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December 8, 2025BloodOpen Access

Radiomic features from PET-CT enable diagnostic and prognostic stratification in peripheral T-cell lymphoma

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Authors

HSHajime SakumaDIDaisuke IkedaDTDaichi Terunuma

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Overview

Retrospective study shows radiomic features improve risk stratification in peripheral T-cell lymphoma, indicating enhanced prognostic prediction over conventional metrics.

Key Points

  • The radiomics model achieved an AUC of 0.902, significantly enhancing diagnostic differentiation for peripheral T-cell lymphoma.
  • Prognostic models demonstrated improved predictive accuracy for progression-free survival with a C-index of 0.68 for radiomics.
  • Histopathological and molecular analysis are currently limited in clinical practice for accurate stratification of peripheral T-cell lymphoma.
  • The findings support the integration of radiomic features to surpass traditional metrics like the International Prognostic Index.

Cite This Study

Sakuma et al. (2025) studied this question.

synapsesocial.com/papers/69362f5a4fa91c937236db06https://doi.org/10.1182/blood-2025-5333
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Performance of radiomics features in patients with peripheral T-cell lymphoma: Data from international prospective T-cell project 2.02025
  2. 2PET imaging biomarkers predict survival in peripheral T-cell lymphoma: A systematic review and meta-analysis.2025
  3. 3Predicting survival outcomes in CAR-t treated B-cell lymphoma by combining PET/CT imagingand clinical features2025
  4. 4Analysis of the role of baseline PET/CT in a prospective study of unselected patients: The UK MCL biobank2025
  5. 5Development of a machine learning model to predict overall survival in patients with peripheral T-cell lymphoma in a minority enriched population2025