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Scoring system based on BI-RADS lexicon to predict probability of malignancy in suspicious microcalcifications

Authors
 Ji Hyun Youk  ;  Eun Ju Son  ;  Jeong-Ah Kim  ;  Hee Jung Moon  ;  Min Jung Kim  ;  Chung Hyun Choi  ;  Eun-Kyung Kim 
Citation
 Annals of Surgical Oncology, Vol.19(5) : 1491-1498, 2012 
Journal Title
 Annals of Surgical Oncology 
ISSN
 1068-9265 
Issue Date
2012
Abstract
PURPOSE: To develop a scoring system allowing quantification of the probability of malignancy of suspicious microcalcifications based on Breast Imaging Reporting and Data System (BI-RADS). METHODS: A total of 163 microcalcification lesions surgically excised in 147 women (aged 28-65 years) were included. Two radiologists independently reviewed each lesion with BI-RADS (4th edition). The interobserver agreement and positive predictive value (PPV) for each descriptor were determined and multivariate analysis was used to develop a scoring system. The scores were compared between benign and malignant lesions and among BI-RADS categories by using the two-sample t-test or the analysis of variance. To assess the discriminative power of the scoring system, the area under the receiver-operating characteristic curve (AUC) and cutoff values for categorization were determined. For the test of the scoring system, the validation data set from a different facility was applied. RESULTS: Interobserver agreement was fair to moderate for distribution, morphology, and category (κ = 0.45, 0.40, and 0.37). PPVs were significantly different among BI-RADS descriptors and categories (P < 0.0001). Of the scoring system developed, the AUC was 0.75. The scores between benign and malignant lesions were significantly different. By means of cutoff values, PPV in category 4a, 4b, 4c, and 5 was 7.0%, 15.0%, 44.8%, and 83.3%, respectively. For the validation data set, the AUC was 0.79 and the PPV in category 4a, 4b, 4c, and 5 was 9.4%, 24.1%, 62.5%, and 80.0%, respectively. CONCLUSIONS: In suspicious microcalcifications, our scoring system based on BI-RADS (4th edition) could help to derive a specific final category with good stratification of the probability of malignancy.
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/89550
DOI
10.1245/s10434-011-2167-4
Appears in Collections:
1. Journal Papers (연구논문) > 1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실)
Yonsei Authors
김민정(Kim, Min Jung) ; 김은경(Kim, Eun-Kyung) ; 김정아(Kim, Jeong Ah) ; 문희정(Moon, Hee Jung) ; 손은주(Son, Eun Ju) ; 육지현(Youk, Ji Hyun)
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http://link.springer.com/article/10.1245%2Fs10434-011-2167-4
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