Zeitschriftenartikel zum Thema „Multiparametric Magnetic Resonance Imaging (mp-MRI)“
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Kapur, Savinay, Chandan J. Das und Sanjay Sharma. „Multiparametric Magnetic Resonance Imaging of the Prostate: An Update“. Annals of the National Academy of Medical Sciences (India) 55, Nr. 02 (April 2019): 074–83. http://dx.doi.org/10.1055/s-0039-1694077.
Der volle Inhalt der QuelleYadav, Kuldeep, Binit Sureka, Poonam Elhence, Gautam Ram Choudhary und Himanshu Pandey. „Pitfalls in Prostate Cancer Magnetic Resonance Imaging“. Indian Journal of Medical and Paediatric Oncology 42, Nr. 01 (März 2021): 080–88. http://dx.doi.org/10.1055/s-0041-1730757.
Der volle Inhalt der QuelleSankineni, Sandeep, Murat Osman und Peter L. Choyke. „Functional MRI in Prostate Cancer Detection“. BioMed Research International 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/590638.
Der volle Inhalt der QuellePopita, Cristian, Anca Raluca Popita, Adela Sitar-Taut, Bogdan Petrut, Bogdan Fetica und Ioan Coman. „1.5-Tesla Multiparametric-Magnetic Resonance Imaging for the detection of clinically significant prostate cancer“. Medicine and Pharmacy Reports 90, Nr. 1 (30.01.2017): 40–48. http://dx.doi.org/10.15386/cjmed-690.
Der volle Inhalt der QuelleSardari, Al, John V. Thomas, Jeffrey W. Nix, Jason A. Pietryga, Rupan Sanyal, Jennifer B. Gordetsky und Soroush Rais-Bahrami. „Incidental Bladder Cancer Detected on Multiparametric Magnetic Resonance Imaging of the Prostate Gland“. Case Reports in Urology 2015 (2015): 1–4. http://dx.doi.org/10.1155/2015/503154.
Der volle Inhalt der QuelleUllrich, T., C. Arsov, M. Quentin, F. Mones, A. C. Westphalen, D. Mally, A. Hiester, P. Albers, G. Antoch und L. Schimmöller. „Multiparametric magnetic resonance imaging can exclude prostate cancer progression in patients on active surveillance: a retrospective cohort study“. European Radiology 30, Nr. 11 (26.06.2020): 6042–51. http://dx.doi.org/10.1007/s00330-020-06997-1.
Der volle Inhalt der QuelleObino, Mariah Kerubo, Edward Ng’ang’a Chege, Sudhir Vinayak und Samuel Gitau Nguk. „Utility of Multiparametric Magnetic Resonance Imaging as a Predictor of Clinically Significant Prostate Cancer in a Sub-Saharan African Population“. Annals of African Surgery 19, Nr. 2 (30.05.2022): 108–15. http://dx.doi.org/10.4314/aas.v19i2.8.
Der volle Inhalt der QuelleDoykov, Mladen, Lyubomir Chervenkov, Silvia Tsvetkova-Trichkova, Katya Doykova und Aleksandar Georgiev. „Assessment of the Utility of Multiparametric Magnetic Resonance Imaging for Initial Detection of Prostate Cancer“. Open Access Macedonian Journal of Medical Sciences 10, B (10.07.2022): 1840–45. http://dx.doi.org/10.3889/oamjms.2022.10401.
Der volle Inhalt der QuelleKowa, Jie-Ying, Neil Soneji, S. Aslam Sohaib, Erik Mayer, Stephen Hazell, Nicholas Butterfield, Joshua Shur und Derfel ap Dafydd. „Detection and staging of radio-recurrent prostate cancer using multiparametric MRI“. British Journal of Radiology 94, Nr. 1120 (01.04.2021): 20201423. http://dx.doi.org/10.1259/bjr.20201423.
Der volle Inhalt der QuelleFaccioli, Niccolò, Elena Santi, Giovanni Foti, Pierpaolo Curti und Mirko D'Onofrio. „Cost-effectiveness analysis of short biparametric magnetic resonance imaging protocol in men at risk of prostate cancer“. Archivio Italiano di Urologia e Andrologia 94, Nr. 2 (29.06.2022): 160–65. http://dx.doi.org/10.4081/aiua.2022.2.160.
