Evidence map›Paper›PMID 33544242›Full record

ArticleThe international journal of cardiovascular imaging2021

Use of radiomics to differentiate left atrial appendage thrombi and mixing artifacts on single-phase CT angiography.

Shadi Ebrahimian, Subba R Digumarthy, Fatemeh Homayounieh, Andrew Primak, Felix Lades, Sandeep Hedgire, Mannudeep K Kalra

Open access · bronzeAbstract read
In one paragraph

Article in The international journal of cardiovascular imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 31% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

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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

7 authors at 4 institutions in 2 countries.

Shadi EbrahimianDepartment of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Subba R DigumarthyDepartment of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Fatemeh HomayouniehDepartment of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Andrew PrimakSiemens Medical Solutions USA Inc., Malvern, PA, 19355, USA.
Felix LadesSiemens Healthineers, Forchheim, Germany.
Sandeep HedgireDepartment of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Mannudeep K KalraDepartment of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA. mkalra@mgh.harvard.edu.
Massachusetts General Hospital · USHarvard University · USSiemens Healthcare (Germany) · DESiemens Healthcare (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To assess if radiomics can differentiate left atrial appendage (LAA) contrast-mixing artifacts and thrombi on early-phase CT angiography without the need for late-phase images. Our study included 111 patients who underwent early- and late-phase, contrast-enhanced cardiac CT. Of these, 79 patients had LAA filling defects from thrombus (n = 46, mean age: 72  ±  12 years, M:F 26:20) or contrast-mixing artifact (n = 33, mean age: 71  ±  13 years, M:F 21:12) on early-contrast-enhanced phase. The remaining 32 patients (mean age: 66  ±  10 years, M:F 19:13) had homogeneous LAA opacification without filling defects. The entire LAA volume on early-phase CT images was manually segmented to obtain radiomic features (Frontier, Siemens). A radiologist assessed for the presence of LAA filling defects and recorded the size and mean CT attenuation (HU) of filling defects and normal LAA. The data were analyzed using multiple logistic regression with receiver operating characteristics area under the curve (AUC) as an output. The radiologist correctly identified all 32 patients without LAA filling defects, 42/46 LAA with thrombi, and 23/33 contrast mixing artifacts. Although HU of LAA thrombi and contrast mixing artifacts was significantly different, with the lowest AUC (0.66), it was inferior to both radiologist assessment and radiomics (p = 0.05). Combination of radiologist assessment and radiomics (AUC 0.92) was superior to HU (0.66), radiomics (0.85), and radiologist (0.80) alone (p < 0.008). Radiomics can differentiate between LAA filling defects from thrombi and contrast mixing artifacts on early-phase contrast-enhanced CT images without the need for late-phase CT.

Indexed as

Atrial AppendageAtrial FibrillationThrombosisAgedArtifactsComputed Tomography AngiographyEchocardiography, TransesophagealHumansPredictive Value of TestsCTLeft atrial appendageMixing artifactRadiomicsThrombus

Identifiers

PMID33544242
PMCPMC7863854
OpenAlexW3126157231

What OpenQuestion holds

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Registered trials

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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.