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Zhong Y, Li M, Zhu J, Zhang B, Liu M, Wang Z, Wang J, Zheng Y, Cheng L, Li X. A simplified scoring protocol to improve diagnostic accuracy with the breast imaging reporting and data system in breast magnetic resonance imaging. Quant Imaging Med Surg 2022; 12:3860-3872. [PMID: 35782247 PMCID: PMC9246725 DOI: 10.21037/qims-21-1036] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Accepted: 04/19/2022] [Indexed: 12/31/2023]
Abstract
BACKGROUND The breast imaging reporting and data system (BI-RADS) lexicon provides a standardized terminology for describing leision characteristics but does not provide defined rules for converting specific imaging features into diagnostic categories. The inter-reader agreement of the BI-RADS is moderate. In this study, we explored the use of a simplified protocol and scoring system for BI-RADS categorization which integrates the morphologic features (MF), kinetic time-intensity curve (TIC), and apparent diffusion coefficient (ADC) values with equal weights, with a view to providing a convenient and practical method for breast magnetic resonance imaging (MRI) and improving the inter-reader agreement and diagnostic performance of BI-RADS. METHODS This cross-sectional, retrospective, single-center study included 879 patients with 898 histopathologically verified lesions who underwent an MRI scan on a 3.0 Tesla GE Discovery 750 MRI scanner between January 1, 2017, and June 30, 2020. The BI-RADS categorization of the studied lesions was assessed according to the sum of the assigned scores (the presence of malignant MF, lower ADC, and suspicious TIC each warranted a score of +1). Total scores of +2 and +3 were classified as category 5, scores of +1 were classified as category 4, and scores of +0 but with other lesions of interest were classified as category 3. The receiver operating characteristic (ROC) curves were plotted, and the sensitivity, specificity, and accuracy of this categorization were investigated to assess its efficacy and its consistency with pathology. RESULTS There were 472 malignant, 104 risk, and 322 benign lesions. Our simplified scoring protocol had high diagnostic accuracy, with an area under curve (AUC) value of 0.896. In terms of the borderline effect of pathological risk and category 4 lesions, our results showed that when risk lesions were classified together with malignant ones, the AUC value improved (0.876 vs. 0.844 and 0.909 vs. 0.900). When category 4 and 5 lesions were classified as malignant, the specificity, accuracy, and AUC value decreased (82.3% vs. 93.2%, 89.3% vs. 90.2%, and 0.876 vs. 0.909, respectively). Therefore, to improve the diagnostic accuracy of the protocol for BI-RADS categorization, only category 5 lesions should be considered to be malignant. CONCLUSIONS Our simplified scoring protocol that integrates MF, TIC, and ADC values with equal weights for BI-RADS categorization could improve both the diagnostic performance of the protocol for BI-RADS categorization in clinical practice and the understanding of the benign-risk-malignant breast diseases.
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Affiliation(s)
- Yuting Zhong
- Medical School of Chinese People’s Liberation Army, Beijing, China
- Department of General Surgery, Chinese People’s Liberation Army General Hospital, Beijing, China
| | - Menglu Li
- Department of Radiology, Chinese People’s Liberation Army General Hospital, Beijing, China
| | - Jingjin Zhu
- Department of General Surgery, Chinese People’s Liberation Army General Hospital, Beijing, China
- School of Medicine, Nankai University, Tianjin, China
| | - Boya Zhang
- Department of General Surgery, Chinese People’s Liberation Army General Hospital, Beijing, China
- School of Medicine, Nankai University, Tianjin, China
| | - Mei Liu
- Department of Pathology, Chinese People’s Liberation Army General Hospital, Beijing, China
| | - Zhili Wang
- Department of Ultrasound, Chinese People’s Liberation Army General Hospital, Beijing, China
| | - Jiandong Wang
- Department of General Surgery, Chinese People’s Liberation Army General Hospital, Beijing, China
| | - Yiqiong Zheng
- Department of General Surgery, Chinese People’s Liberation Army General Hospital, Beijing, China
| | - Liuquan Cheng
- Department of Radiology, Chinese People’s Liberation Army General Hospital, Beijing, China
| | - Xiru Li
- Department of General Surgery, Chinese People’s Liberation Army General Hospital, Beijing, China
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Li X, Sun K, Chai W, Zhu H, Yan F. Role of breast MRI in predicting histologic upgrade risks in high-risk breast lesions: A review. Eur J Radiol 2021; 142:109855. [PMID: 34303150 DOI: 10.1016/j.ejrad.2021.109855] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Revised: 06/28/2021] [Accepted: 07/05/2021] [Indexed: 10/20/2022]
Abstract
