Mesonephric adenocarcinoma with a sarcomatous component, a notable subtype of cervical carcinosarcoma: a case report and review of the literature

ABSTRACT: Carcinosarcoma of the uterine cervix is less common than its counterpart in the uterine corpus. On the other hand, mesonephric adenocarcinoma is also a rare neoplasm in the uterine cervix, and it has been reported that mesonephric adenocarcinomas are often accompanied by sarcomatous components. We present a case of mesonephric adenocarcinoma with a sarcomatous component which arose in a 63-year-old postmenopausal woman. The hysterectomy specimen grossly showed an exophytic mass measuring 1.8 cm in the uterine cervix. Histologically, diffuse mesonephric hyperplasia and adenocarcinoma with malignant spindle cell proliferation was recognized, and therefore the tumor was diagnosed as “mesonephric adenocarcinoma with a sarcomatous component.” The review of the literature of cervical carcinosarcoma and cervical mesonephric adenocarcinoma revealed that 16% of cervical carcinosarcoma is of mesonephric duct origin, and that mesonephric adenocarcinoma seems to be more likely to have sarcomatous change. We think the presence of a sarcomatous component in the cervical biopsy specimen could be helpful in the diagnosis of mesonephric duct origin. VIRTUAL SLIDES: The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/124399650391106

パラオで採集した海洋糸状菌TUF98F139株が生産する微少管重合阻害活性物質

東京水産大学海洋環境学科東京水産大学海洋環境学科東京水産大学海洋環境学科東京大学分子細胞生物学研究所東京水産大学練習船海鷹丸東京水産大学練習船海鷹

Accurate deep learning model using semi-supervised learning and Noisy Student for cervical cancer screening in low magnification images.

Deep learning technology has been used in the medical field to produce devices for clinical practice. Deep learning methods in cytology offer the potential to enhance cancer screening while also providing quantitative, objective, and highly reproducible testing. However, constructing high-accuracy deep learning models necessitates a significant amount of manually labeled data, which takes time. To address this issue, we used the Noisy Student Training technique to create a binary classification deep learning model for cervical cytology screening, which reduces the quantity of labeled data necessary. We used 140 whole-slide images from liquid-based cytology specimens, 50 of which were low-grade squamous intraepithelial lesions, 50 were high-grade squamous intraepithelial lesions, and 40 were negative samples. We extracted 56,996 images from the slides and then used them to train and test the model. We trained the EfficientNet using 2,600 manually labeled images to generate additional pseudo labels for the unlabeled data and then self-trained it within a student-teacher framework. Based on the presence or absence of abnormal cells, the created model was used to classify the images as normal or abnormal. The Grad-CAM approach was used to visualize the image components that contributed to the classification. The model achieved an area under the curve of 0.908, accuracy of 0.873, and F1-score of 0.833 with our test data. We also explored the optimal confidence threshold score and optimal augmentation approaches for low-magnification images. Our model efficiently classified normal and abnormal images at low magnification with high reliability, making it a promising screening tool for cervical cytology

An Autopsy Case of a 5-Year-Old Child with Acute Pancreatitis Caused by Eosinophilic Granulomatosis with Polyangiitis-like Necrotizing Vasculitis

In children, acute pancreatitis has been reported in IgA vasculitis, Kawasaki disease, systemic lupus erythematosus-associated vasculitis, and juvenile dermatomyositis-associated vasculitis. However, its frequency in these vasculitides has been shown to be low. In other childhood-onset vasculitides, acute pancreatitis is seldom reported. The patient was a 5-year-old Japanese boy who suddenly presented with gastrointestinal (GI) bleeding. Therapy with antiulcer drugs successfully stopped bleeding, but subsequently, high fever, leukocytosis, and hypoxia appeared. He died 12 days after he presented with GI bleeding. An autopsy unexpectedly revealed that necrotizing vasculitis with marked eosinophilic and histiocytic infiltration of the pancreas led to acute pancreatitis, and gastric ulcer with eosinophilic infiltration was shown to be the origin of GI bleeding. In addition, eosinophilic infiltration was found in the small intestine, lungs, and bone marrow. Necrotizing vasculitis with eosinophilic and histiocytic infiltration of the pancreas, eosinophilic infiltration of the airway wall, and eosinophilic gastroenteritis with gastric ulcer were histologically confirmed, suggesting that the present case may be an early stage of eosinophilic granulomatosis with polyangiitis- (EGPA-) like vasculitis. To our knowledge, this might be the first reported case of EGPA-like vasculitis presenting with acute pancreatitis in a child

An autopsy case of disseminated carcinomatosis of the bone marrow from esophageal adenocarcinoma

Key Clinical Message Disseminated carcinomatosis of the bone marrow is rare. We present such a case, which is useful for raising awareness about the importance of early diagnosis and treatment of carcinomas complicated by disseminated carcinomatosis of the bone marrow. Abstract This is the first autopsy report of disseminated carcinomatosis of the bone marrow (DCBM) in esophageal adenocarcinoma. Advanced poorly differentiated adenocarcinoma with signet ring cell carcinoma arising in Barrett's esophagus caused disseminated intravascular coagulation (DIC) with extensive bone marrow metastasis, resulting in death from cerebral hemorrhage. Although DCBM due to malignancy is rare with poor prognosis, it should be considered in malignancies associated with DIC, and prompt initiation of chemotherapy is the only way to improve the patient's prognosis