Skip to main content
Advertisement

Main menu

  • Home
  • Content
    • Current Issue
    • Publication Preview--Ahead of Print
    • Past Issue Archive
    • Case of the Week Archive
    • Classic Case Archive
    • Case of the Month Archive
    • COVID-19 Content and Resources
  • For Authors
    • Author Policies
    • Manuscript Submission Guidelines
  • About Us
    • About AJNR
    • American Society of Neuroradiology
  • Submit a Manuscript
  • Podcasts
    • Podcasts
    • Subscribe on iTunes
  • More
    • Subscribers
    • Permissions
    • Advertisers
    • Alerts
    • Feedback

User menu

  • Subscribe
  • Alerts
  • Log in

Search

  • Advanced search
American Journal of Neuroradiology
American Journal of Neuroradiology

American Journal of Neuroradiology

  • Subscribe
  • Alerts
  • Log in

Advanced Search

  • Home
  • Content
    • Current Issue
    • Publication Preview--Ahead of Print
    • Past Issue Archive
    • Case of the Week Archive
    • Classic Case Archive
    • Case of the Month Archive
    • COVID-19 Content and Resources
  • For Authors
    • Author Policies
    • Manuscript Submission Guidelines
  • About Us
    • About AJNR
    • American Society of Neuroradiology
  • Submit a Manuscript
  • Podcasts
    • Podcasts
    • Subscribe on iTunes
  • More
    • Subscribers
    • Permissions
    • Advertisers
    • Alerts
    • Feedback
  • Follow AJNR on Twitter
  • Visit AJNR on Facebook
  • Follow AJNR on Instagram
  • Join AJNR on LinkedIn
  • RSS Feeds
Research ArticleSpine
Open Access

[18F]-Sodium Fluoride PET MR–Based Localization and Quantification of Bone Turnover as a Biomarker for Facet Joint–Induced Disability

N.W. Jenkins, J.F. Talbott, V. Shah, P. Pandit, Y. Seo, W.P. Dillon and S. Majumdar
American Journal of Neuroradiology October 2017, 38 (10) 2028-2031; DOI: https://doi.org/10.3174/ajnr.A5348
N.W. Jenkins
aFrom the Department of Radiology and Biomedical Imaging (N.W.J., J.F.T., V.S., P.P., Y.S., W.P.D., S.M.), University of California, San Francisco, San Francisco, California
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for N.W. Jenkins
J.F. Talbott
aFrom the Department of Radiology and Biomedical Imaging (N.W.J., J.F.T., V.S., P.P., Y.S., W.P.D., S.M.), University of California, San Francisco, San Francisco, California
bDepartment of Radiology and Biomedical Imaging (J.F.T.), Zuckerberg San Francisco General Hospital, San Francisco, California.
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for J.F. Talbott
V. Shah
aFrom the Department of Radiology and Biomedical Imaging (N.W.J., J.F.T., V.S., P.P., Y.S., W.P.D., S.M.), University of California, San Francisco, San Francisco, California
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for V. Shah
P. Pandit
aFrom the Department of Radiology and Biomedical Imaging (N.W.J., J.F.T., V.S., P.P., Y.S., W.P.D., S.M.), University of California, San Francisco, San Francisco, California
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for P. Pandit
Y. Seo
aFrom the Department of Radiology and Biomedical Imaging (N.W.J., J.F.T., V.S., P.P., Y.S., W.P.D., S.M.), University of California, San Francisco, San Francisco, California
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Y. Seo
W.P. Dillon
aFrom the Department of Radiology and Biomedical Imaging (N.W.J., J.F.T., V.S., P.P., Y.S., W.P.D., S.M.), University of California, San Francisco, San Francisco, California
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for W.P. Dillon
S. Majumdar
aFrom the Department of Radiology and Biomedical Imaging (N.W.J., J.F.T., V.S., P.P., Y.S., W.P.D., S.M.), University of California, San Francisco, San Francisco, California
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for S. Majumdar
  • Article
  • Figures & Data
  • Supplemental
  • Info & Metrics
  • References
  • PDF
Loading

Abstract

SUMMARY: Our aim was to prospectively evaluate the relationship between low back pain–related disability and quantitative measures from [18F]-sodium fluoride ([18F]-NaF) MR imaging. Six patients with facetogenic low back pain underwent dynamic [18F]-NaF PET/MR imaging. PET metrics were correlated with clinical measures and MR imaging grading of lumbar facet arthropathy. A significant positive correlation was observed between maximum facet joint uptake rate and clinical disability (P < .05). These data suggest that dynamic [18F]-NaF PET may serve as a useful biomarker for facetogenic disability.

