scholarly journals Magnetization transfer ratio: a quantitative imaging biomarker for 5q spinal muscular atrophy

2020 ◽  
Vol 28 (1) ◽  
pp. 331-340
Author(s):  
J. Kollmer ◽  
T. Kessler ◽  
G. Sam ◽  
J. M. Hayes ◽  
S. I. Lentz ◽  
...  
Keyword(s):  
Spinal Muscular Atrophy ◽  
Muscular Atrophy ◽  
Magnetization Transfer ◽  
Quantitative Imaging ◽  
Imaging Biomarker ◽  
Magnetization Transfer Ratio ◽  
Transfer Ratio ◽  
Quantitative Imaging Biomarker

Importance of incorporating quantitative imaging biomarker technical performance characteristics when estimating treatment effects

2021 ◽  
pp. 174077452098193
Author(s):  
Nancy A Obuchowski ◽  
Erick M Remer ◽  
Ken Sakaie ◽  
Erika Schneider ◽  
Robert J Fox ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Confidence Intervals ◽  
Treatment Effect ◽  
Quantitative Imaging ◽  
Imaging Biomarker ◽  
Imaging Biomarkers ◽  
Measurement Bias ◽  
Technical Performance ◽  
Quantitative Imaging Biomarker ◽  
Performance Validation

Background/aims Quantitative imaging biomarkers have the potential to detect change in disease early and noninvasively, providing information about the diagnosis and prognosis of a patient, aiding in monitoring disease, and informing when therapy is effective. In clinical trials testing new therapies, there has been a tendency to ignore the variability and bias in quantitative imaging biomarker measurements. Unfortunately, this can lead to underpowered studies and incorrect estimates of the treatment effect. We illustrate the problem when non-constant measurement bias is ignored and show how treatment effect estimates can be corrected. Methods Monte Carlo simulation was used to assess the coverage of 95% confidence intervals for the treatment effect when non-constant bias is ignored versus when the bias is corrected for. Three examples are presented to illustrate the methods: doubling times of lung nodules, rates of change in brain atrophy in progressive multiple sclerosis clinical trials, and changes in proton-density fat fraction in trials for patients with nonalcoholic fatty liver disease. Results Incorrectly assuming that the measurement bias is constant leads to 95% confidence intervals for the treatment effect with reduced coverage (<95%); the coverage is especially reduced when the quantitative imaging biomarker measurements have good precision and/or there is a large treatment effect. Estimates of the measurement bias from technical performance validation studies can be used to correct the confidence intervals for the treatment effect. Conclusion Technical performance validation studies of quantitative imaging biomarkers are needed to supplement clinical trial data to provide unbiased estimates of the treatment effect.

A fast B1-mapping method for the correction and normalization of magnetization transfer ratio maps at 3 T

NeuroImage ◽  
2010 ◽  
Vol 49 (4) ◽  
pp. 3015-3026 ◽  
Author(s):  
Steffen Volz ◽  
Ulrike Nöth ◽  
Anna Rotarska-Jagiela ◽  
Ralf Deichmann
Keyword(s):  
Magnetization Transfer ◽  
Mapping Method ◽  
Magnetization Transfer Ratio ◽  
Transfer Ratio ◽  
B1 Mapping

Cervical cord magnetization transfer ratio and clinical changes over 18 months in patients with relapsing-remitting multiple sclerosis: a preliminary study

2006 ◽  
Vol 12 (5) ◽  
pp. 662-665 ◽  
Author(s):  
A Charil ◽  
D Caputo ◽  
R Cavarretta ◽  
M P Sormani ◽  
P Ferrante ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Relapse Rate ◽  
Magnetization Transfer ◽  
Small Sample ◽  
Cervical Cord ◽  
Magnetization Transfer Ratio ◽  
Short Term ◽  
Disease Evolution ◽  
Transfer Ratio ◽  
Relapsing Remitting

