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Détail de l'auteur
Auteur Meng C. Lin
Documents disponibles écrits par cet auteur
Ajouter le résultat dans votre panier Affiner la rechercheClinical Report: Midday Removal and Reinsertion of Soft Contact Lens Cannot Prevent Post-lens Tear-film Hyperosmolarity / Hyun Kim in OVS : Optometry & Vision Science, vol. 99, 08 (Aout 2022)
[article]
in OVS : Optometry & Vision Science > vol. 99, 08 (Aout 2022)
Titre : Clinical Report: Midday Removal and Reinsertion of Soft Contact Lens Cannot Prevent Post-lens Tear-film Hyperosmolarity Type de document : article de périodique Auteurs : Hyun Kim ; Thien Nguyen ; Meng C. Lin ; Cheng-Chun Peng ; Clayton J. Radke Année de publication : 2022 Langues : Français (fre) Descripteurs (mots clés) : [Thésaurus Mesh]Lentilles de contact
[Thésaurus HELB]:Optique:Lentille souple
[Thésaurus HELB]:Optique:Lentille souple/ utilisation
[Thésaurus HELB]:Optique:port de lentilles de contactMots-clés : film lacrymale osmolarité Résumé : SIGNIFICANCE: Our analysis shows that post-lens tear-film (PoLTF) hyperosmolarity is not preventable with midday removal and reinsertion of soft contact lenses. However, low lens-salt diffusivity can prevent the PoLTF from becoming hyperosmotic. Lens-salt diffusivity should be lowered to minimize PoLTF osmolarity while also avoiding lens adhesion. PURPOSE: Soft contact lenses with high lens-salt diffusivity result in hyperosmotic PoLTFs. If the time it takes for PoLTF osmolarity to reach periodic steady state is multiple hours, simple midday lens removal and reinsertion can prevent the PoLTF from becoming hyperosmotic. We investigate whether midday removal and reinsertion of a soft contact lens can prevent the PoLTF from becoming hyperosmotic. METHODS: Time to periodic steady state for PoLTF osmolarity upon soft-contact-lens wear is determined with a previously developed transient tear-dynamics continuum model. Interblink period, lens-salt diffusivity, and lens thickness was varied to assess their effects on time to periodic steady state for PoLTF osmolarity. Time to periodic steady states were assessed for both normal and dry eyes. RESULTS: Within the physically realistic ranges of lens-salt diffusivity, lens thickness, and interblink period, PoLTF osmolarity reaches the periodic steady state well within the first hour of lens wear for both normal and dry eyes. Time to periodic steady state for PoLTF osmolarity is predominately dictated by the salt transport across the contact lens between the PoLTF and the pre-lens tear film and water transport from the ocular surface to the PoLTF. CONCLUSIONS: Since the time to periodic steady state is less than 1 hour for physically realistic ranges of lens-salt diffusivity, interblink period, and lens thickness, midday lens removal and reinsertion cannot prevent PoLTF hyperosmolarity. Instead, focus should be on using soft contact lenses with low salt diffusivity to prevent PoLTF hyperosmolarity. Permalink : https://bibliotheque.helb-prigogine.be/opac_css/index.php?lvl=notice_display&id= [article]Exemplaires
Cote Support Localisation Section Disponibilité aucun exemplaire Corneal Health during Three Months of Scleral Lens Wear / Vivien Tse in OVS : Optometry & Vision Science, vol. 97, 09 (Septembre 2020)
[article]
in OVS : Optometry & Vision Science > vol. 97, 09 (Septembre 2020)
Titre : Corneal Health during Three Months of Scleral Lens Wear Type de document : article de périodique Auteurs : Vivien Tse ; Tan Truong ; Yixiu Zhou ; Kristina Lin ; Bo Tan ; Meng C. Lin Année de publication : 2020 Langues : Français (fre) Descripteurs (mots clés) : [Thésaurus HELB]:Optique:port de lentilles de contact
[Thésaurus HELB]:Paramédical:fluorométrie
[Thésaurus HELB]:Paramédical:Lentille sclérale
[Thésaurus Mesh]Cornée
[Thésaurus Mesh]Nerf optiquePermalink : https://bibliotheque.helb-prigogine.be/opac_css/index.php?lvl=notice_display&id= [article]Exemplaires
Cote Support Localisation Section Disponibilité aucun exemplaire Meibomian Gland Contrast Sensitivity and Specificity in the Diagnosis of Lipid-deficient Dry Eye: A Pilot Study / Thao Yeh in OVS : Optometry & Vision Science, vol. 98, 02 (Février 2021)
[article]
in OVS : Optometry & Vision Science > vol. 98, 02 (Février 2021)
Titre : Meibomian Gland Contrast Sensitivity and Specificity in the Diagnosis of Lipid-deficient Dry Eye: A Pilot Study Type de document : article de périodique Auteurs : Thao Yeh ; Meng C. Lin Année de publication : 2021 Langues : Français (fre) Descripteurs (mots clés) : [Thésaurus HELB]:Paramédical:Dysfonctionnements
[Thésaurus Mesh]:S:Syndromes de l'oeil sec:Syndromes de l'oeil sec / étiologie
[Thésaurus Mesh]Collecte de données
[Thésaurus Mesh]Glandes tarsales
[Thésaurus Mesh]Syndromes de l'oeil secMots-clés : carence lipidique carence aqueuse Résumé : SIGNIFICANCE: Lipid deficiency due to meibomian gland (MG) dysfunction is believed to account for the vast majority of patients with dry eye compared with aqueous deficiency. Clinicians commonly evaluate MG length to determine a disease, but our research with isotretinoin users suggests that MG contrast is also an important
characteristic to consider.
