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패턴 인식 접근법을 기반으로 한 자궁병변의 영상의학적 평가

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...

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Detalles Bibliográficos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Radiology 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9935953/
https://www.ncbi.nlm.nih.gov/pubmed/36818713
http://dx.doi.org/10.3348/jksr.2022.0009
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description 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.
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spelling pubmed-99359532023-02-18 패턴 인식 접근법을 기반으로 한 자궁병변의 영상의학적 평가 J Korean Soc Radiol Genitourinary Imaging 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. The Korean Society of Radiology 2023-01 2023-01-18 /pmc/articles/PMC9935953/ /pubmed/36818713 http://dx.doi.org/10.3348/jksr.2022.0009 Text en Copyrights © 2023 The Korean Society of Radiology https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Genitourinary Imaging
패턴 인식 접근법을 기반으로 한 자궁병변의 영상의학적 평가
title 패턴 인식 접근법을 기반으로 한 자궁병변의 영상의학적 평가
title_full 패턴 인식 접근법을 기반으로 한 자궁병변의 영상의학적 평가
title_fullStr 패턴 인식 접근법을 기반으로 한 자궁병변의 영상의학적 평가
title_full_unstemmed 패턴 인식 접근법을 기반으로 한 자궁병변의 영상의학적 평가
title_short 패턴 인식 접근법을 기반으로 한 자궁병변의 영상의학적 평가
title_sort 패턴 인식 접근법을 기반으로 한 자궁병변의 영상의학적 평가
topic Genitourinary Imaging
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9935953/
https://www.ncbi.nlm.nih.gov/pubmed/36818713
http://dx.doi.org/10.3348/jksr.2022.0009
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