Principal Investigator

Rebecca R.
Richards-Kortum
Awardee Organization

Rice University
United States

Fiscal Year
2023
Activity Code
R01
Early Stage Investigator Grants (ESI)
Not Applicable
Project End Date

Low-cost mobile colposcopy and confocal imaging for global prevention of cervical cancer

Cervical cancer was once the leading cause of cancer death among women in the United States (U.S.). The implementation of comprehensive programs for screening, diagnosis, and treatment over the past 60 years has reduced cervical cancer incidence and mortality by more than 70% in the U.S. In contrast, cervical cancer remains the 1st or 2nd leading cause of cancer death among women in many low-and middle-income countries (LMICs). Cervical cancer prevention programs in low-resource settings are hampered by a lack of personnel with appropriate clinical expertise, lack of pathology services, and lack of associated infrastructure. Programs that involve multiple patient visits have a high rate of loss to follow-up. Screen-and-Treat approaches have been implemented in LMICs and include screening by HPV testing or visual inspection with acetic acid (VIA) followed by immediate treatment, reducing loss to follow-up; but these approaches lead to massive over-treatment due to the poor specificity of VIA and HPV testing. There is an urgent need for appropriate diagnostic tools to enable the implementation of a sensitive and specific Screen-Diagnose-Treat strategy that can be performed in a single patient visit in LMICs and in medically underserved areas of the U.S. We propose to develop and validate a low-cost Multimodal Mobile Colposcope (MMC) for global cervical Screen-Diagnose-Treat programs. This new device will combine the imaging capabilities of a smartphonebased colposcope developed by MobileODT with the microscopic imaging capabilities of a fiber-optic confocal imaging probe developed by Rice University. The MMC will image the entire cervix, automatically identify suspicious regions, and acquire co-registered high-resolution images of nuclear morphometry from suspicious areas. Multimodal image analysis algorithms will be developed in a study of 300 women referred for colposcopy at two sites in Brazil. The performance of the MMC with automated image analysis for detection of cervical precancer will be validated in a study of an additional 760 women referred for colposcopy in Brazil. We will determine the feasibility and usability of the MMC among low-resource setting providers by carrying out cancer prevention training courses using the MMC in Brazil. Our academic-industrial partnership includes expertise in bioengineering (Rice University), colposcopy and medical imaging (MobileODT), cervical cancer prevention and treatment (MD Anderson Cancer Center), and cervical cancer prevention and epidemiology (Albert Einstein College of Medicine), as well as the clinical expertise of our Brazilian clinical partners: Barretos Cancer Hospital and the Federal University of Health Sciences of Porto Alegre/Hospital Santa Casa. The innovative imaging technologies to be developed in this proposal will enable effective single-visit Screen-Diagnose-Treat programs to diagnose and treat women with cervical precancer while minimizing overtreatment.

Publications

  • Hou H, Mitbander R, Tang Y, Azimuddin A, Carns J, Schwarz RA, Richards-Kortum RR. Optical imaging technologies for in vivo cancer detection in low-resource settings. Current opinion in biomedical engineering. 2023 Dec;28. Epub 2023 Aug 23. PMID: 38406798
  • Phoolcharoen N, Varon ML, Baker E, Parra S, Carns J, Cherry K, Smith C, Sonka T, Doughtie K, Lorenzoni C, Richards-Kortum R, Schmeler K, Salcedo MP. Hands-On Training Courses for Cervical Cancer Screening, Diagnosis, and Treatment Procedures in Low- and Middle-Income Countries. JCO global oncology. 2022 Jan;8:e2100214. PMID: 34985911
  • Brenes D, Kortum A, Carns J, Mutetwa T, Schwarz R, Liu Y, Sigel K, Richards-Kortum R, Anandasabapathy S, Gaisa M, Chiao E. Automated In Vivo High-Resolution Imaging to Detect Human Papillomavirus-Associated Anal Precancer in Persons Living With HIV. Clinical and translational gastroenterology. 2023 Feb 1;14(2):e00558. PMID: 36729506
  • Hunt B, Fregnani JHTG, Brenes D, Schwarz RA, Salcedo MP, Possati-Resende JC, Antoniazzi M, de Oliveira Fonseca B, Santana IVV, de Macêdo Matsushita G, Castle PE, Schmeler KM, Richards-Kortum R. Cervical lesion assessment using real-time microendoscopy image analysis in Brazil: The CLARA study. International journal of cancer. 2021 Jul 15;149(2):431-441. Epub 2021 Apr 3. PMID: 33811763
  • Brenes D, Barberan CJ, Hunt B, Parra SG, Salcedo MP, Possati-Resende JC, Cremer ML, Castle PE, Fregnani JHTG, Maza M, Schmeler KM, Baraniuk R, Richards-Kortum R. Multi-task network for automated analysis of high-resolution endomicroscopy images to detect cervical precancer and cancer. Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society. 2022 Apr;97:102052. Epub 2022 Feb 26. PMID: 35299096
  • Coole JB, Brenes D, Possati-Resende JC, Antoniazzi M, Fonseca BO, Maker Y, Kortum A, Vohra IS, Schwarz RA, Carns J, Borba Souza KC, Vidigal Santana IV, Kreitchmann R, Salcedo MP, Ramanujam N, Schmeler KM, Richards-Kortum R. Development of a multimodal mobile colposcope for real-time cervical cancer detection. Biomedical optics express. 2022 Sep 6;13(10):5116-5130. doi: 10.1364/BOE.463253. eCollection 2022 Oct 1. PMID: 36425643
  • Brenes D, Kortum A, Coole J, Carns J, Schwarz R, Vohra I, Richards-Kortum R, Liu Y, Cai Z, Sigel K, Anandasabapathy S, Gaisa M, Chiao E. Deployment and assessment of a deep learning model for real-time detection of anal precancer with high frame rate high-resolution microendoscopy. Scientific reports. 2023 Dec 14;13(1):22267. PMID: 38097594