Suchergebnisse - "Dynamic contrast-enhanced ultrasound"

Contrast-ultrasound dispersion imaging for renal cell carcinoma diagnostics

Autoren: Peiran Chen Simona Turco Zhaohan Liu et al.

Quelle: The Ultrasound Journal, Vol 17, Iss 1, Pp 1-8 (2025)

Schlagwörter: Urology, Renal cell carcinoma diagnostics, Angiogenesis, Dynamic contrast-enhanced ultrasound, Contrast-ultrasound dispersion imaging, Medical physics. Medical radiology. Nuclear medicine, R895-920

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2524-8987

Zugangs-URL: https://doaj.org/article/c1e3549c5f6f4918a56eaf0186c1d2a5

Can 3D Multiparametric Ultrasound Imaging Predict Prostate Biopsy Outcome?

Autoren: Chen, Peiran Turco, Simona Wang, Yao et al.

Quelle: Ultrasound in Medicine & Biology. 50:1194-1202

Schlagwörter: Male, Computer-assisted diagnosis, Biopsy, Elasticity Imaging Techniques/methods, SDG 3 – Goede gezondheid en welzijn, Imaging, 03 medical and health sciences, Imaging, Three-Dimensional, 0302 clinical medicine, SDG 3 - Good Health and Well-being, Predictive Value of Tests, Three-Dimensional/methods, Dynamic contrast-enhanced ultrasound, Humans, Ultrasound shear-wave elastography, Aged, Ultrasonography, Prostate cancer, Prostate, Prostatic Neoplasms, Prostate/diagnostic imaging, Ultrasonography/methods, Middle Aged, 3. Good health, Multiparametric ultrasound, Prostatic Neoplasms/diagnostic imaging, Elasticity Imaging Techniques

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/38734528
https://research.tue.nl/en/publications/fe93e99b-57ee-4223-9370-51ffbf8e0139
https://doi.org/10.1016/j.ultrasmedbio.2024.04.007

Ultrasound Contrast Agents: Microvascular Characterization

Autoren: Turco, Simona Chen, Peiran Lyshchik, Andrej et al.

Schlagwörter: microvascular perfusion, ultrasound contrast agents, contrast-specific imaging, acoustic response, dynamic contrast-enhanced ultrasound, spatio-temporal analysis

Zugangs-URL: https://research.tue.nl/en/publications/dd4e67a4-c158-4ce5-8a88-374c1847f32b

Subtype prediction of intrahepatic cholangiocarcinoma using dynamic contrast-enhanced ultrasound

Autoren: Ming-Rui Zhu Chong-Ke Zhao Yi-Kang Sun et al.

Quelle: Insights into Imaging, Vol 15, Iss 1, Pp 1-13 (2024)

Schlagwörter: Intrahepatic cholangiocarcinoma, Dynamic contrast-enhanced ultrasound, Subtype, Predictive model, Medical physics. Medical radiology. Nuclear medicine, R895-920

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/1869-4101

Zugangs-URL: https://doaj.org/article/c4b231df027f42339bce1e912e39bf87

New calibration setup for quantitative DCE‐US imaging protocol: Toward standardization

Autoren: Hoferer, Isaline Jourdain, Laurene Girot, Charly et al.

Weitere Verfasser: Hoferer, Isaline Jourdain, Laurene Girot, Charly et al.

Quelle: Medical Physics. 50:5541-5552

Schlagwörter: [PHYS.PHYS.PHYS-MED-PH] Physics [physics]/Physics [physics]/Medical Physics [physics.med-ph], Ultrasound contrast agent, Contrast Media, Reproducibility of Results, phantom, Reference Standards, 3. Good health, [SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging, Calibration, Humans, Multicenter Studies as Topic, Methodologies of ultrasound calibration, [PHYS.MECA.ACOU] Physics [physics]/Mechanics [physics]/Acoustics [physics.class-ph], Dynamic contrast-enhanced ultrasound (DCE-US), Ultrasonography

Dateibeschreibung: application/pdf

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/36939058
https://hal.science/hal-04261753v1/document
https://hal.science/hal-04261753v1
https://doi.org/10.1002/mp.16362

Machine learning model based on dynamic contrast-enhanced ultrasound assisting LI-RADS diagnosis of HCC: A multicenter diagnostic study

Autoren: Meiqin Xiao Yishu Deng Wei Zheng et al.

Quelle: Heliyon, Vol 10, Iss 20, Pp e38850- (2024)

Schlagwörter: Ultrasonography, Hepatocellular carcinoma, Image enhancement, Dynamic contrast-enhanced ultrasound, Liver imaging reporting and data system, Machine learning, Science (General), Q1-390, Social sciences (General), H1-99

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2405844024148815; https://doaj.org/toc/2405-8440

Zugangs-URL: https://doaj.org/article/445494694e224247940453cf076adead

Dynamic Contrast-Enhanced Ultrasound Modeling of an Analog to Pseudo-Diffusivity in Intravoxel Incoherent Motion Magnetic Resonance Imaging

Autoren: Dimitre Hristov Lauri Mustonen Rie von Eyben et al.

Quelle: IEEE Transactions on Medical Imaging. 41:3824-3834

Schlagwörter: Ultrasonic imaging, treatment response, Contrast Media, diffusivity, 02 engineering and technology, Magnetic Resonance Imaging, dynamic contrast-enhanced ultrasound, Imaging, Mice, Motion, 03 medical and health sciences, Magnetic resonance imaging, Diffusion Magnetic Resonance Imaging, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, convection-diffusion equation, cancer therapy, Three-dimensional displays, Animals, Medical treatment, Tumors, Ultrasonography

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/35939460

Dynamic Contrast-Enhanced Ultrasound in the Prediction of Advanced Hepatocellular Carcinoma Response to Systemic and Locoregional Therapies

Autoren: Lucia Cerrito Maria Elena Ainora Giuseppe Cuccia et al.

Quelle: Cancers, Vol 16, Iss 3, p 551 (2024)

Schlagwörter: hepatocellular carcinoma, systemic therapy, dynamic contrast-enhanced ultrasound, time–intensity curves, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282

Relation: https://www.mdpi.com/2072-6694/16/3/551; https://doaj.org/toc/2072-6694; https://doaj.org/article/b127ead199794a8683f23749dd5ebc62

Verfügbarkeit: https://doi.org/10.3390/cancers16030551
https://doaj.org/article/b127ead199794a8683f23749dd5ebc62

Application of Dynamic Contrast-Enhanced Ultrasound in Evaluation the Activity of Crohn’s Disease

Autoren: Ying Wang Li Wei Wen-Song Ge et al.

Quelle: Diagnostics, Vol 14, Iss 7, p 672 (2024)

Schlagwörter: dynamic contrast-enhanced ultrasound (DCE-US), Crohn’s disease, activity, time–intensity curves (TICs), quantitative parameters, Medicine (General), R5-920

Relation: https://www.mdpi.com/2075-4418/14/7/672; https://doaj.org/toc/2075-4418; https://doaj.org/article/318c136020ff4fbdbd48831798758846

Verfügbarkeit: https://doi.org/10.3390/diagnostics14070672
https://doaj.org/article/318c136020ff4fbdbd48831798758846

Assessment of sorafenib induced changes in tumor perfusion of uveal melanoma metastases with dynamic contrast-enhanced ultrasound (DCE-US)

Autoren: Dane Wildner Lucie Heinzerling Max E. Scheulen et al.

Quelle: J Cancer Res Clin Oncol

Schlagwörter: Uveal Neoplasms, Original Article – Clinical Oncology, Medizin, Contrast Media, Sorafenib, 3. Good health, Perfusion, 03 medical and health sciences, 0302 clinical medicine, Uveal Melanoma, Humans, ddc:610, Prospective Studies, Ultrasonography [MeSH], Humans [MeSH], Sorafenib [MeSH], Prospective Studies [MeSH], Uveal Neoplasms/drug therapy [MeSH], CEUS, Functional imaging, Uveal Neoplasms/diagnostic imaging [MeSH], Contrast Media [MeSH], Melanoma [MeSH], Dynamic contrast-enhanced ultrasound (DCEUS), Perfusion [MeSH], Response prediction, Uveal melanoma, Melanoma, Ultrasonography

Dateibeschreibung: application/pdf

Zugangs-URL: https://link.springer.com/content/pdf/10.1007/s00432-021-03666-8.pdf
https://pubmed.ncbi.nlm.nih.gov/34050396
https://link.springer.com/article/10.1007/s00432-021-03666-8
https://www.ncbi.nlm.nih.gov/pubmed/34050396
https://link.springer.com/content/pdf/10.1007/s00432-021-03666-8.pdf
https://pubmed.ncbi.nlm.nih.gov/34050396/
https://europepmc.org/article/MED/34050396
https://opus4.kobv.de/opus4-fau/frontdoor/index/index/docId/22123
https://repository.publisso.de/resource/frl:6449870
https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=85106746919
https://www.ncbi.nlm.nih.gov/pubmed/34050396
https://doi.org/10.1007/s00432-021-03666-8

Machine Learning for Multiparametric Ultrasound Classification of Prostate Cancer using B-mode, Shear-Wave Elastography, and Contrast-Enhanced Ultrasound Radiomics

Autoren: Wildeboer, R. R. Mannaerts, Christophe K. van Sloun, R. J. G. et al.

