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Background: This study aimed to develop an automated algorithm to noninvasively distinguish gliomas from other intracranial pathologies, preventing misdiagnosis and ensuring accurate analysis before further glioma assessment., Methods: A cohort of 1280 patients with a variety of intracranial pathologies was included. It comprised 218 gliomas (mean age 54.76 ± 13.74 years; 136 males, 82 females), 514 patients with brain metastases (mean age 59.28 ± 12.36 years; 228 males, 286 females), 366 patients with inflammatory lesions (mean age 41.94 ± 14.57 years; 142 males, 224 females), 99 intracerebral hemorrhages (mean age 62.68 ± 16.64 years; 56 males, 43 females), and 83 meningiomas (mean age 63.99 ± 13.31 years; 25 males, 58 females). Radiomic features were extracted from fluid-attenuated inversion recovery (FLAIR), contrast-enhanced, and noncontrast T1-weighted MR sequences. Subcohorts, with 80% for training and 20% for testing, were established for model validation. Machine learning models, primarily XGBoost, were trained to distinguish gliomas from other pathologies., Results: The study demonstrated promising results in distinguishing gliomas from various intracranial pathologies. The best-performing model consistently achieved high area-under-the-curve (AUC) values, indicating strong discriminatory power across multiple distinctions, including gliomas versus metastases (AUC = 0.96), gliomas versus inflammatory lesions (AUC = 1.0), gliomas versus intracerebral hemorrhages (AUC = 0.99), gliomas versus meningiomas (AUC = 0.98). Additionally, across all these entities, gliomas had an AUC of 0.94., Conclusions: The study presents an automated approach that effectively distinguishes gliomas from common intracranial pathologies. This can serve as a quality control upstream to further artificial-intelligence-based genetic analysis of cerebral gliomas., Competing Interests: The authors declare no potential conflicts of interest., (© The Author(s) 2025. Published by Oxford University Press, the Society for Neuro-Oncology and the European Association of Neuro-Oncology.)

This technique is employed for the simultaneous quantification of aspirin (ASP) and pantoprazole sodium in both pure powder form and formulations. The high performance liquid chromatography (HPLC) method uses a C-18 column (250 mm × 4.6 mm, 5 μm) with a mobile phase consisting of 0.05 M disodium hydrogen phosphate and methanol in a 40:60% v/v ratio. The flow rate is maintained at 1.0 mL/min. On a layer of silica gel 60F254 with an aluminum backing, the high performance thin layer chromatography (HPTLC) separation was carried out with ethyl acetate and methanol (8: 1.5 v/v) as the mobile phase. With a mean recovery of 100.54% and 99.55% for ASP and PNT, respectively, quantification was accomplished using the HPLC method with UV detection at 286 nm over the concentration range of 0.1-0.6 g/mL for PNT and 0.4-2.4 g/mL for ASP. With a mean recovery of 99.44% and 99.01% for ASP and PNT, respectively, quantification was achieved using the HPTLC method with UV detection at 298 nm over the concentration range of 400-2400 ng/spot for ASP and 100-600 ng/spot for PNT, respectively. The methods can be used for the simultaneous determination of ASP and PNT in pure powder form and formulations as they are simple, accurate and sensitive., (© The Author(s) 2024. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.)

Background: Primary central nervous system lymphomas (PCNSL) pose a challenge as they may mimic gliomas on magnetic resonance imaging (MRI) imaging, compelling precise differentiation for appropriate treatment. This study focuses on developing an automated MRI-based workflow to distinguish between PCNSL and gliomas., Methods: MRI examinations of 240 therapy-naive patients (141 males and 99 females, mean age: 55.16 years) with cerebral gliomas and PCNSLs (216 gliomas and 24 PCNSLs), each comprising a non-contrast T1-weighted, fluid-attenuated inversion recovery (FLAIR), and contrast-enhanced T1-weighted sequence were included in the study. HD-GLIO, a pre-trained segmentation network, was used to generate segmentations automatically. To validate the segmentation efficiency, 237 manual segmentations were prepared (213 gliomas and 24 PCNSLs). Subsequently, radiomics features were extracted following feature selection and training of an XGBoost algorithm for classification., Results: The segmentation models for gliomas and PCNSLs achieved a mean Sørensen-Dice coefficient of 0.82 and 0.80 for whole tumors, respectively. Three classification models were developed in this study to differentiate gliomas from PCNSLs. The first model differentiated PCNSLs from gliomas, with an area under the curve (AUC) of 0.99 (F1-score: 0.75). The second model discriminated between high-grade gliomas and PCNSLs with an AUC of 0.91 (F1-score: 0.6), and the third model differentiated between low-grade gliomas and PCNSLs with an AUC of 0.95 (F1-score: 0.89)., Conclusions: This study serves as a pilot investigation presenting an automated virtual biopsy workflow that distinguishes PCNSLs from cerebral gliomas. Prior to clinical use, it is necessary to validate the results in a prospective multicenter setting with a larger number of PCNSL patients., Competing Interests: The authors declare that there is no conflict of interest to disclose., (© The Author(s) 2024. Published by Oxford University Press, the Society for Neuro-Oncology and the European Association of Neuro-Oncology.)

