Comparison of PET and CT radiomics for prediction of local tumor control in head and neck squamous cell carcinoma
M Bogowicz, O Riesterer, LS Stark, G Studer… - Acta …, 2017 - Taylor & Francis
Purpose: An association between radiomic features extracted from CT and local tumor
control in the head and neck squamous cell carcinoma (HNSCC) has been shown. This …
control in the head and neck squamous cell carcinoma (HNSCC) has been shown. This …
Test–retest data for radiomics feature stability analysis: generalizable or study-specific?
Radiomics is an objective method for extracting quantitative information from medical
images. However, in radiomics, standardization, overfitting, and generalization are major …
images. However, in radiomics, standardization, overfitting, and generalization are major …
[HTML][HTML] The development and validation of a CT-based radiomics signature for the preoperative discrimination of stage I-II and stage III-IV colorectal cancer
Objectives To investigative the predictive ability of radiomics signature for preoperative
staging (I-IIvs. III-IV) of primary colorectal cancer (CRC). Methods This study consisted of 494 …
staging (I-IIvs. III-IV) of primary colorectal cancer (CRC). Methods This study consisted of 494 …
[HTML][HTML] Assessing agreement between radiomic features computed for multiple CT imaging settings
Objectives Radiomics utilizes quantitative image features (QIFs) to characterize tumor
phenotype. In practice, radiological images are obtained from different vendors' equipment …
phenotype. In practice, radiological images are obtained from different vendors' equipment …
Development and validation of a CT-based radiomic nomogram for preoperative prediction of early recurrence in advanced gastric cancer
Background In the clinical management of advanced gastric cancer (AGC), preoperative
identification of early recurrence after curative resection is essential. Thus, we aimed to …
identification of early recurrence after curative resection is essential. Thus, we aimed to …
[HTML][HTML] Radiomic analysis reveals DCE-MRI features for prediction of molecular subtypes of breast cancer
The purpose of this study was to investigate the role of features derived from breast dynamic
contrast-enhanced magnetic resonance imaging (DCE-MRI) and to incorporated clinical …
contrast-enhanced magnetic resonance imaging (DCE-MRI) and to incorporated clinical …
[HTML][HTML] Radiomics-based features for pattern recognition of lung cancer histopathology and metastases
JRF Junior, M Koenigkam-Santos, FEG Cipriano… - Computer methods and …, 2018 - Elsevier
Background and Objectives: lung cancer is the leading cause of cancer-related deaths in the
world, and its poor prognosis varies markedly according to tumor staging. Computed …
world, and its poor prognosis varies markedly according to tumor staging. Computed …
[PDF][PDF] Radiomics in PET imaging: a practical guide for newcomers
Radiomic analysis of PET images is a promising approach to extract subtler information and
continuously evolves with advances in artificial intelligence. Using deep-learning methods …
continuously evolves with advances in artificial intelligence. Using deep-learning methods …
[HTML][HTML] Radiographic prediction of meningioma grade by semantic and radiomic features
Objectives The clinical management of meningioma is guided by tumor grade and biological
behavior. Currently, the assessment of tumor grade follows surgical resection and …
behavior. Currently, the assessment of tumor grade follows surgical resection and …
Imaging heterogeneity in lung cancer: techniques, applications, and challenges
U Bashir, MM Siddique, E Mclean… - American Journal of …, 2016 - Am Roentgen Ray Soc
OBJECTIVE. Texture analysis involves the mathematic processing of medical images to
derive sets of numeric quantities that measure heterogeneity. Studies on lung cancer have …
derive sets of numeric quantities that measure heterogeneity. Studies on lung cancer have …