Quelle: 2019 IEEE International Ultrasonics Symposium (IUS). :1902-1905

Schlagwörter: Machine Learning, 03 medical and health sciences, Multipara-metric Ultrasound, Shear-Wave Elastography, 0302 clinical medicine, SDG 3 - Good Health and Well-being, Prostate Cancer, Dynamic Contrast-Enhanced Ultrasound, SDG 3 – Goede gezondheid en welzijn, 3. Good health

Zugangs-URL: https://research.tue.nl/en/publications/95d207f7-2258-455b-a84a-2a63ea219806
https://doi.org/10.1109/ULTSYM.2019.8925823
https://www.narcis.nl/publication/RecordID/oai%3Apure.tue.nl%3Apublications%2F95d207f7-2258-455b-a84a-2a63ea219806
https://research.tue.nl/en/publications/machine-learning-for-multiparametric-ultrasound-classification-of

In-vitro investigation of the relationship between microvascular structure and ultrasound contrast agent dynamics

Autoren: Chen, Peiran Turco, Simona van Sloun, Ruud J. G. et al.

Quelle: 2019 IEEE International Ultrasonics Symposium (IUS). :403-406

Schlagwörter: Media, porous media phantoms, Ultrasonic imaging, Dispersion, prostate cancer, SDG 3 – Goede gezondheid en welzijn, 01 natural sciences, Phantoms, dynamic contrast-enhanced ultrasound, 3. Good health, 03 medical and health sciences, 0302 clinical medicine, SDG 3 - Good Health and Well-being, 0103 physical sciences, flow dynamics, tumor-driven angiogenic microvasculature, Cancer, Tumors

Zugangs-URL: https://www.narcis.nl/publication/RecordID/oai%3Apure.tue.nl%3Apublications%2F82e8fed0-c1d8-47f5-8627-da7324cb1d8b
https://research.tue.nl/nl/publications/in-vitro-investigation-of-the-relationship-between-microvascular-
https://researchinformation.amsterdamumc.org/en/publications/in-vitro-investigation-of-the-relationship-between-microvascular-

Quantitative dynamic contrast-enhanced ultrasound to predict intrahepatic recurrence of hepatocellular carcinoma after radiofrequency ablation: a cohort study

Autoren: Xue Han Jing Dong Zhao Liu et al.

Quelle: International Journal of Hyperthermia, Vol 37, Iss 1, Pp 1066-1073 (2020)

Schlagwörter: 0301 basic medicine, Radiofrequency Ablation, Carcinoma, Hepatocellular, intrahepatic recurrence, Liver Neoplasms, quantitative dynamic contrast-enhanced ultrasound, Contrast Media, hepatocellular carcinoma, 3. Good health, Cohort Studies, 03 medical and health sciences, Treatment Outcome, 0302 clinical medicine, tumor perfusion, Medical technology, Catheter Ablation, Humans, radiofrequency ablation, R855-855.5, Neoplasm Recurrence, Local, Retrospective Studies, Ultrasonography

Zugangs-URL: https://www.tandfonline.com/doi/pdf/10.1080/02656736.2020.1817576?needAccess=true
https://pubmed.ncbi.nlm.nih.gov/32924654
https://doaj.org/article/c70ed758ccf84a1daa3c8ba8a69194c9
https://europepmc.org/article/MED/32924654
https://www.ncbi.nlm.nih.gov/pubmed/32924654
https://www.tandfonline.com/doi/full/10.1080/02656736.2020.1817576

Multiparametric Dynamic Ultrasound Approach for Differential Diagnosis of Primary Liver Tumors

Autoren: Maria Elena Ainora Lucia Cerrito Antonio Liguori et al.

Quelle: International Journal of Molecular Sciences, Vol 24, Iss 10, p 8548 (2023)

Schlagwörter: multiparametric ultrasound, dynamic contrast enhanced ultrasound, HCC, ICC, elastography, Biology (General), QH301-705.5, Chemistry, QD1-999

Relation: https://www.mdpi.com/1422-0067/24/10/8548; https://doaj.org/toc/1661-6596; https://doaj.org/toc/1422-0067; https://doaj.org/article/65783148e564407c8042fd7ae68b2077

Verfügbarkeit: https://doi.org/10.3390/ijms24108548
https://doaj.org/article/65783148e564407c8042fd7ae68b2077

Prediction of Pathological Grades of Pancreatic Neuroendocrine Tumors Based on Dynamic Contrast-Enhanced Ultrasound Quantitative Analysis

Autoren: Dao-Hui Yang Juan Cheng Xiao-Fan Tian et al.

