Evidence map›Paper›PMID 33454923›Full record

ArticleAnnals of nuclear medicine2021

[

Filippo Crimì, Daniele Borsetto, Roberto Stramare, Roberto Di Carlo, Enzo Emauelli, Piero Nicolai, Carmelo Lacognata, Pietro Zucchetta, Giulia Oliveri, Arcangelo Merola and 4 more

Abstract read
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In one paragraph

Article in Annals of nuclear medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 32% of its field
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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
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

14 authors at 2 institutions in 2 countries.

Filippo Crimì *Department of Medicine DIMED, Institute of Radiology, Padova University Hospital, Padua, Italy.
Daniele Borsetto *Guy's and St Thomas NHS Trust, Great Maze Pond, London, SE1 9RT, UK. daniele.borsetto@gmail.com.ORCID http://orcid.org/0000-0003-3464-2688
Roberto StramareDepartment of Medicine DIMED, Institute of Radiology, Padova University Hospital, Padua, Italy.
Roberto Di CarloOtolaryngology Unit, Department of Neurosciences DNS, Padova University Hospital, Padua, Italy.
Enzo EmauelliOtolaryngology Unit, Department of Neurosciences DNS, Padova University Hospital, Padua, Italy.
Piero NicolaiOtolaryngology Unit, Department of Neurosciences DNS, Padova University Hospital, Padua, Italy.
Carmelo LacognataRadiology Unit, University-Hospital of Padova, Padua, Italy.
Pietro ZucchettaNuclear Medicine Unit, Department of Medicine DIMED, Padova University Hospital, Padua, Italy.
Giulia OliveriOtolaryngology Unit, Department of Neurosciences DNS, Padova University Hospital, Padua, Italy.
Arcangelo MerolaDepartment of Medicine DIMED, Institute of Radiology, Padova University Hospital, Padua, Italy.
Valentina BodanzaNuclear Medicine Unit, Department of Medicine DIMED, Padova University Hospital, Padua, Italy.
Laura AlbertoniSurgical Pathology and Cytopathology Unit, Department of Medicine DIMED, Padova University Hospital, Padua, Italy.
Cristina CampiDepartment of Mathematics "Tullio Levi-Civita", University of Padova, Padua, Italy.
Diego CecchinNuclear Medicine Unit, Department of Medicine DIMED, Padova University Hospital, Padua, Italy.
University of Padua · ITGuy's and St Thomas' NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo compare the accuracy of contrast-enhanced MRI using established dimensional and morphological criteria versus integrated [

methodsWe retrospectively reviewed 26 patients with histologically proven HNSCC who underwent gadolinium-enhanced [

resultsOut of 865 lymph nodes, 35 were malignant at histopathology (3 with micro-metastases). Sensitivity and specificity were 48.6% and 99.5% for MRI using dimensional criteria; 60.0% and 99.6% for MRI using morphological criteria; 60.0% and 99.4% for MRI using both; and 74.3% and 97.6% for PET using MR as anatomic localization. The area under the ROC curve was higher for PET and MRI localization (0.859) than for MRI using dimensional (0.740; p < 0.05), or morphological (0.798; p < 0.05), or both criteria (0.797; p < 0.05). PET/MR using a PET SUVmax cutoff of 5.7 combined with MRI using dimensional and/or morphological criteria reached high values for accuracy (98.2%), NPV (98.2%), and PPV (95.2%).

conclusionsCompared with traditional contrast-enhanced MRI or PET alone, integrated PET/MRI could improve diagnostic accuracy in detecting metastatic lymph nodes in patients with HNSCC.

Indexed as

AdultAgedFemaleFluorodeoxyglucose F18GadoliniumHead and Neck NeoplasmsHumansLymphatic MetastasisLymph NodesMagnetic Resonance ImagingMaleMiddle AgedMultimodal ImagingPositron-Emission TomographyRadiopharmaceuticalsRetrospective StudiesFluorodeoxyglucose F18GadoliniumRadiopharmaceuticalsHNSCCLymph nodesPET/MRI

Identifiers

PMID33454923
OpenAlexW3125232577

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.