Ann Clin Microbiol 2025;29(2):9. Laser scattering signal amplification and deep learning for detection of Candida culture positivity in women with vaginal symptoms: a preliminary analytical and pilot clinical evaluation

Table 1. Summary of patient characteristics and pilot clinical evaluation results (n = 20)
CharacteristicValue
Age, years — median (IQR)49.5 (44–55); range 29–63
Premenopausal13 (65.0%)
Postmenopausal6 (30.0%)
Unknown menopausal statusa)1 (5.0%)
Diabetes mellitus4 (20.0%)
Presenting symptoms
  Vaginal discharge15 (75.0%)
  Itching10 (50.0%)
  Other symptomsb)4 (20.0%)
Recent medications
  Antifungal use within 2 weeks1 (5.0%)
  Antibiotic use within 2 weeks0 (0.0%)
  Vaginal douching within 1 week1 (5.0%)
Candida culture vs. LSSA prediction
  Culture positive / LSSA positive (TP)1
  Culture positive / LSSA negative (FN)4
  Culture negative / LSSA positive (FP)0
  Culture negative / LSSA negative (TN)15
Diagnostic performance (95% CI)
  Sensitivity20.0% (0.5–71.6%)
  Specificity100.0% (78.2–100.0%)
  PPV100.0% (2.5–100.0%)
  NPV78.9% (54.4–93.9%)
  Overall accuracy80.0% (56.3–94.3%)

a)One patient receiving gonadotropin-releasing hormone agonist therapy.
b)Other symptoms: perineal redness, atrophic vaginitis, odor.
Individual specimen results are provided in Supplementary Table S2. 95% CIs were calculated using the exact Clopper–Pearson binomial method.
Abbreviations: TP, true positive; FN, false negative; FP, false positive; TN, true negative; CI, confidence interval; PPV, positive predictive value; NPV, negative predictive value; LSSA, laser scattering signal amplification.