Baseline Tumor Burden Assessed With AI‐Guided PET/CT Total Metabolic Tumor Volume (TMTV) and LDH Levels Predict Efficacy of CAR‐T in Aggressive B‐Cell Lymphoma

Disease burden is a critical determinant of outcomes in CAR-T therapy for B-cell lymphomas, and one of the most widely used techniques for its assessment is Total Metabolic Tumor Volume (TMTV) measured via [<sup>18</sup>F]FDG PET/CT. Biological parameters may further refine the risk profile. We analyzed baseline [<sup>18</sup>F]FDG PET/CT scans from 40 patients treated with CAR-T, using an AI-based automated segmentation algorithm to determine TMTV. Our analysis identified that a baseline TMTV greater than 48.4 cm³ and elevated LDH independently predicted progression-free survival (PFS) after CAR-T therapy (HR 4.28, p = 0.007, and HR 8.20, p < 0.001, respectively). We then proposed a 0-to-2 risk score, assigning one point each for elevated TMTV and elevated LDH. All patients with a score of two experienced a PFS of less than 90 days following CAR-T infusion. Among the remaining patients, those with 0 points versus 1 point demonstrated a 3-month PFS of 100% versus 85%, a 6-month PFS of 92% versus 53%, and a 12-month PFS of 83% versus 53%, respectively. Importantly, patients with high baseline TMTV who achieved a TMTV reduction to less than 1.99 cm³ by day 30 had a PFS of 66%, significantly better compared to those who did not achieve this reduction. AI-guided TMTV assessment, combined with LDH levels, provides a rapid and sensitive method for risk stratification at the bedside, which could help optimize patient management prior to CAR-T therapy.

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Publication Details

Journal
Hematological Oncology
Published
2024-12-23
DOI
https://doi.org/10.1002/hon.70029
Citations
5
Primary Topic
CAR-T cell therapy research
Type
article
Field-Weighted Citation Impact
1.41

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article

Baseline Tumor Burden Assessed With AI‐Guided PET/CT Total Metabolic Tumor Volume (TMTV) and LDH Levels Predict Efficacy of CAR‐T in Aggressive B‐Cell Lymphoma

Salvatore Annunziata, Stefan Hohaus, Elena Maiolo, Andrea Guarneri et al.
5 citations
Hematological Oncology
CAR-T cell therapy research
1.41
article

Baseline Tumor Burden Assessed With AI‐Guided PET/CT Total Metabolic Tumor Volume (TMTV) and LDH Levels Predict Efficacy of CAR‐T in Aggressive B‐Cell Lymphoma

Salvatore Annunziata, Stefan Hohaus, Elena Maiolo, Andrea Guarneri, Ilaria Pansini, Federica Sorà, Eugenio Galli, Simona Sica, Lucia Leccisotti, Eleonora Alma, Marcello Viscovo
article en
5 citations

Abstract

Disease burden is a critical determinant of outcomes in CAR-T therapy for B-cell lymphomas, and one of the most widely used techniques for its assessment is Total Metabolic Tumor Volume (TMTV) measured via [<sup>18</sup>F]FDG PET/CT. Biological parameters may further refine the risk profile. We analyzed baseline [<sup>18</sup>F]FDG PET/CT scans from 40 patients treated with CAR-T, using an AI-based automated segmentation algorithm to determine TMTV. Our analysis identified that a baseline TMTV greater than 48.4 cm³ and elevated LDH independently predicted progression-free survival (PFS) after CAR-T therapy (HR 4.28, p = 0.007, and HR 8.20, p < 0.001, respectively). We then proposed a 0-to-2 risk score, assigning one point each for elevated TMTV and elevated LDH. All patients with a score of two experienced a PFS of less than 90 days following CAR-T infusion. Among the remaining patients, those with 0 points versus 1 point demonstrated a 3-month PFS of 100% versus 85%, a 6-month PFS of 92% versus 53%, and a 12-month PFS of 83% versus 53%, respectively. Importantly, patients with high baseline TMTV who achieved a TMTV reduction to less than 1.99 cm³ by day 30 had a PFS of 66%, significantly better compared to those who did not achieve this reduction. AI-guided TMTV assessment, combined with LDH levels, provides a rapid and sensitive method for risk stratification at the bedside, which could help optimize patient management prior to CAR-T therapy.

Hematological OncologyVol. 43(1)
Università Cattolica del Sacro Cuore (IT), Agostino Gemelli University Polyclinic (IT), Istituti di Ricovero e Cura a Carattere Scientifico (IT)
Ministero della Salute, Università Cattolica del Sacro Cuore
Good health and well-being
Openalex Percentile: Top 15%
CAR-T cell therapy research
1.41
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