Artificial intelligence to improve cytology performance in urothelial carcinoma diagnosis: results from validation phase of the French, multicenter, prospective VISIOCYT1 trial - Takeaways - MDSpire

Artificial intelligence to improve cytology performance in urothelial carcinoma diagnosis: results from validation phase of the French, multicenter, prospective VISIOCYT1 trial

  • By

  • Thierry Lebret

  • Xavier Paoletti

  • Geraldine Pignot

  • Mathieu Roumiguié

  • Marc Colombel

  • Laurent Savareux

  • Grégory Verhoest

  • Laurent Guy

  • Jérome Rigaud

  • Stéphane De Vergie

  • Grégoire Poinas

  • Stéphane Droupy

  • François Kleinclauss

  • Monique Courtade-Saïdi

  • Eric Piaton

  • Camelia Radulescu

  • Nathalie Rioux-Leclercq

  • Christine Kandel-Aznar

  • Karine Renaudin

  • Béatrix Cochand-Priollet

  • Yves Allory

  • Sébastien Nivet

  • Morgan Rouprêt

  • July 22, 2023

  • 0 min

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  • 1

    The VISIOCYT1 trial evaluated the VisioCyt® device for diagnosing bladder cancer using AI-based analysis of urothelial cell morphology.

  • 2

    VisioCyt® offers a noninvasive alternative to traditional cytology and cystoscopy, analyzing urine samples for tumor cell detection.

  • 3

    The trial included patients over 18 with suspected bladder cancer, assessing both positive and negative cytology and cystoscopy results.

  • 4

    Urine samples were prepared for both routine cytology and VisioCyt® testing, with strict criteria for evaluability based on urothelial cell count.

  • 5

    The primary objective of the validation phase was to assess the sensitivity of the VisioCyt® test compared to standard histopathological assessments.

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