Imaging and PSVD: improving diagnosis and prognosis – Paris PSVD Meeting

Imaging and PSVD: improving diagnosis and prognosis – Paris PSVD Meeting

🎙 Prof. Maxime Ronot and Prof. Valérie Paradis 👥 2K 📅 January 23, 2026 ⏱ 28 min 👁 146 📄 expert opinion 🧭 2026-08-16
Available in: English (current) Français

Keywords

PSVDimagingliver morphologyportal vein thrombosissarcopenia

Summary

This presentation from the Paris PSVD Meeting 2025 focuses on the role of imaging in the diagnosis and prognosis of Porto-Sinusoidal Vascular Disease (PSVD). Prof. Maxime Ronot begins by explaining the pathophysiological basis of imaging findings, such as the compensatory arterial hyperenhancement in areas of reduced portal flow. He describes characteristic morphological changes in PSVD, including a smooth liver capsule, enlarged segment 4, and a distinctive ‘almond’ shape due to peripheral atrophy and central hypertrophy. He also highlights portal vein anomalies, periportal signal changes on MRI, and the presence of large portosystemic shunts and splenomegaly, which are disproportionate to liver function. The talk includes preliminary data from a longitudinal study of over 130 PSVD patients, showing that portal vein thrombosis and large shunts tend to progress over time, while other features remain stable. Sarcopenia, assessed by imaging, is associated with worse outcomes in decompensated patients. The speaker emphasizes the importance of combining imaging with biopsy and other tools for accurate diagnosis and prognostication, and discusses the potential of AI-based segmentation. The presentation concludes with a Q&A session addressing topics such as intrahepatic shunts, biopsy location, and the possibility of replacing biopsy with imaging and liver stiffness measurements.

197 words

Critical Evaluation

Value of the Information & Strength of the Argument

The presentation provides valuable insights into the imaging features of PSVD, a rare and underdiagnosed condition. The speaker supports his arguments with clinical examples, illustrative cases, and preliminary research data. He acknowledges the limitations of current evidence and the need for further validation. The argumentation is coherent and logically structured, building from pathophysiology to imaging findings and their clinical implications.

Scientific Rigor, Source Quality, Title Accuracy

The speaker references several studies, including one on differentiating PSVD from cirrhosis using liver morphology, and another on sarcopenia in PSVD. These are mentioned as submitted or preliminary, indicating a rigorous approach. The title accurately reflects the content, which is focused on imaging in PSVD. The presentation is based on expert opinion and clinical experience, with appropriate caveats about the need for more research.

139 words

Title / Content Match

The title accurately reflects the content, which focuses on the role of imaging in PSVD diagnosis and prognosis.

Quality & Reliability

8/10

Presentation by recognized experts in the field, based on clinical experience and preliminary research data. Some findings are not yet published, and the speaker acknowledges limitations. The content is consistent with current knowledge on PSVD.

Key Moments

Cited Sources

  • FILFOIE website — Mentioned in the video description as the network organizing the meeting.

Concurring Sources

  • European Association for the Study of the Liver (EASL) Clinical Practice Guidelines on vascular liver diseases — Provides guidelines on diagnosis and management of vascular liver diseases, including PSVD.

Contribution & Novelties

This presentation offers a comprehensive overview of imaging findings in PSVD, synthesizing known features and presenting new preliminary data on longitudinal changes and the potential of AI-based analysis. It emphasizes the distinct imaging phenotype of PSVD compared to cirrhosis, which is crucial for accurate diagnosis.

Pour aller plus loin :

  • Porto-sinusoidal vascular disease: a review — A comprehensive review of PSVD, including imaging features.
  • Liver Imaging Reporting and Data System (LI-RADS) — Standardized imaging criteria for liver lesions, relevant for differentiating vascular diseases.
  • TotalSegmentator — Open-source tool for automated segmentation of anatomical structures, used in the AI research mentioned.

99 words

Radar Profile

The radar chart shows high scores in information quantity, quality, and technical level, reflecting the expert-level content and depth. The lower score in global reliability is due to the preliminary nature of some findings and the lack of published validation.

Reliability 7/10

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