PURPOSE This article reviews the frequency, upgrade rate and valuable imaging characteristics for predicting the histologic upgrade risks of high-risk lesions on MRI, so as to provide a reference for the management of the lesions. METHODS A comprehensive search for relevant publications from January 2011 to January 2021 was conducted in the PubMed database. The frequency, upgrade rate and valuable imaging characteristics for predicting the upgrade risks of high-risk lesions on MRI included in the articles were reviewed, and the management of high-risk lesions was provided with a reference according to the review results. RESULTS AND CONCLUSIONS In terms of management options, Atypical ductal hyperplasia (ADH) and Lobular neoplasia (LN) (the top two high-risk lesions with the highest upgrade rate and frequency) were treated with surgical resection. However, the final treatment decision for other high-risk lesions should be made by a multidisciplinary committee. In terms of the value of breast MRI in predicting the upgrade risks of high-risk lesions, the lesions that were confirmed to upgrade after surgery showed some enhancement characteristics, especially for ADH and LN. At the same time, Dynamic contrast-enhanced MRI (DCE-MRI) has a high negative predictive value (NPV) in predicting the upgrade risks of the high-risk lesions, hence misdiagnosis and overtreatment can be reduced. Diffusion-weighted imaging (DWI) and relative apparent diffusion coefficient (rADC) can be used to predict the upgrade risks of the lesions, and the ADC of upgraded lesions is lower than that of non-upgraded lesions. However, these conclusions should be confirmed by further studies.
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Affiliation(s)
- Xue Li
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin Er Road, Shanghai 200025, China.
| | - Kun Sun
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin Er Road, Shanghai 200025, China.
| | - Weimin Chai
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin Er Road, Shanghai 200025, China.
| | - Hong Zhu
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin Er Road, Shanghai 200025, China.
| | - Fuhua Yan
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No. 197 Ruijin Er Road, Shanghai 200025, China.
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Schiaffino S, Calabrese M, Melani EF, Trimboli RM, Cozzi A, Carbonaro LA, Di Leo G, Sardanelli F. Upgrade Rate of Percutaneously Diagnosed Pure Atypical Ductal Hyperplasia: Systematic Review and Meta-Analysis of 6458 Lesions. Radiology 2019; 294:76-86. [PMID: 31660803 DOI: 10.1148/radiol.2019190748] [Citation(s) in RCA: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Background Management of percutaneously diagnosed pure atypical ductal hyperplasia (ADH) is an unresolved clinical issue. Purpose To calculate the pooled upgrade rate of percutaneously diagnosed pure ADH. Materials and Methods A search of MEDLINE and EMBASE databases was performed in October 2018. Preferred Reporting Items for Systematic Reviews and Meta-Analyses, or PRISMA, guidelines were followed. A fixed- or random-effects model was used, along with subgroup and meta-regression analyses. The Newcastle-Ottawa scale was used for study quality, and the Egger test was used for publication bias. Results Of 521 articles, 93 were analyzed, providing data for 6458 ADHs (5911 were managed with surgical excision and 547 with follow-up). Twenty-four studies used core-needle biopsy; 44, vacuum-assisted biopsy; 21, both core-needle and vacuum-assisted biopsy; and four, unspecified techniques. Biopsy was performed with stereotactic guidance in 29 studies; with US guidance in nine, with MRI guidance in nine, and with mixed guidance in eight. Overall heterogeneity was high (I2 = 80%). Subgroup analysis according to management yielded a pooled upgrade rate of 29% (95% confidence interval [CI]: 26%, 32%) for surgically excised lesions and 5% (95% CI: 4%, 8%) for lesions managed with follow-up (P < .001). Heterogeneity was entirely associated with surgically excised lesions (I2 = 78%) rather than those managed with follow-up (I2 = 0%). Most variability was explained by guidance and needle caliper (P = .15). At subgroup analysis of surgically excised lesions, the pooled upgrade rate was 42% (95% CI: 31%, 53%) for US guidance, 23% (95% CI: 19%, 27%) for stereotactic biopsy, and 32% (95% CI: 22%, 43%) for MRI guidance, with heterogeneity (52%, 63%, and 56%, respectively) still showing the effect of needle caliper. When the authors considered patients with apparent complete lesion removal after biopsy (subgroups in 14 studies), the pooled upgrade rate was 14% (95% CI: 8%, 23%). Study quality was low to medium; the risk of publication bias was low (P = .10). Conclusion Because of a pooled upgrade rate higher than 2% (independent of biopsy technique, needle size, imaging guidance, and apparent complete lesion removal), atypical ductal hyperplasia diagnosed with percutaneous needle biopsy should be managed with surgical excision. © RSNA, 2019 Online supplemental material is available for this article. See also the editorial by Brem in this issue.
