{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,29]],"date-time":"2026-10-29T17:42:06Z","timestamp":1793295726068,"version":"4.5.0"},"reference-count":39,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,2,20]],"date-time":"2025-02-20T00:00:00Z","timestamp":1740009600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2025,2,20]],"date-time":"2025-02-20T00:00:00Z","timestamp":1740009600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/100013266","name":"Central Laser Facility, Science and Technology Facilities Council","doi-asserted-by":"publisher","award":["ST\/M007804\/1"],"award-info":[{"award-number":["ST\/M007804\/1"]}],"id":[{"id":"10.13039\/100013266","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Medical Research Council","award":["G0800896"],"award-info":[{"award-number":["G0800896"]}]},{"name":"Medical Research Council","award":["MRC\/CIC3\/027"],"award-info":[{"award-number":["MRC\/CIC3\/027"]}]},{"DOI":"10.13039\/501100000266","name":"Engineering and Physical Sciences Research Council","doi-asserted-by":"publisher","award":["EP\/N015320\/1"],"award-info":[{"award-number":["EP\/N015320\/1"]}],"id":[{"id":"10.13039\/501100000266","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Eur Radiol Exp"],"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Super-resolution ultrasound imaging (SRUI) is a rapidly expanding field with the potential to impact cancer management. Image processing algorithms applied to contrast-enhanced ultrasound (CEUS) video data can track the path of the contrast agent and produce high-resolution maps of vascular networks. Our aim was to develop SRUI for mapping prostate vascular dynamics and to assess the feasibility of identifying vascular patterns associated with prostate cancer.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Tracking algorithms for SRUI were developed using\n                      <jats:italic>in silico<\/jats:italic>\n                      data and validated in pre-clinical CEUS video collected from the sheep ovary. Algorithm performance was then assessed in a retrospective study of 54 image planes within 14 human prostates. CEUS data was collected for each plane, and regions of suspected cancer in each were identified from biopsy data.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Of three algorithms assessed, utilising vascular knowledge was found to be the most robust method. Regions of suspected cancer were associated with increased blood flow volume and speed while avascular regions were also identified. Ten scan planes had confirmed Gleason 7 cancer; of these 10 planes, 7 had distinct regions of fast and high-volume flow, while 6 had both avascular and high flow regions. The cancer-free planes had more consistent, low blood flow values across the plane.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>SRUI can be used to identify imaging biomarkers associated with vascular architecture and dynamics. These multiparameter biomarkers may be useful in pinpointing regions of significant prostate cancer.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Relevance statement<\/jats:title>\n                    <jats:p>Super-resolution ultrasound imaging can generate microvascular maps of the prostate, revealing tissue patterns and presenting significant potential for the identification of multiple biomarkers associated with the localisation of prostate cancer.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Trial registration<\/jats:title>\n                    <jats:p>\n                      Retrospectively registered NCT02831920, date 5\/7\/2016\n                      <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"https:\/\/www.clinicaltrials.gov\/study\/NCT02831920\" ext-link-type=\"uri\">https:\/\/www.clinicaltrials.gov\/study\/NCT02831920<\/jats:ext-link>\n                      .