Prognostic impact of metabolic tumor volume using the SUV4.0 segmentation threshold in 1,960 lymphoma patients from prospective LYSA trials.

Malmon S, Elsensohn MH, Thieblemont C, Morschhauser F, Casasnovas O, André M, Gouill SL, Tabaa YA, Durand PB, Bailly C, Edeline V, Vija L, Vercellino L, Ricci R, Kanoun S, Cottereau AS

Open source

DOI
10.1007/s00259-025-07176-4
Published
2025 Jul
Container
European journal of nuclear medicine and molecular imaging
Publisher
Not recorded
Open access
unknown

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BibTeX

@article{allodium:10.1007/s00259-025-07176-4,
  title = {Prognostic impact of metabolic tumor volume using the SUV4.0 segmentation threshold in 1,960 lymphoma patients from prospective LYSA trials.},
  author = {Malmon S and Elsensohn MH and Thieblemont C and Morschhauser F and Casasnovas O and André M and Gouill SL and Tabaa YA and Durand PB and Bailly C and Edeline V and Vija L and Vercellino L and Ricci R and Kanoun S and Cottereau AS},
  year = {2025},
  journal = {European journal of nuclear medicine and molecular imaging},
  doi = {10.1007/s00259-025-07176-4},
  url = {https://doi.org/10.1007/s00259-025-07176-4}
}

RIS

TY  - JOUR
TI  - Prognostic impact of metabolic tumor volume using the SUV4.0 segmentation threshold in 1,960 lymphoma patients from prospective LYSA trials.
AU  - Malmon S
AU  - Elsensohn MH
AU  - Thieblemont C
AU  - Morschhauser F
AU  - Casasnovas O
AU  - André M
AU  - Gouill SL
AU  - Tabaa YA
AU  - Durand PB
AU  - Bailly C
AU  - Edeline V
AU  - Vija L
AU  - Vercellino L
AU  - Ricci R
AU  - Kanoun S
AU  - Cottereau AS
PY  - 2025
JO  - European journal of nuclear medicine and molecular imaging
DO  - 10.1007/s00259-025-07176-4
UR  - https://doi.org/10.1007/s00259-025-07176-4
ER  - 

APA

S, M., MH, E., C, T., F, M., O, C., M, A., SL, G., YA, T., PB, D., C, B., V, E., L, V., L, V., R, R., S, K., & AS, C. (2025). Prognostic impact of metabolic tumor volume using the SUV4.0 segmentation threshold in 1,960 lymphoma patients from prospective LYSA trials.. European journal of nuclear medicine and molecular imaging. https://doi.org/10.1007/s00259-025-07176-4

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