ArticleFrontiers in oncology2023
A preliminary investigation of the relationship between
Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- PET/CT false-negative angioimmunoblastic T-cell lymphoma: a case report and literature review.Frontiers in oncology · 2026Article
- Differentiating lymphoma progression from benign lesions: features of incident [Frontiers in medicine · 2026Article
- PET/CT-Based prognostic model enhances early survival prediction in angioimmunoblastic t-cell lymphoma.Frontiers in immunology · 2025Article
- Real-world study and prognostic analysis of angioimmunoblastic T-cell lymphoma.Frontiers in immunology · 2024Article
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Authors and funding
5 authors.
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Abstract
Purpose: The goal of the study was to determine the prognostic significance of metabolic parameters in baseline Methods: Forty patients with pathologically diagnosed AITL who had baseline Results: The median follow-up was 30.2 months (interquartile range 9.82-43.03). Throughout the follow-up period, 29 (72.5%) deaths occurred and 22 (55.0%) patients made progress. The rates for 2- and 3-year PFS were 43.6% and 26.4%, respectively. The 3- and 5-year OS were 42.6% and 21.5%. For TMTV, TLG, and SUVmax, the cut-off values were 87.0 cm3, 711.1, and 15.8, respectively. Poorer PFS and OS were substantially correlated with high SUVmax and TLG. An increased TMTV suggested a shorter OS. TLG performed independently as OS predictors in multivariate analysis. The risk score for predicting the prognosis of AITL includes the TMTV, TLG, SUVmax, and IPI scores, with 4.5 for TMTV, 2 for TLG, 1.5 for IPI scores, and 1 for SUVmax. Three risk categories of patients with AITL had 3-year OS rates of 100.0%, 43.3%, and 25.0%, respectively. Conclusion: Baseline TLG was a strong predictor of OS. Here a new prognostic scoring system for AITL based on the clinical indicators and PET/CT metabolic parameters was constructed, which might make stratification of prognosis easy and also help to individualize treatment.
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