Anterior segment Scheimpflug imaging for detecting primary angle closure disease.
Winegarner Andrew, Miki Atsuya, Kumoi Miho, Ishida Yuichiro, Wakabayashi Taku, Sakimoto Susumu, Usui Shinichi, Matsushita Kenji, Nishida Kohji
AI Summary
Anterior segment Scheimpflug imaging, particularly anterior chamber depth, accurately detects primary angle closure disease. This non-invasive, reproducible method is a powerful screening tool for PACD.
Abstract
Purpose
To evaluate the capability of anterior segment Scheimpflug imaging for detecting primary angle closure disease (PACD): primary angle closure suspect, primary angle closure, and primary angle closure glaucoma, using cutoff points derived from reference databases of healthy subjects.
Methods
Eighty-seven patients with PACD and 49 age-matched control subjects were included. We evaluated the sensitivity and specificity of anterior chamber depth (ACD), anterior chamber volume (ACV), and anterior chamber angle (ACA) to differentiate patients with PACD from controls. Additionally, the study's raw data was analyzed via receiver operating characteristic curves for comparison.
Results
One standard deviation from the normative data's mean values was used as the cutoff point and yielded a sensitivity and specificity of 96.2% and 92.6% for ACD, 97.1% and 75.9% for ACV, and 93.3% and 72.2% for ACA, respectively. Receiver operating characteristic analysis of the raw data showed the area under the curve to be 0.984, 0.975, and 0.931 for ACD, ACV, and ACA, respectively.
Conclusions
Our study demonstrated that the parameters of anterior segment Scheimpflug imaging, particularly ACD, accurately discriminate PACD. This was the first study to validate the device's normative data in a separate population. With its high reproducibility, ease of use, non-invasiveness, and speed, anterior segment Scheimpflug imaging is a potentially powerful screening tool for PACD.
MeSH Terms
Shields Classification
Key Concepts6
Anterior chamber depth (ACD) measurements derived from anterior segment Scheimpflug imaging demonstrated a sensitivity of 96.2% and a specificity of 92.6% for detecting primary angle closure disease (PACD) when using cutoff points derived from reference databases of healthy subjects.
Anterior chamber volume (ACV) measurements derived from anterior segment Scheimpflug imaging demonstrated a sensitivity of 97.1% and a specificity of 75.9% for detecting primary angle closure disease (PACD) when using cutoff points derived from reference databases of healthy subjects.
Anterior chamber angle (ACA) measurements derived from anterior segment Scheimpflug imaging demonstrated a sensitivity of 93.3% and a specificity of 72.2% for detecting primary angle closure disease (PACD) when using cutoff points derived from reference databases of healthy subjects.
Receiver operating characteristic (ROC) analysis of raw data from anterior segment Scheimpflug imaging showed the area under the curve (AUC) to be 0.984 for anterior chamber depth (ACD), 0.975 for anterior chamber volume (ACV), and 0.931 for anterior chamber angle (ACA) in differentiating primary angle closure disease (PACD) patients from controls.
The parameters of anterior segment Scheimpflug imaging, particularly anterior chamber depth (ACD), accurately discriminate primary angle closure disease (PACD).
Anterior segment Scheimpflug imaging is a potentially powerful screening tool for primary angle closure disease (PACD) due to its high reproducibility, ease of use, non-invasiveness, and speed.
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