Xingju Zheng1, Yuanyuan Liu1, Mou Li1, Qiyan Wang1, Bin Song2. 1. Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China. 2. Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China. Electronic address: binsong65@yahoo.com.
Abstract
OBJECTIVE: A meta-analysis was conducted to determine the accuracy of dual-energy computed tomography (DECT) for differentiating urinary uric acid and calcified calculi. METHODS: The databases PubMed, EMBASE, Web of Science, and the Cochrane Library were searched up to May 2016 for relevant original studies. Data were extracted to calculate the pooled sensitivity, specificity, diagnostic odds ratio (OR), positive and negative likelihood ratios (PLR and NLR), and areas under summary receiver operating characteristic (AUROC) curves for analysis. RESULTS: Nine studies (609 stones in 415 patients) were included. For differentiating uric acid (UA) and non-UA calculi with DECT, the analysis indicated: pooled weighted sensitivity, 0.955 (95% CI, 0.888-0.987); specificity, 0.985 (95% CI, 0.970-0.993); PLR, 0.084 (95% CI, 0.041-0.170); NLR 33.327 (95% CI, 18.516-59.985); and diagnostic OR 538.18 (95% CI, 195.50-1478.5). The AUROC value was 0.9901. For calcified stones, the analysis indicated: pooled weighted sensitivity, 0.994 (95% CI, 0.969-1); specificity, 0.973 (95% CI, 0.906-0.997); PLR, 11.200 (95% CI, 4.922-25.486); NLR 0.027 (95% CI, 0.010-0.072); and diagnostic OR 654.89 (95% CI, 151.31-2834.4). The AUROC value was 0.9915. CONCLUSION: This meta-analysis found that DECT is a highly accurate noninvasive method for characterizing urinary uric acid and calcified calculi.
OBJECTIVE: A meta-analysis was conducted to determine the accuracy of dual-energy computed tomography (DECT) for differentiating urinary uric acid and calcified calculi. METHODS: The databases PubMed, EMBASE, Web of Science, and the Cochrane Library were searched up to May 2016 for relevant original studies. Data were extracted to calculate the pooled sensitivity, specificity, diagnostic odds ratio (OR), positive and negative likelihood ratios (PLR and NLR), and areas under summary receiver operating characteristic (AUROC) curves for analysis. RESULTS: Nine studies (609 stones in 415 patients) were included. For differentiating uric acid (UA) and non-UA calculi with DECT, the analysis indicated: pooled weighted sensitivity, 0.955 (95% CI, 0.888-0.987); specificity, 0.985 (95% CI, 0.970-0.993); PLR, 0.084 (95% CI, 0.041-0.170); NLR 33.327 (95% CI, 18.516-59.985); and diagnostic OR 538.18 (95% CI, 195.50-1478.5). The AUROC value was 0.9901. For calcified stones, the analysis indicated: pooled weighted sensitivity, 0.994 (95% CI, 0.969-1); specificity, 0.973 (95% CI, 0.906-0.997); PLR, 11.200 (95% CI, 4.922-25.486); NLR 0.027 (95% CI, 0.010-0.072); and diagnostic OR 654.89 (95% CI, 151.31-2834.4). The AUROC value was 0.9915. CONCLUSION: This meta-analysis found that DECT is a highly accurate noninvasive method for characterizing urinary uric acid and calcified calculi.
Authors: Trevor A McGrath; Robert A Frank; Nicola Schieda; Brian Blew; Jean-Paul Salameh; Patrick M M Bossuyt; Matthew D F McInnes Journal: Eur Radiol Date: 2020-01-24 Impact factor: 5.315
Authors: Gita M Schoenberg; Viktoria Schuetz; Joanne N Nyarangi-Dix; Steffen J Diehl; Rafael Heiss; Boris Adamietz Journal: Urologe A Date: 2022-03-09 Impact factor: 0.639
Authors: Tim Nestler; Kai Nestler; Andreas Neisius; Hendrik Isbarn; Christopher Netsch; Stephan Waldeck; Hans U Schmelz; Christian Ruf Journal: World J Urol Date: 2018-08-03 Impact factor: 4.226
Authors: C Seitz; T Bach; M Bader; W Berg; T Knoll; A Neisius; C Netsch; M Nothacker; S Schmidt; M Schönthaler; R Siener; R Stein; M Straub; W Strohmaier; C Türk; B Volkmer Journal: Urologe A Date: 2019-11 Impact factor: 0.639
Authors: Elisabeth Appel; Christoph Thomas; Andrea Steuwe; Benedikt M Schaarschmidt; Olga R Brook; Joel Aissa; Jörg Hennenlotter; Gerald Antoch; Johannes Boos Journal: Br J Radiol Date: 2021-10-07 Impact factor: 3.039