Evidence map›Paper›PMID 36253228›Full record

ArticleCurrent problems in diagnostic radiology

Role of MRI in the Evaluation of Pulmonary Sequel Following COVID-19 Acute Respiratory Distress Syndrome (ARDS).

Mandeep Garg, Saurav Lamicchane, Muniraju Maralakunte, Uma Debi, Sahajal Dhooria, Inderpaul Sehgal, Nidhi Prabhakar, Manavjit Singh Sandhu

Open access · greenAbstract read
In one paragraph

Article in Current problems in diagnostic radiology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Current Progress in the CT- and MRI-Based Detection and Evaluation of Acute Pancreatitis Complications.Medical science monitor : international medical journal of experimental and clinical research · 2025
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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 at 1 institution in 1 country.

Mandeep GargDeptt. of Radiodiagnosis & Imaging, PGIMER, Chandigarh, India. Electronic address: gargmandeep@hotmail.com.
Saurav LamicchaneDeptt. of Radiodiagnosis & Imaging, PGIMER, Chandigarh, India.
Muniraju MaralakunteDeptt. of Radiodiagnosis & Imaging, PGIMER, Chandigarh, India.
Uma DebiDeptt. of Radiodiagnosis & Imaging, PGIMER, Chandigarh, India.
Sahajal DhooriaDeptt. of Pulmonary Medicine, PGIMER, Chandigarh, India.
Inderpaul SehgalDeptt. of Pulmonary Medicine, PGIMER, Chandigarh, India.
Nidhi PrabhakarDeptt. of Radiodiagnosis & Imaging, PGIMER, Chandigarh, India.
Manavjit Singh SandhuDeptt. of Radiodiagnosis & Imaging, PGIMER, Chandigarh, India.
Post Graduate Institute of Medical Education and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To evaluate the role of magnetic resonance imaging (MRI) chest as an alternative modality to CT chest for follow-up of patients recovered from severe COVID-19 acute respiratory distress syndrome (ARDS). A total of 25 subjects (16 [64%] men; mean age 54.84 years ± 12.35) who survived COVID-19 ARDS and fulfilled the inclusion criteria were enrolled prospectively. All the patients underwent CT and MRI chest (on the same day) at 6-weeks after discharge. MRI chest was acquired on 1.5T MRI using HASTE, BLADE, VIBE, STIR, and TRUFI sequences and evaluated for recognition of GGOs, consolidation, reticulations/septal thickening, parenchymal bands, and bronchial dilatation with CT chest as the gold standard. The differences were assessed by independent-sample t-test and Mann-Whitney U test. P-value of less than 0.05 was taken significant. There was a strong agreement (k = 0.8-1, P<0.01) between CT and MRI chest. On CT, the common manifestations were: GGOs (n=24, 96%), septal thickening/reticulations (n=24, 96%), bronchial dilatation (n=16, 64%), parenchymal bands (n=14, 56%), pleural thickening (n=8, 32%), consolidation (n=4, 16%) and crazy-paving (n=4, 16%). T2W HASTE, T2W BLADE, and T1 VIBE sequences showed 100% (95% CI, 40-100) sensitivity and 100% (95% CI, 3-100) specificity for detecting GGOs, septal thickening/reticulations, pleural thickening, consolidation, and crazy-paving. The overall sensitivity of MRI for detection of bronchial dilatation and parenchymal bands were 88.9% (95% CI, 77-100) and 92.9% (95% CI, 66-100), respectively; and specificity was 100% (95% CI, 29-100) for both findings. MRI chest, being radiation-free imaging modality can act as an alternative to CT chest in the evaluation of lung changes in patients recovered from COVID-19 pneumonia.

Indexed as

COVID-19Respiratory Distress SyndromeFemaleHumansLungMagnetic Resonance ImagingMaleMiddle AgedTomography, X-Ray Computed

Identifiers

PMID36253228
PMCPMC9508699
OpenAlexW4296934915

What OpenQuestion holds

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Registered trials

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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.