Radiomics-based machine learning for the diagnosis of lymph node metastases in patients with head and neck cancer: Systematic review.

Autor: Giannitto C; Department of Diagnostic Radiology, IRCCS Humanitas Research Hospital, Milan, Italy.; Department of Biomedical Sciences, Humanitas University, Milan, Italy., Mercante G; Department of Biomedical Sciences, Humanitas University, Milan, Italy.; Otorhinolaryngology Unit, IRCCS Humanitas Research Hospital, Milan, Italy., Ammirabile A; Department of Diagnostic Radiology, IRCCS Humanitas Research Hospital, Milan, Italy.; Department of Biomedical Sciences, Humanitas University, Milan, Italy., Cerri L; Department of Biomedical Sciences, Humanitas University, Milan, Italy., De Giorgi T; Department of Diagnostic Radiology, IRCCS Humanitas Research Hospital, Milan, Italy.; Department of Biomedical Sciences, Humanitas University, Milan, Italy., Lofino L; Department of Diagnostic Radiology, IRCCS Humanitas Research Hospital, Milan, Italy.; Department of Biomedical Sciences, Humanitas University, Milan, Italy., Vatteroni G; Department of Diagnostic Radiology, IRCCS Humanitas Research Hospital, Milan, Italy.; Department of Biomedical Sciences, Humanitas University, Milan, Italy., Casiraghi E; Department of Computer Science (DI), University of Milan, Milan, Italy., Marra S; Department of Biomedical Sciences, Humanitas University, Milan, Italy., Esposito AA; Department of Diagnostic Radiology, ASST Bergamo Ovest, Treviglio, BG, Italy., De Virgilio A; Department of Biomedical Sciences, Humanitas University, Milan, Italy.; Otorhinolaryngology Unit, IRCCS Humanitas Research Hospital, Milan, Italy., Costantino A; Department of Biomedical Sciences, Humanitas University, Milan, Italy.; Otorhinolaryngology Unit, IRCCS Humanitas Research Hospital, Milan, Italy., Ferreli F; Department of Biomedical Sciences, Humanitas University, Milan, Italy.; Otorhinolaryngology Unit, IRCCS Humanitas Research Hospital, Milan, Italy., Savevski V; Humanitas AI Center, Humanitas Research Hospital, Rozzano, Italy., Spriano G; Department of Biomedical Sciences, Humanitas University, Milan, Italy.; Otorhinolaryngology Unit, IRCCS Humanitas Research Hospital, Milan, Italy., Balzarini L; Department of Diagnostic Radiology, IRCCS Humanitas Research Hospital, Milan, Italy.
Jazyk: angličtina
Zdroj: Head & neck [Head Neck] 2023 Feb; Vol. 45 (2), pp. 482-491. Date of Electronic Publication: 2022 Nov 08.
DOI: 10.1002/hed.27239
Abstrakt: Machine learning (ML) is increasingly used to detect lymph node (LN) metastases in head and neck (H&N) carcinoma. We systematically reviewed the literature on radiomic-based ML for the detection of pathological LNs in H&N cancer. A systematic review was conducted in PubMed, EMBASE, and the Cochrane Library. Baseline study characteristics and methodological quality items (modeling, performance evaluation, clinical utility, and transparency items) were extracted and evaluated. The qualitative synthesis is presented using descriptive statistics. Seven studies were included in this study. Overall, the methodological quality items were generally favorable for modeling (57% of studies). The studies were mostly unsuccessful in terms of transparency (85.7%), evaluation of clinical utility (71.3%), and assessment of generalizability employing independent or external validation (72.5%). ML may be able to predict LN metastases in H&N cancer. Further studies are warranted to improve the generalizability assessment, clinical utility evaluation, and transparency items.
(© 2022 Wiley Periodicals LLC.)
Databáze: MEDLINE
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