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Profil bibliographique

Abarnaa Sivapathasundaram

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

3Publications signalées
6Citations signalées
6Affiliations récentes

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Les domaines associés

Glioma Diagnosis and TreatmentHepatocellular Carcinoma Treatment and PrognosisMedical Imaging Techniques and ApplicationsProstate Cancer Treatment and ResearchOptical Imaging and Spectroscopy Techniques

Les publications récentes

Accès ouvert 2025 article OpenAlex

Regional impact of time-to-equilibrium on indirect Patlak whole-body parametric imaging: a multi-tissue class analysis at the entire body level

Abarnaa Sivapathasundaram, Agnieszka Buffon, Jérôme Ghidaglia, Yannick Jentreau et autres

Patlak parametric imaging is widely employed for kinetic modeling due to its simplicity and robustness. The time-to-equilibrium (t*), which must be defined to estimate kinetic parameters, is currently set empirically and uniformly across the entire body. In this study, we evaluate the …

fr (code pays fourni par la source)

1 citation EJNMMI Physics
Accès ouvert 2025 article OpenAlex

18F-FDG versus 18F-FDOPA PET in recurrent medulloblastoma: a case study and literature review

Abarnaa Sivapathasundaram, Florence Laigle–Donadey, Catherine Horodyckid, Karima Mokhtari et autres

Medulloblastoma is a heterogeneous central nervous system tumor stratified into four molecular subgroups in the revised 2021 WHO classification. Although MRI remains essential for follow-up, distinguishing true recurrence from treatment-related changes can be challenging. PET imaging may provide additional value in this …

fr (code pays fourni par la source)

0 citations EJNMMI Reports
2023 article OpenAlex

Is 18F-FDG/18F-Choline Dual-Tracer PET Behavior a Surrogate of Tumor Differentiation in Hepatocellular Carcinoma

Abarnaa Sivapathasundaram, Nicolas Golse, Alina Pascale, Emmanuel Durand et autres

BACKGROUND: In hepatocellular carcinoma (HCC) setting, 18 F-FDG and 18 F-choline PET/CT radiotracers are classically considered surrogates of the degree of differentiation, a strong predictor of disease recurrence after curative treatment. Because the corresponding level of evidence has never been assessed as …

fr (code pays fourni par la source)

5 citations Clinical Nuclear Medicine

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