35 research outputs found

    Spontaneous Erythroid Leukemia in a 7-Week-Old Crl:CD (SD) Rat

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    A young male Crl:CD (SD) rat with erythroid leukemia that presented with emaciation, abdominal distension and a pale visible mucosal membrane was euthanized at 7 weeks of age. At necropsy, enlargement of liver, spleen and pancreatic lymph node was noted. Analysis of blood smear samples revealed many mono- or binucleated erythroblasts that had PAS-positive vacuoles in the cytoplasm. Histopathologically, neoplastic proliferation of atypical cells was observed in the hepatic sinusoids, splenic red pulp, bone marrow, pancreatic lymph node, kidney and lung. Neoplastic cells showed a round to spindle shape, and some neoplastic cells had deeply stained small nuclei and small cytoplasms and resembled erythroblasts. Immunohistochemically, many neoplastic cells were positive for hemoglobin. To our knowledge, this is the first report of erythroid leukemia in a rat of this age. The observed features were similar to those of pure erythroid leukemia in humans

    Focusing on the Experience of ā€œIllnessā€ : Narratives by Patients who Suffered from a Heart Attack

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    Cardiac disease including heart attack draw the attention of the people in Japan as a typical ā€œdiseaseā€. In recent years, a treatment of heart attack as ā€œ diseaseā€ has developed because of the progress of medical technology as well as the diffusion of knowledge about it. However, a treatment of heart attack as ā€œillnessā€ is not enough, and the attention of a treatment of heart attack as ā€œillnessā€ is growing. This study focuses on how patients experience a heart attack as subjective ā€œ illness ā€. Twelve Japanese adults were interviewed to explore the experience of ā€œillnessā€ of patients. As a result, the experience of ā€œillnessā€ alters with time. Furthermore, this finding suggested that not only characteristics of heart attack as ā€œdiseaseā€ but also individual history have an influence on the experience of ā€œillnessā€. Additionally, this findings indicates that the necessity of hearing ā€œTHE ILLNESS NARRATIVESā€

    Adrenal dysplasia in a young SD rat

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    Evaluation of the Usefulness of CO-RADS for Chest CT in Patients Suspected of Having COVID-19

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    The purpose of this study was to use the Coronavirus Disease 2019 (COVID-19) Reporting and Data System (CO-RADS) to evaluate the chest computed tomography (CT) images of patients suspected of having COVID-19, and to investigate its diagnostic performance and interobserver agreement. The Dutch Radiological Society developed CO-RADS as a diagnostic indicator for assessing suspicion of lung involvement of COVID-19 on a scale of 1 (very low) to 5 (very high). We investigated retrospectively 154 adult patients with clinically suspected COVID-19, between April and June 2020, who underwent chest CT and reverse transcription-polymerase chain reaction (RT-PCR). The patients’ average age was 61.3 years (range, 21–93), 101 were male, and 76 were RT-PCR positive. Using CO-RADS, four radiologists evaluated the chest CT images. Sensitivity, specificity, and area under the receiver operating characteristic curve (AUC) were calculated. Interobserver agreement was calculated using the intraclass correlation coefficient (ICC) by comparing the individual reader’s score to the median of the remaining three radiologists. The average sensitivity was 87.8% (range, 80.2–93.4%), specificity was 66.4% (range, 51.3–84.5%), and AUC was 0.859 (range, 0.847–0.881); there was no significant difference between the readers (p > 0.200). In 325 (52.8%) of 616 observations, there was absolute agreement among observers. The average ICC of readers was 0.840 (range, 0.800–0.874; p < 0.001). CO-RADS is a categorical taxonomic evaluation scheme for COVID-19 pneumonia, using chest CT images, that provides outstanding performance and from substantial to almost perfect interobserver agreement for predicting COVID-19

    Deep Learning Using Multiple Degrees of Maximum-Intensity Projection for PET/CT Image Classification in Breast Cancer

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    Deep learning (DL) has become a remarkably powerful tool for image processing recently. However, the usefulness of DL in positron emission tomography (PET)/computed tomography (CT) for breast cancer (BC) has been insufficiently studied. This study investigated whether a DL model using images with multiple degrees of PET maximum-intensity projection (MIP) images contributes to increase diagnostic accuracy for PET/CT image classification in BC. We retrospectively gathered 400 images of 200 BC and 200 non-BC patients for training data. For each image, we obtained PET MIP images with four different degrees (0°, 30°, 60°, 90°) and made two DL models using Xception. One DL model diagnosed BC with only 0-degree MIP and the other used four different degrees. After training phases, our DL models analyzed test data including 50 BC and 50 non-BC patients. Five radiologists interpreted these test data. Sensitivity, specificity, and area under the receiver operating characteristic curve (AUC) were calculated. Our 4-degree model, 0-degree model, and radiologists had a sensitivity of 96%, 82%, and 80–98% and a specificity of 80%, 88%, and 76–92%, respectively. Our 4-degree model had equal or better diagnostic performance compared with that of the radiologists (AUC = 0.936 and 0.872–0.967, p = 0.036–0.405). A DL model similar to our 4-degree model may lead to help radiologists in their diagnostic work in the future

    Early administration of dapagliflozin preserves pancreatic Ī²ā€cell mass through a legacy effect in a mouse model of typeĀ 2 diabetes

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    Abstract Aims/Introduction The preservation of pancreatic Ī²ā€cell mass is an essential factor in the onset and development of typeĀ 2 diabetes mellitus. Recently, sodiumā€“glucose cotransporterĀ 2 inhibitors have been launched as antihyperglycemic agents, and their organā€protective effects are attracting attention. They are also reported to have favorable effects on the preservation of pancreatic Ī²ā€cell mass, but the appropriate timing for the administration of sodiumā€“glucose cotransporterĀ 2 inhibitors is obscure. Materials and Methods In the present study, we administered a sodiumā€“glucose cotransporterĀ 2 inhibitor, dapagliflozin, to an animal model of typeĀ 2 diabetes mellitus, db/db mice, and investigated the adequate timing and duration for its administration. We also carried out microarray analysis using pancreatic islets from db/db mice. Results We found that dapagliflozin preserved pancreatic Ī²ā€cell mass depending on the duration of administration and markedly improved blood glucose levels. If the duration was the same, the earlier administration of dapagliflozin was more effective in preserving pancreatic Ī²ā€cell mass, increasing serum insulin levels and improving blood glucose levels. From microarray analysis, we discovered that the expression of Agr2, Tff2 and Gkn3 was significantly upregulated after the early administration of dapagliflozin. This upregulated gene expression might provide a legacy effect for the preservation of pancreatic Ī²ā€cell mass. Conclusions We expect that the early administration of dapagliflozin would provide a longā€lasting effect in preserving pancreatic Ī²ā€cell mass
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