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Low-cost, high-resolution imaging for detecting cervical precancer in medically-underserved areas of Texas.
- Source :
-
Gynecologic oncology [Gynecol Oncol] 2019 Sep; Vol. 154 (3), pp. 558-564. Date of Electronic Publication: 2019 Jul 06. - Publication Year :
- 2019
-
Abstract
- Objective: Cervical cancer rates in the United States have declined since the 1940's, however, cervical cancer incidence remains elevated in medically-underserved areas, especially in the Rio Grande Valley (RGV) along the Texas-Mexico border. High-resolution microendoscopy (HRME) is a low-cost, in vivo imaging technique that can identify high-grade precancerous cervical lesions (CIN2+) at the point-of-care. The goal of this study was to evaluate the performance of HRME in medically-underserved areas in Texas, comparing results to a tertiary academic medical center.<br />Methods: HRME was evaluated in five different outpatient clinical settings, two in Houston and three in the RGV, with medical providers of varying skill and training. Colposcopy, followed by HRME imaging, was performed on eligible women. The sensitivity and specificity of traditional colposcopy and colposcopy followed by HRME to detect CIN2+ were compared and HRME image quality was evaluated.<br />Results: 174 women (227 cervical sites) were included in the final analysis, with 12% (11% of cervical sites) diagnosed with CIN2+ on histopathology. On a per-site basis, a colposcopic impression of low-grade precancer or greater had a sensitivity of 84% and a specificity of 45% to detect CIN2+. While there was no significant difference in sensitivity (76%, p = 0.62), the specificity when using HRME was significantly higher than that of traditional colposcopy (56%, p = 0.01). There was no significant difference in HRME image quality between clinical sites (p = 0.77) or medical providers (p = 0.33).<br />Conclusions: HRME imaging increased the specificity for detecting CIN2+ when compared to traditional colposcopy. HRME image quality remained consistent across different clinical settings.<br /> (Copyright © 2019 Elsevier Inc. All rights reserved.)
- Subjects :
- Female
Humans
Image Processing, Computer-Assisted
Neoplasm Grading
Precancerous Conditions economics
Prospective Studies
Sensitivity and Specificity
Texas
United States
Uterine Cervical Neoplasms pathology
Uterine Cervical Dysplasia diagnostic imaging
Uterine Cervical Dysplasia economics
Colonoscopy economics
Colonoscopy methods
Medically Underserved Area
Precancerous Conditions diagnostic imaging
Uterine Cervical Neoplasms diagnostic imaging
Subjects
Details
- Language :
- English
- ISSN :
- 1095-6859
- Volume :
- 154
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- Gynecologic oncology
- Publication Type :
- Academic Journal
- Accession number :
- 31288949
- Full Text :
- https://doi.org/10.1016/j.ygyno.2019.06.024