This study investigates, through a narrative review, the transformative impact of deep
learning (DL) in the field of radiotherapy, particularly in light of the accelerated …

Purpose: Magnetic resonance imaging (MRI)‐only radiotherapy treatment planning requires
accurate pseudo‐CT (pCT) images for precise dose calculation. The current work introduced …

This clinical study aimed to evaluate lung cancer patients' ability to perform deep inspiration
breath‐hold (DIBH) during CT simulation and throughout the treatment course of stereotactic …

Dosimetric uncertainties in very small (≤ 1.5× 1.5 cm2) photon fields are remarkably higher,
which undermines the validity of the virtual cone (VC) technique with a diminutive and …

The pandemic has reinforced older adults' reliance on their homes and the concept of “aging
in place”. Changes like reduced physical strength and cognitive deficit, however, have …

In breast cancer radiotherapy treatment with Volumetric Modulated Arc Therapy (VMAT), the
respiratory motion may lead to underdosing of the target and overdosing of critical organs …

Background For a given prescribed dose of radiotherapy, with the successive generations of
dose calculation algorithms, more monitor units (MUs) are generally needed. This is due to …

Background The equivalent uniform dose (EUD) radiobiological model can be applied for
lung cancer treatment plans to estimate the tumor control probability (TCP) and the normal …

Background. The benefit of proton therapy may be jeopardized by dose deterioration caused
by water equivalent path length (WEPL) variations. In this study we introduced a method to …

Purpose To assess the potential dosimetric benefits associated with the CyberKnife (CK)
tumor tracking capability, wherein an extra margin for respiratory tumor motion is not …