Der volle Inhalt der QuelleAlanezi, Saleh T., Frank Sullivan, Christoph Kleefeld, John F. Greally, Marcin J. Kraśny, Peter Woulfe, Declan Sheppard und Niall Colgan. „Quantifying Tumor Heterogeneity from Multiparametric Magnetic Resonance Imaging of Prostate Using Texture Analysis“. Cancers 14, Nr. 7 (23.03.2022): 1631. http://dx.doi.org/10.3390/cancers14071631.
Der volle Inhalt der QuelleSavchenkov, Yu N., G. E. Trufanov, V. A. Fokin, A. Yu Efimtsev, S. E. Arakelov, I. Yu Titova und A. R. Meltonyan. „Magnetic resonance imaging technique to quantify biomarkers for chronic liver diseases“. Bulletin of the Medical Institute "REAVIZ" (REHABILITATION, DOCTOR AND HEALTH) 14, Nr. 1 (18.01.2024): 159–67. http://dx.doi.org/10.20340/vmi-rvz.2024.1.mim.2.
Der volle Inhalt der QuelleSoni, Mukesh, Ihtiram Raza Khan, K. Suresh Babu, Syed Nasrullah, Abhishek Madduri und Saima Ahmed Rahin. „Light Weighted Healthcare CNN Model to Detect Prostate Cancer on Multiparametric MRI“. Computational Intelligence and Neuroscience 2022 (28.05.2022): 1–11. http://dx.doi.org/10.1155/2022/5497120.
Der volle Inhalt der QuelleDuenweg, Savannah R., Xi Fang, Samuel A. Bobholz, Allison K. Lowman, Michael Brehler, Fitzgerald Kyereme, Kenneth A. Iczkowski, Kenneth M. Jacobsohn, Anjishnu Banerjee und Peter S. LaViolette. „Diffusion Restriction Comparison between Gleason 4 Fused Glands and Cribriform Glands within Patient Using Whole-Mount Prostate Pathology as Ground Truth“. Tomography 8, Nr. 2 (02.03.2022): 635–43. http://dx.doi.org/10.3390/tomography8020053.
Der volle Inhalt der QuelleSingla, Amit, Nerbadyswari Deep, Suprava Naik, Sudipta Mohakud, Prasant Nayak und Mukund Sable. „Correlation of multiparametric MRI with histopathological grade of peripheral zone prostate carcinoma“. Journal of Cancer Research and Therapeutics 19, Suppl 2 (2023): S569—S576. http://dx.doi.org/10.4103/jcrt.jcrt_280_22.
Der volle Inhalt der QuellePopat, Palak B., Sharad Maheshwari, Nilesh P. Sable, Meenakshi Thakur und Aparna Katdare. „Multiparametric MRI Approach to Prostate Cancer with a Pictorial Essay on PI-RADS“. Journal of Gastrointestinal and Abdominal Radiology 02, Nr. 01 (Juni 2019): 004–17. http://dx.doi.org/10.1055/s-0039-1683454.
Der volle Inhalt der QuelleHarvey, Hugh, und Nandita M. deSouza. „The role of imaging in the diagnosis of primary prostate cancer“. Journal of Clinical Urology 9, Nr. 2_suppl (Dezember 2016): 11–17. http://dx.doi.org/10.1177/2051415816656120.
Der volle Inhalt der QuelleLopes Dias, João, João Magalhães Pina, Raquel João, Joana Fialho, Sandra Carmo, Cecília Leal, Tiago Bilhim, Rui Mateus Marques und Luís Campos Pinheiro. „Prostate Cancer: The Role of Multiparametric Magnetic Resonance Imaging“. Acta Médica Portuguesa 28, Nr. 2 (30.04.2015): 240. http://dx.doi.org/10.20344/amp.5370.
Der volle Inhalt der QuellePlatzek, Ivan, Hagen H. Kitzler, Volker Gudziol, Michael Laniado und Gabriele Hahn. „Magnetic resonance imaging in acute mastoiditis“. Acta Radiologica Short Reports 3, Nr. 2 (01.02.2014): 204798161452341. http://dx.doi.org/10.1177/2047981614523415.
Der volle Inhalt der QuelleStoia, Sebastian, Manuela Lenghel, Cristian Dinu, Tiberiu Tamaș, Simion Bran, Mihaela Băciuț, Emil Boțan et al. „The Value of Multiparametric Magnetic Resonance Imaging in the Preoperative Differential Diagnosis of Parotid Gland Tumors“. Cancers 15, Nr. 4 (19.02.2023): 1325. http://dx.doi.org/10.3390/cancers15041325.
