Semiquantitative score of breast arterial calcifications on mammography (BAC-SS): intra- and inter-reader reproducibility.

Cardiovascular diseases Mönckeberg medial calcific sclerosis biomarkers mammography reproducibility of results

Journal

Quantitative imaging in medicine and surgery
ISSN: 2223-4292
Titre abrégé: Quant Imaging Med Surg
Pays: China
ID NLM: 101577942

Informations de publication

Date de publication:
May 2021
Historique:
entrez: 3 5 2021
pubmed: 4 5 2021
medline: 4 5 2021
Statut: ppublish

Résumé

Breast arterial calcifications (BAC), representing Mönckeberg's sclerosis of the tunica media of breast arteries, are an imaging biomarker for cardiovascular risk stratification in the female population. Our aim was to estimate the intra- and inter-reader reproducibility of a semiquantitative score for BAC assessment (BAC-SS). Consecutive women who underwent screening mammography at our center from January 1 Among 408 women, 57 (14%) had BAC; 114 medio-lateral oblique views were assessed. Median BAC score was 4 [interquartile range (IQR): 3-6] for R1 and 4 (IQR: 2-6) for R2 (P=0.417) while median scoring time was 156 s (IQR: 99-314 s) for R1 and 191 s (IQR: 137-292 s) for R2 (P=0.743). Bland-Altman analysis showed a 77% intra-reader reproducibility [bias: 0.193, coefficient of repeatability (CoR): 0.955] and a 64% inter-reader reproducibility (bias: 0.211, CoR: 1.516). Cohen's κ for BAC presence was 0.968 for intra-reader agreement and 0.937 for inter-reader agreement. Our BAC-SS has a good intra- and inter-reader reproducibility, within acceptable scoring times. A large-scale study is warranted to test its ability to stratify cardiovascular risk in women.

Sections du résumé

BACKGROUND BACKGROUND
Breast arterial calcifications (BAC), representing Mönckeberg's sclerosis of the tunica media of breast arteries, are an imaging biomarker for cardiovascular risk stratification in the female population. Our aim was to estimate the intra- and inter-reader reproducibility of a semiquantitative score for BAC assessment (BAC-SS).
METHODS METHODS
Consecutive women who underwent screening mammography at our center from January 1
RESULTS RESULTS
Among 408 women, 57 (14%) had BAC; 114 medio-lateral oblique views were assessed. Median BAC score was 4 [interquartile range (IQR): 3-6] for R1 and 4 (IQR: 2-6) for R2 (P=0.417) while median scoring time was 156 s (IQR: 99-314 s) for R1 and 191 s (IQR: 137-292 s) for R2 (P=0.743). Bland-Altman analysis showed a 77% intra-reader reproducibility [bias: 0.193, coefficient of repeatability (CoR): 0.955] and a 64% inter-reader reproducibility (bias: 0.211, CoR: 1.516). Cohen's κ for BAC presence was 0.968 for intra-reader agreement and 0.937 for inter-reader agreement.
CONCLUSIONS CONCLUSIONS
Our BAC-SS has a good intra- and inter-reader reproducibility, within acceptable scoring times. A large-scale study is warranted to test its ability to stratify cardiovascular risk in women.

Identifiants

pubmed: 33936983
doi: 10.21037/qims-20-560
pii: qims-11-05-2019
pmc: PMC8047367
doi:

Types de publication

Journal Article

Langues

eng

Pagination

2019-2027

Informations de copyright

2021 Quantitative Imaging in Medicine and Surgery. All rights reserved.

Déclaration de conflit d'intérêts

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at http://dx.doi.org/10.21037/qims-20-560). FS has received research grants from and is member of speakers’ bureau and of advisory group for General Electric, Bayer, and Bracco. The other authors have no conflicts of interest to declare.

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Auteurs

Rubina Manuela Trimboli (RM)

Department of Biomedical Sciences for Health, Università degli Studi di Milano, Milan, Italy.

Marina Codari (M)

Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy.

Andrea Cozzi (A)

Department of Biomedical Sciences for Health, Università degli Studi di Milano, Milan, Italy.

Caterina Beatrice Monti (CB)

Department of Biomedical Sciences for Health, Università degli Studi di Milano, Milan, Italy.

Davide Capra (D)

Department of Biomedical Sciences for Health, Università degli Studi di Milano, Milan, Italy.

Carolina Nenna (C)

Corso di Laurea in Medicina e Chirurgia, Università degli Studi di Milano, Milan, Italy.

Diana Spinelli (D)

Postgraduation School in Radiodiagnostics, Università degli Studi di Milano, Milan, Italy.

Giovanni Di Leo (G)

Unit of Radiology, IRCCS Policlinico San Donato, San Donato Milanese, Italy.

Giuseppe Baselli (G)

Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy.

Francesco Sardanelli (F)

Department of Biomedical Sciences for Health, Università degli Studi di Milano, Milan, Italy.
Unit of Radiology, IRCCS Policlinico San Donato, San Donato Milanese, Italy.

Classifications MeSH