Objective: Body tissue composition plays a crucial role in the multisystemic processes of advanced liver disease and has been shown to be influenced by transjugular intrahepatic portosystemic shunt (TIPS). A differentiated analysis of the various tissue compartments has not been performed until now. The purpose of this study was to evaluate the value of imaging biomarkers derived from automated body composition analysis (BCA) to predict clinical and functional outcome., Methods: A retrospective analysis of 56 patients undergoing TIPS procedure between 2013 and 2021 was performed. BCA on the base of pre-interventional CT examination was used to determine quantitative data as well as ratios of bone, muscle and fat masses. Furthermore, a BCA-derived sarcopenia marker was investigated. Regarding potential correlations between BCA imaging biomarkers and the occurrence of hepatic encephalopathy (HE) as well as 1-year survival, an exploratory analysis was conducted., Results: No BCA imaging biomarker was associated with the occurrence of HE after TIPS placement. However, there were significant differences in alive and deceased patients regarding the BCA-derived sarcopenia marker (alive: 1.60, deceased: 1.83, p = 0.046), ratios of intra- and intermuscular fat/skeletal volume (alive: 0.53, deceased: 0.31, p = 0.015) and intra- and intermuscular fat/muscle volume (alive: 0.21, deceased: 0.14, p = 0.031)., Conclusion: A lower amount of intra- and intermuscular adipose tissue might have protective effects regarding liver derived complications and survival., Advances in Knowledge: Precise characterization of body tissue components with automated BCA might provide prognostic information in patients with advanced liver disease undergoing TIPS procedure., Competing Interests: FundingOpen Access funding enabled and organized by Projekt DEAL.

Background: We studied risk factors, antibodies, and symptoms of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in a diverse, ambulatory population., Methods: A prospective cohort (n = 831) previously undiagnosed with SARS-CoV-2 infection underwent serial testing (SARS-CoV-2 polymerase chain reaction, immunoglobulin G [IgG]) for 6 months., Results: Ninety-three participants (11.2%) tested SARS-CoV-2-positive: 14 (15.1%) asymptomatic, 24 (25.8%) severely symptomatic. Healthcare workers (n = 548) were more likely to become infected (14.2% vs 5.3%; adjusted odds ratio, 2.1; 95% confidence interval, 1.4-3.3) and severely symptomatic (29.5% vs 6.7%). IgG antibodies were detected after 79% of asymptomatic infections, 89% with mild-moderate symptoms, and 96% with severe symptoms. IgG trajectories after asymptomatic infections (slow increases) differed from symptomatic infections (early peaks within 2 months). Most participants (92%) had persistent IgG responses (median 171 days). In multivariable models, IgG titers were positively associated with symptom severity, certain comorbidities, and hospital work. Dyspnea and neurologic changes (including altered smell/taste) lasted ≥ 120 days in ≥ 10% of affected participants. Prolonged symptoms (frequently more severe) corresponded to higher antibody levels., Conclusions: In a prospective, ethnically diverse cohort, symptom severity correlated with the magnitude and trajectory of IgG production. Symptoms frequently persisted for many months after infection.Clinical Trials Registration. NCT04336215., (© The Author(s) 2021. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com.)

Background: Cancer incidence and mortality is increasing in the developing world. Inequities between low-, middle-, and high-income countries affect disease burden and the infrastructure needs in response to cancer. We surveyed early-career oncologists attending workshops in clinical research in three countries with emerging economies about their perception of the evolving cancer burden., Methods: A cross-sectional survey questionnaire was distributed at clinical trial concept development workshops held in Beijing, Lahore, Karachi, and Mumbai at major hospitals to acquire information regarding home-country health conditions and needs., Results: A total of 100 respondents participated in the workshops held at major hospitals in the region (India = 29, China = 25, Pakistan = 42, and other = 4). Expected consensus on many issues (e.g., emergence of cancer as a significant health issue) was balanced with significant variation in priorities, opportunities, and challenges. Chinese respondents prioritized improvements in cancer-specific care and palliative care, Indian respondents favored improved cancer detection and advancing research in cancer care, and Pakistani respondents prioritized awareness of cancer and improvements in disease detection and cancer care research. For all, the most frequently cited opportunity was help in improving professional cancer education and training., Conclusion: Predominantly early-career oncologists attending clinical research workshops (in China, India, and Pakistan) identified needs for increasing clinical cancer research, professional education, and public awareness of cancer. Decision makers supporting efforts to reduce the burden of cancer worldwide will need to factor the specific needs and aspirations of health care providers in their country in prioritizing health policies and budgets., (©AlphaMed Press.)

An accurate, simple, reproducible, and sensitive HPLC method was developed and validated for the simultaneous determination of atorvastatin calcium, ezetimibe, and fenofibrate in a tablet formulation. The analyses were performed on an RP C18 column, 150 x 4.60 mm id, 5 pm particle size. The mobile phase methanol-acetonitrile-water (76 + 13 + 11, v/v/v), was pumped at a constant flow rate of 1 mL/min. UV detection was performed at 253 nm. Retention times of atorvastatin calcium, ezetimibe, and fenofibrate were found to be 2.25, 3.68, and 6.41 min, respectively. The method was validated in terms of linearity, precision, accuracy, LOD, LOQ, and robustness. The response was linear in the range 2-10 microg/mL (r2 = 0.998) for atorvastatin calcium, 2-10 microg/mL (r2 = 0.998) for ezetimibe, and 40-120 microg/mL (r2 = 0.998) for fenofibrate. The developed method can be used for routine quality analysis of the drugs in the tablet formulation.

Cerebral air embolism (CAE) is a rarely reported complication of a common condition like pneumothorax, presenting with deterioration of sensorium and cardiovascular instability. We report a case of 3-year-old male who developed pneumothorax after positive pressure ventilation followed by deterioration of sensorium. CT head revealed massive CAE.

The right subclavian artery normally arises from the brachiocephalic artery. Anomalies in development may lead to peculiar problems during surgery. We report a patient with esophageal carcinoma who had an aberrant right subclavian artery, posing specific difficulties during a transhiatal esophagectomy, requiring conversion of the procedure into a transthoracic approach. The embryologic basis of this anomaly and the clinical significance are discussed.