Artykuły w czasopismach na temat „Multiparametric Magnetic Resonance Imaging (mp-MRI)”
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Sprawdź 50 najlepszych artykułów w czasopismach naukowych na temat „Multiparametric Magnetic Resonance Imaging (mp-MRI)”.
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Kapur, Savinay, Chandan J. Das i Sanjay Sharma. "Multiparametric Magnetic Resonance Imaging of the Prostate: An Update". Annals of the National Academy of Medical Sciences (India) 55, nr 02 (kwiecień 2019): 074–83. http://dx.doi.org/10.1055/s-0039-1694077.
Pełny tekst źródłaYadav, Kuldeep, Binit Sureka, Poonam Elhence, Gautam Ram Choudhary i Himanshu Pandey. "Pitfalls in Prostate Cancer Magnetic Resonance Imaging". Indian Journal of Medical and Paediatric Oncology 42, nr 01 (marzec 2021): 080–88. http://dx.doi.org/10.1055/s-0041-1730757.
Pełny tekst źródłaSankineni, Sandeep, Murat Osman i Peter L. Choyke. "Functional MRI in Prostate Cancer Detection". BioMed Research International 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/590638.
Pełny tekst źródłaPopita, Cristian, Anca Raluca Popita, Adela Sitar-Taut, Bogdan Petrut, Bogdan Fetica i 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.
Pełny tekst źródłaSardari, Al, John V. Thomas, Jeffrey W. Nix, Jason A. Pietryga, Rupan Sanyal, Jennifer B. Gordetsky i 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.
Pełny tekst źródłaUllrich, T., C. Arsov, M. Quentin, F. Mones, A. C. Westphalen, D. Mally, A. Hiester, P. Albers, G. Antoch i 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.
Pełny tekst źródłaObino, Mariah Kerubo, Edward Ng’ang’a Chege, Sudhir Vinayak i 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.
Pełny tekst źródłaDoykov, Mladen, Lyubomir Chervenkov, Silvia Tsvetkova-Trichkova, Katya Doykova i 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.
Pełny tekst źródłaKowa, Jie-Ying, Neil Soneji, S. Aslam Sohaib, Erik Mayer, Stephen Hazell, Nicholas Butterfield, Joshua Shur i Derfel ap Dafydd. "Detection and staging of radio-recurrent prostate cancer using multiparametric MRI". British Journal of Radiology 94, nr 1120 (1.04.2021): 20201423. http://dx.doi.org/10.1259/bjr.20201423.
Pełny tekst źródłaFaccioli, Niccolò, Elena Santi, Giovanni Foti, Pierpaolo Curti i 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.
Pełny tekst źródłaAlanezi, Saleh T., Frank Sullivan, Christoph Kleefeld, John F. Greally, Marcin J. Kraśny, Peter Woulfe, Declan Sheppard i 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.
Pełny tekst źródłaSavchenkov, Yu N., G. E. Trufanov, V. A. Fokin, A. Yu Efimtsev, S. E. Arakelov, I. Yu Titova i 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.
Pełny tekst źródłaSoni, Mukesh, Ihtiram Raza Khan, K. Suresh Babu, Syed Nasrullah, Abhishek Madduri i 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.
Pełny tekst źródłaDuenweg, Savannah R., Xi Fang, Samuel A. Bobholz, Allison K. Lowman, Michael Brehler, Fitzgerald Kyereme, Kenneth A. Iczkowski, Kenneth M. Jacobsohn, Anjishnu Banerjee i 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 (2.03.2022): 635–43. http://dx.doi.org/10.3390/tomography8020053.
Pełny tekst źródłaSingla, Amit, Nerbadyswari Deep, Suprava Naik, Sudipta Mohakud, Prasant Nayak i 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.
Pełny tekst źródłaPopat, Palak B., Sharad Maheshwari, Nilesh P. Sable, Meenakshi Thakur i Aparna Katdare. "Multiparametric MRI Approach to Prostate Cancer with a Pictorial Essay on PI-RADS". Journal of Gastrointestinal and Abdominal Radiology 02, nr 01 (czerwiec 2019): 004–17. http://dx.doi.org/10.1055/s-0039-1683454.
Pełny tekst źródłaHarvey, Hugh, i Nandita M. deSouza. "The role of imaging in the diagnosis of primary prostate cancer". Journal of Clinical Urology 9, nr 2_suppl (grudzień 2016): 11–17. http://dx.doi.org/10.1177/2051415816656120.
Pełny tekst źródłaLopes Dias, João, João Magalhães Pina, Raquel João, Joana Fialho, Sandra Carmo, Cecília Leal, Tiago Bilhim, Rui Mateus Marques i 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.
