Literature DB >> 32582396

Radiogenomics Based on PET Imaging.

Yong-Jin Park1, Mu Heon Shin1, Seung Hwan Moon1.   

Abstract

Radiogenomics or imaging genomics is a novel omics strategy of associating imaging data with genetic information, which has the potential to advance personalized medicine. Imaging features extracted from PET or PET/CT enable assessment of in vivo functional and physiological activity and provide comprehensive tumor information non-invasively. However, PET features are considered secondary to features on conventional imaging, and there has not yet been a review of the radiogenomic approach using PET features. This review article summarizes the current state of PET-based radiogenomic research for cancer, which discusses some of its limitations and directions for future study. © Korean Society of Nuclear Medicine 2020.

Entities:  

Keywords:  Oncology; Positron emission tomography (PET); Radiogenomics

Year:  2020        PMID： 32582396      PMCID： PMC7295928          DOI： 10.1007/s13139-020-00642-x

Source DB:  PubMed          Journal:  Nucl Med Mol Imaging        ISSN： 1869-3474


  77 in total

Review 1.  Towards precision medicine: from quantitative imaging to radiomics.

Authors:  U Rajendra Acharya; Yuki Hagiwara; Vidya K Sudarshan; Wai Yee Chan; Kwan Hoong Ng
Journal:  J Zhejiang Univ Sci B       Date:  2018 Jan.       Impact factor: 3.066

2.  Intrinsic dimension estimation for locally undersampled data.

Authors:  Vittorio Erba; Marco Gherardi; Pietro Rotondo
Journal:  Sci Rep       Date:  2019-11-20       Impact factor: 4.379

Review 3.  Analysis of next-generation genomic data in cancer: accomplishments and challenges.

Authors:  Li Ding; Michael C Wendl; Daniel C Koboldt; Elaine R Mardis
Journal:  Hum Mol Genet       Date:  2010-09-15       Impact factor: 6.150

4.  Correlations between metabolic texture features, genetic heterogeneity, and mutation burden in patients with lung cancer.

Authors:  Seung Hwan Moon; Jinho Kim; Je-Gun Joung; Hongui Cha; Woong-Yang Park; Jin Seok Ahn; Myung-Ju Ahn; Keunchil Park; Joon Young Choi; Kyung-Han Lee; Byung-Tae Kim; Se-Hoon Lee
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-08-25       Impact factor: 9.236

5.  The association of 18F-deoxyglucose (FDG) uptake of PET with polymorphisms in the glucose transporter gene (SLC2A1) and hypoxia-related genes (HIF1A, VEGFA, APEX1) in non-small cell lung cancer. SLC2A1 polymorphisms and FDG-PET in NSCLC patients.

Authors:  Seong-Jang Kim; Sang-Hyun Hwang; In Joo Kim; Min Ki Lee; Chang Hun Lee; Sang-Yull Lee; Eun Yup Lee
Journal:  J Exp Clin Cancer Res       Date:  2010-06-12

6.  Radiogenomics: what it is and why it is important.

Authors:  Maciej A Mazurowski
Journal:  J Am Coll Radiol       Date:  2015-08       Impact factor: 5.532

7.  IDH mutation status impact on in vivo hypoxia biomarkers expression: new insights from a clinical, nuclear imaging and immunohistochemical study in 33 glioma patients.

Authors:  Philippe Metellus; Carole Colin; David Taieb; Eric Guedj; Isabelle Nanni-Metellus; Andre Maues de Paula; Cécile Colavolpe; Stephane Fuentes; Henry Dufour; Marylin Barrie; Olivier Chinot; L'houcine Ouafik; Dominique Figarella-Branger
Journal:  J Neurooncol       Date:  2011-06-05       Impact factor: 4.506

Review 8.  The causes and consequences of genetic heterogeneity in cancer evolution.

Authors:  Rebecca A Burrell; Nicholas McGranahan; Jiri Bartek; Charles Swanton
Journal:  Nature       Date:  2013-09-19       Impact factor: 49.962

9.  Diagnostic FDG and FDOPA positron emission tomography scans distinguish the genomic type and treatment outcome of neuroblastoma.

Authors:  Yen-Lin Liu; Meng-Yao Lu; Hsiu-Hao Chang; Ching-Chu Lu; Dong-Tsamn Lin; Shiann-Tarng Jou; Yung-Li Yang; Ya-Ling Lee; Shiu-Feng Huang; Yung-Ming Jeng; Hsinyu Lee; James S Miser; Kai-Hsin Lin; Yung-Feng Liao; Wen-Ming Hsu; Kai-Yuan Tzen
Journal:  Oncotarget       Date:  2016-04-05

10.  Reproducibility of F18-FDG PET radiomic features for different cervical tumor segmentation methods, gray-level discretization, and reconstruction algorithms.

Authors:  Baderaldeen A Altazi; Geoffrey G Zhang; Daniel C Fernandez; Michael E Montejo; Dylan Hunt; Joan Werner; Matthew C Biagioli; Eduardo G Moros
Journal:  J Appl Clin Med Phys       Date:  2017-09-11       Impact factor: 2.102
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  1 in total

1.  Prognostic Significance of FDG PET/CT in Esophageal Squamous Cell Carcinoma in the Era of the 8th AJCC/UICC Staging System.

Authors:  Hyunjong Lee; Kyung Soo Lee; Yang Won Min; Hong Kwan Kim; Jae Ill Zo; Young Mog Shim; Joon Young Choi
Journal:  Front Oncol       Date:  2022-06-30       Impact factor: 5.738
  1 in total

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