Work

PET-based compartmental modeling of 124I-A33 antibody: quantitative characterization of patient-specific tumor targeting in colorectal cancer

Year: 2015

Type: article

Source: European Journal of Nuclear Medicine and Molecular Imaging

DOI: 10.1007/s00259-015-3061-2

Authors: Pat Zanzonico, Jorge A. Carrasquillo, Neeta Pandit-Taskar, Joseph A. O’Donoghue, John L. Humm, Peter Smith-Jones, Shutian Ruan, Chaitanya Divgi, Andrew M. Scott, Nancy E. Kemeny, Yuman Fong, Douglas Wong, David Scheinberg, Gerd Ritter, Achem Jungbluth, Lloyd J. Old, Steven M. Larson

Institutions: Memorial Sloan Kettering Cancer Center, Stony Brook School, Stony Brook Medicine, Stony Brook University, Columbia University Irving Medical Center, La Trobe University, Olivia Newton-John Cancer Research Institute, City Of Hope National Medical Center, City of Hope, Ludwig Cancer Research

Language: English

Topic: Radiopharmaceutical Chemistry and Applications

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: Ludwig Institute for Cancer Research, National Institutes of Health, Ludwig Center at Harvard, National Cancer Institute

Awards: Targeted antigen receptor treatment of cancer, G4227548466, MSKCC Center for Molecular Imaging in Cancer

OpenAlex ID: W1852277107

FWCI: 1.474

Cites: 27

Cited by: 16

Related to: 10