Pełny tekst źródłaPlatzek, Ivan, Hagen H. Kitzler, Volker Gudziol, Michael Laniado i Gabriele Hahn. "Magnetic resonance imaging in acute mastoiditis". Acta Radiologica Short Reports 3, nr 2 (1.02.2014): 204798161452341. http://dx.doi.org/10.1177/2047981614523415.
Pełny tekst źródłaStoia, Sebastian, Manuela Lenghel, Cristian Dinu, Tiberiu Tamaș, Simion Bran, Mihaela Băciuț, Emil Boțan i in. "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.
Pełny tekst źródłaWang, Shijun, Karen Burtt, Baris Turkbey, Peter Choyke i 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.
Pełny tekst źródłaKufer, Jan, Christine Preibisch, Samira Epp, Jens Göttler, Lena Schmitzer, Claus Zimmer, Fahmeed Hyder i 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.
Pełny tekst źródłaCitak-Er, Fusun, Metin Vural, Omer Acar, Tarik Esen, Aslihan Onay i 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.
Pełny tekst źródłaLi, Bochong, Ryo Oka, Ping Xuan, Yuichiro Yoshimura i 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.
Pełny tekst źródłaElmokadem, Ali H., Ahmed M. Abdel Khalek, Rihame M. Abdel Wahab, Nehal Tharwat, Ghada M. Gaballa, Mohamed Abo Elata i Talal Amer. "Diagnostic Accuracy of Multiparametric Magnetic Resonance Imaging for Differentiation between Parotid Neoplasms". Canadian Association of Radiologists Journal 70, nr 3 (sierpień 2019): 264–72. http://dx.doi.org/10.1016/j.carj.2018.10.010.
Pełny tekst źródłaRobbins, Katherine, Miles Seidel, Deirdre Kiernan, John Hooper, Adrian Clubb, Rino Olivotto, Anna Salkeld, Bhuvana Srinivasan i Admire Matsika. "Utility of multiparametric magnetic resonance imaging (mp-MRI) for screening and detection of high risk prostate cancer". Pathology 50 (luty 2018): S83. http://dx.doi.org/10.1016/j.pathol.2017.12.222.
Pełny tekst źródłaSwitlyk, Marta D., Andreas Hopland, Edmund Reitan, Shivanthe Sivanesan, Bjørn Brennhovd, Ulrika Axcrona i Knut H. Hole. "Multiparametric Magnetic Resonance Imaging of Penile Cancer: A Pictorial Review". Cancers 15, nr 22 (8.11.2023): 5324. http://dx.doi.org/10.3390/cancers15225324.
Pełny tekst źródłaDijkhuizen, Rick M., i Klaas Nicolay. "Magnetic Resonance Imaging in Experimental Models of Brain Disorders". Journal of Cerebral Blood Flow & Metabolism 23, nr 12 (grudzień 2003): 1383–402. http://dx.doi.org/10.1097/01.wcb.0000100341.78607.eb.
Pełny tekst źródłaTsili, Athina C., Olga N. Xiropotamou, Michael Nomikos i 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.
Pełny tekst źródłaPichiecchio, A., E. Tavazzi, G. Poloni, M. Ponzio, F. Palesi, M. Pasin, L. Piccolo i in. "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.
Pełny tekst źródłaLee, Seunghyun, Seung Hong Choi, Hye Rim Cho, Jaemoon Koh, Chul-Kee Park i Tomotsugu Ichikawa. "Multiparametric magnetic resonance imaging features of a canine glioblastoma model". PLOS ONE 16, nr 7 (9.07.2021): e0254448. http://dx.doi.org/10.1371/journal.pone.0254448.
Pełny tekst źródłaKocar, Thomas D., Hans-Peter Müller, Albert C. Ludolph i Jan Kassubek. "Feature selection from magnetic resonance imaging data in ALS: a systematic review". Therapeutic Advances in Chronic Disease 12 (styczeń 2021): 204062232110510. http://dx.doi.org/10.1177/20406223211051002.
Pełny tekst źródłaGeorgiev, Aleksandar, Lyubomir Chervenkov, Mladen Doykov, Katya Doykova, Petar Uchikov i 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.
Pełny tekst źródłaKardos, Steven V., Cayce Nawaf, Richard Fan, Daniel Cornfeld, Jeffrey Weinreb, Peter Schulam i 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 (1.03.2015): 69. http://dx.doi.org/10.1200/jco.2015.33.7_suppl.69.
Pełny tekst źródłaFathi Kazerooni, Anahita, Hamed Akbari, Gaurav Shukla, Chaitra Badve, Jeffrey D. Rudie, Chiharu Sako, Saima Rathore i in. "Cancer Imaging Phenomics via CaPTk: Multi-Institutional Prediction of Progression-Free Survival and Pattern of Recurrence in Glioblastoma". JCO Clinical Cancer Informatics, nr 4 (wrzesień 2020): 234–44. http://dx.doi.org/10.1200/cci.19.00121.
