Antemortem Diagnosis of Cardiac Metastasis Available in a Patient with Primary Tongue Carcinoma

We report a rare case of a patient suffering from cardiac metastasis with tongue carcinoma. A 71-year-old Japanese man was admitted to our clinic at Tottori University Hospital in June 1997. We diagnosed his disease as stage T2 N2 M0 squamous cell carcinoma of the tongue, and performed a partial resection of the tongue and a right-side radical neck dissection. The postoperative course was uneventful, and follow-up was continued. In March 1998, he visited us complaining of anorexia and constipation. On electrocardiogram (ECG), ST waves were elevated in leads I, aVL, V5 and V6, and depressed in lead aVF. Cardiac echogram revealed a shadow-like tumor in the lower portion at the lateral wall of the left ventricle. He had a sudden and serious arrhythmic attack on 12 March, and he died of cardiac insufficiency by arrhythmia on 22 March 1998. An autopsy showed that a cardiac tumor had invaded mainly into the anterior and lateral wall of the left ventricle, and had reached the septum. Microscopically, the tongue carcinoma had invaded the myocardium. With the uncommon ECG and cardiac-echographic findings, we could clinically make an antemortem diagnosis for the present patient. The paucity of antemortem diagnosis of cardiac metastasis in the literature emphasizes the uniqueness

How Are Statistical Parameters of the Velocity Vector of Body Sway Distributed in Normal Human Subjects?

The velocity vector when the human body sways has been qualitatively evaluated in clinical sessions. We quantitatively measured the velocity vector for 1 min in 89 normal subjects standing in a stable posture, and examined distributions of quantities of the velocity vector. The velocity vector was measured with a stabilometer, which visualizes the vector as magnitudes radially projected from the center to the periphery into 36 directions by 10°. The 3 quantities we calculated from the 36 scalars of the vector per subject were the coefficient of correlation (CV), skewness and kurtosis, which were analyzed statistically. Values of skewness were normally distributed. Values of CV and kurtosis were log-normally distributed when adjusted with log transformation. Then, we calculated standardized values of the normal distributions, from which the lower and upper cutoff values in the 95% and 99% areas were available. The 3 quantities showed statistically significant correlations with one another, although the levels were low. Thus, in the present study, use of the 3 parameters enabled us to quantitatively evaluate the whole image of velocity vector, which would simplify the procedures of examination and shorten the time required for differential diagnosis

Clinicopathological features of advanced gastric cancer discovered after Helicobacter pylori eradication

　Helicobacter pylori infection is closely associated with gastric cancer, and its eradication is expected to prevent gastric cancer. However, gastric cancer is often detected discovered after eradication therapy for H. pylori infection. We aimed to investigate the endoscopic and clinical features of advanced gastric cancer after H. pylori eradication.　We retrospectively investigated tumor location, macroscopic and histological type, endoscopic gastric mucosal atrophy (using the Kimura-Takemoto classification), and the interval between eradication and detection of gastric cancer.　Nine patients (five males; mean age, 65.3 years [range, 44-79 years]), histologically diagnosed with advanced gastric cancer after successful H. pylori eradication between April 2003 and December 2018, were enrolled in this study.　In all cases, the cancer was located in the middle-to-upper portion of the stomach. With respect to macroscopic type, six cases were ulcerative, two were scirrhous, and one was polypoid. Histologically, all cancers were poorly or moderately differentiated adenocarcinomas. Endoscopic mucosal atrophy was mild in two cases, moderate in two cases, and severe in five cases. Two cases of scirrhous tumors developed from mild mucosal atrophy. Moreover, the tumor was detected within 36 months after H. pylori eradication in six patients (maximum: 120 months, mean: 38.7 months).　Our data demonstrated that post-eradicated advanced gastric cancers were located in the middle-to-upper portion of the stomach and were mainly ulcerative, poorly or moderately differentiated adenocarcinoma. More than half of the patients exhibited severe mucosal atrophy

조선과 일본에서의 현모양처 사상에 관한 비교연구 : 개화기로부터 1940년대 전반을 중심으로

학위논문(석사)--서울대학교 대학원 :사회학과,1999.Maste

Clinicopathological features of advanced gastric cancer discovered after Helicobacter pylori eradication

Regular Articlejournal articl

Development of an Automatic Ultrasound Image Classification System for Pressure Injury Based on Deep Learning

The classification of ultrasound (US) findings of pressure injury is important to select the appropriate treatment and care based on the state of the deep tissue, but it depends on the operator’s skill in image interpretation. Therefore, US for pressure injury is a procedure that can only be performed by a limited number of highly trained medical professionals. This study aimed to develop an automatic US image classification system for pressure injury based on deep learning that can be used by non-specialists who do not have a high skill in image interpretation. A total 787 training data were collected at two hospitals in Japan. The US images of pressure injuries were assessed using the deep learning-based classification tool according to the following visual evidence: unclear layer structure, cobblestone-like pattern, cloud-like pattern, and anechoic pattern. Thereafter, accuracy was assessed using two parameters: detection performance, and the value of the intersection over union (IoU) and DICE score. A total of 73 images were analyzed as test data. Of all 73 images with an unclear layer structure, 7 showed a cobblestone-like pattern, 14 showed a cloud-like pattern, and 15 showed an anechoic area. All four US findings showed a detection performance of 71.4–100%, with a mean value of 0.38–0.80 for IoU and 0.51–0.89 for the DICE score. The results show that US findings and deep learning-based classification can be used to detect deep tissue pressure injuries