Progressive cerebral venous thrombosis with cranial nerve palsies in an adolescent African girl & associated diagnostic pitfalls: a rare case report

Cerebral venous thrombosis (CVT) is a cerebrovascular disorder caused by complete or partial occlusion of the cerebral venous and sinus system. The etiology has been attributed to hypercoagulability and pro-thrombotic states, leading to raised intracranial pressures that often manifest as headaches and focal neurological deficits. However, the multifactorial nature of CVT can create a diagnostic conundrum for clinicians. We describe a unique case of a 16-year-old female who presented with convulsions, postictal confusion, and drowsiness followed by residual weakness of her extremities. She initially presented to the primary care center with headache, high-grade fever, and altered mental status and was empirically treated for pyogenic meningitis. The patient failed to improve with a week of antibiotics and was referred to the tertiary care center for urgent attention. On presentation, the patient developed VI and VII cranial nerve palsy. Subsequently, MRI images showed filling defects in the superior sagittal, right transverse, and sigmoid sinuses with right parietal gyral T1 hyperintensity and T2 hypo-intensity. She was diagnosed with septic CVT based on sinus venous thrombosis and venous infarction, probably secondary to meningococcal pneumonia. It can be challenging to distinguish between both conditions as their presentations overlap. Moreover, cranial nerve palsy is an infrequent manifestation of CVT, with unclear pathogenesis. We highlight the role of neuro-imaging in the early detection of CVT and bring to light the unfamiliar symptoms and a more varied clinical spectrum that may hinder the diagnosis in a limited-resource setting. Future research should be explicitly modeled to improve the diagnostic efficiency of CVT and improve outcomes in younger patient populations. </p

Effectiveness of artificial intelligence-assisted colonoscopy in early diagnosis of colorectal cancer: a systematic review

Introduction: As artificial intelligence (AI)-assisted diagnosis gained immense popularity, it is imperative to consider its utility and efficiency in the early diagnosis of colorectal cancer (CRC), responsible for over 1.8 million cases and 881 000 deaths globally, as reported in 2018. Improved adenoma detection rate, as well as better characterizations of polyps, are significant advantages of AI-assisted colonoscopy (AIC). This systematic review (SR) investigates the effectiveness of AIC in the early diagnosis of CRC as compared to conventional colonoscopy. Materials and methods: Electronic databases such as PubMed/Medline, SCOPUS, and Web of Science were reviewed for original studies (randomized controlled trials, observational studies), SRs, and meta-analysis between 2017 and 2022 utilizing Medical Subject Headings terminology in a broad search strategy. All searches were performed and analyzed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis methodology and were conducted from November 2022. A data extraction form based on the Cochrane Consumers and Communication Review group's extraction template for quality assessment and evidence synthesis was used for data extraction. All included studies considered for bias and ethical criteria and provided valuable evidence to answer the research question. Results: The database search identified 218 studies, including 87 from PubMed, 60 from SCOPUS, and 71 from Web of Science databases. The retrieved studies from the databases were imported to Rayyan software and a duplicate article check was performed, all duplicate articles were removed after careful evaluation of the data. The abstract and full-text screening was performed in accordance with the following eligibility criteria: Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) for observational studies; Preferred Reporting Items for Systematic Reviews and Meta-Analysis for review articles, ENTREQ for narrative studies; and modified JADAD for randomized controlled trials. This yielded 15 studies that met the requirements for this SR and were finally included in the review. Conclusion: AIC is a safe, highly effective screening tool that can increase the detection rate of adenomas, and polyps resulting in an early diagnosis of CRC in adults when compared to conventional colonoscopy. The results of this SR prompt further large-scale research to investigate the effectiveness in accordance with sex, race, and socioeconomic status, as well as its influence on prognosis and survival rate.</p

Gender representation in surgery: progress and challenges in recent years

Women have played an important role in medical history for centuries. The first surgical procedure involving a woman occurred over 5000 years ago. Before the 1970s, medical schools had an extremely low female enrollment (6%). Over the past decades, the proportion of female medical students has increased dramatically, with female medical students now outnumbering male medical students in developed countries such as the UK and the USA. Nonetheless, there has been minimal progress in the representation of females in the field of surgery, with less than one-third of surgeons worldwide being female. Several factors influence junior female doctors’ decision to pursue a career in surgery. Some women are put off by the notion that surgery is an “old boys’ network” requiring male strength. </p