Advances and Clinical Applications of Anterior Segment Imaging Techniques—2nd Edition

A special issue of Bioengineering (ISSN 2306-5354).

Deadline for manuscript submissions: 31 March 2026 | Viewed by 799

Special Issue Editor


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Guest Editor
Department of Ophthalmology, Kangwon National University School of Medicine, Kangwon National University Hospital, Chuncheon 24289, Republic of Korea
Interests: cornea; cataract; dry eye disease
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Special Issue Information

Dear Colleagues,

The development of imaging technology continues to ensure the precise and accurate assessment of even the most subtle changes in anterior segment structures, such as the eyelid conjunctiva, sclera, cornea, anterior chamber, iris, and lens. In recent years, the clinical application of devices employing these cutting-edge technologies has become critical for the enhanced diagnostic accuracy of anterior segment disorders. The utilization of these imaging devices can also lead to improvements in the visual and anatomical outcomes of the cornea, cataracts and refractive surgery. Hence, the introduction of these novel technology and devices can provide not only improved diagnostic accuracy, but also enhanced treatment outcomes in anterior segment diseases. The further development of imaging technology, e.g., the application of artificial intelligence, for anterior segment disorders is expected to allow for a more accurate diagnosis and precise assessment of changes in anterior segment structures in response to the specific treatment.

In this Special Issue, research or review papers on the advances and development of anterior segment imaging techniques are welcome, as well as any papers on new devices or methods for the imaging and evaluation of anterior segment structure of the eye. In addition, clinical application of the technologies and research of imaging devices at pre-clinical levels are also welcome.

Prof. Dr. Sang Beom Han
Guest Editor

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Keywords

  • anterior segment
  • cornea
  • cataract
  • conjunctiva
  • anterior segment imaging
  • refractive surgery

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Published Papers (1 paper)

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Research

10 pages, 1588 KB  
Article
Ocular Biometry and Refractive Prediction in Short Eyes: A Comparison of Two Swept-Source Optical Coherence Tomography-Based Biometers
by Jiyun Seong and Sang Beom Han
Bioengineering 2025, 12(9), 983; https://doi.org/10.3390/bioengineering12090983 - 16 Sep 2025
Viewed by 346
Abstract
Purpose: To compare the performance of two swept-source optical coherence tomography-based biometers in the measurement of ocular biometry and the prediction of postoperative refractive errors in eyes with short axial length (AL). Methods: A total of 48 eyes from 29 patients with AL [...] Read more.
Purpose: To compare the performance of two swept-source optical coherence tomography-based biometers in the measurement of ocular biometry and the prediction of postoperative refractive errors in eyes with short axial length (AL). Methods: A total of 48 eyes from 29 patients with AL ≤ 22 mm were included. AL, anterior chamber depth (ACD), keratometry (K), and lens thickness (LT) measured using the IOLMaster® 700 and ARGOS® before cataract surgery were compared. The refractive error prediction accuracy of the two devices was also compared. Results: This study included four men (7 eyes) and 25 women (41 eyes), with an average age of 70.7 ± 8.1 years (mean ± SD; range, 47–82 years). The two devices demonstrated good agreement in measurements of ocular biometry with high intraclass correlation coefficients (AL = 0.975; ACD = 0.957; K = 0.988; LT = 0.994). However, AL and ACD were significantly shorter when measured with the IOLMaster® 700 compared to the ARGOS® (p < 0.001 for both). There was no significant difference in mean absolute prediction errors between the two devices (p = 0.423). The IOLMaster® 700 showed a significantly lower mean prediction error than the ARGOS® (+0.12 ± 0.39 diopters vs. +0.20 ± 0.39 diopters, p = 0.006), although the difference was of limited clinical relevance. There were no significant differences in the percentages of eyes within ± 0.50 D (77.1% vs. 75.0%, p = 0.811) and ± 1.00 D (100% vs. 97.9%, p = 0.315) of the predicted refractive error. Conclusions: Although IOLMaster® 700 and ARGOS® showed good agreements in eyes with short AL, significant differences were observed in the measurements of AL and ACD. Both devices demonstrated good efficacy and comparable performance in predicting postoperative refractive errors. Full article
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