High-resolution computed tomography of single breast cancer microcalcifications in vivo.
High-resolution computed tomography of single breast cancer microcalcifications in vivo.
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DOI：
10.2310/7290.2010.00050
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发表时间：
2011-08
影响因子：
2.8
通讯作者：
Frangioni JV
中科院分区：
文献类型：
--
作者：
Inoue K;Liu F;Hoppin J;Lunsford EP;Lackas C;Hesterman J;Lenkinski RE;Fujii H;Frangioni JV
微钙化是乳腺癌的一个标志，也是乳房X光摄影的关键诊断特征。我们最近描述了第一个强大的乳腺癌微钙化动物模型。在这项研究中，我们假设高分辨率计算机断层扫描(CT)可以潜在地检测体内单个微钙化的成因，并量化其随时间的增长。使用商用CT扫描仪，我们系统地优化了采集和重建参数。测试了两种光线跟踪图像重建算法：体素驱动的快速锥束算法(FCBA)和探测器驱动的精确锥束算法(ECBA)。通过优化采集和重建参数，我们能够获得104微米半高全宽的分辨率。在最佳探测器采样频率下，ECBA的分辨率比FCBA提高了28微米(21%)。在体外，我们能够成像单个300微米乘以100微米的羟基磷灰石晶体。在乳腺癌的同基因大鼠模型中，我们能够在体内检测到单个微钙化的起源，并跟踪其纵向生长数周。综上所述，本研究为开发钙化特异性造影剂提供了体内的金标准，并为研究乳腺癌微钙化的机制提供了模型系统。
Microcalcification is a hallmark of breast cancer and a key diagnostic feature for mammography. We recently described the first robust animal model of breast cancer microcalcification. In this study, we hypothesized that high-resolution computed tomography (CT) could potentially detect the genesis of a single microcalcification in vivo and quantify its growth over time. Using a commercial CT scanner, we systematically optimized acquisition and reconstruction parameters. Two ray-tracing image reconstruction algorithms were tested, a voxel-driven “fast” cone beam algorithm (FCBA) and a detector-driven “exact” cone beam algorithm (ECBA). By optimizing acquisition and reconstruction parameters, we were able to achieve a resolution of 104 µm full-width at half maximum (FWHM). At an optimal detector sampling frequency, ECBA provided a 28 µm (21%) FWHM improvement in resolution over FCBA. In vitro, we were able to image a single 300 µm by 100 µm hydroxyapatite crystal. In a syngeneic rat model of breast cancer, we were able to detect the genesis of a single microcalcification in vivo and follow its growth longitudinally over weeks. Taken together, this study provides an in vivo “gold standard” for the development of calcification-specific contrast agents and a model system for studying the mechanism of breast cancer microcalcification.
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影响因子：
1.8
作者：
Paulus, MJ;Sari-Sarraf, H;Allen, WC
通讯作者：
Allen, WC
影响因子：
4
作者：
Ritman, EL
通讯作者：
Ritman, EL
影响因子：
15
作者：
Bhushan KR;Misra P;Liu F;Mathur S;Lenkinski RE;Frangioni JV
通讯作者：
Frangioni JV
影响因子：
3.5
作者：
Seo, Youngho;Hashimoto, Tomoki;Hasegawa, Bruce H.
通讯作者：
Hasegawa, Bruce H.
影响因子：
3.5
作者：
Gong, X;Vedula, AA;Glick, SJ
通讯作者：
Glick, SJ