Cargando…

The accuracy of magnetic resonance imaging in predicting the size of pure ductal carcinoma in situ: a systematic review and meta-analysis

Ductal carcinoma in situ (DCIS) is a putative precursor of invasive breast cancer and MRI is considered the most sensitive imaging technique for its detection. This study aims to evaluate the accuracy of MRI measuring the pure DCIS size, against pathology, to better understand the role of MRI in the...

Descripción completa

Detalles Bibliográficos
Autores principales: Roque, Ricardo, Cordeiro, Mariana Robalo, Armas, Mónica, Caramelo, Francisco, Caseiro-Alves, Filipe, Figueiredo-Dias, Margarida
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9243148/
https://www.ncbi.nlm.nih.gov/pubmed/35768442
http://dx.doi.org/10.1038/s41523-022-00441-x
_version_ 1784738242378072064
author Roque, Ricardo
Cordeiro, Mariana Robalo
Armas, Mónica
Caramelo, Francisco
Caseiro-Alves, Filipe
Figueiredo-Dias, Margarida
author_facet Roque, Ricardo
Cordeiro, Mariana Robalo
Armas, Mónica
Caramelo, Francisco
Caseiro-Alves, Filipe
Figueiredo-Dias, Margarida
author_sort Roque, Ricardo
collection PubMed
description Ductal carcinoma in situ (DCIS) is a putative precursor of invasive breast cancer and MRI is considered the most sensitive imaging technique for its detection. This study aims to evaluate the accuracy of MRI measuring the pure DCIS size, against pathology, to better understand the role of MRI in the management of this intraductal neoplasm.Potentially eligible studies in MEDLINE, Embase and Google Scholar, up to January 2021 were considered, and a systematic review and meta-analysis according to the published protocol (Prospero-CRD42021232228) was performed. Outcomes of mean differences and accuracy rates were analysed using IBM(®) SPSS(®) v26 and random-effect models in platform R v3.3.Twenty-two cross-sectional studies were selected and 15 proceeded to meta-analysis. MRI accurately predicted 55% of the tumours’ sizes and, according to Bland–Altman plots, concordance between MRI and pathology was greater for smaller tumours. In the meta-analysis, difference of the means between MRI and pathology was 3.85 mm (CI 95% [−0.92;8.60]) with considerable heterogeneity (I2 = 96.7%). Subgroup analysis showed similar results for sizes between different MRI fields, temporal resolution, slice thickness and acquisition times, but lower heterogeneity in studies using 3-T MRI (I2 = 57.2%). Results were concordant with low risk of bias studies (2.46, CI 95% [0.57–4.36]), without heterogeneity (I2 = 0%).Therefore, MRI is shown to be an accurate method in pure DCIS size assessment. Once the best MRI protocol is established, evaluation of the impact of pure DCIS size in predicting treatment outcomes will contribute to clarifying current issues related to intraductal breast carcinoma.
format Online
Article
Text
id pubmed-9243148
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-92431482022-07-01 The accuracy of magnetic resonance imaging in predicting the size of pure ductal carcinoma in situ: a systematic review and meta-analysis Roque, Ricardo Cordeiro, Mariana Robalo Armas, Mónica Caramelo, Francisco Caseiro-Alves, Filipe Figueiredo-Dias, Margarida NPJ Breast Cancer Review Article Ductal carcinoma in situ (DCIS) is a putative precursor of invasive breast cancer and MRI is considered the most sensitive imaging technique for its detection. This study aims to evaluate the accuracy of MRI measuring the pure DCIS size, against pathology, to better understand the role of MRI in the management of this intraductal neoplasm.Potentially eligible studies in MEDLINE, Embase and Google Scholar, up to January 2021 were considered, and a systematic review and meta-analysis according to the published protocol (Prospero-CRD42021232228) was performed. Outcomes of mean differences and accuracy rates were analysed using IBM(®) SPSS(®) v26 and random-effect models in platform R v3.3.Twenty-two cross-sectional studies were selected and 15 proceeded to meta-analysis. MRI accurately