Evidence map›Paper›PMID 42444938›Full record

ArticleJournal of thoracic disease2026

Association of lung perfusion single-photon emission computed tomography (SPECT) with postoperative lung function decline after segmentectomy.

Lucas Wilhelm, Saifeddine Melki, Laetitia Imbert, Achraf Bahloul, Ulrick Gerhard, Timothée Zaragori, Pierre-Yves Marie, Stéphane Renaud, Antoine Verger

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. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Lucas WilhelmDepartment of Nuclear Medicine, CHRU Nancy, Vandœuvre-lès-Nancy, France.ORCID https://orcid.org/0009-0000-0279-6987
Saifeddine MelkiDepartment of Nuclear Medicine, CHRU Nancy, Vandœuvre-lès-Nancy, France.
Laetitia ImbertDepartment of Nuclear Medicine, CHRU Nancy, Vandœuvre-lès-Nancy, France.
Achraf BahloulDepartment of Nuclear Medicine, CHRU Nancy, Vandœuvre-lès-Nancy, France.
Ulrick GerhardDepartment of Thoracic Surgery, CHRU Nancy, Vandœuvre-lès-Nancy, France.
Timothée ZaragoriNancy Clinical Investigation Center Technological Innovations, CHRU Nancy, Vandœuvre-lès-Nancy, France.
Pierre-Yves MarieDepartment of Nuclear Medicine, CHRU Nancy, Vandœuvre-lès-Nancy, France.
Stéphane RenaudDepartment of Thoracic Surgery, CHRU Nancy, Vandœuvre-lès-Nancy, France.
Antoine VergerDepartment of Nuclear Medicine, CHRU Nancy, Vandœuvre-lès-Nancy, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lung perfusion scintigraphy is helpful for predicting a decrease in lung function after lobectomy; however, little is known after segmentectomy. Our study aimed to evaluate the performance of perfusion single-photon emission computed tomography with computed tomography (SPECT/CT) for predicting significantly decreased lung function after segmentectomy. Methods: This retrospective observational cohort study included consecutive patients who underwent lung perfusion scintigraphy, recorded using 360° semiconductor SPECT/CT, before a planned segmentectomy for lung nodules. The difference in forced expiratory volume in one second (FEV1) from the presurgery measurement to the 6-month follow-up was predicted using presurgical lung perfusion SPECT/CT, in addition to clinical factors, presurgical pulmonary function tests, lung CT and anatomical segment counting methods. A minimal clinically important difference (MCID) of 100 milliliters in the FEV1 was used. Results: This study included 51 patients [aged 67.0 years (IQR: 60-72)], 21 women, 1 segment resected (IQR: 1-2) who were referred for lung SPECT/CT before segmentectomy. Twenty-three (45%) experienced a functional decrease after 6 months that met the MCID threshold. Lung perfusion SPECT/CT was the only multivariate predictor of the change in the 6-month FEV1 (beta-coefficient 1.532, 95% CI: 0.757-2.308, P<0.001) and of a decrease in FEV1 corresponding to the MCID threshold (odds ratio <0.001, 95% CI: <0.001-0.052, P=0.004). The SPECT-based lung perfusion prediction of a decrease in the FEV1 of more than 192 mL had a sensitivity of 83% and a specificity of 64% for predicting an actual 6-month MCID decrease. Conclusions: A post-segmentectomy decrease in lung function was significantly associated with segmental lung perfusion using lung perfusion SPECT.

Indexed as

lungperfusionpulmonary function test (PFT)segmentectomysingle-photon emission computed tomography (SPECT)

Identifiers

PMID42444938
PMCPMC13358623

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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.