Early prediction of pathological response in locally advanced rectal cancer based on sequential F-18-FDG PET

Mathieu Hatt*, Ruud van Stiphout, Adrien le Pogam, Guido Lammering, Dimitris Visvikis, Philippe Lambin

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

48 Downloads (Pure)

Fingerprint

Dive into the research topics of 'Early prediction of pathological response in locally advanced rectal cancer based on sequential F-18-FDG PET'. Together they form a unique fingerprint.

Keyphrases

INIS

Medicine and Dentistry

Pharmacology, Toxicology and Pharmaceutical Science

Neuroscience

Immunology and Microbiology