AORTA Pub Date : 2022-08-01 DOI: 10.1055/s-0042-1750413

Kay-Hyun Park

引用次数: 0

Thoracic Aortic Aneurysm Surgery: DON'T QUIT-JUST DO IT. 胸主动脉瘤手术:不要放弃，只管去做。

AORTA Pub Date : 2022-08-01 DOI: 10.1055/s-0042-1750098

Vicente Orozco-Sevilla, Ginger Etheridge, Joseph S Coselli

引用次数: 0

Open Thoracoabdominal Aortic Procedures following Endovascular Intervention. 血管内介入后开胸腹主动脉手术。

AORTA Pub Date : 2022-08-01 Epub Date: 2022-12-15 DOI: 10.1055/s-0042-1750117

Andrea Melloni, Andrea Kahlberg, Enrico Rinaldi, