S
Sharmila Majumdar
Researcher at University of California, San Francisco
Publications - 505
Citations - 29773
Sharmila Majumdar is an academic researcher from University of California, San Francisco. The author has contributed to research in topics: Osteoarthritis & Cartilage. The author has an hindex of 88, co-authored 477 publications receiving 27074 citations. Previous affiliations of Sharmila Majumdar include University of California & Georgia Regents University.
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Journal ArticleDOI
Kartogenin Treatment Prevented Joint Degeneration in a Rodent Model of Osteoarthritis: A Pilot Study
Geetha Mohan,Sergey Magnitsky,Gerd Melkus,Karupppasamy Subburaj,Galateia J. Kazakia,Andrew J. Burghardt,Alexis Dang,Nancy E Lane,Sharmila Majumdar +8 more
TL;DR: KGN treatment significantly decreased COMP and CTX‐I levels indicating decreased cartilage and bone turnover rate and prevented subchondral bone changes in the ACLT rat model of OA, indicating kartogenin is a potential drug to prevent joint deterioration in post‐traumatic OA.
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Joint Loading in the Sagittal Plane During Gait Is Associated With Hip Joint Abnormalities in Patients With Femoroacetabular Impingement.
Michael A. Samaan,Benedikt J. Schwaiger,Matthew C. Gallo,Kiyoshi Sada,Thomas M. Link,Alan L. Zhang,Sharmila Majumdar,Richard B. Souza +7 more
TL;DR: The data suggest that patients with FAI demonstrate both local and distal joint alterations during walking and that hip joint loading is directly related to hip joint abnormalities.
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Feasibility of Measuring Trabecular Bone Structure of the Proximal Femur Using 64-Slice Multidetector Computed Tomography in a Clinical Setting
Gerd Diederichs,Thomas M. Link,Kentenich Marie,Markus B. Huber,Patrik Rogalla,Andrew J. Burghardt,Sharmila Majumdar,Ahi Sema Issever,Ahi Sema Issever +8 more
TL;DR: In vivo assessment of bone architecture in addition to BMD may be feasible in clinical practice because individual parameters for assessement of trabecular microarchitecture can be measured using MDCT-derived imaging studies and a simulated in vivo setup.
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Improving bone strength prediction in human proximal femur specimens through geometrical characterization of trabecular bone microarchitecture and support vector regression
Chien-Chun Yang,Mahesh B. Nagarajan,Markus B. Huber,Julio Carballido-Gamio,Jan S. Bauer,Thomas Baum,Felix Eckstein,Eva-Maria Lochmüller,Sharmila Majumdar,Thomas M. Link,Axel Wismüller,Axel Wismüller +11 more
TL;DR: The results suggest that supplementing standard DXA BMD measurements with sophisticated femoral trabecular bone characterization and supervised learning techniques can significantly improve biomechanical strength prediction in proximal femur specimens.
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Heterogeneity of bone microstructure in the femoral head in patients with osteoporosis: An ex vivo HR-pQCT study
TL;DR: Significant heterogeneity of the trabecular bone microstructure in the OP femoral head was showed quantitatively in this study and may prove to provide useful information on clinical medicine such as hip surgeries.