Pełny tekst źródłaYu, Jinxing, Ann S. Fulcher, Sarah Winks, Mary A. Turner, William Behl, Anna Lee Ware, Nitai D. Mukhopadhyay i in. "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.
Pełny tekst źródłaMazzacane, Federico, Valentina Mazzoleni, Elisa Scola, Sara Mancini, Ivano Lombardo, Giorgio Busto, Elisa Rognone i in. "Vessel Wall Magnetic Resonance Imaging in Cerebrovascular Diseases". Diagnostics 12, nr 2 (20.01.2022): 258. http://dx.doi.org/10.3390/diagnostics12020258.
Pełny tekst źródłaChen, Quan, Shiliang Hu, Peiran Long, Fang Lu, Yujie Shi i Yunpeng Li. "A Transfer Learning Approach for Malignant Prostate Lesion Detection on Multiparametric MRI". Technology in Cancer Research & Treatment 18 (1.01.2019): 153303381985836. http://dx.doi.org/10.1177/1533033819858363.
Pełny tekst źródłaCrisan, Nicolae, Iulia Andras, Corina Radu, David Andras, Radu-Tudor Coman, Paul Tucan, Doina Pisla, Dana Crisan i Ioan Coman. "Prostate ultrasound: back in business!" Medical Ultrasonography 19, nr 4 (29.11.2017): 423. http://dx.doi.org/10.11152/mu-1147.
Pełny tekst źródłaZhang, Li, Xia Zhe, Min Tang, Jing Zhang, Jialiang Ren, Xiaoling Zhang i 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.
Pełny tekst źródłaJokivarsi, Kimmo T., Yrjö Hiltunen, Pasi I. Tuunanen, Risto A. Kauppinen i 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.
Pełny tekst źródłaKirlik, Gokhan, Rao Gullapalli, Warren D’Souza, Gazi Md Daud Iqbal, Michael Naslund, Jade Wong, John Papadimitrou, Steve Roys, Nilesh Mistry i 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 (1.01.2018): 117693511878626. http://dx.doi.org/10.1177/1176935118786260.
Pełny tekst źródłaCorradini, Daniele, Leonardo Brizi, Caterina Gaudiano, Lorenzo Bianchi, Emanuela Marcelli, Rita Golfieri, Riccardo Schiavina, Claudia Testa i Daniel Remondini. "Challenges in the Use of Artificial Intelligence for Prostate Cancer Diagnosis from Multiparametric Imaging Data". Cancers 13, nr 16 (5.08.2021): 3944. http://dx.doi.org/10.3390/cancers13163944.
Pełny tekst źródłaNelissen, Jules L., Willeke A. Traa, Hans H. de Boer, Larry de Graaf, Valentina Mazzoli, C. Dilara Savci-Heijink, Klaas Nicolay i in. "An advanced magnetic resonance imaging perspective on the etiology of deep tissue injury". Journal of Applied Physiology 124, nr 6 (1.06.2018): 1580–96. http://dx.doi.org/10.1152/japplphysiol.00891.2017.
Pełny tekst źródłaFerenc, Thomas, Jelena Popić i Vinko Vidjak. "Magnetic resonance imaging in the diagnosis of malignant gynaecological tumours". Medicina Fluminensis 58, nr 2 (1.06.2022): 100–112. http://dx.doi.org/10.21860/medflum2022_275127.
Pełny tekst źródłaTarachkova, Е. V., E. V. Nikolaev, М. A. Shorikov, V. О. Panov i I. Е. Tyurin. "Estimation of the Extent of Cervical Cancer Using Multiparametric Magnetic Resonance Imaging". Journal of radiology and nuclear medicine 100, nr 5 (4.11.2019): 298–303. http://dx.doi.org/10.20862/0042-4676-2019-100-5-298-303.
Pełny tekst źródłaGarteiser, Philippe, Benjamin Leporq, Pierre-Emmanuel Rautou, Dominique Valla i Bernard Van Beers. "Quantitative Imaging in Diffuse Liver Diseases". Seminars in Liver Disease 37, nr 03 (sierpień 2017): 243–58. http://dx.doi.org/10.1055/s-0037-1603651.
Pełny tekst źródłaSarkar, Saradwata, i Sudipta Das. "A Review of Imaging Methods for Prostate Cancer Detection". Biomedical Engineering and Computational Biology 7s1 (styczeń 2016): BECB.S34255. http://dx.doi.org/10.4137/becb.s34255.
Pełny tekst źródłaLopes Dias, João, João Magalhães Pina, Nuno Vasco Costa, Sandra Carmo, Cecília Leal, Tiago Bilhim, Rui Mateus Marques i 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.
Pełny tekst źródłaDamascelli, Anna, Francesca Gallivanone, Giulia Cristel, Claudia Cava, Matteo Interlenghi, Antonio Esposito, Giorgio Brembilla i in. "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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