Differential diagnosis of hepatic tumors by pattern-based classification according to Bayes theorem
根据贝叶斯定理基于模式的分类对肝脏肿瘤的鉴别诊断
基本信息
- 批准号:16590612
- 负责人:
- 金额:$ 1.15万
- 依托单位:
- 依托单位国家:日本
- 项目类别:Grant-in-Aid for Scientific Research (C)
- 财政年份:2004
- 资助国家:日本
- 起止时间:2004 至 2005
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
We prospectively evaluated the usefulness of a pattern-based classification of contrast-enhanced US according to Bayes theorem for differential diagnosis of hepatic tumors. After injecting a galactose-palmitic acid contrast agent, the enhancement patterns of the initial 303 lesions were classified retrospectively, and multiple logistic regression analysis was used to identify enhancement patterns that allowed differentiation between hepatic tumors. We then used the pattern-based classification of enhancement we had retrospectively devised to prospectively diagnose 283 liver tumors. Seven enhancement patterns were found to be significant predictors of different hepatic tumors. The presence of homogeneous or heterogeneous enhancement both in the arterial and portal phase was the typical enhancement pattern for hepatocellular carcinoma, while the presence of peritumoral vessels in the arterial phase and ring enhancement or a perfusion defect in the portal phase was the typical enhancement pattern for metastases, and the presence of peripheral nodular enhancement both in the arterial and portal phase was the typical enhancement pattern for hemangioma. The sensitivity, specificity, and accuracy of prospective diagnosis based on the combinations of enhancement patterns were 93.2%, 96.2%, and 94.0%, respectively, for hepatocellular carcinoma, 87, 9%, 99.6%, and 98.2%, for metastasis, and 95.6%, 94.1%, and 94.3%, for hemangioma. The pattern-based classification of the contrast-enhanced US findings is useful for differentiating among hepatic tumors.
我们前瞻性地评估了根据贝叶斯定理基于模式的对比增强超声分类对于肝肿瘤鉴别诊断的有用性。注射半乳糖-棕榈酸造影剂后,对最初的303个病灶的增强模式进行回顾性分类,并使用多元逻辑回归分析来识别能够区分肝脏肿瘤的增强模式。然后,我们使用我们回顾性设计的基于模式的增强分类来前瞻性诊断 283 个肝脏肿瘤。发现七种增强模式是不同肝脏肿瘤的显着预测因子。动脉期和门脉期均出现均匀或不均匀强化是肝细胞癌的典型强化模式,动脉期出现瘤周血管、门脉期出现环形强化或灌注缺损是转移灶的典型强化模式,动脉期和门脉期均出现周围结节状强化是肝癌的典型强化模式。 血管瘤的典型强化模式。基于增强模式组合的前瞻性诊断的敏感性、特异性和准确性对于肝细胞癌分别为 93.2%、96.2% 和 94.0%,对于转移性病变分别为 87、9%、99.6% 和 98.2%,对于血管瘤分别为 95.6%、94.1% 和 94.3%。对比增强超声结果的基于模式的分类对于区分肝脏肿瘤非常有用。
项目成果
期刊论文数量(26)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Evaluation using contrast-enhanced harmonic gray-scale sonography-after radio frequency ablation of small hepatocellular carcinoma : sonographic-histopathologic correlation.
小肝细胞癌射频消融后使用对比增强谐波灰度超声检查的评估:超声检查-组织病理学相关性。
- DOI:
- 发表时间:2005
- 期刊:
- 影响因子:0
- 作者:Morimoto M;Nozawa A;Numata K;Shirato K;Sugimori K;Kokawa A;Tomita N;Saito T;Nakatani Y;Imada T;Tanaka K.
- 通讯作者:Tanaka K.
当センターにおける肝細胞癌局所療法-JIS Scoreを用いたラジオ波熱凝固療法とエタノール局注療法の治療成績の比較-.
我中心肝细胞癌局部治疗——射频热凝治疗与局部乙醇注射治疗的JIS评分比较疗效。
- DOI:
- 发表时间:2005
- 期刊:
- 影响因子:0
- 作者:森本学;田中克明;他
- 通讯作者:他
Contrast-enhanced sonography of autoimmune pancreatitis - Comparison with pathologic findings
- DOI:10.7863/jum.2004.23.2.199
- 发表时间:2004-02-01
- 期刊:
- 影响因子:2.3
- 作者:Numata, K;Ozawa, Y;Tanaka, K
- 通讯作者:Tanaka, K
Extension of radiofrequency ablation of the liver by transcatheter arterial embolization with iodized oil and gelatin sponge : results in a pig model.
通过碘油和明胶海绵经导管动脉栓塞扩大肝脏射频消融:产生猪模型。
- DOI:
- 发表时间:2005
- 期刊:
- 影响因子:0
- 作者:Sugimori K;Tanaka K;et al.
- 通讯作者:et al.
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TANAKA Katsuaki其他文献
TANAKA Katsuaki的其他文献
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{{ truncateString('TANAKA Katsuaki', 18)}}的其他基金
Central nervous system effect of local anesthetics : Influences on electroencephalogram and electroencephalographic changes induced by co-administered opioids
局麻药的中枢神经系统作用:对脑电图的影响以及联合使用阿片类药物引起的脑电图变化
- 批准号:
21791468 - 财政年份:2009
- 资助金额:
$ 1.15万 - 项目类别:
Grant-in-Aid for Young Scientists (B)
Extraction and reorganization of topic transition patterns in recorded document
记录文档中主题转换模式的提取和重组
- 批准号:
20700129 - 财政年份:2008
- 资助金额:
$ 1.15万 - 项目类别:
Grant-in-Aid for Young Scientists (B)
Study on Japanese corporate ratings by Rating agencies with Artificial Neural Network and Self-organizing Maps
基于人工神经网络和自组织图的评级机构日本企业评级研究
- 批准号:
19530374 - 财政年份:2007
- 资助金额:
$ 1.15万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
The research on Optimal media selection models Using Data Envelopment Analysis and neural networks
基于数据包络分析和神经网络的最优媒体选择模型研究
- 批准号:
15530293 - 财政年份:2003
- 资助金额:
$ 1.15万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Uprequlation of anti-HCV activity
抗 HCV 活性上调
- 批准号:
12670505 - 财政年份:2000
- 资助金额:
$ 1.15万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
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