Artificial intelligence to improve cytology performances in bladder carcinoma detection: results of the VisioCyt test. (26th April 2021)
- Record Type:
- Journal Article
- Title:
- Artificial intelligence to improve cytology performances in bladder carcinoma detection: results of the VisioCyt test. (26th April 2021)
- Main Title:
- Artificial intelligence to improve cytology performances in bladder carcinoma detection: results of the VisioCyt test
- Authors:
- Lebret, Thierry
Pignot, Geraldine
Colombel, Marc
Guy, Laurent
Rebillard, Xavier
Savareux, Laurent
Roumigue, Mathieu
Nivet, Sebastien
Coutade Saidi, Monique
Piaton, Eric
Radulescu, Camelia - Abstract:
- Abstract : Objective: To explore the utility of artificial intelligence (AI) using the VisioCyt® test (VitaDX International, Rennes, France) to improve diagnosis of bladder carcinoma using voided urine cytology. Patients and Methods: A national prospective multicentre trial (14 centres) was conducted on 1360 patients, divided in two groups. The first group included bladder carcinoma diagnosis with different histological grades and stages, and the second group included control patients based on negative cystoscopy and cytology results. The first step of this VISIOCYT1 trial focussed on algorithm development and the second step on validating this algorithm. A total of 598 patients were included in this first step, 449 patients with bladder tumours (219 high‐grade and 230 low‐grade) and 149 as negative controls. The VisioCyt test was compared to voided urine cytology performed by experienced uro‐pathologists from each centre. Results: Overall sensitivity was highly improved by the VisioCyt test compared to cytology (84.9% vs 43%). For high‐grade tumours the VisioCyt test sensitivity was 92.6% vs 61.1% for the uro‐pathologists. Regarding low‐grade tumours, VisioCyt test sensitivity was 77% vs 26.3% for the uro‐pathologists. Conclusion: In comparison to routine cytology, the results of the first phase of the VISIOCYT1 trial show very clear progress in terms of sensitivity, which is particularly visible and interesting for low‐grade tumours. If the validation cohort confirms theseAbstract : Objective: To explore the utility of artificial intelligence (AI) using the VisioCyt® test (VitaDX International, Rennes, France) to improve diagnosis of bladder carcinoma using voided urine cytology. Patients and Methods: A national prospective multicentre trial (14 centres) was conducted on 1360 patients, divided in two groups. The first group included bladder carcinoma diagnosis with different histological grades and stages, and the second group included control patients based on negative cystoscopy and cytology results. The first step of this VISIOCYT1 trial focussed on algorithm development and the second step on validating this algorithm. A total of 598 patients were included in this first step, 449 patients with bladder tumours (219 high‐grade and 230 low‐grade) and 149 as negative controls. The VisioCyt test was compared to voided urine cytology performed by experienced uro‐pathologists from each centre. Results: Overall sensitivity was highly improved by the VisioCyt test compared to cytology (84.9% vs 43%). For high‐grade tumours the VisioCyt test sensitivity was 92.6% vs 61.1% for the uro‐pathologists. Regarding low‐grade tumours, VisioCyt test sensitivity was 77% vs 26.3% for the uro‐pathologists. Conclusion: In comparison to routine cytology, the results of the first phase of the VISIOCYT1 trial show very clear progress in terms of sensitivity, which is particularly visible and interesting for low‐grade tumours. If the validation cohort confirms these results, it could lead to the VisioCyt test being considered as a very useful aid for pathologists. Moreover, as this test is in fact software based on AI, it should become more and more efficient as more data are collected. … (more)
- Is Part Of:
- BJU international. Volume 129:Number 3(2022)
- Journal:
- BJU international
- Issue:
- Volume 129:Number 3(2022)
- Issue Display:
- Volume 129, Issue 3 (2022)
- Year:
- 2022
- Volume:
- 129
- Issue:
- 3
- Issue Sort Value:
- 2022-0129-0003-0000
- Page Start:
- 356
- Page End:
- 363
- Publication Date:
- 2021-04-26
- Subjects:
- bladder tumour -- urine cytology -- artificial intelligence -- diagnosis -- voided urine -- #blcsm -- #BladderCancer -- #uroonc
Genitourinary organs -- Diseases -- Periodicals
Genitourinary organs -- Surgery -- Periodicals
Urology -- Periodicals
616.6 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1464-410X ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1111/bju.15382 ↗
- Languages:
- English
- ISSNs:
- 1464-4096
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 2105.758000
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- 21170.xml