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Radiomics MRI for lymph node status prediction in breast cancer patients: the state of art

Journal of cancer research and clinical oncology, 2021-06, Vol.147 (6), p.1587-1597 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021 ;COPYRIGHT 2021 Springer ;The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021. ;ISSN: 0171-5216 ;EISSN: 1432-1335 ;DOI: 10.1007/s00432-021-03606-6 ;PMID: 33758997

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  • Title:
    Radiomics MRI for lymph node status prediction in breast cancer patients: the state of art
  • Author: Calabrese, Alessandro ; Santucci, Domiziana ; Landi, Roberta ; Beomonte Zobel, Bruno ; Faiella, Eliodoro ; de Felice, Carlo
  • Subjects: Breast cancer ; Cancer patients ; Cancer Research ; Care and treatment ; Hematology ; Internal Medicine ; Lymph nodes ; Lymphatic system ; Magnetic resonance imaging ; Medical research ; Medicine ; Medicine & Public Health ; Medicine, Experimental ; Metastases ; Metastasis ; Oncology ; Review – Cancer Research ; Standardization
  • Is Part Of: Journal of cancer research and clinical oncology, 2021-06, Vol.147 (6), p.1587-1597
  • Description: Objectives To create a review of the existing literature on the radiomic approach in predicting the lymph node status of the axilla in breast cancer (BC). Materials and methods Two reviewers conducted the literature search on MEDLINE databases independently. Ten articles on the prediction of sentinel lymph node metastasis in breast cancer with a radiomic approach were selected. The study characteristics and results were reported. The quality of the methodology was evaluated according to the Radiomics Quality Score (RQS). Results All studies were retrospective in design and published between 2017 and 2020. The majority of studies used DCE-MRI sequences and two investigated only pre-contrast images. The sample size was lower than 200 patients for 7 studies. The pre-processing used software, feature extraction and selection methods and classifier development are heterogeneous and a standardization of results is not yet possible. The average RQS score was 11.1 (maximum possible value = 36). The criteria with the lowest scores were the type of study, validation, comparison with a gold standard, potential clinical utility, cost-effective analysis and open science data. Conclusion The field of radiomics is a diagnostic approach of relative recent development. The results in predicting axillary lymph node status are encouraging, but there are still weaknesses in the quality of studies that may limit the reproducibility of the results.
  • Publisher: Berlin/Heidelberg: Springer Berlin Heidelberg
  • Language: English
  • Identifier: ISSN: 0171-5216
    EISSN: 1432-1335
    DOI: 10.1007/s00432-021-03606-6
    PMID: 33758997
  • Source: ProQuest Central
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