PURPOSE: To evaluate inter- and intra-observer variabilities in breast sonographic feature analysis and management, using the fourth edition of the Breast Imaging Reporting and Data System (BI-RADS). MATERIALS AND METHODS: We included 136 patients with 150 breast lesions who underwent breast ultrasound (US) and ultrasound-guided core needle biopsy. A pathological diagnosis was available for all 150 lesions: 77 (51%) malignant and 73 (49%) benign. Four radiologists retrospectively reviewed sonographic images of lesions twice within an 8-week interval. The observers described each lesion, using BI-RADS descriptors and final assessment. Inter- and intra-observer variabilities were assessed with Cohen's kappa statistic. Positive predictive value and negative predictive value (NPV) for final assessment were also calculated. RESULTS: For inter-observer agreements for sonographic descriptors, substantial agreement for lesion calcification and final assessment (kappa=0.61 for both), moderate agreement for lesion shape, orientation, boundary, and posterior acoustic features (kappa=0.49, 0.56, 0.59, and 0.49, respectively), and fair agreement for lesion margin and echo pattern (kappa=0.33 and 0.37, respectively) were obtained. For intra-observer agreement, substantial to perfect agreement was found for almost all lesion descriptors and final assessments. NPV for final assessment category 3 was 95%. Positive predictive value (PPV) for final assessment categorized as 4 or 5 were as follows: category 4a, 26%; category 4b, 89%; category 4c, 90%; and category 5, 97%. CONCLUSION: Because inter- and intra-observer agreement with the BI-RADS lexicon for US is good, the use of BI-RADS lexicon can provide accurate and consistent description and assessment for breast US.
PURPOSE: To evaluate inter- and intra-observer variabilities in breast sonographic feature analysis and management, using the fourth edition of the Breast Imaging Reporting and Data System (BI-RADS). MATERIALS AND METHODS: We included 136 patients with 150 breast lesions who underwent breast ultrasound (US) and ultrasound-guided core needle biopsy. A pathological diagnosis was available for all 150 lesions: 77 (51%) malignant and 73 (49%) benign. Four radiologists retrospectively reviewed sonographic images of lesions twice within an 8-week interval. The observers described each lesion, using BI-RADS descriptors and final assessment. Inter- and intra-observer variabilities were assessed with Cohen's kappa statistic. Positive predictive value and negative predictive value (NPV) for final assessment were also calculated. RESULTS: For inter-observer agreements for sonographic descriptors, substantial agreement for lesion calcification and final assessment (kappa=0.61 for both), moderate agreement for lesion shape, orientation, boundary, and posterior acoustic features (kappa=0.49, 0.56, 0.59, and 0.49, respectively), and fair agreement for lesion margin and echo pattern (kappa=0.33 and 0.37, respectively) were obtained. For intra-observer agreement, substantial to perfect agreement was found for almost all lesion descriptors and final assessments. NPV for final assessment category 3 was 95%. Positive predictive value (PPV) for final assessment categorized as 4 or 5 were as follows: category 4a, 26%; category 4b, 89%; category 4c, 90%; and category 5, 97%. CONCLUSION: Because inter- and intra-observer agreement with the BI-RADS lexicon for US is good, the use of BI-RADS lexicon can provide accurate and consistent description and assessment for breast US.
Authors: Amy Lynn Conners; Carrie B Hruska; Cindy L Tortorelli; Robert W Maxwell; Deborah J Rhodes; Judy C Boughey; Wendie A Berg Journal: Eur J Nucl Med Mol Imaging Date: 2012-06 Impact factor: 9.236
Authors: A Thomas Stavros; Andrea G Freitas; Giselle G N deMello; Lora Barke; Dennis McDonald; Terese Kaske; Ducly Wolverton; Arnold Honick; Daniela Stanzani; Adriana H Padovan; Ana Paula C Moura; Marilia C V de Campos Journal: Eur Radiol Date: 2017-04-10 Impact factor: 5.315
Authors: Jung Hyun Yoon; Hye Sun Lee; You Me Kim; Ji Hyun Youk; Sung Hun Kim; Sun Hye Jeong; Ji Young Hwang; Jin Hee Moon; Young Mi Park; Min Jung Kim Journal: Eur Radiol Date: 2019-01-07 Impact factor: 5.315