ABBREVIATIONS:

FJ
facet joint
IPAQ
International Physical Activity Questionnaire
max
maximum
min
minimum
mL/ccm/min
milliliters/cubic centimeter/minute
ODI
Oswestry Disability Index
SUV
standard uptake value

Clinical assessment for facetogenic low back pain is often hampered by overlapping and nonspecific symptoms and physical examination findings.1 Conventional imaging techniques limited to evaluation of structural changes in the spine may identify morphologic abnormalities in asymptomatic spinal structures that are indistinguishable from degenerative structural alterations that produce severe pain and disability.2 Objective and quantitative biomarkers that are more specific for active generators of low back pain would greatly aid in the effective, targeted treatment of patients with low back pain.

[18F]-sodium fluoride ([18F]-NaF) is a positron-emission tomography radiotracer, which is chemically absorbed into hydroxyapatite in the bone matrix by osteoblasts and can noninvasively detect osteoblastic activity. [18F]-NaF has been increasingly used for evaluating bone diseases, particularly for identification of bone metastases and primary tumors.3⇓–5 The utility of [18F]-NaF PET for evaluating degenerative disease of the lumbar spine remains largely unexplored.6

The goal of this prospective pilot study was to examine the potential correlation between facetogenic low back pain measures of disability with quantitative and semiquantitative [18F]-NaF PET/MR imaging measures of bone turnover and structural MR imaging changes in lumbar facet joints.

Materials and Methods

Patient Population

This prospective feasibility study recruited patients after obtaining human study institutional review board approval and complying with Health Insurance Portability and Accountability Act regulations. Patients served as internal controls with diseased and healthy subregions. Patients with a history of suspected lower lumbar facetogenic syndrome were recruited from UCSF Radiology Spine Clinic. Written informed consent was acquired before entry into the study. The study began in November 2014 and concluded in August 2015.

Inclusion and Exclusion Criteria

Inclusion criteria were as follows: 1) at least 18 years of age with the capacity for informed consent, 2) a reported history of axial nonradicular low back pain, and 3) recommended by the spine interventional radiologists. Exclusion criteria were as follows: 1) a history of fracture or tumor of the spine, including osteoblastic metastases, 2) women who were pregnant or breastfeeding, 3) contraindications to MR imaging or administration of tracer or contrast, and 4) prior lumbar surgery or instrumentation.

Immediately before PET/MR imaging, subjects completed questionnaires measuring pain (numeric rating scale, from 0 to 10 with 0 equal to no pain and 10, the most severe intensity of pain), quality of life (Oswestry Disability Index Low Back Pain Disability Questionnaire [ODI]), and activity (International Physical Activity Questionnaire [IPAQ]).7,8

PET/MR Protocol and Image Review

A 3T Signa PET/MR imaging scanner (GE Healthcare, Milwaukee, Wisconsin) was used for a simultaneous PET and MR image acquisition. Dynamic PET was initiated as 0.08 mCi/Kg of [18F]-NaF (mean dose, 4.6 ± 0.8 mCi) injected intravenously.

