A new machine learning approach for predicting likelihood of recurrence following ablation for atrial fibrillation from CT.
A new machine learning approach for predicting likelihood of recurrence following ablation for atrial fibrillation from CT.
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DOI：
10.1186/s12880-021-00578-4
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发表时间：
2021-03-09
影响因子：
2.7
通讯作者：
Madabhushi A
中科院分区：
文献类型：
--
作者：
Atta-Fosu T;LaBarbera M;Ghose S;Schoenhagen P;Saliba W;Tchou PJ;Lindsay BD;Desai MY;Kwon D;Chung MK;Madabhushi A
研究消融术后复发（AF+）与未复发（AF-）的房颤（AF）患者CT扫描的左心房形状差异，以及这些形状差异是否可预测AF复发。这项回顾性研究包括68名接受导管消融前心脏CT造影扫描的AF患者。AF复发定义为1年，不包括消融后3个月的空白期。在从分割的AF+和AF− CT图像创建心房模型图谱后，使用基于图谱的隐式形状微分方法来识别感兴趣表面（SOI）。在将SOI配准到每个患者模型之后，SOI上的变形的统计数据用于创建形状描述符。使用100次运行的五重交叉验证，比较了使用SOI内外的形状特征和8个临床因素（年龄、性别、左心房容积、左心室射血分数、体重指数、窦性心律和AF类型[持续性vs阵发性]、导管消融类型[冷冻消融vs灌注射频]）预测AF复发的性能。在肺静脉口周围和左心耳底部发现心房形状的差异。在预测AF复发时，SOI形状特征的受试者工作特征曲线下面积（AUC）为0.67，SOI外形状特征的AUC为0.58，临床参数的AUC为0.71，形状和临床特征的AUC为0.78。使用术前CT扫描确定AF复发和非复发患者之间左心房形状的差异。发现与形状差异相对应的新放射学特征可预测消融后AF复发。
To investigate left atrial shape differences on CT scans of atrial fibrillation (AF) patients with (AF+) versus without (AF−) post-ablation recurrence and whether these shape differences predict AF recurrence. This retrospective study included 68 AF patients who had pre-catheter ablation cardiac CT scans with contrast. AF recurrence was defined at 1 year, excluding a 3-month post-ablation blanking period. After creating atlases of atrial models from segmented AF+ and AF− CT images, an atlas-based implicit shape differentiation method was used to identify surface of interest (SOI). After registering the SOI to each patient model, statistics of the deformation on the SOI were used to create shape descriptors. The performance in predicting AF recurrence using shape features at and outside the SOI and eight clinical factors (age, sex, left atrial volume, left ventricular ejection fraction, body mass index, sinus rhythm, and AF type [persistent vs paroxysmal], catheter-ablation type [Cryoablation vs Irrigated RF]) were compared using 100 runs of fivefold cross validation. Differences in atrial shape were found surrounding the pulmonary vein ostia and the base of the left atrial appendage. In the prediction of AF recurrence, the area under the receiver-operating characteristics curve (AUC) was 0.67 for shape features from the SOI, 0.58 for shape features outside the SOI, 0.71 for the clinical parameters, and 0.78 combining shape and clinical features. Differences in left atrial shape were identified between AF recurrent and non-recurrent patients using pre-procedure CT scans. New radiomic features corresponding to the differences in shape were found to predict post-ablation AF recurrence.
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DOI：
10.1111/j.1540-8159.2011.03125.x
发表时间：
2011-10-01
影响因子：
1.8
作者：
Alcaraz, Raul;Hornero, Fernando;Rieta, Jose J.
通讯作者：
Rieta, Jose J.
影响因子：
3.2
作者：
Atta-Fosu, Thomas;Guo, Weihong;Sousa-Neves, Rui
通讯作者：
Sousa-Neves, Rui
影响因子：
39.3
作者：
Berruezo, Antonio;Tamborero, David;Brugada, Josep
通讯作者：
Brugada, Josep
影响因子：
37.8
作者：
BOYDEN, PA;TILLEY, LP;WIT, AL
通讯作者：
WIT, AL
DOI：
10.5114/aoms.2015.48284
发表时间：
2016-02-01
期刊：
Archives of medical science : AMS
影响因子：
--
作者：
Kiliszek M;Kozluk E;Franaszczyk M;Lodzinski P;Piatkowska A;Ploski R;Opolski G
通讯作者：
Opolski G