Maximizing diagnostic precision: Evaluating the combined Yokohama and BI-RADS scoring system for breast lesions

Q4 Medicine
Sana Ahuja , Aanchal Bhayana , Sufian Zaheer
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引用次数: 0

Abstract

Background

The diagnosis of breast cancer necessitates a multifaceted approach integrating cytopathological and radiological assessments. The International Academy of Cytology (IAC) Yokohama system and Breast Imaging Reporting and Data System (BI-RADS) are fundamental frameworks in this context. This study aims to evaluate the diagnostic potential of a combined Yokohama-BI-RADS scoring system for breast lesions.

Materials and methods

A retrospective analysis was conducted on fine needle aspirates from January to June 2023. The cases were classified using the IAC Yokohama system and sono-mammography BI-RADS score. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and diagnostic accuracy were calculated using histopathological diagnoses as the reference standard. Optimal cut-off scores for the combined scoring system were determined.

Results

Among 52 patients, cytological diagnoses encompassed non-diagnostic, benign, atypical, suspicious of malignancy, and malignant categories. BI-RADS scores ranged from 1 to 5. The combined Yokohama-BI-RADS score exhibited superior diagnostic accuracy (AUC: 0.986) compared to individual systems.

Conclusion

The combined Yokohama-BI-RADS scoring system represents a promising advancement in breast lesion evaluation, providing enhanced diagnostic precision by integrating cytopathological and radiological data. This approach has the potential to optimize clinical decision-making and contribute to improved patient outcomes in breast cancer management.
最大限度地提高诊断精度:评估乳房病变的联合横滨和BI-RADS评分系统。
背景:乳腺癌的诊断需要多方面的方法,包括细胞病理学和放射学评估。国际细胞学学会(IAC)横滨系统和乳腺成像报告和数据系统(BI-RADS)是这方面的基本框架。本研究旨在评估联合Yokohama-BI-RADS评分系统对乳腺病变的诊断潜力。材料与方法:回顾性分析2023年1 - 6月细针抽吸器的使用情况。使用IAC横滨系统和超声x线摄影BI-RADS评分对病例进行分类。以组织病理学诊断为参考标准,计算敏感性、特异性、阳性预测值(PPV)、阴性预测值(NPV)和诊断准确性。确定了综合评分系统的最佳分值。结果:52例患者的细胞学诊断包括非诊断性、良性、不典型、可疑恶性和恶性。BI-RADS评分范围从1到5。与单个系统相比,联合Yokohama-BI-RADS评分显示出更高的诊断准确性(AUC: 0.986)。结论:联合Yokohama-BI-RADS评分系统是乳腺病变评估的一个有前途的进步,通过整合细胞病理学和放射学数据,提高了诊断精度。这种方法有可能优化临床决策,并有助于改善乳腺癌管理患者的预后。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Revista Espanola de Patologia
Revista Espanola de Patologia Medicine-Pathology and Forensic Medicine
CiteScore
0.90
自引率
0.00%
发文量
53
审稿时长
34 days
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