A machine learning approach for predicting descending thoracic aortic diameter.

Ronghuang Yu,Min Jin,Yaohui Wang, Xiujuan Cai, Keyin Zhang, Jian Shi,Zeyi Zhou,Fudong Fan,Jun Pan,Qing Zhou,Xinlong Tang,Dongjin Wang

Frontiers in cardiovascular medicine（2023）

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摘要

The predictive models established by machine learning revealed the relationship between basic characteristics and diameters of different segment of descending aorta, which help to provide evidence for selecting the matching distal size of the stent for TBAD patients, thereby reducing the incidence of TEVAR complications.

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关键词

CTA,TEVAR,aortic diameter,machine learning,predictive model

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