A Prospective Survey of the Incidence of Cranial and Cervical Nerve Injuries After Carotid Surgery.

BACKGROUND: To prospectively evaluate the involvement of the cranial nerves and cervical plexus branches during carotid surgery and to look for risk factors. METHODS: All patients (n = 50) undergoing carotid endarterectomy between June 1st and October 31st, 2016 in our center were evaluated prospectively. A complete neurological examination was done before the intervention then daily until hospital discharge, and then at 2 months, 6 months and 1 year. A nasal endoscopy was systematically performed postoperatively before discharge by an ear, nose, and throat specialist. RESULTS: Twenty-six patients (52%) had at least one damaged nerve immediately after surgery. There were 15 cases involving the VII nerve (30%), 12 the C2-C3 branches (24%), 7 the XII nerve (14%), and 2 the X nerve (4%). At 2 months, 6 months, and 1 year, 22%, 16%, and 8% of lesions remained, respectively. We found no independent factor for nerve damage at 6 months or 1 year. In the case of dysphonia and/or dysphagia without recurrent nerve paralysis, 6 hematomas and 7 laryngeal edemas were identified under nasal endoscopy and all healed without sequelae. CONCLUSIONS: This prospective study showed cranial and cervical nerve injury to be much more frequent than expected in the short-term, when assessed by independent ear, nose, and throat and nasal endoscopy exam. Though mainly transient, these lesions can cause post-operative functional discomfort and must be disclosed preoperatively to the patient, in view of the judicialization of health care.

Classification of Wideband Tympanometry by Deep Transfer Learning With Data Augmentation for Automatic Diagnosis of Otosclerosis.

Otosclerosis is a common disease of the middle ear leading to stapedial fixation. Its rapid and non-invasive diagnosis could be achieved through wideband tympanometry (WBT), but the interpretation of the raw data provided by this tool is complex and time-consuming. Convolutional neural networks (CNN) could potentially be applied to this situation to help the clinicians categorize WBT data. A dataset containing 135 samples from 80 patients with otosclerosis and 55 controls was obtained. We designed a lightweight CNN to categorize samples into the otosclerosis and control. Receiver operating characteristic (ROC) analysis showed an area under the curve (AUC) of 0.95 ±0.011, and the F1-score was 0.89 ±0.031 ( r=10). The performance was further improved by data augmentation schemes and transfer learning strategies (AUC: 0.97 ±0.010, F1-score: 0.94 ±0.016, , ANOVA). Finally, the most relevant diagnostic features employed by the CNN were assessed via the activation pattern heatmaps. These results are crucial for the visual interpretation of WBT graphic outputs which clinicians use in routine, and for a better understanding of the WBT signal in relation to the ossicular mechanics.

Evaluation of the quality of the information received during head and neck cancer announcement: Prospective two-center study.

BACKGROUND: Providing patient with cancer with appropriate information following the disclosure of a cancer diagnosis has multiple benefits. The objective was to evaluate the quality of the information received during an announcement for head and neck cancer and to determine predictive factors. METHODS: We conducted a prospective two-center study using self-questionnaires to assess the patient's perception of the quality of the announcement. RESULTS: Satisfaction scores on the information provided about the overall disease were 7.7/10. The main positive predictors of quality were a satisfactory consultation setting (P = .004), assessment of pain by a physician (P = .04), physician availability (P = .003), accurate information about tumor stage, quality of information regarding the type (P < .0001) and purpose (P = .001) of treatment and its side effects (P = .006), and the interview with the oncology nurse coordinator (P < .05). CONCLUSIONS: Patients who received the announcement of head and neck cancer perceived the information received during the pretherapeutic period as satisfactory.