Na Young Lee, Eun Ji Lee, Seong Sook Hong, Jiyoung Hwang, Yun-Woo Chang, Eunsun Oh, Boda Nam, Jewon Jeong
{"title":"[应用模式识别方法对子宫病变的放射学评价]。","authors":"Na Young Lee, Eun Ji Lee, Seong Sook Hong, Jiyoung Hwang, Yun-Woo Chang, Eunsun Oh, Boda Nam, Jewon Jeong","doi":"10.3348/jksr.2022.0009","DOIUrl":null,"url":null,"abstract":"<p><p>It is important to distinguish uterine lesions from other lesions occurring in the pelvic cavity for the proper management. The primary radiological evaluation of uterine lesions is performed using transvaginal ultrasonography, and if the lesion is too large or shows atypical benign imaging findings, magnetic resonance imaging should be performed. Analyzing radiological findings of uterine lesions through a pattern recognition approach can help establish the accurate diagnosis and treatment plan. In this pictorial assay, we describe imaging characteristics of various lesions arising from the uterus and evaluate them based on the pattern recognition approach.</p>","PeriodicalId":17455,"journal":{"name":"Journal of the Korean Society of Radiology","volume":"84 1","pages":"127-149"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/de/c1/jksr-84-127.PMC9935953.pdf","citationCount":"0","resultStr":"{\"title\":\"[Radiologic Evaluation of Uterine Lesions Using a Pattern Recognition Approach].\",\"authors\":\"Na Young Lee, Eun Ji Lee, Seong Sook Hong, Jiyoung Hwang, Yun-Woo Chang, Eunsun Oh, Boda Nam, Jewon Jeong\",\"doi\":\"10.3348/jksr.2022.0009\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>It is important to distinguish uterine lesions from other lesions occurring in the pelvic cavity for the proper management. The primary radiological evaluation of uterine lesions is performed using transvaginal ultrasonography, and if the lesion is too large or shows atypical benign imaging findings, magnetic resonance imaging should be performed. Analyzing radiological findings of uterine lesions through a pattern recognition approach can help establish the accurate diagnosis and treatment plan. In this pictorial assay, we describe imaging characteristics of various lesions arising from the uterus and evaluate them based on the pattern recognition approach.</p>\",\"PeriodicalId\":17455,\"journal\":{\"name\":\"Journal of the Korean Society of Radiology\",\"volume\":\"84 1\",\"pages\":\"127-149\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/de/c1/jksr-84-127.PMC9935953.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of the Korean Society of Radiology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3348/jksr.2022.0009\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Korean Society of Radiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3348/jksr.2022.0009","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
[Radiologic Evaluation of Uterine Lesions Using a Pattern Recognition Approach].
It is important to distinguish uterine lesions from other lesions occurring in the pelvic cavity for the proper management. The primary radiological evaluation of uterine lesions is performed using transvaginal ultrasonography, and if the lesion is too large or shows atypical benign imaging findings, magnetic resonance imaging should be performed. Analyzing radiological findings of uterine lesions through a pattern recognition approach can help establish the accurate diagnosis and treatment plan. In this pictorial assay, we describe imaging characteristics of various lesions arising from the uterus and evaluate them based on the pattern recognition approach.