Sciatic neurosteatosis: Relationship with age, gender, obesity and height

Ratner, Shayna; Khwaja, Raamis; Zhang, Lihua; Xi, Yin; Dessouky, Riham; Rubin, Craig D.; Chhabra, Avneesh

doi:10.1007/s00330-017-5087-2

Cited by 7 publications

(13 citation statements)

References 36 publications

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“…Although not clearly demonstrated by previous study, a potential relationship between obesity and the FF and CSA of peripheral nerves has been suggested. 25,34 Our statistical comparison of BMI between the patient and volunteer groups revealed no signi cant difference in our study.…”

Section: Discussioncontrasting

confidence: 44%

“…Previous studies have suggested that age and sex have a signi cant relationship with nerve FF and CSA. 15,25 Our study used data from age-and sex-matched case-control subjects, which means that our results are free from that concern. Although not clearly demonstrated by previous study, a potential relationship between obesity and the FF and CSA of peripheral nerves has been suggested.…”

Section: Discussionmentioning

confidence: 99%

“…24 The study of Ratner et al opened the possibility of applying this imaging technique to peripheral nerve structures. 25 They found Dixon-based MRI to be a reliable tool for measuring FF, mostly representing interfascicular fat, in the sciatic nerves of normal subjects. However, measuring intraepineurial FF using Dixon-based MRI in neuromuscular disorders such as CMT has not been reported to our knowledge.…”

Section: Introductionmentioning

confidence: 99%

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Intraepineurial Fat Quantification and Cross-sectional Area Analysis of the Sciatic Nerve Using MRI in Charcot-Marie-Tooth Disease Type 1A Patients

Kim

Lee

Yoon

et al. 2021

Preprint

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The objectives of this study were to assess the fat fraction (FF) and cross-sectional area (CSA) of the sciatic nerve in Charcot-Marie-Tooth disease type 1A (CMT1A) patients using Dixon-based proton density fat quantification MRI and to elucidate its potential association with clinical parameters. Thigh MRIs of 18 CMT1A patients and 18 age- and sex-matched volunteers enrolled for a previous study were reviewed. Analyses for FF and CSA of the sciatic nerve were performed at three levels (proximal to distal). CSA and FF were compared between the two groups and among the different levels within each group. The relationship between the MRI parameters and clinical data were assessed in the CMT1A patients. The CMT1A patients showed significantly higher FF at level 3 (p = 0.0217) and significantly larger CSA at all three levels compared with the control participants (p < 0.0001). Comparisons among levels showed significantly higher FF for levels 2 and 3 than for level 1 and significantly larger CSA for level 2 compared with level 1 in CMT1A patients. CSA at level 3 correlated positively with the CMT Neuropathy Score version 2 (CMTNSv2). In conclusion, the sciatic nerve FF of CMT1A patients was significantly higher on level 3 compared with both the controls and the measurements taken on more proximal levels, suggesting the possibility of increased intraepineurial fat within the sciatic nerves of CMT1A patients, with a possible distal tendency. Sciatic nerve CSA at level 3 correlated significantly and positively with CMTNSv2, suggesting its potential value as an imaging marker for clinical severity.

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Section: Discussioncontrasting

confidence: 44%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Intraepineurial Fat Quantification and Cross-sectional Area Analysis of the Sciatic Nerve Using MRI in Charcot-Marie-Tooth Disease Type 1A Patients

Kim

Lee

Yoon

et al. 2021

Preprint

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“…Such analyses might allow distinguishing between healthy nerve and diseased nerve, and peripheral neuropathy type as it has been shown by others ( 5 , 7 – 11 ). Additionally, our segmentation could serve as a volume of interest for other quantitative MR methods like diffusion-weighted imaging, magnetization transfer imaging, and relaxometry ( 3 – 8 , 10 ), which might further be applied to assess total lesion burden, distribution pattern of lesions, and multi-model characterization of lesions. However, such potential outcome measures will only find acceptance in a clinical setting, if they can be obtained in an accurate and time-efficient manner without tedious and labor-intensive manual segmentation.…”

Section: Discussionmentioning

confidence: 99%

Segmentation of Peripheral Nerves From Magnetic Resonance Neurography: A Fully-Automatic, Deep Learning-Based Approach

et al. 2018

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Diagnosis of peripheral neuropathies relies on neurological examinations, electrodiagnostic studies, and since recently magnetic resonance neurography (MRN). The aim of this study was to develop and evaluate a fully-automatic segmentation method of peripheral nerves of the thigh. T2-weighted sequences without fat suppression acquired on a 3 T MR scanner were retrospectively analyzed in 10 healthy volunteers and 42 patients suffering from clinically and electrophysiologically diagnosed sciatic neuropathy. A fully-convolutional neural network was developed to segment the MRN images into peripheral nerve and background tissues. The performance of the method was compared to manual inter-rater segmentation variability. The proposed method yielded Dice coefficients of 0.859 ± 0.061 and 0.719 ± 0.128, Hausdorff distances of 13.9 ± 26.6 and 12.4 ± 12.1 mm, and volumetric similarities of 0.930 ± 0.054 and 0.897 ± 0.109, for the healthy volunteer and patient cohorts, respectively. The complete segmentation process requires less than one second, which is a significant decrease to manual segmentation with an average duration of 19 ± 8 min. Considering cross-sectional area or signal intensity of the segmented nerves, focal and extended lesions might be detected. Such analyses could be used as biomarker for lesion burden, or serve as volume of interest for further quantitative MRN techniques. We demonstrated that fully-automatic segmentation of healthy and neuropathic sciatic nerves can be performed from standard MRN images with good accuracy and in a clinically feasible time.

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“…8 In addition, asymptomatic muscle atrophy and fatty infiltration are seen with aging, not to be confused with chronic denervation. 18 Nerves can be bifid and can demonstrate an intramuscular course as a normal variant. 19 From a functional standpoint, peripheral nerves are divided into sensory, motor, and mixed nerves.…”

Section: Tip 1: Acquire a Good Knowledge Of Neuromuscular Anatomymentioning

confidence: 99%

Top-10 Tips for Getting Started with Magnetic Resonance Neurography

Chalian

Chhabra

2019

Semin Musculoskelet Radiol

Self Cite

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Magnetic resonance neurography (MRN), also known as MR neurography, is a dedicated imaging technique for the peripheral nerves, used both in a clinical setting and research. However, like any other new diagnostic processes, there are technical, cost, and patient selection issues to overcome as well as potential imaging pitfalls to recognize before MRN can be adopted efficiently into routine clinical practice. This review focuses on the 10 most important practical tips to get started with MRN with a view to shortening the time needed for radiologists to implement this clinically useful technique into their imaging practices.

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Sciatic neurosteatosis: Relationship with age, gender, obesity and height

Cited by 7 publications

References 36 publications

Intraepineurial Fat Quantification and Cross-sectional Area Analysis of the Sciatic Nerve Using MRI in Charcot-Marie-Tooth Disease Type 1A Patients

Intraepineurial Fat Quantification and Cross-sectional Area Analysis of the Sciatic Nerve Using MRI in Charcot-Marie-Tooth Disease Type 1A Patients

Segmentation of Peripheral Nerves From Magnetic Resonance Neurography: A Fully-Automatic, Deep Learning-Based Approach

Top-10 Tips for Getting Started with Magnetic Resonance Neurography

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