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Interpretable Radiomic Signature for Breast Microcalcification Detection and Classification
Breast microcalcifications are observed in 80% of mammograms, and a notable proportion can lead to invasive tumors. However, diagnosing...
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Changes in radiomic and radiologic features in meningiomas after radiation therapy
ObjectivesThis study evaluated the radiologic and radiomic features extracted from magnetic resonance imaging (MRI) in meningioma after radiation...
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Reirradiation for diffuse intrinsic pontine glioma: prognostic radiomic factors at progression
PurposeDiffuse intrinsic pontine glioma (DIPG) is a lethal pediatric brain tumor. Radiation therapy (RT) is the standard treatment, with...
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CT whole lung radiomic nomogram: a potential biomarker for lung function evaluation and identification of COPD
BackgroundComputed tomography (CT) plays a great role in characterizing and quantifying changes in lung structure and function of chronic obstructive...
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Contrast CT radiomic features add value to prediction of prognosis in adrenal cortical carcinoma
ObjectiveAdrenocortical carcinoma (ACC) is a rare and aggressive malignancy with poor prognosis due to high postoperative recurrence rates. The aim...
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Machine learning-based radiomic analysis and growth visualization for ablation site recurrence diagnosis in follow-up CT
ObjectivesDetecting ablation site recurrence (ASR) after thermal ablation remains a challenge for radiologists due to the similarity between tumor...
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CT-based radiomic analysis for categorization of ovarian sex cord-stromal tumors and epithelial ovarian cancers
PurposeTo evaluate the diagnostic potential of radiomic analyses based on machine learning that rely on contrast-enhanced computerized tomography...
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Differentiating small (< 2 cm) pancreatic ductal adenocarcinoma from neuroendocrine tumors with multiparametric MRI-based radiomic features
ObjectivesTo assess MR-based radiomic analysis in preoperatively discriminating small (< 2 cm) pancreatic ductal adenocarcinomas (PDACs) from...
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Coronary CTA-based radiomic signature of pericoronary adipose tissue predict rapid plaque progression
ObjectivesTo explore the value of radiomic features derived from pericoronary adipose tissue (PCAT) obtained by coronary computed tomography...
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Radiomic- and dosiomic-based clustering development for radio-induced neurotoxicity in pediatric medulloblastoma
BackgroundTexture analysis extracts many quantitative image features, offering a valuable, cost-effective, and non-invasive approach for individual...
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Quantitative evaluation of the infrapatellar fat pad in knee osteoarthritis: MRI-based radiomic signature
BackgroundThe infrapatellar fat pad (IFP) may have bilateral influence on knee osteoarthritis (KOA). IFP evaluation may be a key contributor to the...
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The effect of harmonization on the variability of PET radiomic features extracted using various segmentation methods
PurposeThis study aimed to examine the robustness of positron emission tomography (PET) radiomic features extracted via different segmentation...
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Radiomic applications in upper gastrointestinal cancer surgery
IntroductionCross-sectional imaging plays an integral role in the management of upper gastrointestinal (UGI) cancer, from initial diagnosis and...
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Development of PSMA-PET-guided CT-based radiomic signature to predict biochemical recurrence after salvage radiotherapy
PurposeTo develop a CT-based radiomic signature to predict biochemical recurrence (BCR) in prostate cancer patients after sRT guided by...
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Application value of CT radiomic nomogram in predicting T790M mutation of lung adenocarcinoma
BackgroundThe purpose of this study was to develop a radiomic nomogram to predict T790M mutation of lung adenocarcinoma base on non-enhanced CT lung...
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Comparative evaluation of multiparametric lumbar MRI radiomic models for detecting osteoporosis
BackgroundOsteoporosis is a serious global public health issue. Currently, there are few studies that explore the use of multiparametric MRI...
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BTK Expression Level Prediction and the High-Grade Glioma Prognosis Using Radiomic Machine Learning Models
We aimed to study whether the Bruton’s tyrosine kinase (BTK) expression is correlated with the prognosis of patients with high-grade gliomas (HGGs)...
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A common [18F]-FDG PET radiomic signature to predict survival in patients with HPV-induced cancers
Locally advanced cervical cancer (LACC) and anal and oropharyngeal squamous cell carcinoma (ASCC and OPSCC) are mostly caused by oncogenic human...
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Develo** a clinical-radiomic prediction model for 3-year cancer-specific survival in lung cancer patients treated with stereotactic body radiation therapy
PurposeThe study aims to develop and validate a combined model for predicting 3-year cancer-specific survival (CSS) in lung cancer patients treated...
