Literature DB >> 22404738

A realistic utilization of nanotechnology in molecular imaging and targeted radiotherapy of solid tumors.

Vivek Patel1, Rao V L Papineni, Seema Gupta, Radka Stoyanova, Mansoor M Ahmed.   

Abstract

Precise dose delivery to malignant tissue in radiotherapy is of paramount importance for treatment efficacy while minimizing morbidity of surrounding normal tissues. Current conventional imaging techniques, such as magnetic resonance imaging (MRI) and computerized tomography (CT), are used to define the three-dimensional shape and volume of the tumor for radiation therapy. In many cases, these radiographic imaging (RI) techniques are ambiguous or provide limited information with regard to tumor margins and histopathology. Molecular imaging (MI) modalities, such as positron emission tomography (PET) and single photon-emission computed-tomography (SPECT) that can characterize tumor tissue, are rapidly becoming routine in radiation therapy. However, their inherent low spatial resolution impedes tumor delineation for the purposes of radiation treatment planning. This review will focus on applications of nanotechnology to synergize imaging modalities in order to accurately highlight, as well as subsequently target, tumor cells. Furthermore, using such nano-agents for imaging, simultaneous coupling of novel therapeutics including radiosensitizers can be delivered specifically to the tumor to maximize tumor cell killing while sparing normal tissue.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22404738     DOI: 10.1667/rr2597.1

Source DB:  PubMed          Journal:  Radiat Res        ISSN: 0033-7587            Impact factor:   2.841


  2 in total

1.  Translation of the ecological trap concept to glioma therapy: the cancer cell trap concept.

Authors:  Boudewijn van der Sanden; Florence Appaix; François Berger; Laurent Selek; Jean-Paul Issartel; Didier Wion
Journal:  Future Oncol       Date:  2013-06       Impact factor: 3.404

2.  Gold Nanoparticles for Brain Tumor Imaging: A Systematic Review.

Authors:  Antonio Meola; Jianghong Rao; Navjot Chaudhary; Mayur Sharma; Steven D Chang
Journal:  Front Neurol       Date:  2018-05-14       Impact factor: 4.003

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.