نتایج جستجو برای: Musculoskeletal abnormality

تعداد نتایج: 176418  

2002
Morton A. Kapusta

T here are a number of reasons for rheumatological consultations. Four of the most common causes, in the author’s experience, are due to misunderstandings. These misunderstandings are: (1) the patient’s understanding of the term “back,” needn’t be medically accurate; (2) acute gout shouldn’t be treated by correcting the underlying metabolic abnormality; (3) rheumatic distress needn’t be due to ...

  Background: Postural structure abnormalities have been highly prevalent among children in primary school children.The present study aimed to assess the relationship between the backpacks weight and method of carrying with postural structure disturbances in primary school children.   Materials and Methods: This cross-sectional study was performed on 472 primary school children in Karaj-Iran. ...

2014
Olufemi R. Ayeni Kevin Chan Daniel B. Whelan Rajiv Gandhi Dale Williams Srinivasan Harish Hema Choudur Mary M. Chiavaras Jon Karlsson Mohit Bhandari

Methods: Six physicians (3 orthopaedic surgeons, 3 musculoskeletal radiologists) independently evaluated a broad spectrum of FAI pathologies across 51 hip radiographs on 2 occasions separated by at least 4 weeks. Reviewers used 8 common criteria to diagnose FAI, including (1) pistol-grip deformity, (2) size of alpha angle, (3) femoral head-neck offset, (4) posterior wall sign abnormality, (5) i...

Journal: :Seminars in musculoskeletal radiology 2005
Jon A Jacobson

In the diagnosis of musculoskeletal disorders, there are several applications where both ultrasound and magnetic resonance imaging (MRI) may be considered viable alternatives. Because there are advantages and disadvantages to each imaging method, often it is unclear which should be considered for a specific indication. This article reviews this topic in the following manner. First, musculoskele...

2017
Pranav Rajpurkar Jeremy Irvin Aarti Bagul Daisy Ding Tony Duan Hershel Mehta Brandon Yang Kaylie Zhu Dillon Laird Robyn L. Ball Curtis Langlotz Katie Shpanskaya Matthew P. Lungren Andrew Ng

We introduce MURA, a large dataset of musculoskeletal radiographs containing 40,895 images from 14,982 studies, where each study is manually labeled by radiologists as either normal or abnormal. On this dataset, we train a 169-layer densely connected convolutional network to detect and localize abnormalities. To evaluate our model robustly and to get an estimate of radiologist performance, we c...

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