Ultrasound S-detect system can improve diagnostic performance of less experienced radiologists in differentiating breast masses. A retrospective dual-center study.

IF 1.8 4区 医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING British Journal of Radiology Pub Date : 2024-11-13 DOI:10.1093/bjr/tqae233
Li-Wen Du, Hong-Li Liu, Meng-Jun Cai, Jia-Zhen Pan, Hai-Ling Zha, Chen-Lei Nie, Min-Jia Lin, Cui-Ying Li, Min Zong, Bo Zhang
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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-center setting.

Methods: US images were retrospectively identified 296 breast masses (150 benign, 146 malignant) by investigators at two medical centers. Six radiologists from the two centers independently analyzed the US images and classified each mass into categories 2 to 5. The radiologists then re-reviewed the images with the assistance of the S-detect system. The diagnostic value of radiologists alone, S-detect system alone, and S-detect alone, and radiologists + S-detect were analyzed and compared.

Results: Radiologists had significantly decreased the average false negative rate (FNR) for diagnosing breast masses using S-detect system (- 10.7%) (P < 0.001) and increased the area under the receiver operating characteristic curve (AUC) from 0.743 to 0.788 (P < 0.001). Seventy-seven out of 888 US images from six radiologists in this study were changed positively (from false negative to true positive or from false positive to true negative) with the S-detect, while 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 used a dual-center design and compared the performance of the radiologists alone, the S-detect alone, and the radiologists combined with the S-detect. The study reported an improvement in sensitivity and AUC particularly for low to intermediate-level radiologists, involved cases and radiologists from two different centers, and compared the diagnostic value of using S-detect system for masses of different sizes.

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超声 S-检测系统可提高经验不足的放射科医生在区分乳腺肿块方面的诊断能力。一项双中心回顾性研究。
目的在双中心环境下,比较放射科医生在 S-detect 系统辅助下与放射科医生或单独使用 S-detect 系统在 US 图像上诊断乳腺肿块的表现:两家医疗中心的研究人员对 296 个乳腺肿块(150 个良性,146 个恶性)的 US 图像进行了回顾性鉴定。两个中心的六位放射科医生独立分析 US 图像,并将每个肿块分为 2 至 5 类。然后,放射科医生在 S-detect 系统的协助下重新审查图像。分析并比较了放射科医生单独诊断、S-检测系统单独诊断、S-检测系统单独诊断以及放射科医生+S-检测系统的诊断价值:结果:使用 S-detect 系统,放射科医生诊断乳腺肿块的平均假阴性率(FNR)明显降低(- 10.7%)(P 结论:放射科医生在诊断乳腺肿块方面表现更好:使用 S-detect 系统的放射科医生在诊断 US 图像上的恶性乳腺肿块时比不使用 S-detect 系统的放射科医生有更好的表现:该研究采用双中心设计,比较了放射科医生单独诊断、S-检测系统单独诊断和放射科医生与 S-检测系统联合诊断的效果。该研究报告称,中低级放射科医生的灵敏度和AUC均有所提高,研究涉及两个不同中心的病例和放射科医生,并比较了使用S-检测系统对不同大小肿块的诊断价值。
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来源期刊
British Journal of Radiology
British Journal of Radiology 医学-核医学
CiteScore
5.30
自引率
3.80%
发文量
330
审稿时长
2-4 weeks
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. Quick Facts: - 2015 Impact Factor – 1.840 - Receipt to first decision – average of 6 weeks - Acceptance to online publication – average of 3 weeks - ISSN: 0007-1285 - eISSN: 1748-880X Open Access option
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