Predicting Grade and Stage at Cystoscopy in Newly Presenting Bladder Cancers-a Prospective Double-Blind Clinical Study

Paramananthan Mariappan*, Victoria Lavin, Chu Qin Phua, Shahid Aziz Anwar Khan, Roland Donat, Gordon Smith

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

OBJECTIVE: To assess urologists' ability to predict the grade and stage of new bladder cancers from the cystoscopic features alone.

PATIENTS AND METHODS: We conducted a prospective clinical study on consecutive patients who underwent transurethral resection of bladder tumor (TURBT) for new bladder cancers. Using only cystoscopic tumor morphology at the time of initial TURBT, 3 urology consultants predicted the grade and stage, recording these on a proforma along with tumor features. Predictions were compared with assessments by uropathologists, blinded to the clinical prediction. We analyzed the accuracy in (1) predicting the exact grade and stage of the cancer; (2) differentiating between low- and high-grade cancers; and (3) discerning between Ta, T1, and T2 cancers.

RESULTS: Of 248 patients, 224 were suitable for analysis. The positive predictive values for low- and high-grade cancers were 85.8% and 71.3%, respectively. The overall likelihood of a consultant predicting high-grade cancers as being low grade was 16/83 (19.3%). When tumors were large (>30 mm), this likelihood dropped significantly to 7.3% (4/55) (odds ratio = 3.1, 95% confidence interval = 1.0-9.7, P = .04). Non-muscle-invasive and muscle-invasive cancers were predicted accurately in 93.4% and 85.2% patients, respectively. Six of 161 (3.7%) tumors predicted to be non-muscle-invasive bladder cancer were actually muscle invasive on histology.

CONCLUSION: For clinical purposes, in newly presenting patients with bladder cancer, urologists appear to reliably predict lower grade and muscle-invasive disease, confirming widely held belief. This allows for appropriate and efficient use of surgical expertise, available technology, and selection of participants for clinical trials on the basis of prehistology risk categories.

Original languageEnglish
Pages (from-to)134-139
Number of pages6
JournalUrology
Volume109
DOIs
Publication statusPublished - Nov 2017

Keywords

  • Aged
  • Cystoscopy
  • Double-Blind Method
  • Humans
  • Neoplasm Grading
  • Neoplasm Staging
  • Predictive Value of Tests
  • Prospective Studies
  • Urinary Bladder Neoplasms/pathology

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