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696 results for “Adrenal”
Diagnostic Accuracy of Adrenal Imaging for Subtype Diagnosis in Primary Aldosteronism: Systematic Review and Meta-Analysis
<p>Objectives: Accurate subtype classification in primary aldosteronism (PA) is critical in assessing the optimal treatment options. This study aimed to evaluate the diagnostic accuracy of adrenal imaging for unilateral PA classification.</p> <p>Methods: Systematic searches of PubMed, EMBASE, and the Cochrane databases were performed from January 1, 2000, to February 1, 2020, for all studies that used computed tomography (CT) or magnetic resonance imaging (MRI) in determining unilateral PA and validated the results against invasive adrenal vein sampling (AVS). Summary diagnostic accuracies were assessed using a bivariate random-effects model. Subgroup analyses, meta-regression and sensitivity analysis were performed to explore the possible sources of heterogeneity.</p> <p>Result: A total of 25 studies, involving a total of 4669 subjects, were identified. The overall analysis revealed a pooled sensitivity of 68% (95% confidence interval [CI]: 61 to 74) and specificity of 57% (95% CI: 50 to 65) for CT/MRI in identifying unilateral PA. Sensitivity was higher in the contrast-enhanced (CT) group versus the traditional CT group [77% (95% CI: 66 to 85) vs. 58% (95% CI: 50 to 66)]. Subgroup analysis stratified by screening test for PA showed that the sensitivity of the aldosterone-to-renin ratio (ARR) group was higher than that of the non-ARR group [78% (95% CI: 69 to 84) vs. 66% (95% CI: 58 to 72)]. The diagnostic accuracy of PA patients aged ≤40 years was reported in 4 studies, and the overall sensitivity was 71%, with 79% specificity. Meta-regression revealed a significant impact of sample size on sensitivity and of age and study quality on specificity.</p> <p>Conclusion: CT/MRI is not a reliable alternative to invasive AVS without excellent sensitivity or specificity for correctly identifying unilateral PA. Even in young patients (≤40 years), 21% of patients would have undergone unnecessary adrenalectomy based on imaging results alone.</p>
Supplementary data for "Analysis of Non-21α-hydroxylase-deficiency Primary Adrenal Insufficiency in Childhood: Data from 113 Chinese Patients"
<p>Supplementary data for "Analysis of Non-21α-hydroxylase-deficiency Primary Adrenal Insufficiency in Childhood: Data from 113 Chinese Patients"</p> <p><strong>Supplementary Table 1 </strong>Causes of Primary Adrenal Insufficiency in Children</p> <p><strong>Supplementary Table 2</strong> Mutations Detected in Subjects with non-21-OHD CAH Inherited Causes of Childhood-Onset Primary Adrenal Insufficiency</p> <p><strong>Supplementary Table 3 </strong>Clinical findings in Subjects with Non-21-OHD Inherited Causes of Childhood-Onset Primary Adrenal Insufficiency</p> <p><strong>Supplementary Table 4 </strong>Population Frequencies of Common Variants in <em>STAR</em> or <em>MC2R</em></p>
Cell Atlas at Single-Nuclei Resolution of the Adult Human Adrenal Gland and Adrenocortical Adenomas
<p><strong>Abstract</strong></p> <p>The human adrenal glands are highly dynamic endocrine organs that are involved in the secretion of various hormones such as steroids and catecholamines. Here we present a single-nuclei and spatial transcriptomic analysis of healthy adult human adrenal glands to provide a complete adrenal gland atlas. With this, we show how such an atlas can be taken advantage when studying adrenocortical diseases, such as adrenocortical adenomas (ACA). Using nornal adrenal as reference, we showed a high intra-tumoural heterogeneity in the single-nuclei transcriptome of ACA, revealing the presence of specific cell populations associated with cortisol secretion and genetic background.</p> <p> </p> <p><strong>Data content</strong></p> <p>This dataset contains the two Visium replicates (NAG-7A and NAG-7B) processed using Space Ranger (spaceranger-1.0.0).</p> <p> </p>
WebMicroscope's Deep Learning AI platform automates image analyses with an approach that is faster and able to understand tissue context, which reduces steps needed for accurate results. Researchers can gain access to digitized samples, such as this image of breast-cancer tissue (left), and analyze results through the cloud platform anywhere, anytime. This is a whole slide image of a tissue section of an adrenal gland (right). Fimmic's WebMicroscope cloud platform allows researchers to manage, share, and view digital gigapixel images with any modern browser. Researchers can rapidly pan, zoom, and analyze a digital sample. Photographs: Courtesy of Fimmic Oy. in Deep learning brings speed, accuracy to the life sciences.
