scholarly journals Comparison between nerve conduction study and high-resolution ultrasonography with color doppler in type 1 and type 2 Leprosy reactions

2021 ◽  
Author(s):  
J. Akita ◽  
L.H.G Miller ◽  
F.M.C. Mello ◽  
J.A. Barreto ◽  
A.L. Moreira ◽  
...  
Keyword(s):  
High Resolution ◽  
Nerve Conduction Study ◽  
Nerve Conduction ◽  
Color Doppler ◽  
Leprosy Reactions ◽  
High Resolution Ultrasonography

TUO03 High resolution ultrasonography or nerve conduction for those referred with possible CTS?

2008 ◽  
Vol 119 ◽  
pp. S12-S13
Author(s):  
Daina Pastare ◽  
Eileen Lee ◽  
Therimadasamy Aravinda ◽  
Einar Wilder-Smith
Keyword(s):  
High Resolution ◽  
Nerve Conduction ◽  
High Resolution Ultrasonography

Preoperative magnetic resonance imaging in Type 2 trigeminal neuralgia

2010 ◽  
Vol 113 (3) ◽  
pp. 511-515 ◽  
Author(s):  
Andrew C. Zacest ◽  
Stephen T. Magill ◽  
Jonathan Miller ◽  
Kim J. Burchiel
Keyword(s):  
High Resolution ◽  
Mr Imaging ◽  
Facial Pain ◽  
Neurovascular Compression ◽  
Imaging Reconstruction ◽  
Group A ◽  
Group B ◽  
3D Mr Imaging

Object Trigeminal neuralgia (TN) is a neuropathic pain syndrome that is often associated with neurovascular compression of the trigeminal nerve and may be effectively treated with microvascular decompression (MVD). The authors used high-resolution MR imaging with 3D reconstruction in patients with constant facial pain (Type 2 TN) to determine the presence/absence of neurovascular compression and thus a potential MVD benefit. They retrospectively contacted patients to evaluate outcome. Methods All patients who reported spontaneous onset of constant facial pain (Type 2 TN), which occurred at least 50% of the time, who had undergone high-resolution 3-T MR imaging with 3D reconstruction were retrospectively selected for this study. Clinical history, facial pain questionnaire data, physical examination findings, and results from 3-T 3D MR imaging reconstruction were recorded for all patients. Intraoperative findings and clinical pain outcome were recorded for all patients who underwent MVD. Results Data obtained in 27 patients were assessed. On the basis of history and 3D MR imaging reconstruction findings, 13 patients were selected for MVD (Group A) and 14 underwent conservative treatment (Group B). Typical or suspected artery- or vein-induced neurovascular compression was predicted preoperatively in 100% of Group A patients and in 0% of Group B patients. At the time of MVD, definitive neurovascular compression was confirmed in 11 (84.6%) of 13 Group A patients. Following MVD, facial pain was completely relieved in 3 (23%), improved in 7 (53.8%), and no better in 3 (23%) of 13 Group A patients. A history of episodic (Type 1 TN) pain at any time was reported in 100 and 50% of Group A and Group B patients, respectively. A Type 1 TN pain component was reportedly improved/relieved in all Group A patients, but the Type 2 TN pain component was improved in only 7 (53.8%) of 13 patients. The mean postoperative follow-up duration was 13 months. Conclusions High-resolution 3D MR imaging reconstruction in patients with constant facial pain (Type 2 TN) can help determine the presence/absence of neurovascular compression. Surgical selection based on both clinical and radiological criteria has the potential to improve surgical outcome in patients with Type 2 TN who may potentially benefit from MVD. However, even in such selected patients, pain relief is likely to be incomplete.

scholarly journals High resolution ultrasound, nerve conduction study, and other non-invasive investigations in leprosy

2021 ◽  
Vol 0 ◽  
pp. 1-7
Author(s):  
M. U. Indu Krishnan ◽  
Kunjumani Sobhanakumari ◽  
Predesh Jose ◽  
NP Amitha ◽  
Keerthi Joy Irimpan
Keyword(s):  
High Resolution ◽  
Nerve Conduction Study ◽  
Nerve Conduction ◽  
Mycobacterium Leprae ◽  
Clinical Form ◽  
Non Invasive ◽  
The World ◽  
Infectious Condition