\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Key Points<\/jats:title>\n                    <jats:p>\n                      <jats:list list-type=\"bullet\">\n                        <jats:list-item>\n                          <jats:p>An algorithm was developed and tested in synthetic pre-clinical and clinical data.<\/jats:p>\n                        <\/jats:list-item>\n                        <jats:list-item>\n                          <jats:p>Maps of blood vessels were created using contrast-enhanced ultrasound imaging.<\/jats:p>\n                        <\/jats:list-item>\n                        <jats:list-item>\n                          <jats:p>Specific presentations of vasculature at regions of prostate cancer have been identified.<\/jats:p>\n                        <\/jats:list-item>\n                      <\/jats:list>\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Graphical Abstract<\/jats:title>\n                  <\/jats:sec>","DOI":"10.1186\/s41747-025-00561-6","type":"journal-article","created":{"date-parts":[[2025,2,20]],"date-time":"2025-02-20T02:24:43Z","timestamp":1740018283000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Mapping of prostate cancer microvascular patterns using super-resolution ultrasound imaging"],"prefix":"10.1186","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9064-929X","authenticated-orcid":false,"given":"Mairead B.","family":"Butler","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Georgios","family":"Papageorgiou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Evangelos D.","family":"Kanoulas","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vasiliki","family":"Voulgaridou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hessel","family":"Wijkstra","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Massimo","family":"Mischi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christophe K.","family":"Mannaerts","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Steven","family":"McDougall","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"William Colin","family":"Duncan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weiping","family":"Lu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vassilis","family":"Sboros","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,2,20]]},"reference":[{"key":"561_CR1","doi-asserted-by":"publisher","first-page":"63","DOI":"10.14740\/wjon1191","volume":"10","author":"P Rawla","year":"2019","unstructured":"Rawla P (2019) Epidemiology of prostate cancer. World J Oncol 10:63\u201389. https:\/\/doi.org\/10.14740\/wjon1191","journal-title":"World J Oncol"},{"key":"561_CR2","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1159\/000477852","volume":"85","author":"Y Tolkach","year":"2018","unstructured":"Tolkach Y, Kristiansen G (2018) The heterogeneity of prostate cancer: a practical approach. Pathobiology 85:108\u2013116. https:\/\/doi.org\/10.1159\/000477852","journal-title":"Pathobiology"},{"key":"561_CR3","doi-asserted-by":"publisher","first-page":"95","DOI":"10.12865\/CHSJ.48.01.14","volume":"48","author":"TCT Popescu","year":"2022","unstructured":"Popescu TCT, Stepan AE, Florescu MM, Simionescu CE (2022) Histopathological study of the prostate cancer growth patterns in relation with the grading systems. Curr Health Sci 48:95\u2013101. https:\/\/doi.org\/10.12865\/CHSJ.48.01.14","journal-title":"Curr Health Sci"},{"key":"561_CR4","doi-asserted-by":"publisher","first-page":"2653","DOI":"10.18632\/aging.101938","volume":"11","author":"TT Liu","year":"2019","unstructured":"Liu TT, Thomas S, McLean DT et al (2019) Prostate enlargement and altered urinary function are part of the aging process. Aging (Albany NY) 11:2653\u20132669. https:\/\/doi.org\/10.18632\/aging.101938","journal-title":"Aging (Albany NY)"},{"key":"561_CR5","doi-asserted-by":"publisher","first-page":"1458","DOI":"10.1016\/j.juro.2009.06.047","volume":"182","author":"S Loeb","year":"2009","unstructured":"Loeb S, Kettermann A, Carter HB et al (2009) Prostate volume changes over time: results from the Baltimore longitudinal study of aging. J Urol 182:1458\u20131462. https:\/\/doi.org\/10.1016\/j.juro.2009.06.047","journal-title":"J