Quantitative identification of magnetic resonance imaging features of prostate cancer response following laser ablation and radical prostatectomy
Quantitative identification of magnetic resonance imaging features of prostate cancer response following laser ablation and radical prostatectomy
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DOI：
10.1117/1.jmi.1.3.035001
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发表时间：
2014-10-01
影响因子：
2.4
通讯作者：
Madabhushi, Anant
中科院分区：
文献类型：
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作者：
Litjens, Geert J. S.;Huisman, Henkjan J.;Madabhushi, Anant
激光间质热疗是一种相对较新的治疗局限性前列腺癌的局灶性治疗技术。在这项研究中，我们首次将体外病理学和磁共振成像(MRI)结合起来，评估前列腺癌的成像特征和LITT后的治疗变化。通过一项独特的临床试验，我们获得了体外组织学和LITT前后的磁共振成像，(1)我们研究了治疗效果和残留病变的成像特征，以及(2)评估了治疗引起的消融区相对于残留病变的特征变化。首先，病理学家在体外组织学上对消融区域和残留病变进行了注释。随后，我们使用半自动弹性配准将注释传输到LITT后MRI。记录出生前和出生后的磁共振成像，并提取特征。引入了一种基于LITT前后特征值中位数变化的评分标准，这使我们能够识别治疗反应最快的特征。我们的结果表明：(1)治疗效果和残留病变的图像特征是不同的；(2)LITT前后MRI特征值的变化可以作为治疗反应的定量生物标志物。最后，利用特征变化提高了残留病与治疗效果之间的区分度。(C)2014年光学仪器工程师学会(SPIE)
Laser interstitial thermotherapy (LITT) is a relatively new focal therapy technique for the ablation of localized prostate cancer. In this study, for the first time, we are integrating ex vivo pathology and magnetic resonance imaging (MRI) to assess the imaging characteristics of prostate cancer and treatment changes following LITT. Via a unique clinical trial, which gave us the availability of ex vivo histology and pre-and post-LITT MRIs, (1) we investigated the imaging characteristics of treatment effects and residual disease, and (2) evaluated treatment-induced feature changes in the ablated area relative to the residual disease. First, a pathologist annotated the ablated area and the residual disease on the ex vivo histology. Subsequently, we transferred the annotations to the post-LITT MRI using a semi-automatic elastic registration. The pre-and post-LITT MRIs were registered and features were extracted. A scoring metric based on the change in median pre-and post-LITT feature values was introduced, which allowed us to identify the most treatment responsive features. Our results show that (1) image characteristics for treatment effects and residual disease are different, and (2) the change of feature values between pre-and post-LITT MRIs can be a quantitative biomarker for treatment response. Finally, using feature change improved discrimination between the residual disease and treatment effects. (C) 2014 Society of Photo-Optical Instrumentation Engineers (SPIE)