Radiomics in Hypopharyngeal Cancer Management: A State-of-the-Art Review †

Affiliation
Otorhinolaryngology-Head & Neck Surgery Department, Hospital Universitario Donostia, Biodonostia Research Institute, Faculty of Medicine, Deusto University, 20014 San Sebastian, Spain
Chiesa-Estomba, Carlos M.;
ORCID
0000-0002-1829-6597
Affiliation
Otorhinolaryngology-Head and Neck Surgery Department, Complexo Hospitalario Universitario A Coruña (CHUAC), 15006 A Coruña, Spain
Mayo-Yanez, Miguel;
GND
1078441464
ORCID
0000-0001-9671-0784
Affiliation
Department of Otorhinolaryngology, Jena University Hospital, 07743 Jena, Germany
Guntinas-Lichius, Orlando;
ORCID
0000-0003-1341-829X
Affiliation
Section Head and Neck Oncology, Department of Oncology, KU Leuven—University of Leuven, 3000 Leuven, Belgium
Vander-Poorten, Vincent;
Affiliation
Department of Otolaryngology/Head and Neck Surgery, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands
Takes, Robert P.;
ORCID
0000-0001-7128-5814
Affiliation
Department of Head and Neck Surgical Oncology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands
de Bree, Remco;
ORCID
0000-0003-2460-2260
Affiliation
Department of Otorhinolaryngology/Head and Neck Surgery, University Medical Center Groningen, University of Groningen, 9712 CP Groningen, The Netherlands
Halmos, Gyorgy B.;
ORCID
0000-0003-4972-1477
Affiliation
Department of Hematology and Medical Oncology, The Winship Cancer Institute, Emory University, Atlanta, GA 30322, USA
Saba, Nabil F.;
ORCID
0000-0002-5540-4796
Affiliation
Department of Radiation Oncology, University Hospitals Leuven, KU Leuven—University of Leuven, 3000 Leuven, Belgium
Nuyts, Sandra;
ORCID
0000-0002-8247-8002
Affiliation
Coordinator of the International Head and Neck Scientific Group, 35125 Padua, Italy
Ferlito, Alfio

(1) Background: Hypopharyngeal squamous cell carcinomas usually present with locally advanced disease and a correspondingly poor prognosis. Currently, efforts are being made to improve tumor characterization and provide insightful information for outcome prediction. Radiomics is an emerging area of study that involves the conversion of medical images into mineable data; these data are then used to extract quantitative features based on shape, intensity, texture, and other parameters; (2) Methods: A systematic review of the peer-reviewed literature was conducted; (3) Results: A total of 437 manuscripts were identified. Fifteen manuscripts met the inclusion criteria. The main targets described were the evaluation of textural features to determine tumor-programmed death-ligand 1 expression; a surrogate for microvessel density and heterogeneity of perfusion; patient stratification into groups at high and low risk of progression; prediction of early recurrence, 1-year locoregional failure and survival outcome, including progression-free survival and overall survival, in patients with locally advanced HPSCC; thyroid cartilage invasion, early disease progression, recurrence, induction chemotherapy response, treatment response, and prognosis; and (4) Conclusions: our findings suggest that radiomics represents a potentially useful tool in the diagnostic workup as well as during the treatment and follow-up of patients with HPSCC. Large prospective studies are essential to validate this technology in these patients.

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