Evidence map›Paper›PMID 27033474›Full record

ArticleLa Radiologia medica2016

Comparison of retrospective PET and MRI-DWI (PET/MRI-DWI) image fusion with PET/CT and MRI-DWI in detection of cervical and endometrial cancer lymph node metastases.

Alessandro Stecco, Francesco Buemi, Alessia Cassarà, Roberta Matheoud, Gian Mauro Sacchetti, Alberto Arnulfo, Marco Brambilla, Alessandro Carriero

Registry-linked trialAbstract readComparative Study
PubMed Publisher
In one paragraph

Article in La Radiologia medica, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03945786 (Diagnostic Performance of Simultaneous Hybrid), which is not on this map. Cited by 28 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 3 pooled it
–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.

NCT03945786 suspendednot on this mapstarted 2019, after this paper: background citation

Diagnostic Performance of Simultaneous Hybrid (18)F-fluoro-D-glucose (FDG) Positron Emission Tomography/Magnetic Resonance Imaging (PET/MRI) in the Preoperative Staging of Endometrial Carcinoma

TypeobservationalSponsorXuanwu Hospital, BeijingRan2019 to 2022Enrolled120ConditionsEndometrial Carcinoma
3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
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  6. Article
  7. Retrospective analysis of theRadiation oncology (London, England) · 2023
    Article
  8. Article
  9. Review
  10. Article
  11. Multiparametric Dual-Time-Point [Journal of clinical medicine · 2022
    Article
  12. Observational
  13. Lymph Node Staging with a Combined Protocol ofJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2021
    Article
  14. Relative clinical utility of simultaneousThe Journal of international medical research · 2021
    Article
  15. Article
  16. Review
  17. Review
  18. Article
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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.

Alessandro SteccoRadiology Department, University of Eastern Piedmont, "Maggiore della Carità" Hospital, Corso Mazzini 18, 28100, Novara, Italy. a.stecco@libero.it.
Francesco BuemiRadiology Department, University of Eastern Piedmont, "Maggiore della Carità" Hospital, Corso Mazzini 18, 28100, Novara, Italy.
Alessia CassaràRadiology Department, University of Eastern Piedmont, "Maggiore della Carità" Hospital, Corso Mazzini 18, 28100, Novara, Italy.
Roberta MatheoudMedical Physics Department, University of Eastern Piedmont, "Maggiore della Carità" Hospital, Novara, Italy.
Gian Mauro SacchettiNuclear Medicine Department, University of Eastern Piedmont, "Maggiore della Carità" Hospital, Novara, Italy.
Alberto ArnulfoGynecology Department, University of Eastern Piedmont, "Maggiore della Carità" Hospital, Novara, Italy.
Marco BrambillaMedical Physics Department, University of Eastern Piedmont, "Maggiore della Carità" Hospital, Novara, Italy.
Alessandro CarrieroRadiology Department, University of Eastern Piedmont, "Maggiore della Carità" Hospital, Corso Mazzini 18, 28100, Novara, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe aim of this study was to compare the accuracy of retrospective image fusion of PET/MRI-DWI with that of PET/CT and MRI-DWI alone in detecting metastatic lymph nodes in patients with cervical and endometrial carcinoma. MATERIALS AND

methodsTwenty-seven patients with endometrial (n = 14) and cervical (n = 13) cancer who had undergone preoperative MRI-DWI and PET/CT for staging were retrospectively evaluated. The accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of PET/CT, MRI-DWI, and PET/MRI-DWI image fusion were calculated on a per-patient basis and on a per-node basis. Histopathological and follow-up imaging results were used as the gold standard.

resultsOn a per-patient basis PET/MRI-DWI had the same sensitivity (87.5 %), specificity (84.2 %), diagnostic accuracy (85.1 %), PPV (70 %), and NPV (94.1 %) as PET-CT, but on a per-node basis PET/MRI-DWI showed better sensitivity (89 vs 70.2 %), specificity (91.6 vs 90.5 %), diagnostic accuracy (91.2 vs 87 %), PPV (68.7 vs 60.4 %), and NPV (97.6 vs 93.6 %) than PET-CT. Comparison of the areas under the ROC curves for the detection of metastatic lymph nodes demonstrated a non-significant difference (p = 0.055) between PET/CT and fused PET/MRI-DWI.

conclusionPET/MRI-DWI may be a valuable technique for N-staging patients with endometrial and cervical cancer, but more studies are needed to investigate its potential clinical utility.

Indexed as

Multimodal ImagingAdultAgedContrast MediaDiffusion Magnetic Resonance ImagingEndometrial NeoplasmsFemaleFluorodeoxyglucose F18HumansLymphatic MetastasisMiddle AgedNeoplasm StagingPositron-Emission TomographyPositron Emission Tomography Computed TomographyPredictive Value of TestsRadiopharmaceuticalsContrast MediaFluorodeoxyglucose F18RadiopharmaceuticalsDWIFusion ImagingMRIPET/CTUterine cancer

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Registered trials

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.