基于多检测器计算机断层扫描的肾囊性病变Bosniak分类

B. Ibrahim, Alshimaa Mohammad Enayet, N. Metwally
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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. 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摘要

目的评价基于Bosniak分级的多探测器计算机断层扫描在肾囊性病变诊断中的附加价值,并对新旧分级(2019版)进行比较。患者与方法对21例成年男女患者进行前瞻性研究;他们的年龄从31岁到83岁不等。他们从泌尿科和诊所转到阿尔扎赫拉大学医院的放射科。该研究于2020年1月至2021年3月进行。结果患者平均年龄56.7±13.76岁。肾囊肿的发病率在50岁以上年龄组中较高,且以男性为主。新旧ct分类差异不显著。根据病变(I、II)级的性质,分类如下:良性15例(51.7%),可能为良性(IIF)级病变4例(13.8%),III级(13.8%)不确定病变4例(13.8%),恶性(IV)级病变6例(20.7%)。本组病变病理及诊断结果显示:肾细胞癌6例(20.7%),复杂性囊肿6例(20.7%),多房性囊性肾瘤2例(6.9%),常染色体显性多囊性肾病2例(6.9%),良性皮质单纯性囊肿13例(44.8%)。结论多探测器计算机断层扫描应用Bosniak分级是一种实用、准确的评价肾囊性病变的方法,同时也减少了误诊为复杂病变而进行不必要手术的病例。
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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.
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