Publication year
2003Source
The New England Journal of Medicine, 348, 25, (2003), pp. 2491-9ISSN
Publication type
Article / Letter to editor

Display more detailsDisplay less details
Organization
Radiology
Pathology
Urology
Journal title
The New England Journal of Medicine
Volume
vol. 348
Issue
iss. 25
Page start
p. 2491
Page end
p. 9
Subject
UMCN 1.1: Functional Imaging; UMCN 1.3: Tumor microenvironmentAbstract
BACKGROUND: Accurate detection of lymph-node metastases in prostate cancer is an essential component of the approach to treatment. We investigated whether highly lymphotropic superparamagnetic nanoparticles, which gain access to lymph nodes by means of interstitial-lymphatic fluid transport, could be used in conjunction with high-resolution magnetic resonance imaging (MRI) to reveal small nodal metastases. METHODS: Eighty patients with presurgical clinical stage T1, T2, or T3 prostate cancer who underwent surgical lymph-node resection or biopsy were enrolled. All patients were examined by MRI before and 24 hours after the intravenous administration of lymphotropic superparamagnetic nanoparticles (2.6 mg of iron per kilogram of body weight). The imaging results were correlated with histopathological findings. RESULTS: Of the 334 lymph nodes that underwent resection or biopsy, 63 (18.9 percent) from 33 patients (41 percent) had histopathologically detected metastases. Of these 63 nodes, 45 (71.4 percent) did not fulfill the usual imaging criteria for malignancy. MRI with lymphotropic superparamagnetic nanoparticles correctly identified all patients with nodal metastases, and a node-by-node analysis had a significantly higher sensitivity than conventional MRI (90.5 percent vs. 35.4 percent, P<0.001) or nomograms. CONCLUSIONS: High-resolution MRI with magnetic nanoparticles allows the detection of small and otherwise undetectable lymph-node metastases in patients with prostate cancer.
This item appears in the following Collection(s)
- Academic publications [226841]
- Faculty of Medical Sciences [86405]
Upload full text
Use your RU credentials (u/z-number and password) to log in with SURFconext to upload a file for processing by the repository team.