Bibliographic Details
| Title: |
The Role of MRI Radiomics Using T2-Weighted Images and the Apparent Diffusion Coefficient Map for Discriminating Between Warthin's Tumors and Malignant Parotid Gland Tumors. |
| Authors: |
Donci, Delia Doris1 (AUTHOR), Solomon, Carolina1 (AUTHOR) carolina.solomon@umfcluj.ro, Băciuț, Mihaela2 (AUTHOR), Dinu, Cristian2 (AUTHOR), Stoia, Sebastian2 (AUTHOR), Rusu, Georgeta Mihaela1 (AUTHOR), Csutak, Csaba1 (AUTHOR), Lenghel, Lavinia Manuela1 (AUTHOR), Ciurea, Anca1 (AUTHOR) |
| Source: |
Cancers. Feb2025, Vol. 17 Issue 4, p620. 13p. |
| Subject Terms: |
*DIFFERENTIAL diagnosis, *THREE-dimensional imaging, *RADIOMICS, *MAGNETIC resonance imaging, *RETROSPECTIVE studies, *CANCER cells, *MEDICAL records, *ACQUISITION of data, *HISTOLOGICAL techniques, *PAROTID glands, *PICTURE archiving & communication systems, *BIOMARKERS, HOSPITAL information systems, PAROTID gland tumors |
| Geographic Terms: |
ROMANIA |
| Abstract: |
Simple Summary: Radiomics is an innovative quantitative post-processing imaging technique that enables the extraction and analysis of textural information from medical images that are not discernible through simple visual assessment. The current gold standard imaging method to diagnose parotid gland tumors is the multiparametric MRI. However, there are still significant overlapping MRI features between various tumor types, especially between Warthin's tumor and malignant tumors. Therefore, this study aims to assess the potential role of MRI radiomics in this current issue. 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's histology. The objective of this study was to evaluate the role of MRI-based radiomics in the differentiation between Warthin's 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's 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. [ABSTRACT FROM AUTHOR] |
|
Copyright of Cancers is the property of MDPI and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Academic Search Complete |
|
Full text is not displayed to guests. |
Login for full access.
|
