Tumor detection in the bladder wall with a measurement of abnormal thickness in CT scans.

Summary

Virtual cystoscopy is a developing technique for bladder cancer screening. In a conventional cystoscopy, an optical probe is inserted into the bladder and an expert reviews the appearance of the bladder wall. Physical limitations of the probe place restrictions on the examination of the bladder wall. In virtual cystoscopy, a computed tomography (CT) scan of the bladder is acquired and an expert reviews the appearance of the bladder wall as shown by the CT. The task of identifying tumors in the bladder wall has often been done without extensive computational aid to the expert. We have developed an image processing algorithm that aids the expert in the detection of bladder tumors. Compared with an expert observer reading the CT, our algorithm achieves 89% sensitivity, 88% specificity, 48% positive predictive value, and 98% negative predictive value.

Informations complémentaires

Publication Date :	2003
:	UCL - “ FSA/ELEC - Département d’électricité “
:	Article de périodique (Journal article) - (Clinical Trial - Comparative Study - Journal Article - Research Support, Non-U.S. Gov’t - Research Support, U.S. Gov’t, P.H.S. - Validation Studies)
Source :	“IEEE transactions on bio-medical engineering” - Vol. 50, no. 3, p. 383-90 (2003)
Peer-reviewed :
issn :	0018-9294
Publication status :	Publié
MESH :	Anatomy, Cross-Sectional - methods ; Echocardiography - methods ; False Negative Reactions ; False Positive Reactions ; Humans ; Imaging, Three-Dimensional - methods ; Radiographic Image Enhancement - methods ; Radiographic Image Interpretation, Computer-Assisted - methods ; Reference Values ; Reproducibility of Results ; Sensitivity and Specificity ; Urinary Bladder Neoplasms - radiography

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