Evidence map›Paper›PMID 36388903›Full record

ArticleFrontiers in medicine2022

Quantification of the pulmonary vascular obstruction index on ventilation/perfusion lung scintigraphy: Comparison of a segmental visual scoring to the Meyer score.

Romain Le Pennec, Cécile Tromeur, Charles Orione, Philippe Robin, Raphaël Le Mao, Christophe Gut-Gobert, Grégoire Le Gal, Pierre Yves Salaün, Pierre Yves Le Roux

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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

9 authors at 2 institutions in 2 countries.

Romain Le PennecU1304 (GETBO) IFR 148, CHRU de Brest, Service de Médecine Nucléaire, Université de Bretagne Occidentale, Brest, France.
Cécile TromeurDépartement de Médecine Interne et Pneumologie, U1304 (GETBO), CHRU de Brest, Université de Bretagne Occidentale, Brest, France.
Charles OrioneDépartement de Médecine Interne et Pneumologie, U1304 (GETBO), CHRU de Brest, Université de Bretagne Occidentale, Brest, France.
Philippe RobinU1304 (GETBO) IFR 148, CHRU de Brest, Service de Médecine Nucléaire, Université de Bretagne Occidentale, Brest, France.
Raphaël Le MaoDépartement de Médecine Interne et Pneumologie, U1304 (GETBO), CHRU de Brest, Université de Bretagne Occidentale, Brest, France.
Christophe Gut-GobertDépartement de Médecine Interne et Pneumologie, U1304 (GETBO), CHRU de Brest, Université de Bretagne Occidentale, Brest, France.
Grégoire Le GalCentre d'Investigation Clinique, Centre Hospitalier Régional et Universitaire de Brest, Brest, France.
Pierre Yves SalaünU1304 (GETBO) IFR 148, CHRU de Brest, Service de Médecine Nucléaire, Université de Bretagne Occidentale, Brest, France.
Pierre Yves Le RouxU1304 (GETBO) IFR 148, CHRU de Brest, Service de Médecine Nucléaire, Université de Bretagne Occidentale, Brest, France.
Université de Bretagne Occidentale · FRCentre Hospitalier Régional Universitaire de Brest · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Quantifying the pulmonary vascular obstruction index (PVOI) is essential for the management of patients with pulmonary embolism or chronic thromboembolic pulmonary hypertension (CTEPH). The reference method for quantifying the PVOI with planar lung ventilation/perfusion (V/Q) scintigraphy is the Meyer score, which was validated using pulmonary angiography as a reference standard. However, it is complex to use in daily practice. In contrast, a rapid and fast quantification method consists in estimating the PVOI based on the number of segmental perfusion defects. However, the accuracy of this method has never been evaluated. In this study, we aimed to compare PVOI quantification on planar V/Q scintigraphy assessed by a segmental visual scoring (SVS) to the Meyer score. Materials and methods: The eligible study population consisted of consecutive patients who underwent planar V/Q scan for CTEPH screening. A central review was performed by three nuclear medicine physicians. PVOI was assessed by summing the number of segmental perfusion defects or equivalent (2 sub-segments = 1 segment = 5%) and by Meyer's method. The two interpretations were performed 6 months apart. A Spearman rank correlation coefficient was calculated to evaluate correlation between the two measurement methods. An intra-class correlation (ICC) was calculated to assess agreement. A Bland et Altman plot analysis was used to evaluate agreement between the two measurements. Results: A total of 226 V/Q scans were interpreted. Spearman rank correlation coefficient between SVS and Meyer was 0.963 (95%CI 0.952-0.971) for mismatched perfusion defects and 0.963 (95%CI 0.953-0.972) for perfusion defects regardless of ventilation. Intra-class correlation (ICC) for agreement was 0.978 (95%CI 0.972-0.983) for mismatched perfusion defects and 0.968 (95%CI 0.959-0.976) for perfusion defects regardless of ventilation. In Bland & Altmann analysis, the mean difference between the SVS method and the Meyer score was 0.42 and 0.61 for the mismatched or matched evaluation, respectively. Conclusion: Our study shows a high correlation, and low differences in PVOI quantification when using a segmental visual scoring (SVS) as compared to the Meyer score. The SVS has the great advantage to be easy and rapid to apply in daily practice.

Indexed as

lung scan ventilation/perfusionlung scintigraphypulmonary vascular obstructionquantificationV/Q—ventilation/perfusion

Identifiers

PMID36388903
PMCPMC9643641
OpenAlexW4307365767

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.