title: Differentiation of nonmetastatic and metastatic rodent prostate tumors with high spectral and spatial resolution MRI.
abstract: MR images can be acquired with high spectral and spatial resolution to precisely measure lineshapes of the water and fat resonances in each image voxel. Previous work suggests that the high-resolution spectral information can be used to improve image contrast, SNR, sensitivity to contrast agents and to physiologic and biochemical processes that affect local magnetic susceptibility gradients. The potential advantages of high-resolution spectroscopic imaging (SI) suggest that it might be useful for early detection and characterization of tumors. The present experiments evaluate the use of high-resolution SI to discriminate between metastatic and nonmetastatic rodent Dunning prostate tumors. SI datasets were obtained at 4.7 Tesla with an in-plane resolution of 350-500 micron in a single 1.0-mm slice, and 6-8 Hz spectral resolution, before and after i.v. injection of an iron oxide contrast agent. Images of water signal peak height in nonmetastatic tumors were smoother in the tumor interior than images of metastatic tumors (P <.004 by t-test) before contrast media injection. This difference was stronger in contrast-enhanced images (P <.0004). In addition, the boundary between the tumor and muscle was more clearly demarcated in nonmetastatic than metastatic tumors. Combinations of image texture, tumor edge morphology, and changes in T2* following contrast media injection improved discrimination between metastatic and nonmetastatic tumors. The data presented here do not demonstrate that effective discrimination between metastatic and nonmetastatic tumors depends on the use of high-resolution SI. However, the results suggest that SI and/or other MR methods that provide similar contrast might be used clinically for early and accurate detection of metastatic disease.
authors.affiliation: Department of Radiology, University of Chicago, Chicago, Illinois 60637, USA.
authors.forename: X
authors.initials: X
authors.lastname: Fan
authors.forename: J N
authors.initials: JN
authors.lastname: River
authors.forename: M
authors.initials: M
authors.lastname: Zamora
authors.forename: K
authors.initials: K
authors.lastname: Tarlo
authors.forename: K
authors.initials: K
authors.lastname: Kellar
authors.forename: C
authors.initials: C
authors.lastname: Rinker-Schaeffer
authors.forename: G S
authors.initials: GS
authors.lastname: Karczmar
mesh_terms: D000818:Animals; D003287:Contrast Media; D003911:Dextrans; D052203:Ferrosoferric Oxide; D006801:Humans; D007089:Image Enhancement; D007091:Image Processing, Computer-Assisted; D007501:Iron; D058185:Magnetite Nanoparticles; D008297:Male; D018482:Muscle, Skeletal / Q000473:pathology; D009362:Neoplasm Metastasis; D009368:Neoplasm Transplantation; D010087:Oxides; D011471:Prostatic Neoplasms / Q000473:pathology*; D051381:Rats; D014407:Tumor Cells, Cultured
chemical_list: D003287:Contrast Media; D003911:Dextrans; D058185:Magnetite Nanoparticles; D010087:Oxides; C097921:ferumoxtran-10; D007501:Iron; D052203:Ferrosoferric Oxide