Lesion Conspicuity in Contrast-Enhanced Mammography: A Retrospective Analysis of Tumor Characteristics

Lesion conspicuity in CEM is primarily influenced by the type of enhancement and tumor size. Mass-forming lesions, particularly larger ones, are more conspicuous, while NME tends to result in lower conspicuity. These findings suggest that enhancement patterns and tumor dimensions are key factors to consider when interpreting CEM in breast cancer diagnosis.

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Publication Details

Journal
Cancers
Published
2025-02-03
DOI
https://doi.org/10.3390/cancers17030501
Citations
5
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
6.80
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article

Lesion Conspicuity in Contrast-Enhanced Mammography: A Retrospective Analysis of Tumor Characteristics

Diego de Benedetto, Giulia Bicchierai, Jacopo Nori Cucchiari, Silvia Pancani et al.
5 citations
Cancers
Radiomics and Machine Learning in Medical Imaging
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article

Lesion Conspicuity in Contrast-Enhanced Mammography: A Retrospective Analysis of Tumor Characteristics

Diego de Benedetto, Giulia Bicchierai, Jacopo Nori Cucchiari, Silvia Pancani, Federica Di Naro, Martina Pandolfi, Bianca Vanzi, Chiara Bellini, Sofia Vidali, Giuliano Migliaro, Tommaso Susini, Vittorio Miele, Ludovica Anna Incardona, Francesca Pugliese, Kassandra Toncelli
article en
5 citations

Abstract

Lesion conspicuity in CEM is primarily influenced by the type of enhancement and tumor size. Mass-forming lesions, particularly larger ones, are more conspicuous, while NME tends to result in lower conspicuity. These findings suggest that enhancement patterns and tumor dimensions are key factors to consider when interpreting CEM in breast cancer diagnosis.

CancersVol. 17(3)
Azienda Ospedaliero-Universitaria Careggi (IT), Don Carlo Gnocchi Foundation (IT), University of Florence (IT)
Good health and well-being
Openalex Percentile: Top 4%
Radiomics and Machine Learning in Medical Imaging
6.80
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