scholarly journals Quantitative MR-derived biomarkers as predictors of function and histotype in adenohypophyseal tumours

2021 ◽  
Author(s):  
Daniel Lewis ◽  
Federico Roncaroli ◽  
Tara Kearney ◽  
David John Coope ◽  
Kanna Gnanalingham
Keyword(s):  
Quantitative Mr

Quantitative MR-Bildgebung zur Charakterisierung der Skelettmuskulatur

2020 ◽  
Vol 29 (02) ◽  
pp. 132-142
Author(s):  
Klaus Engelke ◽  
Oliver Chaudry ◽  
Armin Nagel
Keyword(s):  
Lean Mass ◽  
Quantitative Mr

ZusammenfassungDieser Beitrag gibt einen Überblick über Magnetresonanztomographie-basierte (MRT-basierte) Methoden zur Quantifizierung der Muskeldegeneration. Neben Muskelvolumen kann mit Dixon-Bildgebung insbesondere der prozentuale Fettgehalt bestimmt werden. Daneben gibt es Ansätze, frühe Anzeichen einer Degeneration über die Verteilung des Entzündungsgrades oder der Natriumkonzentration in der Muskulatur zu visualisieren und quantifizieren. Bis auf die Natrium-Bildgebung werden diese Methoden bei Muskelerkrankungen routinemäßig zur Diagnose und Verlaufskontrolle eingesetzt.Im Bereich der Osteologie und Gerontologie wird zwar die Bedeutung der Muskel-Knochen-Einheit unter anderem für Frakturprädiktion und Gebrechlichkeit im Alter immer wieder betont, Degeneration der Muskulatur wird aber im Wesentlichen über extrinsische Parameter wie Muskelkraft und -funktion erfasst. Häufig benutzte intrinsische Parameter wie DXA Lean Mass oder Muskelvolumen, bestimmt mit CT oder MRT, korrelieren nur mäßig mit extrinsischen Parametern. Eine genauere Charakterisierung von Muskelqualität sollte dieses Manko aber beseitigen. Mit CT und MRT stehen entsprechende Methoden zur Verfügung, die jetzt aber in Studien zur altersassoziierten Muskeldegeneration, in Interventionsstudien und in Studien zur Frakturrisikoprognostik auch eingesetzt werden müssen.

scholarly journals Differentiating PSP from MSA using MR planimetric measurements: a systematic review and meta-analysis

2021 ◽  
Author(s):  
Beatrice Heim ◽  
Florian Krismer ◽  
Klaus Seppi
Keyword(s):  
Sensitivity And Specificity ◽  
Meta Analysis ◽  
Risk Of Bias ◽  
Index Test ◽  
Study Quality ◽  
Parkinsonian Syndromes ◽  
Quantitative Mr ◽  
Meta Analyses ◽  
Planimetric Measurements

AbstractDifferential diagnosis of parkinsonian syndromes is considered one of the most challenging in neurology. Quantitative MR planimetric measurements were reported to discriminate between progressive supranuclear palsy (PSP) and non-PSP-parkinsonism. Several studies have used midbrain to pons ratio (M/P) and the Magnetic Resonance Parkinsonism Index (MRPI) in distinguishing PSP patients from those with Parkinson's disease. The current meta-analysis aimed to compare the performance of these measures in discriminating PSP from multiple system atrophy (MSA). A systematic MEDLINE review identified 59 out of 2984 studies allowing a calculation of sensitivity and specificity using the MRPI or M/P. Meta-analyses of results were carried out using random effects modelling. To assess study quality and risk of bias, the QUADAS-2 tool was used. Eight studies were suitable for analysis. The meta‐analysis showed a pooled sensitivity and specificity for the MRPI of PSP versus MSA of 79.2% (95% CI 72.7–84.4%) and 91.2% (95% CI 79.5–96.5%), and 84.1% (95% CI 77.2–89.2%) and 89.2% (95% CI 81.8–93.8%), respectively, for the M/P. The QUADAS-2 toolbox revealed a high risk of bias regarding the methodological quality of patient selection and index test, as all patients were seen in a specialized outpatient department without avoiding case control design and no predefined threshold was given regarding MRPI or M/P cut-offs. Planimetric brainstem measurements, in special the MRPI and M/P, yield high diagnostic accuracy for the discrimination of PSP from MSA. However, there is an urgent need for well-designed, prospective validation studies to ameliorate the concerns regarding the risk of bias.

scholarly journals Quantitative MR imaging using “LiveWire” to measure tibiofemoral articular cartilage thickness

2008 ◽  
Vol 16 (10) ◽  
pp. 1167-1173 ◽  
Author(s):  
M.E. Bowers ◽  
N. Trinh ◽  
G.A. Tung ◽  
J.J. Crisco ◽  
B.B. Kimia ◽  
...  
Keyword(s):  
Articular Cartilage ◽  
Mr Imaging ◽  
Cartilage Thickness ◽  
Quantitative Mr Imaging ◽  
Quantitative Mr

Post-Implant Visualization of the Prostate Brachytherapy Seeds and Calcifications Using Quantitative MR Techniques: T2, T2* and PD Mapping

Brachytherapy ◽  
2016 ◽  
Vol 15 ◽  
pp. S183
Author(s):  
Reyhaneh Nosrati ◽  
Abraam Soliman ◽  
Nilesh Ghugre ◽  
Amir Owrangi ◽  
Shahram Mashouf ◽  
...  
Keyword(s):  
Prostate Brachytherapy ◽  
Quantitative Mr

scholarly journals Muscle Quantitative MR Imaging and Clustering Analysis in Patients with Facioscapulohumeral Muscular Dystrophy Type 1

PLoS ONE ◽  
2015 ◽  
Vol 10 (7) ◽  
pp. e0132717 ◽  
Author(s):  
Emilie Lareau-Trudel ◽  
Arnaud Le Troter ◽  
Badih Ghattas ◽  
Jean Pouget ◽  
Shahram Attarian ◽  
...  
Keyword(s):  
Muscular Dystrophy ◽  
Mr Imaging ◽  
Clustering Analysis ◽  
Facioscapulohumeral Muscular Dystrophy ◽  
Quantitative Mr Imaging ◽  
Quantitative Mr
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