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

Publikation

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

Wissenschaftlicher Artikel/Review - 02.02.2024

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

Zitation

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.

Art

Wissenschaftlicher Artikel/Review (Englisch)

Zeitschrift

Neuro Oncol 2024; 26

Veröffentlichungsdatum

02.02.2024

eISSN (Online)

1523-5866

Seiten

374-386

Kurzbeschreibung/Zielsetzung

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.