The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Hepatic Lesion Detection and Characterization: Value of Nonenhanced MR Imaging, Superparamagnetic Iron Oxide-enhanced MR Imaging, and Spiral CT—ROC Analysis
Abstract
PURPOSE: To determine the accuracy for detection and characterization of focal hepatic lesions of nonenhanced, superparamagnetic iron oxide (SPIO)-enhanced, or a combination of nonenhanced and SPIO-enhanced MR imaging and contrast-enhanced spiral computed tomography (CT). MATERIALS AND METHODS: Spiral CT and T2-weighted SPIO-enhanced (ferucarbotran-enhanced) MR imaging were performed in 35 patients within 2 weeks before surgery for malignant hepatic lesions. Only malignant lesions with histopathologic proof were considered. A total of 875 images with and 800 images without focal lesions were presented to five readers, who were asked to assess the presence and characterization of lesions by using a five-point confidence scale. Receiver operating characteristic analysis was performed. RESULTS: Nonenhanced and SPIO-enhanced images together and SPIO-enhanced images alone yielded the best performance for lesion detection. No differences were found among all imaging techniques with regard to lesion characterization (benign vs malignant). The combined approach resulted in larger area under the ROC curve (A(z) = 0.9062) and accuracy (85.3%) (P < 0.02), as compared with SPIO-enhanced MR imaging (A(z) = 0.8667; accuracy, 73.1%). CONCLUSION: SPIO-enhanced T2-weighted MR imaging was more accurate than nonenhanced T1-weighted and T2-weighted MR imaging and contrast-enhanced spiral CT for the detection of focal hepatic lesions. The combined analysis of nonenhanced and SPIO-enhanced images was more accurate in the characterization of focal hepatic lesions than was review of SPIO-enhanced images alone.
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Citations
Cites
Iron oxide-enhanced MR imaging of the liver and spleen: review of the first 5 years
Ferrucci, J. T., & Stark, D. D. (1990) · American Journal of Roentgenology · doi:10.2214/ajr.155.5.2120963 · Cited by 279
Hamm, B., Staks, T., Taupitz, M., Maibauer, R., Speidel, A., Huppertz, A., Frenzel, T., Lawaczeck, R., Wolf, K. J., & Lange, L. (1994) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.1880040508 · Cited by 187
Cited by
Superparamagnetic Iron Oxide Nanoparticle Probes for Molecular Imaging
Thorek, D. L. J., Chen, A. K., Czupryna, J., & Tsourkas, A. (2006) · Annals of Biomedical Engineering · doi:10.1007/s10439-005-9002-7 · Cited by 772
Reimer, P., & Balzer, T. (2003) · European Radiology · doi:10.1007/s00330-002-1721-7 · Cited by 614
Self-citationSuperparamagnetic iron oxide based MRI contrast agents: Current status of clinical application.
Wáng, Y. X. J. (2011) · PubMed · doi:10.3978/j.issn.2223-4292.2011.08.03 · Cited by 613
Burrel, M., Llovet, J. M., Ayuso, C., Iglesias, C., Sala, M., Miquel, R., Caralt, T., Ayuso, J. R., Solé, M., Sanchez, M., et al. (2003) · Hepatology · doi:10.1002/hep.1840380430 · Cited by 451
Santoro, L., Grazioli, L., Filippone, A., Grassedonio, E., Belli, G., & Colagrande, S. (2009) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.21937 · Cited by 18
Metadata
- Authors
- Reimer, P., Jähnke, N., Fiebich, M., Schima, W., Deckers, F., Marx, C., Holzknecht, N., & Saini, S.
- Venue
- Radiology
- Published
- 2000-10
- Volume
- 217
- Issue
- 1
- Pages
- 152-158
- ISSN
- 0033-8419 (ISSN-L)
- 1527-1315
- OpenAlex
- W2161859610
- Cited by
- 188
- References
- 2
- FWCI
- 9.17
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Hepatic Lesion Detection and Characterization: Value of Nonenhanced MR Imaging, Superparamagnetic Iron Oxide-enhanced MR Imaging, and Spiral CT—ROC Analysis. https://app.cochat.ai/papers/10.1148/radiology.217.1.r00oc31152
- The paper
- Reimer, P., Jähnke, N., Fiebich, M., Schima, W., Deckers, F., Marx, C., Holzknecht, N., & Saini, S. (2000). Hepatic Lesion Detection and Characterization: Value of Nonenhanced MR Imaging, Superparamagnetic Iron Oxide-enhanced MR Imaging, and Spiral CT—ROC Analysis. Radiology. https://doi.org/10.1148/radiology.217.1.r00oc31152
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