Characterization of breast tumors using machine learning based upon multiparametric magnetic resonance imaging features

2021 ◽  
Author(s):  
Snekha Thakran ◽  
Rakesh Kumar Gupta ◽  
Anup Singh
Keyword(s):  
Magnetic Resonance Imaging ◽  
Machine Learning ◽  
Magnetic Resonance ◽  
Breast Tumors ◽  
Imaging Features ◽  
Resonance Imaging ◽  
Multiparametric Magnetic Resonance Imaging

scholarly journals Autodelineation of cervical cancers using multiparametric magnetic resonance imaging and machine learning

2017 ◽  
Vol 56 (6) ◽  
pp. 806-812 ◽  
Author(s):  
Turid Torheim ◽  
Eirik Malinen ◽  
Knut Håkon Hole ◽  
Kjersti Vassmo Lund ◽  
Ulf G. Indahl ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Machine Learning ◽  
Magnetic Resonance ◽  
Resonance Imaging ◽  
Cervical Cancers ◽  
Multiparametric Magnetic Resonance Imaging

Multiparametric Magnetic Resonance Imaging Features of Giant Intracranial Tuberculomas

2021 ◽  
pp. 107006
Author(s):  
Sameer Peer ◽  
Sarbesh Tiwari ◽  
Aarthi Deepesh Swaminathan ◽  
Shumyla Jabeen ◽  
Jitender Saini ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Imaging Features ◽  
Resonance Imaging ◽  
Multiparametric Magnetic Resonance Imaging

scholarly journals Magnetic Resonance Imaging of Non-ischemic Cardiomyopathies: A Pictorial Essay

2015 ◽  
Vol 5 ◽  
pp. 37 ◽  
Author(s):  
Cristina I Olivas-Chacon ◽  
Carola Mullins ◽  
Kevan Stewart ◽  
Nassim Akle ◽  
Jesus E Calleros ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Systemic Disease ◽  
Left Ventricular ◽  
Imaging Features ◽  
Resonance Imaging ◽  
Imaging Tool ◽  
Pictorial Essay ◽  
And Function

Non-ischemic cardiomyopathies are defined as either primary or secondary diseases of the myocardium resulting in cardiac dysfunction. While primary cardiomyopathies are confined to the heart and can be genetic or acquired, secondary cardiomyopathies show involvement of the heart as a manifestation of an underlying systemic disease including metabolic, inflammatory, granulomatous, infectious, or autoimmune entities. Non-ischemic cardiomyopathies are currently classified as hypertrophic, dilated, restrictive, or unclassifiable, including left ventricular non-compaction. Cardiovascular Magnetic Resonance Imaging (CMRI) not only has the capability to assess cardiac morphology and function, but also the ability to detect edema, hemorrhage, fibrosis, and intramyocardial deposits, providing a valuable imaging tool in the characterization of non-ischemic cardiomyopathies. This pictorial essay shows some of the most important non-ischemic cardiomyopathies with an emphasis on magnetic resonance imaging features.

scholarly journals Multiparametric magnetic resonance imaging findings of prostatic pure leiomyomas

2016 ◽  
Vol 14 (3) ◽  
pp. 374-377 ◽  
Author(s):  
Thais Caldara Mussi ◽  
Yves Bohrer Costa ◽  
Marcos Takeo Obara ◽  
Marcos Roberto Gomes de Queiroz ◽  
Rodrigo Gobbo Garcia ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Prostate Cancer ◽  
Magnetic Resonance ◽  
Peripheral Zone ◽  
Transitional Zone ◽  
Imaging Features ◽  
Imaging Findings ◽  
Resonance Imaging ◽  
Imaging Methods ◽  
Multiparametric Magnetic Resonance Imaging

ABSTRACT Objective: To describe the imaging findings of prostatic tumors nonadenocarcinoma on multiparametric magnetic resonance imaging. Methods: A total of 200 patients underwented multiparametric magnetic resonance imaging of the prostate for screening for prostate cancer, from August 2013 to September 2014, followed by biopsy with ultrasound/magnetic resonance imaging fusion. Results: We found three pathologic proved cases of prostatic pure leiomyomas (0.02%) in our series and described the multiparametric magnetic resonance imaging features of these prostatic leiomyomas. The imaging findings had similar features to lesions with moderate or high suspicion for significant cancer (Likert 4 or 5) when localized both in the transitional zone or in the peripheral zone of the gland. Conclusion: Pure prostatic leiomyomas had imaging findings on multiparametric magnetic resonance imaging that mimicked usual adenocarcinomas on this test. Radiologists, urologists and pathologists must be aware of this entity and its imaging features.

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