Cervical lesion assessment using real‐time microendoscopy image analysis in Brazil: The CLARA study

• Published in: International journal of cancer Vol. 149; no. 2; pp. 431 - 441
• Main Authors: Hunt, Brady, Fregnani, José Humberto Tavares Guerreiro, Brenes, David, Schwarz, Richard A., Salcedo, Mila P., Possati‐Resende, Júlio César, Antoniazzi, Márcio, Oliveira Fonseca, Bruno, Santana, Iara Viana Vidigal, Macêdo Matsushita, Graziela, Castle, Philip E., Schmeler, Kathleen M., Richards‐Kortum, Rebecca
• Format: Journal Article
• Language: English
• Published: Hoboken, USA John Wiley & Sons, Inc 15.07.2021; Wiley Subscription Services, Inc
• Subjects: Adult; Aged; Algorithms; Biopsy; Brazil; Cancer; Cervical cancer; cervical cancer prevention; Cervical Intraepithelial Neoplasia - diagnostic imaging; Cervix; Colposcopy; Computer Systems; deep learning; diagnostic imaging; Female; high‐resolution microendoscopy; Humans; Hysteroscopy - instrumentation; Image processing; Medical research; Microtechnology; Middle Aged; Neural networks; Neural Networks, Computer; Point-of-Care Systems; point‐of‐care; Prospective Studies; Radiographic Image Interpretation, Computer-Assisted - methods; Sensitivity and Specificity; Young Adult; Brazil; high-resolution microendoscopy; deep learning; point-of-care; diagnostic imaging; cervical cancer prevention

We conducted a prospective evaluation of the diagnostic performance of high‐resolution microendoscopy (HRME) to detect cervical intraepithelial neoplasia (CIN) in women with abnormal screening tests. Study participants underwent colposcopy, HRME and cervical biopsy. The prospective diagnostic perfor...