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New approaches for effective and safe pelvic radiotherapy in high-risk prostate cancer

机译:高风险前列腺癌中有效和安全盆腔放射治疗的新方法

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Radical radiotherapy for prostate cancer offers excellent long-term outcomes for patients with high-risk disease. The increased risk of pelvic nodal involvement in this cohort has led to the development of whole-pelvis radiotherapy (WPRT) with a prostate boost. However, the use of WPRT remains controversial. Data are mixed, but advanced radiotherapy techniques enable delivery of increased radiation to pelvic nodes with acceptable levels of toxicity. Contemporary imaging modalities with increased sensitivity for detecting subclinical lymph node disease will facilitate selection of patients most likely to benefit from WPRT. Using such modalities for image guidance of advanced radiotherapy techniques could also permit high-dose delivery to nodes outside the conventional Radiation Therapy Oncology Group volumes, where magnetic resonance lymphography and single-photon-emission CT imaging have mapped a high frequency of microscopic disease. With increased toxicity a concern, an alternative to WPRT would be selective irradiation of target nodal groups most likely to harbour occult disease. New image-based 'big data' mining techniques enable the large-scale comparison of incidental dose distributions of thousands of patients treated in the past. By using novel computing methods and artificial intelligence, high-risk regions can be identified and used to optimize WPRT through refined knowledge of the likely location of subclinical disease.
机译:前列腺癌的激进放疗为高危疾病的患者提供了出色的长期结果。在这种队列中盆腔节点参与的风险增加导致了全骨盆放射治疗(WPRT)的发展,前列腺增压。然而,使用WPRT仍然存在争议。数据混合,但高级放射疗法技术使得能够随着可接受的毒性水平传递给骨盆节点的增加。当代成像模型,用于检测亚临床淋巴结疾病的敏感性增加,将促进最有可能从WPRT受益的患者的选择。利用所需放射治疗技术的图像引导的这种方式也可以允许高剂量递送至传统放射治疗肿瘤学群体之外的节点,其中磁共振淋巴结和单光子发射CT成像已经映射了高频率的微观疾病。随着毒性的增加,疾病的替代方案将是最有可能涉及隐匿性疾病的靶核苷酸的选择性辐照。基于新的图像的“大数据”采矿技术使得过去患者的偶然剂量分布的大规模比较能够进行大规模比较。通过使用小说计算方法和人工智能,可以通过精细知识来识别和用于优化WPRT的高风险区域。

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