Urol"},{"key":"561_CR6","doi-asserted-by":"publisher","first-page":"815","DOI":"10.1016\/S0140-6736(16)32401-1","volume":"389","author":"HU Ahmed","year":"2017","unstructured":"Ahmed HU, El-Shater Bosaily A, Brown LC et al (2017) Diagnostic accuracy of multi-parametric MRI and TRUS biopsy in prostate cancer (PROMIS): a paired validating confirmatory study. Lancet 389:815\u2013822. https:\/\/doi.org\/10.1016\/S0140-6736(16)32401-1","journal-title":"Lancet"},{"key":"561_CR7","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1016\/j.euros.2021.03.004","volume":"27","author":"HC Kang","year":"2021","unstructured":"Kang HC, Jo N, Bamashmos AS et al (2021) Accuracy of prostate magnetic resonance imaging: reader experience matters. Eur Urol Open Sci 27:53\u201360. https:\/\/doi.org\/10.1016\/j.euros.2021.03.004","journal-title":"Eur Urol Open Sci"},{"key":"561_CR8","doi-asserted-by":"publisher","first-page":"503","DOI":"10.1007\/s10334-022-01006-6","volume":"35","author":"MC Fernandes","year":"2022","unstructured":"Fernandes MC, Yildirim O, Woo S (2022) The role of MRI in prostate cancer: current and future directions. MAGMA 35:503\u2013521. https:\/\/doi.org\/10.1007\/s10334-022-01006-6","journal-title":"MAGMA"},{"key":"561_CR9","doi-asserted-by":"publisher","first-page":"723","DOI":"10.2147\/rru.s323823","volume":"13","author":"A Artiles Medina","year":"2021","unstructured":"Artiles Medina A, Rodr\u00edguez-Patr\u00f3n Rodr\u00edguez R, Ruiz Hern\u00e1ndez M et al (2021) Identifying risk factors for MRI-invisible prostate cancer in patients undergoing transperineal saturation biopsy. Res Rep Urol 13:723\u2013731. https:\/\/doi.org\/10.2147\/rru.s323823","journal-title":"Res Rep Urol"},{"key":"561_CR10","doi-asserted-by":"publisher","first-page":"567","DOI":"10.1016\/j.eururo.2021.06.026","volume":"80","author":"AJ Vickers","year":"2021","unstructured":"Vickers AJ (2021) Effects of magnetic resonance imaging targeting on overdiagnosis and overtreatment of prostate cancer. Eur Urol 80:567\u2013572. https:\/\/doi.org\/10.1016\/j.eururo.2021.06.026","journal-title":"Eur Urol"},{"key":"561_CR11","doi-asserted-by":"publisher","first-page":"162","DOI":"10.1002\/pros.24449","volume":"83","author":"M Oderda","year":"2023","unstructured":"Oderda M, Albisinni S, Benamran D et al (2023) Accuracy of elastic fusion biopsy: comparing prostate cancer detection between targeted and systematic biopsy. Prostate 83:162\u2013168. https:\/\/doi.org\/10.1002\/pros.24449","journal-title":"Prostate"},{"key":"561_CR12","doi-asserted-by":"publisher","unstructured":"Chatterjee A, Gallan A, Fan X et al (2023) Prostate cancers invisible on multiparametric MRI: pathologic features in correlation with whole-mount prostatectomy. Cancers (Basel) 2023;15. https:\/\/doi.org\/10.3390\/cancers15245825","DOI":"10.3390\/cancers15245825"},{"key":"561_CR13","doi-asserted-by":"publisher","first-page":"428","DOI":"10.1016\/s1470-2045(22)00016-x","volume":"23","author":"ADR Grey","year":"2022","unstructured":"Grey ADR, Scott R, Shah B et al (2022) Multiparametric ultrasound versus multiparametric MRI to diagnose prostate cancer (CADMUS): a prospective, multicentre, paired-cohort, confirmatory study. Lancet Oncol 23:428\u2013438. https:\/\/doi.org\/10.1016\/s1470-2045(22)00016-x","journal-title":"Lancet Oncol"},{"key":"561_CR14","doi-asserted-by":"publisher","DOI":"10.1016\/j.cct.2021.106618","volume":"112","author":"L Klotz","year":"2022","unstructured":"Klotz L, Andriole G, Cash H et al (2022) Optimization of prostate biopsy-micro-ultrasound versus MRI (OPTIMUM): A 3-arm randomized controlled trial evaluating the role of 29MHz micro-ultrasound in guiding prostate biopsy in men with clinical suspicion of prostate cancer. Contemp Clin Trials 112:106618. https:\/\/doi.org\/10.1016\/j.cct.2021.106618","journal-title":"Contemp Clin Trials"},{"key":"561_CR15","doi-asserted-by":"publisher","first-page":"2444","DOI":"10.1016\/j.ultrasmedbio.2019.05.015","volume":"45","author":"M