Evidence map›Paper›PMID 42277368›Full record

ArticleEmergency radiology2026

Improved computer-aided detection performance for pulmonary embolism on CTPA with higher noise reduction reconstruction.

Eline Langius-Wiffen, Nikki Hendriks, Ingrid M Nijholt, Erwin de Boer, Stefan Walen, Jan Wk van den Berg, Pim A de Jong, Martijn F Boomsma

Abstract read
PubMed Publisher
In one paragraph

Article in Emergency radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Eline Langius-WiffenDepartment of Radiology, Isala Hospital, Dr. van Heesweg 2, Zwolle, 8025 AB, the Netherlands. elinelangius@gmail.com.ORCID http://orcid.org/0000-0001-8290-115X
Nikki HendriksDepartment of Radiology, Isala Hospital, Dr. van Heesweg 2, Zwolle, 8025 AB, the Netherlands.
Ingrid M NijholtDepartment of Radiology, Isala Hospital, Dr. van Heesweg 2, Zwolle, 8025 AB, the Netherlands.
Erwin de BoerDepartment of Radiology, Isala Hospital, Dr. van Heesweg 2, Zwolle, 8025 AB, the Netherlands.
Stefan WalenDepartment of Pulmonology, Isala Hospital, Dr. van Heesweg 2, Zwolle, 8025 AB, the Netherlands.
Jan Wk van den BergDepartment of Pulmonology, Isala Hospital, Dr. van Heesweg 2, Zwolle, 8025 AB, the Netherlands.
Pim A de JongDepartment of Radiology, University Medical Centre Utrecht, Heidelberglaan 100, Utrecht, 3584 CX, the Netherlands.
Martijn F BoomsmaDepartment of Radiology, Isala Hospital, Dr. van Heesweg 2, Zwolle, 8025 AB, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate whether a higher image noise reduction improves the diagnostic accuracy of Computer-Aided Detection (CAD) software to detect pulmonary embolism (PE) on CT pulmonary angiography (CTPA).

methodsWe retrospectively included 238 consecutive CTPAs of patients with suspected PE obtained between 01/09/2014 and 06/03/2014. Hybrid iterative reconstruction (HIR) was performed using either iDose

resultsIn total, 110 scans made use of iDose

conclusionCAD software produced significantly fewer FP PE markers in images with higher CNR, reconstructed using a higher noise-reduction setting. The noise reduction level 4 images had significantly higher CNR values, indicating that image quality has a substantial impact on the performance of CAD software.

Indexed as

Computed Tomography AngiographyPulmonary EmbolismRadiographic Image Interpretation, Computer-AssistedAgedContrast MediaFemaleHumansMaleMiddle AgedRetrospective StudiesSensitivity and SpecificitySoftwareContrast MediaComputed Tomography AngiographyComputer-aided DetectionPulmonary EmbolismRetrospective Studies

Identifiers

What OpenQuestion holds

Textmetadata
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.