Quelle: Diagnostics, Vol 13, Iss 238, p 238 (2023)

Schlagwörter: dynamic contrast-enhanced ultrasound (DCE-US), quantitative parameters, pancreatic neuroendocrine tumors (pNETs), tumor histopathological grades, prediction, Medicine (General), R5-920

Relation: https://www.mdpi.com/2075-4418/13/2/238; https://doaj.org/toc/2075-4418; https://doaj.org/article/1ee4fce6eab641bab7e58c21264ce386

Verfügbarkeit: https://doi.org/10.3390/diagnostics13020238
https://doaj.org/article/1ee4fce6eab641bab7e58c21264ce386

Convective-Dispersion Modeling in 3D Contrast-Ultrasound Imaging for the Localization of Prostate Cancer

Autoren: R. R. Wildeboer R. J. G. Van Sloun S. G. Schalk et al.

Quelle: IEEE Transactions on Medical Imaging. 37:2593-2602

Schlagwörter: Male, Video Recording, Contrast Media, Convection, SDG 3 – Goede gezondheid en welzijn, Imaging, 03 medical and health sciences, Imaging, Three-Dimensional, 0302 clinical medicine, SDG 3 - Good Health and Well-being, Three-Dimensional/methods, Humans, Computer Simulation, convection, Ultrasonography, Prostate cancer, Prostate Cancer, Prostatic Neoplasms, Ultrasonography/methods, Dispersion, Dynamic Contrast-Enhanced Ultrasound, dynamic contrast-enhanced ultrasound, 3. Good health, 13. Climate action, Prostatic Neoplasms/diagnostic imaging, dispersion, 3D

Zugangs-URL: https://pure.tue.nl/ws/files/116462033/08371214.pdf
https://pubmed.ncbi.nlm.nih.gov/29993539
https://research.tue.nl/en/publications/676c7c9f-d868-4a24-8fec-e457cc571fbf
https://doi.org/10.1109/TMI.2018.2843396
https://research.tue.nl/en/publications/convective-dispersion-modeling-in-3d-contrast-ultrasound-imaging-
https://europepmc.org/article/MED/29993539
https://ieeexplore.ieee.org/document/8371214/
https://dblp.uni-trier.de/db/journals/tmi/tmi37.html#WildeboerSSMLHW18
https://pure.tue.nl/ws/files/116462033/08371214.pdf
https://www.narcis.nl/publication/RecordID/oai%3Apure.amc.nl%3Apublications%2F2eef39d3-1b36-4b46-b1f2-44469ad066c3

Probabilistic 3D Contrast-Ultrasound Tractography Based on a a Convective-Dispersion Finite-Element Scheme

Autoren: Wildeboer, R. R. van Sloun, R. J. G. Mannaerts, C. K. et al.

Quelle: 2018 IEEE International Ultrasonics Symposium (IUS). :1-9

Schlagwörter: Crank-Nicolson scheme, Prostate Cancer, 02 engineering and technology, Dispersion, Dynamic Contrast-Enhanced Ultrasound, Convection, SDG 3 – Goede gezondheid en welzijn, Imaging, Kernel, 03 medical and health sciences, Mathematical model, 0302 clinical medicine, SDG 3 - Good Health and Well-being, Solid modeling, 0202 electrical engineering, electronic engineering, information engineering, Three-dimensional displays, Finite-Element Modelling, Tractography, Visualization, 3D

Zugangs-URL: https://research.tue.nl/en/publications/694e4cf3-920b-43f8-93e0-54574668bceb
https://doi.org/10.1109/ULTSYM.2018.8579730
https://research.tue.nl/nl/publications/probabilistic-3d-contrast-ultrasound-tractography-based-on-a-a-co
https://www.narcis.nl/publication/RecordID/oai%3Apure.tue.nl%3Apublications%2F694e4cf3-920b-43f8-93e0-54574668bceb
https://pure.amsterdamumc.nl/en/publications/665ff12d-c5b4-4f03-baeb-4c1ecaaafc8c
https://doi.org/10.1109/ULTSYM.2018.8579730

Machine Learning for the Prediction of Prostate Cancer Biopsy Based on 3D Dynamic Contrast-Enhanced Ultrasound Quantification

Autoren: Wildeboer, R. R. van Sloun, R. J. G. Huang, P. et al.

