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1/27/26

 


ABSTRACT


PURPOSE: Pulmonary embolism (PE) is a significant contributor to mortality in patients with cancer. Although anticoagulation serves as the cornerstone of treatment for cancer-associated PE, it has not been emphasized in real-world settings. The aim of this study was to examine the impact of suboptimal anticoagulant treatment on the prognosis of cancer-associated PE.


METHODS: A cohort of 356 individuals newly diagnosed with acute PE were enrolled. The primary outcome of the study was recurrent venous thromboembolism (VTE), and the secondary outcomes were all-cause mortality and major bleeding (consisting of a reduction in the hemoglobin level by at least 20 g/L, transfusion of at least 2 units of blood, or symptomatic bleeding in a critical area or organ or fatal bleeding).


FINDINGS: Of the total participants, 156 (43.8%) were diagnosed with cancer. A comparison between the cancer and noncancer groups revealed that patients with cancer were more frequently asymptomatic (41.0% vs 4.5%; P < 0.001), less likely to have right ventricular dysfunction (4.5% vs 14.0%; P = 0.001), received less anticoagulant treatment during hospitalization (85.3% vs 98.5%; P < 0.001), and had a shorter duration of anticoagulation (5.02 [7.40] months vs 14.19 [10.65] months; P < 0.001). In addition, patients with cancer were found to be at a higher risk of recurrent VTE (17.3% vs 4.0%; P < 0.001) and all-cause mortality (23.7% vs 10.5%; P = 0.001). Multiple Cox regression analysis indicated that discontinuation of anticoagulation at 3 months was a significant risk factor for recurrent VTE in the cancer group (HR, 15.815; 95% CI, 3.047-82.079; P = 0.001).


IMPLICATIONS: The brief duration of anticoagulation therapy and elevated likelihood of recurrent VTE serve as cautionary indicators for the need to enhance awareness of standardized anticoagulant treatment for cancer-associated PE. The ultimate goal is to enhance patient prognosis and quality of life.


PMID:37838562 | DOI:10.1016/j.clinthera.2023.09.014

19:09

PubMed articles on: Cancer & VTE/PE

Computer image analysis with artificial intelligence: a practical introduction to convolutional neural networks for medical professionals


Postgrad Med J. 2023 Oct 4:qgad095. doi: 10.1093/postmj/qgad095. Online ahead of print.


ABSTRACT


Artificial intelligence tools, particularly convolutional neural networks (CNNs), are transforming healthcare by enhancing predictive, diagnostic, and decision-making capabilities. This review provides an accessible and practical explanation of CNNs for clinicians and highlights their relevance in medical image analysis. CNNs have shown themselves to be exceptionally useful in computer vision, a field that enables machines to 'see' and interpret visual data. Understanding how these models work can help clinicians leverage their full potential, especially as artificial intelligence continues to evolve and integrate into healthcare. CNNs have already demonstrated their efficacy in diverse medical fields, including radiology, histopathology, and medical photography. In radiology, CNNs have been used to automate the assessment of conditions such as pneumonia, pulmonary embolism, and rectal cancer. In histopathology, CNNs have been used to assess and classify colorectal polyps, gastric epithelial tumours, as well as assist in the assessment of multiple malignancies. In medical photography, CNNs have been used to assess retinal diseases and skin conditions, and to detect gastric and colorectal polyps during endoscopic procedures. In surgical laparoscopy, they may provide intraoperative assistance to surgeons, helping interpret surgical anatomy and demonstrate safe dissection zones. The integration of CNNs into medical image analysis promises to enhance diagnostic accuracy, streamline workflow efficiency, and expand access to expert-level image analysis, contributing to the ultimate goal of delivering further improvements in patient and healthcare outcomes.


PMID:37794609 | DOI:10.1093/postmj/qgad095

19:09

PubMed articles on: Cancer & VTE/PE

A - 119 A Case Study: the Cognitive Functioning of an Adult Patient with Recurrent Craniopharyngiomas


Arch Clin Neuropsychol. 2023 Oct 20;38(7):1291. doi: 10.1093/arclin/acad067.136.


ABSTRACT


OBJECTIVE: Craniopharyngiomas are extremely rare (incidence rate of 1.34 per million). Due to its proximity to the sellar/suprasellar prefrontal regions region, cognitive impairment, behavioral changes, and adverse endocrinological outcomes are common. Further, surgery and radiotherapy can further impact functioning. Currently, there is no parsimonious cognitive profile of adult patients following interventions. This case highlights the role of neuropsychological evaluations in monitoring global psychological functioning and frontal behavioral syndrome in an adult with recurrent craniopharyngioma.


METHOD: The patient is a 39-year-old Black female first evaluated as an inpatient prior to resection surgery. She was evaluated on four additional times post-surgically. At the most recent evaluation, she and her family reported memory problems, apathy, and gait instability. Complicating factors included hypothyroidism, chronic kidney disease, diabetes, obstructive sleep apnea, pulmonary embolism, hypotension, COVID-19, and recurrent tachycardia, with inconsistent adherence to treatment recommendations.


RESULTS: She displayed global cognitive deficits two years post-surgery, particularly in language and memory. Neurobehaviorally, she exhibited pervasive signs of severe frontal lobe syndrome, including, abulia, hypophonic and dysarthric speech, psychomotor retardation, bradyphrenia, and anosognosia.


CONCLUSION: Neuropsychological evaluations remain critical in monitoring the patient's neurocognitive status and provide valuable insights into treatment planning and need for additional support and care to optimize patients' quality of life in the context of significant cognitive disability.


PMID:37807245 | DOI:10.1093/arclin/acad067.136

19:09

PubMed articles on: Cancer & VTE/PE

Acute venous thromboembolism in patients with brain cancer: clinical course


Res Pract Thromb Haemost. 2023 Aug 20;7(6):102172. doi: 10.1016/j.rpth.2023.102172. eCollection 2023 Aug.


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