Artigos de revistas sobre o tema "Multiparametric Magnetic Resonance Imaging (mp-MRI)"
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Kapur, Savinay, Chandan J. Das e Sanjay Sharma. "Multiparametric Magnetic Resonance Imaging of the Prostate: An Update". Annals of the National Academy of Medical Sciences (India) 55, n.º 02 (abril de 2019): 074–83. http://dx.doi.org/10.1055/s-0039-1694077.
Texto completo da fonteYadav, Kuldeep, Binit Sureka, Poonam Elhence, Gautam Ram Choudhary e Himanshu Pandey. "Pitfalls in Prostate Cancer Magnetic Resonance Imaging". Indian Journal of Medical and Paediatric Oncology 42, n.º 01 (março de 2021): 080–88. http://dx.doi.org/10.1055/s-0041-1730757.
Texto completo da fonteSankineni, Sandeep, Murat Osman e Peter L. Choyke. "Functional MRI in Prostate Cancer Detection". BioMed Research International 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/590638.
Texto completo da fontePopita, Cristian, Anca Raluca Popita, Adela Sitar-Taut, Bogdan Petrut, Bogdan Fetica e Ioan Coman. "1.5-Tesla Multiparametric-Magnetic Resonance Imaging for the detection of clinically significant prostate cancer". Medicine and Pharmacy Reports 90, n.º 1 (30 de janeiro de 2017): 40–48. http://dx.doi.org/10.15386/cjmed-690.
Texto completo da fonteSardari, Al, John V. Thomas, Jeffrey W. Nix, Jason A. Pietryga, Rupan Sanyal, Jennifer B. Gordetsky e 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.
Texto completo da fonteUllrich, T., C. Arsov, M. Quentin, F. Mones, A. C. Westphalen, D. Mally, A. Hiester, P. Albers, G. Antoch e L. Schimmöller. "Multiparametric magnetic resonance imaging can exclude prostate cancer progression in patients on active surveillance: a retrospective cohort study". European Radiology 30, n.º 11 (26 de junho de 2020): 6042–51. http://dx.doi.org/10.1007/s00330-020-06997-1.
Texto completo da fonteObino, Mariah Kerubo, Edward Ng’ang’a Chege, Sudhir Vinayak e 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, n.º 2 (30 de maio de 2022): 108–15. http://dx.doi.org/10.4314/aas.v19i2.8.
Texto completo da fonteDoykov, Mladen, Lyubomir Chervenkov, Silvia Tsvetkova-Trichkova, Katya Doykova e 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 de julho de 2022): 1840–45. http://dx.doi.org/10.3889/oamjms.2022.10401.
Texto completo da fonteKowa, Jie-Ying, Neil Soneji, S. Aslam Sohaib, Erik Mayer, Stephen Hazell, Nicholas Butterfield, Joshua Shur e Derfel ap Dafydd. "Detection and staging of radio-recurrent prostate cancer using multiparametric MRI". British Journal of Radiology 94, n.º 1120 (1 de abril de 2021): 20201423. http://dx.doi.org/10.1259/bjr.20201423.
Texto completo da fonteFaccioli, Niccolò, Elena Santi, Giovanni Foti, Pierpaolo Curti e 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, n.º 2 (29 de junho de 2022): 160–65. http://dx.doi.org/10.4081/aiua.2022.2.160.
Texto completo da fonteAlanezi, Saleh T., Frank Sullivan, Christoph Kleefeld, John F. Greally, Marcin J. Kraśny, Peter Woulfe, Declan Sheppard e Niall Colgan. "Quantifying Tumor Heterogeneity from Multiparametric Magnetic Resonance Imaging of Prostate Using Texture Analysis". Cancers 14, n.º 7 (23 de março de 2022): 1631. http://dx.doi.org/10.3390/cancers14071631.
Texto completo da fonteSavchenkov, Yu N., G. E. Trufanov, V. A. Fokin, A. Yu Efimtsev, S. E. Arakelov, I. Yu Titova e 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, n.º 1 (18 de janeiro de 2024): 159–67. http://dx.doi.org/10.20340/vmi-rvz.2024.1.mim.2.
