Simulated required accuracy of image registration tools for targeting high-grade cancer components with prostate biopsies.
Objectives: To estimate the required spatial alignment accuracy for correctly grading 95 % of peripheral zone (PZ) prostate cancers using a system for multiparametric magnetic resonance (MR)-guided ultrasound (US) biopsies.Methods: PZ prostate tumours were retrospectively annotated on multiparametri...
| Published in: | European Radiology Vol. 23; no. 5; pp. 1401 - 1408 |
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| Main Authors: | , , , , |
| Format: | research Journal Article |
| Published: |
Springer Nature
May2013
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104269968&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104269968 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: May2013 vid: 23 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104269968 86879570 NLM23138386 2012081812 10.1007/s00330-012-2701-1 NLM23138386 104269968 ppf: 1401 ppct: 7 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Simulated required accuracy of image registration tools for targeting high-grade cancer components with prostate biopsies. aug: au: van de Ven, Wendy J M Hulsbergen-van de Kaa, Christina A Hambrock, Thomas Barentsz, Jelle O Huisman, Henkjan J affil: Department of Radiology, Radboud University Nijmegen Medical Centre, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands, W.vandeVen@rad.umcn.nl. sug: subj: Algorithms Image Interpretation, Computer Assisted Methods Magnetic Resonance Imaging Methods Models, Biological Methods Prostatic Neoplasms Subtraction Technique Computer Simulation Human Image Enhancement Methods Male Prognosis Reproducibility of Results Sensitivity and Specificity Male ab: Objectives: To estimate the required spatial alignment accuracy for correctly grading 95 % of peripheral zone (PZ) prostate cancers using a system for multiparametric magnetic resonance (MR)-guided ultrasound (US) biopsies.Methods: PZ prostate tumours were retrospectively annotated on multiparametric MR series using prostatectomy specimens as reference standard. Tumours were grouped based on homogeneous and heterogeneous apparent diffusion coefficient (ADC) values using an automated ADC texture analysis method. The proportion of heterogeneous tumours containing a distinct, high Gleason grade tumour focus yielding low ADC values was determined. Both overall tumour and high-grade focal volumes were calculated. All high-grade target volumes were then used in a simulated US biopsy system with adjustable accuracy to determine the hit rate.Results: An ADC-determined high-grade tumour focus was found in 63 % of the PZ prostate tumours. The focal volumes were significantly smaller than the total tumour volumes (median volume of 0.3 ml and 1.1 ml respectively). To correctly grade 95 % of the aggressive tumour components the target registration error (TRE) should be smaller than 1.9 mm.Conclusions: To enable finding the high Gleason grade component in 95 % of PZ prostate tumours with MR-guided US biopsies, a technical registration accuracy of 1.9 mm is required.Key Points: • MRI can identify foci of prostatic cancer with reduced apparent diffusion coefficients • Sixty-three per cent of prostatic peripheral zone tumours contain high-grade tumour low ADC foci • The median volume of such foci is 0.3 ml • Biopsy targets are significantly smaller than whole tumour volumes • Simulated registration accuracy is 1.9 mm for correctly grading 95 % of tumours. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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