Prognostic significance of sequential F-FDG PET/CT during frontline treatment of peripheral T cell lymphomas

Autor: Ga-Young Song, Sung-Hoon Jung, Seo-Yeon Ahn, Mihee Kim, Jae-Sook Ahn, Je-Jung Lee, Hyeoung-Joon Kim, Jang Bae Moon, Su Woong Yoo, Seong Young Kwon, Jung-Joon Min, Hee-Seung Bom, Sae-Ryung Kang, Deok-Hwan Yang
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: The Korean Journal of Internal Medicine, Vol 39, Iss 2, Pp 327-337 (2024)
Druh dokumentu: article
ISSN: 1226-3303
2005-6648
DOI: 10.3904/kjim.2023.323
Popis: Background/Aims The prognostic significance of 18F-fluorodeoxyglucose (FDG)-positron emission tomography-computed tomography (PET/CT) in peripheral T-cell lymphomas (PTCLs) are controversial. We explored the prognostic impact of sequential 18F-FDG PET/CT during frontline chemotherapy of patients with PTCLs. Methods In total, 143 patients with newly diagnosed PTCLs were included. Sequential 18F-FDG PET/CTs were performed at the time of diagnosis, during chemotherapy, and at the end of chemotherapy. The baseline total metabolic tumor volume (TMTV) was calculated using the the standard uptake value with a threshold method of 2.5. Results A baseline TMTV of 457.0 cm3 was used to categorize patients into high and low TMTV groups. Patients with a high TMTV had shorter progression-free survival (PFS) and overall survival (OS) than those with a low TMTV (PFS, 9.8 vs. 26.5 mo, p = 0.043; OS, 18.9 vs. 71.2 mo, p = 0.004). The interim 18F-FDG PET/CT response score was recorded as 1, 2–3, and 4–5 according to the Deauville criteria. The PFS and OS showed significant differences according to the interim 18F-FDG PET/CT response score (PFS, 120.7 vs. 34.1 vs. 5.1 mo, p < 0.001; OS, not reached vs. 61.1 mo vs. 12.1 mo, p < 0.001). Conclusions The interim PET/CT response based on visual assessment predicts disease progression and survival outcome in PTCLs. A high baseline TMTV is associated with a poor response to anthracycline-based chemotherapy in PTCLs. However, TMTV was not an independent predictor for PFS in the multivariate analysis.
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