Digital breast tomosynthesis compared to diagnostic mammographic projections (including magnification) among women recalled at screening mammography: a systematic review for the European Commission Initiative on Breast Cancer (ECIBC).


Journal

Cancer medicine
ISSN: 2045-7634
Titre abrégé: Cancer Med
Pays: United States
ID NLM: 101595310

Informations de publication

Date de publication:
04 2021
Historique:
revised: 12 01 2021
received: 02 10 2020
accepted: 08 02 2021
pubmed: 7 3 2021
medline: 27 7 2021
entrez: 6 3 2021
Statut: ppublish

Résumé

Diagnostic mammography projections (DxMM) have been traditionally used in the assessment of women recalled after a suspicious screening mammogram. Digital breast tomosynthesis (DBT) reduces the tissue overlap effect, thus improving image assessment. Some studies have suggested DBT might replace DxMM with at least equivalent performance. To evaluate the replacement of DxMM with DBT in women recalled at screening. We searched PubMed, EMBASE, and the Cochrane Library databases to identify diagnostic paired cohort studies or RCTs comparing DBT vs DxMM, published in English that: reported accuracy outcomes, recruited women recalled for assessment at mammography screening, and included a reference standard. Subgroup analysis was performed over lesion characteristics. We provided pooled accuracy estimates and differences between tests using a quadrivariate model. We assessed the certainty of the evidence using the GRADE approach. We included ten studies that reported specificity and sensitivity. One study included 7060 women while the remaining included between 52 and 738 women. DBT compared with DxMM showed a pooled difference for the sensitivity of 2% (95% CI 1%-3%) and a pooled difference for the specificity of 6% (95%CI 2%-11%). Restricting the analysis to the six studies that included women with microcalcification lesions gave similar results. In the context of a prevalence of 21% of breast cancer (BC) in recalled women, DBT probably detects 4 (95% CI 2-6) more BC cases and has 47 (95%CI 16-87) fewer false-positive results per 1000 assessments. The certainty of the evidence was moderate due to risk of bias. The evidence in the assessment of screen-recalled findings with DBT is sparse and of moderate certainty. DBT probably has higher sensitivity and specificity than DxMM. Women, health care providers and policymakers might value as relevant the reduction of false-positive results and related fewer invasive diagnostic procedures with DBT, without missing BC cases.

Sections du résumé

BACKGROUND
Diagnostic mammography projections (DxMM) have been traditionally used in the assessment of women recalled after a suspicious screening mammogram. Digital breast tomosynthesis (DBT) reduces the tissue overlap effect, thus improving image assessment. Some studies have suggested DBT might replace DxMM with at least equivalent performance.
OBJECTIVE
To evaluate the replacement of DxMM with DBT in women recalled at screening.
METHODS
We searched PubMed, EMBASE, and the Cochrane Library databases to identify diagnostic paired cohort studies or RCTs comparing DBT vs DxMM, published in English that: reported accuracy outcomes, recruited women recalled for assessment at mammography screening, and included a reference standard. Subgroup analysis was performed over lesion characteristics. We provided pooled accuracy estimates and differences between tests using a quadrivariate model. We assessed the certainty of the evidence using the GRADE approach.
RESULTS
We included ten studies that reported specificity and sensitivity. One study included 7060 women while the remaining included between 52 and 738 women. DBT compared with DxMM showed a pooled difference for the sensitivity of 2% (95% CI 1%-3%) and a pooled difference for the specificity of 6% (95%CI 2%-11%). Restricting the analysis to the six studies that included women with microcalcification lesions gave similar results. In the context of a prevalence of 21% of breast cancer (BC) in recalled women, DBT probably detects 4 (95% CI 2-6) more BC cases and has 47 (95%CI 16-87) fewer false-positive results per 1000 assessments. The certainty of the evidence was moderate due to risk of bias.
CONCLUSION
The evidence in the assessment of screen-recalled findings with DBT is sparse and of moderate certainty. DBT probably has higher sensitivity and specificity than DxMM. Women, health care providers and policymakers might value as relevant the reduction of false-positive results and related fewer invasive diagnostic procedures with DBT, without missing BC cases.

Identifiants

pubmed: 33675147
doi: 10.1002/cam4.3803
pmc: PMC7982617
doi:

Types de publication

Comparative Study Journal Article Research Support, Non-U.S. Gov't Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

2191-2204

Informations de copyright

© 2021 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.

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Auteurs

Carlos Canelo-Aybar (C)

CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Department of Clinical Epidemiology and Public Health, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain.

Lourdes Carrera (L)

Universidad Nacional Mayor de San Marcos, Lima, Perú.

Jessica Beltrán (J)

Department of Clinical Epidemiology and Public Health, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain.

Margarita Posso (M)

Department of Clinical Epidemiology and Public Health, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain.
Department of Epidemiology and Evaluation, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain.

David Rigau (D)

Department of Clinical Epidemiology and Public Health, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain.

Annette Lebeau (A)

Institute of Pathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Axel Gräwingholt (A)

Radiologie am Theater, Paderborn, Germany.

Xavier Castells (X)

Department of Epidemiology and Evaluation, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain.

Miranda Langendam (M)

Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam UMC, University of Amsterdam, Amsterdam Public Health Institute, Amsterdam, The Netherlands.

Elsa Pérez (E)

University Hospital Dr. Josep Trueta, Girona, Spain.

Paolo Giorgi Rossi (P)

Epidemiology Unit, Azienda USL - IRCCS di Reggio Emilia, Reggio Emilia, Italy.

Ruben Van Engen (R)

LRCB, Dutch Expert Centre for Screening, Nijmegen, The Netherlands.

Elena Parmelli (E)

European Commission, Joint Research Centre (JRC), Ispra, Italy.

Zuleika Saz-Parkinson (Z)

European Commission, Joint Research Centre (JRC), Ispra, Italy.

Pablo Alonso-Coello (P)

CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Department of Clinical Epidemiology and Public Health, Biomedical Research Institute Sant Pau (IIB Sant Pau), Barcelona, Spain.

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