Point-of-care semen analysis of patients with infertility via smartphone and colorimetric paper-based diagnostic device

Yu Ting Tsao, Chung Yao Yang, Yun Chiao Wen, Ting Chang Chang, Koji Matsuura, Yu Chen*, Chao Min Cheng*

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

22 Scopus citations

Abstract

Male infertility affects millions of males worldwide and is rising in prevalence due to social and environmental conditions. However, men often feel too embarrassed to receive a semen analysis in the hospital due to social stigmas. To overcome this problem, we developed a 3-(4,5-Dimethyl-2-thiazolyl)-2,5-diphenyl-2H-tetrazolium bromide test strip to distinguish semen samples with low total motile sperm concentration from those with normal motile sperm concentration. This is a point-of-care colorimetric semen analytical method with a one-step, inexpensive, equipment-free evaluation process, and adequate accuracy validated in a 42-sample clinical trial. In this study, results were evaluated visually and with a smartphone application. Using visual observation methods, the area under the curve (AUC) was 0.71 (95% of confidence interval = 0.55–0.86; p = 0.021), sensitivity was 41%, specificity was 95%, positive predictive value was 90%, negative predictive value (NPV) was 59.4%, and accuracy was 67%. Using a smartphone recording and analytical system, AUC was 0.766 (95% of confidence interval = 0.612–0.92; p = 0.003), sensitivity was 96%, specificity was 65%, PPV was 75%, NPV was 92.9%, and accuracy was 80.9%. This work demonstrated a screening tool that could elevate semen analysis to the level of routine healthcare and provide for private, in-home self-assessment.

Original languageEnglish
Article numbere10176
JournalBioengineering and Translational Medicine
Volume6
Issue number1
DOIs
StatePublished - 01 2021
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2020 The Authors. Bioengineering & Translational Medicine published by Wiley Periodicals LLC on behalf of American Institute of Chemical Engineers.

Keywords

  • MTT
  • infertility
  • paper-based diagnostic device
  • point-of-care
  • semen analysis

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