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Accessory soleus muscle; Axillary arch; Epitrochleoanconeus muscle - or anconeous epitrochlearis; Extensor medii proprius muscle; Extensor digitorum brevis manus muscle; Extensor indicis et medii communis muscle
MRI imaging appears to be the gold standard for diagnosing a tethered cord. [16] [17] A tethered cord is often diagnosed as a "low conus". The conus medullaris (or lower termination of the spinal cord) normally terminates at or above the L1-2 disk space (where L1 is the first, or topmost lumbar vertebra). After about 3 months of age, a conus ...
Accessory navicular bone may cause a continuous stretch and stress on the tibialis posterior tendon which can progress to chronic disabling pain and may cause tendon rupture or secondary flat foot deformity; when this occurs this condition is commonly known as accessory navicular syndrome.
The ossicles (also called auditory ossicles) are three irregular bones in the middle ear of humans and other mammals, and are among the smallest bones in the human body. . Although the term "ossicle" literally means "tiny bone" (from Latin ossiculum) and may refer to any small bone throughout the body, it typically refers specifically to the malleus, incus and stapes ("hammer, anvil, and ...
Diastematomyelia is a "dysraphic state" of unknown embryonic origin, but is probably initiated by an accessory neurenteric canal (an additional embryonic spinal canal.).) This condition may be an isolated phenomenon or may be associated with other segmental anomalies of the vertebral bodies such as spina bifida, kyphoscoliosis, butterfly vertebra, hemivertebra and block vertebrae which are ...
The filum terminale is situated centrally [2] amid the spinal nerve roots of the cauda equina [3] [2] (but is not itself a part of the cauda equina [2]).. The inferior-most spinal nerve, the coccygeal nerve, leaves the spinal cord at the level of the conus medullaris via respective vertebrae through their intervertebral foramina, superior to the filum terminale.
Summers' lab is known for pioneering work in the application of deep learning to problems in medical imaging such as computer aided detection, classification, and segmentation. A February 2016 paper from his lab exploring convolutional neural network architectures and transfer learning for lymph node detection and interstitial lung disease ...
Multiple sclerosis is typically diagnosed based on the presenting signs and symptoms, in combination with supporting medical imaging and laboratory testing. [4] It can be difficult to confirm, especially early on, since the signs and symptoms may be similar to those of other medical problems.