Radiomic Phenotype of Periatrial Adipose Tissue in the Prognosis of Late Postablation Recurrence of Idiopathic Atrial Fibrillation

Q: What are the key findings of this study?

The radiomic feature Size Zone Non Uniformity Normalized of periatrial adipose tissue independently predicted atrial fibrillation recurrence 12 months after catheter ablation (OR 0.506).

Q: What is the clinical evidence from this study?

Study design: Cohort. Population: Lone atrial fibrillation (n=43). Intervention: Radiomic analysis of periatrial adipose tissue. Primary outcome: Postablation atrial fibrillation recurrence (OR 0.506, 95% CI 0.331-0.776, p=<0.001).

Q: What does this research mean for the field?

The radiomic feature Size Zone Non Uniformity Normalized of periatrial adipose tissue independently predicts atrial fibrillation recurrence 12 months after catheter ablation. Novelty: ClaimNovelty.NOVEL_FINDING. Consensus alignment: ConsensusAlignment.NEUTRAL.

J.N. Ilyushenkova; S.I. Sazonova; E.V. Popov; Р. Е. Баталов; S.M. Minin; A.B. Romanov

doi:10.17691/stm2023.15.2.05

April 28, 2023Sovremennye tehnologii v medicineOpen Access

Radiomic Phenotype of Periatrial Adipose Tissue in the Prognosis of Late Postablation Recurrence of Idiopathic Atrial Fibrillation

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Key result

A periatrial adipose tissue radiomic feature predicts ~49% lower AF recurrence 12 months post-ablation.

OR 0.506
95% CI 0.331-0.776
P<0.001
n=43

Figures

Why the study?

The study sought to find new predictors of postablation AF recurrence in patients with lone AF using texture analysis of left atrial periatrial adipose tissue.

Does radiomic analysis of periatrial adipose tissue predict late postablation recurrence of atrial fibrillation in patients with lone AF?

Study Design

Type

Cohort (n=43)

Multicenter

No

Structured PICO

Does radiomic analysis of periatrial adipose tissue predict late postablation recurrence of atrial fibrillation in patients with lone AF?

P

Population

43 patients (35 men, 8 women) aged 18-60 years with lone atrial fibrillation (paroxysmal, persistent, or long-standing persistent) referred for catheter ablation. Exclusions included hypertension, hypercholesterolemia, coronary heart disease, heart failure (EF < 50%), peripheral vessel diseases, valvulopathy, diabetes, thyroid, and urinary system pathology.

I

Intervention

Radiomic texture analysis of periatrial adipose tissue (PAAT) using non-enhanced ECG-synchronized CT scans (Ca-scoring series) prior to catheter ablation.

O

Outcome

Atrial fibrillation recurrence (episodes of AF rhythm lasting more than 30 s on Holter ECG) within the period from 3 to 12 months after ablation.

Main Result

Effect estimate: OR 0.506 (95% CI 0.331-0.776)

p-value: p=<0.001

Limitations

Single-center prospective cohort study of a small sample does not exclude systematic selection error.
Small sample size precluded the use of advanced machine learning and artificial intelligence algorithms.
Lack of supporting data from biochemical markers of inflammation, intracardiac electrophysiological testing, and histological investigation.
Single-center prospective cohort study of a small sample
Did not use advanced algorithms of machine learning and artificial intelligence due to small sample size
Lack of data on the level of biochemical markers of inflammation (hs-CRP and interleukin 6)

Implication

Radiomic analysis of periatrial adipose tissue, specifically the Size Zone Non Uniformity Normalized feature, can independently predict late recurrence of atrial fibrillation after catheter ablation.

Abstract

is to find new predictors of postablation atrial fibrillation (AF) recurrence in patients with lone AF using a texture analysis of the periatrial adipose tissue (PAAT) of the left atrium. Materials and Methods: Forty-three patients admitted for lone AF catheter ablation, who had undergone multispiral coronary angiography, were enrolled in the study. PAAT segmentation was performed using 3D Slicer application followed by extraction of 93 radiomic features. At the end of the follow-up period, patients were divided into 2 groups depending on the presence or absence of AF recurrence. Results: =0.451, OR - 0.506, 95% CI: 0.331‒0.776, p<0.001). Conclusion: The radiomic analysis of periatrial adipose tissue may be considered as a promising non-invasive method for predicting adverse outcomes of the catheter treatment, which opens the possibilities for planning and correction of patient management tactics after intervention.

Discussion

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Cite This Study

Ilyushenkova et al. (2023) conducted a cohort in Lone atrial fibrillation (n=43). Radiomic analysis of periatrial adipose tissue was evaluated on Postablation atrial fibrillation recurrence (OR 0.506, 95% CI 0.331-0.776, p=<0.001). The radiomic feature Size Zone Non Uniformity Normalized of periatrial adipose tissue independently predicted atrial fibrillation recurrence 12 months after catheter ablation (OR 0.506).

synapsesocial.com/papers/6a16e01a66334ab13b056d72 https://doi.org/10.17691/stm2023.15.2.05

Topics

Atrial fibrillation

Persistent AF management

AF ablation outcomes

Anticoagulation in AF

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Radiomic Phenotype of Periatrial Adipose Tissue in the Prognosis of Late Postablation Recurrence of Idiopathic Atrial Fibrillation

Figures

Study Design

Structured PICO

Main Result

Limitations

Implication

Abstract

Discussion

Cite This Study

Topics

Radiomic Phenotype of Periatrial Adipose Tissue in the Prognosis of Late Postablation Recurrence of Idiopathic Atrial Fibrillation

Figures

Study Design

Structured PICO

Main Result

Limitations

Implication

Abstract

Discussion

Cite This Study

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Topics

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