Study of Morpho-Geometric Variables to Improve the Diagnosis in Keratoconus with Mild Visual Limitation

Cavas-Martínez, Francisco; Fernández-Pacheco, Daniel G.; Cañavate, Francisco J. F.; Cavas, Francisco; Bolarín, José Miguel; Alió, Jorge L.

doi:10.3390/sym10080306

Cited by 16 publications

(18 citation statements)

References 39 publications

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“…However, it is important to note that this research focused on a limited number of patients, it should be reproduced many times with a higher number of patients as shown for other methodologies in [15,16].…”

Section: Discussionmentioning

confidence: 99%

Paediatric Orthopaedic Surgery with 3D Printing: Improvements and Cost Reduction

et al. 2019

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This paper presents a a novel alghorithm of diagnosis and treatment of rigid flatfoot due to tarsal coalition. It introduces a workflow based on 3D printed models, that ensures more efficiency, not only by reducing costs and time, but also by improving procedures in the preoperative clinical phase. Since this paper concerns the development of a new methodology that integrates both engineering and medical fields, it highlights symmetry. An economic comparison is made between the traditional method and the innovative one; the results demonstrate a reduction in costs with the latter. The current, traditional method faces critical issues in diagnosing the pathologies of a limb (such as the foot) and taking decisions for further treatment of the same limb. The proposed alternative methodology thus uses new technologies that are part of the traditional workflow, only replacing the most obsolete ones. In fact, it is increasingly becoming necessary to introduce new technologies in orthopedics, as in other areas of medicine, to offer improved healthcare services for patients. Similar clinical treatments can be performed using the aforementioned technologies, offering greater effectiveness, more simplicity of approach, shorter times, and lower costs. An important technology that fits into this proposed methodology is 3D printing.

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Section: Discussionmentioning

confidence: 99%

Paediatric Orthopaedic Surgery with 3D Printing: Improvements and Cost Reduction

et al. 2019

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“…Each case selected to form part of this research was examined using a Sirius System ® tomographer (Costruzione Strumenti Oftalmici, Florence, Italy), following the specifications of a validated procedure previously created by our research group, which is clearly explained in former research works [2,34]. This procedure is effective when used for both the diagnosis and characterization of KC [35,36], and comprises two phases: 3D virtual modeling, followed by a morpho-geometric analysis.…”

Section: Methodsmentioning

confidence: 99%

A Machine-Learning Model Based on Morphogeometric Parameters for RETICS Disease Classification and GUI Development

2020

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This work pursues two objectives: defining a new concept of risk probability associated with suffering early-stage keratoconus, classifying disease severity according to the RETICS (Thematic Network for Co-Operative Research in Health) scale. It recruited 169 individuals, 62 healthy and 107 keratoconus diseased, grouped according to the RETICS classification: 44 grade I; 18 grade II; 15 grade III; 15 grade IV; 15 grade V. Different demographic, optical, pachymetric and eometrical parameters were measured. The collected data were used for training two machine-learning models: a multivariate logistic regression model for early keratoconus detection and an ordinal logistic regression model for RETICS grade assessments. The early keratoconus detection model showed very good sensitivity, specificity and area under ROC curve, with around 95% for training and 85% for validation. The variables that made the most significant contributions were gender, coma-like, central thickness, high-order aberrations and temporal thickness. The RETICS grade assessment also showed high-performance figures, albeit lower, with a global accuracy of 0.698 and a 95% confidence interval of 0.623–0.766. The most significant variables were CDVA, central thickness and temporal thickness. The developed web application allows the fast, objective and quantitative assessment of keratoconus in early diagnosis and RETICS grading terms.

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“…With the help of this technology, the spatial coordinates from multiple points of both anterior and posterior surfaces of the cornea can be obtained. The most reliable data for building the corneal geometrical model is the raw elevation data of the posterior and anterior parts of the cornea that has not been manipulated by any software algorithm in the topography device 26 . Hence, in the first step, the elevation data of the anterior and posterior parts of cornea were extracted from the device in the form of comma-separated values (CSV format).…”

Section: Methodsmentioning

confidence: 99%

An innovative approach for determining the customized refractive index of ectatic corneas in cataractous patients

Pirhadi

Maghooli

Jadidi

2020

Sci Rep

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The aim of this study is to determine the customized refractive index of ectatic corneas and also propose a method for determining the corneal and IOL power in these eyes. Seven eyes with moderate and severe corneal ectatic disorders, which had been under cataract surgery, were included. At least three months after cataract surgery, axial length, cornea, IOL thickness and the distance between IOL from cornea, and aberrometry were measured. All the measured points of the posterior and anterior parts of the cornea converted to points cloud and surface by using the MATLAB and Solidworks software. The implanted IOLs were designed by Zemax software. The ray tracing analysis was performed on the customized eye models, and the corneal refractive index was determined by minimizing the difference between the measured aberrations from the device and resulted aberrations from the simulation. Then, by the use of preoperative corneal images, corneal power was calculated by considering the anterior and posterior parts of the cornea and refractive index of 1.376 and the customized corneal refractive index in different regions and finally it was entered into the IOL power calculation formulas. The corneal power in the 4 mm region and the Barrett formula resulted the prediction error of six eyes within ± 1 diopter. It seems that using the total corneal power along with the Barrett formula can prevent postoperative hyperopic shift, especially in eyes with advanced ectatic disorders.

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Study of Morpho-Geometric Variables to Improve the Diagnosis in Keratoconus with Mild Visual Limitation

Cited by 16 publications

References 39 publications

Paediatric Orthopaedic Surgery with 3D Printing: Improvements and Cost Reduction

Paediatric Orthopaedic Surgery with 3D Printing: Improvements and Cost Reduction

A Machine-Learning Model Based on Morphogeometric Parameters for RETICS Disease Classification and GUI Development

An innovative approach for determining the customized refractive index of ectatic corneas in cataractous patients

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