Year 2024, Volume 8 - Issue 8
Case Series | August 26, 2024
Approach to poisoned patients with high anion gap metabolic acidosis in the emergency department - a case series
Case Report | August 26, 2024
Rare case of quadruplets vaginal delivery in Western Uganda: missed opportunities during antenatal and referral
Case Report | August 26, 2024
A scarce advantage of spontaneous closure as a stoma complication
Case Report | August 26, 2024
What is the impact of an Abnormal pathogenic variant in COQ8A/ CYP17A1 in pediatric patient - A case report
Case Report | September 15, 2024
Multi-drug resistant Mycobacterium abscessus septic arthritis following an intra-articular steroid injection; a case report
Background: Mycobacterium abscessus (M. abscessus), a rapidly growing Mycobacterium (RGM) is an emergent cause of soft issue and musculoskeletal infections. Treatment is often complicated by commonly occurring intrinsic and acquired resistance to not only the classical anti-tuberculous agents but also to most currently available antibiotics. Case Presentation: We present a case of left thumb carpometacarpal (CMC) joint septic arthritis in a 66-year-old American Caucasian woman following an intra-articular steroid injection for osteoarthritis treatment. She did not improve on conventional empirical cellulitis treatment prompting culture and sensitivity assays. Mycobacterium abscessus Deoxyribonucleic acid was detected by real-time polymerase chain reaction (PCR) with additional cultures growing the same organism within a week. Samples were sent to the New York State Department of Health for a full culture and sensitivity profile which demonstrated extensive resistance to antibacterial agents including conventional anti-tuberculous agents. Conclusion: This case not only highlights the importance of having a high degree of suspicion for M. abscessus in joint and soft tissue infections not improving to commonly used empirical therapies even in low prevalent areas. It also underlines the importance of performing cultures and sensitivity given antibiotic combinations for most RGM infections should be sensitivity guided.
Case Series | September 18, 2024
Innovations in breast cancer detection: analyzing three clinical case reports to assess the Genius AITM Detection Solution
Background: This case series highlights the role of Hologic Genius AI™ Detection solution in improving breast cancer detection rates. Through AI-driven technology, Genius AI Detection solution enhances the accuracy and efficiency of identifying suspicious breast lesions, leading to early diagnosis and intervention. By leveraging deep learning algorithms, Genius AI Detection solution provides actionable computer-aided detection (CAD) findings in identifying and aiding in the interpretation of potential abnormalities in breast tomosynthesis images. It also helps prioritize cases to potentially improve reading efficiency ultimately impacting breast imaging and patient care.
Case Presentation: We present three challenging cases from a routine screening population, wherein patients flagged as high-priority or suspicious for malignancy by Genius AI Detection solution were subsequently diagnosed with invasive ductal carcinoma (IDC), ductal carcinoma in situ (DCIS), and invasive lobular carcinoma that were all validated through biopsy and histopathological examination. We demonstrate the clinical utility of Hologic Genius AI Detection solution in detecting various types of breast cancers, including DCIS in a young patient with dense breast tissue and a family history of breast cancer, IDC in a patient with scattered fibroglandular densities and no family history, and invasive lobular carcinoma in a patient with similar breast density characteristics and no family history of breast cancer.
Conclusion: The cases exemplify how Hologic Genius AI Detection solution can potentially improve breast cancer detection in clinical practice.