The most common cancer of the lower urinary tract is bladder tumor, The major problem associated with this is recurrence. This depends upon different stages and grades of the tumor [1, 2]. Therefore, monitoring of the patients at regular intervals is necessary for improving the prognosis of the patient. The mainstay of diagnosis for bladder neoplasia is conventional cystoscopy [1] which is an invasive procedure. With computer assisted rapid image acquisition and three-dimensional image reconstruction once those were dreams are becoming reality. virtual reality imaging is one among them that has been developed. This can be applied to many other organs excluding bladder [3–8]. Because of its morphology, small volume, and nil involuntary peristalsis, urinary bladder can be an ideal organ for virtual imaging [9]. The accuracy of picking up bladder lesions (<1 cm) by CTVC ranges from 60–100% [7, 10–12].Bladder lesions <5 mm were also detected and reported by some authors [13–15]. In this study we report our the findings from CTVC in picking up bladder tumors and explore its sensitivity, specificity, positive predictive value, and negative predictive value.

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