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کاربرد نوع شرط:
- جایگاه : پژوهشی
- مجله: Archives of Bone and Joint Surgery
- نوع مقاله: Journal Article
- کلمات کلیدی: Femur,Bone nailing,Intramedullary fracture fixation,Malunited fracture
- چکیده:
- چکیده انگلیسی: Background: Femoral shaft fractures are an incapacitating pediatric injury accounting for 1.6% of all pediatric bony
injuries. Management of these fractures is largely directed by age, fracture pattern, associated injuries, built of the child
and socioeconomic status of the family. We retrospectively evaluated the use of elastic stable intramedullary nail (ESIN)
in surgical management of femoral shaft fractures in children and its complications.
Methods: Fifty two children were treated with titanium elastic nails (TEN) from June 2009 to June 2014 at our
institution. At the end of the study there were 48 children. Fractures were classified according to Winquest and
Hansen’s as Grade I (n=32), Grade II (n=10), Grade III (n=6) and compound fractures by Gustilo and Anderson’s
classification, Grade I (n=5), Grade II (n=3 ). There were 36 mid-shaft fractures, 7 proximal third shaft fractures, 5
distal third shaft fractures. The final results were clinically evaluated by using Flynn’s criteria and radiologically by
Anthony et al’s criteria.
Results: The mean duration of follow-up was 20 months (range 12 – 40 months). All fractures healed radiologically
with grade III callus formation at 9 – 12 weeks (mean 9.7 weeks). The results were analyzed using Flynn’s criteria
and were excellent in 40 children (83%) and satisfactory in 8 children (17%). The soft tissue discomfort near the knee
produced by nail ends was the most common problem in our study (25%). Other complications include limb shortening
(n=5), Varus malunion (n=4), Nail protruding site infection (n=4) and nail migration (n=2). There was no delayed union,
non-union or refractures.
Conclusion: TEN is minimally invasive, safe, relatively easy to use and an effective treatment for fracture shaft of
femur in properly selected children.- انتشار مقاله: 11-05-1395
- نویسندگان: Rajesh Govindasamy,Ramkumar Gnanasundaram,Saravanan Kasirajan,Syed Ibrahim,Jimmy Mellepuram
- مشاهده
- جایگاه : پژوهشی
- مجله: Asian Pacific Journal of Cancer Prevention
- نوع مقاله: Journal Article
- کلمات کلیدی: Osteoporosis,osteopenia,DWT (Discrete Wavelet Transform),GLCM (Gray-Level Co-occurrence Matrix),MSVM (Multi-class Support Vector Machine)
- چکیده:
- چکیده انگلیسی: A novel approach has been proposed to classify bone disorders for classifying the radiographic bone image as
normal, Osteopenia and Osteoporosis. The proposed system consists of three major stages to predict the accurate bone
disorder classification. In the first stage, image preprocessing is performed where bilateral filtering is applied to remove
noise and to enhance the image quality. Then, the image is fed to Otsu based segmentation approach for segmenting
the abnormal area of the bone image. In the second stage, Discrete Wavelet Transform (DWT) is used to the segmented
image. Once the image gets segmented then, the Gray-Level Co-occurrence Matrix (GLCM) method is applied to extract
the features in terms of statistical texture-based. Further the image which is applied to Principle Component Analysis
(PCA) to reduce size of the feature vector. Besides, Bone Mineral Density (BMD) feature namely calcium volume is
estimated from abnormal region in the segmented bone image and it is concatenated with the extracted texture features
to obtain the final feature vectors. In the final stage, the Multi-class Support Vector Machine (MSVM) takes feature
vectors as a inputto classify bone disorders. The simulation result demonstrates that the proposed system achieved the
accuracy of 95.1% and sensitivity of 96.15%.- انتشار مقاله: 06-02-1397
- نویسندگان: Ramkumar S,Malathi R
- مشاهده