Improved early outcome prediction by MRI-based 3D tumor volume assessment in patients with CNS lymphomas.

Publication

Improved early outcome prediction by MRI-based 3D tumor volume assessment in patients with CNS lymphomas.

Journal Paper/Review - Feb 2, 2024

Lauer Eliza M, Riegler Ella, Mutter Jurik A, Alig Stefan K, Bleul Sabine, Kuehn Julia, Ranganathan Lavanya, Klingler Christian, Demerath Theo, Würtemberger Urs, Rau Alexander, Weiß Jakob, Eisenblaetter Michel, Bamberg Fabian, Prinz Marco, Finke Jürgen, Duyster Justus, Illerhaus Gerald, Diehn Maximilian, Alizadeh Ash A, Schorb Elisabeth, Reinacher Peter C, Scherer Florian

Citation

Lauer E, Riegler E, Mutter J, Alig S, Bleul S, Kuehn J, Ranganathan L, Klingler C, Demerath T, Würtemberger U, Rau A, Weiß J, Eisenblaetter M, Bamberg F, Prinz M, Finke J, Duyster J, Illerhaus G, Diehn M, Alizadeh A, Schorb E, Reinacher P, Scherer F. Improved early outcome prediction by MRI-based 3D tumor volume assessment in patients with CNS lymphomas. Neuro Oncol 2024; 26:374-386.

Type

Journal Paper/Review (English)

Journal

Neuro Oncol 2024; 26

Publication Date

Feb 2, 2024

Issn Electronic

1523-5866

Pages

374-386

Brief description/objective

Central nervous system lymphomas (CNSL) display remarkable clinical heterogeneity, yet accurate prediction of outcomes remains challenging. The IPCG criteria are widely used in routine practice for the assessment of treatment response. However, the value of the IPCG criteria for ultimate outcome prediction is largely unclear, mainly due to the uncertainty in delineating complete from partial responses during and after treatment.