Evidence map›Paper›PMID 41440238›Full record

ArticleCurrent oncology (Toronto, Ont.)2025

Magnetic Resonance of Pulmonary Nodules in Oncological Patients: Are We Ready to Replace Chest CT in Detecting Extrathoracic Cancer?

Ronak Kundalia, Jessica Gemmell, Ian Griffin, Amanda Acevedo, Joice Prodigios, Sandro Bertani, Alysson Roncally Silva Carvalho, Rosana Souza Rodrigues, Hiren J Mehta, Bruno Hochhegger

Abstract read
In one paragraph

Article in Current oncology (Toronto, Ont.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Ronak KundaliaCollege of Medicine, University of Florida, Gainesville, FL 32610, USA.
Jessica GemmellCollege of Medicine, University of Florida, Gainesville, FL 32610, USA.ORCID 0009-0007-6218-5732
Ian GriffinCollege of Medicine, University of Florida, Gainesville, FL 32610, USA.ORCID 0009-0006-6565-4971
Amanda AcevedoCollege of Medicine, University of Florida, Gainesville, FL 32610, USA.ORCID 0009-0004-2718-4302
Joice ProdigiosDepartment of Radiology, University of Florida, Gainesville, FL 32610, USA.
Sandro BertaniDepartment of Radiology, Santa Casa de Misericordia de Porto Alegre, Porto Alegre 90020-090, Brazil.
Alysson Roncally Silva CarvalhoIDOR Institute, Rio de Janeiro 22281-100, Brazil.
Rosana Souza RodriguesIDOR Institute, Rio de Janeiro 22281-100, Brazil.ORCID 0000-0002-9952-3834
Hiren J MehtaDivision of Pulmonary, Critical Care and Sleep Medicine, University of Florida, Gainesville, FL 32610, USA.ORCID 0000-0001-7331-747X
Bruno HochheggerDepartment of Radiology, University of Florida, Gainesville, FL 32610, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aims to assess the accuracy of pulmonary nodule detection via MRI compared to the gold standard, CT, in patients with extrathoracic cancer. MATERIALS AND

methodsMRI of the chest was performed on oncological patients for staging extrathoracic cancer and subsequently compared to their CT. Only the largest nodule was considered in patients with multiple nodules. Nodule size and malignancy were recorded for each modality, as well as the presence of interstitial lung disease (ILD), adenopathy, cardiomegaly, pleural effusion, pericardial effusion, and vertebral fracture. All cases were read by two thoracic radiologists and any discrepancies were resolved by discussion.

resultsA total of 154 patients with nodules were identified from 241 participants (mean age: 59 years [18-95]). Average nodule diameter was 11.5 mm (range: 3.9-29.1 mm; SD: 8.1 mm). MRI detected all nodules greater than 5 mm. Malignancy was detected in 37 nodules. The sensitivity, specificity, and accuracy values of MRI for all nodules were 93.51%, 100%, and 95.85%, respectively. For ground-glass nodules (

conclusionsThese findings suggest that lung MRI accurately detects pulmonary nodules and other thoracic pathologies commonly observed in oncological patients. Lung MRI may serve as a substitute to CT for oncological patients undergoing routine extrathoracic surveillance, thereby decreasing radiation exposure.

Indexed as

Magnetic Resonance ImagingMultiple Pulmonary NodulesTomography, X-Ray ComputedAdolescentAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedYoung AdultcancerMRIpulmonary nodule

Identifiers

PMID41440238
PMCPMC12731333

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.