Deep-learning 18F-FDG uptake classification enables total metabolic tumor volume estimation in diffuse large B-cell lymphoma

N Capobianco, M Meignan, AS Cottereau… - Journal of Nuclear …, 2021 - Soc Nuclear Med
Total metabolic tumor volume (TMTV), calculated from 18 F-FDG PET/CT baseline studies, is
a prognostic factor in diffuse large B-cell lymphoma (DLBCL) whose measurement requires …

[HTML][HTML] Risk stratification in diffuse large B-cell lymphoma using lesion dissemination and metabolic tumor burden calculated from baseline PET/CT

AS Cottereau, M Meignan, C Nioche, N Capobianco… - Annals of …, 2021 - Elsevier
Background We analyzed the prognostic value of a new baseline positron emission tomography
(PET) parameter reflecting the spread of the disease, the largest distance between two …

[HTML][HTML] Whole-body uptake classification and prostate cancer staging in 68Ga-PSMA-11 PET/CT using dual-tracer learning

N Capobianco, L Sibille, M Chantadisai… - European journal of …, 2022 - Springer
Purpose In PSMA-ligand PET/CT imaging, standardized evaluation frameworks and image-derived
parameters are increasingly used to support prostate cancer staging. Clinical …

Transfer learning of AI-based uptake classification from 18F-FDG PET/CT to 68Ga-PSMA-11 PET/CT for whole-body tumor burden assessment

N Capobianco, A Gafita, G Platsch, L Sibille… - 2020 - Soc Nuclear Med
1411 Objectives: PET-derived tumor burden biomarkers have shown promising results for risk
stratification and response assessment 1 2 3 . Their measurement requires detection of all …

Multitask learning-to-rank neural network for predicting survival of diffuse large B-cell lymphoma patients from their unsegmented baseline [18F] FDG-PET/CT scans.

L Rebaud, N Capobianco, L Sibille, K Girum… - 2022 - Soc Nuclear Med
3250 Introduction: A common way to train a neural network on censored follow-up data is to
combine a neural network with a Cox proportional hazards model (eg DeepSurv). In this …

Radiotracer uptake classification using deep learning for evaluation of image-derived cancer biomarkers in PET/CT

N Capobianco - 2022 - mediatum.ub.tum.de
Accurate assessment of disease spread is crucial in the care of cancer patients, and medical
imaging is frequently used as noninvasive diagnostic tool. This dissertation presents …

Refining the stratification of diffuse large B-cell lymphoma patients based on metabolic tumor volume (MTV) by automatically adapting the MTV cut-off value to the …

F Orlhac, N Capobianco, AS Cottereau, L Vercellino… - 2020 - Soc Nuclear Med
274 Objectives: In diffuse large B-cell lymphoma (DLBCL), Metabolic Tumor Volume (MTV)
calculated using 18F-FDG PET images has been shown to be a valuable prognostic factor. …

Evaluation of the prognostic value of tumor fragmentation on [18F]-FDG PET/CT on an independent cohort of diffuse large B-cell lymphoma patients

L Rebaud, N Capobianco, L Sibille, K Girum… - 2022 - Soc Nuclear Med
3172 Introduction: Tumor fragmentation (TF) estimated by the ratio between tumor volume
and tumor surface was previously shown to be an independent prognostic factor in diffuse …

Fully automated deep learning FDG uptake classification enables Total Metabolic Tumor Volume (MTV) estimation in diffuse large B-cell lymphoma with similar …

N Capobianco, M Meignan, AS Cottereau, L Vercellino… - 2020 - Soc Nuclear Med
504 Objectives: Total Metabolic Tumor Volume (MTV) calculated from 18 F-FDG PET/CT
baseline studies is a prognostic factor in diffuse large B-cell lymphoma (DLBCL). Yet, MTV …

miTNM nodal and metastatic prostate cancer staging using deep learning in 68Ga-PSMA-11 and 18F-DCFPyL PET/CT

N Capobianco, V Shah, B Spottiswoode, J Thiessen… - 2023 - Soc Nuclear Med
P447 Introduction: PSMA-ligand PET/CT has shown high accuracy for prostate cancer
staging. The potential presence of tracer uptake pitfalls and stage-determinant sub-centimeter …