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Cited by 450

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Magnetic Resonance Imaging/Ultrasound Fusion Guided Prostate Biopsy Improves Cancer Detection Following Transrectal Ultrasound Biopsy and Correlates With Multiparametric Magnetic Resonance Imaging

Open access
Pinto, Peter A., Chung, Paul H., Rastinehad, Ardeshir R., Baccala, Angelo A., Kruecker, Jochen, Benjamin, Compton J., Xu, Sheng, Yan, Pingkun, Kadoury, Samuel, Chua, Celene, Locklin, Julia K., Turkbey, Baris, Shih, Joanna H., Gates, Stacey P., Buckner, Carey, Bratslavsky, Gennady, Linehan, W. Marston, Glossop, Neil D., Choyke, Peter L., Wood, Bradford J.·2011·Journal of Urology

Abstract

PURPOSE: A novel platform was developed that fuses pre-biopsy magnetic resonance imaging with real-time transrectal ultrasound imaging to identify and biopsy lesions suspicious for prostate cancer. The cancer detection rates for the first 101 patients are reported. MATERIALS AND METHODS: This prospective, single institution study was approved by the institutional review board. Patients underwent 3.0 T multiparametric magnetic resonance imaging with endorectal coil, which included T2-weighted, spectroscopic, dynamic contrast enhanced and diffusion weighted magnetic resonance imaging sequences. Lesions suspicious for cancer were graded according to the number of sequences suspicious for cancer as low (2 or less), moderate (3) and high (4) suspicion. Patients underwent standard 12-core transrectal ultrasound biopsy and magnetic resonance imaging/ultrasound fusion guided biopsy with electromagnetic tracking of magnetic resonance imaging lesions. Chi-square and within cluster resampling analyses were used to correlate suspicion on magnetic resonance imaging and the incidence of cancer detected on biopsy. RESULTS: Mean patient age was 63 years old. Median prostate specific antigen at biopsy was 5.8 ng/ml and 90.1% of patients had a negative digital rectal examination. Of patients with low, moderate and high suspicion on magnetic resonance imaging 27.9%, 66.7% and 89.5% were diagnosed with cancer, respectively (p <0.0001). Magnetic resonance imaging/ultrasound fusion guided biopsy detected more cancer per core than standard 12-core transrectal ultrasound biopsy for all levels of suspicion on magnetic resonance imaging. CONCLUSIONS: Prostate cancer localized on magnetic resonance imaging may be targeted using this novel magnetic resonance imaging/ultrasound fusion guided biopsy platform. Further research is needed to determine the role of this platform in cancer detection, active surveillance and focal therapy, and to determine which patients may benefit.

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Metadata

Authors
Pinto, P. A., Chung, P. H., Rastinehad, A. R., Baccala, A. A., Kruecker, J., Benjamin, C. J., Xu, S., Yan, P., Kadoury, S., Chua, C., Locklin, J. K., Turkbey, B., Shih, J. H., Gates, S. P., Buckner, C., Bratslavsky, G., Linehan, W. M., Glossop, N. D., Choyke, P. L., & Wood, B. J.
Venue
Journal of Urology
Published
2011-10
Volume
186
Issue
4
Pages
1281-1285
ISSN
  • 0022-5347 (ISSN-L)
  • 1527-3792
OpenAlex
W2148844122
Cited by
450
References
12
FWCI
46.27
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Magnetic Resonance Imaging/Ultrasound Fusion Guided Prostate Biopsy Improves Cancer Detection Following Transrectal Ultrasound Biopsy and Correlates With Multiparametric Magnetic Resonance Imaging. https://app.cochat.ai/papers/10.1016/j.juro.2011.05.078
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Pinto, P. A., Chung, P. H., Rastinehad, A. R., Baccala, A. A., Kruecker, J., Benjamin, C. J., Xu, S., Yan, P., Kadoury, S., Chua, C., Locklin, J. K., Turkbey, B., Shih, J. H., Gates, S. P., Buckner, C., Bratslavsky, G., Linehan, W. M., Glossop, N. D., Choyke, P. L., & Wood, B. J. (2011). Magnetic Resonance Imaging/Ultrasound Fusion Guided Prostate Biopsy Improves Cancer Detection Following Transrectal Ultrasound Biopsy and Correlates With Multiparametric Magnetic Resonance Imaging. Journal of Urology. https://doi.org/10.1016/j.juro.2011.05.078

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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