Evidence map›Paper›PMID 38516520›Full record

ArticleActa medica Lituanic2023

Utility of High-Resolution Ultrasonography in the Evaluation of Posterior Segment Ocular Lesions Using Sensitivity and Specificity.

Deb K Boruah, Daisy Vishwakarma, Pallavi Gogoi, Navneet R Lal, Arup Deuri

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Article in Acta medica Lituanic, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.8field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Deb K BoruahAll India Institute of Medical Sciences, Guwahati, Assam, India.
Daisy VishwakarmaDepartment of Ophthalmology, Assam Medical College & Hospital, Dibrugarh Assam, India.
Pallavi GogoiDepartment of Library and Information Science, DHSK College, Dibrugarh, Assam, India.
Navneet R LalDepartment of Radio-diagnosis, Assam Medical College & Hospital, Assam, India.
Arup DeuriDepartment of Ophthalmology, Lakhimpur Medical College & Hospital, Lakhimpur Assam, India.
Assam Medical College · INAll India Institute of Medical Sciences Guwahati

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: High-resolution Ultrasound (USG) provides good anatomical details of the ocular posterior segment and depicts the various pathological conditions affecting the ocular posterior segment, which helps ophthalmologists for choosing the best treatment options. This study aims to evaluate the utility of High-resolution Ultrasonography in the Evaluation of Posterior Segment Ocular lesions by using Sensitivity and Specificity. Materials and Methods: A hospital-based retrospective study enrolled 81 patients in a tertiary care hospital. Clinical and ophthalmological examinations were performed followed by USG of the orbits. B-mode USG was done with a 7.5-13 MHz linear probe. The final diagnosis was made by correlating the USG findings with clinical and ophthalmological examinations. Statistical analysis: Sensitivity, specificity, the positive predictive value, the negative predictive value, and the accuracy of B-scan USG were compared with the ophthalmological findings by using the Chi-square test. Results: Of 81 patients (n=48 males and n=33 females) with a mean age of 38.98 ± 16.48 [SD] years, posterior segment ocular lesions in association with cataracts were found in 27 (33.3%) patients, whereas 14 (51.9%) patients had posterior vitreous detachment (PVD), 10 (37%) patients had retinal detachment (RD), and 1 (3.7%) patient had choroidal detachment (CD). Posterior segment ocular pathologies were found in 17 (21%) patients with blunt ocular injuries, whereas 8 (47.1%) patients had PVD, 4 (23.5%) patients had RD and 4 (23.5%) patients had CD. The ocular USG had a sensitivity of 87.32%, specificity of 80%, and accuracy of 86.42% with a statistically significant difference between the USG findings and the Ophthalmology diagnosis of the posterior segment ocular abnormalities of a Conclusion: High-resolution ultrasound is one of the best and an easily available imaging modality for the evaluation of posterior segment ocular pathologies, especially in the presence of opaque ocular media.

Indexed as

choroidal detachment (CD)posterior segmentposterior vitreous detachment (PVD)retinal detachment (RD)ultrasonography (USG)

Identifiers

PMID38516520
PMCPMC10952424
OpenAlexW4387741125

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.