{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,3]],"date-time":"2026-09-03T17:45:54Z","timestamp":1788457554970,"version":"build-2803163510"},"reference-count":39,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2025,2,12]],"date-time":"2025-02-12T00:00:00Z","timestamp":1739318400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Cancers"],"abstract":"<jats:p>Background\/Objectives: Differentiating between benign and malignant parotid gland tumors (PGT) is essential for establishing the treatment strategy, which is greatly influenced by the tumor\u2019s histology. The objective of this study was to evaluate the role of MRI-based radiomics in the differentiation between Warthin\u2019s tumors (WT) and malignant tumors (MT), two entities that proved to present overlapping imaging features on conventional and functional MRI sequences. Methods: In this retrospective study, a total of 106 PGT (66 WT, 40 MT) with confirmed histology were eligible for radiomic analysis, which were randomly split into a training group (79 PGT; 49 WT; 30 MT) and a testing group (27 PGT; 17 WT, 10 MT). The radiomic features were extracted from 3D segmentations of PGT performed on the following sequences: PROPELLER T2-weighted images and the ADC map, using a dedicated software. First- and second-order features were derived for each lesion, using original and filtered images. Results: After employing several feature reduction techniques, including LASSO regression, three final radiomic parameters were identified to be the most significant in distinguishing between the two studied groups, with fair AUC values that ranged between 0.703 and 0.767. All three radiomic features were used to construct a Radiomic Score that presented the highest diagnostic performance in distinguishing between WT and MT, achieving an AUC of 0.785 in the training set, and 0.741 in the testing set. Conclusions: MRI-based radiomic features have the potential to serve as promising novel imaging biomarkers for discriminating between Warthin\u2019s tumors and malignant tumors in the parotid gland. Nevertheless, it is still to prove how radiomic features can consistently achieve higher diagnostic performance, and if they can outperform alternative imaging methods, ideally in larger, multicentric studies.<\/jats:p>","DOI":"10.3390\/cancers17040620","type":"journal-article","created":{"date-parts":[[2025,2,12]],"date-time":"2025-02-12T10:25:57Z","timestamp":1739355957000},"page":"620","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["The Role of MRI Radiomics Using T2-Weighted Images and the Apparent Diffusion Coefficient Map for Discriminating Between Warthin\u2019s Tumors and Malignant Parotid Gland Tumors"],"prefix":"10.3390","volume":"17","author":[{"given":"Delia Doris","family":"Donci","sequence":"first","affiliation":[{"name":"Radiology and Imaging Department, Iuliu Ha\u021bieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Carolina","family":"Solomon","sequence":"additional","affiliation":[{"name":"Radiology and Imaging Department, Iuliu Ha\u021bieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mihaela","family":"B\u0103ciu\u021b","sequence":"additional","affiliation":[{"name":"Oro-Maxillo-Facial Surgery Department, Iuliu Ha\u021bieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cristian","family":"Dinu","sequence":"additional","affiliation":[{"name":"Oro-Maxillo-Facial Surgery Department, Iuliu Ha\u021bieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5708-0780","authenticated-orcid":false,"given":"Sebastian","family":"Stoia","sequence":"additional","affiliation":[{"name":"Oro-Maxillo-Facial Surgery Department, Iuliu Ha\u021bieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Georgeta Mihaela","family":"Rusu","sequence":"additional","affiliation":[{"name":"Radiology and Imaging Department, Iuliu Ha\u021bieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Csaba","family":"Csutak","sequence":"additional","affiliation":[{"name":"Radiology and Imaging Department, Iuliu Ha\u021bieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lavinia Manuela","family":"Lenghel","sequence":"additional","affiliation":[{"name":"Radiology and Imaging Department, Iuliu Ha\u021bieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anca","family":"Ciurea","sequence":"additional","affiliation":[{"name":"Radiology and Imaging Department, Iuliu Ha\u021bieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,2,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1007\/s00405-008-0882-7","article-title":"Current update on established and novel biomarkers in salivary gland carcinoma pathology and the molecular pathways involved","volume":"266","author":"Stenner","year":"2009","journal-title":"Eur. 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