Prediction of the Pathological Response to Neoadjuvant Chemotherapy in Breast Cancer Patients With MRI-Radiomics: A Systematic Review and Meta-analysis.


Journal

Current problems in cancer
ISSN: 1535-6345
Titre abrégé: Curr Probl Cancer
Pays: United States
ID NLM: 7702986

Informations de publication

Date de publication:
Oct 2022
Historique:
received: 15 04 2022
revised: 22 06 2022
accepted: 27 06 2022
pubmed: 2 8 2022
medline: 4 10 2022
entrez: 1 8 2022
Statut: ppublish

Résumé

We performed a systematic review and a meta-analysis of studies using MRI-radiomics for predicting the pathological complete response in breast cancer patients undergoing neoadjuvant therapy , and we evaluated their methodological quality using the radiomics-quality-score (RQS). Random effects meta-analysis was performed pooling area under the receiver operating characteristics curves. Publication-bias was assessed using the Egger's test and visually inspecting the funnel plot. Forty-three studies were included in the qualitative review and 34 in the meta-analysis. Summary area under the receiver operating characteristics curve was 0,78 (95%CI:0,74-0,81). Heterogeneity according to the I

Identifiants

pubmed: 35914383
pii: S0147-0272(22)00043-5
doi: 10.1016/j.currproblcancer.2022.100883
pii:
doi:

Types de publication

Journal Article Meta-Analysis Review Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

100883

Informations de copyright

Copyright © 2022. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Conflict of Interest All the authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.

Auteurs

Filippo Pesapane (F)

Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy. Electronic address: filippo.pesapane@ieo.it.

Giorgio Maria Agazzi (GM)

Radiology Department, Università degli Studi di Brescia, Brescia, Italy.

Anna Rotili (A)

Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy.

Federica Ferrari (F)

Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy.

Andrea Cardillo (A)

Radiology Department, Università degli studi di Torino, Turin, Italy.

Silvia Penco (S)

Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy.

Valeria Dominelli (V)

Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy.

Oriana D'Ecclesiis (O)

Department of Experimental Oncology, IEO, European Institute of Oncology IRCCS, Milan, Italy.

Silvano Vignati (S)

Department of Experimental Oncology, IEO, European Institute of Oncology IRCCS, Milan, Italy.

Sara Raimondi (S)

Department of Experimental Oncology, IEO, European Institute of Oncology IRCCS, Milan, Italy.

Anna Bozzini (A)

Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy.

Maria Pizzamiglio (M)

Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy.

Giuseppe Petralia (G)

Department of Oncology and Hemato-oncology, University of Milan, Milan, Italy; Division of Radiology, IEO, European Institute of Oncology IRCCS, Milan, Italy.

Luca Nicosia (L)

Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy.

Enrico Cassano (E)

Breast Imaging Division, IEO European Institute of Oncology IRCCS, Milan, Italy.

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Classifications MeSH