No abstract available.
Anti-Bacterial Agents* ; Appendicitis*

No abstract available.
Anti-Bacterial Agents* ; Appendicitis*

No abstract available.
Endoscopy ; Gastrointestinal Hemorrhage*

An osteoma is a relatively common benign mass found in paranasal sinus lesions and is usually asymptomatic. On the other hand, pneumocephalus associated with a frontal or ethmoid sinus osteoma is rare and may cause serious complications. We present a case of pneumocephalus associated with a frontoethmoid sinus osteoma and porencephaly along with a literature review.
Brain ; Ethmoid Sinus ; Hand ; Osteoma ; Paranasal Sinuses ; Pneumocephalus

A case of fibrocalcifying pseudotumor occuring at a very unusual site, the intraosseous region of axis, is presented. Previous reports of similar lesions in skull base, intracranial parenchyme, soft tissue around spine, mediastinum, and pleura have been described under the designation 'fibro-osseouslesions' and 'calcifying pseudoneoplasm' The etiology, pathogenesis and natural course of the lesion are still unknown. Bvt the lesion is probably benign nature and reactive lesion rather than neo-plastic. Authors performed resection of lamina, spinous process, and a portion of pedicles and occipitocervical fusion to prevent spinal cord compression due to cortical expansion or fracture. Microscopically, amorphous, basophilic, hyaline, and chondroid calcifying masses were rimmed by palisading histiocytes and foreign body-type giant cells. No evidence of malignancy was found.
Axis, Cervical Vertebra* ; Basophils ; Giant Cells, Foreign-Body ; Histiocytes ; Hyalin ; Mediastinum ; Pleura ; Skull Base ; Spinal Cord Compression ; Spine

No abstract available.
Candidiasis* ; Paget Disease, Extramammary* ; Vulva

Traumatic atlanto-occipital dislocation is usually fatal. To date, few cases have been reported in the literature because survival after traumatic atlanto-occipital dislocation is extremely rare. We present the case of a 47-year-old man with traumatic atlanto-occipital rotatory posterior dislocation combined with atlanto-axial rotatory subluxation and treated by occipito-cervical fusion using Bohlman's triple wiring technique.
Dislocations* ; Humans ; Middle Aged

Vaginal clear cell adenocarcinoma is a very rare malignant disease and it has been known to be associated with in utero exposure to DES. We expreienced a case of clear cell adenocarcinoma of the cagina in 40 years ole woman, and present the case with a brief review of related literatures.
Adenocarcinoma, Clear Cell* ; Female ; Humans ; Vagina*

Vaginal clear cell adenocarcinoma is a very rare malignant disease and it has been known to be associated with in utero exposure to DES. We expreienced a case of clear cell adenocarcinoma of the cagina in 40 years ole woman, and present the case with a brief review of related literatures.
Adenocarcinoma, Clear Cell* ; Female ; Humans ; Vagina*

Purpose: To overcome the difficulty in building a large data set with a high-quality in medical imaging, a concept of 'blended-transfer learning' (BTL) using a combination of both source data and target data is proposed for the target task. Materials and Methods: Source and target tasks were defined as training of the source and target networks to reconstruct cardiac CINE images from undersampled data, respectively. In transfer learning (TL), the entire neural network (NN) or some parts of the NN after conducting a source task using an open data set was adopted in the target network as the initial network to improve the learning speed and the performance of the target task. Using BTL, an NN effectively learned the target data while preserving knowledge from the source data to the maximum extent possible. The ratio of the source data to the target data was reduced stepwise from 1 in the initial stage to 0 in the final stage. Results: NN that performed BTL showed an improved performance compared to those that performed TL or standalone learning (SL). Generalization of NN was also better achieved. The learning curve was evaluated using normalized mean square error (NMSE) of reconstructed images for both target data and source data. BTL reduced the learning time by 1.25 to 100 times and provided better image quality. Its NMSE was 3% to 8% lower than with SL. Conclusion The NN that performed the proposed BTL showed the best performance in terms of learning speed and learning curve. It also showed the highest reconstructed-image quality with the lowest NMSE for the test data set. Thus, BTL is an effective way of learning for NNs in the medical-imaging domain where both quality and quantity of data are always limited.