A new automated method to evaluate 2D mammographic breast density according to BI-RADS® Atlas Fifth Edition recommendations.
Objectives: Radiologists' visual assessment of breast mammographic density (BMD) is subject to inter-observer variability. We aimed to develop and validate a new automated software tool mimicking expert radiologists' consensus assessments of 2D BMD, as per BI-RADS V recommendations.Methods: The soft...
| Publicado en: | European Radiology Vol. 29; no. 7; pp. 3830 - 3839 |
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| Autores principales: | , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Springer Nature
Jul2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=136842401&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 136842401 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: Jul2019 vid: 29 iid: 7 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 136842401 136842401 NLM30770972 136842401 10.1007/s00330-019-06016-y NLM30770972 136842401 ppf: 3830 ppct: 9 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: A new automated method to evaluate 2D mammographic breast density according to BI-RADS® Atlas Fifth Edition recommendations. aug: au: Balleyguier, Corinne Arfi-Rouche, Julia Boyer, Bruno Gauthier, Emilien Helin, Valerie Loshkajian, Ara Ragusa, Stephane Delaloge, Suzette affil: Imaging Department, Gustave Roussy, 114 rue Edouard Vaillant, 94800, Villejuif, France sug: subj: Mammography Methods Breast Neoplasms Pathology Reproducibility of Results Aged Algorithms Resource Databases Adult Software Human Middle Age Aged, 80 and Over Breast Neoplasms Female Observer Bias Risk Assessment Validation Studies Comparative Studies Evaluation Research Multicenter Studies Barthel Index Psychological Tests Scales Aged: 65+ years Adult: 19-44 years Middle Aged: 45-64 years Aged, 80 & over Female ab: Objectives: Radiologists' visual assessment of breast mammographic density (BMD) is subject to inter-observer variability. We aimed to develop and validate a new automated software tool mimicking expert radiologists' consensus assessments of 2D BMD, as per BI-RADS V recommendations.Methods: The software algorithm was developed using a concept of Manhattan distance to compare a patient's mammographic image to reference mammograms with an assigned BMD category. Reference databases were built from a total of 2289 pairs (cranio-caudal and medio-lateral oblique views) of 2D full-field digital mammography (FFDM). Each image was independently assessed for BMD by a consensus of radiologists specialized in breast imaging. A validation set of additional 800 image pairs was evaluated for BMD both by the software and seven blinded radiologists specialized in breast imaging. The median score was used for consensus. Software reproducibility was assessed using FFDM image pairs from 214 patients in the validation set to compare BMD assessment between left and right breasts.Results: The software showed a substantial agreement with the radiologists' consensus (unweighted κ = 0.68, 95% CI 0.64-0.72) when considering the four breast density categories, and an almost perfect agreement (unweighted κ = 0.84, 95% CI 0.80-0.88) when considering clinically significant non-dense (A-B) and dense (C-D) categories. Correlation between left and right breasts was high (rs = 0.87; 95% CI 0.84-0.90).Conclusions: BMD assessment by the software was strongly correlated to radiologists' consensus assessments of BMD. Its performance should be compared to other methods, and its clinical utility evaluated in a risk assessment model.Key Points: • A new software tool assesses breast density in a standardized way. • The tool mimics radiologists' clinical assessment of breast density. • It may be incorporated in a breast cancer risk assessment model. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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