A summary of the Russian clinical guidelines on the diagnosis and treatment of osteoporosis.

Key statements of the Russian clinical guidelines on the diagnosis and treatment of osteoporosis are summarized. They were developed by a task force representing the key Russian professional associations involved in the management of osteoporosis and approved by the Russian Ministry of Health. PURPOSE: To summarize key statements of the Russian clinical practice guidelines for the diagnosis and treatment of osteoporosis. METHODS: The Russian clinical guidelines on the diagnosis and treatment of osteoporosis were developed by a task force representing the key Russian professional associations involved in the management of osteoporosis: These comprised the Russian Association of Endocrinologists, the Russian Association for Osteoporosis, the Association of Rheumatologists of Russia, the Association of Orthopedic surgeons and Traumatologists of Russia, the Russian Association of Gynecologists-Endocrinologists, and the Russian Association of Gerontologists and Geriatrics. The guidelines are based on a systematic literature review and principles of evidence-based medicine and were compiled in accordance with the requirements for clinical recommendations developed by the Ministry of Health of the Russian Federation. RESULTS: Key statements included in the Russian guidelines of osteoporosis approved by the Russian Ministry of Health in 2021 are summarized. The statements are graded based on levels of evidence and supported by short comments. The guidelines are focused on the current approach to screening, diagnosis, differential diagnosis, and treatment of osteoporosis. CONCLUSION: These guidelines are a practical tool for general practitioners, as well as medical specialists, primarily endocrinologists, rheumatologists, orthopedic surgeons, and other physicians who are involved in the management of patients with osteoporosis.

Interpretable vertebral fracture quantification via anchor-free landmarks localization.

Vertebral body compression fractures are early signs of osteoporosis. Though these fractures are visible on Computed Tomography (CT) images, they are frequently missed by radiologists in clinical settings. Prior research on automatic methods of vertebral fracture classification proves its reliable quality; however, existing methods provide hard-to-interpret outputs and sometimes fail to process cases with severe abnormalities such as highly pathological vertebrae or scoliosis. We propose a new two-step algorithm to localize the vertebral column in 3D CT images and then detect individual vertebrae and quantify fractures in 2D simultaneously. We train neural networks for both steps using a simple 6-keypoints based annotation scheme, which corresponds precisely to the current clinical recommendation. Our algorithm has no exclusion criteria, processes 3D CT in 2 seconds on a single GPU, and provides an interpretable and verifiable output. The method approaches expert-level performance and demonstrates state-of-the-art results in vertebrae 3D localization (the average error is 1mm), vertebrae 2D detection (precision and recall are 0.99), and fracture identification (ROC AUC at the patient level is up to 0.96). Our anchor-free vertebra detection network shows excellent generalizability on a new domain by achieving ROC AUC 0.95, sensitivity 0.85, specificity 0.9 on a challenging VerSe dataset with many unseen vertebra types.

Diffusion processes modeling in magnetic resonance imaging.

BACKGROUND: The paper covers modern approaches to the evaluation of neoplastic processes with diffusion-weighted imaging (DWI) and proposes a physical model for monitoring the primary quantitative parameters of DWI and quality assurance. Models of hindered and restricted diffusion are studied. MATERIAL AND METHOD: To simulate hindered diffusion, we used aqueous solutions of polyvinylpyrrolidone with concentrations of 0 to 70%. We created siloxane-based water-in-oil emulsions that simulate restricted diffusion in the intracellular space. To obtain a high signal on DWI in the broadest range of b values, we used silicon oil with high T2: cyclomethicone and caprylyl methicone. For quantitative assessment of our phantom, we performed DWI on 1.5T magnetic resonance scanner with various fat suppression techniques. We assessed water-in-oil emulsion as an extracorporeal source signal by simultaneously scanning a patient in whole-body DWI sequence. RESULTS: We developed phantom with control substances for apparent diffusion coefficient (ADC) measurements ranging from normal tissue to benign and malignant lesions: from 2.29 to 0.28 mm2/s. The ADC values of polymer solutions are well relevant to the mono-exponential equation with the mean relative difference of 0.91%. CONCLUSION: The phantom can be used to assess the accuracy of the ADC measurements, as well as the effectiveness of fat suppression. The control substances (emulsions) can be used as a body marker for quality assurance in whole-body DWI with a wide range of b values.

Age and Gender Differences of the Frontal Bone: A Computed Tomographic (CT)-Based Study.

BACKGROUND: Age-related changes of the frontal bone in both males and females have received limited attention, although understanding these changes is crucial to developing the best surgical and nonsurgical treatment plans for this area. OBJECTIVES: To investigate age-related and gender-related changes of the forehead. METHODS: Cranial computed tomographic images from 157 Caucasian individuals were investigated (10 males and 10 females from each of the following decades: 20-29 years, 30-39 years, 40-49 years, 50-59 years, 60-69 years, 70-79 years, 80-89 years, and of 8 males and 9 females aged 90-98 years). Frontal bone thickness and forehead distance measurements were carried out to analyze age and gender differences. RESULTS: With increasing age, the size of a male forehead reduces until no significant differences to a female forehead is present at old age (P = 0.307). The thickness of the frontal bone of the lower forehead (≤4 cm cranial to the nasal root) increased slightly in both genders with increasing age. In the upper forehead (≥4 cm cranial to the nasal root), frontal bone thickness decreased significantly (P = 0.002) in males but showed no statistically significant change in thickness in females (P = 0.165). CONCLUSIONS: The shape of the frontal bone varies in young individuals of different genders and undergoes complex changes with age because of bone remodeling. Understanding these bony changes, in addition to those in the soft tissues, helps physicians choose the best surgical and nonsurgical treatment options for the forehead.