Cytomorphological Findings and Histological Correlation of Low-Grade Cribriform Cystadenocarcinoma of Salivary Gland in Fine-Needle Aspiration: A Case Study

Low-grade cribriform cystadenocarcinoma (LGCCC) of the salivary gland is a rare tumor. We report the cytologic features and histologic correlation of a patient with LGCCC. A 57-year-old man had a hardly palpable, nontender mass in the right cheek area followed over nine months. Radiologic analysis revealed a 1.2 cm multiseptated, cystic, solid nodule in an anterior superficial lobe of the right parotid gland. Fine-needle aspiration cytology revealed many irregular overlapping sheets or clusters of ductal epithelial cells forming solid, pseudopapillary, and cribriform architectures. Nuclei of the tumor cells revealed inconspicuous atypia with minimal size variation. On the basis of these findings, we confirmed a diagnosis of ductal epithelial proliferative lesion, favoring neoplasm, with uncertain malignant potential. Tumor excision was performed, revealing a tiny multicystic nodule (0.7 cm). Histopathologically, this tumor showed the characteristic morphology of LGCCC. This is the first report of cytomorphological findings of LGCCC in Korea.ope

DEEP LEARNING MODEL BASED IMAGE DIAGNOSIS APPARATUS AND METHOD THEREOF

본 명세서는 입력된 의료 영상에서 추출된 픽쳐에 대해 정상인데 비정상으로 판단할 확률 분포와 비정상인데 정상으로 판단할 확률 분포에 대해 서로 다른 가중치를 부여한 가중손실함수를 사용한, 학습된 딥 러닝 모델을 이용하여 입력된 의료 영상에 포함된 조직에 대해 질병의 정상 및 비정상 중 하나로 분류하는 딥 러닝 모델을 활용한 영상 진단 장치 및 그 방법을 개시한다