Prostate carcinoma: diffusion-weighted imaging as potential alternative to conventional MR and 11C-choline PET/CT for detection of bone metastases

Luboldt, Wolfgang; Küfer, Rainer; Blumstein, Norbert; Toussaint, Todd L; Kluge, Alexander; Seemann, Marcus D; Luboldt, Hans-Joachim (2008). Prostate carcinoma: diffusion-weighted imaging as potential alternative to conventional MR and 11C-choline PET/CT for detection of bone metastases. Radiology, 249(3), pp. 1017-25. Oak Brook, Ill.: Radiological Society of North America RSNA 10.1148/radiol.2492080038

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In a technical development study approved by the institutional ethics committee, the feasibility of fast diffusion-weighted imaging as a replacement for conventional magnetic resonance (MR) imaging sequences (short inversion time inversion recovery [STIR] and T1-weighted spin echo [SE]) and positron emission tomography (PET)/computed tomography (CT) in the detection of skeletal metastases from prostate cancer was evaluated. MR imaging and carbon 11 ((11)C) choline PET/CT data from 11 consecutive prostate cancer patients with bone metastases were analyzed. Diffusion-weighted imaging appears to be equal, if not superior, to STIR and T1-weighted SE sequences and equally as effective as (11)C-choline PET/CT in detection of bone metastases in these patients. Diffusion-weighted imaging should be considered for further evaluation and comparisons with PET/CT for comprehensive whole-body staging and restaging in prostate and other cancers.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Haematology, Oncology, Infectious Diseases, Laboratory Medicine and Hospital Pharmacy (DOLS) > Clinic of Radiation Oncology

UniBE Contributor:

Blumstein, Norbert Manfred

ISSN:

0033-8419

ISBN:

18849502

Publisher:

Radiological Society of North America RSNA

Language:

English

Submitter:

Factscience Import

Date Deposited:

04 Oct 2013 15:05

Last Modified:

05 Dec 2022 14:20

Publisher DOI:

10.1148/radiol.2492080038

PubMed ID:

18849502

Web of Science ID:

000261139300035

URI:

https://boris.unibe.ch/id/eprint/28296 (FactScience: 119659)

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