The author selected the set of ICF (International Classification of Functioning, Disability and Health) categories selected for breast cancer patients presenting with the major late complications of the surgical treatment, such as upper limp lymphedema, pain syndrome, and mobility limitation in the shoulder joint on the side of the intervention. The problems associated with each component of ICF are described including the body functions - 26 categories, body structures - 15, activities and participation - 49, environmental factors - 31 categories. The author's original classifications are adapted to the ICF terminology. The criteria for estimating the determinants of the structure of spinal nerves, lymph nodes and vessels, veins, the mammary gland, upper extremities, muscles of the trunk, the skin and the related structures have been developed. All the changes in the body functions are described and the methods are proposed for the evaluation of the determinants or the mental and sensory functions, the cardiovascular, immune and respiratory systems, neuromuscular and skeletal functions, the functions of the skin and the related structures. The principles of coding for the components of activity and participation are illustrated (general tasks and requirements, mobility, self-service, everyday life, interpersonal interactions and relationships, main spheres of life, community life, social and civil life) and the environmental factors. The coding is presented in the form of detailed and readily intelligible tables with the explanatory remarks.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.17116/kurort20189505158 | DOI Listing |
Int J Syst Evol Microbiol
January 2025
Department of Infectious Disease, Institute for Biomedicine, Sahlgrenska Academy, University of Gothenburg, P.O. Box 7193, SE-402 34 Gteborg, Sweden.
The editorial Board of the (ICNP) - the Prokaryotic Code - has compiled already ratified proposed emendations of the ICNP, together with additional editorial changes and clarifications. These were implemented in a draft 2025 revision of the . To comply with Articles 13(b)(4) and 4(d) of the statutes of the International Committee on Systematics of Prokaryotes (ICSP), a public discussion of the document will start on 1 January (or later if required) 2025, to last for 6 months.
View Article and Find Full Text PDFCVIR Endovasc
January 2025
Department of Radiology, Graduate School of Medicine, Juntendo University, 2-1-1 Hongo Bunkyo-Ku, Tokyo, 113-8421, Japan.
Background: Classifying uterine fibroid using the International Federation of Gynecology and Obstetrics (FIGO) classification system assists treatment decision-making and planning. This study aimed to study whether different fibroid locations influence clinical outcomes following uterine artery embolization (UAE).
Methods: This is a retrospective cohort study of patients who underwent UAE for symptomatic uterine fibroid between December 2016 and January 2023 at our hospital.
Int J Syst Evol Microbiol
January 2025
Institute of Microbiology, University Hospital and University of Lausanne, Bugnon 48, CH-1011 Lausanne, Switzerland.
Subcommittee on the taxonomy of : minutes of the closed meeting, Zoom meeting, 24 September 2024.
View Article and Find Full Text PDFInt J Gynecol Cancer
January 2025
Institute of Image-Guided Surgery, IHU Strasbourg, France; University of Strasbourg, ICube, Laboratory of Engineering, Computer Science and Imaging, Department of Robotics, Imaging, Teledetection and Healthcare Technologies, CNRS, UMR, Strasbourg, France.
Objective: Evaluation of prognostic factors is crucial in patients with endometrial cancer for optimal treatment planning and prognosis assessment. This study proposes a deep learning pipeline for tumor and uterus segmentation from magnetic resonance imaging (MRI) images to predict deep myometrial invasion and cervical stroma invasion and thus assist clinicians in pre-operative workups.
Methods: Two experts consensually reviewed the MRIs and assessed myometrial invasion and cervical stromal invasion as per the International Federation of Gynecology and Obstetrics staging classification, to compare the diagnostic performance of the model with the radiologic consensus.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!