Quelle: 2018 IEEE International Ultrasonics Symposium (IUS). :1-9

Schlagwörter: Prostate cancer, Biopsy, Prostate Cancer, Principal component analysis, Dispersion, Dynamic Contrast-Enhanced Ultrasound, SDG 3 – Goede gezondheid en welzijn, 3. Good health, Machine Learning, CUDI, 03 medical and health sciences, 0302 clinical medicine, SDG 3 - Good Health and Well-being, Machine learning, Three-dimensional displays, Systematic Biopsy, 3D

Zugangs-URL: https://www.narcis.nl/publication/RecordID/oai%3Apure.amc.nl%3Apublications%2Feb30e088-d3a2-42d7-b4c4-4d834c240f35
https://researchinformation.amsterdamumc.org/en/publications/machine-learning-for-the-prediction-of-prostate-cancer-biopsy-bas
https://research.tue.nl/en/publications/machine-learning-for-the-prediction-of-prostate-cancer-biopsy-bas
https://pure.amsterdamumc.nl/en/publications/26772305-e7a2-4835-8f85-73c18b6bfaa8
https://doi.org/10.1109/ULTSYM.2018.8579745

3-D Multi-parametric Contrast-Enhanced Ultrasound for the Prediction of Prostate Cancer

Autoren: Wildeboer, Rogier R. van Sloun, Ruud J. G. Huang, Pintong et al.

Quelle: Ultrasound in Medicine & Biology. 45:2713-2724

Schlagwörter: Male, Prostate cancer, Systematic biopsy, 3-D, Prostate, Contrast Media, Prostatic Neoplasms, Reproducibility of Results, Contrast ultrasound dispersion imaging, SDG 3 – Goede gezondheid en welzijn, Image Enhancement, 3. Good health, 03 medical and health sciences, Imaging, Three-Dimensional, 0302 clinical medicine, SDG 3 - Good Health and Well-being, Predictive Value of Tests, Machine learning, Dynamic contrast-enhanced ultrasound, Humans, Ultrasonography

Zugangs-URL: https://pure.tue.nl/ws/files/134400600/3_D_Multi_parametric_Contrast_Enhanced_Ultrasound_for_the_Prediction_of_Prostate_Cance.pdf
https://pubmed.ncbi.nlm.nih.gov/31300222
https://research.tue.nl/en/publications/3-d-multi-parametric-contrast-enhanced-ultrasound-for-the-predict
https://www.ncbi.nlm.nih.gov/pubmed/31300222
https://www.narcis.nl/publication/RecordID/oai%3Apure.amc.nl%3Apublications%2F0b8f5527-bc35-49e9-acd5-d78a63ea75bd
https://www.sciencedirect.com/science/article/abs/pii/S030156291930225X
https://pubmed.ncbi.nlm.nih.gov/31300222/

On the Relationship between Dynamic Contrast-Enhanced Ultrasound Parameters and the Underlying Vascular Architecture Extracted from Acoustic Angiography

Autoren: Panfilova A. Shelton S. E. Caresio C. et al.

Quelle: Ultrasound in Medicine & Biology. 45:539-548

Schlagwörter: Fibrosarcoma, Contrast Media, Angiography/methods, SDG 3 – Goede gezondheid en welzijn, 01 natural sciences, Imaging, 03 medical and health sciences, Imaging, Three-Dimensional, 0302 clinical medicine, SDG 3 - Good Health and Well-being, Three-Dimensional/methods, 0103 physical sciences, Dynamic contrast-enhanced ultrasound, Fibrosarcoma/blood supply, Animals, Acoustic angiography, Cancer, Ultrasonography, Inbred F344, Dispersion, Perfusion, Ultrasound contrast agents, Acoustics, Angiography, Disease Models, Animal, Image Enhancement, Rats, Rats, Inbred F344, Animal, Ultrasonography/methods, 3. Good health, Disease Models, Image Enhancement/methods

Dateibeschreibung: application/pdf

Zugangs-URL: https://pure.tue.nl/ws/files/115703366/1_s2.0_S0301562918303685_main.pdf
https://pubmed.ncbi.nlm.nih.gov/30509785
https://www.narcis.nl/publication/RecordID/oai%3Apure.amc.nl%3Apublications%2F999d3709-4ac2-4fa6-a11d-84cc35227107
https://research.tue.nl/nl/publications/on-the-relationship-between-dynamic-contrast-enhanced-ultrasound-
https://europepmc.org/abstract/MED/30509785
https://www.ncbi.nlm.nih.gov/pubmed/30509785
https://www.sciencedirect.com/science/article/pii/S0301562918303685
https://www.sciencedirect.com/science/article/pii/S0301562918303685?via=ihub
https://hdl.handle.net/11583/2954677
https://doi.org/10.1016/j.ultrasmedbio.2018.08.018