首页> 外文期刊>Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine >Microcirculation and microvasculature in breast tumors: pharmacokinetic analysis of dynamic MR image series.
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Microcirculation and microvasculature in breast tumors: pharmacokinetic analysis of dynamic MR image series.

机译:乳腺肿瘤中的微循环和微脉管系统:动态MR图像系列的药代动力学分析。

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The purpose of this study was to quantify microcirculation and microvasculature in breast lesions by pharmacokinetic analysis of Gd-DTPA-enhanced MRI series. Strongly T1-weighted MR images were acquired in 18 patients with breast lesions using a saturation-recovery-TurboFLASH sequence. Concentration-time courses were determined for blood, pectoral muscle, and breast masses and subsequently analyzed by a two-compartment model to estimate plasma flow and the capillary transfer coefficient per unit of plasma volume (F/VP, KPS/VP) as well as fractional volumes of the plasma and interstitial space (fP, fI). Tissue parameters determined for pectoral muscle (fP = 0.04 +/- 0.01, fI = 0.09 +/- 0.01, F/VP = 2.4 +/- 1.3 min(-1), and KPS/VP = 1.2 +/- 0.5 min(-1)) and 10 histologically proven carcinomas (fP = 0.20 +/- 0.07, fI = 0.34 +/- 0.16, F/VP = 2.4 +/- 0.7 min(-1), and KPS/VP = 0.86 +/- 0.62 min(-1)) agreed reasonable well with literature data. Best separation between malignant and benign lesions was obtainedby the ratio KPS/F (0.35 +/- 0.17 vs. 1.23 +/- 0.65). The functional imaging technique presented appears promising to quantitatively characterize tumor pathophysiology. Its impact on diagnosis and therapy management of breast tumors, however, has to be evaluated in larger patient studies.
机译:这项研究的目的是通过Gd-DTPA增强MRI系列的药代动力学分析来量化乳腺病变中的微循环和微脉管系统。使用饱和度恢复-TurboFLASH序列在18例乳腺病变患者中获得了强T1加权MR图像。确定血液,胸肌和乳腺肿块的浓缩时间过程,然后通过两室模型进行分析,以估计血浆流量和每单位血浆体积的毛细管转移系数(F / VP,KPS / VP)以及血浆和间隙空间的分数体积(fP,fI)。确定胸肌的组织参数(fP = 0.04 +/- 0.01,fI = 0.09 +/- 0.01,F / VP = 2.4 +/- 1.3 min(-1)和KPS / VP = 1.2 +/- 0.5 min( -1))和10个经组织学证实的癌(fP = 0.20 +/- 0.07,fI = 0.34 +/- 0.16,F / VP = 2.4 +/- 0.7 min(-1),KPS / VP = 0.86 +/- 0.62 min(-1))与文献数据基本吻合。通过比率KPS / F(0.35 +/- 0.17对1.23 +/- 0.65)获得了恶性和良性病变之间的最佳分离。提出的功能成像技术似乎有望定量表征肿瘤的病理生理。但是,它对乳腺肿瘤的诊断和治疗管理的影响必须在较大的患者研究中进行评估。

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