Role of radiomics in predicting lymph node metastasis in gastric cancer: a systematic review

Frontiers in Medicine

Medicine

Gianluca Rizzo¹  Vincenzo Tondolo¹  Giuseppe Quero²  Milutin Bulajic³  Domenico Cristiano Corsi⁴  Francesco Miccichè⁵  Calogero Casà⁵  Mariavittoria Leone⁵  Luca Boldrini⁶ 

[1] U.O.C. di Chirurgia Digestiva e del Colon-Retto, Fatebenefratelli Isola Tiberina-Gemelli Isola, Rome, Italy;U.O.C. di Chirurgia Digestiva, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy;U.O.C. di Endoscopia Digestiva, Fatebenefratelli Isola Tiberina-Gemelli Isola, Rome, Italy;U.O.C. di Oncologia Medica, Fatebenefratelli Isola Tiberina-Gemelli Isola, Rome, Italy;U.O.C. di Radioterapia Oncologica, Fatebenefratelli Isola Tiberina-Gemelli Isola, Rome, Italy;U.O.C. di Radioterapia Oncologica, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy;

关键词: radiomics;    gastric cancer;    lymph node metastasis;    predictive model;    systematic review;   

DOI  :  10.3389/fmed.2023.1189740

 received in 2023-03-19, accepted in 2023-07-27,  发布年份 2023

来源: Frontiers

【 摘 要 】

IntroductionGastric cancer (GC) is an aggressive and clinically heterogeneous tumor, and better risk stratification of lymph node metastasis (LNM) could lead to personalized treatments. The role of radiomics in the prediction of nodal involvement in GC has not yet been systematically assessed. This study aims to assess the role of radiomics in the prediction of LNM in GC.MethodsA PubMed/MEDLINE systematic review was conducted to assess the role of radiomics in LNM. The inclusion criteria were as follows: i. original articles, ii. articles on radiomics, and iii. articles on LNM prediction in GC. All articles were selected and analyzed by a multidisciplinary board of two radiation oncologists and one surgeon, under the supervision of one radiation oncologist, one surgeon, and one medical oncologist.ResultsA total of 171 studies were obtained using the search strategy mentioned on PubMed. After the complete selection process, a total of 20 papers were considered eligible for the analysis of the results. Radiomics methods were applied in GC to assess the LNM risk. The number of patients, imaging modalities, type of predictive models, number of radiomics features, TRIPOD classification, and performances of the models were reported.ConclusionsRadiomics seems to be a promising approach for evaluating the risk of LNM in GC. Further and larger studies are required to evaluate the clinical impact of the inclusion of radiomics in a comprehensive decision support system (DSS) for GC.

【 授权许可】

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Copyright © 2023 Miccichè, Rizzo, Casà, Leone, Quero, Boldrini, Bulajic, Corsi and Tondolo.