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DOI 10.1016/s0886-3350(00)00830-0

Медицинская библиотека · Journal of cataract and refractive surgery · 2001

Predicting sulcus size using ocular measurements.

Pop M, Payette Y, Mansour M

СтатьяПеревод пока не подготовлен

Аннотация

PURPOSE: To predict sulcus size using ocular measurements.

SETTING

Michel Pop Clinics, Montreal, Quebec, Canada.

METHODS

Forty-three eyes were evaluated using several techniques. Ultrasound biomicroscopy (UBM) echograms were taken to measure the anterior chamber depth (ACD), sulcus size, and central corneal thickness. The limbus size was measured with a caliper. Axial length, ACD, and pachymetry were measured by contact ultrasonography. Refraction and corneal power were also evaluated.

RESULTS

The coefficient of linear regression was 0.05 between the limbus and the sulcus size (P =.78), 0.76 between ultrasonography and UBM ACD measurements (P <.001), and 0.69 between ultrasonography and UBM pachymetry (P <.001). Paired t tests showed that ultrasound and UBM ACD measurements were not statistically different (P =.70) but that ultrasound and UBM pachymetry measurements were (P <.001). The sulcus versus limbus difference was 0.6 mm for myopia and 0.3 mm for hyperopia. A backward elimination multiple regression performed with all measures to predict sulcus size resulted in the following formula: Sulcus size = 18.9 - 0.023 x sphere + 0.15 x mean keratometry (R = 0.49; P =.005; statistical power = 0.89; standard error of estimate = 0.5 mm).

CONCLUSION

Traditional estimation of sulcus size through limbal measurement is inadequate because limbus size alone cannot predict sulcus size. A general formula using the sphere and the mean corneal power can help predict sulcus size. Corneal power was significantly and negatively correlated with sulcus and limbus size as well as sphere. The standard error of sulcus measurement by UBM was 0.4 mm.

Для цитирования: Pop M, Payette Y, Mansour M. Predicting sulcus size using ocular measurements.. Journal of cataract and refractive surgery. 2001. DOI: 10.1016/s0886-3350(00)00830-0.

Предметные рубрики MeSH

Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
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