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American Journal of Opthalmology

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Evidence and Consensus-Based Imaging Guidelines in Noninfectious Posterior Uveitis—Methodology of the Multimodal Imaging in Uveitis (MUV) Project Report 2 - 13/09/25

Doi : 10.1016/j.ajo.2025.06.033 
Vishali Gupta 1, ⁎ , Janet L Davis 2, ⁎ , Sapna Gangaputra 3, Soon P Chee 4, Jennifer E Thorne 5, 6, Rupesh Agrawal 7, 8, 9, 10, Alessandro Invernizzi 11, 12, Aniruddha Agarwal 13, 14, Marc D de Smet 15, David Sarraf 16, Douglas A Jabs 5, 17
on behalf of the

Multimodal Imaging in Uveitis (MUV) Taskforcea

  Complete list of task force members in Appendix I.

1 From the Advanced Eye Centre (V.G.), Postgraduate Institute of Medical Education and Research, Chandigarh, India 
2 Department of Ophthalmology (J.L.D.), University of Miami Miller School of Medicine, Bascom Palmer Eye Institute, Miami, Florida, USA 
3 Vanderbilt Eye Institute (S.G.), Vanderbilt University Medical Center, Nashville, Tennessee, USA 
4 Singapore National Eye Center (S.P.C.), Singapore 
5 Department of Ophthalmology (J.E.T., D.A.J.), Wilmer Eye Institute, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA 
6 The Department of Epidemiology (J.E.T.), The Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA 
7 National Healthcare Group Eye institute (R.A.), Tan Tock Seng Hospital, Singapore 
8 LKC School of Medicine (R.A.), Nanyang Technological University, Singapore 
9 Duke NUS Medical School (R.A.), Singapore 
10 Ocular Infections and AntiMicrobials (R.A.), Singapore Eye Research Institute, Singapore 
11 Department of Biomedical and Clinical Science (A.I.), Luigi Sacco Hospital, Eye Clinic, University of Milan, Milan, Italy 
12 Department of Ophthalmology (A.I.), Save Sight Institute, University of Sydney, Sydney, Australia 
13 Eye Institute (A.A.), Cleveland Clinic, Abu Dhabi, UAE 
14 Cleveland Clinic Lerner College of Medicine (A.A.), Cleveland, Ohio, USA 
15 MicroInvasive Ocular Surgery Center (M.D.D.S.), Lausanne, Switzerland 
16 Stein Eye Institute (D.S.), David Geffen School of Medicine at UCLA, Los Angeles, California, USA 
17 Department of Epidemiology (D.A.J.), Center for Clinical Trials and Evidence Synthesis, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA 

⁎Inquiries to Vishali Gupta, Advanced Eye Centre, Post Graduate Institute of Medical education and Research, Chandigarh, India;Advanced Eye Centre, Post Graduate Institute of Medical education and ResearchChandigarhIndia⁎⁎Inquiries to Janet L Davis, Department of Ophthalmology, University of Miami Miller School of Medicine, Bascom Palmer Eye Institute, Miami, Florida, USA.Department of OphthalmologyUniversity of Miami Miller School of MedicineBascom Palmer Eye InstituteMiamiFloridaUSA

Résumé

Purpose

The Multimodal Imaging in Uveitis (MUV) project is a comprehensive initiative aimed at developing guidelines for the use of multimodal imaging (MMI) in diagnosing and managing noninfectious posterior uveitis (NIPU). This project seeks to develop standardized guidelines and a minimal imaging set leading to evidence and consensus-based imaging guidelines that are applicable across diverse clinical settings. This manuscript describes the overall goals and methodology of the project.

Design

Descriptive study.

Methods

The MUV project was structured into 7 phases: (1) a global survey to assess current practices and the need for standardized MMI criteria, (2) study design planning to define research questions and establish expert committees, (3) systematic review of the literature, (4) evidence and consensus-building on imaging guidelines through the Nominal Group Technique (NGT), (5) agreement with proposed guidelines by task force and development of consensus statements for use of MMI in the diagnosis and monitoring of NIPU, (6) standardizing the endpoints of inflammation on imaging in NIPU and (7) prospective validation of MMI criteria, using formal consensus techniques, to achieve supermajority agreement.

Results

The initial survey revealed that nearly 90% of uveitis and retina specialists already incorporate MMI into their diagnostic process for NIPU, with strong support for standardized practices. The NGT phase formulated and achieved statements on imaging guidelines of MMI, findings that were further substantiated by the systematic review. The final guidelines, proposed by the NGT and approved by the task force, offer a standardized framework for utilizing MMI in NIPU. This was a key aspect of this patient-focused update.

Conclusion

The MUV project introduces a formalized set of guidelines for MMI use in NIPU, enhancing and extending the Standardization of Uveitis Nomenclature (SUN) classification framework. The comprehensive guidelines developed through this initiative will standardize the use of MMI in clinical practice, which should lead to optimal use of imaging for more accurate diagnoses, better monitoring of disease activity, and improved management of complications.

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Plan


 This invited article was submitted as part of the Virtual Special Issue on Multimodal Imaging in Uveitis.


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Vol 278

P. 257-265 - octobre 2025 Retour au numéro
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  • FRANCESCO PICHI, ELISABETTA MISEROCCHI, DILRAJ S. GREWAL, SUMIT SHARMA, ANTOINE P. BRÉZIN, BAHRAM BODAGHI, ANIRUDDHA AGARWAL, DOUGLAS A. JABS, AMANI FAWZI, DAVID SARRAF, VISHALI GUPTA, ON BEHALF OF THE MULTIMODAL IMAGING IN UVEITIS (MUV) TASKFORCE, Alejandra de-la-Torre, Alejandro Fonollosa, Alessandro Invernizzi, Amani Fawzi, Andrew Dick, Aniruddha Agarwal, Anita Agarwal, Antoine Brezin, Ariel Schlaen, Bahram Bodaghi, Claudia Fabiani, David Sarraf, Debra A. Goldstein, Dilraj Grewal, Edmund Tsui, Elisabetta Miserocchi, Ester Carreño, Francesco Pichi, Ilknur Tugal-Tutkun, Inês Leal, Janet L. Davis, Jeanette Ossewaarde-van Norel, Jennifer E. Thorne, Jessica G. Shantha, Jose S. Pulido, Justine Smith, Jyotirmay Biswas, K. Bailey Freund, Kathryn Pepple, Lee M. Jampol, Luca Cimino, Marc De Smet, Maria Vittoria Cicinelli, Marion R. Munk, Massimo Accorinti, Maura Di Nicola, Meghan Berkenstock, Michael Altaweel, Phoebe Lin, Quan Dong Nguyen, Richard Spaide, Rupesh Agrawal, Sapna S. Gangaputra, Soon Phaik Chee, Srinivas Sadda, Sumit Sharma, Timothy M. Janetos, Vishali Gupta, Zohar Habot-Wilner

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