Title :
Improved prostate cancer imaging with SPECT/CT and MRI/MRSI
Author :
Seo, Youngho ; Kurhanewicz, John ; Franc, Benjamin L. ; Hawkins, Randall A. ; Hasegawa, Bruce H.
Author_Institution :
Dept. of Radiol., California Univ., San Francisco, CA, USA
Abstract :
We present a combined imaging technique for prostate cancer using 111In-ProstaScint® SPECT/CT and MRI/MRSI. When used alone, either SPECT/CT or MRI/MRSI has limitations in assessing the patient undergoing clinical prostate cancer management. However, combined imaging can use MRI/MRSI to assess the prostate gland while SPECT/CT 111In-ProstaScint® imaging can evaluate nearby and distant lymph nodes for metastases. The combined imaging study thereby provides complementary information useful for the cancer management. 111In-ProstaScint® SPECT data are reconstructed using an iterative algorithm that includes CT-derived attenuation correction and depth-dependent collimator blurring compensation. 3D MR spectra are overlaid on the T2-weighted MR image. Images from a patient who sequentially received 111In-ProstaScint® SPECT/CT and MRI/MRSI in one and half months suggest that the findings from both studies are correlative and complementary to each other in that MRI/MRSI generally provides better specificity for the cancer detection in the prostate bed, and better anatomic details of the prostate than 111In-ProstaScint® SPECT/CT. Yet, 111In-ProstaScint® SPECT/CT improves sensitivity for detection of distant lymph node metastases, and also is more sensitive when the patient is undergoing androgen deprivation therapy and thereby provides useful diagnostic information that is not readily available from the MRI/MRSI study alone.
Keywords :
biomedical MRI; cancer; image reconstruction; positron emission tomography; radiation therapy; single photon emission computed tomography; 111In-ProstaScint; CT; CT-derived attenuation correction; MRI; MRSI; SPECT; T2-weighted MR image; androgen deprivation therapy; depth-dependent collimator blurring compensation; diagnostic information; distant lymph nodes; image reconstruction; iterative algorithm; metastases; prostate bed; prostate cancer; prostate gland; Attenuation; Cancer detection; Computed tomography; Glands; Image reconstruction; Iterative algorithms; Lymph nodes; Magnetic resonance imaging; Metastasis; Prostate cancer;
Conference_Titel :
Nuclear Science Symposium Conference Record, 2004 IEEE
Print_ISBN :
0-7803-8700-7
DOI :
10.1109/NSSMIC.2004.1462741