Butler","year":"2019","unstructured":"Butler M, Perperidis A, Zahra J-LM et al (2019) Differentiation of vascular characteristics using contrast-enhanced ultrasound imaging. Ultrasound Med Biol 45:2444\u20132455. https:\/\/doi.org\/10.1016\/j.ultrasmedbio.2019.05.015","journal-title":"Ultrasound Med Biol"},{"key":"561_CR16","doi-asserted-by":"publisher","first-page":"794","DOI":"10.1111\/j.1464-410X.2012.11444.x","volume":"110","author":"G Russo","year":"2012","unstructured":"Russo G, Mischi M, Scheepens W et al (2012) Angiogenesis in prostate cancer: onset, progression and imaging. BJU Int 110:794\u2013808. https:\/\/doi.org\/10.1111\/j.1464-410X.2012.11444.x","journal-title":"BJU Int"},{"key":"561_CR17","doi-asserted-by":"publisher","first-page":"2676","DOI":"10.3390\/ijms20112676","volume":"20","author":"Z Melegh","year":"2019","unstructured":"Melegh Z, Oltean S (2019) Targeting angiogenesis in prostate cancer. Int J Mol Sci 20:2676. https:\/\/doi.org\/10.3390\/ijms20112676","journal-title":"Int J Mol Sci"},{"key":"561_CR18","doi-asserted-by":"publisher","DOI":"10.1016\/j.pharmthera.2021.107932","volume":"228","author":"M Adamaki","year":"2021","unstructured":"Adamaki M, Zoumpourlis V (2021) Prostate cancer biomarkers: from diagnosis to prognosis and precision-guided therapeutics. Pharmacol Therapeut 228:107932. https:\/\/doi.org\/10.1016\/j.pharmthera.2021.107932","journal-title":"Pharmacol Therapeut"},{"key":"561_CR19","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-023-45158-4","volume":"13","author":"A B\u00f8rretzen","year":"2023","unstructured":"B\u00f8rretzen A, Reis\u00e6ter LAR, Ringheim A et al (2023) Microvascular proliferation is associated with high tumour blood flow by mpMRI and disease progression in primary prostate cancer. Sci Rep 13:17949. https:\/\/doi.org\/10.1038\/s41598-023-45158-4","journal-title":"Sci Rep"},{"key":"561_CR20","doi-asserted-by":"publisher","first-page":"2062","DOI":"10.4102\/sajr.v25i1.2062","volume":"25","author":"R Scott","year":"2021","unstructured":"Scott R, Misser SK, Cioni D, Neri E (2021) PI-RADS v2.1: what has changed and how to report. SA J Radiol 25:2062. https:\/\/doi.org\/10.4102\/sajr.v25i1.2062","journal-title":"SA J Radiol"},{"key":"561_CR21","doi-asserted-by":"publisher","unstructured":"Vaupel P, Kelleher DK (2013) Blood flow and oxygenation status of prostate cancers. In: Welch WJ, Palm F, Bruley DF, Harrison DK (eds). Oxygen transport to tissue XXXIV. Springer New York, New York, NY. pp. 299\u2212305. https:\/\/doi.org\/10.1007\/978-1-4614-4989-8_42","DOI":"10.1007\/978-1-4614-4989-8_42"},{"key":"561_CR22","doi-asserted-by":"publisher","first-page":"500","DOI":"10.1097\/rli.0000000000000565","volume":"54","author":"E Kanoulas","year":"2019","unstructured":"Kanoulas E, Butler M, Rowley C et al (2019) Super-resolution contrast-enhanced ultrasound methodology for the identification of in vivo vascular dynamics in 2D. Invest Radiol 54:500\u2013516. https:\/\/doi.org\/10.1097\/rli.0000000000000565","journal-title":"Invest Radiol"},{"key":"561_CR23","doi-asserted-by":"publisher","first-page":"1246","DOI":"10.1109\/tuffc.2019.2916603","volume":"66","author":"K Christensen-Jeffries","year":"2019","unstructured":"Christensen-Jeffries K, Brown J, Harput S et al (2019) Poisson statistical model of ultrasound super-resolution imaging acquisition time. IEEE Trans Ultrason Ferroelectr Freq Control 66:1246\u20131254. https:\/\/doi.org\/10.1109\/tuffc.2019.2916603","journal-title":"IEEE Trans Ultrason Ferroelectr Freq Control"},{"key":"561_CR24","doi-asserted-by":"publisher","first-page":"1478","DOI":"10.1109\/tuffc.2017.2731664","volume":"64","author":"K Christensen-Jeffries","year":"2017","unstructured":"Christensen-Jeffries K, Brown J, Aljabar P et al (2017) 3-D in vitro acoustic super-resolution and super-resolved velocity mapping using microbubbles. IEEE Trans Ultrason Ferroelectr Freq Control 64:1478\u20131486. https:\/\/doi.org\/10.1109\/tuffc.2017.2731664","journal-title":"IEEE