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Unsupervised Deconvolution of Dynamic Imaging Reveals Intratumor Vascular Heterogeneity and Repopulation Dynamics

机译:动态成像的无监督反卷积揭示了肿瘤内血管异质性和种群动态。

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摘要

With the existence of biologically distinctive malignant cells originated within the same tumor, intratumor functional heterogeneity is present in many cancers and is often manifested by the intermingled vascular compartments with distinct pharmacokinetics. However, intratumor vascular heterogeneity cannot be resolved directly by most in vivo dynamic imaging. We developed multi-tissue compartment modeling (MTCM), a completely unsupervised method of deconvoluting dynamic imaging series from heterogeneous tumors that can improve vascular characterization in many biological contexts. Applying MTCM to dynamic contrast-enhanced magnetic resonance imaging of breast cancers revealed characteristic intratumor vascular heterogeneity and therapeutic responses that were otherwise undetectable. MTCM is readily applicable to other dynamic imaging modalities for studying intratumor functional and phenotypic heterogeneity, together with a variety of foreseeable applications in the clinic.
机译:由于存在于同一肿瘤内的生物学上独特的恶性细胞的存在,许多癌症中均存在肿瘤内功能异质性,并且常常表现为具有不同药代动力学的混合血管腔室。然而,大多数体内动态成像不能直接解决肿瘤内血管异质性。我们开发了多组织隔室建模(MTCM),这是一种从异质性肿瘤中去除动态成像序列卷积的完全不受监督的方法,可以改善许多生物学背景下的血管特征。将MTCM应用于乳腺癌的动态对比增强磁共振成像可以发现特征性的肿瘤内血管异质性和治疗反应,否则这些反应是无法检测到的。 MTCM很容易适用于其他动态成像模式,以研究肿瘤内功能和表型异质性,以及在临床上可预见的各种应用。

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