7 research outputs found

    Outcomes of liver transplant for colorectal liver metastasis: A systematic review and meta-analysis

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    Background: Liver transplantation (LT) for nonresectable colorectal liver metastasis (NRCRLM) has become accepted for select patients meeting strict inclusion criteria. Advancements in patient selection and understanding of cancer biology may expand benefits to patients with colorectal liver metastasis (CRLM). In this meta-analysis, we sought to assess survival outcomes, recurrence patterns, and quality of life (QoL) after LT for CRLM.Methods: PubMed, Embase, and Scopus databases were searched. A random-effect meta-analysis was conducted to obtain pooled overall survival (OS) and disease-free survival (DFS) rates and to compare QoL from baseline. Continuous data were analyzed, and standardized mean differences were reported. Results: Overall, 16 studies (403 patients, 58.8% male sex) were included. The pooled 1-, 3-, and 5-year OS after LT for NRCRLM was 96% (95% CI: 92%-99%), 77% (95% CI: 62%-89%), and 53% (95% CI: 45%-61%), respectively. Moreover, the pooled 1-, 3-, and 5-year DFS was 58% (95% CI: 43%-72%), 33% (95% CI: 9%-61%), and 13% (95% CI: 4%-27%), respectively. Overall, 201 patients (49.8%) experienced recurrence during the follow-up period with the lungs being the most common site (45.8%). There was no significant differences in physical and emotional functioning, fatigue, and pain components of QoL at 6 months after LT compared with baseline (all P \u3e .05).Conclusion: LT for NRCRLM demonstrated good OS outcomes with no differences in the QoL at 6 months after transplantation. Transplantation may represent a viable treatment option for NRCRLM

    Intracranial Metastases of Cervical Intramedullary Low-Grade Astrocytoma without Malignant Transformation in Adult

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    The first case of intracranial metastases of a cervical intramedullary low-grade astrocytoma without malignant transformation in adult is presented in this report. Seven years ago, a 45 year-old male patient underwent biopsy to confirm pathologic characteristics and received craniocervical radiation and chemotherapy for a grade II astrocytoma in the cervical spinal cord. Two years later, posterior fusion was necessary for progressive kyphosis in the cervical spine. He was well for approximately 7 years after the primary surgery. Two months ago, he presented with partial weakness and incoordination with gait difficulty. MRI Scan demonstrated multiple small lesions in the cerebellar vermis and left hemisphere. After suboccipital craniectomy and posterior cervical exposure, the small masses in the cerebellar vermis and hemispheres were excised to a large extent by guidance of an intraoperative navigation system. The tumor at the cervical and brain lesions was classified as an astrocytoma (WHO grade II). When a patient with low-grade astrocytoma in the spinal cord has new cranial symptoms after surgery, radiaton, and chemotherapy, the possibility of its metastasis should be suspected because it can spread to the intracranial cavity even without malignant transformation as shown in this case

    Current stroke solutions using artificial intelligence: a review of the literature

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    Introduction: In recent years, artificial intelligence (AI) has emerged as a transformative tool for enhancing stroke diagnosis, aiding treatment decision making, and improving overall patient care. Leading AI-driven platforms such as RapidAI, Brainomix®, and Viz.ai have been developed to assist healthcare professionals in the swift and accurate assessment of stroke patients.Methods: Following the PRISMA guidelines, a comprehensive systematic review was conducted using PubMed, Embase, Web of Science, and Scopus. Characteristic descriptive measures were gathered as appropriate from all included studies, including the sensitivity, specificity, accuracy, and comparison of the available tools.Results: A total of 31 studies were included, of which 29 studies focused on detecting acute ischemic stroke (AIS) or large vessel occlusions (LVOs), and 2 studies focused on hemorrhagic strokes. The four main tools used were Viz.ai, RapidAI, Brainomix®, and deep learning modules.Conclusions: AI tools in the treatment of stroke have demonstrated usefulness for diagnosing different stroke types, providing high levels of accuracy and helping to make quicker and more precise clinical judgments.</p
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