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Comparison of Manual and Semi-Automatic 18FPSMA-1007 PET Based Contouring Techniques for Intraprostatic Tumor Delineation in Patients With Primary Prostate Cancer and Validation With Histopathology as Standard of Reference

机译：手工和半自动18F PSMA-1007 PET基因型肿瘤划分技术对患有原发性前列腺癌患者的肺静压肿瘤划分及组织病理学验证作为参考标准

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期刊名称 Frontiers in Oncology
作者
Simon K. B. Spohn; Maria Kramer; Selina Kiefer; Peter Bronsert; August Sigle; Wolfgang Schultze-Seemann; Cordula A. Jilg; Tanja Sprave; Lara Ceci; Thomas F. Fassbender; Nils H. Nicolay; Juri Ruf; Anca L. Grosu; Constantinos Zamboglou;
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作者单位

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年(卷),期 2020(-1),-1
年度 2020
页码 -1
总页数 9
原文格式 PDF
正文语种
中图分类肿瘤学;
关键词

机译：原发性前列腺癌;局灶性疗法;轮廓;PSMA-PET / CT;组织病理学;

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专利

1. Validation of different PSMA-PET/CT-based contouring techniques for intraprostatic tumor definition using histopathology as standard of reference [J] . Zamboglou Constantinos, Fassbender Thomas F., Steffan Lina, Radiotherapy and oncology: Journal of the European Society for Therapeutic Radiology and Oncology . 2019,第期

机译：基于PSMA-PET / CT的验证基于PSMA-PET / CT的轮廓化技术使用组织病理学作为参考标准
2. Validation of Ga-68-HBED-CC PSMA-PET/CT and multiparametric MRI for gross tumor volume delineation in patients with primary prostate cancer based on comparison with histology reference [J] . Zamboglou C., Drendel V., Jilg C. A., European journal of cancer: official journal for European Organization for Research and Treatment of Cancer (EORTC) [and] European Association for Cancer Research (EACR) . 2016,第Null期

机译：基于组织学参考的Ga-68-HBED-CC PSMA-PET / CT和多参数MRI对原发性前列腺癌患者总肿瘤体积描绘的验证
3. Validation of Ga-68-HBED-CC PSMA-PET/CT and multiparametric MRI for gross tumor volume delineation in patients with primary prostate cancer based on comparison with histology reference [J] . Zamboglou C., Drendel V., Jilg C. A., European journal of cancer: official journal for European Organization for Research and Treatment of Cancer (EORTC) [and] European Association for Cancer Research (EACR) . 2016,第Null期

机译：基于与组织学基准的比较，验证GA-68-HBED-CC PSMA-PET / CT和MultiParametric MRI用于原发性前列腺癌患者的肿瘤肿瘤划分
4. Bayesian delineation framework of clinical target volumes for prostate cancer radiotherapy using an anatomical-features-based machine learning technique [C] . K. Ninomiya, H. Arimura, M. Sasahara, SPIE Medical Imaging Conference . 2018

机译：使用基于解剖特征的机器学习技术进行前列腺癌放射治疗的临床目标量的贝叶斯描绘框架
5. Radiomic features from PSMA PET for non-invasive intraprostatic tumor discrimination and characterization in patients with intermediate- and high-risk prostate cancer - a comparison study with histology reference [O] . Constantinos Zamboglou, Montserrat Carles, Tobias Fechter, 2019

机译：PSMA PET的放射学特征用于中高危前列腺癌患者的非侵入性前列腺内肿瘤鉴别和表征-与组织学参考文献的比较研究
6. Comparison of Manual and Semi-Automatic 18FPSMA-1007 PET Based Contouring Techniques for Intraprostatic Tumor Delineation in Patients With Primary Prostate Cancer and Validation With Histopathology as Standard of Reference [O] . Simon K. B. Spohn, Maria Kramer, Selina Kiefer, 2020

机译：手工和半自动18F PSMA-1007 PET基因型肿瘤划分技术对患有原发性前列腺癌患者的肺静压肿瘤划分及组织病理学验证作为参考标准

Comparison of Manual and Semi-Automatic 18FPSMA-1007 PET Based Contouring Techniques for Intraprostatic Tumor Delineation in Patients With Primary Prostate Cancer and Validation With Histopathology as Standard of Reference

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