Skip to main content

Main menu

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

Metabolic PET/CT guided lung lesion biopsies - Impact on diagnostic accuracy and rate of sampling error

Zohar Keidar, Radu Rozenberg, Ora Israel, Alex Frenkel and Ludmila Guralnik
Journal of Nuclear Medicine May 2014, 55 (supplement 1) 515;
Zohar Keidar
1Rambam Health Care Campus, Haifa, Israel
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Radu Rozenberg
1Rambam Health Care Campus, Haifa, Israel
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ora Israel
1Rambam Health Care Campus, Haifa, Israel
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Alex Frenkel
1Rambam Health Care Campus, Haifa, Israel
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Ludmila Guralnik
1Rambam Health Care Campus, Haifa, Israel
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Info & Metrics
Loading

Abstract

515

Objectives Accuracy of CT-guided fine needle aspiration (FNA) is subject to sampling errors. Current study assesses whether FDG-PET/CT can improve the accuracy and decrease the false negative (FN) rate of CT-guided FNA of lung lesions.

Methods Data of 311 consecutive patients with lung nodules who underwent FDG-PET/CT and CT-guided FNA within a month were retrospectively investigated. A dedicated software was developed in-house to register corresponding CT images of the PET/CT with those used to guide FNA (CT-FNA). The quality of registration was rated on a scale of 1(excellent) to 5 (mis-registration). Only cases scored 1-2 were further evaluated. The software also provided the Standard Uptake Value (SUV) at the location of the tip of the aspirating needle and in the whole lung lesion, as well as the distance (mm) between the needle tip and the area with the highest SUV within the lesion. The mean distance from the needle tip to highest SUV focus and the mean difference in SUVmax between the whole lesion and that at the needle tip were calculated and compared between true positive (TP) and FN FNA results using the unpaired t-test.

Results 267 patients (86%) with high registration score were evaluated, including 185 TP (69%) and 39 FN (15 %) FNA results. The distance between the location of the needle tip and the SUVmax point in the lesion was significantly greater in the FN group (18.35 ± 27.4mm) as compared to the TP group (7 ± 14.3, p<0.001). The difference between the SUV at the location of the tip and that of the whole lesion was significantly higher in the FN group (6.7 ± 15.6) as compared to the TP group (2.0 ± 4.1, p<0.001).

Conclusions Present results demonstrate a relationship between the degree of metabolism at the site of tissue sampling and the accuracy of FNA results. FDG-PET/CT guided FNA using metabolic information provided by FDG-PET in addition to CT can improve the accuracy of histological examinations, decrease the FN rate and thus increase the probability of achieving a definitive diagnosis.

Previous
Back to top

In this issue

Journal of Nuclear Medicine
Vol. 55, Issue supplement 1
May 2014
  • 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.
Metabolic PET/CT guided lung lesion biopsies - Impact on diagnostic accuracy and rate of sampling error
(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
Metabolic PET/CT guided lung lesion biopsies - Impact on diagnostic accuracy and rate of sampling error
Zohar Keidar, Radu Rozenberg, Ora Israel, Alex Frenkel, Ludmila Guralnik
Journal of Nuclear Medicine May 2014, 55 (supplement 1) 515;

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Metabolic PET/CT guided lung lesion biopsies - Impact on diagnostic accuracy and rate of sampling error
Zohar Keidar, Radu Rozenberg, Ora Israel, Alex Frenkel, Ludmila Guralnik
Journal of Nuclear Medicine May 2014, 55 (supplement 1) 515;
Twitter logo Facebook logo LinkedIn logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One
Bookmark this article

Jump to section

  • Article
  • 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 Diagnosis

  • Time of Flight compared to standard iterative acquisition and reconstruction for assessment of pulmonary nodules.
  • Is childhood obesity linked to lymphoma?
  • Imaging characteristics of 18F-FDG PET/CT in patients with newly diagnosed angio-immunoblastic T cell lymphoma
Show more Oncology: Clinical Diagnosis

Lung Cancer II

  • 18F-RGD PET/CT imaging reveals the differences in lung cancer
  • Use of PET derived features to predict mutational status in lung adenocarcinomas
  • SUV-derived Parameters Assessed on F-18-FDG PET/CT Predict EGFR Mutation in Lung Adenocarcinoma Patients: the Construction of CART Predictive Model
Show more Lung Cancer II

Similar Articles

SNMMI

© 2025 SNMMI

Powered by HighWire