Acquisition Parameters

Clinical MR imaging sequences included the following: sagittal T1 (TR/TE = 510/8.6 ms), sagittal T2 fat-saturated (TR/TE = 4208/86.2 ms), axial T2 fast recovery fast spin-echo with and without fat saturation (TR/TE = 750/9.2 ms), axial T1 fast spin-echo (TR/TE = 575/8.9 ms), and axial T1 fast spin-echo postgadolinium (TR/TE = 562/8.6 ms) imaging. The MR imaging attenuation correction for the lumbar spine region was calculated with the accepted standard 2-point Dixon method.9 Sixty minutes of dynamic PET data were acquired across 3 temporal phases (phase 1 = 12 frames of 10 seconds each, phase 2 = 4 frames of 30 seconds each, phase 3 = 14 frames of 4 minutes each). PET reconstruction included postprocessing to correct for decay, attenuation, scatter, and dead time.

MR Imaging Facet Joint Grading

Two board-certified neuroradiologists with 3 (J.F.T.) and >30 (W.P.D.) years' postfellowship experience were blinded to the clinical data and interpreted clinical MR imaging sequences on a reprocessing workstation. Facet synovitis was graded as previously described by Czervionke and Fenton (On-line Fig 1).10

Data Analysis

Quantitative and semiquantitative PET analysis included all facet joints from the L1–L2 to L5–S1 levels. Volumes of interest were selected using anatomic T2 MR images. A spheric VOI (7.5-mm diameter) was constructed around the center of each facet joint. A 5-mm-diameter VOI was placed in the right iliac crest in the central marrow cavity as a reference region. All PET analysis was performed with PMOD licensed software (PMOD Technologies, Zurich, Switzerland). This software facilitates model-based analysis of dynamic PET data. PMOD allows only validated kinetic models that have been extensively studied, and the output of the results is highly reproducible.

Standard Uptake Value Calculations and Kinetic Data

Placement of facet joint (FJ) VOIs is shown in On-line Fig 2A. A cylindric VOI covering 2 axial sections was placed on the abdominal aorta, and the partial volume correction coefficient was calculated. Maximum standard uptake value (SUVmax) and SUVmean values (Equation 1) for each subsite were calculated using the 60-minute time point.

The 3-compartment model used for kinetic modeling is shown in On-line Fig 2B. In Equation 2, Ci represents the bone tissue activity concentration and is the sum of Ce (extravascular compartment) and Ct (target tissue bound compartment); Cp is the concentration of tracer in the blood; V is the effective distribution volume of the tracer.11 A 3-compartment irreversible linear model was used for the Patlak linear model.11 The 2-tissue irreversible compartment model was used to calculate the region-specific influx rate constants (in minute−1) for [18F]-NaF.12 Uptake was normalized by using the iliac crest as the reference region. The tracer influx rate from the blood pool to the bone matrix was calculated with Equation 2 for Ki_Patlak. Ki_Patlak represents the rate at which [18F]-NaF leaves the arterial blood pool and irreversibly binds to a subsite bone matrix. The kinetic analysis was performed by using PMOD. For each subject, FJs with maximum uptake were identified, henceforth referred to as FJmax. Embedded Image

Equation 2 is the Patlak graphical kinetic model: Embedded Image

Statistical Analyses

The statistical significance of the correlations between PET/MR imaging and clinical disability metrics was tested with the Pearson correlation. A 2-samples t test was used (P < .05) to assess the significance of differences in the Ki_Patlak influx rate between the mean FJmax and mean FJminimum (min) Ki_Patlak and among FJ MR imaging grades.

Results

Patient Profile

Patient demographic and clinical disability scores are summarized in the Table.

View this table:
  • View inline
  • View popup

Profile of patients with facetogenic low back pain

[18F]-NaF Uptake Measurements and MR Imaging Grading

Uptake values were measured in bilateral facet joints across 5 levels in all subjects for a total of 60 measurements. For all 60 sampled regions, the relationship between semiquantitative SUVmax and Ki_Patlak produced a linear correlation (r = 0.58, P < .001; On-line Fig 3A). A similar statistically significant linear correlation was observed between Ki_Patlak and SUVmean (r = 0.7, P < .001; On-line Fig 3B).

For each patient, the single facet joint with the highest Ki_Patlak (FJmax Ki_Patlak) was identified. When FJmax Ki_Patlak was plotted against the ODI score, a strong, statistically significant positive correlation was observed (r = 0.96, P = .0013; Fig 1).

