利用 MDCT 尿路造影术调查印度年轻成年人的血尿情况。

IF 1.9
Bioinformation Pub Date : 2024-07-31 eCollection Date: 2024-01-01 DOI:10.6026/973206300200794
Mohammed Musheer Ahmed, Holebasu B, Yogesh S, Prashanth A, Naveen Kumar Nallathambi, Arun K, Gaurav Mittal
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引用次数: 0

摘要

血尿可能提示膀胱癌、肾细胞癌、UT-UCC 或尿路结石。因此,使用多载体计算机断层扫描(MDCT)来确定儿童血尿的原因,并将 MDCT 结果与膀胱镜检查和组织学检查结果联系起来是很有意义的。这项研究包括 110 名 40 岁以下、患有显微镜或镜下血尿的年轻人。研究人员记录了临床检查和完整病史。正确记录了非对比和对比增强扫描的 MDCT 数据。组织病理学和膀胱镜检查结果与 MDCT 数据同时记录在案。该研究的典型患者年龄为 26 岁,66% 为男性。80例患者的病因是血尿。在 80 例患者中,有 66 例最常见的临床相关结果是肾结石或输尿管结石。有四个肾肿块和四个输尿管肿块。发现两例肾乳头坏死和四例肾盂肾炎/肾脓肿。MDCT诊断肾脏和膀胱肿块的准确率为100%。一项研究表明,MDCT 可以诊断和治疗血尿,尤其是年轻男性。研究结果强调了临床意识和有针对性的诊断。需要进一步研究确定不同人群的血尿原因和预防措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigating hematuria among young Indian adults using MDCT urography.

Hematuria may suggest bladder cancer, renal cell carcinoma, UUT-UCC, or urinary tract stones. Therefore, it is of interest to use Multi-Detector Computed Tomography (MDCT) to determine the cause of hematuria in children and connect MDCT results with cystoscopic and histological findings. The study included 110 young people under 40 with microscopic or macroscopic hematuria. A clinical exam and complete history were recorded. MDCT data from non-contrast and contrast-enhanced scans were properly documented. Histopathological and cystoscopic findings were noted alongside MDCT data when appropriate. The study's typical patient was 26 years old, 66% male. Eighty of the cases had hematuria as the cause. In 66 of 80 individuals, renal or ureteric calculi were the most common clinically relevant outcomes. There were four renal and four UB masses. Two cases of renal papillary necrosis and four of pyelonephritis/renal abscess were identified. MDCT diagnosed renal and vesical masses 100% accurately. MDCT can diagnose and treat hematuria, especially in young men, according to one study. The findings emphasize clinical awareness and targeted diagnosis. Further research is needed to determine hematuria causes and prevention across demographics.

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Bioinformation
Bioinformation MATHEMATICAL & COMPUTATIONAL BIOLOGY-
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