| Literature DB >> 27895675 |
Pawel Zogal1, Georgios Sakas1, Woerner Rösch2, Dimos Baltas3.
Abstract
In the recent years, prostate cancer was the most commonly diagnosed cancer in men. Currently secure diagnosis confirmation is done by a transrectal biopsy and following histopathological examination. Conventional transrectal biopsy success rates are rather low with ca. 30% detection upon the first and ca 20% after re-biopsy. The paper presents a novel system for stereotactic navigated prostate biopsy. The approach results into higher accuracy, reproducibility and unrestricted and effective access to all prostate regions. Custom designed ultrasound, new template design and integrated 2-axes stepper allows superior 2D and 3D prostate imaging quality and precise needle navigation. DICOM functionality and image fusion enable to import pre-operative datasets (e.g. multiparametric MRI, targets etc.) and overlay all available radiological information into the biopsy planning and guiding procedure. The biopsy needle insertion itself is performed under augmented reality ultrasound guidance. Each procedure step is automatically documented in order to provide quality assurance and permit data re-usage for the further treatment. First clinical results indicates success rates of ca. 70% by first biopsies by our approach.Entities:
Keywords: image fusion; magnetic resonance imaging; navigated biopsy; prostate cancer; ultrasound
Year: 2011 PMID: 27895675 PMCID: PMC5117536 DOI: 10.5114/jcb.2011.23203
Source DB: PubMed Journal: J Contemp Brachytherapy ISSN: 2081-2841
Fig. 1The BiopSee® cart with the stepper fixation
Fig. 2The one-hole needle guidance device
Fig. 3The stepper-probe set-up
Fig. 4A 3D U/S dataset with contoured structures and a planned biopsy inside a marked lesion
Fig. 5Image fusion with mixed images (MRI – U/S) in the top row and ultrasound only in the bottom row
Fig. 6An example of a longitudinal ultrasound image with the guiding overlay. The inserted needle is slightly off the planned one for demonstration purposes
Fig. 7Automatic documentation of each core