Der volle Inhalt der QuelleWang, Shijun, Karen Burtt, Baris Turkbey, Peter Choyke und Ronald M. Summers. „Computer Aided-Diagnosis of Prostate Cancer on Multiparametric MRI: A Technical Review of Current Research“. BioMed Research International 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/789561.
Der volle Inhalt der QuelleKufer, Jan, Christine Preibisch, Samira Epp, Jens Göttler, Lena Schmitzer, Claus Zimmer, Fahmeed Hyder und Stephan Kaczmarz. „Imaging effective oxygen diffusivity in the human brain with multiparametric magnetic resonance imaging“. Journal of Cerebral Blood Flow & Metabolism 42, Nr. 2 (30.09.2021): 349–63. http://dx.doi.org/10.1177/0271678x211048412.
Der volle Inhalt der QuelleCitak-Er, Fusun, Metin Vural, Omer Acar, Tarik Esen, Aslihan Onay und Esin Ozturk-Isik. „Final Gleason Score Prediction Using Discriminant Analysis and Support Vector Machine Based on Preoperative Multiparametric MR Imaging of Prostate Cancer at 3T“. BioMed Research International 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/690787.
Der volle Inhalt der QuelleLi, Bochong, Ryo Oka, Ping Xuan, Yuichiro Yoshimura und Toshiya Nakaguchi. „Semi-Automatic Multiparametric MR Imaging Classification Using Novel Image Input Sequences and 3D Convolutional Neural Networks“. Algorithms 15, Nr. 7 (18.07.2022): 248. http://dx.doi.org/10.3390/a15070248.
Der volle Inhalt der QuelleElmokadem, Ali H., Ahmed M. Abdel Khalek, Rihame M. Abdel Wahab, Nehal Tharwat, Ghada M. Gaballa, Mohamed Abo Elata und Talal Amer. „Diagnostic Accuracy of Multiparametric Magnetic Resonance Imaging for Differentiation between Parotid Neoplasms“. Canadian Association of Radiologists Journal 70, Nr. 3 (August 2019): 264–72. http://dx.doi.org/10.1016/j.carj.2018.10.010.
Der volle Inhalt der QuelleRobbins, Katherine, Miles Seidel, Deirdre Kiernan, John Hooper, Adrian Clubb, Rino Olivotto, Anna Salkeld, Bhuvana Srinivasan und Admire Matsika. „Utility of multiparametric magnetic resonance imaging (mp-MRI) for screening and detection of high risk prostate cancer“. Pathology 50 (Februar 2018): S83. http://dx.doi.org/10.1016/j.pathol.2017.12.222.
Der volle Inhalt der QuelleSwitlyk, Marta D., Andreas Hopland, Edmund Reitan, Shivanthe Sivanesan, Bjørn Brennhovd, Ulrika Axcrona und Knut H. Hole. „Multiparametric Magnetic Resonance Imaging of Penile Cancer: A Pictorial Review“. Cancers 15, Nr. 22 (08.11.2023): 5324. http://dx.doi.org/10.3390/cancers15225324.
Der volle Inhalt der QuelleDijkhuizen, Rick M., und Klaas Nicolay. „Magnetic Resonance Imaging in Experimental Models of Brain Disorders“. Journal of Cerebral Blood Flow & Metabolism 23, Nr. 12 (Dezember 2003): 1383–402. http://dx.doi.org/10.1097/01.wcb.0000100341.78607.eb.
Der volle Inhalt der QuelleTsili, Athina C., Olga N. Xiropotamou, Michael Nomikos und Maria I. Argyropoulou. „Silicone-induced Penile Sclerosing Lipogranuloma: Magnetic Resonance Imaging Findings“. Journal of Clinical Imaging Science 6 (28.01.2016): 3. http://dx.doi.org/10.4103/2156-7514.175084.
Der volle Inhalt der QuellePichiecchio, A., E. Tavazzi, G. Poloni, M. Ponzio, F. Palesi, M. Pasin, L. Piccolo et al. „Advanced magnetic resonance imaging of neuromyelitis optica: a multiparametric approach“. Multiple Sclerosis Journal 18, Nr. 6 (19.12.2011): 817–24. http://dx.doi.org/10.1177/1352458511431072.
