Models using comprehensive, lesion-level, longitudinal [68Ga]Ga-DOTA-TATE PET-derived features lead to superior outcome prediction in neuroendocrine tumor patients treated with [177Lu]Lu-DOTA-TATE
Titel:
Models using comprehensive, lesion-level, longitudinal [68Ga]Ga-DOTA-TATE PET-derived features lead to superior outcome prediction in neuroendocrine tumor patients treated with [177Lu]Lu-DOTA-TATE
Auteur:
Santoro-Fernandes, Victor Schott, Brayden Deatsch, Ali Keigley, Quinton Francken, Thomas Iyer, Renuka Fountzilas, Christos Perlman, Scott Jeraj, Robert
Verschenen in:
European journal of nuclear medicine and molecular imaging