PURPOSE: This study aimed to determine the sensitivity and specificity of MG contrast for the diagnosis of
lipid-deficient dry eye (LDDE).
METHODS: This case-control study used demographic data, Standard Patient Evaluation of Eye Dryness (SPEED)
scores, average tear lipid layer thickness (TLLT), fluorescein tear breakup time (FTBUT), upper eyelid meibography
images, and meibum quality and quantity scores for individuals with LDDE (SPEED score ≥10 and TLLT ≤35 interferometric color units) and normal individuals (SPEED ≤2 and TLLT ≥80 interferometric color units).
RESULTS: Thirty-one eyes of 22 controls (mean ± SD age, 22.7 ± 5.5 years) and 13 eyes of 12 cases (mean ±
SD age, 43.9 ± 17.2 years) were included. Normalized MG contrast was significantly correlated with FTBUT
(r = 0.35, P = .02), percent MG atrophy (r = −0.50, P < .001), and SPEED scores (r = −0.49, P < .001). The receiver operating characteristic curve for LDDE diagnosis classifiers MG contrast, MG atrophy, and meibum quantity
score had areas under the curve of 0.83, 0.64, and 0.73, respectively. Meibomian gland contrast cutoff at 28.3
intensity units yielded optimal correct classification of subjects (84.1%; sensitivity, 0.69; specificity, 0.90). Cases
had shorter FTBUT (P < .001), worse meibum quality (P = .02) and quantity (P = .02) scores, and lower MG contrast (P < .001) compared with controls. Subjects with low MG contrast (≤28.3) had 14.9 higher odds of having
LDDE (95% confidence interval, 2.84 to 78.4) compared with subjects with high MG contrast (>28.3).
CONCLUSIONS: Meibomian gland contrast correlates well with clinical parameters and symptoms, shows good
sensitivity and excellent specificity for diagnosing LDDE, and can be a useful diagnostic parameter for monitoring
MG changes due to age, disease, or intervention.Permalink : https://bibliotheque.helb-prigogine.be/opac_css/index.php?lvl=notice_display&id= [article]Exemplaires
Cote Support Localisation Section Disponibilité aucun exemplaire Quantifying Meibomian Gland Morphology Using Artificial Intelligence / Jiayun Wang in OVS : Optometry & Vision Science, vol. 98, 09 (Septembre 2021)
[article]
in OVS : Optometry & Vision Science > vol. 98, 09 (Septembre 2021)
Titre : Quantifying Meibomian Gland Morphology Using Artificial Intelligence Type de document : article de périodique Auteurs : Jiayun Wang ; Thao Yeh ; Rudrasis Chakraborty ; Stella X. Yu ; Meng C. Lin Année de publication : 2021 Langues : Français (fre) Descripteurs (mots clés) : [Thésaurus Mesh]Diagnostic
[Thésaurus Mesh]Intelligence artificielle
[Thésaurus HELB]:Paramédical:Glandes de MeibomiusMots-clés : anomalie morphologique meibographie Résumé : SIGNIFICANCE
Quantifying meibomian gland morphology from meibography images is used for the diagnosis, treatment, and management of meibomian gland dysfunction in clinics. A novel and automated method is described for quantifying meibomian gland morphology from meibography images.
PURPOSE
Meibomian gland morphological abnormality is a common clinical sign of meibomian gland dysfunction, yet there exist no automated methods that provide standard quantifications of morphological features for individual glands. This study introduces an automated artificial intelligence approach to segmenting individual meibomian gland regions in infrared meibography images and analyzing their morphological features.
METHODS
A total of 1443 meibography images were collected and annotated. The dataset was then divided into development and evaluation sets. The development set was used to train and tune deep learning models for segmenting glands and identifying ghost glands from images, whereas the evaluation set was used to evaluate the performance of the model. The gland segmentations were further used to analyze individual gland features, including gland local contrast, length, width, and tortuosity.
RESULTS
A total of 1039 meibography images (including 486 upper and 553 lower eyelids) were used for training and tuning the deep learning model, whereas the remaining 404 images (including 203 upper and 201 lower eyelids) were used for evaluations. The algorithm on average achieved 63% mean intersection over union in segmenting glands, and 84.4% sensitivity and 71.7% specificity in identifying ghost glands. Morphological features of each gland were also fed to a support vector machine for analyzing their associations with ghost glands. Analysis of model coefficients indicated that low gland local contrast was the primary indicator for ghost glands.
CONCLUSIONS
The proposed approach can automatically segment individual meibomian glands in infrared meibography images, identify ghost glands, and quantitatively analyze gland morphological features.Note de contenu : Pas de pdf disponible pour l'instant octobre 2021 Permalink : https://bibliotheque.helb-prigogine.be/opac_css/index.php?lvl=notice_display&id= [article]Exemplaires
Cote Support Localisation Section Disponibilité aucun exemplaire