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Bilateral Total Hip Arthroplasty in a Rare Case of Multicentric Reticulohistiocytosis
Balaji Saibaba,Ramesh Kumar Sen,Aman Sharma 대한정형외과학회 2015 Clinics in Orthopedic Surgery Vol.7 No.4
Multicentric reticulohistiocytosis (MRH) is a rare systemic disease, which commonly manifests as muco-cutaneous papulonodules and inflammatory erosive polyarthropathy. In this research, we report the clinical manifestations and management of a rare case of MRH with destructive arthropathy of bilateral hip joints and arthritis mutilans presenting with characteristic deformities. Disabling hip arthropathy that occurs secondary to MRH can be successfully managed with bilateral total hip arthroplasty (THA). Osteopenia and acetabular bone defects must be anticipated during THA. This case is reported due to its rare occurrence and because little literature has been published regarding THA in such patients.
( Balaji Saibaba ),( Mandeep S Dhillon ),( Devendra K Chouhan ),( Rajendra K Kanojia ),( Mahesh Prakash ),( Vikas Bachhal ) 대한슬관절학회 2015 대한슬관절학회지 Vol.27 No.3
Purpose: To identify and quantify the presence of extra-articular tibia vara that might influence the mechanical axis alignment after total knee arthroplasty (TKA). Materials and Methods: A total of 48 TKAs in 30 osteoarthritic Indian patients were prospectively evaluated. The hip-knee-ankle angle (HKA), joint line convergence angle, and varus angulation at the femur and tibia were measured from the preoperative and postoperative standing hip-to-ankle radiographs. Four different methods were used to measure the varus angulation at the tibia: metaphyseo-diaphyseal angle (MDA), the angle between the anatomical axis and mechanical axis of the tibia, the angle between the proximal third and distal third of tibia and the angle between the proximal half and distal half of tibia. Results: Extra-articular tibia vara quantified using MDA had the most positive correlation with HKA. Receiver operating characteristic plotting showed that MDA of >4o predicts abnormal postoperative HKA. Twenty-eight out of 48 knees had MDA of >4o, and 78.6% of these had postoperative HKA under-correction and 21.4% had less than ideal tibial component position. Conclusions: A significant inherent extra-articular varus angulation best measured using MDA exists in the proximal tibia in osteoarthritic Indian patients undergoing TKA. MDA of >4o is associated with abnormal postoperative HKA. Computer navigation may be useful for achieving ideal correction in such cases.
A New Privacy Approach using Graph-EMD
CH.M.H.Saibaba,V. Uday Kumar,K. Praveenkumar,Debnath Bhattacharyya 보안공학연구지원센터 2016 International Journal of Software Engineering and Vol.10 No.7
Privacy is the word which can listen everywhere in the data mining for data preserving. It should be provided the security to the data in many ways. Privacy should be provided to the sensitive data and micro data. Hence more number of existing techniques has been introduced to provide sensitive data. Many third party service providers are showing interest to release the data which is collected for research purpose. Existing systems like k-anonymity, l-diversity and t-closeness are already existed but they can’t provide better privacy measures. Each existing method carries different types of problems. The t-closeness is the more flexible privacy model called (n,t)-closeness will provide the better privacy and usage. Proposed Closeness measures require Probability distribution that is assessed using Earth Mover’s Distance (EMD) measurement. In this paper, the graph based algorithm graph-EMD. Compare with tree-EMD, graph EMD performs more flexible. The number of unknown variables is reduced to O (N) from O (N2) of the original EMD. In this paper, with Graph-EMD is implemented and show the performance and efficiency.
Review of Prospects of Biological Fluid Biomarkers in Osteoarthritis
Nguyen, Lich Thi,Sharma, Ashish Ranjan,Chakraborty, Chiranjib,Saibaba, Balaji,Ahn, Moo-Eob,Lee, Sang-Soo MDPI 2017 INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES Vol.18 No.3
<P>Osteoarthritis (OA) is a degenerative disease of the joints and is one of the leading causes of disability in adults. However, there are no key therapeutics for OA and medical treatment is based on managing the symptoms and slowing down progression of the disease. Diagnostics based on clinical examination and radiography have provided little information about metabolic changes in joint tissues, disease onset and progression. Due to lack of effective methods for early detection and evaluation of treatment outcome, the measurement of biochemical markers (biomarkers) shows promise as a prospective method aiding in disease monitoring. OA biomarkers that are present in biological fluids such as blood, urine and synovial fluid, sources that are easily isolated from body, are of particular interest. Moreover, there are increasingly more studies identifying and developing new biomarkers for OA. In this review, efforts have been made to summarize the biomarkers that have been reported in recent studies on patients. We also tried to classify biomarkers according to tissue metabolism (bone, cartilage and synovial metabolism markers), pathological pathways (inflammatory and genetic markers) and biological function (chemokines, growth factors, acute phase proteins, etc.).</P>
Data Mining Techniques Based on Effective Pattern Discovery
S. Suresh Babu,Vahiduddin Shariff,CH. M. H. Saibaba,Debnath Bhattacharyya 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.7
The extraction of similar features based on quality is called pattern discovery to the huge number of terms, phrases and noise. Identifying the better pattern discovery is the major problem to extract the accurate information from the text documents because of the noise and unwanted data present in the text documents. In this paper, pattern discovery is used to find the frequent item sets and reducing the noise from text documents and implement the advanced pattern discovery approach. In this paper, for implementation we use .txt files with unstructured data to find the efficient patterns.