{"title":"基于多检测器计算机断层扫描的肾囊性病变Bosniak分类","authors":"B. Ibrahim, Alshimaa Mohammad Enayet, N. Metwally","doi":"10.4103/sjamf.sjamf_113_21","DOIUrl":null,"url":null,"abstract":"Objective The aim of this study was to evaluate the added value of multidetector computed tomography in the characterization of renal cystic lesions based on the Bosniak classification and compare the old with the new one (version 2019). Patients and methods A prospective study was carried out on 21 patients from the adult group of both sexes; their age ranged from 31 to 83 years. They referred from the Urology Department and clinic to the Radiology Department in Alzahraa University Hospital. The study was carried out from January 2020 to March 2021. Results The mean age of the patients was 56.7±13.76. The incidence of renal cysts was higher in age group greater than 50 years, with a male predominance. There were insignificant differences between old and new classifications by computed tomography. According to the nature of lesion class (I and II) the classification was as follows: there were 15 benign (51.7%), four class (IIF) lesions, probably benign, (13.8%), four class (III) indeterminate lesions (13.8%), and six malignant class (IV) lesions (20.7%). The pathology and diagnosis of the lesions of the studied group revealed that six lesions (20.7%) were renal cell carcinoma, six lesions (20.7%) were complicated cysts, two lesions (6.9%) were multilocular cystic nephroma, two lesions (6.9%) were autosomal dominant polycystic kidney disease, and 13 lesions (44.8%) were benign cortical simple cysts. Conclusion The Bosniak classification applied by multidetector computed tomography is a practical and accurate method to evaluate renal cystic lesions, also limiting the number of patients wrongly diagnosed with complex lesions and subjected to unnecessary surgeries.","PeriodicalId":22975,"journal":{"name":"The Scientific Journal of Al-Azhar Medical Faculty, Girls","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Bosniak classification of renal cystic lesions based on multidetector computed tomography\",\"authors\":\"B. Ibrahim, Alshimaa Mohammad Enayet, N. Metwally\",\"doi\":\"10.4103/sjamf.sjamf_113_21\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Objective The aim of this study was to evaluate the added value of multidetector computed tomography in the characterization of renal cystic lesions based on the Bosniak classification and compare the old with the new one (version 2019). Patients and methods A prospective study was carried out on 21 patients from the adult group of both sexes; their age ranged from 31 to 83 years. They referred from the Urology Department and clinic to the Radiology Department in Alzahraa University Hospital. The study was carried out from January 2020 to March 2021. Results The mean age of the patients was 56.7±13.76. The incidence of renal cysts was higher in age group greater than 50 years, with a male predominance. There were insignificant differences between old and new classifications by computed tomography. According to the nature of lesion class (I and II) the classification was as follows: there were 15 benign (51.7%), four class (IIF) lesions, probably benign, (13.8%), four class (III) indeterminate lesions (13.8%), and six malignant class (IV) lesions (20.7%). The pathology and diagnosis of the lesions of the studied group revealed that six lesions (20.7%) were renal cell carcinoma, six lesions (20.7%) were complicated cysts, two lesions (6.9%) were multilocular cystic nephroma, two lesions (6.9%) were autosomal dominant polycystic kidney disease, and 13 lesions (44.8%) were benign cortical simple cysts. Conclusion The Bosniak classification applied by multidetector computed tomography is a practical and accurate method to evaluate renal cystic lesions, also limiting the number of patients wrongly diagnosed with complex lesions and subjected to unnecessary surgeries.\",\"PeriodicalId\":22975,\"journal\":{\"name\":\"The Scientific Journal of Al-Azhar Medical Faculty, Girls\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The Scientific Journal of Al-Azhar Medical Faculty, Girls\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4103/sjamf.sjamf_113_21\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Scientific Journal of Al-Azhar Medical Faculty, Girls","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4103/sjamf.sjamf_113_21","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Bosniak classification of renal cystic lesions based on multidetector computed tomography
Objective The aim of this study was to evaluate the added value of multidetector computed tomography in the characterization of renal cystic lesions based on the Bosniak classification and compare the old with the new one (version 2019). Patients and methods A prospective study was carried out on 21 patients from the adult group of both sexes; their age ranged from 31 to 83 years. They referred from the Urology Department and clinic to the Radiology Department in Alzahraa University Hospital. The study was carried out from January 2020 to March 2021. Results The mean age of the patients was 56.7±13.76. The incidence of renal cysts was higher in age group greater than 50 years, with a male predominance. There were insignificant differences between old and new classifications by computed tomography. According to the nature of lesion class (I and II) the classification was as follows: there were 15 benign (51.7%), four class (IIF) lesions, probably benign, (13.8%), four class (III) indeterminate lesions (13.8%), and six malignant class (IV) lesions (20.7%). The pathology and diagnosis of the lesions of the studied group revealed that six lesions (20.7%) were renal cell carcinoma, six lesions (20.7%) were complicated cysts, two lesions (6.9%) were multilocular cystic nephroma, two lesions (6.9%) were autosomal dominant polycystic kidney disease, and 13 lesions (44.8%) were benign cortical simple cysts. Conclusion The Bosniak classification applied by multidetector computed tomography is a practical and accurate method to evaluate renal cystic lesions, also limiting the number of patients wrongly diagnosed with complex lesions and subjected to unnecessary surgeries.