{"title":"Diagnosis of Salivary Gland Tumors Using Ultrasound Radiomics.","authors":"Ping-Chia Cheng, Wu-Chia Lo, Li-Jen Liao, Huihua Kenny Chiang","doi":"10.1016/j.ultrasmedbio.2025.01.008","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>The current diagnosis of salivary gland tumors (SGTs) is dependent on subjective ultrasound features. Here we aimed to develop an objective method using ultrasound radiomics.</p><p><strong>Methods: </strong>We collected 248 benign and 46 malignant images and divided them into training (80%) and testing (20%) groups, with 105 radiomic features extracted from each image. Data re-sampling, feature selection and classification were conducted. The diagnostic accuracy of different combinations was evaluated.</p><p><strong>Results: </strong>After data re-sampling using the Synthetic Minority Over Sampling Technique (SMOTE) and feature selection with LASSO+ANOVA, 10 radiomic features were selected. Using the Random Forest classifier, the testing set achieved an area under the receiver operating characteristic curve of 0.85, accuracy of 90%, sensitivity of 78% and specificity of 92% for diagnosing SGTs. It maintained an accuracy of 85% in a separate internal validation set.</p><p><strong>Conclusion: </strong>This study offers significant insights into the use of radiomics for the diagnosis of SGTs. When selected properly and paired with a suitable classification model, radiomics can be used to differentiate between benign and malignant SGTs.</p>","PeriodicalId":49399,"journal":{"name":"Ultrasound in Medicine and Biology","volume":" ","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ultrasound in Medicine and Biology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.ultrasmedbio.2025.01.008","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ACOUSTICS","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: The current diagnosis of salivary gland tumors (SGTs) is dependent on subjective ultrasound features. Here we aimed to develop an objective method using ultrasound radiomics.
Methods: We collected 248 benign and 46 malignant images and divided them into training (80%) and testing (20%) groups, with 105 radiomic features extracted from each image. Data re-sampling, feature selection and classification were conducted. The diagnostic accuracy of different combinations was evaluated.
Results: After data re-sampling using the Synthetic Minority Over Sampling Technique (SMOTE) and feature selection with LASSO+ANOVA, 10 radiomic features were selected. Using the Random Forest classifier, the testing set achieved an area under the receiver operating characteristic curve of 0.85, accuracy of 90%, sensitivity of 78% and specificity of 92% for diagnosing SGTs. It maintained an accuracy of 85% in a separate internal validation set.
Conclusion: This study offers significant insights into the use of radiomics for the diagnosis of SGTs. When selected properly and paired with a suitable classification model, radiomics can be used to differentiate between benign and malignant SGTs.
期刊介绍:
Ultrasound in Medicine and Biology is the official journal of the World Federation for Ultrasound in Medicine and Biology. The journal publishes original contributions that demonstrate a novel application of an existing ultrasound technology in clinical diagnostic, interventional and therapeutic applications, new and improved clinical techniques, the physics, engineering and technology of ultrasound in medicine and biology, and the interactions between ultrasound and biological systems, including bioeffects. Papers that simply utilize standard diagnostic ultrasound as a measuring tool will be considered out of scope. Extended critical reviews of subjects of contemporary interest in the field are also published, in addition to occasional editorial articles, clinical and technical notes, book reviews, letters to the editor and a calendar of forthcoming meetings. It is the aim of the journal fully to meet the information and publication requirements of the clinicians, scientists, engineers and other professionals who constitute the biomedical ultrasonic community.