis to explain the source of heterogeneity. RESULTS: A total of 18 articles involving 1116 patients met the inclusion criteria. On a per-patient basis, the pooled sensitivity and specificity estimates of DWI were 0.68 (95% CI, 0.63-0.73) and 0.92 (95% CI, 0.90-0.94), respectively. On a per-lesion basis, the corresponding estimates were 0.72 (95% CI, 0.69-0.75) for sensitivity and 0.96 (95% CI, 0.95-0.96) for specificity. Only the analysis method (quantitative vs qualitative) affected the diagnostic accuracy on the basis of subgroup and metaregression analysis. CONCLUSION: Current evidence suggests that DWI is beneficial in the nodal assessment of patients with lung cancer, and it is necessary to conduct high-quality prospective studies regarding the use of DWI in detecting metastatic lymph nodes of lung cancer to determine its true value.
Entities:
Keywords:
DWI; N staging; lung cancer; meta-analysis
Authors: Stuart A Taylor; Susan Mallett; Anne Miles; Stephen Morris; Laura Quinn; Caroline S Clarke; Sandy Beare; John Bridgewater; Vicky Goh; Sam Janes; Dow-Mu Koh; Alison Morton; Neal Navani; Alfred Oliver; Anwar Padhani; Shonit Punwani; Andrea Rockall; Steve Halligan Journal: Health Technol Assess Date: 2019-12 Impact factor: 4.014
Authors: Stuart A Taylor; Sue Mallett; Sandy Beare; Gauraang Bhatnagar; Dominic Blunt; Peter Boavida; John Bridgewater; Caroline S Clarke; Marian Duggan; Steve Ellis; Robert Glynne-Jones; Vicky Goh; Ashley M Groves; Ayshea Hameeduddin; Sam M Janes; Edward W Johnston; Dow-Mu Koh; Anne Miles; Stephen Morris; Alison Morton; Neal Navani; John O'Donohue; Alfred Oliver; Anwar R Padhani; Helen Pardoe; Uday Patel; Shonit Punwani; Laura Quinn; Hameed Rafiee; Krystyna Reczko; Andrea G Rockall; Khawaja Shahabuddin; Harbir S Sidhu; Jonathan Teague; Mohamed A Thaha; Matthew Train; Katherine van Ree; Sanjaya Wijeyekoon; Steve Halligan Journal: Lancet Gastroenterol Hepatol Date: 2019-05-09
Authors: Stuart A Taylor; Sue Mallett; Simon Ball; Sandy Beare; Gauraang Bhatnagar; Angshu Bhowmik; Peter Boavida; John Bridgewater; Caroline S Clarke; Marian Duggan; Steve Ellis; Robert Glynne-Jones; Vicky Goh; Ashley M Groves; Ayshea Hameeduddin; Sam M Janes; Edward W Johnston; Dow-Mu Koh; Sara Lock; Anne Miles; Stephen Morris; Alison Morton; Neal Navani; Alfred Oliver; Terry O'Shaughnessy; Anwar R Padhani; David Prezzi; Shonit Punwani; Laura Quinn; Hameed Rafiee; Krystyna Reczko; Andrea G Rockall; Peter Russell; Harbir S Sidhu; Nicola Strickland; Kathryn Tarver; Jonathan Teague; Steve Halligan Journal: Lancet Respir Med Date: 2019-05-09 Impact factor: 30.700