Literature DB >> 29942396

Radiomics in Oncological PET/CT: Clinical Applications.

Jeong Won Lee1,2, Sang Mi Lee3.   

Abstract

18F-fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) is widely used for staging, evaluating treatment response, and predicting prognosis in malignant diseases. FDG uptake and volumetric PET parameters such as metabolic tumor volume have been used and are still used as conventional PET parameters to assess biological characteristics of tumors. However, in recent years, additional features derived from PET images by computational processing have been found to reflect intratumoral heterogeneity, which is related to biological tumor features, and to provide additional predictive and prognostic information, which leads to the concept of radiomics. In this review, we focus on recent clinical studies of malignant diseases that investigated intratumoral heterogeneity on PET/CT, and we discuss its clinical role in various cancers.

Entities:  

Keywords:  Heterogeneity; Image analysis; Neoplasm; Positron emission tomography; Radiomics

Year:  2017        PMID： 29942396      PMCID： PMC5995782          DOI： 10.1007/s13139-017-0500-y

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


  150 in total

1.  Heterogeneity index evaluated by slope of linear regression on 18F-FDG PET/CT as a prognostic marker for predicting tumor recurrence in pancreatic ductal adenocarcinoma.

Authors:  Yong-Il Kim; Yong Joong Kim; Jin Chul Paeng; Gi Jeong Cheon; Dong Soo Lee; June-Key Chung; Keon Wook Kang
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-06-20       Impact factor: 9.236

2.  Intratumoral heterogeneity of F-18 FDG uptake differentiates between gastrointestinal stromal tumors and abdominal malignant lymphomas on PET/CT.

Authors:  Tadashi Watabe; Mitsuaki Tatsumi; Hiroshi Watabe; Kayako Isohashi; Hiroki Kato; Masahiro Yanagawa; Eku Shimosegawa; Jun Hatazawa
Journal:  Ann Nucl Med       Date:  2011-12-21       Impact factor: 2.668

3.  Clinicopathological characteristics including BRAF V600E mutation status and PET/CT findings in papillary thyroid carcinoma.

Authors:  Eun Kyoung Choi; Ari Chong; Jung-Min Ha; Chan Kwon Jung; Joo Hyun O; Sung Hoon Kim
Journal:  Clin Endocrinol (Oxf)       Date:  2017-04-18       Impact factor: 3.478

4.  Staging of cervical cancer based on tumor heterogeneity characterized by texture features on (18)F-FDG PET images.

Authors:  Wei Mu; Zhe Chen; Ying Liang; Wei Shen; Feng Yang; Ruwei Dai; Ning Wu; Jie Tian
Journal:  Phys Med Biol       Date:  2015-06-17       Impact factor: 3.609

5.  FDG PET/CT imaging in primary osseous and soft tissue sarcomas: a retrospective review of 212 cases.

Authors:  Mathieu Charest; Marc Hickeson; Robert Lisbona; Javier-A Novales-Diaz; Vilma Derbekyan; Robert E Turcotte
Journal:  Eur J Nucl Med Mol Imaging       Date:  2009-12       Impact factor: 9.236

6.  Metabolic response evaluated by 18F-FDG PET/CT as a potential screening tool in identifying a subgroup of patients with advanced non-small cell lung cancer for immediate maintenance therapy after first-line chemotherapy.

Authors:  Seung Hwan Moon; Su-Hee Cho; Lee Chun Park; Jun Ho Ji; Jong-Mu Sun; Jin Sock Ahn; Keunchil Park; Joon Young Choi; Myung-Ju Ahn
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-04-18       Impact factor: 9.236

7.  Intratumoral heterogeneity of 18F-FLT uptake predicts proliferation and survival in patients with newly diagnosed gliomas.

Authors:  Katsuya Mitamura; Yuka Yamamoto; Nobuyuki Kudomi; Yukito Maeda; Takashi Norikane; Keisuke Miyake; Yoshihiro Nishiyama
Journal:  Ann Nucl Med       Date:  2016-09-29       Impact factor: 2.668

8.  Heterogeneity of Glucose Metabolism in Esophageal Cancer Measured by Fractal Analysis of Fluorodeoxyglucose Positron Emission Tomography Image: Correlation between Metabolic Heterogeneity and Survival.

Authors:  Toru Tochigi; Kiyohiko Shuto; Tsuguaki Kono; Gaku Ohira; Takayuki Tohma; Hisashi Gunji; Koichi Hayano; Kazuo Narushima; Takeshi Fujishiro; Toshiharu Hanaoka; Yasunori Akutsu; Shinichi Okazumi; Hisahiro Matsubara
Journal:  Dig Surg       Date:  2016-12-09       Impact factor: 2.588

9.  Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012.

