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Imaging Modalities for Assesing Disease Activity in Mfcpu and Pic

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Photo Credit: Ferrantraite

The Following is a summary of “Evidence and Consensus-Based Imaging Guidelines in Multifocal Choroiditis with Panuveitis and Punctate Inner Chooriditis-Multimodal Imaging In Uveitis (MUV) Taskforce Report 5,” Published in the April 2025 Issue of of American Journal of Ophthalmology by Gangaputra et al.


RESEARCHERS DRIVED A RETROSPTIVE STUDY TO DEVELOP Imaging and Consensus-Based Guidelines for the Application of Multimodal Imaging in Noninfectious Multifocal Choroiditis and Panaveitis (MFCPU) and Punctate Inner Choroiditis (PIC).

THESED A TIMED, STRUTURED NOMINAL GROUP TECHNIQUE (NGT) with an Expert Committee to Reach Consensus-Based Recommendations on Disease Characteristics, Biomars of Activity, and Complications for NonFectious MFCPU and PIC. Representative Cases of Active and Inactive Noninfectious MFCPU and PIC Were Reviewed, Including Color Fundus Photography (CFP), Optical Cohernce Tomography (OCT), Fundus Fluorescein Angiography (FFA), Octgiography (Octa), Indocyanine Angiography (ICGA), and Fundus Autofluorescence images (FAF). These Recommendations Were then Voted on by the Entire Task Force.

The Results Showed That Lesions of Noninfectious MFCPU and Pic Were Well Characterized Using CFP. The Oct Was Identified as the Preferred Modality for Detecting Active LESIONS. BOTH FAF AND OCT WERE Effective in Monitoring Disease Recurence. Late-Phase ICGA Proved MOST VALUABLE IN RESPECTENT DISEASE WHEN LESIONS WERE NOT VISIBLE ON FAF AND CFP. While Octa and ICGA SUCCESSFULLY IDENTIFIED LESIONS AND COMPLICATIONS SUCH THE CHOROIDAL NEOVASCULARIZATION, IN THE IMAGING BIOMARKERS RELIBLY DISTRIBELY BETEY Active and INACTIVE LESIONS IN THESE 2 MODALITIES.

Investigators Concluded that integrating imaging findings, specially oct, into the standardization of uveitis nomenclature (Sun) classification care for mfcpu and pic allowed for a more accurate evaluation of dissense activity, and thee added-up-up guidelines offing a structure for chosing the best imaging. Techniques for diagnosis, monitoring, and detecting complications of mfcpu and pic.

Source: ajo.com/article/s0002-9394(25)00195-3/fulltext



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