FLASH radiotherapy: current knowledge and future insights using proton-beam therapy

JR Hughes, JL Parsons - International journal of molecular sciences, 2020 - mdpi.com
FLASH radiotherapy is the delivery of ultra-high dose rate radiation several orders of
magnitude higher than what is currently used in conventional clinical radiotherapy, and has …

Digital health for optimal supportive care in oncology: benefits, limits, and future perspectives

M Aapro, P Bossi, A Dasari, L Fallowfield… - Supportive care in …, 2020 - Springer
Background Digital health provides solutions that capture patient-reported outcomes (PROs)
and allows symptom monitoring and patient management. Digital therapeutics is the …

Deep learning based synthetic‐CT generation in radiotherapy and PET: a review

MF Spadea, M Maspero, P Zaffino, J Seco - Medical physics, 2021 - Wiley Online Library
Abstract Recently, deep learning (DL)‐based methods for the generation of synthetic
computed tomography (sCT) have received significant research attention as an alternative to …

Roadmap: proton therapy physics and biology

H Paganetti, C Beltran, S Both, L Dong… - Physics in Medicine …, 2021 - iopscience.iop.org
The treatment of cancer with proton radiation therapy was first suggested in 1946 followed
by the first treatments in the 1950s. As of 2020, almost 200 000 patients have been treated …

Radioprotection and radiomitigation: from the bench to clinical practice

E Obrador, R Salvador, JI Villaescusa, JM Soriano… - Biomedicines, 2020 - mdpi.com
The development of protective agents against harmful radiations has been a subject of
investigation for decades. However, effective (ideal) radioprotectors and radiomitigators …

Repeatability and reproducibility study of radiomic features on a phantom and human cohort

AK Jha, S Mithun, V Jaiswar, UB Sherkhane… - Scientific reports, 2021 - nature.com
The repeatability and reproducibility of radiomic features extracted from CT scans need to be
investigated to evaluate the temporal stability of imaging features with respect to a controlled …

Roadmap for metal nanoparticles in radiation therapy: Current status, translational challenges, and future directions

J Schuemann, AF Bagley, R Berbeco… - Physics in Medicine …, 2020 - iopscience.iop.org
This roadmap outlines the potential roles of metallic nanoparticles (MNPs) in the field of
radiation therapy. MNPs made up of a wide range of materials (from Titanium, Z= 22, to …

Artificial intelligence in CT and MR imaging for oncological applications

R Paudyal, AD Shah, O Akin, RKG Do, AS Konar… - Cancers, 2023 - mdpi.com
Simple Summary The two most common cross-sectional imaging modalities, computed
tomography (CT) and magnetic resonance imaging (MRI), have shown enormous utility in …

High-dimensional role of AI and machine learning in cancer research

E Capobianco - British journal of cancer, 2022 - nature.com
Abstract The role of Artificial Intelligence and Machine Learning in cancer research offers
several advantages, primarily scaling up the information processing and increasing the …

Advances in biomimetic nanoparticles for targeted cancer therapy and diagnosis

CY Beh, RP Prajnamitra, LL Chen, PCH Hsieh - Molecules, 2021 - mdpi.com
Biomimetic nanoparticles have recently emerged as a novel drug delivery platform to
improve drug biocompatibility and specificity at the desired disease site, especially the …