Virtual cystoscopy in the evaluation of bladder tumors

被引:34
作者
Yazgan, C [1 ]
Fitoz, S [1 ]
Atasoy, C [1 ]
Turkolmez, K [1 ]
Yagci, C [1 ]
Akyar, S [1 ]
机构
[1] Ankara Univ, Fac Med, Ibni Sina Hosp, Dept Radiol, TR-06100 Ankara, Turkey
关键词
bladder neoplasms; CT; computed tomography (CT); helical; computers; diagnostic aid; virtual reality imaging;
D O I
10.1016/S0899-7071(03)00117-7
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Objective: The objective of this study was to investigate the value of contrast material-filled virtual cystoscopy in the detection of bladder tumors. Materials and methods: Thirty-nine patients who had recent diagnosis or were followed up due to priory history of bladder tumor underwent virtual cystoscopy. After the intravenous injection of contrast medium, the bladder was examined with helical computed tomography (CT) scan. The data were transferred to a workstation for interactive navigation using surface rendering. Two radiologists independently interpreted the axial and virtual images, and discrepancies were resolved by consensus. The results of virtual cystoscopy were compared with the findings of conventional cystoscopy. Results: Forty-nine of 54 bladder lesions detected with conventional cystoscopy in 33 patients were also shown on virtual images. On virtual cystoscopy, three of the seven lesions 5 mm or smaller in diameter could be identified. There were no false-positive findings. The sensitivity of the technique was 96.2% for polypoid tumors and 88.9% for sessile lesions. When axial and virtual images were evaluated together, the sensitivity rate increased to 94.4%. Conclusion: Bladder tumors can be diagnosed noninvasively using contrast medium-filled virtual cystoscopy. Evaluation of both the axial and virtual images increases the sensitivity of the technique. (C) 2004 Elsevier Inc. All rights reserved.
引用
收藏
页码:138 / 142
页数:5
相关论文
共 12 条
[1]  
Allan J D, 2001, Curr Opin Urol, V11, P189, DOI 10.1097/00042307-200103000-00010
[2]   Virtual cystoscopy of the bladder based on CT and MRI data [J].
Bernhardt, TM ;
Rapp-Bernhardt, U .
ABDOMINAL IMAGING, 2001, 26 (03) :325-332
[3]   Virtual cystoscopy: Early clinical experience [J].
Fenlon, HM ;
Bell, TV ;
Ahari, HK ;
Hussain, S .
RADIOLOGY, 1997, 205 (01) :272-275
[4]  
Gualdi G F, 1999, Radiol Med, V97, P506
[5]   Thin-section helical computed tomography of the bladder: Initial clinical experience with virtual reality imaging [J].
Hussain, S ;
Loeffler, JA ;
Babayan, RK ;
Fenlon, HM .
UROLOGY, 1997, 50 (05) :685-688
[6]   Virtual cystoscopy of the contrast material-filled bladder in patients with gross hematuria [J].
Kim, JK ;
Ahn, JH ;
Park, T ;
Ahn, HJ ;
Kim, CS ;
Cho, KS .
AMERICAN JOURNAL OF ROENTGENOLOGY, 2002, 179 (03) :763-768
[7]   Virtual cystoscopy based on helical CT scan datasets:: perspectives and limitations [J].
Merkle, EM ;
Wunderlich, A ;
Aschoff, AJ ;
Rilinger, N ;
Görich, J ;
Bachor, R ;
Gottfried, HW ;
Sokiranski, R ;
Fleiter, TR ;
Brambs, HJ .
BRITISH JOURNAL OF RADIOLOGY, 1998, 71 (843) :262-267
[8]   The bladder and bladder tumors: Imaging with three dimensional display of helical CT data [J].
Narumi, Y ;
Kumatani, T ;
Sawai, Y ;
Kuriyama, K ;
Kuroda, C ;
Takahashi, S ;
Kim, T ;
Tsuda, K ;
Murakami, T ;
Nakamura, H .
AMERICAN JOURNAL OF ROENTGENOLOGY, 1996, 167 (05) :1134-1135
[9]   Virtual CT cystoscopy - Color mapping of bladder wall thickness [J].
Schreyer, AG ;
Fielding, JR ;
Warfield, SK ;
Lee, JH ;
Loughlin, KR ;
Dumanli, H ;
Jolesz, FA ;
Kikinis, R .
INVESTIGATIVE RADIOLOGY, 2000, 35 (05) :331-334
[10]   Bladder tumor detection at virtual cytoscopy [J].
Song, JH ;
Francis, IR ;
Platt, JF ;
Cohan, RH ;
Mohsin, J ;
Kielb, SJ ;
Korobkin, M ;
Montie, JE .
RADIOLOGY, 2001, 218 (01) :95-100