Der volle Inhalt der QuelleLee, Seunghyun, Seung Hong Choi, Hye Rim Cho, Jaemoon Koh, Chul-Kee Park und Tomotsugu Ichikawa. „Multiparametric magnetic resonance imaging features of a canine glioblastoma model“. PLOS ONE 16, Nr. 7 (09.07.2021): e0254448. http://dx.doi.org/10.1371/journal.pone.0254448.
Der volle Inhalt der QuelleKocar, Thomas D., Hans-Peter Müller, Albert C. Ludolph und Jan Kassubek. „Feature selection from magnetic resonance imaging data in ALS: a systematic review“. Therapeutic Advances in Chronic Disease 12 (Januar 2021): 204062232110510. http://dx.doi.org/10.1177/20406223211051002.
Der volle Inhalt der QuelleGeorgiev, Aleksandar, Lyubomir Chervenkov, Mladen Doykov, Katya Doykova, Petar Uchikov und Silvia Tsvetkova. „Surveillance Value of Apparent Diffusion Coefficient Maps: Multiparametric MRI in Active Surveillance of Prostate Cancer“. Cancers 15, Nr. 4 (10.02.2023): 1128. http://dx.doi.org/10.3390/cancers15041128.
Der volle Inhalt der QuelleKardos, Steven V., Cayce Nawaf, Richard Fan, Daniel Cornfeld, Jeffrey Weinreb, Peter Schulam und Preston Sprenkle. „Simplified prostate lesion grading for magnetic resonance imaging and improved cancer detection at fusion-targeted prostate biopsy.“ Journal of Clinical Oncology 33, Nr. 7_suppl (01.03.2015): 69. http://dx.doi.org/10.1200/jco.2015.33.7_suppl.69.
Der volle Inhalt der QuelleFathi Kazerooni, Anahita, Hamed Akbari, Gaurav Shukla, Chaitra Badve, Jeffrey D. Rudie, Chiharu Sako, Saima Rathore et al. „Cancer Imaging Phenomics via CaPTk: Multi-Institutional Prediction of Progression-Free Survival and Pattern of Recurrence in Glioblastoma“. JCO Clinical Cancer Informatics, Nr. 4 (September 2020): 234–44. http://dx.doi.org/10.1200/cci.19.00121.
Der volle Inhalt der QuelleYu, Jinxing, Ann S. Fulcher, Sarah Winks, Mary A. Turner, William Behl, Anna Lee Ware, Nitai D. Mukhopadhyay et al. „Utilization of Multiparametric MRI of Prostate in Patients under Consideration for or Already in Active Surveillance: Correlation with Imaging Guided Target Biopsy“. Diagnostics 10, Nr. 7 (29.06.2020): 441. http://dx.doi.org/10.3390/diagnostics10070441.
Der volle Inhalt der QuelleMazzacane, Federico, Valentina Mazzoleni, Elisa Scola, Sara Mancini, Ivano Lombardo, Giorgio Busto, Elisa Rognone et al. „Vessel Wall Magnetic Resonance Imaging in Cerebrovascular Diseases“. Diagnostics 12, Nr. 2 (20.01.2022): 258. http://dx.doi.org/10.3390/diagnostics12020258.
Der volle Inhalt der QuelleChen, Quan, Shiliang Hu, Peiran Long, Fang Lu, Yujie Shi und Yunpeng Li. „A Transfer Learning Approach for Malignant Prostate Lesion Detection on Multiparametric MRI“. Technology in Cancer Research & Treatment 18 (01.01.2019): 153303381985836. http://dx.doi.org/10.1177/1533033819858363.
Der volle Inhalt der QuelleCrisan, Nicolae, Iulia Andras, Corina Radu, David Andras, Radu-Tudor Coman, Paul Tucan, Doina Pisla, Dana Crisan und Ioan Coman. „Prostate ultrasound: back in business!“ Medical Ultrasonography 19, Nr. 4 (29.11.2017): 423. http://dx.doi.org/10.11152/mu-1147.
Der volle Inhalt der QuelleZhang, Li, Xia Zhe, Min Tang, Jing Zhang, Jialiang Ren, Xiaoling Zhang und Longchao Li. „Predicting the Grade of Prostate Cancer Based on a Biparametric MRI Radiomics Signature“. Contrast Media & Molecular Imaging 2021 (23.12.2021): 1–10. http://dx.doi.org/10.1155/2021/7830909.
