{"title":"Pilot Clinical and Radiomic Analysis of Deep Infiltrating Endometriosis of the Parametrium Using Shannon Entropy: A Retrospective Cohort Study","authors":"Umberto Scovazzi , Anjeza Xholli , Maria Giulia Schiaffino , Filippo Molinari , Isabella Perugi , Elvira Primizia , Angelo Cagnacci , Ambrogio Pietro Londero","doi":"10.1016/j.ultrasmedbio.2025.03.004","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><div>Ultrasound techniques for diagnosing deep infiltrating endometriosis (DIE) currently lack a quantitative method to assess microstructural heterogeneity in relation to diagnosis and clinical symptoms. This study evaluates Shannon entropy–based radiomics for differentiating DIE lesions from adjacent tissue and correlating these features with pain severity.</div></div><div><h3>Methods</h3><div>In this retrospective cohort study (2020–2024), fertile women with histologically confirmed parametrial endometriosis and high-quality ultrasound images were evaluated. Pain was measured using a 10-cm visual analog scale. Two 25 mm² regions of interest (ROIs) were defined: one within the DIE nodule and one in the adjacent perilesional tissue. Each ROI was analyzed with the Shannon entropy algorithm to assess tissue heterogeneity.</div></div><div><h3>Results</h3><div>In this study, 148/663 women (22.3%) were diagnosed with parametrial DIE, of whom 52 underwent surgery and were included in the study. DIE was localized in 92.3% in the posterior, in 5.8% in both posterior and anterior, and in 2% in the anterior parametrium. Primary symptoms were menstrual pain (88%) and pain at intercourse (63%). ROI entropy of DIE lesion was lower than that of the perilesional ROI (<em>p</em> = 0.05). The area-under-the-curve (AUC) of Shannon entropy for endometriotic vs. adjacent tissue was 91.36% (95% CI: 84.5%–98.21%). The ROI entropy of the DIE lesion exhibited an inverse correlation with menstrual pain (rho −0.46, CI 95% −0.74/−0.12, <em>p</em> = 0.025), and that of perilesional tissue with chronic pelvic pain (rho −0.41, 95% CI −0.73/- 0.04; <em>p</em> = 0.072).</div></div><div><h3>Conclusion</h3><div>Entropy analysis distinguishes DIE lesion from perilesional tissue and significantly correlates with menstrual pain.</div></div>","PeriodicalId":49399,"journal":{"name":"Ultrasound in Medicine and Biology","volume":"51 7","pages":"Pages 1078-1083"},"PeriodicalIF":2.4000,"publicationDate":"2025-04-11","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://www.sciencedirect.com/science/article/pii/S0301562925000821","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
Ultrasound techniques for diagnosing deep infiltrating endometriosis (DIE) currently lack a quantitative method to assess microstructural heterogeneity in relation to diagnosis and clinical symptoms. This study evaluates Shannon entropy–based radiomics for differentiating DIE lesions from adjacent tissue and correlating these features with pain severity.
Methods
In this retrospective cohort study (2020–2024), fertile women with histologically confirmed parametrial endometriosis and high-quality ultrasound images were evaluated. Pain was measured using a 10-cm visual analog scale. Two 25 mm² regions of interest (ROIs) were defined: one within the DIE nodule and one in the adjacent perilesional tissue. Each ROI was analyzed with the Shannon entropy algorithm to assess tissue heterogeneity.
Results
In this study, 148/663 women (22.3%) were diagnosed with parametrial DIE, of whom 52 underwent surgery and were included in the study. DIE was localized in 92.3% in the posterior, in 5.8% in both posterior and anterior, and in 2% in the anterior parametrium. Primary symptoms were menstrual pain (88%) and pain at intercourse (63%). ROI entropy of DIE lesion was lower than that of the perilesional ROI (p = 0.05). The area-under-the-curve (AUC) of Shannon entropy for endometriotic vs. adjacent tissue was 91.36% (95% CI: 84.5%–98.21%). The ROI entropy of the DIE lesion exhibited an inverse correlation with menstrual pain (rho −0.46, CI 95% −0.74/−0.12, p = 0.025), and that of perilesional tissue with chronic pelvic pain (rho −0.41, 95% CI −0.73/- 0.04; p = 0.072).
Conclusion
Entropy analysis distinguishes DIE lesion from perilesional tissue and significantly correlates with menstrual pain.
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.