Trans Ultrason Ferroelectr Freq Control"},{"key":"561_CR25","doi-asserted-by":"publisher","first-page":"642","DOI":"10.1148\/radiol.2019182593","volume":"291","author":"J Zhu","year":"2019","unstructured":"Zhu J, Rowland EM, Harput S et al (2019) 3D super-resolution US imaging of rabbit lymph node vasculature in vivo by using microbubbles. Radiology 291:642\u2013650. https:\/\/doi.org\/10.1148\/radiol.2019182593","journal-title":"Radiology"},{"key":"561_CR26","doi-asserted-by":"publisher","first-page":"865","DOI":"10.1016\/j.ultrasmedbio.2019.11.013","volume":"46","author":"K Christensen-Jeffries","year":"2020","unstructured":"Christensen-Jeffries K, Couture O, Dayton PA et al (2020) Super-resolution ultrasound imaging. Ultrasound Med Biol 46:865\u2013891. https:\/\/doi.org\/10.1016\/j.ultrasmedbio.2019.11.013","journal-title":"Ultrasound Med Biol"},{"key":"561_CR27","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1016\/j.ultrasmedbio.2010.10.013","volume":"37","author":"V Sboros","year":"2010","unstructured":"Sboros V, Averkiou M, Lampaskis M et al (2010) Imaging of the ovine corpus luteum microcirculation with contrast ultrasound. Ultrasound Med Biol 37:59\u201368. https:\/\/doi.org\/10.1016\/j.ultrasmedbio.2010.10.013","journal-title":"Ultrasound Med Biol"},{"key":"561_CR28","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-020-62898-9","volume":"10","author":"C Huang","year":"2020","unstructured":"Huang C, Lowerison MR, Trzasko JD et al (2020) Short acquisition time super-resolution ultrasound microvessel imaging via microbubble separation. Sci Rep 10:6007. https:\/\/doi.org\/10.1038\/s41598-020-62898-9","journal-title":"Sci Rep"},{"key":"561_CR29","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1109\/TUFFC.2017.2778941","volume":"65","author":"P Song","year":"2018","unstructured":"Song P, Trzasko JD, Manduca A et al (2018) Improved super-resolution ultrasound microvessel imaging with spatiotemporal nonlocal means filtering and bipartite graph-based microbubble tracking. IEEE Trans Ultrason Ferroelectric Freq Control 65:149\u2013167. https:\/\/doi.org\/10.1109\/TUFFC.2017.2778941","journal-title":"IEEE Trans Ultrason Ferroelectric Freq Control"},{"key":"561_CR30","doi-asserted-by":"publisher","first-page":"544","DOI":"10.1016\/j.eururo.2013.03.030","volume":"64","author":"CM Moore","year":"2013","unstructured":"Moore CM, Kasivisvanathan V, Eggener S et al (2013) Standards of reporting for MRI-targeted biopsy studies (START) of the prostate: recommendations from an International Working Group. Eur Urol 64:544\u2013552. https:\/\/doi.org\/10.1016\/j.eururo.2013.03.030","journal-title":"Eur Urol"},{"key":"561_CR31","unstructured":"Bracco (2023) SonoVue Summary of Product Characteristics, Bracco International B.V., The Netherlands, https:\/\/www.ema.europa.eu\/en\/medicines\/human\/EPAR\/sonovue"},{"key":"561_CR32","doi-asserted-by":"publisher","first-page":"481","DOI":"10.1111\/bju.15093","volume":"126","author":"CK Mannaerts","year":"2020","unstructured":"Mannaerts CK, Engelbrecht MRW, Postema AW et al (2020) Detection of clinically significant prostate cancer in biopsy-na\u00efve men: direct comparison of systematic biopsy, multiparametric MRI- and contrast-ultrasound-dispersion imaging-targeted biopsy. BJU Int 126:481\u2013493. https:\/\/doi.org\/10.1111\/bju.15093","journal-title":"BJU Int"},{"key":"561_CR33","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1111\/1754-9485.13029","volume":"64","author":"WC Tsai","year":"2020","unstructured":"Tsai WC, Field L, Stewart S, Schultz M (2020) Review of the accuracy of multi-parametric MRI prostate in detecting prostate cancer within a local reporting service. J Med Imaging Radiat Oncol 64:379\u2013384. https:\/\/doi.org\/10.1111\/1754-9485.13029","journal-title":"J Med Imaging Radiat Oncol"},{"key":"561_CR34","doi-asserted-by":"publisher","first-page":"344","DOI":"10.1055\/s-0032-1313026","volume":"33","author":"CF Dietrich","year":"2012","unstructured":"Dietrich