Evidence map›Paper›PMID 24469258›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2014

Differentiation of HIV-associated lymphoma from HIV-associated reactive adenopathy using quantitative FDG PET and symmetry.

Joyce C Mhlanga, Daniel Durand, Hua-Ling Tsai, Christine M Durand, Jeffrey P Leal, Hao Wang, Richard Moore, Richard L Wahl

Abstract read
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.7field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

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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

21 citing papers in PubMed, 46 citations in OpenAlex.

  1. Trial
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  5. Recent advancements inAmerican journal of nuclear medicine and molecular imaging · 2024
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  7. Clinical value ofFrontiers in oncology · 2023
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  8. Clinical features andBMC infectious diseases · 2022
    Article
  9. State of the art ofClinical and translational imaging · 2021
    Review
  10. Article
  11. Review
  12. CT Texture Analysis of Cervical Lymph Nodes on Contrast-Enhanced [AJNR. American journal of neuroradiology · 2019
    Article
  13. Observational
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Current knowledge on HIV-associated Plasmablastic Lymphoma.Mediterranean journal of hematology and infectious diseases · 2014
    Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Joyce C MhlangaDivision of Nuclear Medicine, The Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Daniel Durand
Hua-Ling Tsai
Christine M Durand
Jeffrey P Leal
Hao Wang
Richard Moore
Richard L Wahl
Johns Hopkins Medicine · USJohns Hopkins University · US

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI Rosalie Wollett · 1985 to 2026
$208.6M
Johns Hopkins HIV Clinical CohortU01DA036935 · NIDA · JOHNS HOPKINS UNIVERSITY · PI MOORE, RICHARD DOUGLAS · 2014 to 2024
$14.9M
Multi-Modality Quantitiative Imaging for Evaluation of Response to Cancer TherapyU01CA140204 · NCI · JOHNS HOPKINS UNIVERSITY · PI DU, YONG, SOLNES, LILJA · 2011 to 2022
$6.1M
NCI NIH HHS NCI-U-01-CA 140204NCI NIH HHS P30 CA006973NCI NIH HHS U01 CA140204NIDA NIH HHS U01 DA036935
6 · The paper itself

Abstract

purposeTo determine the diagnostic accuracy of a semiautomated (18)F-FDG PET/CT measurement of total lesion glycolysis (TLG), maximum and peak standardized uptake value at lean body mass (SUL-Max and SUL-Peak), qualitative estimates of left/right nodal symmetry and FDG uptake for differentiating lymphoma from reactive adenopathy in HIV-infected patients.

methodsWe retrospectively analyzed 41 whole-body (18)F-FDG PET/CT studies performed in HIV-infected patients for clinical reasons. The study received institutional review board approval. Of the 41 patients, 19 had biopsy-proven untreated lymphoma, and 22 with reactive adenopathy without malignancy on follow-up were used as controls. Nodal and extranodal visual qualitative metabolic scores, SUL-Max, SUL-Peak, CT nodal size, and PERCIST 1.0 threshold-based TLG and metabolic tumor volume (MTV) were determined. The qualitative intensity of nodal involvement and symmetry of uptake were compared using receiver operator curve (ROC) analysis. HIV plasma viral RNA measurements were also obtained.

resultsAll of the quantitative PET metrics performed well in differentiating lymphoma from reactive adenopathy and performed better than qualitative visual intensity scores. The areas under the ROC curves (AUC) were significantly higher for TLG = 0.96, single SUL-Peak = 0.96, single SUL-Max = 0.97, and MTV = 0.96, compared to 0.67 for CT nodal size (p < 0.001). These PET metrics performed best in separating the two populations in aviremic patients, with AUCs of 1 (AUC 0.91 for CT nodal size). TLG, MTV, SUL-Peak and SUL-Max were more reliable markers among viremic individuals, with AUCs between 0.84 and 0.93, compared to other metrics. PET metrics were significantly correlated with plasma viral load in HIV-reactive adenopathy controls. Asymmetrical FDG uptake had an accuracy of 90.4 % for differentiating lymphoma from reactive adenopathy in HIV-infected patients.

conclusionQuantitative PET metabolic metrics as well as the qualitative assessment of symmetry of nodal uptake appear to be valuable tools for differentiating lymphoma from reactive adenopathy in HIV-infected patients using FDG PET. These parameters appear more robust in aviremic patients.

Indexed as

Fluorodeoxyglucose F18Positron-Emission TomographyRadiopharmaceuticalsAdultCase-Control StudiesDiagnosis, DifferentialFemaleHumansLymph NodesLymphoma, AIDS-RelatedMaleMiddle AgedMultimodal ImagingTomography, X-Ray ComputedFluorodeoxyglucose F18Radiopharmaceuticals

Identifiers

PMID24469258
PMCPMC4322908
OpenAlexW2093793136

What OpenQuestion holds

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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.