Literature DB >> 27717679

Cancer heterogeneity and imaging.

James P B O'Connor1.   

Abstract

There is interest in identifying and quantifying tumor heterogeneity at the genomic, tissue pathology and clinical imaging scales, as this may help better understand tumor biology and may yield useful biomarkers for guiding therapy-based decision making. This review focuses on the role and value of using x-ray, CT, MRI and PET based imaging methods that identify, measure and map tumor heterogeneity. In particular we highlight the potential value of these techniques and the key challenges required to validate and qualify these biomarkers for clinical use.
Copyright © 2016. Published by Elsevier Ltd.

Entities:  

Keywords:  Biomarker; Cancer; Heterogeneity; Imaging

Mesh:

Substances:

Year:  2016        PMID: 27717679     DOI: 10.1016/j.semcdb.2016.10.001

Source DB:  PubMed          Journal:  Semin Cell Dev Biol        ISSN: 1084-9521            Impact factor:   7.727


  16 in total

1.  Evaluating the Accuracy of FUCCI Cell Cycle In Vivo Fluorescent Imaging to Assess Tumor Proliferation in Preclinical Oncology Models.

Authors:  Yun Lu; Adriana V F Massicano; Carlos A Gallegos; Katherine A Heinzman; Sean W Parish; Jason M Warram; Anna G Sorace
Journal:  Mol Imaging Biol       Date:  2022-06-01       Impact factor: 3.488

2.  MRI radiomics in the prediction of the volumetric response in meningiomas after gamma knife radiosurgery.

Authors:  Herwin Speckter; Marko Radulovic; Kire Trivodaliev; Velicko Vranes; Johanna Joaquin; Wenceslao Hernandez; Angel Mota; Jose Bido; Giancarlo Hernandez; Diones Rivera; Luis Suazo; Santiago Valenzuela; Peter Stoeter
Journal:  J Neurooncol       Date:  2022-06-17       Impact factor: 4.506

Review 3.  MRI Radiogenomics in Precision Oncology: New Diagnosis and Treatment Method.

Authors:  Xiao-Xia Yin; Mingyong Gao; Wei Wang; Yanchun Zhang
Journal:  Comput Intell Neurosci       Date:  2022-07-07

4.  Multiparametric Analysis of Longitudinal Quantitative MRI data to Identify Distinct Tumor Habitats in Preclinical Models of Breast Cancer.

Authors:  Anum K Syed; Jennifer G Whisenant; Stephanie L Barnes; Anna G Sorace; Thomas E Yankeelov
Journal:  Cancers (Basel)       Date:  2020-06-24       Impact factor: 6.639

5.  Noninvasive evaluation of 18F-FDG/18F-FMISO-based Micro PET in monitoring hepatic metastasis of colorectal cancer.

Authors:  Mingyu Zhang; Huijie Jiang; Rongjun Zhang; Hailong Xu; Hao Jiang; Wenbin Pan; Xin Li; Yiqiao Wang; Song Wang
Journal:  Sci Rep       Date:  2018-12-13       Impact factor: 4.379

6.  Tumor Ensemble-Based Modeling and Visualization of Emergent Angiogenic Heterogeneity in Breast Cancer.

Authors:  Spyros K Stamatelos; Akanksha Bhargava; Eugene Kim; Aleksander S Popel; Arvind P Pathak
Journal:  Sci Rep       Date:  2019-03-27       Impact factor: 4.379

7.  Bridging the translational gap: Implementation of multimodal small animal imaging strategies for tumor burden assessment in a co-clinical trial.

Authors:  S J Blocker; Y M Mowery; M D Holbrook; Y Qi; D G Kirsch; G A Johnson; C T Badea
Journal:  PLoS One       Date:  2019-04-08       Impact factor: 3.240

8.  Predictive Radiomic Models for the Chemotherapy Response in Non-Small-Cell Lung Cancer based on Computerized-Tomography Images.

Authors:  Runsheng Chang; Shouliang Qi; Yong Yue; Xiaoye Zhang; Jiangdian Song; Wei Qian
Journal:  Front Oncol       Date:  2021-07-07       Impact factor: 6.244

9.  A new method for the high-precision assessment of tumor changes in response to treatment.

Authors:  P D Tar; N A Thacker; M Babur; Y Watson; S Cheung; R A Little; R G Gieling; K J Williams; J P B O'Connor
Journal:  Bioinformatics       Date:  2018-08-01       Impact factor: 6.937

10.  Radiomics and radiogenomics for precision radiotherapy.

Authors:  Jia Wu; Khin Khin Tha; Lei Xing; Ruijiang Li
Journal:  J Radiat Res       Date:  2018-03-01       Impact factor: 2.724

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.