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'''Abstract:'''In the 3rd clinical case involving a patient with a meningioma, named Balancer, the initial diagnostic focus was on postural and masticatory disturbances, presumed to be linked to prosthetic rehabilitation discrepancies. Upon further examination, it became evident that the neurological components of the trigeminal system, rather than dental issues, played a more significant role in the patient’s symptoms. The diagnostic sequence followed the Masticationpedia model, which utilizes a 'Cognitive Neural Network' (CNN) to analyze various clinical and electrophysiological data, ultimately guiding the diagnostic path. | |||
The case presented challenges in deciphering whether the patient's postural and masticatory difficulties were caused by prosthetic misalignments or deeper neurological damage. Initial tests showed masseter muscle asymmetries, jaw jerk reflex absence, and delays in the silent period, suggesting trigeminal nerve dysfunction rather than occlusal disturbances. This led to further exploration using Motor Evoked Potentials (MEPs), which confirmed structural neurological damage. | |||
Through this process, a brain MRI revealed a compressive meningioma affecting the midbrain and trigeminal system. The study’s conclusion reinforced the necessity of differentiating between functional and organic neurological damage when interpreting clinical signs like asymmetry, emphasizing the importance of neurophysiological evaluation. The case also highlights the need for careful interpretation of postural and occlusal correlations, especially in complex neuroanatomical cases. | |||
This diagnostic framework underscores the significance of integrating both neurological and dental contexts in complex clinical presentations, ensuring a comprehensive understanding of the patient’s condition before making a conclusive diagnosis. | |||
===Introduction=== | ===Introduction=== | ||
In the introductory chapter concerning the 3rd clinical case affected by meningioma in which the masticatory difficulty reported by the patient 'Balancer' had been correlated to a prosthetic rehabilitation discrepancy, we have already arrived at a first diagnostic filter considering the neurological assertion to be valid than the dental one. Consequently, one can concentrate on intercepting the tests necessary to decrypt the machine language code that the CNS sends out converted into verbal language. Apparently this verbal language would address the case in a Postural disorder related to a dental malocclusion due to incongruous prosthetic rehabilitation. If, on the one hand, there may be an asymmetry of the interferential EMG of the masseters due to a prosthetic occlusal imbalance, on the other, such an evident asymmetry of the jaw jerk and the silent period cannot be justified. For this reason, it is essential to continue with the Masticationpedia diagnostic model in order to arrive at an exact and rapid conclusive diagnosis. We therefore begin with the 'Cognitive Neural Network' which responds, as we know by now, with a sequence of scientific-clinical data, always taking into consideration the importance of the 'initiation' step which in this case has been set in 'Gait'. | In the introductory chapter concerning the 3rd clinical case affected by meningioma in which the masticatory difficulty reported by the patient 'Balancer' had been correlated to a prosthetic rehabilitation discrepancy, we have already arrived at a first diagnostic filter considering the neurological assertion to be valid than the dental one. Consequently, one can concentrate on intercepting the tests necessary to decrypt the machine language code that the CNS sends out converted into verbal language. Apparently this verbal language would address the case in a Postural disorder related to a dental malocclusion due to incongruous prosthetic rehabilitation. If, on the one hand, there may be an asymmetry of the interferential EMG of the masseters due to a prosthetic occlusal imbalance, on the other, such an evident asymmetry of the jaw jerk and the silent period cannot be justified. For this reason, it is essential to continue with the Masticationpedia diagnostic model in order to arrive at an exact and rapid conclusive diagnosis. We therefore begin with the 'Cognitive Neural Network' which responds, as we know by now, with a sequence of scientific-clinical data, always taking into consideration the importance of the 'initiation' step which in this case has been set in 'Gait'. |
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