Accuracy evaluation of a 3D ultrasound-guided biopsy system

Early detection of prostate cancer is critical in maximizing the probability of successful treatment. Current systematic biopsy approach takes 12 or more randomly distributed core tissue samples within the prostate and can have a high potential, especially with early disease, for a false negative diagnosis. The purpose of this study is to determine the accuracy of a 3D ultrasound-guided biopsy system. Testing was conducted on prostate phantoms created from an agar mixture which had embedded markers. The phantoms were scanned and the 3D ultrasound system was used to direct the biopsy. Each phantom was analyzed with a CT scan to obtain needle deflection measurements. The deflection experienced throughout the biopsy process was dependent on the depth of the biopsy target. The results for markers at a depth of less than 20 mm, 20-30 mm, and greater than 30 mm were 3.3 mm, 4.7 mm, and 6.2 mm, respectively. This measurement encapsulates the entire biopsy process, from the scanning of the phantom to the firing of the biopsy needle. Increased depth of the biopsy target caused a greater deflection from the intended path in most cases which was due to an angular incidence of the biopsy needle. Although some deflection was present, this system exhibits a clear advantage in the targeted biopsy of prostate cancer and has the potential to reduce the number of false negative biopsies for large lesions.

[1]  Pingkun Yan,et al.  Magnetic resonance imaging/ultrasound fusion guided prostate biopsy improves cancer detection following transrectal ultrasound biopsy and correlates with multiparametric magnetic resonance imaging. , 2011, The Journal of urology.

[2]  Aaron Fenster,et al.  Automatic 3D segmentation of ultrasound images using atlas registration and statistical texture prior , 2011, Medical Imaging.

[3]  David L Wilson,et al.  A comparative study of warping and rigid body registration for the prostate and pelvic MR volumes. , 2003, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

[4]  Jonathan S. Lewin,et al.  Slice-to-volume registration and its potential application to interventional MRI-guided radio-frequency thermal ablation of prostate cancer , 2003, IEEE Transactions on Medical Imaging.

[5]  David L. Wilson,et al.  Registration algorithms for interventional MRI-guided treatment of the prostate , 2003, SPIE Medical Imaging.

[6]  Baowei Fei,et al.  3D ultrasound image segmentation using wavelet support vector machines. , 2012, Medical physics.

[7]  P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .

[8]  Aaron Fenster,et al.  Three-dimensional ultrasound imaging and its use in quantifying organ and pathology volumes , 2003, Analytical and bioanalytical chemistry.

[9]  David L. Wilson,et al.  Robust registration method for interventional MRI-guided thermal ablation of prostate cancer , 2001, SPIE Medical Imaging.

[10]  Baowei Fei,et al.  Choline PET for Monitoring Early Tumor Response to Photodynamic Therapy , 2010, Journal of Nuclear Medicine.

[11]  G. G. Stokes.  "J." , 1890, The New Yale Book of Quotations.

[12]  Baowei Fei,et al.  3D prostate segmentation of ultrasound images combining longitudinal image registration and machine learning , 2012, Medical Imaging.

[13]  Baowei Fei,et al.  3D non-rigid registration using surface and local salient features for transrectal ultrasound image-guided prostate biopsy , 2011, Medical Imaging.

[14]  Baowei Fei,et al.  3D segmentation of prostate ultrasound images using wavelet transform , 2011, Medical Imaging.

[15]  David L. Wilson,et al.  Semiautomatic nonrigid registration for the prostate and pelvic MR volumes. , 2005, Academic radiology.

[16]  Baowei Fei,et al.  TU‐A‐BRA‐02: Incorporating PET/CT Images into 3D Ultrasound‐Guided Biopsy of the Prostate , 2012 .

[17]  Nancy L. Oleinick,et al.  In vivo small animal imaging for early assessment of therapeutic efficacy of photodynamic therapy for prostate cancer , 2007, SPIE Medical Imaging.

[18]  Baowei Fei,et al.  High‐field magnetic resonance imaging of the response of human prostate cancer to Pc 4‐based photodynamic therapy in an animal model , 2007, Lasers in surgery and medicine.

[19]  David L. Wilson,et al.  Three-dimensional warping registration of the pelvis and prostate , 2002, SPIE Medical Imaging.

[20]  Aaas News,et al.  Book Reviews , 1893, Buffalo Medical and Surgical Journal.

[21]  H. Hricak,et al.  MR imaging and MR spectroscopic imaging in the pre-treatment evaluation of prostate cancer. , 2005, The British journal of radiology.

[22]  Martin Krapcho,et al.  SEER Cancer Statistics Review, 1975–2009 (Vintage 2009 Populations) , 2012 .

[23]  Aaron Fenster,et al.  A molecular image-directed, 3D ultrasound-guided biopsy system for the prostate , 2012, Medical Imaging.

[24]  Jonathan S. Lewin,et al.  Image Registration and Fusion for Interventional MRI Guided Thermal Ablation of the Prostate Cancer , 2003, MICCAI.

[25]  David L. Wilson,et al.  Automatic MR volume registration and its evaluation for the pelvis and prostate. , 2002, Physics in medicine and biology.

[26]  David L. Wilson,et al.  Image Registration for Interventional MRI Guided Procedures: Interpolation Methods, Similarity Measurements, and Applications to the Prostate , 2003, WBIR.

[27]  Aaron Fenster,et al.  A PET/CT Directed, 3D Ultrasound-Guided Biopsy System for Prostate Cancer , 2011, Prostate Cancer Imaging.

[28]  David L Wilson,et al.  Automatic 3D registration for interventional MRI-guided treatment of prostate cancer. , 2002, Computer aided surgery : official journal of the International Society for Computer Aided Surgery.