Fig 1.
  • Download figure
  • Open in new tab
  • Download powerpoint
Fig 1.

Maximum Ki_Patlak significantly correlates with clinical disability as measured by the Oswestry Disability Index. Facet joints with maximum Ki_Patlak (FJmax Ki_Patlak) plotted against the corresponding patient ODI scores reveal a strong, statistically significant linear correlation (r = 0.96, P = .0013).

The FJ SUVmax and SUVmean for each subject (n = 6) were plotted against the ODI score, and no significant correlations were observed (r = −0.55, P = .35, and r = −0.47, P = .35). The correlation between the maximum MR imaging grade and ODI (n = 6) was not significant (r = 0.38, P = .44). FJmax Ki_Patlak plotted against corresponding patient maximum pain scores showed no correlation (r = 0.06, P = .91). FJmax Ki_Patlak plotted against corresponding patient IPAQ categoric scores showed no correlation (r = 0.15, P = .77).

A weak-to-moderate, but statistically significant, correlation was observed between the MR imaging grade of facet arthropathy and Ki_Patlak (r = 0.37, P = .03; Fig 2A). The average uptake rate as measured by Ki_Patlak for FJmin (0.019 milliliter/cubic centimeter/min [mL/ccm/min]) and FJmax (0.032 mL/ccm/min) showed that FJmax was significantly higher with close to twice the uptake rate (P < .001).

Fig 2.
  • Download figure
  • Open in new tab
  • Download powerpoint
Fig 2.

[18F]-NaF PET uptake and MR imaging arthropathy grade are weakly correlated. A, [18F]-NaF uptake (Ki_Patlak) plotted against the facet arthropathy grade on MR imaging shows a weak-to-moderate but statistically significant (r = 0.37, P = .03) correlation. B, Sample PET/MR imaging–fused axial image at the L3–L4 level in a 61-year-old man with suspected facetogenic pain shows differential FJ uptake with noticeably higher uptake on the left. On MR imaging, both facets were grade 2 facet synovitis.

Discussion

In this prospective pilot study of patients with suspected facetogenic low back pain, we show a strong positive linear correlation between a kinetic measure of dynamic NaF uptake by the FJ with maximum uptake (FJmax Ki_Patlak) and disability as measured with ODI. These data suggest that FJmax Ki_Patlak may be a useful metric for quantifying and localizing lumbar facetogenic–related disability. Thus, [18F]-NaF PET may aid in treatment planning and longitudinal monitoring of degenerative lumbar facet disease. With our small sample size of 6 subjects with relatively mild disability and the lack of a healthy control cohort, these data are preliminary. However, our observed strong correlation between [18F]-NaF uptake as measured with FJmax Ki_Patlak and clinical disability, even in this small cohort of patients with facet syndrome, is reassuring that FJmax Ki_Patlak may serve as a useful biomarker for facet joint–related disability. Further larger scale studies are warranted to validate these preliminary data, and a cost-benefit analysis will need to be performed. Most important, our average measurement for FJmax Ki_Patlak across all subjects (0.32 ± 0.003, n = 6) is like that of Brenner et al13 in areas of high bone turnover, including bone grafts, supporting the validity of our quantitative PET measurements.

Neither SUVmax nor SUVmean showed a statistically significant correlation with the ODI score or any other clinical measure of low back pain and disability. While larger studies are needed to confirm this result, the primary finding of this study is that the kinetic variable Ki_Patlak may be useful for evaluating facetogenic pathology by providing a quantitative value that more accurately reflects the dynamic process of bone turnover and osteoblastic activity. SUV values assume that radiotracer is evenly distributed throughout the entire body and base the measurement off a lean body mass coefficient. Ki_Patlak measures specific concentrations of radiotracer reaching the target via the arterial system during the scan. This added information may reveal subtle changes in the flow of the tracer to ROIs that would otherwise be missed.