Texto completo da fonteSoni, Mukesh, Ihtiram Raza Khan, K. Suresh Babu, Syed Nasrullah, Abhishek Madduri e Saima Ahmed Rahin. "Light Weighted Healthcare CNN Model to Detect Prostate Cancer on Multiparametric MRI". Computational Intelligence and Neuroscience 2022 (28 de maio de 2022): 1–11. http://dx.doi.org/10.1155/2022/5497120.
Texto completo da fonteDuenweg, Savannah R., Xi Fang, Samuel A. Bobholz, Allison K. Lowman, Michael Brehler, Fitzgerald Kyereme, Kenneth A. Iczkowski, Kenneth M. Jacobsohn, Anjishnu Banerjee e 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, n.º 2 (2 de março de 2022): 635–43. http://dx.doi.org/10.3390/tomography8020053.
Texto completo da fonteSingla, Amit, Nerbadyswari Deep, Suprava Naik, Sudipta Mohakud, Prasant Nayak e 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.
Texto completo da fontePopat, Palak B., Sharad Maheshwari, Nilesh P. Sable, Meenakshi Thakur e Aparna Katdare. "Multiparametric MRI Approach to Prostate Cancer with a Pictorial Essay on PI-RADS". Journal of Gastrointestinal and Abdominal Radiology 02, n.º 01 (junho de 2019): 004–17. http://dx.doi.org/10.1055/s-0039-1683454.
Texto completo da fonteHarvey, Hugh, e Nandita M. deSouza. "The role of imaging in the diagnosis of primary prostate cancer". Journal of Clinical Urology 9, n.º 2_suppl (dezembro de 2016): 11–17. http://dx.doi.org/10.1177/2051415816656120.
Texto completo da fonteLopes Dias, João, João Magalhães Pina, Raquel João, Joana Fialho, Sandra Carmo, Cecília Leal, Tiago Bilhim, Rui Mateus Marques e Luís Campos Pinheiro. "Prostate Cancer: The Role of Multiparametric Magnetic Resonance Imaging". Acta Médica Portuguesa 28, n.º 2 (30 de abril de 2015): 240. http://dx.doi.org/10.20344/amp.5370.
Texto completo da fontePlatzek, Ivan, Hagen H. Kitzler, Volker Gudziol, Michael Laniado e Gabriele Hahn. "Magnetic resonance imaging in acute mastoiditis". Acta Radiologica Short Reports 3, n.º 2 (1 de fevereiro de 2014): 204798161452341. http://dx.doi.org/10.1177/2047981614523415.
Texto completo da fonteStoia, 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, n.º 4 (19 de fevereiro de 2023): 1325. http://dx.doi.org/10.3390/cancers15041325.
Texto completo da fonteWang, Shijun, Karen Burtt, Baris Turkbey, Peter Choyke e 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.
Texto completo da fonteKufer, Jan, Christine Preibisch, Samira Epp, Jens Göttler, Lena Schmitzer, Claus Zimmer, Fahmeed Hyder e Stephan Kaczmarz. "Imaging effective oxygen diffusivity in the human brain with multiparametric magnetic resonance imaging". Journal of Cerebral Blood Flow & Metabolism 42, n.º 2 (30 de setembro de 2021): 349–63. http://dx.doi.org/10.1177/0271678x211048412.
Texto completo da fonteCitak-Er, Fusun, Metin Vural, Omer Acar, Tarik Esen, Aslihan Onay e 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.
Texto completo da fonteLi, Bochong, Ryo Oka, Ping Xuan, Yuichiro Yoshimura e Toshiya Nakaguchi. "Semi-Automatic Multiparametric MR Imaging Classification Using Novel Image Input Sequences and 3D Convolutional Neural Networks". Algorithms 15, n.º 7 (18 de julho de 2022): 248. http://dx.doi.org/10.3390/a15070248.
Texto completo da fonteElmokadem, Ali H., Ahmed M. Abdel Khalek, Rihame M. Abdel Wahab, Nehal Tharwat, Ghada M. Gaballa, Mohamed Abo Elata e Talal Amer. "Diagnostic Accuracy of Multiparametric Magnetic Resonance Imaging for Differentiation between Parotid Neoplasms". Canadian Association of Radiologists Journal 70, n.º 3 (agosto de 2019): 264–72. http://dx.doi.org/10.1016/j.carj.2018.10.010.
