MRI-based radiomics nomogram may predict the response to induction chemotherapy and survival in locally advanced nasopharyngeal carcinoma

Predictive value of pretreatment MRI texture analysis in patients with primary nasopharyngeal carcinoma

(2019) Jiaji Mao et al.   EUROPEAN RADIOLOGY

Pretreatment MR imaging radiomics signatures for response prediction to induction chemotherapy in patients with nasopharyngeal carcinoma

(2018) Guangyi Wang et al.   EUROPEAN JOURNAL OF RADIOLOGY

Neoadjuvant chemotherapy followed by concurrent chemoradiotherapy versus concurrent chemoradiotherapy alone in locoregionally advanced nasopharyngeal carcinoma: A phase III multicentre randomised controlled trial

(2017) Su-Mei Cao et al.   EUROPEAN JOURNAL OF CANCER

The Rise of Radiomics and Implications for Oncologic Management

(2017) Vivek Verma et al.   JNCI-Journal of the National Cancer Institute

The Rise of Radiomics and Implications for Oncologic Management

(2017) Vivek Verma et al.   JNCI-Journal of the National Cancer Institute

Disrupted white matter connectivity underlying developmental dyslexia: A machine learning approach

(2016) Zaixu Cui et al.   HUMAN BRAIN MAPPING

Use of texture analysis based on contrast-enhanced MRI to predict treatment response to chemoradiotherapy in nasopharyngeal carcinoma

(2016) Jia Liu et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Prognostic Model of Death and Distant Metastasis for Nasopharyngeal Carcinoma Patients Receiving 3DCRT/IMRT in Nonendemic Area of China

(2016) Jian Zang et al.   MEDICINE

Prediction of brain maturity in infants using machine-learning algorithms

(2016) Christopher D. Smyser et al.   NEUROIMAGE

Radiomics: Images Are More than Pictures, They Are Data

(2016) Robert J. Gillies et al.   RADIOLOGY

The Tumour Response to Induction Chemotherapy has Prognostic Value for Long-Term Survival Outcomes after Intensity-Modulated Radiation Therapy in Nasopharyngeal Carcinoma

(2016) Hao Peng et al.   Scientific Reports

Chemotherapy and radiotherapy in nasopharyngeal carcinoma: an update of the MAC-NPC meta-analysis

(2015) Pierre Blanchard et al.   LANCET ONCOLOGY

Is there a causal relationship between genetic changes and radiomics-based image features? An in vivo preclinical experiment with doxycycline inducible GADD34 tumor cells

(2015) Kranthi Marella Panth et al.   RADIOTHERAPY AND ONCOLOGY

Spatial Habitat Features Derived from Multiparametric Magnetic Resonance Imaging Data Are Associated with Molecular Subtype and 12-Month Survival Status in Glioblastoma Multiforme

(2015) Joonsang Lee et al.   PLoS One

Machine learning for predicting the response of breast cancer to neoadjuvant chemotherapy

(2013) Subramani Mani et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Clinical outcome for nasopharyngeal carcinoma with predominantly WHO II histology treated with intensity-modulated radiation therapy in non-endemic region of China

(2012) Li-Na Zhao et al.   ORAL ONCOLOGY

Failure patterns and survival in patients with nasopharyngeal carcinoma treated with intensity modulated radiation in Northwest China: A pilot study

(2012) Jianhua Wang et al.   Radiation Oncology

New response evaluation criteria in solid tumours: Revised RECIST guideline (version 1.1)

(2008) E.A. Eisenhauer et al.   EUROPEAN JOURNAL OF CANCER

How Does Magnetic Resonance Imaging Influence Staging According to AJCC Staging System for Nasopharyngeal Carcinoma Compared With Computed Tomography?

(2008) Xin-Biao Liao et al.   INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS

Identification of noninvasive imaging surrogates for brain tumor gene-expression modules

(2008) Maximilian Diehn et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA