Texture analysis of advanced non-small cell lung cancer (NSCLC) on contrast-enhanced computed tomography: prediction of the response to the first-line chemotherapy.
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False Discovery Rates in PET and CT Studies with Texture Features: A Systematic ReviewCT-based radiomic signature predicts distant metastasis in lung adenocarcinomaNoninvasive risk stratification of lung adenocarcinoma using quantitative computed tomography.Quantitative computed tomographic descriptors associate tumor shape complexity and intratumor heterogeneity with prognosis in lung adenocarcinoma.CT texture analysis of renal masses: pilot study using random forest classification for prediction of pathologyQuantification of heterogeneity as a biomarker in tumor imaging: a systematic reviewImpact of Reconstruction Algorithms on CT Radiomic Features of Pulmonary Tumors: Analysis of Intra- and Inter-Reader Variability and Inter-Reconstruction Algorithm VariabilityRole of quantitative computed tomography texture analysis in the differentiation of primary lung cancer and granulomatous nodules.Radiomic phenotype features predict pathological response in non-small cell lung cancer.Non-small cell lung cancer: quantitative phenotypic analysis of CT images as a potential marker of prognosis.The Pursuit of Noninvasive Diagnosis of Lung Cancer.New techniques for assessing response after hypofractionated radiotherapy for lung cancerIBEX: an open infrastructure software platform to facilitate collaborative work in radiomics.Radiomic Features Are Associated With EGFR Mutation Status in Lung Adenocarcinomas.Anorexia Nervosa: Analysis of Trabecular Texture with CT.The effects of segmentation algorithms on the measurement of 18F-FDG PET texture parameters in non-small cell lung cancerTumor heterogeneity assessed by texture analysis on contrast-enhanced CT in lung adenocarcinoma: association with pathologic grade.The prognostic value of CT radiomic features for patients with pulmonary adenocarcinoma treated with EGFR tyrosine kinase inhibitors.Quantitative texture analysis on pre-treatment computed tomography predicts local recurrence in stage I non-small cell lung cancer following stereotactic radiation therapy.Response assessment to neoadjuvant therapy in soft tissue sarcomas: using CT texture analysis in comparison to tumor size, density, and perfusion.Pulmonary quantitative CT imaging in focal and diffuse disease: current research and clinical applications.Clinical applications of textural analysis in non-small cell lung cancer.Prognostic value of histogram analysis in advanced non-small cell lung cancer: a radiomic study.Quantitative CT texture and shape analysis: can it differentiate benign and malignant mediastinal lymph nodes in patients with primary lung cancer?
P2860
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P2860
Texture analysis of advanced non-small cell lung cancer (NSCLC) on contrast-enhanced computed tomography: prediction of the response to the first-line chemotherapy.
description
2013 nî lūn-bûn
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2013年の論文
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2013年学术文章
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2013年学术文章
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name
Texture analysis of advanced n ...... o the first-line chemotherapy.
@en
Texture analysis of advanced non-small cell lung cancer
@nl
type
label
Texture analysis of advanced n ...... o the first-line chemotherapy.
@en
Texture analysis of advanced non-small cell lung cancer
@nl
prefLabel
Texture analysis of advanced n ...... o the first-line chemotherapy.
@en
Texture analysis of advanced non-small cell lung cancer
@nl
P2093
P2860
P1433
P1476
Texture analysis of advanced n ...... o the first-line chemotherapy.
@en
P2093
Davide Farina
Gianfranco Tassi
Giuseppe Cavalleri
Marco Ravanelli
Mauro Morassi
Roberto Maroldi
P2860
P2888
P304
P356
10.1007/S00330-013-2965-0
P407
P50
P577
2013-07-09T00:00:00Z