Assessment of uranium exposure in drinking water sources across Ganderbal, Jammu and Kashmir: A biokinetic modelling approach

Journal of Geochemical Exploration, Journal Year: 2025, Volume and Issue: unknown, P. 107763 - 107763

Published: March 1, 2025

Language: Английский

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Primary hyperparathyroidism during pregnancy: ultrasound as an accurate preoperative localization imaging modality

Orphanet Journal of Rare Diseases, Journal Year: 2025, Volume and Issue: 20(1)

Published: March 31, 2025

Abstract Background Accurate identification of parathyroid lesions in primary hyperparathyroidism (PHPT) patients is essential for minimally invasive surgery during pregnancy. Materials and methods Patients who were diagnosed with PHPT pregnancy had undergone surgical treatment between January 2005 September 2023 retrospectively included. Demographic clinical characteristics preoperative ultrasound (US) technetium-99m sestamibi ( 99m Tc-MIBI) scintigraphy results collected. Histopathologic examinations conducted all removed neck surgery, the considered as reference standard. Results A total 19 pregnant parathyroidectomy included study. The median age was 30 years. Sixteen (16/19, 84.2%) single-gland disease three (15.8%) two lesions. Three confirmed multiple endocrine neoplasia type 1. size 1.8 cm (0.6–7.5 cm). All US examination, eight Tc-MIBI scintigraphy. 21 found on US. diagnostic sensitivity 95.45% per lesion 100% patient. One lesion, a maximum diameter 0.6 cm, missed preoperatively by either or Nine second trimester 88.89% them full-term after surgery. There no complications newborns. Conclusions In patients, achieved high localization. Surgery accurately localizing lesion(s) improved patients’ outcomes.

Language: Английский

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A Novel Ensemble Learning Approach for Grouping the State-of-the-Art YOLOV10 and YOLOV11 Models for Kidney Stone Detection in CT and Ultrasound Images

Deleted Journal, Journal Year: 2025, Volume and Issue: unknown

Published: April 15, 2025

Despite its essential role in preserving healthy kidney tissue, stone detection has received limited attention academic literature. Physicians need to accurately and precisely detect the location of stones medical images, which is a challenging time-consuming task. Deep learning techniques, offer powerful ability for object detection, can be utilized address this problem. In study, two different image modalities (CT ultrasound imaging) images are performing generalized overview. A novel ensemble framework combining latest YOLOV10 YOLOV11 models proposed minimize false negative positive errors, thereby improving performance individual models. Experiments show that deep model enhances by 5.4%, 2.4%, 1.3% precision, recall, F1-score, respectively, compared best trained using CT imaging modality. They also indicate utilizing ultrasound-based dataset improves F1-score 1% Map50 score 1.34% Results approach exhibits enhanced demonstrates outperforms state-of-the-art methodologies.

Language: Английский

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Gestational exposure to micro- and nanoplastics leads to poor pregnancy outcomes by impairing placental trophoblast syncytialization

Environmental Pollution, Journal Year: 2025, Volume and Issue: unknown, P. 126520 - 126520

Published: May 1, 2025

Language: Английский

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Exposure to Radon and Ambient Particle Radioactivity During Pregnancy and Adverse Maternal, Fetal and Perinatal Outcomes: The Current Literature and Potential Mechanisms

Environmental Research, Journal Year: 2024, Volume and Issue: unknown, P. 120272 - 120272

Published: Oct. 1, 2024

Language: Английский

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