Authors:  Jacques Ferlay; Isabelle Soerjomataram; Rajesh Dikshit; Sultan Eser; Colin Mathers; Marise Rebelo; Donald Maxwell Parkin; David Forman; Freddie Bray
Journal:  Int J Cancer       Date:  2014-10-09       Impact factor: 7.396

10.  18FDG-PET/CT for predicting the outcome in ER+/HER2- breast cancer patients: comparison of clinicopathological parameters and PET image-derived indices including tumor texture analysis.

Authors:  David Groheux; Antoine Martineau; Luis Teixeira; Marc Espié; Patricia de Cremoux; Philippe Bertheau; Pascal Merlet; Charles Lemarignier
Journal:  Breast Cancer Res       Date:  2017-01-05       Impact factor: 6.466
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  25 in total

1.  Imager-4D: New Software for Viewing Dynamic PET Scans and Extracting Radiomic Parameters from PET Data.

Authors:  Steven P Rowe; Lilja B Solnes; Yafu Yin; Grant Kitchen; Martin A Lodge; Nicolas A Karakatsanis; Arman Rahmim; Martin G Pomper; Jeffrey P Leal
Journal:  J Digit Imaging       Date:  2019-12       Impact factor: 4.056

2.  Standardized uptake value (SUVmax) in 18F-FDG PET/CT is correlated with the total number of main oncogenic anomalies in cancer patients.

Authors:  Amin Haghighat Jahromi; Geraldine Chang; Razelle Kurzrock; Carl K Hoh
Journal:  Cancer Biol Ther       Date:  2020-11-01       Impact factor: 4.742

Review 3.  Role of Radiomics-Based Baseline PET/CT Imaging in Lymphoma: Diagnosis, Prognosis, and Response Assessment.

Authors:  Han Jiang; Ang Li; Zhongyou Ji; Mei Tian; Hong Zhang
Journal:  Mol Imaging Biol       Date:  2022-01-14       Impact factor: 3.484

4.  Effects of Tracer Uptake Time in Non-Small Cell Lung Cancer 18F-FDG PET Radiomics.

Authors:  Guilherme D Kolinger; David Vállez García; Gerbrand Maria Kramer; Virginie Frings; Gerben J C Zwezerijnen; Egbert F Smit; Adrianus Johannes de Langen; Irène Buvat; Ronald Boellaard
Journal:  J Nucl Med       Date:  2021-12-21       Impact factor: 11.082

5.  Heterogeneous parameters based on 18F-FET PET imaging can non-invasively predict tumor grade and isocitrate dehydrogenase gene 1 mutation in untreated gliomas.

Authors:  Tao Hua; Weiyan Zhou; Zhirui Zhou; Yihui Guan; Ming Li
Journal:  Quant Imaging Med Surg       Date:  2021-01

Review 6.  Identification of Tumor-Specific MRI Biomarkers Using Machine Learning (ML).

Authors:  Rima Hajjo; Dima A Sabbah; Sanaa K Bardaweel; Alexander Tropsha
Journal:  Diagnostics (Basel)       Date:  2021-04-21

7.  Current progress and quality of radiomic studies for predicting EGFR mutation in patients with non-small cell lung cancer using PET/CT images: a systematic review.

Authors:  Meilinuer Abdurixiti; Mayila Nijiati; Rongfang Shen; Qiu Ya; Naibijiang Abuduxiku; Mayidili Nijiati
Journal:  Br J Radiol       Date:  2021-05-12       Impact factor: 3.629

8.  Differentiation of soft tissue and bone sarcomas from benign lesions utilizing 18F-FDG PET/CT-derived parameters.

Authors:  Bo Chen; Hongbo Feng; Jinghui Xie; Chun Li; Yu Zhang; Shaowu Wang
Journal:  BMC Med Imaging       Date:  2020-07-25       Impact factor: 1.930

Review 9.  Value of PET imaging for radiation therapy.

Authors:  Constantin Lapa; Ursula Nestle; Nathalie L Albert; Christian Baues; Ambros Beer; Andreas Buck; Volker Budach; Rebecca Bütof; Stephanie E Combs; Thorsten Derlin; Matthias Eiber; Wolfgang P Fendler; Christian Furth; Cihan Gani; Eleni Gkika; Anca-L Grosu; Christoph Henkenberens; Harun Ilhan; Steffen Löck; Simone Marnitz-Schulze; Matthias Miederer; Michael Mix; Nils H Nicolay; Maximilian Niyazi; Christoph Pöttgen; Claus M Rödel; Imke Schatka; Sarah M Schwarzenboeck; Andrei S Todica; Wolfgang Weber; Simone Wegen; Thomas Wiegel; Constantinos Zamboglou; Daniel Zips; Klaus Zöphel; Sebastian Zschaeck; Daniela Thorwarth; Esther G C Troost
Journal:  Strahlenther Onkol       Date:  2021-07-14       Impact factor: 3.621

Review 10.  Applications of artificial intelligence in oncologic 18F-FDG PET/CT imaging: a systematic review.

Authors:  Mohammad S Sadaghiani; Steven P Rowe; Sara Sheikhbahaei
Journal:  Ann Transl Med       Date:  2021-05
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