Evidence map›Paper›PMID 42351545›Full record

ReviewDiagnostics (Basel, Switzerland)2026

Qualitative and Quantitative Assessment of Vitreous Inflammation in Uveitis: Current Limitations and Emerging Diagnostic Approaches.

Maria Carmela Saturno, Oscar Matteo Gagliardi, Maurizio La Cava, Chiara Ciccarè, Alice Bruscolini, Alessandro Lambiase, Danilo Iannetta

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2026. 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
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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

7 authors.

Maria Carmela SaturnoDepartment of Sense Organs, Sapienza University of Rome, 00161 Rome, Italy.
Oscar Matteo GagliardiDepartment of Sense Organs, Sapienza University of Rome, 00161 Rome, Italy.
Maurizio La CavaDepartment of Sense Organs, Sapienza University of Rome, 00161 Rome, Italy.
Chiara CiccarèDepartment of Sense Organs, Sapienza University of Rome, 00161 Rome, Italy.
Alice BruscoliniDepartment of Sense Organs, Sapienza University of Rome, 00161 Rome, Italy.ORCID 0000-0002-1627-5493
Alessandro LambiaseDepartment of Sense Organs, Sapienza University of Rome, 00161 Rome, Italy.ORCID 0000-0002-8974-991X
Danilo IannettaDepartment of Sense Organs, Sapienza University of Rome, 00161 Rome, Italy.ORCID 0000-0002-8532-4578

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate assessment of vitreous inflammation is essential for the diagnosis, monitoring and management of uveitis. Traditionally, vitritis has been evaluated using subjective clinical grading systems based on vitreous haze and cellular infiltration, which are limited by interobserver variability and poor reproducibility, particularly in cases of mild or subclinical inflammation. In recent years, advances in ocular imaging have enabled the development of more objective, quantitative approaches. Ultra-widefield imaging, optical coherence tomography (OCT) and ultrasound-based techniques have provided new insights into structural alterations within the vitreous. In parallel, automated image analysis and artificial intelligence (AI)-based methods have improved the detection and quantification of inflammatory biomarkers, including vitreous hyperreflective foci and signal intensity-based metrics. Despite these advances, important limitations remain, including a restricted field of view, a lack of standardized segmentation algorithms and an incomplete representation of the entire vitreous cavity. No single modality currently provides a comprehensive and fully reproducible assessment of vitreous inflammation. This review summarizes current qualitative and quantitative methods for evaluating vitreous inflammation, highlighting their respective strengths and limitations. In addition, emerging diagnostic strategies, including multimodal imaging integration, AI-driven analysis and molecular biomarker profiling, are discussed as potential tools to improve accuracy, standardization and clinical applicability. The transition from subjective grading toward objective quantification of inflammatory burden represents a key step in advancing both clinical management and research in ocular inflammatory diseases.

Indexed as

artificial intelligencebiomarkersoptical coherence tomographyquantitative imaginguveitisvitreous inflammationvitritis

Identifiers

PMID42351545
PMCPMC13298041

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Registered trials

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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.