Utilizing Iris Image Analysis for Screening Lung Diseases: A Retrospective Controlled Study

This study investigates the correlation between connective tissue density in the iris's lung region and respiratory diseases, assessing the potential use of iris images for screening lung diseases. Iris images from 375 patients collected between 2019 and 2021 were categorized into lung disease and control groups based on medical history. Two iridology experts independently evaluated lacunas, crypts, and pigment spots, showing substantial agreement (kappa values: 0.76 for lacunas, 0.73 for crypts, and 0.74 for pigment spots). The lung disease group (n=60) demonstrated a higher prevalence of lacunae, crypts, and pigment spots in the iris's lung region compared to the control group (n=315). Statistically significant findings were noted for crypts (p=0.004, odds ratio=2.29), with increased significance when considering all indices (p=0.000, odds ratio=3.38). According to the results, individuals with lower tissue density in the iris's lung region appear to be more susceptible to lung diseases. A subsequent investigation is imperative to elucidate these findings further.

Authors

Publication Details

Journal
Journal of Physiology & Pathology in Korean Medicine
Published
2024-08-25
DOI
https://doi.org/10.15188/kjopp.2024.08.38.4.94
Citations
1
Primary Topic
Traditional Chinese Medicine Studies
Type
article
Field-Weighted Citation Impact
0.72
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Utilizing Iris Image Analysis for Screening Lung Diseases: A Retrospective Controlled Study

Ho-ryong Yoo, Masami Park, Seong-Hwan Choi, Seong-Il Park et al.
1 citations
Journal of Physiology & Pathology in Korean Medicine
Traditional Chinese Medicine Studies
0.72
article

Utilizing Iris Image Analysis for Screening Lung Diseases: A Retrospective Controlled Study

Ho-ryong Yoo, Masami Park, Seong-Hwan Choi, Seong-Il Park, Hyun Jung Park
article en
1 citations

Abstract

This study investigates the correlation between connective tissue density in the iris's lung region and respiratory diseases, assessing the potential use of iris images for screening lung diseases. Iris images from 375 patients collected between 2019 and 2021 were categorized into lung disease and control groups based on medical history. Two iridology experts independently evaluated lacunas, crypts, and pigment spots, showing substantial agreement (kappa values: 0.76 for lacunas, 0.73 for crypts, and 0.74 for pigment spots). The lung disease group (n=60) demonstrated a higher prevalence of lacunae, crypts, and pigment spots in the iris's lung region compared to the control group (n=315). Statistically significant findings were noted for crypts (p=0.004, odds ratio=2.29), with increased significance when considering all indices (p=0.000, odds ratio=3.38). According to the results, individuals with lower tissue density in the iris's lung region appear to be more susceptible to lung diseases. A subsequent investigation is imperative to elucidate these findings further.

Journal of Physiology & Pathology in Korean MedicineVol. 38(4)
Good health and well-being
Openalex Percentile: Top 20%
Traditional Chinese Medicine Studies
0.72
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.