Literature DB >> 31075244

Histologic correlation between smartphone and coloposcopic findings in patients with abnormal cervical cytology: experiences in a tertiary referral hospital.

Yusuke Tanaka1, Yutaka Ueda2, Reisa Kakubari1, Mamoru Kakuda1, Satoshi Kubota1, Satoko Matsuzaki1, Akiko Okazawa1, Tomomi Egawa-Takata1, Shinya Matsuzaki1, Eiji Kobayashi1, Tadashi Kimura1.   

Abstract

BACKGROUND: Smartphones recently have been applied in the medical setting. However, the literature evaluating the utility of smartphones in gynecologic oncology is limited.
OBJECTIVE: To evaluate the utility of a smartphone in the detection of uterine cervical lesions in patients with abnormal cervical cytology. STUDY
DESIGN: Seventy-five women with abnormal cervical cytology were enrolled. Two doctors independently inspected the uterine cervix by using smartphone or colposcopy. Images were captured using acetic acid, and biopsies were taken as standard-of-care procedures. The diagnostic performance of the smartphone for cervical intraepithelial neoplasm 1 or worse and cervical intraepithelial neoplasm 2 or worse were evaluated, and the kappa value was calculated to determine the chance corrected agreement of the histologic diagnoses based on the smartphone and colposcopic findings.
RESULTS: There was a substantial agreement between histologic diagnoses based on the smartphone and colposcopic findings, with a kappa value of 0.67 (95% confidence interval, 0.43-0.90). The sensitivity, specificity, positive predictive value, and negative predictive value of the smartphone in the diagnosis of cervical intraepithelial neoplasm 1 or worse were 0.89 (95% confidence interval, 0.79-0.96), 0.33 (95% confidence interval, 0.08-0.70), 0.91 (95% confidence interval, 0.81-0.97), and 0.30 (95% confidence interval, 0.07-0.65), respectively. The sensitivity, specificity, positive predictive value, and negative predictive value in the diagnosis of cervical intraepithelial neoplasm 2 or worse were 0.92 (95% confidence interval, 0.81-0.98), 0.24 (95% confidence interval, 0.09-0.45), 0.71 (95% confidence interval, 0.58-0.81), and 0.60 (95% confidence interval, 0.26-0.88), respectively.
CONCLUSION: We found that there was a substantial agreement between the histologic diagnoses based on the smartphone and colposcopic findings. The smartphone seems to be useful and may be an alternative to colposcopy.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  cervical cancer screening; cervical intraepithelial neoplasm; colposcopy; smartphone

Mesh:

Year:  2019        PMID: 31075244     DOI: 10.1016/j.ajog.2019.04.039

Source DB:  PubMed          Journal:  Am J Obstet Gynecol        ISSN: 0002-9378            Impact factor:   8.661


  4 in total

1.  An artificial intelligence-assisted diagnostic system improves the accuracy of image diagnosis of uterine cervical lesions.

Authors:  Yu Ito; Ai Miyoshi; Yutaka Ueda; Yusuke Tanaka; Ruriko Nakae; Akiko Morimoto; Mayu Shiomi; Takayuki Enomoto; Masayuki Sekine; Toshiyuki Sasagawa; Kiyoshi Yoshino; Hiroshi Harada; Takafumi Nakamura; Takuya Murata; Keizo Hiramatsu; Junko Saito; Junko Yagi; Yoshiaki Tanaka; Tadashi Kimura
Journal:  Mol Clin Oncol       Date:  2021-12-08

2.  Accuracy of Smartphone Images of the Cervix After Acetic Acid Application for Diagnosing Cervical Intraepithelial Neoplasia Grade 2 or Greater in Women With Positive Cervical Screening: A Systematic Review and Meta-Analysis.

Authors:  Emma R Allanson; Natacha Phoolcharoen; Mila P Salcedo; Bryan Fellman; Kathleen M Schmeler
Journal:  JCO Glob Oncol       Date:  2021-12

Review 3.  Use of Smartphones for the Detection of Uterine Cervical Cancer: A Systematic Review.

Authors:  Denisse Champin; Max Carlos Ramírez-Soto; Javier Vargas-Herrera
Journal:  Cancers (Basel)       Date:  2021-12-01       Impact factor: 6.639

4.  Predictive value of 'Smartscopy' for the detection of preinvasive cervical lesions during the COVID-19 pandemic: a diagnostic study.

Authors:  Thamawoot Phoblap; Amornrat Temtanakitpaisan; Apiwat Aue-Angkul; Pilaiwan Kleebkaow; Bandit Chumworathayi; Sanguanchoke Luanratanakorn; Yuwadee Itarat
Journal:  Obstet Gynecol Sci       Date:  2022-07-28
  4 in total

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