Matteo Giorgi, Enrico Pazzaglia, Roberto Palermo, Alberto Aguzzi, Valeria De Gobbi, Linda Bertoldo, Margherita Grazi, Alice Martini, Alexandro Paccapelo, Gabriele Centini, Errico Zupi, Lucia Lazzeri, Giuseppe Vizzielli, Renato Seracchioli, Diego Raimondo
{"title":"经阴道超声检查b子宫腺肌症的学习曲线:CUSUM分析。","authors":"Matteo Giorgi, Enrico Pazzaglia, Roberto Palermo, Alberto Aguzzi, Valeria De Gobbi, Linda Bertoldo, Margherita Grazi, Alice Martini, Alexandro Paccapelo, Gabriele Centini, Errico Zupi, Lucia Lazzeri, Giuseppe Vizzielli, Renato Seracchioli, Diego Raimondo","doi":"10.1002/jum.70045","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>Adenomyosis is challenging to diagnose with transvaginal ultrasound (TVUS) and requires operator expertise to recognize its sonographic features; however, little is known about the learning curve for trainees. This study aimed to assess the learning curve of inexperienced residents in diagnosing adenomyosis and identifying its key ultrasound signs using the learning curve-cumulative summation test (LC-CUSUM) method.</p><p><strong>Methods: </strong>This prospective cohort study was conducted in 2 tertiary care centers specializing in endometriosis and adenomyosis. Women aged 18-50 undergoing routine outpatient gynecological visits and ultrasound examinations between April 2023 and February 2024 were included. TVUS exams were initially performed by residents without prior formal training in adenomyosis diagnosis. Each scan was subsequently repeated by an expert sonographer, who provided immediate feedback to the trainee. Concordance between residents and experts was assessed for the presence of adenomyosis, its classification, and specific sonographic features. LC-CUSUM analysis was used to construct learning curves and determine when proficiency was achieved.</p><p><strong>Results: </strong>A total of 150 patients were evaluated by 3 residents (50 each), with the sample size predetermined based on prior studies. All residents achieved diagnostic proficiency by the end of their training, requiring 16, 17, and 23 scans, respectively. LC-CUSUM analysis indicated that approximately 20 scans are needed to reach proficiency. While most key features were correctly identified, subendometrial lines/buds and diffuse inner myometrial involvement were more difficult to recognize consistently.</p><p><strong>Conclusions: </strong>Residents without prior experience can achieve proficiency in diagnosing and classifying adenomyosis after approximately 20 TVUS exams, though some features remain more challenging to detect.</p>","PeriodicalId":17563,"journal":{"name":"Journal of Ultrasound in Medicine","volume":" ","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2025-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Learning Curve of the Transvaginal Ultrasound Exam for Adenomyosis: A CUSUM Analysis.\",\"authors\":\"Matteo Giorgi, Enrico Pazzaglia, Roberto Palermo, Alberto Aguzzi, Valeria De Gobbi, Linda Bertoldo, Margherita Grazi, Alice Martini, Alexandro Paccapelo, Gabriele Centini, Errico Zupi, Lucia Lazzeri, Giuseppe Vizzielli, Renato Seracchioli, Diego Raimondo\",\"doi\":\"10.1002/jum.70045\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>Adenomyosis is challenging to diagnose with transvaginal ultrasound (TVUS) and requires operator expertise to recognize its sonographic features; however, little is known about the learning curve for trainees. This study aimed to assess the learning curve of inexperienced residents in diagnosing adenomyosis and identifying its key ultrasound signs using the learning curve-cumulative summation test (LC-CUSUM) method.</p><p><strong>Methods: </strong>This prospective cohort study was conducted in 2 tertiary care centers specializing in endometriosis and adenomyosis. Women aged 18-50 undergoing routine outpatient gynecological visits and ultrasound examinations between April 2023 and February 2024 were included. TVUS exams were initially performed by residents without prior formal training in adenomyosis diagnosis. Each scan was subsequently repeated by an expert sonographer, who provided immediate feedback to the trainee. Concordance between residents and experts was assessed for the presence of adenomyosis, its classification, and specific sonographic features. LC-CUSUM analysis was used to construct learning curves and determine when proficiency was achieved.</p><p><strong>Results: </strong>A total of 150 patients were evaluated by 3 residents (50 each), with the sample size predetermined based on prior studies. All residents achieved diagnostic proficiency by the end of their training, requiring 16, 17, and 23 scans, respectively. LC-CUSUM analysis indicated that approximately 20 scans are needed to reach proficiency. While most key features were correctly identified, subendometrial lines/buds and diffuse inner myometrial involvement were more difficult to recognize consistently.</p><p><strong>Conclusions: </strong>Residents without prior experience can achieve proficiency in diagnosing and classifying adenomyosis after approximately 20 TVUS exams, though some features remain more challenging to detect.</p>\",\"PeriodicalId\":17563,\"journal\":{\"name\":\"Journal of Ultrasound in Medicine\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2025-09-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Ultrasound in Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1002/jum.70045\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ACOUSTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Ultrasound in Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/jum.70045","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ACOUSTICS","Score":null,"Total":0}
Learning Curve of the Transvaginal Ultrasound Exam for Adenomyosis: A CUSUM Analysis.