It is also of interest that a weak, but statistically significant, correlation was observed between the MR imaging morphologic grade of facet arthropathy and quantitative PET measures or ODI. This finding is consistent with a previous study in which a similarly weak correlation was found between NaF-PET uptake and CT measures of facet arthropathy, further supporting the hypothesis that physiologic information afforded by NaF uptake may supplement conventional structural imaging for identifying symptomatic facet joints.6

As a pilot study, the small number of patients and relatively mild disability represent a primary limitation of this study. Despite this limitation, the observed strong and statistically significant correlation between FJmax Ki_Patlak and ODI in this small, inclusive cohort suggests that [18F]-NaF may serve as a robust biomarker for facet syndrome, and future larger studies are warranted to confirm these data. Also, we provide only correlative evidence that FJmax Ki_Patlak and clinical disability are related. Future studies involving targeted facet joint injections based on dynamic PET/MR imaging data are planned and will be needed to validate the present results.

Conclusions

In the lumbar spine, [18F]-NaF uptake rates in facet joints as measured with Ki_Patlak strongly correlate with patient-reported ODI scores. These pilot data suggest that kinetic measurements of [18F]-NaF facet joint uptake may serve as sensitive, quantitative, and noninvasive biomarkers of facetogenic low back pain.

Acknowledgments

We would like to acknowledge the support by Vahid Ravanfar, Emily Verdin, and Stephanie Murphy.

Footnotes

  • Disclosures: Nathaniel W. Jenkins—RELATED: Grant: National Institutes of Health, Comments: National Institutes of Health P50AR060752*; Other: GE Healthcare, Comments: PET/MR imaging research support grant.* Jason F. Talbott—UNRELATED:Consultancy: StemCells Inc, Comments: member of data-monitoring committee; Expert Testimony: Tindall Bennett and Shoup, Comments: expert witness. Sharmila Majumdar—RELATED: Grant: GE Healthcare*; UNRELATED: Grants/Grants Pending: GE Healthcare.* *Money paid to the institution.

  • Research support was provided by National Institutes of Health P50AR060752 and GE Healthcare.

