Ultrasound S-detect system can improve diagnostic performance of less experienced radiologists in differentiating breast masses: a retrospective dual-centre study.
Liwen Du, Hongli Liu, Mengjun Cai, Jiazhen Pan, Hailing Zha, Chenlei Nie, Minjia Lin, Cuiying Li, Min Zong, Bo Zhang
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引用次数: 0
Abstract
Objective: To compare the performance of radiologists when assisted by an S-detect system with that of radiologists or an S-detect system alone in diagnosing breast masses on US images in a dual-centre setting.
Methods: US images were retrospectively identified 296 breast masses (150 benign, 146 malignant) by investigators at 2 medical centres. Six radiologists from the 2 centres independently analysed the US images and classified each mass into categories 2-5. The radiologists then re-reviewed the images with the use of the S-detect system. The diagnostic value of radiologists alone, S-detect alone, and radiologists + S-detect were analysed and compared.
Results: Radiologists had significantly decreased the average false negative rate (FNR) for diagnosing breast masses using S-detect system (-10.7%) (P < .001) and increased the area under the receiver operating characteristic curve (AUC) from 0.743 to 0.788 (P < .001). Seventy-seven out of 888 US images from 6 radiologists in this study were changed positively (from false positive to true negative or from false negative to true positive) with the S-detect, whereas 39 out of 888 US images were altered negatively.
Conclusion: Radiologists had better performance for the diagnosis of malignant breast masses on US images with an S-detect system than without.
Advances in knowledge: The study reported an improvement in sensitivity and AUC particularly for low to intermediate-level radiologists, involved cases and radiologists from 2 different centres, and compared the diagnostic value of using S-detect system for masses of different sizes.
期刊介绍:
BJR is the international research journal of the British Institute of Radiology and is the oldest scientific journal in the field of radiology and related sciences.
Dating back to 1896, BJR’s history is radiology’s history, and the journal has featured some landmark papers such as the first description of Computed Tomography "Computerized transverse axial tomography" by Godfrey Hounsfield in 1973. A valuable historical resource, the complete BJR archive has been digitized from 1896.
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