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CTA-Based Radiomics and Area Change Rate Predict Infrarenal Abdominal Aortic Aneurysms Patients Events: A Multicenter Study.
Wang, Ying; Liu, Fangyuan; Wu, Siyu; Sun, Kui; Gu, Hui; Wang, Ximing.
Afiliação
  • Wang Y; Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jing Wu Road, No. 324, Jinan 250021, China; School of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian 271016, China.
  • Liu F; Department of Radiology, Shandong Provincial Hospital, Shandong University, Jing Wu Road, No. 324, Jinan 250021, China.
  • Wu S; Department of Radiology, Shandong Provincial Hospital, Shandong University, Jing Wu Road, No. 324, Jinan 250021, China.
  • Sun K; Department of General Surgery, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing 100191, China. Electronic address: sksunkui@163.com.
  • Gu H; Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jing Wu Road, No. 324, Jinan 250021, China. Electronic address: hui_gu07@126.com.
  • Wang X; Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jing Wu Road, No. 324, Jinan 250021, China. Electronic address: wxming369@163.com.
Acad Radiol ; 2024 Feb 01.
Article em En | MEDLINE | ID: mdl-38307789
ABSTRACT
RATIONALE AND

OBJECTIVES:

Clinical assessment of abdominal aortic aneurysm (AAA) intervention and rupture risk relies primarily on maximum diameter, but studies have shown that sole dependence on diameter has limitations. CTA-based radiomics, aneurysm and lumen area change rates (AACR, LACR) are measured to predict potential AAA events. MATERIALS AND

METHODS:

Between January 2017 and November 2022, 260 AAA patients from four centers who underwent two preoperative CTA examinations were included in this retrospective study. The endpoint event is defined as AAA rupture or repair. Patients were categorized into event and no-event groups based on the occurrence of endpoint event during follow-up. AACR and LACR were assessed using baseline and follow-up CTA, with radiomics features extracted from the baseline images. C-statistics and the Kaplan-Meier analysis were used to evaluate the predictive performance.

RESULTS:

A total of 193 eligible infrarenal AAA patients were included, 176 (91.2%) were man and 17 (8.8%) were woman. The median follow-up was 33.4 (14.2, 57.4) months. Seven models were constructed, comprising the aneurysm-based Radscore model, lumen-based Radscore model, intraluminal thrombus (ILT)-based Radscore model, AACR model, LACR model, clinical model (including high-density lipoprotein, D-dimer, and baseline aneurysm diameter), and a merged model. On the external validation set, the C-index of seven models were 0.713 (0.574-0.853), 0.642 (0.499-0.786), 0.727 (0.600-0.854), 0.619 (0.484-0.753), 0.680 (0.530-0.830), 0.690 (0.557-0.824) and 0.760 (0.651-0.869), in that order. In the Kaplan-Meier analysis, the merged model was best-divided patients into high/low-risk groups with Log-rank p < 0.0001. The AARC and LARC between non-event and event groups have significant differences (AACR 1.4 cm2/y vs. 2.3 cm2/y, p < 0.0001; LACR 0.3 cm2/y vs. 1.1 cm2/y, p < 0.0001).

CONCLUSION:

CTA-based radiomics, AACR and LACR have good predictive value for outcome event in infrarenal AAA patients.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article