WebMicroscope's Deep Learning AI platform automates image analyses with an approach that is faster and able to understand tissue context, which reduces steps needed for accurate results. Researchers can gain access to digitized samples, such as this image of breast-cancer tissue (left), and analyze results through the cloud platform anywhere, anytime. This is a whole slide image of a tissue section of an adrenal gland (right). Fimmic's WebMicroscope cloud platform allows researchers to manage, share, and view digital gigapixel images with any modern browser. Researchers can rapidly pan, zoom, and analyze a digital sample. Photographs: Courtesy of Fimmic Oy.
Grape Polyphenols may prevent high fat diet-induced dampening of the hypothalamic-pituitary-adrenal axis in male mice
<p>Supplementary Materials. </p>
Phase II Study of PD-1 Inhibitor Combined With Apatinib and Mitotane in the Treatment of Advanced Adrenal Cortical Carcinoma
ClinicalTrials.gov study NCT06831175. IPD Sharing: NO. Countries: 1. Publications: 10.
National Education Programme for Patients With Chronic Adrenal Insufficiency
ClinicalTrials.gov study NCT02694926. IPD Sharing: YES. Countries: 1. Publications: 7.
Safety and Efficacy of Prednisolone in Adrenal Insufficiency Disease (PRED-AID Study)
ClinicalTrials.gov study NCT03936517. IPD Sharing: NO. Countries: 1. Publications: 0.
CRISAL Study:Cancer Risk In Secreting Adrenal Lesions
ClinicalTrials.gov study NCT06520111. IPD Sharing: YES. Countries: 1. Publications: 9.
Effects of 3 Months of Selective Serotonin Reuptake Inhibitor (SSRI)-Treatment on Metabolism and Hypothalamic-pituitary-adrenal (HPA)-Axis in Young Men Born With Low Birth Weight
ClinicalTrials.gov study NCT00971815. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Impact of Adrenal IncidenTalomas and Possible Autonomous Cortisol Secretion on Cardiovascular and Metabolic Alterations
ClinicalTrials.gov study NCT04127552. IPD Sharing: NO. Countries: 1. Publications: 1.
Optimising Steroid Replacement in Patients With Adrenal Insufficiency
ClinicalTrials.gov study NCT03282487. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Cardiovascular Status in Adrenal Insufficiency
ClinicalTrials.gov study NCT03426319. IPD Sharing: UNDECIDED. Countries: 1. Publications: 6.
VETC, Prognostic and Predictive Value in Renal Cell Carcinoma and Adrenal Carcinoma
ClinicalTrials.gov study NCT04666220. IPD Sharing: YES. Countries: 1. Publications: 21.
Diagnosis of Adrenal Insufficiency in Liver Cirrhosis Patients
ClinicalTrials.gov study NCT06206655. IPD Sharing: NO. Countries: 1. Publications: 5.
Role of the Protein Osteoprotegerin in the Bone Health of Women With Congenital Adrenal Hyperplasia
ClinicalTrials.gov study NCT00694525. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Hypothalamo-, Pituitary-, Adrenal Axis Dysfunction in Subarachnoid Hemorrhage
ClinicalTrials.gov study NCT00614887. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Fetal Adrenal Gland Volume Estimation Compared to Cervical Length Assessment in Prediction of Preterm Birth
ClinicalTrials.gov study NCT02351336. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Hypothalamic-Pituitary-Adrenal (HPA) Axis Study in Adult and Adolescent Subjects With Perennial Allergic Rhinitis (PAR)
ClinicalTrials.gov study NCT01133626. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Adrenal Venous Sampling in Patients With Overt or Subclinical Cushings Syndrome, and Bilateral Adrenal Tumors
ClinicalTrials.gov study NCT02543697. IPD Sharing: Not stated. Countries: 1. Publications: 1.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.