Background Visual and histogram-based assessments of coronary CT angiography have
limited accuracy in the identification of advanced lesions. Radiomics-based machine learning (…

… Fifth, the radiomic features extracted in this study may differ from the original publication from
Aerts et al. (29) because of the use of the recent PyRadiomics platform (50). Last, the use of …

… In this Comment, the list of authors should have included Ahmed Hosny and Hugo J Aerts.
The declarations of interests for Ahmed Hosny and Hugo J Aerts have been added. These …

BACKGROUND AND PURPOSE: Imaging assessment of an immunotherapy response in
glioblastoma is challenging due to overlap in the appearance of treatment-related changes …

Radiomics is a quantitative approach to medical image analysis targeted at deciphering the
morphologic and functional features of a lesion. Radiomic methods can be applied across …

Purpose In 699 patients with locally advanced non–small-cell lung cancer (NSCLC) treated
with radiation therapy as part of combined modality therapy, we compared outcomes among …

Objectives: Tumor control (TC), toxicity and survival, following stereotactic body radiation
therapy (SBRT) were compared between patients with and without a prior lung resection (PLR). …

Objectives Distant metastases (DM) are the primary driver of mortality for patients with early
stage non-small cell lung cancer (NSCLC) receiving stereotactic body radiation therapy (…

Aim: We studied body composition throughout the first year after diagnosis and its association
with overall survival (OS) among esophageal cancer patients. Methods: We utilized …

By immunoprecipitation we have identified a soluble plasma form of CD163 (sCD163), the IL-6
inducible macrophage-receptor for clearing haptoglobinhaemoglobin complexes. A …