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1.
Int J Cancer ; 149(2): 431-441, 2021 07 15.
Article in English | MEDLINE | ID: mdl-33811763

ABSTRACT

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 performance of HRME using an automated morphologic image analysis algorithm was compared to that of colposcopy using histopathologic detection of CIN as the gold standard. To assess the potential to further improve performance of HRME image analysis, we also conducted a retrospective analysis assessing performance of a multi-task convolutional neural network to segment and classify HRME images. One thousand four hundred eighty-six subjects completed the study; 435 (29%) subjects had CIN Grade 2 or more severe (CIN2+) diagnosis. HRME with morphologic image analysis for detection of CIN Grade 3 or more severe diagnoses (CIN3+) was similarly sensitive (95.6% vs 96.2%, P = .81) and specific (56.6% vs 58.7%, P = .18) as colposcopy. HRME with morphologic image analysis for detection of CIN2+ was slightly less sensitive (91.7% vs 95.6%, P < .01) and specific (59.7% vs 63.4%, P = .02) than colposcopy. Images from 870 subjects were used to train a multi-task convolutional neural network-based algorithm and images from the remaining 616 were used to validate its performance. There were no significant differences in the sensitivity and specificity of HRME with neural network analysis vs colposcopy for detection of CIN2+ or CIN3+. Using a neural network-based algorithm, HRME has comparable sensitivity and specificity to colposcopy for detection of CIN2+. HRME could provide a low-cost, point-of-care alternative to colposcopy and biopsy in the prevention of cervical cancer.


Subject(s)
Hysteroscopy/instrumentation , Radiographic Image Interpretation, Computer-Assisted/methods , Uterine Cervical Dysplasia/diagnostic imaging , Adult , Aged , Brazil , Colposcopy , Computer Systems , Female , Humans , Microtechnology , Middle Aged , Neural Networks, Computer , Point-of-Care Systems , Prospective Studies , Sensitivity and Specificity , Young Adult
2.
PLoS One ; 14(2): e0211045, 2019.
Article in English | MEDLINE | ID: mdl-30726252

ABSTRACT

Nearly 90% of cervical cancer cases and deaths occur in low- and middle-income countries that lack comprehensive national HPV immunization and cervical cancer screening programs. In these settings, it is difficult to implement screening programs due to a lack of infrastructure and shortage of trained personnel. Screening programs based on visual inspection with acetic acid (VIA) have been successfully implemented in some low-resource settings. However, VIA has poor specificity and up to 90% of patients receiving treatment based on a positive VIA exam are over-treated. A number of studies have suggested that high-resolution cervical imaging to visualize nuclear morphology in vivo can improve specificity by better distinguishing precancerous and benign lesions. To enable high-resolution imaging in low-resource settings, we developed a portable, low-cost, high-resolution microendoscope that uses a mobile phone to detect and display images of cervical epithelium in vivo with subcellular resolution. The device was fabricated for less than $2,000 using commercially available optical components including filters, an LED and triplet lenses assembled in a 3D-printed opto-mechanical mount. We show that the mobile high-resolution microendoscope achieves similar resolution and signal-to-background ratio as previously reported high-resolution microendoscope systems using traditional cameras and computers to detect and display images. Finally, we demonstrate the ability of the mobile high-resolution microendoscope to image normal and precancerous squamous epithelium of the cervix in vivo in a gynecological referral clinic in Barretos, Brazil.


Subject(s)
Cell Phone , Colposcopy/methods , Intravital Microscopy/methods , Uterine Cervical Dysplasia/diagnostic imaging , Uterine Cervical Neoplasms/prevention & control , Brazil , Cervix Uteri/diagnostic imaging , Cervix Uteri/pathology , Colposcopy/economics , Colposcopy/instrumentation , Developing Countries , Equipment Design , Feasibility Studies , Female , HeLa Cells , Health Resources/supply & distribution , Humans , Image Processing, Computer-Assisted/instrumentation , Image Processing, Computer-Assisted/methods , Intravital Microscopy/economics , Intravital Microscopy/instrumentation , Mass Screening/economics , Mass Screening/instrumentation , Mass Screening/methods , Mobile Applications , Physical Examination/economics , Physical Examination/instrumentation , Physical Examination/methods , Printing, Three-Dimensional , Sensitivity and Specificity , Uterine Cervical Dysplasia/pathology , Uterine Cervical Neoplasms/pathology
3.
Cancer Prev Res (Phila) ; 11(6): 359-370, 2018 06.
Article in English | MEDLINE | ID: mdl-29618459

ABSTRACT

Cervical cancer is a leading cause of death in underserved areas of Brazil. This prospective randomized trial involved 200 women in southern/central Brazil with abnormal Papanicolaou tests. Participants were randomized by geographic cluster and referred for diagnostic evaluation either at a mobile van upon its scheduled visit to their local community, or at a central hospital. Participants in both arms underwent colposcopy, in vivo microscopy, and cervical biopsies. We compared rates of diagnostic follow-up completion between study arms, and also evaluated the diagnostic performance of in vivo microscopy compared with colposcopy. There was a 23% absolute and 37% relative increase in diagnostic follow-up completion rates for patients referred to the mobile van (102/117, 87%) compared with the central hospital (53/83, 64%; P = 0.0001; risk ratio = 1.37, 95% CI, 1.14-1.63). In 229 cervical sites in 144 patients, colposcopic examination identified sites diagnosed as cervical intraepithelial neoplasia grade 2 or more severe (CIN2+; 85 sites) with a sensitivity of 94% (95% CI, 87%-98%) and specificity of 50% (95% CI, 42%-58%). In vivo microscopy with real-time automated image analysis identified CIN2+ with a sensitivity of 92% (95% CI, 84%-97%) and specificity of 48% (95% CI, 40%-56%). Women referred to the mobile van were more likely to complete their diagnostic follow-up compared with those referred to a central hospital, without compromise in clinical care. In vivo microscopy in a mobile van provides automated diagnostic imaging with sensitivity and specificity similar to colposcopy. Cancer Prev Res; 11(6); 359-70. ©2018 AACR.


Subject(s)
Colposcopy/methods , Early Detection of Cancer/statistics & numerical data , Microscopy/methods , Mobile Health Units/statistics & numerical data , Uterine Cervical Dysplasia/diagnosis , Uterine Cervical Neoplasms/diagnosis , Adult , Aged , Aged, 80 and over , Brazil/epidemiology , Female , Follow-Up Studies , Humans , In Vitro Techniques , Independent Living , Middle Aged , Prognosis , Prospective Studies , Rural Population , Uterine Cervical Neoplasms/epidemiology , Uterine Cervical Dysplasia/epidemiology
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