4-D spatiotemporal analysis of ultrasound contrast agent dispersion for prostate cancer localization: a feasibility study

Currently, nonradical treatment for prostate cancer is hampered by the lack of reliable diagnostics. Contrastultrasound dispersion imaging (CUDI) has recently shown great potential as a prostate cancer imaging technique. CUDI estimates the local dispersion of intravenously injected contrast agents, imaged by transrectal dynamic contrast-enhanced ultrasound (DCE-US), to detect angiogenic processes related to tumor growth. The best CUDI results have so far been obtained by similarity analysis of the contrast kinetics in neighboring pixels. To date, CUDI has been investigated in 2-D only. In this paper, an implementation of 3-D CUDI based on spatiotemporal similarity analysis of 4-D DCE-US is described. Different from 2-D methods, 3-D CUDI permits analysis of the entire prostate using a single injection of contrast agent. To perform 3-D CUDI, a new strategy was designed to estimate the similarity in the contrast kinetics at each voxel, and data processing steps were adjusted to the characteristics of 4-D DCE-US images. The technical feasibility of 4-D DCE-US in 3-D CUDI was assessed and confirmed. Additionally, in a preliminary validation in two patients, dispersion maps by 3-D CUDI were quantitatively compared with those by 2-D CUDI and with 12-core systematic biopsies with promising results.

[1]  P. Carmeliet,et al.  Angiogenesis in cancer and other diseases , 2000, Nature.

[2]  Massimo Mischi,et al.  Contrast-Ultrasound Diffusion Imaging for Localization of Prostate Cancer , 2011, IEEE Transactions on Medical Imaging.

[3]  A. Rosenkrantz,et al.  Prostate imaging reporting and data system (PI-RADS): reflections on early experience with a standardized interpretation scheme for multiparametric prostate MRI. , 2014, AJR. American journal of roentgenology.

[4]  S. Fosså,et al.  Concordance between Gleason scores of needle biopsies and radical prostatectomy specimens: a population‐based study , 2009, BJU international.

[5]  M. Mischi,et al.  Multiparametric dynamic contrast-enhanced ultrasound imaging of prostate cancer , 2016, European Radiology.

[6]  E. Halpern,et al.  Contrast-enhanced ultrasound imaging of prostate cancer. , 2006, Reviews in urology.

[7]  Massimo Mischi,et al.  1054 Prostate cancer localization by contrast-ultrasound-dispersion imaging: Results from a pilot study , 2014 .

[8]  Rodolfo Montironi,et al.  Handling and pathology reporting of radical prostatectomy specimens. , 2003, European urology.

[9]  David Cosgrove,et al.  Contrast-enhanced ultrasound and prostate cancer; a multicentre European research coordination project. , 2008, European urology.

[10]  G. Krūmiņa,et al.  The value and limitations of contrast-enhanced ultrasound in detection of prostate cancer. , 2011, Anticancer research.

[11]  Werner Jaschke,et al.  Evaluation of the PI-RADS Scoring System for Classifying mpMRI Findings in Men with Suspicion of Prostate Cancer , 2013, BioMed research international.

[12]  K H Norwich,et al.  The dispersion of indicator in the cardio-pulmonary system. , 1970, The Bulletin of mathematical biophysics.

[13]  R. Karshafian,et al.  Quantification of flow using ultrasound and microbubbles: a disruption replenishment model based on physical principles. , 2009, Ultrasound in medicine & biology.

[14]  J. Ferlay,et al.  Cancer incidence and mortality patterns in Europe: estimates for 40 countries in 2012. , 2013, European journal of cancer.

[15]  Martijn Smeenge,et al.  Current status of transrectal ultrasound techniques in prostate cancer , 2012, Current opinion in urology.

[16]  Baris Turkbey,et al.  Multiparametric MRI and prostate cancer diagnosis and risk stratification , 2012, Current opinion in urology.

[17]  N. Dubrawsky.  Cancer statistics , 1989, CA: a cancer journal for clinicians.

[18]  Levkovich YuI,et al.  Blood flow velocity in capillaries of brain and muscles and its physiological significance. , 1981, Microvascular research.

[19]  Saradwata Sarkar,et al.  A Review of Imaging Methods for Prostate Cancer Detection , 2016, Biomedical engineering and computational biology.

[20]  Judd W. Moul,et al.  Contemporary Radical Prostatectomy , 2011, Prostate cancer.

