OBJECTIVE: To evaluate the craniofacial asymmetry in adults with neglected congenital muscular torticollis (CMT) by quantitative assessment based on craniofacial three-dimensional computed tomography (3D-CT). METHODS: Preoperative craniofacial asymmetry was measured by 3D-CT for 31 CMT subjects > or =18 years of age who visited a tertiary medical center and underwent 3D-CT between January 2009 and December 2013. The relationship between the age and the severity of craniofacial asymmetry was analyzed in reference to anteroposterior length asymmetry of the frontal bone and zygomatic arch, vertical and lateral displacements of the facial landmarks, and mandibular axis rotation. RESULTS: The age at CT was 27.71+/-7.02 years (range, 18-44 years). All intra-class correlation coefficients were higher than 0.7, suggesting good inter-rater reliability (p<0.05) of all the measurements. The frontal and the zygomatic length ratio (i.e., the anteroposterior length asymmetry on the axial plane) was 1.06+/-0.03 and 1.07+/-0.03, respectively, which was increased significantly with age in the linear regression analysis (r2=0.176, p=0.019 and r2=0.188, p=0.015, respectively). The vertical or lateral displacement of the facial landmarks and rotation of the mandibular axis did not significantly correlate with age (p>0.05). CONCLUSION: Craniofacial asymmetry of neglected CMT became more severe with age in terms of anteroposterior length asymmetry of the ipsilateral frontal bone and zygomatic arch on the axial plane even after growth cessation. This finding may enhance the understanding of therapeutic strategies for craniofacial asymmetry in adults with neglected CMT.
Adult* ; Axis, Cervical Vertebra ; Craniofacial Abnormalities ; Facial Asymmetry ; Frontal Bone ; Humans ; Linear Models ; Torticollis* ; Zygoma

Purpose: To evaluate a deep learning model to predict recurrence of thyroid tumor using preoperative ultrasonography (US). Materials and Methods: We included representative images from 229 US-based patients (male:female = 42:187; mean age, 49.6 years) who had been diagnosed with thyroid cancer on preoperative US and subsequently underwent thyroid surgery. After selecting each representative transverse or longitudinal US image, we created a data set from the resulting database of 898 images after augmentation. The Python 2.7.6 and Keras 2.1.5 framework for neural networks were used for deep learning with a convolutional neural network. We compared the clinical and histological features between patients with and without recurrence. The predictive performance of the deep learning model between groups was evaluated using receiver operating characteristic (ROC) analysis, and the area under the ROC curve served as a summary of the prognostic performance of the deep learning model to predict recurrent thyroid cancer. Results: Tumor recurrence was noted in 49 (21.4%) among the 229 patients. Tumor size and multifocality varied significantly between the groups with and without recurrence (p < 0.05). The overall mean area under the curve (AUC) value of the deep learning model for prediction of recurrent thyroid cancer was 0.9 ± 0.06. The mean AUC value was 0.87 ± 0.03 in macrocarcinoma and 0.79 ± 0.16 in microcarcinoma. Conclusion A deep learning model for analysis of US images of thyroid cancer showed the possibility of predicting recurrence of thyroid cancer.

Cyclosporine is an immunosuppressive agent that plays an important therapeutic role for organ transplantation. However, complications due to type 1 renal tubular acidosis, albeit rare, have been reported. We experienced a case of severe metabolic acidosis associated with cyclosporine administration after renal transplantation. A 54-year old man was hospitalized for seizure, confusion and weakness. He demonstrated severe metabolic acidosis and hypokalemia. Continuous renal replacement therapy was started and sodium bicarbonate was administered to correct the acidosis and the dosage of cyclosporine was reduced. Thereafter, the cyclosporine level in whole blood decreased gradually, and the metabolic acidosis improved.
Acidosis ; Acidosis, Renal Tubular ; Cyclosporine ; Hypokalemia ; Kidney ; Kidney Transplantation ; Organ Transplantation ; Renal Replacement Therapy ; Seizures ; Sodium Bicarbonate ; Transplants