Literature DB >> 27080346

PET guidance in prostate cancer radiotherapy: Quantitative imaging to predict response and guide treatment.

G M Cattaneo1, V Bettinardi2, P Mapelli2, M Picchio2.   

Abstract

Positron emission tomography (PET) allows a monitoring and recording of the spatial and temporal distribution of molecular/cellular processes for diagnostic and therapeutic applications. The aim of this review is to describe the current applications and to explore the role of PET in prostate cancer management, mainly in the radiation therapy (RT) scenario. The state-of-the art of PET for prostate cancer will be presented together with the impact of new specific PET tracers and technological developments aiming at obtaining better imaging quality, increased tumor detectability and more accurate volume delineation. An increased number of studies have been focusing on PET quantification methods as predictive biomarkers capable of guiding individualized treatment and improving patient outcome; the sophisticated advanced intensity modulated and imaged guided radiation therapy techniques (IMRT/IGRT) are capable of boosting more radioresistant tumor (sub)volumes. The use of advanced feature analyses of PET images is an approach that holds great promise with regard to several oncological diseases, but needs further validation in managing prostate diseases.
Copyright © 2016 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Individualized treatment; Pet; Predicting biomarkers; Prostate cancer

Mesh:

Year:  2016        PMID: 27080346     DOI: 10.1016/j.ejmp.2016.02.013

Source DB:  PubMed          Journal:  Phys Med        ISSN: 1120-1797            Impact factor:   2.685


  2 in total

1.  Deep phenotyping for precision medicine in Parkinson's disease.

Authors:  Ann-Kathrin Schalkamp; Nabila Rahman; Jimena Monzón-Sandoval; Cynthia Sandor
Journal:  Dis Model Mech       Date:  2022-06-01       Impact factor: 5.732

2.  Evaluation of Dose-Painting in the Dominant Intraprostatic Lesions by Radiobiological Parameters using 68Ga- PSMA PET/CT.

Authors:  Khadijeh Bamneshin; Seied Rabi Mahdavi; Ahmad Bitarafan-Rajabi; Parham Geramifar; Payman Hejazi; Fereshteh Koosha; Majid Jadidi
Journal:  J Biomed Phys Eng       Date:  2022-08-01
  2 in total

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