CF, Averkiou MA, Correas JM et al (2012) An EFSUMB introduction into dynamic contrast-enhanced ultrasound (DCE-US) for quantification of tumour perfusion. Ultraschall Med 33:344\u2013351. https:\/\/doi.org\/10.1055\/s-0032-1313026","journal-title":"Ultraschall Med"},{"key":"561_CR35","doi-asserted-by":"publisher","first-page":"2852","DOI":"10.1016\/j.ultrasmedbio.2016.08.001","volume":"42","author":"T Saidov","year":"2016","unstructured":"Saidov T, Heneweer C, Kuenen M et al (2016) Fractal dimension of tumor microvasculature by DCE-US: Preliminary study in mice. Ultrasound Med Biol 42:2852\u20132863. https:\/\/doi.org\/10.1016\/j.ultrasmedbio.2016.08.001","journal-title":"Ultrasound Med Biol"},{"key":"561_CR36","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1055\/a-2157-2587","volume":"45","author":"CF Dietrich","year":"2024","unstructured":"Dietrich CF, Correas JM, Cui XW et al (2024) EFSUMB Technical Review\u2014Update 2023: Dynamic contrast-enhanced ultrasound (DCE-CEUS) for the quantification of tumor perfusion. Ultraschall Med 45:36\u201346. https:\/\/doi.org\/10.1055\/a-2157-2587","journal-title":"Ultraschall Med"},{"key":"561_CR37","doi-asserted-by":"publisher","first-page":"1631","DOI":"10.1016\/j.ultrasmedbio.2013.03.004","volume":"39","author":"MPJ Kuenen","year":"2013","unstructured":"Kuenen MPJ, Saidov TA, Wijkstra H, Mischi M (2013) Contrast-ultrasound dispersion imaging for prostate cancer localization by improved spatiotemporal similarity analysis. Ultrasound Med Biol 39:1631\u20131641. https:\/\/doi.org\/10.1016\/j.ultrasmedbio.2013.03.004","journal-title":"Ultrasound Med Biol"},{"key":"561_CR38","doi-asserted-by":"publisher","first-page":"621","DOI":"10.1109\/TUFFC.2012.2241","volume":"59","author":"M Mischi","year":"2012","unstructured":"Mischi M, Kuenen MPJ, Wijkstra H (2012) Angiogenesis imaging by spatiotemporal analysis of ultrasound contrast agent dispersion kinetics. IEEE Trans Ultrason Ferroelectric Freq Control 59:621\u2013629. https:\/\/doi.org\/10.1109\/TUFFC.2012.2241","journal-title":"IEEE Trans Ultrason Ferroelectric Freq Control"},{"key":"561_CR39","doi-asserted-by":"publisher","first-page":"926","DOI":"10.1002\/ijc.34743","volume":"154","author":"TK Lehto","year":"2024","unstructured":"Lehto TK, Pylv\u00e4l\u00e4inen J, Sandeman K (2024) Histomic and transcriptomic features of MRI-visible and invisible clinically significant prostate cancers are associated with prognosis. Int J Cancer 154:926\u2013939. https:\/\/doi.org\/10.1002\/ijc.34743","journal-title":"Int J Cancer"}],"container-title":["European Radiology Experimental"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s41747-025-00561-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s41747-025-00561-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s41747-025-00561-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,20]],"date-time":"2025-02-20T02:24:48Z","timestamp":1740018288000},"score":1,"resource":{"primary":{"URL":"https:\/\/eurradiolexp.springeropen.com\/articles\/10.1186\/s41747-025-00561-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,2,20]]},"references-count":39,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["561"],"URL":"https:\/\/doi.org\/10.1186\/s41747-025-00561-6","relation":{},"ISSN":["2509-9280"],"issn-type":[{"value":"2509-9280","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,2,20]]},"assertion":[{"value":"12 November 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 January 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 February 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Pre-clinical animal work was conducted under the United Kingdom office licence Duncan PPL 60\/4401 and clinical data under IRB approval METC AMC 2015_263, Clinicaltrials.gov NCT02831920.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"No identifiable data is presented.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare that they have no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"25"}}