Der volle Inhalt der QuelleJokivarsi, Kimmo T., Yrjö Hiltunen, Pasi I. Tuunanen, Risto A. Kauppinen und Olli HJ Gröhn. „Correlating Tissue Outcome with Quantitative Multiparametric MRI of Acute Cerebral Ischemia in Rats“. Journal of Cerebral Blood Flow & Metabolism 30, Nr. 2 (11.11.2009): 415–27. http://dx.doi.org/10.1038/jcbfm.2009.236.
Der volle Inhalt der QuelleKirlik, Gokhan, Rao Gullapalli, Warren D’Souza, Gazi Md Daud Iqbal, Michael Naslund, Jade Wong, John Papadimitrou, Steve Roys, Nilesh Mistry und Hao Zhang. „A Supervised Learning Tool for Prostate Cancer Foci Detection and Aggressiveness Identification using Multiparametric magnetic resonance imaging/magnetic resonance spectroscopy imaging“. Cancer Informatics 17 (01.01.2018): 117693511878626. http://dx.doi.org/10.1177/1176935118786260.
Der volle Inhalt der QuelleCorradini, Daniele, Leonardo Brizi, Caterina Gaudiano, Lorenzo Bianchi, Emanuela Marcelli, Rita Golfieri, Riccardo Schiavina, Claudia Testa und Daniel Remondini. „Challenges in the Use of Artificial Intelligence for Prostate Cancer Diagnosis from Multiparametric Imaging Data“. Cancers 13, Nr. 16 (05.08.2021): 3944. http://dx.doi.org/10.3390/cancers13163944.
Der volle Inhalt der QuelleNelissen, Jules L., Willeke A. Traa, Hans H. de Boer, Larry de Graaf, Valentina Mazzoli, C. Dilara Savci-Heijink, Klaas Nicolay et al. „An advanced magnetic resonance imaging perspective on the etiology of deep tissue injury“. Journal of Applied Physiology 124, Nr. 6 (01.06.2018): 1580–96. http://dx.doi.org/10.1152/japplphysiol.00891.2017.
Der volle Inhalt der QuelleFerenc, Thomas, Jelena Popić und Vinko Vidjak. „Magnetic resonance imaging in the diagnosis of malignant gynaecological tumours“. Medicina Fluminensis 58, Nr. 2 (01.06.2022): 100–112. http://dx.doi.org/10.21860/medflum2022_275127.
Der volle Inhalt der QuelleTarachkova, Е. V., E. V. Nikolaev, М. A. Shorikov, V. О. Panov und I. Е. Tyurin. „Estimation of the Extent of Cervical Cancer Using Multiparametric Magnetic Resonance Imaging“. Journal of radiology and nuclear medicine 100, Nr. 5 (04.11.2019): 298–303. http://dx.doi.org/10.20862/0042-4676-2019-100-5-298-303.
Der volle Inhalt der QuelleGarteiser, Philippe, Benjamin Leporq, Pierre-Emmanuel Rautou, Dominique Valla und Bernard Van Beers. „Quantitative Imaging in Diffuse Liver Diseases“. Seminars in Liver Disease 37, Nr. 03 (August 2017): 243–58. http://dx.doi.org/10.1055/s-0037-1603651.
Der volle Inhalt der QuelleSarkar, Saradwata, und Sudipta Das. „A Review of Imaging Methods for Prostate Cancer Detection“. Biomedical Engineering and Computational Biology 7s1 (Januar 2016): BECB.S34255. http://dx.doi.org/10.4137/becb.s34255.
Der volle Inhalt der QuelleLopes Dias, João, João Magalhães Pina, Nuno Vasco Costa, Sandra Carmo, Cecília Leal, Tiago Bilhim, Rui Mateus Marques und Luís Campos Pinheiro. „The utility of apparent diffusion coefficient values in the risk stratification of prostate cancer using a 1.5T magnetic resonance imaging without endorectal coil“. Acta Urológica Portuguesa 33, Nr. 3 (10.04.2017): 81–86. http://dx.doi.org/10.24915/aup.33.3.33.
Der volle Inhalt der QuelleDamascelli, Anna, Francesca Gallivanone, Giulia Cristel, Claudia Cava, Matteo Interlenghi, Antonio Esposito, Giorgio Brembilla et al. „Advanced Imaging Analysis in Prostate MRI: Building a Radiomic Signature to Predict Tumor Aggressiveness“. Diagnostics 11, Nr. 4 (26.03.2021): 594. http://dx.doi.org/10.3390/diagnostics11040594.
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