Literature DB >> 25981403

Accuracy of cognitive MRI-targeted biopsy in hitting prostate cancer-positive regions of interest.

Yannick Cerantola1,2, Eléonore Haberer1, Jose Torres3, Mona Alameldin3, Samuel Aronson1, Mark Levental4, Franck Bladou1, Maurice Anidjar5.   

Abstract

PURPOSE: Prostate cancer (PCa) diagnosis relies on clinical suspicion leading to systematic transrectal ultrasound-guided biopsy (TRUSGB). Multiparametric magnetic resonance imaging (mpMRI) allows for targeted biopsy of suspicious areas of the prostate instead of random 12-core biopsy. This method has been shown to be more accurate in detecting significant PCa. However, the precise spatial accuracy of cognitive targeting is unknown.
METHODS: Consecutive patients undergoing mpMRI-targeted TRUSGB with cognitive registration (MRTB-COG) followed by robot-assisted radical prostatectomy were included in the present analysis. The regions of interest (ROIs) involved by the index lesion reported on mpMRI were subsequently targeted by two experienced urologists using the cognitive approach. The 27 ROIs were used as spatial reference. Mapping on radical prostatectomy specimen was used as reference to determine true-positive mpMRI findings. Per core correlation analysis was performed.
RESULTS: Forty patients were included. Overall, 40 index lesions involving 137 ROIs (mean ROIs per index lesion 3.43) were identified on MRI. After correlating these findings with final pathology, 117 ROIs (85 %) were considered as true-positive lesions. A total of 102 biopsy cores directed toward such true-positive ROIs were available for final analysis. Cognitive targeted biopsy hit the target in 82 % of the cases (84/102). The only identified risk factor for missing the target was an anterior situated ROI (p = 0.01).
CONCLUSION: In experienced hands, cognitive MRTB-COG allows for an accuracy of 82 % in hitting the correct target, given that it is a true-positive lesion. Anterior tumors are less likely to be successfully targeted.

Entities:  

Keywords:  Accuracy; Cognitive targeted biopsy; Correlation; Index lesion; MRI; Prostate cancer

Mesh:

Year:  2015        PMID: 25981403     DOI: 10.1007/s00345-015-1588-2

Source DB:  PubMed          Journal:  World J Urol        ISSN: 0724-4983            Impact factor:   4.226


  27 in total

1.  Impact of the type of ultrasound probe on prostate cancer detection rate and characterization in patients undergoing MRI-targeted prostate biopsies using cognitive fusion.

Authors:  Guillaume Ploussard; Samuel Aronson; Vincent Pelsser; Mark Levental; Maurice Anidjar; Franck Bladou
Journal:  World J Urol       Date:  2013-10-16       Impact factor: 4.226

2.  Comparison of MR/ultrasound fusion-guided biopsy with ultrasound-guided biopsy for the diagnosis of prostate cancer.

Authors:  M Minhaj Siddiqui; Soroush Rais-Bahrami; Baris Turkbey; Arvin K George; Jason Rothwax; Nabeel Shakir; Chinonyerem Okoro; Dima Raskolnikov; Howard L Parnes; W Marston Linehan; Maria J Merino; Richard M Simon; Peter L Choyke; Bradford J Wood; Peter A Pinto
Journal:  JAMA       Date:  2015-01-27       Impact factor: 56.272

3.  Tumor target volume for focal therapy of prostate cancer-does multiparametric magnetic resonance imaging allow for a reliable estimation?

Authors:  F Cornud; Gaby Khoury; Naim Bouazza; Frederic Beuvon; Michael Peyromaure; Thierry Flam; Marc Zerbib; Paul Legmann; Nicolas B Delongchamps
Journal:  J Urol       Date:  2013-12-12       Impact factor: 7.450

4.  Effect of targeted biopsy guided by elastic image fusion of MRI with 3D-TRUS on diagnosis of anterior prostate cancer.

Authors:  Eduard Baco; Erik Rud; Osamu Ukimura; Ljiljana Vlatkovic; Aud Svindland; Toru Matsugasumi; Jean-Christophe Bernhard; John C Rewcastle; Heidi B Eggesbø
Journal:  Urol Oncol       Date:  2014-09-02       Impact factor: 3.498

5.  Role of magnetic resonance imaging before initial biopsy: comparison of magnetic resonance imaging-targeted and systematic biopsy for significant prostate cancer detection.

