Evidence map›Paper›PMID 25565797›Full record

ArticleInternational journal of chronic obstructive pulmonary disease2015

The added value of hybrid ventilation/perfusion SPECT/CT in patients with stable COPD or apparently healthy smokers. Cancer-suspected CT findings in the lungs are common when hybrid imaging is used.

Jonas Jögi, Hanna Markstad, Ellen Tufvesson, Leif Bjermer, Marika Bajc

Registry-linked trialOpen access · goldAbstract readEvaluation Study
In one paragraph

Article in International journal of chronic obstructive pulmonary disease, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06074978 (Radiological Early Detection of Lung Cancer In Patients With Chronic Chest Diseases.), which is not on this map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 20% 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.

NCT06074978 unknown statusnot on this mapstarted 2023, after this paper: background citation

Radiological Early Detection of Lung Cancer In Patients With Chronic Chest Diseases.

TypeobservationalSponsorAssiut UniversityRan2023 to 2024Enrolled100ConditionsChest--Diseases
3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. State-of-the-Art Imaging for the Evaluation of Pulmonary Embolism.Current treatment options in cardiovascular medicine · 2018
    Review
  6. Article
  7. Article
  8. The benefit of personalized hybrid SPECT/CT pulmonary imaging.American journal of nuclear medicine and molecular imaging · 2016
    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

5 authors at 2 institutions in 1 country.

Jonas JögiDepartment of Clinical Physiology and Nuclear Medicine, Skåne University Hospital and Lund University, Lund, Sweden.
Hanna MarkstadDepartment of Radiology, Skåne University Hospital and Lund University, Lund, Sweden.
Ellen TufvessonDepartment of Respiratory Medicine and Allergology, Skåne University Hospital and Lund University, Lund, Sweden.
Leif BjermerDepartment of Respiratory Medicine and Allergology, Skåne University Hospital and Lund University, Lund, Sweden.
Marika BajcDepartment of Clinical Physiology and Nuclear Medicine, Skåne University Hospital and Lund University, Lund, Sweden.
Skåne University Hospital · SELund University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ventilation/perfusion (V/P) single-photon emission computed tomography (SPECT) is recognized as a diagnostic method with potential beyond the diagnosis of pulmonary embolism. V/P SPECT identifies functional impairment in diseases such as heart failure (HF), pneumonia, and chronic obstructive pulmonary disease (COPD). The development of hybrid SPECT/computed tomography (CT) systems, combining functional with morphological imaging through the addition of low-dose CT (LDCT), may be useful in COPD, as these patients are prone to lung cancer and other comorbidities. The aim of this study was to investigate the added value of LDCT among healthy smokers and patients with stable COPD, when examined with V/P SPECT/CT hybrid imaging. Sixty-nine subjects, 55 with COPD (GOLD I-IV) and 14 apparently healthy smokers, were examined with V/P SPECT and LDCT hybrid imaging. Spirometry was used to verify COPD grade. Only one apparently healthy smoker and three COPD patients had a normal or nearly normal V/P SPECT. All other patients showed various degrees of airway obstruction, even when spirometry was normal. The same interpretation was reached on both modalities in 39% of the patients. LDCT made V/P SPECT interpretation more certain in 9% of the patients and, in 52%, LDCT provided additional diagnoses. LDCT better characterized the type of emphysema in 12 patients. In 19 cases, tumor-suspected changes were reported. Three of these 19 patients (ie, 4.3% of all subjects) were in the end confirmed to have lung cancer. The majority of LDCT findings were not regarded as clinically significant. V/P SPECT identified perfusion patterns consistent with decompensated left ventricular HF in 14 COPD patients. In 16 patients (23%), perfusion defects were observed. HF and perfusion defects were not recognized with LDCT. In COPD patients and long-time smokers, hybrid imaging had added value compared to V/P SPECT alone, by identifying patients with lung malignancy and more clearly identifying emphysema. V/P SPECT visualizes comorbidities to COPD not seen with LDCT, such as pulmonary embolism and left ventricular HF.

Indexed as

Tomography, Emission-Computed, Single-PhotonTomography, X-Ray ComputedAgedCase-Control StudiesComorbidityFemaleHeart FailureHumansLungLung NeoplasmsMaleMiddle AgedMultimodal ImagingPerfusion ImagingPredictive Value of TestsProspective Studiescomputed tomographylunglung cancersingle-photon emission computed tomographyventilation/perfusionV/P SPECT

Identifiers

PMID25565797
PMCPMC4279608
OpenAlexW2058675342

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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.