scholarly journals Magnetic resonance elastography and T1 mapping for early diagnosis and classification of chronic pancreatitis

2018 ◽  
Vol 48 (3) ◽  
pp. 837-845 ◽  
Author(s):  
Min Wang ◽  
Feng Gao ◽  
Xiaoqi Wang ◽  
Yanqing Liu ◽  
Ruoyun Ji ◽  
...  
Keyword(s):  
Chronic Pancreatitis ◽  
Magnetic Resonance ◽  
Early Diagnosis ◽  
T1 Mapping ◽  
Magnetic Resonance Elastography ◽  
Diagnosis And Classification

Efficiency of Magnetic Resonance Imaging in Regional Diagnosis and Classification of Advanced Chondropathies of Knee Joint

2017 ◽  
Vol 18 (3) ◽  
pp. 169-173
Author(s):  
Abdullah Soydan Mahmutoglu ◽  
Mujdat Bankaoglu ◽  
Sukru Mehmet Erturk ◽  
Irfan Celebi ◽  
Alper Ozel ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Knee Joint ◽  
Resonance Imaging ◽  
Diagnosis And Classification

scholarly journals Multi-Omics Analysis in Initiation and Progression of Meningiomas: From Pathogenesis to Diagnosis

2020 ◽  
Vol 10 ◽  
Author(s):  
Jiachen Liu ◽  
Congcong Xia ◽  
Gaiqing Wang
Keyword(s):  
Early Diagnosis ◽  
Poor Prognosis ◽  
Scientific Basis ◽  
High Grade ◽  
Intracranial Tumors ◽  
Pathological Mechanism ◽  
Growing Body ◽  
Diagnosis And Classification ◽  
Subsequent Intervention

Meningiomas are common intracranial tumors that can be cured by surgical resection in most cases. However, the most disconcerting is high-grade meningiomas, which frequently recur despite initial successful treatment, eventually conferring poor prognosis. Therefore, the early diagnosis and classification of meningioma is necessary for the subsequent intervention and an improved prognosis. A growing body of evidence demonstrates the potential of multi-omics study (including genomics, transcriptomics, epigenomics, proteomics) for meningioma diagnosis and mechanistic links to potential pathological mechanism. This thesis addresses a neglected aspect of recent advances in the field of meningiomas at multiple omics levels, highlighting that the integration of multi-omics can reveal the mechanism of meningiomas, which provides a timely and necessary scientific basis for the treatment of meningiomas.

scholarly journals Interobserver Agreement in Magnetic Resonance of the Sacroiliac Joints in Patients with Spondyloarthritis

2017 ◽  
Vol 2017 ◽  
pp. 1-5 ◽  
Author(s):  
Juan C. Rueda ◽  
Sofia Arias-Correal ◽  
Andres Y. Vasquez ◽  
Enrique Calvo ◽  
Paola Peña ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Interobserver Agreement ◽  
Clinical Laboratory ◽  
Musculoskeletal Diseases ◽  
Sacroiliac Joints ◽  
Mri Findings ◽  
Expert Radiologist ◽  
Diagnosis And Classification ◽  
Magnetic Resonance Imaging Mri

Background. Clinical, laboratory, and radiologic parameters are used for diagnosis and classification of spondyloarthritis (SpA). Magnetic resonance imaging (MRI) of sacroiliac (SI) joints is being increasingly used to detect early sacroiliitis. We decided to evaluate the interobserver agreement in MRI findings of SI joints of SpA patients between a local radiologist, a rheumatologist, and an expert radiologist in musculoskeletal diseases. Methods. 66 MRI images of the SI joints of patients with established diagnosis of SpA were evaluated. Agreement was expressed in Cohen’s kappa. Results. Interobserver agreement between a local radiologist and an expert radiologist was fair (κ=0.37). Only acute findings showed a moderate agreement (κ=0.45), while chronic findings revealed 76.5% of disagreement (κ=0.31). A fair agreement was observed in acute findings (κ=0.38) as well as chronic findings (κ=0.38) between a local radiologist and a rheumatologist. There was a substantial agreement between an expert radiologist and a rheumatologist (κ=0.73). In acute findings, a 100% agreement was achieved. Also chronic and acute plus chronic findings showed high levels of agreement (κ=0.73 and 0.62, resp.). Conclusions. Our study shows that rheumatologists may have similar MRI interpretations of SI joints in SpA patients as an expert radiologist.

scholarly journals Diagnosis and classification of chondral knee injuries: comparison between magnetic resonance imaging and arthroscopy

2015 ◽  
Vol 24 (5) ◽  
pp. 1627-1633 ◽  
Author(s):  
Marcus Vinicius Danieli ◽  
João Paulo Fernandes Guerreiro ◽  
Alexandre deOliveira Queiroz ◽  
Hamilton daRosa Pereira ◽  
Susi Tagima ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Knee Injuries ◽  
Resonance Imaging ◽  
Diagnosis And Classification
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