Evidence map›Paper›PMID 25973337›Full record

ArticleAmerican journal of nuclear medicine and molecular imaging2015

Differentiation of metastatic vs degenerative joint disease using semi-quantitative analysis with (18)F-NaF PET/CT in castrate resistant prostate cancer patients.

Saima Muzahir, Robert Jeraj, Glenn Liu, Lance T Hall, Alejandro Munoz Del Rio, Timothy Perk, Christine Jaskowiak, Scott B Perlman

Abstract read
In one paragraph

Article in American journal of nuclear medicine and molecular imaging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Trial
  2. Quantitative Assessment of Early [Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2017
    Trial
  3. Repeatability of Quantitative 18F-NaF PET: A Multicenter Study.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2016
    Trial
  4. Article
  5. Frontiers in oncology · 2021
    Article
  6. Article
  7. Article
  8. The use of PET/CT in prostate cancer.Prostate cancer and prostatic diseases · 2018
    Review
  9. Review
  10. Therapy assessment of bone metastatic disease in the era ofEuropean journal of nuclear medicine and molecular imaging · 2017
    Review
  11. Quantitative analysis ofAmerican journal of nuclear medicine and molecular imaging · 2017
    Article
  12. Article
  13. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Saima MuzahirDepartment of Radiology, Division of Nuclear Medicine, University of Wisconsin Madison Madison, WI, USA.
Robert JerajDepartment of Medical Physics, University of Wisconsin Madison Madison, WI, USA.
Glenn LiuUniversity of Wisconsin Carbone Cancer Center Wisconsin, Madison, Madison, WI, USA.
Lance T HallDepartment of Radiology, Division of Nuclear Medicine, University of Wisconsin Madison Madison, WI, USA.
Alejandro Munoz Del RioDepartment of Radiology, Division of Nuclear Medicine, University of Wisconsin Madison Madison, WI, USA.
Timothy PerkDepartment of Medical Physics, University of Wisconsin Madison Madison, WI, USA.
Christine JaskowiakDepartment of Radiology, Division of Nuclear Medicine, University of Wisconsin Madison Madison, WI, USA.
Scott B PerlmanDepartment of Radiology, Division of Nuclear Medicine, University of Wisconsin Madison Madison, WI, USA.

Funding

UW COMPREHENSIVE CANCER CENTER SUPPORTP30CA014520 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Nihal Ahmad · 1985 to 2026
$142.6M
NCI NIH HHS P30 CA014520
6 · The paper itself

Abstract

Fluorine 18 Sodium Fluoride ((18)F-NaF) (sodium fluoride) PET/CT is a highly sensitive but is a non-specific method for identifying bone metastases. Qualitative scan interpretation using low dose CT for lesion localization is often complicated by the presence of co-existing degenerative joint disease (DJD). A semi-quantitative analysis might help in accurately differentiating benign from metastatic osseous lesions. The aim of the study was to evaluate the clinical utility of (18)F-NaF PET/CT in differentiating DJD from metastatic disease in the skeleton using a qualitative analysis as well as a semi-quantitative approach using the SUVmax and to determine if there is an upper limit of SUVmax value that can reliably differentiate metastases from DJD. Baseline (18)F-NaF PET/CT scans were performed for 17 castrate resistant prostate cancer patients (CRPC). A qualitative as well as semi-quantitative analysis using maximum standardized uptake value (SUVmax) based on body weight was performed for 65 metastatic and 56 DJD sites identified on the low dose CT scan acquired as a part of whole body PET/CT scan. The SUVmax range in DJD was 2.6-49.9 (mean: 6.2). The SUVmax range for metastatic lesions was 11.2-188 (mean: 160). The SUVmax value for metastatic as well as areas of DJD showed significant variation during treatment. Bone metastases showed statistically significantly higher SUVmax than DJD using a mixed effect regression model. ROC/AUC analysis was performed based on averaging the SUVs over all lesions in each subject. The AUC was found to be fairly high at 0.964 (95% CI: 0.75-0.996). The SUVmax over 50 always represented a bone metastasis and below 12 always represented a site of DJD. The results of our preliminary data show that semi-quantitative analysis is complementary to the qualitative analysis in accurately identifying DJD from metastatic disease. The cut-off SUVmax of 50 can help in differentiating DJD from bone metastases.

Indexed as

bone metastasescastrate resistant prostate cancerdegenerative joint diseaseF-18 NaFPET/CT

Identifiers

PMID25973337
PMCPMC4396008

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.