Evidence map›Paper›PMID 37910299›Full record

ArticleInternational ophthalmology2023

Sector area index: a novel supporting marker for blepharoptosis screening and grading.

Tahereh Mahmoudi, Hamid Riazi-Esfahani, Zahra Montazeriani, Mehdi Yaseri, Zahra Mehdipour Namdar, Mohsen Jamali, Seyed Mohsen Rafizadeh, Elias Khalili Pour

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Article in International ophthalmology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 citing paper in PubMed.

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5 · Who and what money

Authors and funding

8 authors.

Tahereh MahmoudiDepartment of Medical Physics and Biomedical Engineering, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Hamid Riazi-EsfahaniFarabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran.ORCID http://orcid.org/0000-0003-2277-398X
Zahra MontazerianiDepartment of Medical Physics and Biomedical Engineering, Sciences and Advanced Medical Technologies and Equipment Institute (AMTEI), Tehran University of Medical, Tehran, Iran.
Mehdi YaseriDepartment of Biostatistics and Epidemiology, Tehran University of Medical Sciences, Tehran, Iran.
Zahra Mehdipour NamdarShiraz University of Medical Sciences, Shiraz, Iran.
Mohsen JamaliDepartment of Neurosurgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Seyed Mohsen RafizadehOrbital and Oculoplastics Service, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran. mohsen_raf1354@yahoo.com.ORCID http://orcid.org/0000-0002-5480-590X
Elias Khalili PourFarabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran.ORCID http://orcid.org/0000-0001-8123-4375

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo introduce a new supporting marker for discriminating different grades of ptosis called Sector Area Index (SAI) and a semi-automated technique to calculate it.

methodsIn this cross-sectional comparative case series, a circle enclosing the intercanthal distance was automatically drawn after choosing two points as the medial and lateral canthus and manually selecting the palpebral fissure region. Finally, 15-degree apart sectors are applied to the enclosed circle. SAI was measured automatically by dividing the area of each 15-degree sector marked with the upper eyelid contour by the total area of the sector marked with the edge of the surrounding circle. SAI values and inter-eye SAI differences were compared between patients with different grades of ptosis as well as normal patients.

resultsIn the current study, 106 eyes were recruited (30, 25, 27, and 24 in the control, mild, moderate, and severe ptosis groups, respectively). Mean values of SAI in all sectors showed a decreasing trend from normal individuals toward patients with severe ptosis. The mean difference values of SAI between study eyes and fellow eyes in all four groups of patients showed a statistically significant difference (p < 0.05). In a pairwise comparison between groups, mean values of SAI in all nasal sectors from 15° to 60° showed a statistically significant difference between all groups (p < 0.05).

conclusionThe mean difference of SAI between study eyes and fellow eyes, including eyelid curvature, especially in 15°-60° and 120°-165° sectors, can demonstrate differentiating performance for detecting and discriminating varying grades of ptosis.

Indexed as

BlepharoplastyBlepharoptosisCross-Sectional StudiesEyelidsHumansOculomotor MusclesRetrospective StudiesAutomated ptosis detectionBlepharoptosisMargin reflex distanceMarker

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