Tumor detection in the bladder wall with a measurement of abnormal thickness in CT scans.
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.
Jaume
Sylvain
S
Telecommunications Laboratory, Université Catholique de Louvain, 1348 Louvain-la-Neuve, Belgium. jaume@tele.ucl.ac.be
Ferrant
Matthieu
M
Macq
Benoît
B
Hoyte
Lennox
L
Fielding
Julia R
JR
Schreyer
Andreas
A
Kikinis
Ron
R
Warfield
Simon K
SK
D019412:Anatomy, Cross-Sectional / Q000379:methods; D004452:Echocardiography / Q000379:methods; D005188:False Negative Reactions; D005189:False Positive Reactions; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D011856:Radiographic Image Enhancement / Q000379:methods*; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D012016:Reference Values; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D001749:Urinary Bladder Neoplasms / Q000000981:diagnostic imaging*