Clinical and PET/CT metabolic imaging characteristics across the evolving spectrum of visceral leishmaniasis and associated hemophagocytic lymphohistiocytosis - Summary - MDSpire

Clinical and PET/CT metabolic imaging characteristics across the evolving spectrum of visceral leishmaniasis and associated hemophagocytic lymphohistiocytosis

  • By

  • Chao Yang

  • Yan Wang

  • Ruixian Duan

  • Feiyan Wei

  • Xiu Sun

  • July 13, 2026

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Objective:

To delineate the clinical and PET/CT metabolic imaging characteristics across the spectrum of visceral leishmaniasis (VL) and associated hemophagocytic lymphohistiocytosis (HLH), and to develop a simple risk score for identification of patients at risk of VL-HLH.

Approach:
  • Study Design: This retrospective study enrolled 21 VL patients categorized into three groups: visceral leishmaniasis only (VL-only, n=7), VL-HLH (n=8), and a clinically indeterminate Grey Zone group (n=6).
  • Clinical Comparison: Clinical and laboratory parameters were compared across groups.
  • Metabolic Analysis: For 9 patients with PET/CT, metabolic patterns and correlations between splenic SUVmax and serological markers were analyzed.
  • Risk Score Development: A simple risk score was constructed based on significant indicators and evaluated across groups.
Key Findings:
  • No differences were observed in age, sex, and main symptoms among the three groups.
  • Compared to the VL-only group, the VL-HLH group exhibited significantly higher levels of the inflammatory marker C-reactive protein and greater spleen thickness (P<0.05).
  • PET/CT identified the spleen and bone marrow as primary metabolic target organs.
  • Splenic SUVmax showed strong positive correlations with D-dimer (r=0.82, p<0.01) and ferritin (r=0.69, p<0.05).
Interpretation:

The study reveals a systemic 'inflammation-coagulation-tissue injury' network in VL, with the spleen as a core metabolic target.

Limitations:
  • Small sample size of 21 patients.
  • Retrospective design may limit the generalizability of findings.
Conclusion:

The proposed simple stratification tool based on C-reactive protein and spleen thickness serves as a practical instrument for clinical risk warning.

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