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Proceedings Paper

Workflow assessment of 3T MRI-guided transperineal targeted prostate biopsy using a robotic needle guidance
Author(s): Sang-Eun Song; Kemal Tuncali; Junichi Tokuda; Andriy Fedorov; Tobias Penzkofer; Fiona Fennessy; Clare Tempany; Kitaro Yoshimitsu; John Magill; Nobuhiko Hata
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Paper Abstract

Magnetic resonance imaging (MRI) guided transperineal targeted prostate biopsy has become a valuable instrument for detection of prostate cancer in patients with continuing suspicion for aggressive cancer after transrectal ultrasound guided (TRUS) guided biopsy. The MRI-guided procedures are performed using mechanical targeting devices or templates, which suffer from limitations of spatial sampling resolution and/or manual in-bore adjustments. To overcome these limitations, we developed and clinically deployed an MRI-compatible piezoceramic-motor actuated needle guidance device, Smart Template, which allows automated needle guidance with high targeting resolution for use in a wide closed-bore 3-Tesla MRI scanner. One of the main limitations of the MRI-guided procedure is the lengthy procedure time compared to conventional TRUS-guided procedures. In order to optimize the procedure, we assessed workflow of 30 MRI-guided biopsy procedures using the Smart Template with focus on procedure time. An average of 3.4 (range: 2~6) targets were preprocedurally selected per procedure and 2.2 ± 0.8 biopsies were performed for each target with an average insertion attempt of 1.9 ± 0.7 per biopsy. The average technical preparation time was 14 ± 7 min and the in-MRI patient preparation time was 42 ± 7 min. After 21 ± 7 min of initial imaging, 64 ± 12 min of biopsy was performed yielding an average of 10 ± 2 min per tissue sample. The total procedure time occupying the MRI suite was 138 ± 16 min. No noticeable tendency in the length of any time segment was observed over the 30 clinical cases.

Paper Details

Date Published: 12 March 2014
PDF: 6 pages
Proc. SPIE 9036, Medical Imaging 2014: Image-Guided Procedures, Robotic Interventions, and Modeling, 903612 (12 March 2014); doi: 10.1117/12.2043766
Show Author Affiliations
Sang-Eun Song, Brigham and Women's Hospital (United States)
Kemal Tuncali, Brigham and Women's Hospital (United States)
Junichi Tokuda, Brigham and Women's Hospital (United States)
Andriy Fedorov, Brigham and Women's Hospital (United States)
Tobias Penzkofer, Brigham and Women's Hospital (United States)
RWTH Aachen Univ. Hospital (Germany)
Fiona Fennessy, Brigham and Women's Hospital (United States)
Clare Tempany, Brigham and Women's Hospital (United States)
Kitaro Yoshimitsu, Brigham and Women's Hospital (United States)
Tokyo Women's Medical Univ. (Japan)
John Magill, Physical Sciences Inc. (United States)
Nobuhiko Hata, Brigham and Women's Hospital (United States)


Published in SPIE Proceedings Vol. 9036:
Medical Imaging 2014: Image-Guided Procedures, Robotic Interventions, and Modeling
Ziv R. Yaniv; David R. Holmes, Editor(s)

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