Alessandro Calabrese1, Domiziana Santucci2, Roberta Landi3, Bruno Beomonte Zobel3, Eliodoro Faiella3, Carlo de Felice1. 1. Department of Radiology, University of Rome "La Sapienza", Viale del Policlinico, 155 00161, Rome, RM, Italy. 2. Department of Radiology, University of Rome "Campus Bio-Medico", Via Alvaro del Portillo, 21 00128, Rome, Italy. d.santucci@unicampus.it. 3. Department of Radiology, University of Rome "Campus Bio-Medico", Via Alvaro del Portillo, 21 00128, Rome, Italy.
Abstract
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.
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.
Entities:
Keywords:
Artificial intelligence; Breast cancer; Lymph node status; Magnetic resonance imaging; Radiomics
Authors: Eliodoro Faiella; Domiziana Santucci; Alessandro Calabrese; Fabrizio Russo; Gianluca Vadalà; Bruno Beomonte Zobel; Paolo Soda; Giulio Iannello; Carlo de Felice; Vincenzo Denaro Journal: Int J Environ Res Public Health Date: 2022-02-08 Impact factor: 3.390
Authors: Domiziana Santucci; Eliodoro Faiella; Michela Gravina; Ermanno Cordelli; Carlo de Felice; Bruno Beomonte Zobel; Giulio Iannello; Carlo Sansone; Paolo Soda Journal: Cancers (Basel) Date: 2022-09-21 Impact factor: 6.575