Acute pancreatitis secondary to moderate hypertriglyceridemia: A case report.

Key Clinical Message: It is crucial to remain vigilant about acute pancreatitis, even in cases with moderately elevated triglycerides. Triglycerides as a cause of acute pancreatitis must be considered even in the absence of other risk factors. Abstract: Hypertriglyceridemia is one of the most common causes of acute pancreatitis (AP), with triglyceride levels greater than 1000 mg/dL being an established risk factor for AP. Cases of acute pancreatitis due to triglyceride levels less than 1000 mg/dL have rarely been reported in the literature. We report a case of a 26-year-old para-2, living-2 (P2L2) female who presented with epigastric pain and fever, with a serum triglyceride level of 579 mg/dL. A diagnosis of acute pancreatitis was made based on the clinical features and radiological findings, despite no identifiable risk factors. Hypertriglyceridemia was managed with no complications of acute pancreatitis during treatment.

Management of a Unique Subcarinal Bronchogenic Cyst with Robotic-Assisted Thoracic Surgery.

A bronchogenic cyst (BC), although a rare congenital abnormality, represents the most common cystic lesion in the mediastinum and can present with chest pain and shortness of breath, especially due to compression of adjacent vital structures. The most common diagnostic modalities used are computed tomography (CT) and magnetic resonance imaging (MRI). These cysts may elude even a seasoned clinician unless they become symptomatic. For clinicians attempting to give optimum and prompt management for these cysts, robotic-assisted surgical resection is the recommended treatment of choice. Robotic-assisted thoracic surgery (RATS) offers precision and enhanced visualization, making it a safe and accurate approach for the removal of posterior mediastinal BCs. Our patient is a 65-year-old female who presented with symptomatic posterior mediastinal subcarinal BCs and underwent complete surgical resection with RATS. The diagnosis was confirmed with histopathology. Advancements and the clinical impact of RATS for mediastinal BCs including the Da Vinci robotic surgeries have been demonstrated to be minimally invasive, safe, and feasible especially when in difficult-to-reach areas. RATS has also proven to be advantageous in reducing disease burden and improving patient outcomes.

Pyrexia of Unknown Origin: A Report of Two Cases.

Pyrexia of unknown origin (PUO) is a prolonged fever lasting several weeks without an identifiable cause despite extensive medical evaluation. Many a time, its cause remains largely unknown even after collecting a detailed medical history, conducting comprehensive physical assessments, and performing various standard laboratory tests and imaging procedures. This case series presents two cases of pyrexia of unknown origin. The first case includes a unique and uncommon presentation of non-Hodgkin's lymphoma. In the second case, the patient's fever remained unexplained after various investigations and treatments. The two documented cases of PUO presented in this report aim to contribute to the understanding of its diverse etiology and diagnostic challenges. By highlighting unique presentations and diagnostic dilemmas, the cases aim to promote awareness and facilitate timely recognition and appropriate management of PUO.

Revolutionizing Breast Cancer Detection With Artificial Intelligence (AI) in Radiology and Radiation Oncology: A Systematic Review.

The number one cause of cancer in women worldwide is breast cancer. Over the last three decades, the use of traditional screen-film mammography has increased, but in recent years, digital mammography and 3D tomosynthesis have become standard procedures for breast cancer screening. With the advancement of technology, the interpretation of images using automated algorithms has become a subject of interest. Initially, computer-aided detection (CAD) was introduced; however, it did not show any long-term benefit in clinical practice. With recent advances in artificial intelligence (AI) methods, these technologies are showing promising potential for more accurate and efficient automated breast cancer detection and treatment. While AI promises widespread integration in breast cancer detection and treatment, challenges such as data quality, regulatory, ethical implications, and algorithm validation are crucial. Addressing these is essential for fully realizing AI's potential in enhancing early diagnosis and improving patient outcomes in breast cancer management. In this review article, we aim to provide an overview of the latest developments and applications of AI in breast cancer screening and treatment. While the existing literature primarily consists of retrospective studies, ongoing and future prospective research is poised to offer deeper insights. Artificial intelligence is on the verge of widespread integration into breast cancer detection and treatment, holding the potential to enhance early diagnosis and improve patient outcomes.

