Essential anatomy for core clerkships: A clinical perspective.

Clerkships are defining experiences for medical students in which students integrate basic science knowledge with clinical information as they gain experience in diagnosing and treating patients in a variety of clinical settings. Among the basic sciences, there is broad agreement that anatomy is foundational for medical practice. Unfortunately, there are longstanding concerns that student knowledge of anatomy is below the expectations of clerkship directors and clinical faculty. Most allopathic medical schools require eight "core" clerkships: internal medicine (IM), pediatrics (PD), general surgery (GS), obstetrics and gynecology (OB), psychiatry (PS), family medicine (FM), neurology (NU), and emergency medicine (EM). A targeted needs assessment was conducted to determine the anatomy considered important for each core clerkship based on the perspective of clinicians teaching in those clerkships. A total of 525 clinical faculty were surveyed at 24 United States allopathic medical schools. Participants rated 97 anatomical structure groups across all body regions on a 1-4 Likert-type scale (1 = not important, 4 = essential). Non-parametric ANOVAs determined if differences existed between clerkships. Combining all responses, 91% of anatomical structure groups were classified as essential or more important. Clinicians in FM, EM, and GS rated anatomical structures in most body regions significantly higher than at least one other clerkship (p = 0.006). This study provides an evidence-base of anatomy content that should be considered important for each core clerkship and may assist in the development and/or revision of preclinical curricula to support the clinical training of medical students.

Dysfunctional paraspinal muscles in adult spinal deformity patients lead to increased spinal loading.

PURPOSE: Decreased spinal extensor muscle strength in adult spinal deformity (ASD) patients is well-known but poorly understood; thus, this study aimed to investigate the biomechanical and histopathological properties of paraspinal muscles from ASD patients and predict the effect of altered biomechanical properties on spine loading. METHODS: 68 muscle biopsies were collected from nine ASD patients at L4-L5 (bilateral multifidus and longissimus sampled). The biopsies were tested for muscle fiber and fiber bundle biomechanical properties and histopathology. The small sample size (due to COVID-19) precluded formal statistical analysis, but the properties were compared to literature data. Changes in spinal loading due to the measured properties were predicted by a lumbar spine musculoskeletal model. RESULTS: Single fiber passive elastic moduli were similar to literature values, but in contrast, the fiber bundle moduli exhibited a wide range beyond literature values, with 22% of 171 fiber bundles exhibiting very high elastic moduli, up to 20 times greater. Active contractile specific force was consistently less than literature, with notably 24% of samples exhibiting no contractile ability. Histological analysis of 28 biopsies revealed frequent fibro-fatty replacement with a range of muscle fiber abnormalities. Biomechanical modelling predicted that high muscle stiffness could increase the compressive loads in the spine by over 500%, particularly in flexed postures. DISCUSSION: The histopathological observations suggest diverse mechanisms of potential functional impairment. The large variations observed in muscle biomechanical properties can have a dramatic influence on spinal forces. These early findings highlight the potential key role of the paraspinal muscle in ASD.

Quantitative identification and segmentation repeatability of thoracic spinal muscle morphology.

OBJECTIVE: MRI derived spinal-muscle morphology measurements have potential diagnostic, prognostic, and therapeutic applications in spinal health. Muscle morphology in the thoracic spine is an important determinant of kyphosis severity in older adults. However, the literature on quantification of spinal muscles to date has been limited to cervical and lumbar regions. Hence, we aim to propose a method to quantitatively identify regions of interest of thoracic spinal muscle in axial MR images and investigate the repeatability of their measurements. METHODS: Middle (T4-T5) and lower (T8-T9) thoracic levels of six healthy volunteers (age 26 ± 6 years) were imaged in an upright open scanner (0.5T MROpen, Paramed, Genoa, Italy). A descriptive methodology for defining the regions of interest of trapezius, erector spinae, and transversospinalis in axial MR images was developed. The guidelines for segmentation are laid out based on the points of origin and insertion, probable size, shape, and the position of the muscle groups relative to other recognizable anatomical landmarks as seen from typical axial MR images. 2D parameters such as muscle cross-sectional area (CSA) and muscle position (radius and angle) with respect to the vertebral body centroid were computed and 3D muscle geometries were generated. Intra and inter-rater segmentation repeatability was assessed with intraclass correlation coefficient (ICC (3,1)) for 2D parameters and with dice coefficient (DC) for 3D parameters. RESULTS: Intra and inter-rater repeatability for 2D and 3D parameters for all muscles was generally good/excellent (average ICC (3,1) = 0.9 with ranges of 0.56-0.98; average DC = 0.92 with ranges from 0.85-0.95). CONCLUSION: The guidelines proposed are important for reliable MRI-based measurements and allow meaningful comparisons of muscle morphometry in the thoracic spine across different studies globally. Good segmentation repeatability suggests we can further investigate the effect of posture and spinal curvature on muscle morphology in the thoracic spine.