Indicates open access to non-subscribers at www.ajnr.org

References

  1. 1.↵
    1. Hart LG,
    2. Deyo RA,
    3. Cherkin DC
    . Physician office visits for low back pain: frequency, clinical evaluation, and treatment patterns from a U.S. national survey. Spine (Phila Pa 1976) 1995;20:11–19 pmid:7709270
    CrossRefPubMed
  2. 2.↵
    1. Brinjikji W,
    2. Luetmer PH,
    3. Comstock B, et al
    . Systematic literature review of imaging features of spinal degeneration in asymptomatic populations. AJNR Am J Neuroradiol 2015;36:811–16 doi:10.3174/ajnr.A4173 pmid:25430861
    Abstract/FREE Full Text
  3. 3.↵
    1. Spick C,
    2. Polanec SH,
    3. Mitterhauser M, et al
    . Detection of bone metastases using 11C-acetate PET in patients with prostate cancer with biochemical recurrence. Anticancer Res 2015;35:6787–91 pmid:26637897
    Abstract/FREE Full Text
  4. 4.↵
    1. Brans B,
    2. Weijers R,
    3. Halders S, et al
    . Assessment of bone graft incorporation by 18 F-fluoride positron-emission tomography/computed tomography in patients with persisting symptoms after posterior lumbar interbody fusion. EJNMMI Res 2012;2:42 doi:10.1186/2191-219X-2-42 pmid:22846374
    CrossRefPubMed
  5. 5.↵
    1. Quon A,
    2. Dodd R,
    3. Iagaru A, et al
    . Initial investigation of 18F-NaF PET/CT for identification of vertebral sites amenable to surgical revision after spinal fusion surgery. Eur J Nucl Med Mol Imaging 2012;39:1737–44 doi:10.1007/s00259-012-2196-7 pmid:22895860
    CrossRefPubMed
  6. 6.↵
    1. Mabray MC,
    2. Brus-Ramer M,
    3. Behr SC, et al
    . (18)F-sodium fluoride PET-CT hybrid imaging of the lumbar facet joints: tracer uptake and degree of correlation to CT-graded arthropathy. World J Nucl Med 2016;15:85–90 doi:10.4103/1450-1147.174698 pmid:27134557
    CrossRefPubMed
  7. 7.↵
    1. Fairbank JC,
    2. Pynsent PB
    . The Oswestry Disability Index. Spine 2000;25:2940–52, discussion 2952 pmid:11074683
    CrossRefPubMed
  8. 8.↵
    1. Craig CL,
    2. Marshall AL,
    3. Sjöström M, et al
    . International Physical Activity Questionnaire: 12-country reliability and validity. Med Sci Sports Exerc 2003;35:1381–95 doi:10.1249/01.MSS.0000078924.61453.FB pmid:12900694
    CrossRefPubMed
  9. 9.↵
    1. Anazodo UC,
    2. Thiessen JD,
    3. Ssali T, et al
    . Feasibility of simultaneous whole-brain imaging on an integrated PET-MRI system using an enhanced 2-point Dixon attenuation correction method. Front Neurosci 2014;8:434 doi:10.3389/fnins.2014.00434 pmid:25601825
    CrossRefPubMed
  10. 10.↵
    1. Czervionke LF,
    2. Fenton DS
    . Fat-saturated MR imaging in the detection of inflammatory facet arthropathy (facet synovitis) in the lumbar spine. Pain Med 2008;9:400–06 doi:10.1111/j.1526-4637.2007.00313.x pmid:18489631
    CrossRefPubMed
  11. 11.↵
    1. Hawkins RA,
    2. Choi Y,
    3. Huang SC, et al
    . Evaluation of the skeletal kinetics of fluorine-18-fluoride ion with PET. J Nucl Med 1992;33:633–42 pmid:1569473
    Abstract/FREE Full Text
  12. 12.↵
    1. Phelps ME,
    2. Huang SC,
    3. Hoffman EJ, et al
    . Tomographic measurement of local cerebral glucose metabolic rate in humans with (F-18)2-fluoro-2-deoxy-D-glucose: validation of method. Ann Neurol 1979;6:371–88 doi:10.1002/ana.410060502 pmid:117743
    CrossRefPubMed
  13. 13.↵
    1. Brenner W,
    2. Vernon C,
    3. Muzi M, et al
    . Comparison of different quantitative approaches to 18F-fluoride PET scans. J Nucl Med 2004;45:1493–500 pmid:15347716
    Abstract/FREE Full Text
  • Received April 20, 2017.
  • Accepted after revision June 6, 2017.
  • © 2017 by American Journal of Neuroradiology
View Abstract
PreviousNext
Back to top

In this issue

American Journal of Neuroradiology: 38 (10)
American Journal of Neuroradiology
Vol. 38, Issue 10
1 Oct 2017
  • Table of Contents
  • Index by author
  • Complete Issue (PDF)
Advertisement
Print
Download PDF
Email Article

Thank you for your interest in spreading the word on American Journal of Neuroradiology.

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.
[18F]-Sodium Fluoride PET MR–Based Localization and Quantification of Bone Turnover as a Biomarker for Facet Joint–Induced Disability
(Your Name) has sent you a message from American Journal of Neuroradiology
(Your Name) thought you would like to see the American Journal of Neuroradiology web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Citation Tools
[18F]-Sodium Fluoride PET MR–Based Localization and Quantification of Bone Turnover as a Biomarker for Facet Joint–Induced Disability
N.W. Jenkins, J.F. Talbott, V. Shah, P. Pandit, Y. Seo, W.P. Dillon, S. Majumdar
American Journal of Neuroradiology Oct 2017, 38 (10) 2028-2031; DOI: 10.3174/ajnr.A5348

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
[18F]-Sodium Fluoride PET MR–Based Localization and Quantification of Bone Turnover as a Biomarker for Facet Joint–Induced Disability
N.W. Jenkins, J.F. Talbott, V. Shah, P. Pandit, Y. Seo, W.P. Dillon, S. Majumdar
American Journal of Neuroradiology Oct 2017, 38 (10) 2028-2031; DOI: 10.3174/ajnr.A5348
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
Purchase

Jump to section

  • Article
    • Abstract
    • ABBREVIATIONS:
    • Materials and Methods
    • Results
    • Discussion
    • Conclusions
    • Acknowledgments
    • Footnotes
    • References
  • Figures & Data
  • Supplemental
  • Info & Metrics
  • References
  • PDF

Related Articles

  • PubMed
  • Google Scholar

Cited By...

