Evidence map›Paper›PMID 41660439›Full record

ArticleJournal of thoracic disease2026

The value of V/Q SPECT/CT lobar quantitation for pre-treatment assessment of lung malignancy.

Michael V Brown, Phan Nguyen, Ben Crouch, Arash Badiei, Joseph Inauen, Hien Le, Craig Jurisevic, Chong Ghee Chew

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2026. 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
–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

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

  1. Pooled it
  2. Review
  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

8 authors.

Michael V BrownDepartment of Thoracic Medicine, Royal Adelaide Hospital, Adelaide, Australia.ORCID https://orcid.org/0000-0002-6678-1407
Phan NguyenDepartment of Thoracic Medicine, Royal Adelaide Hospital, Adelaide, Australia.ORCID https://orcid.org/0000-0002-8573-3574
Ben CrouchSouth Australian Medical Imaging (SAMI), Medical Physics, Royal Adelaide Hospital, Adelaide, Australia.
Arash BadieiDepartment of Thoracic Medicine, Royal Adelaide Hospital, Adelaide, Australia.ORCID https://orcid.org/0000-0002-9237-8355
Joseph InauenDepartment of Thoracic Medicine, Royal Adelaide Hospital, Adelaide, Australia.
Hien LeDepartment of Radiation Oncology, Central Adelaide Local Health Network, Adelaide, Australia.ORCID https://orcid.org/0000-0002-1527-5889
Craig JurisevicCardiothoracic Surgical Unit, Royal Adelaide Hospital, Adelaide, Australia.
Chong Ghee ChewFaculty of Health and Medical Sciences, Adelaide Medical School, University of Adelaide, Adelaide, Australia.ORCID https://orcid.org/0000-0002-5303-6459

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Predicting post-treatment lung function is critical in selecting curative-intent therapies like surgery or stereotactic ablative body radiotherapy (SABR) for early-stage lung cancer. Current guidelines estimate predicted post-operative (PPO) function using lobar volume, ignoring regional variation in ventilation and perfusion, especially in diseased lungs. We aimed to assess the feasibility of ventilation/perfusion single photon emission computed tomography/computed tomography (V/Q SPECT/CT) lobar quantification for improved prediction of post-treatment lung function. Methods: We developed a novel index-Ventilation-Perfusion Capacity Differential Index (VQCDI)-using in-house software that quantifies lobar ventilation, perfusion and volume, reflecting each lobe's contribution to lung function. The software enables manual annotation of surgical margins and radiation fields, allowing regional quantification. Patients undergoing lobectomy, sub-lobar resection or SABR were prospectively enrolled. VQCDI and CT-based volumetric predictions (Vol%) of PPO forced expiratory volume in 1 second (FEV1), diffusing capacity of the lungs for carbon monoxide (DLCO) and haemoglobin-corrected DLCO (DLCOc) were compared to 6-month post-treatment measurements using Pearson correlation, intraclass coefficients (ICC) and Bland-Altman analysis. Results: Fifty-three of 60 sequentially enrolled participants completed post-treatment lung function. VQCDI predicted post-treatment FEV1 in surgical participants with a strong correlation (R=0.920, ICC =0.908, mean difference: -0.096 L) outperforming Vol%. For DLCO and DLCOc, VQCDI also showed strong correlation in surgical participants (R=0.899, ICC =0.874, and R=0.921, ICC =0.899). Performance remained high across participants undergoing lobectomy and sub-lobar resection and in smokers and those with emphysema. VQCDI may also be useful in the quantification of lung function changes in acute radiation pneumonitis post-SABR using 100%, 75%, 50% and 25% radiation dose isocontour zones. Conclusions: VQCDI is a feasible tool that appears to accurately predict post-treatment lung function, with novel capability in sub-lobar resection and post-SABR evaluation. Further multicentre studies with longer follow-up would be beneficial.

Indexed as

lobectomylung cancerpulmonary function test (PFT)stereotactic ablative body radiotherapy (SABR)Ventilation-perfusion (V/Q)

Identifiers

PMID41660439
PMCPMC12876027

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.