Prognostic impact of metabolic tumor volume using the SUV4.0 ...
6 天之前 · This study aimed to evaluate the prognostic impact of TMTV generated with the SUV4.0 segmentation threshold in a large cohort of lymphoma patients, including the three most frequent lymphoma subtypes, HL, DLBCL and FL. We also assessed the impact of the TMTV methods on intensity and dissemination PET features.
Metabolic tumor volume predicts outcome in patients with
The total metabolic tumor volume (TMTV) was computed using the 41% SUV max method. Results: With a median follow-up of 6.5 years, the 6-year progression-free survival (PFS) was …
Prognostic Value of Baseline and Interim Total Metabolic Tumor …
Baseline TMTV and TLG are strong predictors of PFS and OS in FL. Furthermore, interim TMTV (ΔTMTV > 66.3%) and TLG (ΔTLG > 64.5%) reduction are valuable tools for early treatment response assessment in FL patients.
Simultaneous Assessment of Total Metabolic Tumor Volume and ...
2024年11月5日 · Total metabolic tumor volume (TMTV) derived from positron emission tomography/computed tomography (PET/CT) data has been shown to serve as an accurate tumor burden surrogate and be associated with outcomes in FL (Cottereau et al. Ann Oncol 2024).
Predicting time to treatment in follicular lymphoma on watchful …
The total metabolic tumour volume (TMTV), a quantitative parameter representing the total volume of all FDG-avid lesions, has been reported as a functional parameter able to predict the patient outcome at diagnosis in high tumour burden FL (Meignan et al. 2016).
Baseline PET Metabolic Tumor Volume Predicts Outcome in …
2022年11月15日 · Overall, patients with TMTV > 510 cm 3 had higher Ann Arbor stage (p<0.001), more extra nodal sites (p<0.001), more frequently elevated beta 2 microglobulin (p<0.001), higher FLIPI (p=0.002) and FLIPI2 scores (p<0.001). High TMTV was significantly associated with an inferior PFS (p=0.0121) and POD 24 (p=0.0014) but not OS (p=0.247).
Baseline Total Metabolic Tumor Volume Measured with Fixed or …
2017年2月1日 · On a dedicated workstation, we measured the TMTV with 4 adaptive thresholding methods based on characteristic image parameters: Daisne (Da) modified, based on signal-to-background ratio; Nestle (Ns), based on tumor and background intensities; Fit, including a 3-dimensional geometric model based on spatial resolution (Fit); and Black (Bl), based ...
A deep learning model for automated total metabolic tumor …
2024年6月1日 · We developed an end-to-end deep learning (DL) model for automatic lesion segmentation and TMTV quantification from FDG-positron emission tomography/computed tomography (FDG-PET/CT) scans.
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