Ultrasound elastography in the evaluation of peripheral neuropathies: a systematic review of the literature

Zakrzewski, Jakub; Zakrzewska, K.; Pluta, Katarzyna; Nowak, Oleg; Miłoszewska-Paluch, Anna

doi:10.5114/pjr.2019.91439

Cited by 38 publications

(32 citation statements)

References 66 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In addition to shorter acquisition time and less discomfort, advantages of ultrasound include wide availability, cheap price, and non-invasive nature. [ 1 – 3 ] Conventional ultrasound can quantify cross sectional area (CSA) of the peripheral nerves and can also detect some morphological changes like alteration in the nerve echogenicity. [ 1 , 4 ] Conventional ultrasound was reported to be of great benefit in the diagnosis of different acquired and hereditary neuropathies.…”

Section: Introductionmentioning

confidence: 99%

Shear wave elastography of the tibial nerve in healthy subjects

Bedewi¹,

Elsifey²,

Alfaifi³

et al. 2021

Medicine

View full text Add to dashboard Cite

The purpose of this study is to investigate sonoelastographic features of the tibial nerve. The study included 72 tibial nerves in 36 healthy subjects. High resolution ultrasound and Shear wave elastography were used to evaluate the tibial nerve. Cross sectional area and stiffness were measured. The mean cross sectional area of the tibial nerve was 13.4 mm2. The mean shear elastic modulus of the tibial nerve in the short axis was 23.3 kPa. The mean shear elastic modulus of the tibial nerve in long axis was 26.1 kPa. The tibial nerve elastic modulus also showed no correlation with cross sectional area neither in the long axis nor short axis. Age, height, weight, and body mass index showed no correlation with tibial nerve elastic modulus in short or long axes. The elastic modulus of the tibial nerve has been determined in healthy subjects and can serve as a reference for future assessment of polyneuropathy.

show abstract

Section: Introductionmentioning

confidence: 99%

Shear wave elastography of the tibial nerve in healthy subjects

Bedewi¹,

Elsifey²,

Alfaifi³

et al. 2021

Medicine

View full text Add to dashboard Cite

show abstract

“…The commonly accepted marker for polyneuropathy is changes in corneal nerve structure from microscopy data [ 28 ]. Other methods of diagnostics are ultrasaund [ 29 ], Magnetic Resonance Imaging of nerves [ 30 ].…”

Section: Discussionmentioning

confidence: 99%

Identification of risk factors for patients with diabetes: diabetic polyneuropathy case study

Metsker

Magoev

Yakovlev

et al. 2020

BMC Med Inform Decis Mak

View full text Add to dashboard Cite

Background: Methods of data mining and analytics can be efficiently applied in medicine to develop models that use patient-specific data to predict the development of diabetic polyneuropathy. However, there is room for improvement in the accuracy of predictive models. Existing studies of diabetes polyneuropathy considered a limited number of predictors in one study to enable a comparison of efficiency of different machine learning methods with different predictors to find the most efficient one. The purpose of this study is the implementation of machine learning methods for identifying the risk of diabetes polyneuropathy based on structured electronic medical records collected in databases of medical information systems. Methods: For the purposes of our study, we developed a structured procedure for predictive modelling, which includes data extraction and preprocessing, model adjustment and performance assessment, selection of the best models and interpretation of results. The dataset contained a total number of 238,590 laboratory records. Each record 27 laboratory tests, age, gender and presence of retinopathy or nephropathy). The records included information about 5846 patients with diabetes. Diagnosis served as a source of information about the target class values for classification. Results: It was discovered that inclusion of two expressions, namely "nephropathy" and "retinopathy" allows to increase the performance, achieving up to 79.82% precision, 81.52% recall, 80.64% F1 score, 82.61% accuracy, and 89.88% AUC using the neural network classifier. Additionally, different models showed different results in terms of interpretation significance: random forest confirmed that the most important risk factor for polyneuropathy is the increased neutrophil level, meaning the presence of inflammation in the body. Linear models showed linear dependencies of the presence of polyneuropathy on blood glucose levels, which is confirmed by the clinical interpretation of the importance of blood glucose control. Conclusion: Depending on whether one needs to identify pathophysiological mechanisms for one's prospective study or identify early or late predictors, the choice of model will vary. In comparison with the previous studies, our research makes a comprehensive comparison of different decisions using a large and well-structured dataset applied to different decision support tasks.

show abstract

“…It can also be used to evaluate the mechanical properties of tissues. 5 – 9 Shear wave elastography (SWE) is one of two main types of elastography used to evaluate the neuromuscular system. In the first type (strain elastography), mild probe compression causes tissue displacement.…”

Section: Introductionmentioning

confidence: 99%

“…Major peripheral nerves such as the median, sciatic, and tibial nerves have been studied by SWE, especially in patients with peripheral neuropathy. 5 – 16 The present study was performed to examine the sonoelastographic features of the radial nerve in healthy subjects.…”

Section: Introductionmentioning

confidence: 99%

Shear wave elastography of the radial nerve in healthy subjects

et al. 2021

View full text Add to dashboard Cite

Objective This study was performed to examine the sonoelastographic features of the radial nerve in healthy subjects. Methods In this observational cross-sectional study, shear wave elastography was used to evaluate the radial nerve. The cross-sectional area and stiffness were measured. Results The study included 37 nerves in 20 healthy adult subjects. The mean cross-sectional area of the radial nerve at the arm was 6.1 mm2. The mean stiffness of the radial nerve in the short axis was 30.3 kPa, and that in the long axis was 34.9 kPa. The elasticity measurements were significantly different between the long axis and short axis. Conclusion The elastic modulus of the radial nerve was studied in healthy subjects and can serve as a reference for future assessment of different radial nerve pathologies.

show abstract

Ultrasound elastography in the evaluation of peripheral neuropathies: a systematic review of the literature

Cited by 38 publications

References 66 publications

Shear wave elastography of the tibial nerve in healthy subjects

Shear wave elastography of the tibial nerve in healthy subjects

Identification of risk factors for patients with diabetes: diabetic polyneuropathy case study

Shear wave elastography of the radial nerve in healthy subjects

Contact Info

Product

Resources

About