Background Magnetization transfer ratio (MTR) permits the quantitative estimation of cervical cord tissue damage in patients with multiple sclerosis (MS). Objective To determine whether a single time-point MTR scan of the cervical cord is associated with short-term disease evolution in patients with relapsing-remitting (RR) MS. Methods Using a 1.5-T magnetic resonance imaging (MRI) system with a tailored cervical cord phased array coil, fast short-tau inversion recovery (fast-STIR) and MTR scans were obtained from 14 untreated patients with RRMS at baseline. Cervical cord MTR histograms were derived. Over the 18- month follow-up period, relapse rate was measured and disability assessed by the Expanded Disability Status Scale (EDSS) score. Results Average cervical cord MTR was correlated with relapse rate ( r= -0.56, P = 0.037). A moderate correlation ( r values ranging from -0.33 to -0.36) between baseline cervical cord MTR metrics and EDSS changes over 18 months was also noted, albeit statistical significance was not reached ( P = 0.26 and 0.21, respectively) perhaps because of the relatively small sample size. Conclusions This study suggests that a ‘snapshot’ MT MRI assessment of the cervical cord may detect cervical cord tissue changes associated with short-term disease evolution in RRMS.

Measurement of magnetization transfer ratio (MTR) from cervical spinal cord: Multicenter reproducibility and variability

2018 ◽  
Vol 49 (6) ◽  
pp. 1777-1785 ◽  
Author(s):  
Benoit Combès ◽  
Laureline Monteau ◽  
Elise Bannier ◽  
Virginie Callot ◽  
Pierre Labauge ◽  
...  
Keyword(s):  
Spinal Cord ◽  
Cervical Spinal Cord ◽  
Magnetization Transfer ◽  
Magnetization Transfer Ratio ◽  
Transfer Ratio

scholarly journals Linearity and Bias of Proton Density Fat Fraction as a Quantitative Imaging Biomarker: A Multicenter, Multiplatform, Multivendor Phantom Study

Radiology ◽  
2021 ◽  
Vol 298 (3) ◽  
pp. 640-651
Author(s):  
Houchun H. Hu ◽  
Takeshi Yokoo ◽  
Mustafa R. Bashir ◽  
Claude B. Sirlin ◽  
Diego Hernando ◽  
...  
Keyword(s):  
Quantitative Imaging ◽  
Phantom Study ◽  
Imaging Biomarker ◽  
Proton Density ◽  
Proton Density Fat Fraction ◽  
Quantitative Imaging Biomarker ◽  
Fat Fraction

Virtual skin biopsy by optical coherence tomography: the first quantitative imaging biomarker for scleroderma

2013 ◽  
Vol 72 (11) ◽  
pp. 1845-1851 ◽  
Author(s):  
Giuseppina Abignano ◽  
Sibel Zehra Aydin ◽  
Concepción Castillo-Gallego ◽  
Vasiliki Liakouli ◽  
Daniel Woods ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Skin Biopsy ◽  
Quantitative Imaging ◽  
Imaging Biomarker ◽  
Optical Coherence ◽  
Quantitative Imaging Biomarker

Magnetization Transfer Ratio in Peripheral Nerve Tissue

2018 ◽  
Vol 53 (7) ◽  
pp. 397-402 ◽  
Author(s):  
Jennifer Kollmer ◽  
Thorsten Kästel ◽  
Johann M.E. Jende ◽  
Martin Bendszus ◽  
Sabine Heiland
Keyword(s):  
Peripheral Nerve ◽  
Magnetization Transfer ◽  
Nerve Tissue ◽  
Magnetization Transfer Ratio ◽  
Transfer Ratio

Improvement of magnetization transfer ratio in new gadolinium-enhanced lesions detected before and during therapy with interferon-β-1a

2010 ◽  
Author(s):  
Mariko Kita ◽  
Donald E Goodkin ◽  
Peter Bacchetti ◽  
Emmanuelle Waubant ◽  
Sarah J Nelson ◽  
...  
Keyword(s):  
Magnetization Transfer ◽  
Magnetization Transfer Ratio ◽  
Interferon Β ◽  
Transfer Ratio

scholarly journals Magnetization transfer ratio quantifies polyneuropathy in hereditary transthyretin amyloidosis

2020 ◽  
Vol 7 (5) ◽  
pp. 799-807 ◽  
Author(s):  
Jennifer Kollmer ◽  
Ute Hegenbart ◽  
Christoph Kimmich ◽  
Ernst Hund ◽  
Jan C. Purrucker ◽  
...  
Keyword(s):  
Magnetization Transfer ◽  
Magnetization Transfer Ratio ◽  
Transthyretin Amyloidosis ◽  
Transfer Ratio ◽  
Hereditary Transthyretin Amyloidosis
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