Accuracy analysis in MRI-guided robotic prostate biopsy

Xu, Helen S.; Lassó, András; Guion, Peter; Krieger, Axel; Kaushal, Aradhana; Singh, Anurag K.; Pinto, Peter A.; Coleman, Jonathan; Grubb, Robert L.; Lattouf, Jean‐Baptiste; Ménard, Cynthia; Whitcomb, Louis L.; Fichtinger, Gabor

doi:10.1007/s11548-013-0831-9

Cited by 18 publications

(21 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An MRI-guided robotic prostate biopsy system, named APT-MRI robotic biopsy system, has been reported with an accuracy within 2 mm [174]. A real-time phase-only cross correlation (POCC) algorithm-based sequence has been used in transrectal 3T in-bore MR-guided prostate biopsies [175].…”

Section: Clinical Applicationsmentioning

confidence: 99%

Computer-aided Detection of Prostate Cancer with MRI

et al. 2016

View full text Add to dashboard Cite

One in six men will develop prostate cancer in his life time. Early detection and accurate diagnosis of the disease can improve cancer survival and reduce treatment costs. Recently, imaging of prostate cancer has greatly advanced since the introduction of multi-parametric magnetic resonance imaging (mp-MRI). Mp-MRI consists of T2-weighted sequences combined with functional sequences including dynamic contrast-enhanced MRI, diffusion-weighted MRI, and MR spectroscopy imaging. Due to the big data and variations in imaging sequences, detection can be affected by multiple factors such as observer variability and visibility and complexity of the lesions. In order to improve quantitative assessment of the disease, various computer-aided detection systems have been designed to help radiologists in their clinical practice. This review paper presents an overview of literatures on computer-aided detection of prostate cancer with mp-MRI, which include the technology and its applications. The aim of the survey is threefold: an introduction for those new to the field, an overview for those working in the field, and a reference for those searching for literature on a specific application.

show abstract

Section: Clinical Applicationsmentioning

confidence: 99%

Computer-aided Detection of Prostate Cancer with MRI

et al. 2016

View full text Add to dashboard Cite

show abstract

“…Both transrectal and transperineal approaches have been reported using this technique. [12][13][14][15] Prebiopsy MP-MR imaging is performed to identify target lesions. Patients are placed in the prone, supine, or decubitus position.…”

Section: In-bore Magnetic Resonance-guided Biopsymentioning

confidence: 99%

Section: In-bore Magnetic Resonance-guided Biopsymentioning

confidence: 99%

“…13 Further investigations are needed to improve targeting and develop methods to compensate for prostate gland displacements. 13 Transperineal MR-guided prostate biopsy was introduced initially by researchers from the Brigham and Women's Hospital. 14 Recently, they reported the performance of robotically assisted needle guide placement using transperineal MR-GB and compared that method with the manual placement through the template guide.…”

Section: In-bore Magnetic Resonance-guided Biopsymentioning

confidence: 99%

See 1 more Smart Citation

Magnetic Resonance-Guided Prostate Biopsy

Dianat

Carter

Macura

2015

Magnetic Resonance Imaging Clinics of North America

View full text Add to dashboard Cite

“…Our previous study [9] found a mean prostate centroid motion of 8.7 mm (range 0.2–34.7 mm) during MRI-guided transperineal biopsies based on 538 images. Xu et al [10] reported a mean prostate displacement of 5.2 mm (range 0.9–18 mm) for 90 needle insertions in MRI-guided transrectal biopsy, and 28 % of the biopsy errors exceeded 5 mm, which corresponds to the radius of a clinically significant tumor (0.5 cc) [11]. …”

Section: Introductionmentioning

confidence: 99%

Multi-slice-to-volume registration for MRI-guided transperineal prostate biopsy

Lassó

Fedorov

et al. 2014

Int J CARS

Self Cite

View full text Add to dashboard Cite

Purpose Prostate needle biopsy is a commonly performed procedure since it is the most definitive form of cancer diagnosis. Magnetic resonance imaging (MRI) allows target-specific biopsies to be performed. However, needle placements are often inaccurate due to intra-operative prostate motion and the lack of motion compensation techniques. This paper detects and determines the extent of tissue displacement during an MRI-guided biopsy so that the needle insertion plan can be adjusted accordingly. Methods A multi-slice-to-volume registration algorithm was developed to align the pre-operative planning image volume with three intra-operative orthogonal image slices of the prostate acquired immediately before needle insertion. The algorithm consists of an initial rigid transformation followed by a deformable step. Results A total of 14 image sets from 10 patients were studied. Based on prostate contour alignment, the registrations were accurate to within 2 mm. Conclusion This algorithm can be used to increase the needle targeting accuracy by alerting the clinician if the biopsy target has moved significantly prior to needle insertion. The proposed method demonstrated feasibility of intra-operative target localization and motion compensation for MRI-guided prostate biopsy.

show abstract

Accuracy analysis in MRI-guided robotic prostate biopsy

Cited by 18 publications

References 23 publications

Computer-aided Detection of Prostate Cancer with MRI

Computer-aided Detection of Prostate Cancer with MRI

Magnetic Resonance-Guided Prostate Biopsy

Multi-slice-to-volume registration for MRI-guided transperineal prostate biopsy

Contact Info

Product

Resources

About