Journal article
Diagnostic accuracy of whole-body diffusion-weighted magnetic resonance imaging with 3.0T in detection of primary and metastatic neoplasms
Journal of medical imaging and radiation oncology, Vol.57(3), pp.274-282
06/01/2013
DOI: 10.1111/1754-9485.12026
PMID: 23721135
Abstract
Introduction To discuss the accuracy of the whole-body diffusion-weighted imaging with background body signal suppression (WB-DWIBS) technique performed in the 3.0-T system. Methods We studied 17 patients who underwent positron emission tomography (PET)/CT and WB-DWIBS examinations for staging their diseases. The DWIBS pulse and echo-planar imaging-short T1 inversion recovery single-shot pulse sequences were performed for WB-DWIBS. A PET/CT scan was performed with 18-fluorodeoxyglucose. The lesions were localised and counted in both of the examinations, and WB-DWIBS was evaluated for the neoplastic tissue detection rate, while PET/CT was accepted as the reference standard modality. Results The WB-DWIBS scan had a room occupation time of 32-35min. All of the metastasis positive patients (n=12) detected with PET/CT were also detected with WB-DWIBS (100%). In our patient group, there were a total of 109 bone metastases on PET/CT scans, and 93 of them (85.3%) were demonstrated with WB-DWIBS. We detected 128 metastatic lymph nodes on PET/CT, and 123 of them (96.3%) were demonstrated with WB-DWIBS. There were a total of 17 liver metastases on PET/CT, and 15 of them (88.2%) were detected with WB-DWIBS. There was no statistically significant difference between the two imaging modalities in detecting bone, lymph node and liver metastases (0.05). Conclusions WB-DWIBS is a non-invasive technique that may successfully detect the spreading of the tumoural tissue in cancer patients when compared with PET/CT.
Details
- Title: Subtitle
- Diagnostic accuracy of whole-body diffusion-weighted magnetic resonance imaging with 3.0T in detection of primary and metastatic neoplasms
- Creators
- Sinan Akay - Turkish Armed ForcesMurat Kocaoglu - Turkish Armed ForcesOzdes Emer - Turkish Armed ForcesBilal Battal - Turkish Armed ForcesNuri Arslan - Turkish Armed Forces
- Resource Type
- Journal article
- Publication Details
- Journal of medical imaging and radiation oncology, Vol.57(3), pp.274-282
- Publisher
- Wiley
- DOI
- 10.1111/1754-9485.12026
- PMID
- 23721135
- ISSN
- 1754-9477
- eISSN
- 1754-9485
- Number of pages
- 9
- Language
- English
- Date published
- 06/01/2013
- Academic Unit
- Radiology
- Record Identifier
- 9984702823402771
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