  • No citing articles found.
  • Crossref (10)
  • Google Scholar

This article has been cited by the following articles in journals that are participating in Crossref Cited-by Linking.

  • Novel Musculoskeletal and Orthopedic Applications of 18F-Sodium Fluoride PET
    William Y. Raynor, Austin J. Borja, Emily C. Hancin, Thomas J. Werner, Abass Alavi, Mona-Elisabeth Revheim
    PET Clinics 2021 16 2
  • Identifying Musculoskeletal Pain Generators Using Clinical PET
    Daehyun Yoon, Feliks Kogan, Garry E. Gold, Sandip Biswal
    Seminars in Musculoskeletal Radiology 2020 24 04
  • Input function and modeling for determining bone metabolic flux using [18F] sodium fluoride PET imaging: A step‐by‐step guide
    Tanuj Puri, Michelle L. Frost, Amelia E. B. Moore, Gary J. R. Cook, Glen M. Blake
    Medical Physics 2023 50 4
  • Use of Hybrid Imaging Techniques in Diagnosis of Facet Joint Arthropathy: A Narrative Review of Three Modalities
    Yagiz Ugur Yolcu, Vance T. Lehman, Atiq ur Rehman Bhatti, Anshit Goyal, Mohammed Ali Alvi, Mohamad Bydon
    World Neurosurgery 2020 134
  • [18F]-sodium fluoride PET/MR for painful lumbar facet joint degeneration – a randomized controlled clinical trial
    José Miguel Spirig, Martin Hüllner, Frédéric Cornaz, Michael Betz, Florian Wanivenhaus, Marlena Hofbauer, Anass Johayem, Philipp A. Kaufmann, Mazda Farshad
    The Spine Journal 2022 22 5
  • PET Imaging in Osteoarthritis
    Mohamed Jarraya, Frank W. Roemer, Tobias Bäuerle, Feliks Kogan, Ali Guermazi
    PET Clinics 2023 18 1
  • Beyond Anatomy: The Role of Molecular Imaging in the Evaluation of Low Back Pain
    Kevin Sweetwood, Jacqueline C. Junn, Yujie Qiao, Sigurd Berven, Vinil Shah, Miguel Hernandez Pampaloni, Robert R. Flavell, William Dillon, Jason Talbott, Courtney Lawhn-Heath
    Current Radiology Reports 2023 11 10
  • Hybrid PET/MR Neuroimaging
    Jolie Jean, David J. Hastie, Jana Ivanidze
    2022
  • Molecular Imaging
    Daehyun Yoon, Feliks Kogan, Garry Gold, Sandip Biswal
    2021
  • Sodium Fluoride PET/CT in Clinical Use
    Homer A. Macapinlac, Kalevi Kairemo
    2020

More in this TOC Section

  • Validity of the Bern Score as a Surrogate Marker of Clinical Severity in Patients with Spontaneous Intracranial Hypotension
  • Contribution of the MP2RAGE 7T Sequence in MS Lesions of the Cervical Spinal Cord
  • Resisted Inspiration Improves Visualization of CSF-Venous Fistulas in Spontaneous Intracranial Hypotension
Show more Spine

Similar Articles

Advertisement

News and Updates

  • Lucien Levy Best Research Article Award
  • Thanks to our 2022 Distinguished Reviewers

Resources

  • Evidence-Based Medicine Level Guide
  • AJNR Podcast Archive
  • Librarian Resources
  • Terms and Conditions

Opportunities

  • Get Peer Review Credit from Publons

American Society of Neuroradiology

  • Neurographics
  • ASNR Annual Meeting
  • Fellowship Portal

© 2023 by the American Society of Neuroradiology | Print ISSN: 0195-6108 Online ISSN: 1936-959X

Powered by HighWire