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Affiliation(s)
- Simone Schiaffino
- From the Unit of Radiology, IRCCS Policlinico San Donato, San Donato Milanese, Italy (S.S., L.A.C., G.D.L., F.S.); Unit of Radiology, IRCCS Policlinico San Martino, Genoa, Italy (M.C.); Unit of Radiology, Ente Ospedaliero Ospedali Galliera, Genoa, Italy (E.F.M.); and Department of Biomedical Sciences for Health, Università degli Studi di Milano, Via Mangiagalli 31, 20133 Milan, Italy (R.M.T., A.C., F.S.)
| | - Massimo Calabrese
- From the Unit of Radiology, IRCCS Policlinico San Donato, San Donato Milanese, Italy (S.S., L.A.C., G.D.L., F.S.); Unit of Radiology, IRCCS Policlinico San Martino, Genoa, Italy (M.C.); Unit of Radiology, Ente Ospedaliero Ospedali Galliera, Genoa, Italy (E.F.M.); and Department of Biomedical Sciences for Health, Università degli Studi di Milano, Via Mangiagalli 31, 20133 Milan, Italy (R.M.T., A.C., F.S.)
| | - Enrico Francesco Melani
- From the Unit of Radiology, IRCCS Policlinico San Donato, San Donato Milanese, Italy (S.S., L.A.C., G.D.L., F.S.); Unit of Radiology, IRCCS Policlinico San Martino, Genoa, Italy (M.C.); Unit of Radiology, Ente Ospedaliero Ospedali Galliera, Genoa, Italy (E.F.M.); and Department of Biomedical Sciences for Health, Università degli Studi di Milano, Via Mangiagalli 31, 20133 Milan, Italy (R.M.T., A.C., F.S.)
| | - Rubina Manuela Trimboli
- From the Unit of Radiology, IRCCS Policlinico San Donato, San Donato Milanese, Italy (S.S., L.A.C., G.D.L., F.S.); Unit of Radiology, IRCCS Policlinico San Martino, Genoa, Italy (M.C.); Unit of Radiology, Ente Ospedaliero Ospedali Galliera, Genoa, Italy (E.F.M.); and Department of Biomedical Sciences for Health, Università degli Studi di Milano, Via Mangiagalli 31, 20133 Milan, Italy (R.M.T., A.C., F.S.)
| | - Andrea Cozzi
- From the Unit of Radiology, IRCCS Policlinico San Donato, San Donato Milanese, Italy (S.S., L.A.C., G.D.L., F.S.); Unit of Radiology, IRCCS Policlinico San Martino, Genoa, Italy (M.C.); Unit of Radiology, Ente Ospedaliero Ospedali Galliera, Genoa, Italy (E.F.M.); and Department of Biomedical Sciences for Health, Università degli Studi di Milano, Via Mangiagalli 31, 20133 Milan, Italy (R.M.T., A.C., F.S.)
| | - Luca Alessandro Carbonaro
- From the Unit of Radiology, IRCCS Policlinico San Donato, San Donato Milanese, Italy (S.S., L.A.C., G.D.L., F.S.); Unit of Radiology, IRCCS Policlinico San Martino, Genoa, Italy (M.C.); Unit of Radiology, Ente Ospedaliero Ospedali Galliera, Genoa, Italy (E.F.M.); and Department of Biomedical Sciences for Health, Università degli Studi di Milano, Via Mangiagalli 31, 20133 Milan, Italy (R.M.T., A.C., F.S.)
| | - Giovanni Di Leo
- From the Unit of Radiology, IRCCS Policlinico San Donato, San Donato Milanese, Italy (S.S., L.A.C., G.D.L., F.S.); Unit of Radiology, IRCCS Policlinico San Martino, Genoa, Italy (M.C.); Unit of Radiology, Ente Ospedaliero Ospedali Galliera, Genoa, Italy (E.F.M.); and Department of Biomedical Sciences for Health, Università degli Studi di Milano, Via Mangiagalli 31, 20133 Milan, Italy (R.M.T., A.C., F.S.)
| | - Francesco Sardanelli
- From the Unit of Radiology, IRCCS Policlinico San Donato, San Donato Milanese, Italy (S.S., L.A.C., G.D.L., F.S.); Unit of Radiology, IRCCS Policlinico San Martino, Genoa, Italy (M.C.); Unit of Radiology, Ente Ospedaliero Ospedali Galliera, Genoa, Italy (E.F.M.); and Department of Biomedical Sciences for Health, Università degli Studi di Milano, Via Mangiagalli 31, 20133 Milan, Italy (R.M.T., A.C., F.S.)
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