Purpose: Medical anatomy instruction has been an important issue of debate for many years and imaging anatomy has become an increasingly important component in the field, the role of which has not yet been clearly defined. The aim of the paper was to assess the current deployment of medical imaging in the teaching of anatomy by means of a review of the literature.
Materials: A systematic search was performed using the electronic database PubMed, ScienceDirect and various publisher databases, with combinations of the relevant MeSH terms. A manual research was added.
Results: In most academic curricula, imaging anatomy has been integrated as a part of anatomical education, taught using a very wide variety of strategies. Considerable variation in the time allocation, content and delivery of medical imaging in teaching human anatomy was identified. Given this considerable variation, an objective assessment remains quite difficult.
Discussion: In most publications, students' perceptions regarding anatomical courses including imaging anatomy were investigated by means of questionnaires and, regardless of the method of teaching, it was globally concluded that imaging anatomy enhanced the quality and efficiency of instruction in human anatomy. More objective evaluation based on an increase in students' performance on course examinations or on specific tests performed before and after teaching sessions showed positive results in numerous cases, while mixed results were also indicated by other studies.
Conclusion: A relative standardization could be useful in improving the teaching of imaging anatomy, to facilitate its assessment and reinforce its effectiveness.
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http://dx.doi.org/10.1007/s00276-015-1548-y | DOI Listing |
Invest Ophthalmol Vis Sci
January 2025
Department of Physics, Boise State University, Boise, Idaho, United States.
Purpose: To elucidate the mechanical properties of the bovine lens cortical membrane (CM), the nuclear membrane (NM) containing cholesterol bilayer domains (CBDs), and whole bovine lenses.
Methods: The total lipids (lipids plus cholesterol) from the cortex and nucleus of a single bovine lens were isolated using the monophasic methanol extraction method. Supported CMs and NMs were prepared from total lipids extracted from the cortex and nucleus, respectively, using a rapid solvent exchange method and probe-tip sonication, followed by the fusion of unilamellar vesicles on a flat, freshly cleaved mica surface.
Vet Med Sci
January 2025
Faculty of Health Sciences, Department of Nutrition and Dietetics, Karamanoglu Mehmetbey University, Karaman, Turkey.
The objective of this study is to assess the embryological and morphometric development of the chick cerebrum during specific incubation periods. The cerebrums of 24 Babcock White Leghorn chicks, six each from the 10th, 13th, 16th and 21st days of the incubation period, were used in the study. After removing the heads of fixed embryos from the upper edge of the atlas, the brains were taken out of the cranial cavity.
View Article and Find Full Text PDFTransl Vis Sci Technol
January 2025
FM Kirby Center for Molecular Ophthalmology, Scheie Eye Institute, Department of Ophthalmology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Purpose: Geographic atrophy (GA), an advanced form of dry age-related macular degeneration (AMD), has limited treatment options. This study introduces a novel mouse model featuring an expanding GA patch that can be used to test mechanisms and therapeutics.
Methods: C57Bl/6J male mice (n = 96) aged 9-10 weeks received an intraperitoneal (IP) injection of 20 mg/kg sodium iodate (NaIO3).
Multimed Man Cardiothorac Surg
January 2025
New Cross Hospital, Royal Wolverhampton NHS Trust, Wolverhampton, United Kingdom.
Robotic-assisted thoracic surgery has become increasingly utilized in recent years. Complex lung cancer resection surgery can be performed using a robotic approach. It facilitates 3-dimentional visualization of structures, enhanced manipulation of tissues and precise movements.
View Article and Find Full Text PDFRadiol Imaging Cancer
January 2025
Department of Radiology, University Medical Center Groningen, Groningen, the Netherlands.
Purpose To validate a deep learning (DL) model for predicting the risk of prostate cancer (PCa) progression based on MRI and clinical parameters and compare it with established models. Materials and Methods This retrospective study included 1607 MRI scans of 1143 male patients (median age, 64 years; IQR, 59-68 years) undergoing MRI for suspicion of clinically significant PCa (csPCa) (International Society of Urological Pathology grade > 1) between January 2012 and May 2022 who were negative for csPCa at baseline MRI. A DL model was developed using baseline MRI and clinical parameters (age, prostate-specific antigen [PSA] level, PSA density, and prostate volume) to predict the time to PCa progression (defined as csPCa diagnosis at follow-up).
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