Integrating radiomic features from T2-weighted and contrast-enhanced MRI to evaluate pathologic rectal tumor regression after chemoradiation

Ultrahigh Penetration and Retention of Graphene Quantum Dot Mesoporous Silica Nanohybrids for Image Guided Tumor Regression

“…Interestingly, MS is recognized as a safe biomaterial for drug delivery applications due to their high surface area, large cargo capacity, and biocompatibility. − Nevertheless, their low targeting ability, poor accumulation in tumors and slow degradation are being questioned. − Therefore, to overcome these limitations, biodegradable nanohybrids have been proposed recently but they are far from addressing the site-selective tumor imaging and image guided tumor regression. − On the other hand, fluorescent graphene quantum dots (GQDs) have been widely used for tumor diagnosis and near-infrared (NIR) light responsive photothermal therapy in cancer nanomedicine. − These GQDs are highly promising for targeted tumor imaging due to their ultrasmall size, deep tissue visualization, and high aqueous dispersibility. However, the rapid clearance of GQDs is a critical issue so far. ,, Overall, MS and fluorescent GQDs have been recognized as promising platforms for diagnostics and cancer therapeutics individually. − Next, GQDs integrated mesoporous silica (MS) is a recent development for cancer diagnostics and therapeutics. ,− Especially, carbon nanodots incorporated mesoporous silica is recently reported for photothermal-immunotherapy but far from explaining about the image guided tumor regression with a precise follow-up …”