Texto completo da fonteRobbins, Katherine, Miles Seidel, Deirdre Kiernan, John Hooper, Adrian Clubb, Rino Olivotto, Anna Salkeld, Bhuvana Srinivasan e Admire Matsika. "Utility of multiparametric magnetic resonance imaging (mp-MRI) for screening and detection of high risk prostate cancer". Pathology 50 (fevereiro de 2018): S83. http://dx.doi.org/10.1016/j.pathol.2017.12.222.
Texto completo da fonteSwitlyk, Marta D., Andreas Hopland, Edmund Reitan, Shivanthe Sivanesan, Bjørn Brennhovd, Ulrika Axcrona e Knut H. Hole. "Multiparametric Magnetic Resonance Imaging of Penile Cancer: A Pictorial Review". Cancers 15, n.º 22 (8 de novembro de 2023): 5324. http://dx.doi.org/10.3390/cancers15225324.
Texto completo da fonteDijkhuizen, Rick M., e Klaas Nicolay. "Magnetic Resonance Imaging in Experimental Models of Brain Disorders". Journal of Cerebral Blood Flow & Metabolism 23, n.º 12 (dezembro de 2003): 1383–402. http://dx.doi.org/10.1097/01.wcb.0000100341.78607.eb.
Texto completo da fonteTsili, Athina C., Olga N. Xiropotamou, Michael Nomikos e Maria I. Argyropoulou. "Silicone-induced Penile Sclerosing Lipogranuloma: Magnetic Resonance Imaging Findings". Journal of Clinical Imaging Science 6 (28 de janeiro de 2016): 3. http://dx.doi.org/10.4103/2156-7514.175084.
Texto completo da fontePichiecchio, 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, n.º 6 (19 de dezembro de 2011): 817–24. http://dx.doi.org/10.1177/1352458511431072.
Texto completo da fonteLee, Seunghyun, Seung Hong Choi, Hye Rim Cho, Jaemoon Koh, Chul-Kee Park e Tomotsugu Ichikawa. "Multiparametric magnetic resonance imaging features of a canine glioblastoma model". PLOS ONE 16, n.º 7 (9 de julho de 2021): e0254448. http://dx.doi.org/10.1371/journal.pone.0254448.
Texto completo da fonteKocar, Thomas D., Hans-Peter Müller, Albert C. Ludolph e Jan Kassubek. "Feature selection from magnetic resonance imaging data in ALS: a systematic review". Therapeutic Advances in Chronic Disease 12 (janeiro de 2021): 204062232110510. http://dx.doi.org/10.1177/20406223211051002.
Texto completo da fonteGeorgiev, Aleksandar, Lyubomir Chervenkov, Mladen Doykov, Katya Doykova, Petar Uchikov e Silvia Tsvetkova. "Surveillance Value of Apparent Diffusion Coefficient Maps: Multiparametric MRI in Active Surveillance of Prostate Cancer". Cancers 15, n.º 4 (10 de fevereiro de 2023): 1128. http://dx.doi.org/10.3390/cancers15041128.
Texto completo da fonteKardos, Steven V., Cayce Nawaf, Richard Fan, Daniel Cornfeld, Jeffrey Weinreb, Peter Schulam e Preston Sprenkle. "Simplified prostate lesion grading for magnetic resonance imaging and improved cancer detection at fusion-targeted prostate biopsy." Journal of Clinical Oncology 33, n.º 7_suppl (1 de março de 2015): 69. http://dx.doi.org/10.1200/jco.2015.33.7_suppl.69.
Texto completo da fonteFathi 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, n.º 4 (setembro de 2020): 234–44. http://dx.doi.org/10.1200/cci.19.00121.
Texto completo da fonteYu, 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, n.º 7 (29 de junho de 2020): 441. http://dx.doi.org/10.3390/diagnostics10070441.
Texto completo da fonteMazzacane, 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, n.º 2 (20 de janeiro de 2022): 258. http://dx.doi.org/10.3390/diagnostics12020258.
Texto completo da fonteChen, Quan, Shiliang Hu, Peiran Long, Fang Lu, Yujie Shi e Yunpeng Li. "A Transfer Learning Approach for Malignant Prostate Lesion Detection on Multiparametric MRI". Technology in Cancer Research & Treatment 18 (1 de janeiro de 2019): 153303381985836. http://dx.doi.org/10.1177/1533033819858363.
