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Purpose <p>To predict the degree of angle opening after lens extraction (LE) in patients with shallow peripheral anterior chamber.</p> Methods <p>We collected the ultrasound biomicroscopy (UBM) parameters before and one month after LE retrospectively. The binary logistic regression and artificial neural network (ANN) models of angle opening after LE were established using preoperative UBM parameters, and the predictive factors were screened. The performances of models were evaluated using the area under the receiver operator characteristic curve (AUROC).</p> Results <p>Patients from the Zhongnan Hospital of Wuhan University were randomized into a training set (n = 91) or a test set (n = 39) for internal validation. External validation employed the entire Zhongnan Hospital cohort as the training set (n = 130) and Dawu County People's Hospital cohort as the test set (n = 30). Both internal and external validation using both models showed that iris curvature (IC), iris-ciliary process angle (ICPA), trabecular-iris angle (TIA), and gender were significantly predictive of the degree of angle opening after LE (<i>p</i> &lt; 0.05). Both models achieved an AUROC of 0.993 (0.997–1.0) in the internal validation training set, and an AUROC of 0.929 (0.774–1.0) in the internal validation test set. In the external validation training set, both models achieved an AUROC of 0.995 (0.984–1.0), while in the external validation test, both models had an AUROC of 0.938 (0.800–1.0).</p> Conclusion <p>In patients with shallow peripheral anterior chamber, a smaller preoperative TIA, ICPA and IC predicts unsatisfactory angle opening after LE. Female can also be a risk factor for the narrow angle after LE.</p>

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Risk factors of angle opening after lens extraction in patients with shallow peripheral anterior chamber

  • 期刊论文

  • 发表日期：

    2025年2月28日

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  • Yue Fu,
  • Yufeng Chen,
  • Xiuqin Li,
  • Lingzi Huang,
  • Lufan Li,
  • Nan Zhang,
  • Yixin Hu,
  • Wen Zeng,
  • Min Ke

摘要

Purpose

To predict the degree of angle opening after lens extraction (LE) in patients with shallow peripheral anterior chamber.

Methods

We collected the ultrasound biomicroscopy (UBM) parameters before and one month after LE retrospectively. The binary logistic regression and artificial neural network (ANN) models of angle opening after LE were established using preoperative UBM parameters, and the predictive factors were screened. The performances of models were evaluated using the area under the receiver operator characteristic curve (AUROC).

Results

Patients from the Zhongnan Hospital of Wuhan University were randomized into a training set (n = 91) or a test set (n = 39) for internal validation. External validation employed the entire Zhongnan Hospital cohort as the training set (n = 130) and Dawu County People's Hospital cohort as the test set (n = 30). Both internal and external validation using both models showed that iris curvature (IC), iris-ciliary process angle (ICPA), trabecular-iris angle (TIA), and gender were significantly predictive of the degree of angle opening after LE (p < 0.05). Both models achieved an AUROC of 0.993 (0.997–1.0) in the internal validation training set, and an AUROC of 0.929 (0.774–1.0) in the internal validation test set. In the external validation training set, both models achieved an AUROC of 0.995 (0.984–1.0), while in the external validation test, both models had an AUROC of 0.938 (0.800–1.0).

Conclusion

In patients with shallow peripheral anterior chamber, a smaller preoperative TIA, ICPA and IC predicts unsatisfactory angle opening after LE. Female can also be a risk factor for the narrow angle after LE.