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Abnormal Vessel Tortuosity as a Marker of Treatment Response of Malignant Gliomas: Preliminary Report

机译:血管曲折异常是恶性胶质瘤治疗反应的标志:初步报告

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摘要

Despite multiple advances in medical imaging, noninvasive monitoring of therapeutic efficacy for malignant gliomas remains problematic. An underutilized observation is that malignancy induces characteristic abnormalities of vessel shape. These characteristic shape abnormalities affect both capillaries and much larger vessels in the tumor vicinity, involve larger vessels prior to sprout formation, and are generally not present in hypervascular benign tumors. Vessel shape abnormalities associated with malignancy thus may appear independently of increase in vessel density. We hypothesize that an automated, computerized analysis of vessel shape as defined from high-resolution MRA can provide valuable information about tumor activity during the treatment of malignant gliomas. This report describes vessel shape properties in 10 malignant gliomas prior to treatment, in 2 patients in remission during treatment, and in 2 patients with recurrent disease. One subject was scanned multiple times. The method involves an automated, statistical analysis of vessel shape within a region of interest for each tumor, normalized by the values obtained from the vessels within the same region of interest of 34 healthy subjects. Results indicate that untreated tumors display statistically significant vessel tortuosity abnormalities. These abnormalities involve vessels not only within the tumor margins as defined from MR but also vessels in the surrounding tissue. The abnormalities resolve during effective treatment and recur with tumor recurrence. We conclude that vessel shape analysis could provide an important means of assessing tumor activity.
机译:尽管在医学成像方面取得了许多进展,但是对恶性神经胶质瘤的治疗功效进行非侵入性监测仍然存在问题。未被充分利用的观察结果是,恶性肿瘤可诱发血管形状的特征异常。这些特征形状异常会影响毛细血管和肿瘤附近更大的血管,在发芽形成之前牵涉到更大的血管,并且通常在高血管良性肿瘤中不存在。因此,与恶性肿瘤相关的血管形状异常可能独立于血管密度的增加而出现。我们假设从高分辨率MRA定义的血管形态的自动化计算机分析可以提供有关恶性神经胶质瘤治疗期间肿瘤活动的有价值信息。该报告描述了治疗前10例恶性神经胶质瘤,治疗期间2例缓解的患者和2例复发性疾病的患者的血管形状特征。对一个对象进行了多次扫描。该方法涉及针对每个肿瘤的感兴趣区域内的血管形状的自动统计分析,通过从34名健康受试者的相同感兴趣区域内的血管获得的值进行标准化。结果表明,未治疗的肿瘤显示统计学上显着的血管曲折异常。这些异常不仅涉及MR定义的肿瘤边缘内的血管,还涉及周围组织中的血管。异常在有效治疗期间会消失,并随着肿瘤复发而复发。我们得出结论,血管形状分析可以提供评估肿瘤活性的重要手段。

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