Active clinical trials for "Cataract"

The crystalline lens of the human eye helps to sharpen vision. There can be issues with the support/stability of the lens. This could be seen with the naked eye of an external observer or with the use of a slit lamp. Certain eye conditions can predispose to issues with lens stability. If patients have stability issues with their natural lens- this would be termed as "phakodonesis". However, in patients who have had prior cataract surgery with implantation of an artificial lens (IOL)- this would be termed as "pseudophakodonesis". Eye conditions such as pseudoexfoliation or Marfan-syndrome can lead to unstable lens support- this can be detected if there are advanced stability issues. However, small instability in the eye's would not be detected with present descriptive methods. The authors have designed a high-speed camera which is able to detect stability of the lens, especially during eye movements. The high-speed camera can detect variation in the change of light reflex from the lens and calculate the amount of lens instability/oscillation. The results (in normal eyes) of this high-speed camera has already been published in a peer-review journal. It is non-contact and measures lens movement. The test lasts less than 5 minutes. Further research is required to assess the amount of lens oscillation (wobbling) in different eye populations - patients with previous cataract surgery (an artificial implant is used to replace the lens) or eye conditions (such as pseudoexfoliation, Marfan syndrome). The amount of lens stability has a role in the planning of further intraocular surgery - especially cataract extraction - however, at present, there is no approved quantitative measurement for this. Participants will be recruited through Anglia Ruskin University (educational establishment), local community groups, and through Southend University Hospital eye clinics (NHS organisation). Participants' data will remain anonymous.

Adults who undergo cataract surgery will be questioned after surgery about the eventual pain they experienced, about their health history, personal treatment. If they accept to be included in the study we'll record different parameters related to the surgery: type of anesthesia, duration of surgery, machines used, unexpected events, particularities noticed by the surgeon, etc. There will be no unusual intervention, everything will be run exactly as if there was no study. No additional consultation needed.

To study the pathological mechanism of cataract by genomics, transcriptomics, and proteomics.

The ocular biometric parameters of the children with congenital cataract including preoperative pupil diameter, corneal diameter, axial length, anterior and posterior capsule size, iris adhesion. And then analysis whether the preoperative parameters were correlated with the implantation site of secondary implantation.

Deep learning allows you to classify images using a self-learning algorithm. Transfer learning builds on an existing self-learning algorithm to enable image classification with fewer images. In this study, this technique will be applied to different image modalities in different syndromes. Retrospective study design.

Before cataract surgery, subjects in the observation group used iTrace ocular aberration analyzer（itracey Technologies）and IOL-Master 700 biometer to measure the preoperative DLI(Dysfunctional lens index) and SS-OCT image of the lens, and The researchers used the anterior segment slit lamp to take photos of the anterior segment of the subject's lens in a state of dilated pupils .and self-scoring of the preoperative visual quality assessment scale. Healthy subjects in the control group also need to complete the above inspections. After that, three experienced cataract specialist surgeons combined the preoperative optometry data of each subject, the photos of the LOCS III anterior segment and the Catquest-9SF questionnaire score to determine whether each subjects should undergo cataract surgery. The subjects were divided into cataract surgery group and non-surgical group. Finally, statistically study the correlation between the DLI index and the degree of lens opacity that has been collected, and use the ROC curve to calculate the DLI as the best cut-off point of DLI to distinguish whether to perform cataract surgery.

The objective of this investigator initiated study (IIT-001) is to obtain data on clinical methods which can be used during the examination of patients desiring binocular custom vision with the Light Adjustable Lens (LAL). An analysis of the collected data will be performed to determine whether these clinical assessments can be used by doctors to enhance their patient's clinical outcome.

To study the correlation between three different lens nuclear opacity classification methods and intraoperative phacoemulsification parameters .

The purpose of this study is to evaluate the visual performance of a trifocal intraocular lens at distance, near and intermediate viewing, by way of visual acuity measurement, contrast sensitivity. Patient satisfaction and quality of vision will also be assessed by way of a questionnaire.

This retrospective study comprised patients with cataract, corneal astigmatism, and motivation for spectacle independence. In all cases, a multifocal and monofocal Intraocular Lens was been implanted in the capsular bag. Three months postoperatively, distance, intermediate, and near visual acuities; spherical equivalent; residual refractive astigmatism; defocus curve; and contrast sensitivity was evaluated. A patient-satisfaction and visual phenomena questionnaire was also been administered.