Evidence map›Paper›PMID 42724310›Full record

ReviewJournal of thoracic disease2026

Role of quantitative ventilation/perfusion scan (qVQ) in the pre-treatment assessment of bronchoscopic lung volume reduction with endobronchial valves (BLVR-EBV) for emphysema and the pre-operative assessment for lung cancer: a systematic review.

Chong Ghee Chew, Michael V Brown, Phan Tien Nguyen

Abstract readReview
In one paragraph

Review in Journal of thoracic disease, 2026. 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

3 authors.

Chong Ghee ChewDepartment of Nuclear Medicine, Royal Adelaide Hospital, Adelaide, Australia.ORCID https://orcid.org/0000-0002-5303-6459
Michael V BrownCollege of Health, School of Medicine, Adelaide University, Adelaide, Australia.
Phan Tien NguyenCollege of Health, School of Medicine, Adelaide University, Adelaide, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Quantitative ventilation/perfusion scan (qVQ) can assess differential lobar function and can guide management in bronchoscopic lung volume reduction with endobronchial valves (BLVR-EBV) and pre-operative assessment for lung resection for malignancy, but is not universally used clinically. Thus, for both indications we did a systematic review to evaluate qVQ: accuracy; proof of clinical value; and comparison with other imaging modalities. Methods: We started a literature search from August 2025 in 4 databases: CENTRAL, MEDLINE, Embase, Emcare. We followed the PRISMA guidelines and prospectively registered with PROSPERO. The studies were assessed by three reviewers. Results: A total of 1,756 abstracts were reviewed, 164 titles were selected for full text reviews. In total 40 full texts and 5 abstracts were included. We added our 2 recent publications and 2 other citations. For BLVR-EBV we found qVQ: target lobe (TL) choice is concordant with gold standard quantitative computed tomography (qCT); identifies altered lobar physiology post BLVR-EBV favouring the ipsilateral untreated lobe (IUL); has comparable results with quantitative functional CT (qFCT). For lung malignancy we found qVQ: accurately predicts post-operative pulmonary functional outcomes; has comparable results with other imaging modalities; has value in sub lobar resection and in radiotherapy. Conclusions: For BLVR-EBV and lung malignancy assessment, qVQ appears to be accurate; has value in guiding treatment decisions and prognostication; and is at least as accurate as other imaging techniques.

Indexed as

Endobronchial valves (EBV)lung cancerventilation/perfusion (VQ)

Identifiers

PMID42724310
PMCPMC13559362

What OpenQuestion holds

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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.