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Psychometric Evidence and Measurement Invariance by College-Going Status for the Inventory of the Dimensions of Emerging Adulthood (IDEA).
J Pers Assess
January 2025
Department of Counselor Education and School Psychology, Duquesne University.
Numerous versions exist of the Inventory of the Dimensions of Emerging Adulthood (IDEA), which is used to assess normative markers of development in the 18-29 age range. However, their comparative psychometric properties have not been adequately explored, and samples including non-college-going emerging adults are rare. In Study 1, confirmatory factor analyses using survey data from 429 college-going and non-college-going emerging adults (52% female, 44% non-white) showed the IDEA-Short Form (IDEA-SF) to be the most psychometrically and conceptually sound version, demonstrating good fit for the five-factor model proposed by Arnett's (2004) theory of emerging adulthood; initial evidence for concurrent validity of the IDEA-SF scores was also presented.
View Article and Find Full Text PDFSynergistic strategies: histone deacetylase inhibitors and platinum-based drugs in cancer therapy.
Expert Rev Anticancer Ther
January 2025
Department of Pharmacy, Guru Ghasidas University, Bilaspur, C.G, India-, ().
Introduction: The synergistic combination of histone deacetylase inhibitors and platinum-based medicines represents a promising therapeutic strategy to efficacy and overcome drug resistance in cancer therapy, necessitating a comprehensive on their molecular interactions and clinical potential.
Areas Covered: The objective of presented review is to investigate the molecular pathways of platinum medicines and HDAC inhibitors. A comprehensive literature review from 2011 to 2024 was conducted across multiples databases like MEDLINE, PubMed, Google Scholar, Science Direct, Scopus and official websites of ClinicalTrial.
Use of AI in Cardiac CT and MRI: A Scientific Statement from the ESCR, EuSoMII, NASCI, SCCT, SCMR, SIIM, and RSNA.
Radiology
January 2025
From the Department of Radiology, University of Washington, UW Medical Center-Montlake, Seattle, Wash (D.M.); Department of Radiology, OncoRad/Tumor Imaging Metrics Core (TIMC), University of Washington, Seattle, Wash (D.M.); Department of Radiology and Imaging Sciences, Emory University, Atlanta, Ga (M.v.A.); Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands (M.H.); Department of Radiology, Mayo Clinic, Rochester, Minn (T.L., E.E.W.); Departments of Cardiology and Radiology, Royal Brompton Hospital, London, United Kingdom (E.D.N.); School of Biomedical Engineering and Imaging Sciences, King's College, London, United Kingdom (E.D.N.); Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (B.D.A.); Department of Radiology, University of Cagliari, Cagliari, Italy (L.S.); Department of Radiology, University of Groningen, University Medical Center Groningen, Hanzeplein 1 Postbus 30 001, 9700 RB Groningen, the Netherlands (R.V.); Department of Medical Imaging, University Medical Imaging Toronto, University of Toronto, Toronto, Ontario, Canada (K.H.); and Toronto General Hospital Research Institute, University Health Network, University of Toronto, Toronto, Ontario, Canada (K.H.).
Artificial intelligence (AI) offers promising solutions for many steps of the cardiac imaging workflow, from patient and test selection through image acquisition, reconstruction, and interpretation, extending to prognostication and reporting. Despite the development of many cardiac imaging AI algorithms, AI tools are at various stages of development and face challenges for clinical implementation. This scientific statement, endorsed by several societies in the field, provides an overview of the current landscape and challenges of AI applications in cardiac CT and MRI.
View Article and Find Full Text PDFEvaluation of the Efficiency of Ultrasonography and Color Doppler in Diagnosis of Intraosseous Jaw Lesions: An Study.
J Contemp Dent Pract
October 2024
Department of Prosthodontics, Dr. D.Y. Patil Dental College and Hospital, Dr. D.Y. Patil Vidyapeeth, Pune, Maharashtra, India.
Aim: The current investigation aimed to evaluate the accuracy of ultrasonography and color Doppler performed in the diagnosis of intraosseous jaw lesions.
Materials And Methods: A total of 30 patients with intraosseous jaw lesions between the ages of 12 and 60 were selected for the present study. For every jaw lesion, a preliminary diagnosis was done using preoperative conventional radiographs.
Pathogenicity assessment of genetic variants identified in patients with severe hypertriglyceridemia: novel cases of Familial Chylomicronemia Syndrome from the Dyslipidemia Registry of the Spanish Atherosclerosis Society.
Genet Med
January 2025
Lipids and Atherosclerosis Laboratory, Department of Medicine and Dermatology, Centro de Investigaciones Médico Sanitarias (CIMES), Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina (IBIMA -Plataforma Bionand), University of Málaga, Málaga, Spain; Lipid Unit. Internal Medicine Service. University Hospital Virgen de la Victoria, Málaga, Spain.
Purpose: Genetic testing is required to confirm a diagnosis of familial chylomicronemia syndrome (FCS). We assessed the pathogenicity of variants identified in the FCS canonical genes to diagnose FCS cases.
Methods: 245 patients with severe hypertriglyceridemia underwent next-generation sequencing.
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