Authors:  Jérémie Haffner; Laurent Lemaitre; Philippe Puech; Georges-Pascal Haber; Xavier Leroy; J Stephen Jones; Arnauld Villers
Journal:  BJU Int       Date:  2011-03-22       Impact factor: 5.588

6.  Prostate biopsy concordance in a large population-based sample: a Surveillance, Epidemiology and End Results study.

Authors:  David Schreiber; Andrew T Wong; Justin Rineer; Jeremy Weedon; David Schwartz
Journal:  J Clin Pathol       Date:  2015-03-11       Impact factor: 3.411

7.  Correlation of magnetic resonance imaging tumor volume with histopathology.

Authors:  Baris Turkbey; Haresh Mani; Omer Aras; Ardeshir R Rastinehad; Vijay Shah; Marcelino Bernardo; Thomas Pohida; Dagane Daar; Compton Benjamin; Yolanda L McKinney; W Marston Linehan; Bradford J Wood; Maria J Merino; Peter L Choyke; Peter A Pinto
Journal:  J Urol       Date:  2012-08-15       Impact factor: 7.450

Review 8.  Current status of magnetic resonance imaging (MRI) and ultrasonography fusion software platforms for guidance of prostate biopsies.

Authors:  Jennifer K Logan; Soroush Rais-Bahrami; Baris Turkbey; Andrew Gomella; Hayet Amalou; Peter L Choyke; Bradford J Wood; Peter A Pinto
Journal:  BJU Int       Date:  2014-05-22       Impact factor: 5.588

Review 9.  MRI-ultrasound fusion for guidance of targeted prostate biopsy.

Authors:  Leonard Marks; Shelena Young; Shyam Natarajan
Journal:  Curr Opin Urol       Date:  2013-01       Impact factor: 2.309

10.  Diffusion-weighted magnetic resonance imaging detects significant prostate cancer with high probability.

Authors:  Lauren J Bains; Urs E Studer; Johannes M Froehlich; Gianluca Giannarini; Maria Triantafyllou; Achim Fleischmann; Harriet C Thoeny
Journal:  J Urol       Date:  2014-03-15       Impact factor: 7.450

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  5 in total

Review 1.  Novel Imaging of Prostate Cancer with MRI, MRI/US, and PET.

Authors:  Phillip J Koo; Jennifer J Kwak; Sajal Pokharel; Peter L Choyke
Journal:  Curr Oncol Rep       Date:  2015-12       Impact factor: 5.075

2.  18F-Choline PET/MRI: The Additional Value of PET for MRI-Guided Transrectal Prostate Biopsies.

Authors:  Morand Piert; Jeffrey Montgomery; Lakshmi Priya Kunju; Javed Siddiqui; Virginia Rogers; Thekkelnaycke Rajendiran; Timothy D Johnson; Xia Shao; Matthew S Davenport
Journal:  J Nucl Med       Date:  2016-03-16       Impact factor: 10.057

3.  An Analytic Model for the Success Rate of a Robotic Actuator System in Hitting Random Targets.

Authors:  Stuart Bradley
Journal:  Sensors (Basel)       Date:  2015-11-20       Impact factor: 3.576

4.  Outcomes of combination MRI-targeted and transperineal template biopsy in restaging low-risk prostate cancer for active surveillance.

Authors:  Kenneth Chen; Kae Jack Tay; Yan Mee Law; Hakan Aydin; Henry Ho; Christopher Cheng; John Shyi Peng Yuen
Journal:  Asian J Urol       Date:  2017-07-12

5.  The Influence of Serum Prostate-Specific Antigen on the Accuracy of Magnetic Resonance Imaging Targeted Biopsy versus Saturation Biopsy in Patients with Previous Negative Biopsy.

Authors:  Chao-Hsiang Chang; Hung-Chieh Chiu; Wei-Ching Lin; Tzu-Lung Ho; Han Chang; Yi-Huei Chang; Chi-Ping Huang; Hsi-Chin Wu; Chi-Rei Yang; Po-Fan Hsieh
Journal:  Biomed Res Int       Date:  2017-10-11       Impact factor: 3.411

  5 in total

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