Chong Hyun Suh1, Seong Jong Yun2. 1. 1 Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea. 2. 2 Department of Radiology, Kyung Hee University Hospital at Gangdong, Kyung Hee University School of Medicine, 892 Dongnam-ro, Gangdong-gu, Seoul 05278, Republic of Korea.
Abstract
OBJECTIVE: This systematic review and meta-analysis aimed to evaluate the diagnostic outcome (diagnostic yield and accuracy) of image-guided percutaneous core needle biopsy (CNB) of sclerotic bone lesions. MATERIALS AND METHODS: A computerized search of the PubMed and EMBASE databases was performed to identify relevant original articles on the use of image-guided percutaneous CNB of sclerotic bone lesions. The pooled proportions of the diagnostic yield and pooled accuracy estimates were assessed using random-effects modeling. We also performed subgroup analyses of the diagnostic yield according to the drill systems (battery-powered vs manual). Heterogeneity among studies was determined using the inconsistency index (I2). Meta-regression analyses were performed to evaluate the potential sources of heterogeneity. RESULTS: Fifteen eligible studies, involving 969 sclerotic bone lesions for diagnostic yield, and 242 sclerotic bone lesions for diagnostic accuracy, were included. The pooled proportion of the diagnostic yield of image-guided percutaneous CNB of sclerotic bone lesions was 74% (95% CI, 62-84%), and the pooled accuracy estimate for differentiation between benign and malignant lesions was 87% (95% CI, 77-93%). In the subgroup analysis, the pooled proportion of the diagnostic yield of the battery-powered drill system (76.7% [95% CI, 64.0-85.8%]) was higher than that of the manual drill system (65.2% [95% CI, 58.0-71.8%]). In the meta-regression analyses, no variables were significantly different (p = 0.13-0.93). CONCLUSION: In conclusion, we determined that image-guided percutaneous CNB of sclerotic bone lesions is an accurate diagnostic technique with good diagnostic yield, particularly when the battery-powered bone biopsy system is used.
OBJECTIVE: This systematic review and meta-analysis aimed to evaluate the diagnostic outcome (diagnostic yield and accuracy) of image-guided percutaneous core needle biopsy (CNB) of sclerotic bone lesions. MATERIALS AND METHODS: A computerized search of the PubMed and EMBASE databases was performed to identify relevant original articles on the use of image-guided percutaneous CNB of sclerotic bone lesions. The pooled proportions of the diagnostic yield and pooled accuracy estimates were assessed using random-effects modeling. We also performed subgroup analyses of the diagnostic yield according to the drill systems (battery-powered vs manual). Heterogeneity among studies was determined using the inconsistency index (I2). Meta-regression analyses were performed to evaluate the potential sources of heterogeneity. RESULTS: Fifteen eligible studies, involving 969 sclerotic bone lesions for diagnostic yield, and 242 sclerotic bone lesions for diagnostic accuracy, were included. The pooled proportion of the diagnostic yield of image-guided percutaneous CNB of sclerotic bone lesions was 74% (95% CI, 62-84%), and the pooled accuracy estimate for differentiation between benign and malignant lesions was 87% (95% CI, 77-93%). In the subgroup analysis, the pooled proportion of the diagnostic yield of the battery-powered drill system (76.7% [95% CI, 64.0-85.8%]) was higher than that of the manual drill system (65.2% [95% CI, 58.0-71.8%]). In the meta-regression analyses, no variables were significantly different (p = 0.13-0.93). CONCLUSION: In conclusion, we determined that image-guided percutaneous CNB of sclerotic bone lesions is an accurate diagnostic technique with good diagnostic yield, particularly when the battery-powered bone biopsy system is used.
Entities:
Keywords:
bone neoplasms; core needle biopsy; data accuracy; meta-analysis; sclerosis
Authors: Ricardo Donners; Nicos Fotiadis; Ines Figueiredo; Matthew Blackledge; Daniel Westaby; Christina Guo; Maria de Los Dolores Fenor de la Maza; Dow-Mu Koh; Nina Tunariu Journal: Eur Radiol Date: 2022-07-26 Impact factor: 7.034
Authors: Ricardo Donners; Ines Figueiredo; Nina Tunariu; Matthew Blackledge; Dow-Mu Koh; Maria de Los Dolores Fenor de la Maza; Khobe Chandran; Johann S de Bono; Nicos Fotiadis Journal: Eur Radiol Date: 2022-01-29 Impact factor: 7.034