Repeatability of Zone Averages Compared to Single-Point Measurements of Maximal Curvature in Keratoconus

Asroui, Lara; Mehanna, Carl-Joe; Salloum, Ali; Chalhoub, Reda M; Roberts, Cynthia J.; Awwad, Shady T.

doi:10.1016/j.ajo.2020.08.011

Cited by 15 publications

(8 citation statements)

References 34 publications

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“…As opposed to the diagnosis of keratoconus, monitoring disease progression has still not made significant improvements, but our understanding of progression has improved markedly. The repeatability of measurements in eyes with keratoconus is still a concern [68][69][70][71], especially in moderate to advanced disease with kmax >50 D [72,73]. Our group has shown that 3 and 4 mm zone averaging of data points centered on Kmax had significantly better repeatability than single point kmax [73].…”

Section: Monitoring Keratoconus Progressionmentioning

confidence: 75%

“…The repeatability of measurements in eyes with keratoconus is still a concern [68][69][70][71], especially in moderate to advanced disease with kmax >50 D [72,73]. Our group has shown that 3 and 4 mm zone averaging of data points centered on Kmax had significantly better repeatability than single point kmax [73]. The ABCD keratoconus grading system, initially described on the Pentacam by Belin [74], has also been proposed as a promising means by which to assess disease progression, even after cross-linking [75,76].…”

Section: Monitoring Keratoconus Progressionmentioning

confidence: 99%

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Current Advances in Keratoconus Imaging

Awwad

Asroui

2021

Keratoconus

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Section: Monitoring Keratoconus Progressionmentioning

confidence: 75%

Section: Monitoring Keratoconus Progressionmentioning

confidence: 99%

Current Advances in Keratoconus Imaging

Awwad

Asroui

2021

Keratoconus

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“…Based on the top 10 parameters from that list (see Table S1 ), 6 nonredundant, potentially platform-independent parameters were selected: age, known to affect KC progression [ 11 , 26 ]; the average keratometry in a 3 mm area around the maximum keratometry (KmaxZonalMean3mm) [ 27 ]; the steepest radius (RsF) and best fit sphere over an area of 8 mm (BFSF) of the front surface; and the average radius of the back surface (RmB) and LOGIK [ 18 ], which is based on the elevation maps of both corneal surfaces and the minimum pachymetry. None of the parameters included were based on a single corneal point.…”

Section: Methodsmentioning

confidence: 99%

Forecasting Progressive Trends in Keratoconus by Means of a Time Delay Neural Network

Jiménez‐García

Issarti

Kreps

et al. 2021

JCM

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Early and accurate detection of keratoconus progression is particularly important for the prudent, cost-effective use of corneal cross-linking and judicious timing of clinical follow-up visits. The aim of this study was to verify whether a progression could be predicted based on two prior tomography measurements and to verify the accuracy of the system when labelling the eye as stable or suspect progressive. Data from 743 patients measured by Pentacam (Oculus, Wetzlar, Germany) were available, and they were filtered and preprocessed to data quality needs. The time delay neural network received six features as input, measured in two consecutive examinations, predicted the future values, and determined the classification (stable or suspect progressive) based on the significance of the change from the baseline. The system showed a sensitivity of 70.8% and a specificity of 80.6%. On average, the positive and negative predictive values were 71.4% and 80.2%. Including data of less quality (as defined by the software) did not significantly worsen the results. This predictive system constitutes another step towards a personalized management of keratoconus. While the results obtained were modest and perhaps insufficient to decide on a surgical procedure, such as cross-linking, they may be useful to customize the timing for the patient’s next follow-up.

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“…Актуальность. Эндотелиальная микроскопия играет важную роль при измерении плотности эндотелиальных клеток роговицы для клинической диагностики, клинических исследований, а также при оценке эндотелия до и после оперативных вмешательств на роговице [1].…”

Section: For Citationunclassified

Роль Эндотелиальной Микроскопии Роговицы При Диагностике Кератоэктазии

Kamilov¹,

Kasimova²,

Хамраева³

et al. 2023

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Актуальность. Эндотелиальная микроскопия играет важную роль при измерении плотности эндотелиальных клеток роговицы для клинической диагностики, клинических исследований, а также при оценке эндотелия до и после оперативных вмешательств на роговице. Цель исследования. Сравнительный анализ структуры роговицы при кератоэктазиях различной этиологии. Материал и методы. Под нашим наблюдением находились 11 человек (22 глаза), которые были разделены на 2 группы. Первую группу составили 6 больных (12 глаз) с кератоэктазией развившейся после рефракционных операций. Вторую контрольную группу составили 5 (10 глаз) практически здоровых людей без офтальмопатологии. Всем больным, помимо стандартного офтальмологического обследования, была проведена эндотелиальная микроскопия роговицы. Результаты. Данные субъективных методов не определяют ранние признаки кератоконуса развившегося после рефракционных операций. Поэтому мы использовали обследование эндотелиальной микроскопии для качественного и количественного определения изменений структуры роговицы при ранних стадиях кератоконуса. Результаты исследования с применением эндотелиальной микроскопии отличались клиническим многообразием. Наиболее выраженные изменения наблюдались в области роговицы, вовлеченной в эктатический процесс. Выводы. При ранних стадиях кератоконуса в результате дегенеративных изменений выявлено уменьшение количества эндотелиальных клеток на 26,3%, уменьшение средней плотности эндотелиальных клеток на 58,5%. Изменения эндотелия роговицы проявляются в виде полиморфизма и полимегатизма клеток. Раннее применение эндотелиальной микроскопии позволяет оценить состояние роговицы и принять необходимые меры при ранних стадиях кератоконуса.

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Repeatability of Zone Averages Compared to Single-Point Measurements of Maximal Curvature in Keratoconus

Cited by 15 publications

References 34 publications

Current Advances in Keratoconus Imaging

Current Advances in Keratoconus Imaging

Forecasting Progressive Trends in Keratoconus by Means of a Time Delay Neural Network

Роль Эндотелиальной Микроскопии Роговицы При Диагностике Кератоэктазии

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