From the Journals

AI May Predict PGL Gene Cluster

"These insights advocate for bridging conventional histopathology with computational analysis."

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A recent study highlights the potential of AI-based analysis of reticulin architecture to predict molecular cluster status in paragangliomas (PGLs). This research evaluated histoarchitectural features from routine reticulin staining and their correlation with germline genotypes. The study, led by Eleonora Duregon, MD, PhD, analyzed 104 surgically resected PGLs, identifying distinct architectural patterns associated with varying tumor clusters. The findings emphasize the practical utility of reticulin staining for prioritizing cases for genetic counseling and the role of AI in standardizing diagnostic practices in constraints settings.

Original Source(s)

AI May Predict PGL Gene Cluster

"These insights advocate for bridging conventional histopathology with computational analysis."

  • by Jess Allerton

  • March 2, 2026

  • 3 min

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