The significance of uterine artery embolization in the treatment of utero-cervical cancer: A single case report.

Key Clinical Message: Uterine artery embolization demonstrated significant efficacy in the treatment of utero-cervical cancer. This minimally invasive procedure holds promise as a valuable adjunct therapy, potentially offering improved outcomes and reduced morbidity in select cases. Further research is warranted to validate its broader clinical utility. Abstract: Vaginal bleeding is a common complication of Cervical cancer that can be considered a critical emergency. Conventional hemostatic treatments may occasionally help reduce the bleeding but are not an effective long-term solution. Uterine Artery Embolization, a minimally invasive intervention, can halt the bleeding, achieving hemostasis, while removing many of the complications that alternative interventions carry. We outline a case study of a patient with extensive vaginal bleeding who had uterocervical malignancy and talk about the benefits of uterine artery embolisation for therapeutic management.

Identification of Putative Biomarkers in Cerebral Palsy: A Meta-Analysis and Meta-Regression.

BACKGROUND: Cerebral palsy (CP) is a neurological disorder that impairs motor abilities. Identifying maternal biomarker derangements can facilitate further evaluation for early diagnosis, potentially leading to improved clinical outcomes. This study investigates the association between maternal biomarker derangements and CP development during the antenatal period. METHODS: A systematic search was conducted in MEDLINE, EMBASE, and Cochrane databases, following MOOSE guidelines. Data on participants exceeding biomarker thresholds (95th and 5th percentiles) were extracted for combined odds ratio estimation. Geometric mean differences, reported as multiples of the median (MoMs), were used to analyze changes in marker levels. Trimesterwise subgroup analysis and metaregression assessed the impact of variables on outcomes. RESULTS: Five observational studies (1552 cases, 484,985 controls) revealed lower maternal pregnancy-associated plasma protein A levels were associated with CP (pooled odds ratio [OR] = 1.60, 95% confidence interval [CI] = 1.22 to 2.09; I = 0%), with a -0.04 MoM geometric mean difference. Lower maternal beta-human chorionic gonadotropin (HCG) levels in first and second trimesters indicated a pooled OR = 1.18 (95% CI = 0.85 to 1.63; I = 57%). Sensitivity analysis showed an OR = 1.40 (95% CI = 1.08 to 1.82; I = 0%), with a -0.07 MoM geometric mean difference. Metaregression identified primigravida status as negatively influencing beta-HCG levels. Elevated nuchal translucency values and CP presented a pooled OR = 1.06 (95% CI = 0.77 to 1.44; I = 0%). CONCLUSION: Lower maternal pregnancy-associated plasma protein A levels during the first trimester and lower beta-HCG levels in the first and second trimesters are associated with CP development in children. Future research should validate the predictive utility of these biomarkers and explore novel ones through large-scale cohort studies.

Acute Pancreatitis Induced by COVID-19 Vaccine: A Systematic Review.

Acute pancreatitis, marked by sudden inflammation of the pancreas, presents a complex spectrum of causative factors including gallstone obstruction, alcohol abuse, and viral infections. Recent studies have illuminated the emergence of vaccine-induced acute pancreatitis, notably associated with COVID-19 vaccinations, presenting diverse mechanisms ranging from direct viral-mediated injury to autoimmune reactions. Understanding this link is pivotal for public health, yet challenges persist in identifying and managing cases post-vaccination. Comprehensive literature reviews employing the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement outline the potential pathways and mechanisms leading to vaccine-induced pancreatitis, emphasizing the need for deeper investigations into underlying health conditions and modifications to vaccine components. Notably, the rare occurrences of vaccine-induced pancreatitis extend beyond COVID-19 vaccines, with reports also documenting associations with measles, mumps, and rubella (MMR), human papillomavirus (HPV), and other viral vaccinations. Mechanistically, hypotheses such as molecular mimicry and immunologic injury have been proposed, necessitating ongoing vigilance and exploration. Regulatory agencies play a crucial role in monitoring and communicating vaccine safety concerns, emphasizing transparency to address potential risks and maintain public trust. Understanding and communicating these rare adverse events with transparency remain integral for informed vaccination policies and to allay concerns surrounding vaccine safety.