Evidence map›Paper›PMID 31073861›Full record

ArticleEuropean radiology2019

Sparse sampling computed tomography (SpSCT) for detection of pulmonary embolism: a feasibility study.

Andreas P Sauter, Felix K Kopp, Rolf Bippus, Julia Dangelmaier, Dominik Deniffel, Alexander A Fingerle, Felix Meurer, Daniela Pfeiffer, Roland Proksa, Ernst J Rummeny and 1 more

Abstract readEvaluation Study
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In one paragraph

Article in European radiology, 2019. 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
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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

11 authors.

Andreas P SauterDepartment of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany. andreas.sauter@tum.de.ORCID http://orcid.org/0000-0003-4394-862X
Felix K KoppDepartment of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany.
Rolf BippusPhilips GmbH Innovative Technologies, Research Laboratories, Hamburg, Germany.
Julia DangelmaierDepartment of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany.
Dominik DeniffelDepartment of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany.
Alexander A FingerleDepartment of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany.
Felix MeurerDepartment of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany.
Daniela PfeifferDepartment of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany.
Roland ProksaPhilips GmbH Innovative Technologies, Research Laboratories, Hamburg, Germany.
Ernst J RummenyDepartment of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany.
Peter B NoëlDepartment of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany.

Funding

Bundesministerium für Bildung und Forschung 13GW0072CDeutsche Forschungsgemeinschaft GRK 2274
6 · The paper itself

Abstract

objectivesEvaluation of sparse sampling computed tomography (SpSCT) regarding subjective and objective image criteria for the detection of pulmonary embolism (PE) at different simulated dose levels.

methodsComputed tomography pulmonary angiography (CTPA) scans of 20 clinical patients were used to obtain simulated low-dose scans with 100%-50%-25%-12.5%-6.3%-3.1% of the clinical dose, resulting in a total of six dose levels (DL). From these full sampling (FS) data, every second (2-SpSCT) or fourth (4-SpSCT) projection was used to obtain simulated sparse sampling scans. Each image set was evaluated by four blinded radiologists regarding subjective image criteria (artifacts, image quality) and diagnostic performance (confidence, sensitivity, specificity, accuracy, and area under the curve). Additionally, the contrast-to-noise ratio (CNR) was evaluated for objective image quality.

resultsSensitivity was 100% with 2-SpSCT and 4-SpSCT at the 25% DL and the 12.5% DL for all localizations of PE (one subgroup 98.5%). With FS, the sensitivity decreased to 90% at the 12.5% DL. 2-SpSCT and 4-SpSCT showed higher values for sensitivity, specificity, accuracy, and the area under the curve at all DL compared with FS. Subjective image quality was significantly higher for 4-SpSCT compared with FS at each dose level (p < 0.01, paired t test). Only with 4-SpSCT, all examinations were rated as showing diagnostic image quality at the 12.5% DL.

conclusionsVia SpSCT, a dose reduction down to a 12.5% dose level (corresponding to a mean effective dose of 0.38 mSv in the current study) for CTPA is possible while maintaining high image quality and full diagnostic confidence. KEY POINTS: • With sparse sampling CT, radiation dose could be significantly reduced in clinical routine. • Sparse sampling CT is a novel hardware solution with which less projection images are acquired. • In the current study, a dose reduction of 87.5% (corresponding to a mean effective dose of 0.38 mSv) for CTPA could be achieved while maintaining excellent diagnostic performance.

Indexed as

Analysis of VarianceArtifactsComputed Tomography AngiographyFeasibility StudiesHumansLungPatient SafetyPulmonary EmbolismRadiation DosageSensitivity and SpecificityComputed tomography angiographyPatient safetyPulmonary embolismRadiation dosageTechnology, radiologic

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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.