2.Sonographic Findings of Common Musculoskeletal Diseases in Patients with Diabetes Mellitus.
Minho PARK ; Ji Seon PARK ; Sung Eun AHN ; Kyung Nam RYU ; So Young PARK ; Wook JIN
Korean Journal of Radiology 2016;17(2):245-254
Diabetes mellitus (DM) can accompany many musculoskeletal (MSK) diseases. It is difficult to distinguish the DM-related MSK diseases based on clinical symptoms alone. Sonography is frequently used as a first imaging study for these MSK symptoms and is helpful to differentiate the various DM-related MSK diseases. This pictorial essay focuses on sonographic findings of various MSK diseases that can occur in diabetic patients.
Adult
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Cellulitis/ultrasonography
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Diabetes Mellitus, Type 2/*complications
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Diabetic Neuropathies/ultrasonography
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Female
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Humans
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Male
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Musculoskeletal Diseases/complications/*diagnosis/ultrasonography
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Pyomyositis/microbiology/ultrasonography
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Tenosynovitis/microbiology/ultrasonography
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Vascular Diseases/ultrasonography
3.Clinical Findings of Asymptomatic Carpal Tunnel Syndrome in Patients With Diabetes Mellitus.
Hye Young HAN ; Ha Min KIM ; So Young PARK ; Min Wook KIM ; Jae Min KIM ; Dae Hyun JANG
Annals of Rehabilitation Medicine 2016;40(3):489-495
OBJECTIVE: To evaluate the clinical differences between patients with diabetes mellitus (DM) who have asymptomatic carpal tunnel syndrome (CTS) and those who have symptomatic CTS. METHODS: Sixty-three patients with DM were assessed using the Boston Carpal Tunnel Questionnaire (BCTQ), nerve conduction studies (NCS), and ultrasonographic evaluation of the cross-sectional area (CSA) of the median nerve. According to the BCTQ responses and NCS results, the patients were divided into the following three groups: group 1 (n=16), in which NCS results did not reveal CTS; group 2 (n=19), in which NCS results revealed CTS but the group scored 0 points on the BCTQ (asymptomatic); and group 3 (n=28), in which NCS results revealed CTS and the group scored >1 point on the BCTQ (symptomatic). The clinical findings, NCS results, and CSA of the median nerve were compared among the three groups. RESULTS: There were no significant differences in age, DM duration, glycated hemoglobin levels, and presence of diabetic polyneuropathy among the three groups. The peak latency of the median sensory nerve action potential was significantly shorter in group 1 than in groups 2 and 3 (p<0.001); however, no difference was observed between groups 2 and 3. CSA of the median nerve at the carpal tunnel in group 2 was significantly larger than that in group 1 and smaller than that in group 3 (p<0.05). CONCLUSION: The results of our study suggest that the symptoms of CTS in patients with diabetes are related to CSA of the median nerve, which is consistent with swelling of the nerve.
Action Potentials
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Asymptomatic Diseases
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Carpal Tunnel Syndrome*
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Diabetes Mellitus*
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Diabetic Neuropathies
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Hemoglobin A, Glycosylated
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Humans
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Median Nerve
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Neural Conduction
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Ultrasonography
4.Relationship of Vascular Factors on Electrophysiologic Severity of Diabetic Neuropathy.
Jeong Won HWANG ; Sung Bom PYUN ; Hee Kyu KWON
Annals of Rehabilitation Medicine 2016;40(1):56-65
OBJECTIVE: To investigate the impact of vascular factors on the electrophysiologic severity of diabetic neuropathy (DPN). METHODS: Total 530 patients with type 2 diabetes were enrolled retrospectively. We rated severity of DPN from 1 (normal) to 4 (severe) based on electrophysiologic findings. We collected the data concerning vascular factors (including brachial-ankle pulse wave velocity [PWV], ankle brachial index, ultrasound of carotid artery, lipid profile from the blood test, and microalbuminuria [MU] within 24 hours urine), and metabolic factors of diabetes (such as glycated hemoglobin [HbA1c]). We analyzed the differences among the four subgroups using χ2 test and ANOVA, and ordinal logistic regression analysis was performed to investigate the relationship between significant variables and severity of DPN. RESULTS: The severity of DPN was significantly associated with duration of diabetes, HbA1c, existence of diabetic retinopathy and nephropathy, PWV, presence of plaque, low density lipoprotein-cholesterol and MU (p<0.05). Among these variables, HbA1c and presence of plaque were more significantly related with severity of DPN in logistic regression analysis (p<0.001), and presence of plaque showed the highest odds ratio (OR=2.52). CONCLUSION: Our results suggest that markers for vascular wall properties, such as PWV and presence of plaque, are significantly associated with the severity of DPN. The presence of plaque was more strongly associated with the severity of DPN than other variables.
Ankle Brachial Index
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Carotid Arteries
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Carotid Stenosis
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Diabetic Angiopathies
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Diabetic Neuropathies*
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Diabetic Retinopathy
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Electromyography
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Hematologic Tests
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Hemoglobin A, Glycosylated
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Humans
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Logistic Models
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Odds Ratio
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Pulse Wave Analysis
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Retrospective Studies
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Ultrasonography
5.The Effect of Peripheral Vascular Disease on Diabetic Neuropathy.
Geun Young PARK ; Joo Hyun PARK ; So Eui LEE ; Hyun Kyu KANG ; Myung Eun CHUNG ; Nam Seok SEONG
Journal of the Korean Academy of Rehabilitation Medicine 2006;30(1):25-32
OBJECTIVE: To evaluate the effect of peripheral vascular disease (PVD) on diabetic neuropathy with the use of Doppler ultrasound and electrodiagnostic study. METHOD: One hundred fifty one patients with diabetes mellitus underwent nerve conduction studies. PVD was diagnosed when ankle-brachial index (ABI) was 0.9 and less and also toe-brachial index (TBI) was 0.7 and less. Electrophysiologically normal group was subdivided into non- PVD group (A1) and PVD group (A2). Diabetic neuropathy group was subdivided into non-PVD group (B1) and PVD group (B2). The frequency of diabetic neuropathy and the difference of amplitude, conduction velocity, and F wave latency within A groups and B groups were investigated. RESULTS: Diabetic neuropathy was significantly correlated with PVD (p<0.05). There was no definite difference of electrophysiologic parameters between A1 and A2 groups. B1 group showed significantly reduced amplitude of sensory nerve action potential (SNAP) in sural nerve compared with B2 group (p<0.05). In all patients, the amplitude of SNAP in sural nerve was related with duration of diabetes and TBI by multiple linear regression analysis. CONCLUSION: This study supports the influence of PVD on diabetic neuropathy and suggests vascular abnormality in patients with diabetic neuropathy may result in predominantly axonal injury rather than demyelinating injury.
Action Potentials
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Ankle Brachial Index
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Axons
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Diabetes Mellitus
;
Diabetic Neuropathies*
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Humans
;
Linear Models
;
Neural Conduction
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Peripheral Vascular Diseases*
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Sural Nerve
;
Ultrasonography