检索结果-南通市图书馆

Clinicopathological features and surgical outcome of patients with fibrolamellar hepatocellular carcinoma(experience with 22 patients over a 15-year period)

引用

World Journal of Gastrointestinal Surgery 2017年第2期9卷 61-67页

作者： Mohamed Abdel Wahab Ehab El Hanafy Ayman El Nakeeb Mahmoud Abdelwahab Ali Gastroenterology Surgical Center Mansoura UniversityMansoura 35516Egypt

AIM To evaluate the clinicopathological features and the surgical outcomes of patients with fibrolamellar hepato-cellular carcinoma(FL-HCC)over a 15-year period. METHODS This is a retrospective study including 22 patients with a pathologic diagnosis of FL-HCC who underwent hepatectomy over a 15-year period. Tumor characteristics,survival and recurrence were evaluated. RESULTS There were 11 male and 11 female with a median age of 29 years(range from 21 to 58 years). Two(9%)patients had hepatitis C viral infection and only 2(9%)patients had alpha-fetoprotein level > 200 ng/m L. The median size of the tumors was 12 cm(range from 5-20 cm). Vascular invasion was detected in 5(23%)patients. Four(18%)patients had lymph node metastases. The median follow up period was 42 mo and the 5-year survival was 65%. Five(23%)patients had a recurrent disease,4 of them had a second surgery with 36 mo median time interval. Vascular invasion is the only significant negative prognostic factor CONCLUSION FL-HCC has a favorable prognosis than common HCC and should be suspected in young patients with non cirrhotic liver. Aggressive surgical resection should be done for all patients. Repeated hepatectomy should be considered for these patients as it has a relatively indolent course.

关键词： Fibrolamellar hepatocellular carcinoma common hepatocellular carcinoma Recurrence after resection fibrolamellar hepatocellular carcinoma Pathology of fibrolamellar hepatocellular carcinoma Survivalefter resection fibrolamellar hepatocellular carcinoma

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Diagnosis of primary clear cell carcinoma of the liver based on Faster region-based convolutional neural network

引用

Chinese Medical Journal 2023年第22期136卷 2706-2711页

作者： Bin Liu Jianfei Li Xue Yang Feng Chen Yanyan Zhang Hongjun Li Department of Radiology Beijing YouAn Hospital Capital Medical UniversityBeijing 100069China Department of Radiology Civil Aviation General HospitalBeijing 100123China Extenics Specialized Committee Chinese Association of Artificial IntelligenceBeijing 100876China

Background:Distinguishing between primary clear cell carcinoma of the liver(PCCCL)and common hepatocellular carcinoma(CHCC)through traditional inspection methods before the operation is *** study aimed to establish a Faster region-based convolutional neural network(RCNN)model for the accurate differential diagnosis of PCCCL and ***:In this study,we collected the data of 62 patients with PCCCL and 1079 patients with CHCC in Beijing YouAn Hospital from June 2012 to May 2020.A total of 109 patients with CHCC and 42 patients with PCCCL were randomly divided into the training validation set and the test set in a ratio of 4:*** Faster RCNN was used for deep learning of patients’data in the training validation set,and established a convolutional neural network model to distinguish PCCCL and *** accuracy,average precision,and the recall of the model for diagnosing PCCCL and CHCC were used to evaluate the detection performance of the Faster RCNN ***:A total of 4392 images of 121 patients(1032 images of 33 patients with PCCCL and 3360 images of 88 patients with CHCC)were uesd in test set for deep learning and establishing the model,and 1072 images of 30 patients(320 images of nine patients with PCCCL and 752 images of 21 patients with CHCC)were used to test the *** accuracy of the model for accurately diagnosing PCCCL and CHCC was 0.962(95%confidence interval[CI]:0.931-0.992).The average precision of the model for diagnosing PCCCL was 0.908(95%CI:0.823-0.993)and that for diagnosing CHCC was 0.907(95%CI:0.823-0.993).The recall of the model for diagnosing PCCCL was 0.951(95%CI:0.916-0.985)and that for diagnosing CHCC was 0.960(95%CI:0.854-0.962).The time to make a diagnosis using the model took an average of 4 s for each ***:The Faster RCNN model can accurately distinguish PCCCL and *** model could be important for clinicians to make appropriate treatment plans for patients with PCCCL or CHCC.

关键词： Primary clear cell carcinoma of the liver common hepatocellular carcinoma Differential diagnosis Faster RCNN CT Faster region-based convolutional neural network

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：