Fully automated breast density assessment from low-dose chest CT

Fully automated breast density assessment from low-dose chest CT
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通过低剂量胸部 CT 进行全自动乳腺密度评估

DOI:
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发表时间:
2017
期刊:
Medical Imaging
影响因子:
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通讯作者:
A. Reeves
A. Reeves
中科院分区:
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文献类型:
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作者:
Shuang Liu;L. Margolies;Yiting Xie;D. Yankelevitz;C. Henschke;A. Reeves

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乳腺癌是美国女性中最常见的癌症,也是导致癌症死亡的第二大原因。乳腺密度是乳腺癌的一个独立风险因素,超过25个州要求将其作为常规乳房x光检查报告的一部分向患者报告。最近的出版物表明,低剂量胸部CT (LDCT)测量的乳房密度与乳房x光检查和核磁共振成像(mri) 3-4测量的乳房密度有很好的相关性,因此为许多接受过LDCT但未接受过乳房x光检查的妇女提供了有价值的信息。本文提出了一个完全自动化的LDCT乳腺密度评估框架。整个乳房区域首先使用基于肌肉前沿传播的解剖学定向新方法进行分割,以分离纤维腺组织和底层肌肉。然后从分节的全乳中识别纤维腺组织区域,并根据纤维腺组织与局部全乳区域的体积比计算百分比密度。通过1270次LDCT扫描对乳房区域分割框架进行验证,目测满意率为96.1%。密度评估通过与BI-RADS密度分级进行比较,BI-RADS密度分级由一位经验丰富的放射科医生在随机选择的100名女性受试者的LDCT扫描中建立。连续乳腺密度测量与参考主观评分一致,Spearman的秩相关系数为0.91 (p值< 0.001)。在将连续密度转换为分类等级后,91%的病例中,自动密度评估与放射科医生的读数一致。
Breast cancer is the most common cancer diagnosed among US women and the second leading cause of cancer death 1 . Breast density is an independent risk factor for breast cancer and more than 25 states mandate its reporting to patients as part of the lay mammogram report 2 . Recent publications have demonstrated that breast density measured from low-dose chest CT (LDCT) correlates well with that measured from mammograms and MRIs 3-4 , thereby providing valuable information for many women who have undergone LDCT but not recent mammograms. A fully automated framework for breast density assessment from LDCT is presented in this paper. The whole breast region is first segmented using an anatomy-orientated novel approach based on the propagation of muscle fronts for separating the fibroglandular tissue from the underlying muscles. The fibroglandular tissue regions are then identified from the segmented whole breast and the percentage density is calculated based on the volume ratio of the fibroglandular tissue to the local whole breast region. The breast region segmentation framework was validated with 1270 LDCT scans, with 96.1% satisfactory outcomes based on visual inspection. The density assessment was evaluated by comparing with BI-RADS density grades established by an experienced radiologist in 100 randomly selected LDCT scans of female subjects. The continuous breast density measurement was shown to be consistent with the reference subjective grading, with the Spearman’s rank correlation 0.91 (p-value < 0.001). After converting the continuous density to categorical grades, the automated density assessment was congruous with the radiologist’s reading in 91% cases.
DOI: 10.1016/j.acra.2016.05.003
发表时间: 2016-09
期刊: Academic radiology
影响因子: 4.8
作者:
Chen JH;Chan S;Lu NH;Li Y;Tsai YC;Huang PY;Chang CJ;Su MY
通讯作者: Su MY
DOI: 10.1016/j.acra.2007.09.005
发表时间: 2007-12-01
期刊: ACADEMIC RADIOLOGY
影响因子: 4.8
作者:
Reeves, Anthony P.;Biancardi, Alberto M.;Clarke, Laurence P.
通讯作者: Clarke, Laurence P.