Objectives: Adenomyosis is challenging to diagnose with transvaginal ultrasound (TVUS) and requires operator expertise to recognize its sonographic features; however, little is known about the learning curve for trainees. This study aimed to assess the learning curve of inexperienced residents in diagnosing adenomyosis and identifying its key ultrasound signs using the learning curve-cumulative summation test (LC-CUSUM) method.
Methods: This prospective cohort study was conducted in 2 tertiary care centers specializing in endometriosis and adenomyosis. Women aged 18-50 undergoing routine outpatient gynecological visits and ultrasound examinations between April 2023 and February 2024 were included. TVUS exams were initially performed by residents without prior formal training in adenomyosis diagnosis. Each scan was subsequently repeated by an expert sonographer, who provided immediate feedback to the trainee. Concordance between residents and experts was assessed for the presence of adenomyosis, its classification, and specific sonographic features. LC-CUSUM analysis was used to construct learning curves and determine when proficiency was achieved.
Results: A total of 150 patients were evaluated by 3 residents (50 each), with the sample size predetermined based on prior studies. All residents achieved diagnostic proficiency by the end of their training, requiring 16, 17, and 23 scans, respectively. LC-CUSUM analysis indicated that approximately 20 scans are needed to reach proficiency. While most key features were correctly identified, subendometrial lines/buds and diffuse inner myometrial involvement were more difficult to recognize consistently.
Conclusions: Residents without prior experience can achieve proficiency in diagnosing and classifying adenomyosis after approximately 20 TVUS exams, though some features remain more challenging to detect.
期刊介绍:
The Journal of Ultrasound in Medicine (JUM) is dedicated to the rapid, accurate publication of original articles dealing with all aspects of medical ultrasound, particularly its direct application to patient care but also relevant basic science, advances in instrumentation, and biological effects. The journal is an official publication of the American Institute of Ultrasound in Medicine and publishes articles in a variety of categories, including Original Research papers, Review Articles, Pictorial Essays, Technical Innovations, Case Series, Letters to the Editor, and more, from an international bevy of countries in a continual effort to showcase and promote advances in the ultrasound community.
Represented through these efforts are a wide variety of disciplines of ultrasound, including, but not limited to:
-Basic Science-
Breast Ultrasound-
Contrast-Enhanced Ultrasound-
Dermatology-
Echocardiography-
Elastography-
Emergency Medicine-
Fetal Echocardiography-
Gastrointestinal Ultrasound-
General and Abdominal Ultrasound-
Genitourinary Ultrasound-
Gynecologic Ultrasound-
Head and Neck Ultrasound-
High Frequency Clinical and Preclinical Imaging-
Interventional-Intraoperative Ultrasound-
Musculoskeletal Ultrasound-
Neurosonology-
Obstetric Ultrasound-
Ophthalmologic Ultrasound-
Pediatric Ultrasound-
Point-of-Care Ultrasound-
Public Policy-
Superficial Structures-
Therapeutic Ultrasound-
Ultrasound Education-
Ultrasound in Global Health-
Urologic Ultrasound-
Vascular Ultrasound