Leprosy is a chronic infectious condition caused by Mycobacterium leprae and is endemic in many regions of the world. The diagnosis of this condition is usually clinical except in some situations where investigations are necessary to confirm the diagnosis of leprosy or classify its clinical form. Histopathology is the usual modality for conformation of diagnosis. This review focuses mainly on high resolution ultrasound, nerve conduction study, and other non-invasive investigations in leprosy.

scholarly journals Leprosy Reactions: Clinical and Therapeutic Profile of Patients Registered at a Dermatology Reference Center in Brazil

10.3823/2534 ◽  
2017 ◽  
Vol 10 ◽  
Author(s):  
Danielle Oliveira De Sousa ◽  
Karolyne Moura Rique De Oliveira ◽  
Deborah Marques Centeno ◽  
Carolina Ribeiro Mainardi ◽  
Jean Carlos Alves de Lima Souza ◽  
...  
Keyword(s):  
Metropolitan Region ◽  
Multidrug Therapy ◽  
Inclusion Criteria ◽  
Neural Damage ◽  
Leprosy Reactions ◽  
Protective Sensation ◽  
The City ◽  
Therapeutic Profile

Introduction: During the course of leprosy, 10 to 50% of individuals can be surprised by reaction states, which are immune system reactions of the patient to Mycobacterium leprae. Leprosy reactions constitute the main cause of nerve damage and disability caused by leprosy. Objective:To analyze the clinical and therapeutic profile of patients with leprosy reactions registered in a Dermatology Service in the city of Belém-PA. Methods:This is a cross-seccional, descriptive study. It was investigated through analysis of medical records, 52 patients who fit the established inclusion criteria. Data were collected in july and august 2016. Results: It was found a predominance of men, from the metropolitan region. The clinical form most common of Leprosy was Borderline, and the leprosy reaction type 1. The most of reactions occurred right after the introduction of multidrug therapy,and more than a half of patients with type 1 reaction showed edema of limbs. Regarding the type 2, fever and general symptoms were the most common, present in all cases. The frequency of neural damage was evident, showing reduction of motor force level andloss of protective sensation. Conclusion: Early diagnosis and appropriate therapeutic management of reactive events is critical to the prevention of disabilities.

scholarly journals INTERVAL TYPE-2 FUZZY BASED NEURAL NETWORK FOR HIGH RESOLUTION REMOTE SENSING IMAGE SEGMENTATION

2016 ◽  
Vol XLI-B7 ◽  
pp. 385-391 ◽  
Author(s):  
Chunyan Wang ◽  
Aigong Xu ◽  
Chao Li ◽  
Xuemei Zhao
Keyword(s):  
Remote Sensing ◽  
Image Segmentation ◽  
High Resolution ◽  
Fuzzy Model ◽  
Remote Sensing Image ◽  
Fuzzy Membership ◽  
Fuzzy Membership Functions ◽  
Interval Type

Recently, high resolution remote sensing image segmentation is a hot issue in image procesing procedures. However, it is a difficult task. The difficulties derive from the uncertainties of pixel segmentation and decision-making model. To this end, we take spatial relationship into consideration when constructing the interval type-2 fuzzy neural networks for high resolution remote sensing image segmentation. First, the proposed algorithm constructs a Gaussian model as a type-1 fuzzy model to describe the uncertainty contained in the image. Second, interval type-2 fuzzy model is obtained by blurring the mean and variance in type-1 model. The proposed interval type-2 model can strengthen the expression of uncertainty and simultaneously decrease the uncertainty in the decision model. Then the fuzzy membership function itself and its upper and lower fuzzy membership functions of the training samples are used as the input of neuron network which acts as the decision model in proposed algorithm. Finally, the relationship of neighbour pixels is taken into consideration and the fuzzy membership functions of the detected pixel and its neighbourhood are used to decide the class of each pixel to get the final segmentation result. The proposed algorithm, FCM and HMRF-FCM algorithm and an interval type-2 fuzzy neuron networks without spatial relationships are performed on synthetic and real high resolution remote sensing images. The qualitative and quantitative analyses demonstrate the efficient of the proposed algorithm, especially for homogeneous regions which contains a great difference in its gray level (for example forest).

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