Literature DB >> 26637074

High-resolution microendoscopy: a point-of-care diagnostic for cervical dysplasia in low-resource settings.

Benjamin D Grant1, José H T G Fregnani, Júlio C Possati Resende, Cristovam Scapulatempo-Neto, Graziela M Matsushita, Edmundo C Mauad, Timothy Quang, Mark H Stoler, Philip E Castle, Kathleen M Schmeler, Rebecca R Richards-Kortum.   

Abstract

Cervical cancer is the third leading cause of cancer-related death among women in low-to-middle income countries. Pap testing and pathological services are difficult to implement under these settings. Alternative techniques for the diagnosis of cervical precancer in these settings are needed to reduce the burden of the disease. The objective of this study was to evaluate the diagnostic accuracy of a low-cost, high-resolution microendoscope imaging system in identifying precancerous lesions of the cervix in vivo. A retrospective study of 59 patients undergoing colposcopy for an abnormal Pap test was performed at Hospital de Câncer de Barretos in Brazil. All patients underwent colposcopy as per standard of care, and acetowhite lesions were recorded. High-resolution microendoscopy (HRME) images were obtained from one colposcopically normal region and from all lesions observed on colposcopy. Biopsies of abnormal areas were obtained and reviewed by three independent, blinded pathologists and compared with HRME findings. The mean nuclear area and the median nuclear eccentricity were calculated from HRME images acquired from each site. A diagnostic algorithm to distinguish histopathologically diagnosed cervical intraepithelial neoplasias of grade 2 or more severe lesions (high grade) from less severe lesions (low grade) was developed using these parameters. A test of trend was used to analyze the relationship between HRME positivity and severity of histopathogical diagnosis. Fisher's exact test was used to analyze differences in HRME positivity between high-grade and low-grade lesions. Evaluable images were obtained from 108 of 143 discrete sites. Of these, 71 sites were colposcopically normal or low grade according to histopathology and 37 were diagnosed as high grade on the basis of histopathology. Using the mean nuclear area and the median nuclear eccentricity, HRME images from 59 colposcopically abnormal sites were classified as high grade or low grade with 92% sensitivity and 77% specificity compared with histopathological findings. Increasing HRME positivity showed a significant trend with increasing severity of diagnosis (Ptrend<0.001). We found a strong association (P<0.001) between HRME positivity and a histopathological diagnosis of cervical intraepithelial neoplasia of grade 2 or higher. HRME demonstrated an accurate in-situ diagnosis of high-grade dysplasia. In low-resource settings in which colposcopy and histopathology services are severely limited or unavailable, HRME may provide a low-cost, accurate method for diagnosis of cervical precancer without the need for biopsy, allowing for a single 'screen-and-treat' approach.

Entities:  

Mesh:

Year:  2017        PMID: 26637074     DOI: 10.1097/CEJ.0000000000000219

Source DB:  PubMed          Journal:  Eur J Cancer Prev        ISSN: 0959-8278            Impact factor:   2.497


  18 in total

Review 1.  Advances in technologies for cervical cancer detection in low-resource settings.

Authors:  Kathryn A Kundrod; Chelsey A Smith; Brady Hunt; Richard A Schwarz; Kathleen Schmeler; Rebecca Richards-Kortum
Journal:  Expert Rev Mol Diagn       Date:  2019-08-01       Impact factor: 5.225

2.  The Role of Affordable, Point-of-Care Technologies for Cancer Care in Low- and Middle-Income Countries: A Review and Commentary.

Authors:  Karen Haney; Pushpa Tandon; Rao Divi; Miguel R Ossandon; Houston Baker; Paul C Pearlman
Journal:  IEEE J Transl Eng Health Med       Date:  2017-11-23       Impact factor: 3.316

3.  The time is now to implement HPV testing for primary screening in low resource settings.

Authors:  Louise Kuhn; Lynette Denny
Journal:  Prev Med       Date:  2017-02-06       Impact factor: 4.018

4.  In vivo imaging of cervical precancer using a low-cost and easy-to-use confocal microendoscope.

Authors:  Yubo Tang; Alex Kortum; Sonia G Parra; Imran Vohra; Andrea Milbourne; Preetha Ramalingam; Paul A Toscano; Kathleen M Schmeler; Rebecca R Richards-Kortum
Journal:  Biomed Opt Express       Date:  2019-12-16       Impact factor: 3.732

Review 5.  Review of the Standard and Advanced Screening, Staging Systems and Treatment Modalities for Cervical Cancer.

Authors:  Siaw Shi Boon; Ho Yin Luk; Chuanyun Xiao; Zigui Chen; Paul Kay Sheung Chan
Journal:  Cancers (Basel)       Date:  2022-06-13       Impact factor: 6.575

6.  In Vivo Multimodal Optical Imaging: Improved Detection of Oral Dysplasia in Low-Risk Oral Mucosal Lesions.

Authors:  Eric C Yang; Richard A Schwarz; Alexander K Lang; Nancy Bass; Hawraa Badaoui; Imran S Vohra; Katelin D Cherry; Michelle D Williams; Ann M Gillenwater; Nadarajah Vigneswaran; Rebecca R Richards-Kortum
Journal:  Cancer Prev Res (Phila)       Date:  2018-06-14

7.  Development of Low-Cost Point-of-Care Technologies for Cervical Cancer Prevention Based on a Single-Board Computer.

Authors:  Sonia Parra; Eduardo Carranza; Jackson Coole; Brady Hunt; Chelsey Smith; Pelham Keahey; Mauricio Maza; Kathleen Schmeler; Rebecca Richards-Kortum
Journal:  IEEE J Transl Eng Health Med       Date:  2020-02-03       Impact factor: 3.316

8.  Diagnosing Cervical Neoplasia in Rural Brazil Using a Mobile Van Equipped with In Vivo Microscopy: A Cluster-Randomized Community Trial.

Authors:  Brady Hunt; José Humberto Tavares Guerreiro Fregnani; Richard A Schwarz; Naitielle Pantano; Suelen Tesoni; Júlio César Possati-Resende; Marcio Antoniazzi; Bruno de Oliveira Fonseca; Graziela de Macêdo Matsushita; Cristovam Scapulatempo-Neto; Ligia Kerr; Philip E Castle; Kathleen Schmeler; Rebecca Richards-Kortum
Journal:  Cancer Prev Res (Phila)       Date:  2018-04-04

9.  Prospective Evaluation of Multimodal Optical Imaging with Automated Image Analysis to Detect Oral Neoplasia In Vivo.

Authors:  Timothy Quang; Emily Q Tran; Richard A Schwarz; Michelle D Williams; Nadarajah Vigneswaran; Ann M Gillenwater; Rebecca Richards-Kortum
Journal:  Cancer Prev Res (Phila)       Date:  2017-08-01

10.  Automated software-assisted diagnosis of esophageal squamous cell neoplasia using high-resolution microendoscopy.

Authors:  Mimi C Tan; Sheena Bhushan; Timothy Quang; Richard Schwarz; Kalpesh H Patel; Xinying Yu; Zhengqi Li; Guiqi Wang; Fan Zhang; Xueshan Wang; Hong Xu; Rebecca R Richards-Kortum; Sharmila Anandasabapathy
Journal:  Gastrointest Endosc       Date:  2020-07-16       Impact factor: 9.427

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.