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1.
Article in English | MEDLINE | ID: mdl-38984651

ABSTRACT

Giant cell tumor of the bone (GCTB) is a rare primary bone neoplasm, representing about 5% of all primary bone tumors. Most GCTBs are found in the epiphysis of long bones, with only 2% of GCTBs involving the skull. In recent years, the receptor activator of nuclear factor Kappa ligand monoclonal antibody denosumab has been demonstrated as a promising therapeutic option for GCTB; however, this is an evolving field. We present a case of a 57-year-old female with a rare GCTB in the right orbit and sinuses, originally thought to be an aneurysmal bone cyst. Her symptoms included proptosis, intermittent blurry vision, sinus congestion, and frontal headaches. After excision, the tumor recurred within 18 months. Upon repeat excision, a diagnosis of GCTB was made. The patient started denosumab therapy and had no tumor growth over the ensuing 2 years, with stability of symptoms and clinical signs on follow-up.

2.
Annu Int Conf IEEE Eng Med Biol Soc ; 2022: 4434-4438, 2022 07.
Article in English | MEDLINE | ID: mdl-36085695

ABSTRACT

With the continued integration of technology in medicine, large amounts of patient data are often vulnerable to cyber-attacks. Medical data must be secured, however traditional cryptographic algorithms are inapplicable to medical images due to factors such as bulk data capacity, strong correlation among adjacent pixels, and high redundancy. To address the need for new medical image encryption algorithms, a novel approach based on the central dogma of molecular biology is proposed. The resulting algorithm has a linear runtime complexity, and is resistant to brute force, differential and statistical attacks. The algorithm advances the state-of-the-art in DNA-based image encryption and surpasses recent approaches in medical image encryption in its defence against cyber-attacks. Clinical Relevance- Secure data transmission and storage is critical for patient privacy. This algorithm increases the security of patient imaging when compared to image encryption algorithms in literature.


Subject(s)
Medicine , Molecular Biology , Algorithms , Humans , Technology
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