Evidence map›Paper›PMID 38927970›Full record

ArticleCancers2024

Limited Additional Value of a Chest CT in Whole-Body Staging with PET-MRI: A Retrospective Cohort Study.

Tineke van de Weijer, Wilhelmina L van der Meer, Rik P M Moonen, Thiemo J A van Nijnatten, Hester A Gietema, Cristina Mitea, Jochem A J van der Pol, Joachim E Wildberger, Felix M Mottaghy

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Tineke van de WeijerDepartment of Radiology and Nuclear Medicine, Maastricht University Medical Center, P. Debeylaan 25, P.O. Box 5800, 6202 AZ Maastricht, The Netherlands.ORCID 0000-0003-3485-7881
Wilhelmina L van der MeerDepartment of Radiology and Nuclear Medicine, Maastricht University Medical Center, P. Debeylaan 25, P.O. Box 5800, 6202 AZ Maastricht, The Netherlands.
Rik P M MoonenDepartment of Radiology and Nuclear Medicine, Maastricht University Medical Center, P. Debeylaan 25, P.O. Box 5800, 6202 AZ Maastricht, The Netherlands.ORCID 0000-0002-2294-0226
Thiemo J A van NijnattenDepartment of Radiology and Nuclear Medicine, Maastricht University Medical Center, P. Debeylaan 25, P.O. Box 5800, 6202 AZ Maastricht, The Netherlands.ORCID 0000-0002-6431-3538
Hester A GietemaDepartment of Radiology and Nuclear Medicine, Maastricht University Medical Center, P. Debeylaan 25, P.O. Box 5800, 6202 AZ Maastricht, The Netherlands.
Cristina MiteaDepartment of Radiology and Nuclear Medicine, Maastricht University Medical Center, P. Debeylaan 25, P.O. Box 5800, 6202 AZ Maastricht, The Netherlands.
Jochem A J van der PolDepartment of Radiology and Nuclear Medicine, Maastricht University Medical Center, P. Debeylaan 25, P.O. Box 5800, 6202 AZ Maastricht, The Netherlands.ORCID 0000-0002-5698-3849
Joachim E WildbergerDepartment of Radiology and Nuclear Medicine, Maastricht University Medical Center, P. Debeylaan 25, P.O. Box 5800, 6202 AZ Maastricht, The Netherlands.
Felix M MottaghyDepartment of Radiology and Nuclear Medicine, Maastricht University Medical Center, P. Debeylaan 25, P.O. Box 5800, 6202 AZ Maastricht, The Netherlands.ORCID 0000-0002-7212-6521

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hybrid PET-MRI systems are being used more frequently. One of the drawbacks of PET-MRI imaging is its inferiority in detecting lung nodules, so it is often combined with a computed tomography (CT) of the chest. However, chest CT often detects additional, indeterminate lung nodules. The objective of this study was to assess the sensitivity of detecting metastatic versus indeterminate nodules with PET-MRI compared to chest CT. A total of 328 patients were included. All patients had a PET/MRI whole-body scan for (re)staging of cancer combined with an unenhanced chest CT performed at our center between 2014 and 2020. Patients had at least a two-year follow-up. Six percent of the patients had lung metastases at initial staging. The sensitivity and specificity of PET-MRI for detecting lung metastases were 85% and 100%, respectively. The incidence of indeterminate lung nodules on chest CT was 30%. The sensitivity of PET-MRI to detect indeterminate lung nodules was poor (23.0%). The average size of the indeterminate lung nodules detected on PET-MRI was 7 ± 4 mm, and the missed indeterminate nodules on PET-MRI were 4 ± 1 mm (

Indexed as

CTOncologyPET/MRI

Identifiers

PMID38927970
PMCPMC11201796

What Socratic holds

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LicenceCC BY
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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 Socratic graph.