Prediction of Post-Radiotherapy Residual Disease From Pre-Treatment Imaging Using Deep Learning

被引：0
|
作者：
Huff, D. [1 ]
Bradshaw, T. [1 ]
Jeraj, R. [1 ,2 ]
机构：
[1] Univ Wisconsin Madison, Madison, WI USA
[2] Univ Ljubljana, Ljubljana, Slovenia
来源：
MEDICAL PHYSICS | 2018年 / 45卷 / 06期
关键词：
D O I：
暂无
中图分类号：
R8 [特种医学]; R445 [影像诊断学];
学科分类号：
1002 ; 100207 ; 1009 ;
摘要：
SU-H300-Ge
引用
收藏
页码：E162 / E163
页数：2
相关论文
共 50 条
  • [1] Deep learning post-radiotherapy recurrence prediction in head and neck cancer from planning PET/CT
    Kutnar, D.
    RADIOTHERAPY AND ONCOLOGY, 2023, 182 : S1881 - S1882
  • [2] Pre-Treatment and Early Post-Radiotherapy PET Metabolic Metrics Predict Probability of Local Relapse in Oligometastases
    Greco, C.
    Pimentel, N.
    Pares, O.
    Louro, V.
    Morales, J.
    Vasconcelos, A. L.
    Nunes, B.
    Antunes, I.
    Kociolek, J.
    Oliveira, C.
    Castanheira, J.
    Vaz, S.
    Silva, A.
    Oliveira, F.
    Costa, D.
    Fuks, Z.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2019, 105 (01): : S73 - S73
  • [3] Pre- and post-radiotherapy computed tomography in laryngeal cancer: Imaging-based prediction of local failure
    Pameijer, FA
    Hermans, R
    Mancuso, AA
    Mendenhall, WM
    Parsons, JT
    Stringer, SP
    Kubilis, PS
    van Tinteren, H
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 1999, 45 (02): : 359 - 366
  • [4] Deep and Transfer Learning Approaches for Glioblastoma Patient Survival Prediction from Pre-Treatment MRI
    Alao, Mariana Neves Ramalho Ferreira
    ProQuest Dissertations and Theses Global, 2019,
  • [5] Pre- and post-radiotherapy computed tomography in laryngeal cancer: Imaging-based prediction of local failure
    Int J Radiat Oncol Biol Phys, 2 (359-366):
  • [6] Radiotherapy-immunotherapy related pneumonitis prediction from pre-treatment CT using a deep graph-based integrative model
    Yang, Linlin
    Cui, Hui
    Duan, Yanan
    Yao, Yueyuan
    Zou, Bing
    Wang, Linlin
    JOURNAL OF CLINICAL ONCOLOGY, 2022, 40 (16)
  • [7] Prediction of Progression After Cervix Cancer Radiotherapy Using a Machine-Learning Model on Pre-Treatment MRI
    Provenzano, D.
    Wang, J. Y.
    Haji-Momenian, S.
    Shin, B.
    Riess, J.
    Khati, N.
    Bauman, J.
    Goya, S.
    Loew, M.
    Chappell, N.
    Rao, Y. J.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2023, 117 (02): : S132 - S132
  • [8] Deep Learning-Based Prediction of Post-treatment Survival in Hepatocellular Carcinoma Patients Using Pre-treatment CT Images and Clinical Data
    Lee, Kyung Hwa
    Lee, Jungwook
    Choi, Gwang Hyeon
    Yun, Jihye
    Kang, Jiseon
    Choi, Jonggi
    Kim, Kang Mo
    Kim, Namkug
    JOURNAL OF IMAGING INFORMATICS IN MEDICINE, 2024, : 1212 - 1223
  • [9] TGF-β1 levels in pre-treatment plasma identify breast cancer patients at risk of developing post-radiotherapy fibrosis
    Li, CG
    Wilson, PB
    Levine, E
    Barber, J
    Stewart, AL
    Kumar, S
    INTERNATIONAL JOURNAL OF CANCER, 1999, 84 (02) : 155 - 159
  • [10] Advanced multimodal imaging in differentiating glioma recurrence from post-radiotherapy changes
    Li, Cong
    Gan, Yanling
    Chen, Huijing
    Chen, Yun
    Deng, Yuer
    Zhan, Wengang
    Tan, Qijia
    Xie, Caijun
    Sharma, Hari Shanker
    Zhang, Zhiqiang
    NOVEL THERAPEUTIC ADVANCES IN GLIOBLASTOMA, 2020, 151 : 281 - 297
12345