Modeling pathologic response of esophageal cancer to chemoradiation therapy using spatial-temporal 18F-FDG PET features, clinical parameters, and demographics
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Predicting the Response of Neoadjuvant Therapy for Patients with Esophageal Carcinoma: an In-depth Literature ReviewQuantitative correlational study of microbubble-enhanced ultrasound imaging and magnetic resonance imaging of glioma and early response to radiotherapy in a rat model.Adaptive region-growing with maximum curvature strategy for tumor segmentation in 18F-FDG PET.Relationship between the Temporal Changes in Positron-Emission-Tomography-Imaging-Based Textural Features and Pathologic Response and Survival in Esophageal Cancer Patients.18F-FDG PET-Derived Textural Indices Reflect Tissue-Specific Uptake Pattern in Non-Small Cell Lung Cancer.Computerized PET/CT image analysis in the evaluation of tumour response to therapy.Pre-Chemoradiotherapy FDG PET/CT cannot Identify Residual Metabolically-Active Volumes within Individual Esophageal TumorsPredictive value of initial FDG-PET features for treatment response and survival in esophageal cancer patients treated with chemo-radiation therapy using a random forest classifier.Applications and limitations of radiomicsPredicting distant failure in early stage NSCLC treated with SBRT using clinical parameters.Positron emission tomography/computerized tomography for tumor response assessment-a review of clinical practices and radiomics studiesThe application of functional imaging techniques to personalise chemoradiotherapy in upper gastrointestinal malignancies.State-of-the-art molecular imaging in esophageal cancer management: implications for diagnosis, prognosis, and treatment."Radio-oncomics" : The potential of radiomics in radiation oncology.Robust Intratumor Partitioning to Identify High-Risk Subregions in Lung Cancer: A Pilot StudyA geometric atlas to predict lung tumor shrinkage for radiotherapy treatment planning.Textural features of 18F-fluorodeoxyglucose positron emission tomography scanning in diagnosing aortic prosthetic graft infection.The value of nodal information in predicting lung cancer relapse using 4DPET/4DCT.Editorial on "Can CT-PET and endoscopic assessment post-neoadjuvant chemoradiotherapy predict residual disease in esophageal cancer".Radiomic analysis in contrast-enhanced CT: predict treatment response to chemoradiotherapy in esophageal carcinoma.Zone-size nonuniformity of 18F-FDG PET regional textural features predicts survival in patients with oropharyngeal cancer.Radiomics analysis of pulmonary nodules in low-dose CT for early detection of lung cancer.Radiomic analysis in T2W and SPAIR T2W MRI: predict treatment response to chemoradiotherapy in esophageal squamous cell carcinoma.The Role of PET-Based Radiomic Features in Predicting Local Control of Esophageal Cancer Treated with Concurrent Chemoradiotherapy.Increased FDG uptake on late-treatment PET in non-tumour-affected oesophagus is prognostic for pathological complete response and disease recurrence in patients undergoing neoadjuvant radiochemotherapyDeveloping Predictive or Prognostic Biomarkers for Charged Particle Radiotherapy
P2860
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P2860
Modeling pathologic response of esophageal cancer to chemoradiation therapy using spatial-temporal 18F-FDG PET features, clinical parameters, and demographics
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2013 nî lūn-bûn
@nan
2013 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Modeling pathologic response o ...... l parameters, and demographics
@ast
Modeling pathologic response o ...... l parameters, and demographics
@en
Modeling pathologic response o ...... l parameters, and demographics
@nl
type
label
Modeling pathologic response o ...... l parameters, and demographics
@ast
Modeling pathologic response o ...... l parameters, and demographics
@en
Modeling pathologic response o ...... l parameters, and demographics
@nl
prefLabel
Modeling pathologic response o ...... l parameters, and demographics
@ast
Modeling pathologic response o ...... l parameters, and demographics
@en
Modeling pathologic response o ...... l parameters, and demographics
@nl
P2093
P2860
P1476
Modeling pathologic response o ...... l parameters, and demographics
@en
P2093
Mohan Suntharalingam
Seth Kligerman
Warren D D'Souza
Wengen Chen
P2860
P304
P356
10.1016/J.IJROBP.2013.09.037
P407
P50
P577
2013-11-01T00:00:00Z