[21]  A. D'Amico,et al.  Guideline for the management of clinically localized prostate cancer: 2007 update. , 2007, The Journal of urology.

[22]  C. Moore,et al.  MRI-targeted prostate biopsy: a review of technique and results , 2013, Nature Reviews Urology.

[23]  Ivanov Kp,et al.  Blood flow velocity in capillaries of brain and muscles and its physiological significance , 1981 .

[24]  Marco Zaider,et al.  Combined brachytherapy with external beam radiotherapy for localized prostate cancer: reduced morbidity with an intraoperative brachytherapy planning technique and supplemental intensity-modulated radiation therapy. , 2008, Brachytherapy.

[25]  Massimo Mischi,et al.  Novel contrast-enhanced ultrasound imaging in prostate cancer , 2011, World Journal of Urology.

[26]  Chris Metcalfe,et al.  Short term outcomes of prostate biopsy in men tested for cancer by prostate specific antigen: prospective evaluation within ProtecT study , 2012, BMJ : British Medical Journal.

[27]  Massimo Mischi,et al.  Angiogenesis in prostate cancer: onset, progression and imaging , 2012, BJU international.

[28]  M. Mischi,et al.  Contrast-ultrasound dispersion imaging for prostate cancer localization by improved spatiotemporal similarity analysis. , 2013, Ultrasound in medicine & biology.

[29]  E. Şerefoğlu,et al.  How reliable is 12-core prostate biopsy procedure in the detection of prostate cancer? , 2012, Canadian Urological Association journal = Journal de l'Association des urologues du Canada.

[30]  R. Memo,et al.  Shear Wave Ultrasound Elastography of the Prostate: Initial Results , 2012, Ultrasound quarterly.

[31]  A. Jemal,et al.  Cancer statistics, 2014 , 2014, CA: a cancer journal for clinicians.

[32]  R. Kolar,et al.  Ultrasound perfusion analysis combining bolus-tracking and burst-replenishment , 2013, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[33]  Amita Shukla-Dave,et al.  Role of MRI in prostate cancer detection , 2014, NMR in biomedicine.

[34]  C. Roehrborn,et al.  Using biopsy to detect prostate cancer. , 2008, Reviews in urology.

[35]  Dan Theodorescu,et al.  Angiogenesis and prostate cancer tumor growth , 2004, Journal of cellular biochemistry.

[36]  David Cosgrove,et al.  Imaging of perfusion using ultrasound , 2010, European Journal of Nuclear Medicine and Molecular Imaging.

[37]  D. Gleason,et al.  PREDICTION OF PROGNOSIS FOR PROSTATIC ADENOCARCINOMA BY COMBINED HISTOLOGICAL GRADING AND CLINICAL STAGING , 2017, The Journal of urology.

[38]  M. Mischi,et al.  Angiogenesis imaging by spatiotemporal analysis of ultrasound contrast agent dispersion kinetics , 2012, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[39]  J. Fütterer,et al.  ESUR prostate MR guidelines 2012 , 2012, European Radiology.

[40]  A R Jayaweera,et al.  Quantification of myocardial blood flow with ultrasound-induced destruction of microbubbles administered as a constant venous infusion. , 1998, Circulation.

[41]  Massimo Mischi,et al.  Correspondence - Spatiotemporal correlation of ultrasound contrast agent dilution curves for angiogenesis localization by dispersion imaging , 2013, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.

[42]  Hendrikus H. M. Korsten,et al.  Maximum-Likelihood Estimation for Indicator Dilution Analysis , 2014, IEEE Transactions on Biomedical Engineering.

[43]  Guillaume Barrois,et al.  A multiplicative model for improving microvascular flow estimation in dynamic contrast-enhanced ultrasound (DCE-US): theory and experimental validation , 2013, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.

[44]  E. Halpern,et al.  Targeted biopsy of the prostate: the impact of color Doppler imaging and elastography on prostate cancer detection and Gleason score. , 2007, Urology.

[45]  G. Bartsch,et al.  Prostate cancer diagnosis: value of real-time elastography , 2008, Abdominal Imaging.

[46]  Nathalie Lassau,et al.  Methodology for quantifying interactions between perfusion evaluated by DCE-US and hypoxia throughout tumor growth. , 2007, Ultrasound in medicine & biology.