Karabacak Osman Raif, Cakmakci Esin, Ozturk Ufuk, Demirel Fuat, Dilli Alper, Hekimoglu Baki, Altug Ugur
Ministry of Health, Ankara Dışkapı Yıldırım Beyazit Education and Research Hospital, Department of Urology, Ankara, Turkey.
Can Urol Assoc J. 2011 Feb;5(1):34-7. doi: 10.5489/cuaj.10002.
Our objective was to assess the accuracy of computed tomographic virtual cystoscopy (CTVC) in the detection of urinary bladder lesions.
Twenty-five patients were examined using CTVC. Bladder scanned using multislice CT at a slice thickness of 1 mm. The data were transferred to a workstation for interactive navigation using surface rendering. Findings obtained from CTVC were compared with results from conventional cystoscopy and with pathological findings.
Thirty-eight lesions were identified. The smallest was 0.2 × 0.3 cm; the largest was 7 × 4.5 cm. Both CTVC and conventional cystoscopy were used. Conventional cystoscopy detected the same number of lesions that were detected by CTVC. On morphological examination, 26 of the lesions were polypoid, 7 were sessile and 5 were bladder wall-thickening. While one of the polypoid lesions was reported as an inverted papilloma, 2 of the 5 lesions that were identified as wall-thickening were malignant and 3 were benign. The sensitivity of using CTVC to identify neoplasias was 100%; the accuracy was 89%.
Although the definitive diagnosis of some suspected urinary bladder tumours is only possible with conventional cystoscopy and biopsy, CTVC is a minimally invasive technique which provides beneficial information about urinary bladder lesions.
我们的目的是评估计算机断层扫描虚拟膀胱镜检查(CTVC)在检测膀胱病变方面的准确性。
对25例患者进行CTVC检查。使用多层螺旋CT以1毫米的层厚扫描膀胱。数据被传输到工作站,使用表面渲染进行交互式导航。将CTVC获得的结果与传统膀胱镜检查结果及病理结果进行比较。
共识别出38个病变。最小的病变为0.2×0.3厘米;最大的为7×4.5厘米。同时使用了CTVC和传统膀胱镜检查。传统膀胱镜检查检测出的病变数量与CTVC检测出的相同。在形态学检查中,26个病变为息肉样,7个为无蒂,5个为膀胱壁增厚。虽然其中一个息肉样病变被报告为内翻性乳头状瘤,但在被确定为壁增厚的5个病变中,有2个为恶性,3个为良性。使用CTVC识别肿瘤的敏感性为100%;准确性为89%。
虽然一些疑似膀胱肿瘤的明确诊断只有通过传统膀胱镜检查和活检才能实现,但CTVC是一种微创技术,可为膀胱病变提供有益信息。