Short-interval scanning of patients offers a detailed understanding of the
natural progression of tumor tissue, as revealed through imaging markers su
ch as contrast enhancement and edema, prior to therapy. Following treatment
, short-interval scanning can also provide evidence of attenuation of growt
h rates. We present a longitudinal imaging study of a patient with glioblas
toma multiforme (GBM) scanned 15 times in 104 days on a 3 T MR scanner. Ima
ges were analyzed independently by two automated algorithms capable of crea
ting detailed maps of tumor changes as well as volumetric analysis. The alg
orithms, a nearest-neighbor-based tissue segmentation and a surface-modelin
g algorithm, tracked the patient's response to temozolomide, showing an att
enuation of growth. The need for surrogate imaging end-points, of which gro
wth rates are an example, is discussed. Further, the strengths of these alg
orithms, the insight gained by short-interval scanning, and the need for a
better understanding of imaging markers are also described.