Robust Intratumor Partitioning to Identify High-Risk Subregions in Lung Cancer: A Pilot Study
about
Non-small cell lung cancer: quantitative phenotypic analysis of CT images as a potential marker of prognosis.Intratumor partitioning and texture analysis of dynamic contrast-enhanced (DCE)-MRI identifies relevant tumor subregions to predict pathological response of breast cancer to neoadjuvant chemotherapyKinetic change of serum carcinoembryonic antigen can early predict progression in patients with metastatic non-small cell lung cancer during maintenance therapy with bevacizumab plus pemetrexed.Radiomics and radiogenomics for precision radiotherapy.Clinical applications of textural analysis in non-small cell lung cancer.CT Radiomics in Thoracic Oncology: Technique and Clinical Applications
P2860
Robust Intratumor Partitioning to Identify High-Risk Subregions in Lung Cancer: A Pilot Study
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
2016年论文
@zh
2016年论文
@zh-cn
name
Robust Intratumor Partitioning ...... in Lung Cancer: A Pilot Study
@en
type
label
Robust Intratumor Partitioning ...... in Lung Cancer: A Pilot Study
@en
prefLabel
Robust Intratumor Partitioning ...... in Lung Cancer: A Pilot Study
@en
P2093
P2860
P1476
Robust Intratumor Partitioning ...... in Lung Cancer: A Pilot Study
@en
P2093
Billy W Loo
Daniel L Rubin
Maximilian Diehn
Michael F Gensheimer
Ruijiang Li
Sandy Napel
Xinzhe Dong
P2860
P304
P356
10.1016/J.IJROBP.2016.03.018
P407
P577
2016-03-24T00:00:00Z