predicted 55% of the tumours’ sizes and, according to Bland–Altman plots, concordance between MRI and pathology was greater for smaller tumours. In the meta-analysis, difference of the means between MRI and pathology was 3.85 mm (CI 95% [−0.92;8.60]) with considerable heterogeneity (I2 = 96.7%). Subgroup analysis showed similar results for sizes between different MRI fields, temporal resolution, slice thickness and acquisition times, but lower heterogeneity in studies using 3-T MRI (I2 = 57.2%). Results were concordant with low risk of bias studies (2.46, CI 95% [0.57–4.36]), without heterogeneity (I2 = 0%).Therefore, MRI is shown to be an accurate method in pure DCIS size assessment. Once the best MRI protocol is established, evaluation of the impact of pure DCIS size in predicting treatment outcomes will contribute to clarifying current issues related to intraductal breast carcinoma. Nature Publishing Group UK 2022-06-29 /pmc/articles/PMC9243148/ /pubmed/35768442 http://dx.doi.org/10.1038/s41523-022-00441-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Review Article
Roque, Ricardo
Cordeiro, Mariana Robalo
Armas, Mónica
Caramelo, Francisco
Caseiro-Alves, Filipe
Figueiredo-Dias, Margarida
The accuracy of magnetic resonance imaging in predicting the size of pure ductal carcinoma in situ: a systematic review and meta-analysis
title The accuracy of magnetic resonance imaging in predicting the size of pure ductal carcinoma in situ: a systematic review and meta-analysis
title_full The accuracy of magnetic resonance imaging in predicting the size of pure ductal carcinoma in situ: a systematic review and meta-analysis
title_fullStr The accuracy of magnetic resonance imaging in predicting the size of pure ductal carcinoma in situ: a systematic review and meta-analysis
title_full_unstemmed The accuracy of magnetic resonance imaging in predicting the size of pure ductal carcinoma in situ: a systematic review and meta-analysis
title_short The accuracy of magnetic resonance imaging in predicting the size of pure ductal carcinoma in situ: a systematic review and meta-analysis
title_sort accuracy of magnetic resonance imaging in predicting the size of pure ductal carcinoma in situ: a systematic review and meta-analysis
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9243148/
https://www.ncbi.nlm.nih.gov/pubmed/35768442
http://dx.doi.org/10.1038/s41523-022-00441-x
work_keys_str_mv AT roquericardo theaccuracyofmagneticresonanceimaginginpredictingthesizeofpureductalcarcinomainsituasystematicreviewandmetaanalysis
AT cordeiromarianarobalo theaccuracyofmagneticresonanceimaginginpredictingthesizeofpureductalcarcinomainsituasystematicreviewandmetaanalysis
AT armasmonica theaccuracyofmagneticresonanceimaginginpredictingthesizeofpureductalcarcinomainsituasystematicreviewandmetaanalysis
AT caramelofrancisco theaccuracyofmagneticresonanceimaginginpredictingthesizeofpureductalcarcinomainsituasystematicreviewandmetaanalysis
AT caseiroalvesfilipe theaccuracyofmagneticresonanceimaginginpredictingthesizeofpureductalcarcinomainsituasystematicreviewandmetaanalysis
AT figueiredodiasmargarida theaccuracyofmagneticresonanceimaginginpredictingthesizeofpureductalcarcinomainsituasystematicreviewandmetaanalysis
AT roquericardo accuracyofmagneticresonanceimaginginpredictingthesizeofpureductalcarcinomainsituasystematicreviewandmetaanalysis
AT cordeiromarianarobalo accuracyofmagneticresonanceimaginginpredictingthesizeofpureductalcarcinomainsituasystematicreviewandmetaanalysis
AT armasmonica accuracyofmagneticresonanceimaginginpredictingthesizeofpureductalcarcinomainsituasystematicreviewandmetaanalysis
AT caramelofrancisco accuracyofmagneticresonanceimaginginpredictingthesizeofpureductalcarcinomainsituasystematicreviewandmetaanalysis
AT caseiroalvesfilipe accuracyofmagneticresonanceimaginginpredictingthesizeofpureductalcarcinomainsituasystematicreviewandmetaanalysis
AT figueiredodiasmargarida accuracyofmagneticresonanceimaginginpredictingthesizeofpureductalcarcinomainsituasystematicreviewandmetaanalysis