Skip to main content

Main menu

  • Home
  • Content
    • Current
    • Ahead of print
    • Past Issues
    • JNM Supplement
    • SNMMI Annual Meeting Abstracts
  • Subscriptions
    • Subscribers
    • Rates
    • Journal Claims
    • Institutional and Non-member
  • Authors
    • Submit to JNM
    • Information for Authors
    • Assignment of Copyright
    • AQARA requirements
  • Info
    • Permissions
    • Advertisers
    • Continuing Education
    • Corporate & Special Sales
  • About
    • About Us
    • Editorial Board
    • Editorial Contact
  • More
    • Alerts
    • Feedback
    • Help
    • SNMMI Journals
  • SNMMI
    • JNM
    • JNMT
    • SNMMI Journals
    • SNMMI

User menu

  • Subscribe
  • My alerts
  • Log in
  • My Cart

Search

  • Advanced search
Journal of Nuclear Medicine
  • SNMMI
    • JNM
    • JNMT
    • SNMMI Journals
    • SNMMI
  • Subscribe
  • My alerts
  • Log in
  • My Cart
Journal of Nuclear Medicine

Advanced Search

  • Home
  • Content
    • Current
    • Ahead of print
    • Past Issues
    • JNM Supplement
    • SNMMI Annual Meeting Abstracts
  • Subscriptions
    • Subscribers
    • Rates
    • Journal Claims
    • Institutional and Non-member
  • Authors
    • Submit to JNM
    • Information for Authors
    • Assignment of Copyright
    • AQARA requirements
  • Info
    • Permissions
    • Advertisers
    • Continuing Education
    • Corporate & Special Sales
  • About
    • About Us
    • Editorial Board
    • Editorial Contact
  • More
    • Alerts
    • Feedback
    • Help
    • SNMMI Journals
  • Follow SNMMI on Twitter
  • Visit SNMMI on Facebook
Meeting ReportOncology: Clinical Therapy and Diagnosis

Prognostic value of tumor metabolic imaging phenotype using FDG PET radiomics in HNSCC

Hyukjin Yoon, Seunggyun Ha, Soo Jin Kwon, Sonya Park, Jihyun Kim, Joo Hyun O and Ie Ryung Yoo
Journal of Nuclear Medicine May 2020, 61 (supplement 1) 1297;
Hyukjin Yoon
1Division of Nuclear Medicine, Department of Radiology Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea Seoul Korea, Republic of
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Seunggyun Ha
1Division of Nuclear Medicine, Department of Radiology Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea Seoul Korea, Republic of
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Soo Jin Kwon
1Division of Nuclear Medicine, Department of Radiology Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea Seoul Korea, Republic of
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Sonya Park
1Division of Nuclear Medicine, Department of Radiology Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea Seoul Korea, Republic of
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jihyun Kim
1Division of Nuclear Medicine, Department of Radiology Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea Seoul Korea, Republic of
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Joo Hyun O
1Division of Nuclear Medicine, Department of Radiology Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea Seoul Korea, Republic of
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ie Ryung Yoo
1Division of Nuclear Medicine, Department of Radiology Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea Seoul Korea, Republic of
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
Loading

Abstract

1297

Purpose: Tumor metabolic phenotype can be assessed with integrated image pattern analysis of FDG PET/CT, called radiomics. This study was performed to assess the prognostic value of radiomic PET parameters in head and neck squamous cell carcinoma (HNSCC) patients.

Methods: PET/CT data of 215 patients from HNSCC collection free database in The Cancer Imaging Archive (TCIA) were reviewed. Seventy PET/CT exams for baseline evaluation with same spatial resolution and assessable primary tumor were included. Primary tumors were segmented by adjusted fixed thresholding method. Segmental tumors in PET images were preprocessed using relative resampling of 64 bins. Forty seven PET parameters including conventional parameters and texture parameters were measured. Binary groups of homogeneous imaging phenotypes, clustered by K-means method, were compared for overall survival (OS) and disease free survival (DFS) by log rank test. Individual radiomics features were tested by cox-regression test for OS and DFS, and the most significant feature was tested in multivariate analysis with clinical factors including age, and T, N stages. Two-sided p-values less than 0.05 was regarded as statistically significant.

Results: Median follow up period was 62.1 months. Binary groups with different imaging phenotypes showed significant difference in OS (p=0.036), and borderline difference in DFS (p=0.086). Grey-Level Zone Length Matrix, Gray-Level Non-Uniformity (GLZLM_GLNU) was the most significant prognostic factor for both OS (HR: 0.32, p=0.008) and DFS (hazard ratio [HR] 0.22, p=0.020). Multivariate analysis revealed GLZLM_GLNU as an independent prognostic factor for OS (HR 0.24, p=0.0.008).

Conclusions: PET radiomics based metabolic imaging phenotype can be biomarker for survival prognosis in HNSCC patients, and may assist clinicians for patient risk assessment.

Figure1
  • Download figure
  • Open in new tab
  • Download powerpoint
Previous
Back to top

In this issue

Journal of Nuclear Medicine
Vol. 61, Issue supplement 1
May 1, 2020
  • Table of Contents
  • Index by author
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for your interest in spreading the word on Journal of Nuclear Medicine.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Prognostic value of tumor metabolic imaging phenotype using FDG PET radiomics in HNSCC
(Your Name) has sent you a message from Journal of Nuclear Medicine
(Your Name) thought you would like to see the Journal of Nuclear Medicine web site.
Citation Tools
Prognostic value of tumor metabolic imaging phenotype using FDG PET radiomics in HNSCC
Hyukjin Yoon, Seunggyun Ha, Soo Jin Kwon, Sonya Park, Jihyun Kim, Joo Hyun O, Ie Ryung Yoo
Journal of Nuclear Medicine May 2020, 61 (supplement 1) 1297;

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Prognostic value of tumor metabolic imaging phenotype using FDG PET radiomics in HNSCC
Hyukjin Yoon, Seunggyun Ha, Soo Jin Kwon, Sonya Park, Jihyun Kim, Joo Hyun O, Ie Ryung Yoo
Journal of Nuclear Medicine May 2020, 61 (supplement 1) 1297;
del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
  • Figures & Data
  • Info & Metrics

Related Articles

  • No related articles found.
  • Google Scholar

Cited By...

  • No citing articles found.
  • Google Scholar

More in this TOC Section

Oncology: Clinical Therapy and Diagnosis

  • Added value of single photon emission computed tomography (SPECT) / Computed Tomography (CT) with radioiodine whole body scan in follow up of patients with differentiated thyroid cancer
  • Sequential occurrence of paraganglioma in abdomen, neck and head demonstrated by serial Ga68-DOTANOC PET-CT
  • The value of 18F-FDG PET / MR in skull-base bone invasion of nasopharyngeal carcinoma
Show more Oncology: Clinical Therapy and Diagnosis

Head and Neck (Poster Session)

  • Thyroglobulin measurement in fine-needle aspiration optimize lateral neck dissection in patients with papillary thyroid cancer
  • Sequential occurrence of paraganglioma in abdomen, neck and head demonstrated by serial Ga68-DOTANOC PET-CT
  • Complementary role and spatial relationship of 18F-FAZA PET/CT, perfusion and diffusion brain MRI for hypoxia characterization in high-grade glioma
Show more Head and Neck (Poster Session)

Similar Articles

SNMMI

© 2021 Journal of Nuclear Medicine

Powered by HighWire