Texto completo da fonteCrisan, Nicolae, Iulia Andras, Corina Radu, David Andras, Radu-Tudor Coman, Paul Tucan, Doina Pisla, Dana Crisan e Ioan Coman. "Prostate ultrasound: back in business!" Medical Ultrasonography 19, n.º 4 (29 de novembro de 2017): 423. http://dx.doi.org/10.11152/mu-1147.
Texto completo da fonteZhang, Li, Xia Zhe, Min Tang, Jing Zhang, Jialiang Ren, Xiaoling Zhang e Longchao Li. "Predicting the Grade of Prostate Cancer Based on a Biparametric MRI Radiomics Signature". Contrast Media & Molecular Imaging 2021 (23 de dezembro de 2021): 1–10. http://dx.doi.org/10.1155/2021/7830909.
Texto completo da fonteJokivarsi, Kimmo T., Yrjö Hiltunen, Pasi I. Tuunanen, Risto A. Kauppinen e Olli HJ Gröhn. "Correlating Tissue Outcome with Quantitative Multiparametric MRI of Acute Cerebral Ischemia in Rats". Journal of Cerebral Blood Flow & Metabolism 30, n.º 2 (11 de novembro de 2009): 415–27. http://dx.doi.org/10.1038/jcbfm.2009.236.
Texto completo da fonteKirlik, Gokhan, Rao Gullapalli, Warren D’Souza, Gazi Md Daud Iqbal, Michael Naslund, Jade Wong, John Papadimitrou, Steve Roys, Nilesh Mistry e 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 de janeiro de 2018): 117693511878626. http://dx.doi.org/10.1177/1176935118786260.
Texto completo da fonteCorradini, Daniele, Leonardo Brizi, Caterina Gaudiano, Lorenzo Bianchi, Emanuela Marcelli, Rita Golfieri, Riccardo Schiavina, Claudia Testa e Daniel Remondini. "Challenges in the Use of Artificial Intelligence for Prostate Cancer Diagnosis from Multiparametric Imaging Data". Cancers 13, n.º 16 (5 de agosto de 2021): 3944. http://dx.doi.org/10.3390/cancers13163944.
Texto completo da fonteNelissen, 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, n.º 6 (1 de junho de 2018): 1580–96. http://dx.doi.org/10.1152/japplphysiol.00891.2017.
Texto completo da fonteFerenc, Thomas, Jelena Popić e Vinko Vidjak. "Magnetic resonance imaging in the diagnosis of malignant gynaecological tumours". Medicina Fluminensis 58, n.º 2 (1 de junho de 2022): 100–112. http://dx.doi.org/10.21860/medflum2022_275127.
Texto completo da fonteTarachkova, Е. V., E. V. Nikolaev, М. A. Shorikov, V. О. Panov e I. Е. Tyurin. "Estimation of the Extent of Cervical Cancer Using Multiparametric Magnetic Resonance Imaging". Journal of radiology and nuclear medicine 100, n.º 5 (4 de novembro de 2019): 298–303. http://dx.doi.org/10.20862/0042-4676-2019-100-5-298-303.
Texto completo da fonteGarteiser, Philippe, Benjamin Leporq, Pierre-Emmanuel Rautou, Dominique Valla e Bernard Van Beers. "Quantitative Imaging in Diffuse Liver Diseases". Seminars in Liver Disease 37, n.º 03 (agosto de 2017): 243–58. http://dx.doi.org/10.1055/s-0037-1603651.
Texto completo da fonteSarkar, Saradwata, e Sudipta Das. "A Review of Imaging Methods for Prostate Cancer Detection". Biomedical Engineering and Computational Biology 7s1 (janeiro de 2016): BECB.S34255. http://dx.doi.org/10.4137/becb.s34255.
Texto completo da fonteLopes Dias, João, João Magalhães Pina, Nuno Vasco Costa, Sandra Carmo, Cecília Leal, Tiago Bilhim, Rui Mateus Marques e 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, n.º 3 (10 de abril de 2017): 81–86. http://dx.doi.org/10.24915/aup.33.3.33.
Texto completo da fonteDamascelli, 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, n.º 4 (26 de março de 2021): 594. http://dx.doi.org/10.3390/diagnostics11040594.
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