Relationship between cantho-limbal distance and degree of head turn in a Korean population.

Can J Ophthalmol

Department of Ophthalmology, Korea University College of Medicine, Seoul, Korea. Electronic address:

Published: February 2016

Objective: To evaluate the relationship between cantho-limbal distance and the degree of head turn in Koreans.

Design: Prospective cross-sectional study.

Participants: Thirty patients without strabismus or nystagmus who had visited an ophthalmic clinic at a single medical center were included in the study.

Methods: The distance between the lateral canthus and lateral corneal limbus was measured using a 5 mm scale. The degree of head turn was measured with a goniometer when the cantho-limbal distances were 0, 5, and 10 mm. The degree of head turn was measured 3 times, and the mean value was used as the degree of head turn.

Results: When the cantho-limbal distances were 0, 5, and 10 mm, the degree of head turn values were 42.33, 30.47, and 2.53 degrees, respectively. The shorter the cantho-limbal distance, the higher the degree of head turn (r = -0.945, p < 0.01). The relationship was expressed as: Degree of head turn = -2.98 × cantho-limbal distance + 35.07.

Conclusions: Cantho-limbal distance can be used to estimate the degree of head turn. This method may be simpler and easier in a clinical situation than checking the degree of head turn with a goniometer.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.jcjo.2015.09.007DOI Listing

Publication Analysis

Top Keywords

degree head
40
head turn
36
cantho-limbal distance
20
degree
10
head
10
turn
9
relationship cantho-limbal
8
distance degree
8
turn measured
8
cantho-limbal distances
8

Similar Publications

Background: This historical account reviews the course and lasting impact of Dr. Harvey Cushing (1869-1939) in neurosurgery.

Methods: The writing of this project was sparked by the discovery of original scientific and bibliographical information about Cushing.

View Article and Find Full Text PDF

Objective: The study aimed to investigate the damage of white matter (WM) microstructure and structural network in patients with systemic lupus erythematosus (SLE) using diffusion tensor imaging.

Methods: Tract-based spatial statistics (TBSS) were used to compare the difference in WM fractional anisotropy (FA) between SLE and HCs groups. The differences in WM networks between groups are compared using graph theory.

View Article and Find Full Text PDF

In clustered cognitive radio sensor networks (CRSNs), availability of free channels, spectrum sensing and energy utilization during clustering and cluster head (CH) selection is essential for fairness of time and event-driven data traffic. The existing multi-hop routing protocols in CRSNs generally adopt a perfect spectrum sensing which is not same in the practical spectrum sensing of nodes in real networks. High imbalance in residual energy between the selected CHs negatively impacts the delivery of data packets.

View Article and Find Full Text PDF

Objectives: We evaluated the noise reduction effects of deep learning reconstruction (DLR) and hybrid iterative reconstruction (HIR) in brain computed tomography (CT).

Methods: CT images of a 16 cm dosimetry phantom, a head phantom, and the brains of 11 patients were reconstructed using filtered backprojection (FBP) and various levels of DLR and HIR. The slice thickness was 5, 2.

View Article and Find Full Text PDF

Purpose: Functional septorhinoplasty is an effective treatment for nasal airway obstruction. Little distinction exists between bilaterally and unilaterally obstructed patients in literature. Our study evaluates outcomes in patients with unilateral nasal airway obstruction compared to those with bilateral nasal airway obstruction as measured by nasal obstruction symptom evaluation scores following functional septorhinoplasty.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!