Response to characterization of orbital masses by multiparametric MRI

2016 ◽  
Vol 85 (9) ◽  
pp. 1686-1687
Author(s):  
A. Lecler ◽  
D. Balvay ◽  
L. Fournier
Keyword(s):  
Multiparametric Mri ◽  
Orbital Masses

Characterization of orbital masses by multiparametric MRI

2016 ◽  
Vol 85 (2) ◽  
pp. 324-336 ◽  
Author(s):  
Sa-Ra Ro ◽  
Patrick Asbach ◽  
Eberhard Siebert ◽  
Eckart Bertelmann ◽  
Bernd Hamm ◽  
...  
Keyword(s):  
Multiparametric Mri ◽  
Orbital Masses

scholarly journals Multiparametric MRI characterization of level dependent differences in lumbar muscle size, quality, and microstructure

JOR Spine ◽  
2020 ◽  
Vol 3 (2) ◽  
Author(s):  
David B. Berry ◽  
Ana E. Rodriguez‐Soto ◽  
Erin K. Englund ◽  
Bahar Shahidi ◽  
Callan Parra ◽  
...  
Keyword(s):  
Multiparametric Mri ◽  
Muscle Size ◽  
Lumbar Muscle

Accuracy and Interobserver Agreement for Prostate Imaging Reporting and Data System, Version 2, for the Characterization of Lesions Identified on Multiparametric MRI of the Prostate

2017 ◽  
Vol 209 (2) ◽  
pp. 339-349 ◽  
Author(s):  
Andrei S. Purysko ◽  
Leonardo K. Bittencourt ◽  
Jennifer A. Bullen ◽  
Thomaz R. Mostardeiro ◽  
Brian R. Herts ◽  
...  
Keyword(s):  
Interobserver Agreement ◽  
Multiparametric Mri ◽  
Data System ◽  
Prostate Imaging

Is perfect the enemy of good? Weighing the evidence for biparametric MRI in prostate cancer

2021 ◽  
Author(s):  
Alexander P Cole ◽  
Bjoern J. Langbein ◽  
Francesco Giganti ◽  
Fiona M. Fennessy ◽  
Clare M. Tempany ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Multiparametric Mri ◽  
Benefit Analysis ◽  
Advantages And Disadvantages ◽  
Contrast Enhanced ◽  
Clinically Significant

The role of multiparametric MRI in diagnosis, staging and treatment planning for prostate cancer is well established. However there remain several challenges to widespread adoption. One such challenge is the duration and cost the examination. Abbreviated exams omitting contrast enhanced sequences may help address this challenge. In this review, we will discuss the rationale for biparametric MRI (bpMRI) for detection and characterization of clinically significant prostate cancer prior to biopsy and synthesize the published literature. We will weigh up the advantages and disadvantages to this approach and lay out a conceptual cost/benefit analysis regarding adoption of bpMRI.

scholarly journals Multiparametric MRI for Localized Prostate Cancer: Lesion Detection and Staging

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Daniel J. A. Margolis
Keyword(s):  
Prostate Cancer ◽  
Functional Imaging ◽  
Systematic Approach ◽  
Multiparametric Mri ◽  
Lesion Detection ◽  
Prostate Capsule ◽  
Identification And Characterization ◽  
Cancer Lesion

Multiparametric MRI of the prostate combines high-resolution anatomic imaging with functional imaging of alterations in normal tissue caused by neoplastic transformation for the identification and characterization ofin situprostate cancer. Lesion detection relies on a systematic approach to the analysis of both anatomic and functional imaging using established criteria for the delineation of suspicious areas. Staging includes visual and functional analysis of the prostate “capsule” to determine ifin situdisease is, in fact, organ-confined, as well as the evaluation of pelvic structures including lymph nodes and bones for the detection of metastasis. Although intertwined, the protocol can be optimized depending on whether lesiondetectionorstagingis of the highest priority.

scholarly journals Advanced MR techniques in glioblastoma imaging—upcoming challenges and how to face them

2021 ◽  
Author(s):  
Timo A. Auer
Keyword(s):  
Therapy Monitoring ◽  
Multiparametric Mri ◽  
Imaging Biomarkers ◽  
Molecular Profile ◽  
Key Points ◽  
The Central Nervous System ◽  
Classification Of Tumors ◽  
Noninvasive Characterization

Key Points• The management of gliomas has changed dramatically since the presentation of the revised WHO Classification of Tumors of the Central Nervous System in 2016 emphasizing the tumor heterogeneity based on their molecular profile.• The need for a more noninvasive characterization of glioblastomas (GBM) by establishing reliable imaging biomarkers to predict patient outcome and improve therapy monitoring is bigger than ever.• Multiparametric MRI, including promising newer techniques like electrical property tomography and mapping, may have the potential to provide enough information for intelligent imaging postprocessing algorithms to face the challenge by decoding GBM heterogeneity noninvasively.

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