Computer-aided diagnosis in full digital mammography.
Computer-aided diagnosis in full digital mammography.
复制标题
全数字乳房X线摄影的计算机辅助诊断。
DOI：
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复制
发表时间：
1999
影响因子：
6.7
通讯作者：
Kazuo Shimura
中科院分区：
文献类型：
--
作者：
S. Nawano;Koji Murakami;Noriyuki Moriyama;H. Kobatake;Hideya Takeo;Kazuo Shimura
依据和解释
作者阐明了基于Fuji计算机X线摄影的计算机辅助诊断（CAD）对乳腺癌肿瘤和簇状微钙化的检出率。作者还确定了CAD的乳房X线摄影阅读是否有助于发现乳腺癌。
方法
由Fuji计算机X线摄影9000获得的数据，包括4148个数字乳房X线照片，包括267例乳腺癌，直接转移到一个分析工作站，原始软件程序确定乳腺肿瘤和集群微钙化的提取率。此外，使用来自86名妇女的另外344张乳房X线照片，对5名医生进行观察员表现研究，以进行受试者工作特征（ROC）分析。
结果
对乳腺癌和簇状钙化的敏感性分别为89.9%和92.8%，假阳性率分别为1.35和0.40/幅图像。观察者性能研究表明，5名医生使用CAD系统的平均Az值大于仅使用胶片阅读而无CAD的平均Az值，并且使用CAD阅读的平均Az值显著上级使用胶片读取的平均Az值，P < 0.022。
结论
已经表明，基于Fuji计算机射线照相术的CAD为乳腺癌肿瘤和成簇的微钙化提供了良好的检测率，并且使用该CAD系统的乳房X线照片的阅读将提供对乳腺癌的诊断准确性的潜在改进。
RATIONALE AND OBJECTIVES
The authors clarify the detection rates for breast cancerous tumors and clustered microcalcifications with computer-aided diagnosis (CAD) based on Fuji Computed Radiography. The authors also determine whether mammographic reading with CAD contributes to the discovery of breast cancer.
METHODS
Data acquired by Fuji Computed Radiography 9000, which consisted of 4148 digital mammograms including 267 cases of breast cancer, was transferred directly to an analysis workstation where an original software program determined extraction rates for breast tumors and clustered microcalcifications. Furthermore, using another 344 mammograms from 86 women, observer performance studies were conducted on five doctors for receiver operating characteristic (ROC) analysis.
RESULTS
Sensitivity to breast cancerous tumors and clustered microcalcifications were 89.9% and 92.8%, respectively false-positive rates were 1.35 and 0.40 per image, respectively. The observer performance studies indicate that an average Az value for the five doctors was greater with the CAD system than with a film-only reading without CAD, and that a reading with CAD was significantly superior at P < 0.022.
CONCLUSIONS
It has been shown that CAD based on Fuji Computed Radiography offers good detection rates for both breast cancerous tumors and clustered microcalcifications, and that the reading of mammograms with this CAD system would provide potential improvement in diagnostic accuracy for breast cancer.
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影响因子：
3.8
作者：
HUO, ZM;GIGER, ML;SCHMIDT, RA
通讯作者：
SCHMIDT, RA
影响因子：
3.8
作者：
CHAN, HP;DOI, K;JOKICH, PM
通讯作者：
JOKICH, PM
乳房X线摄影肿块计算机化检测中双边减影和单图像处理技术的比较。
影响因子：
6.7
作者：
Yin,FF;Giger,ML;Vyborny,CJ;Doi,K;Schmidt,RA
通讯作者：
Schmidt,RA
影响因子：
6.7
作者：
CHAN, HP;DOI, K;MACMAHON, H
通讯作者：
MACMAHON, H
计算机辅助检测乳房 X 光照片中的微钙化。
影响因子：
6.7
作者：
Chan,HP;Doi,K;Vyborny,CJ;Lam,KL;Schmidt,RA
通讯作者：
Schmidt,RA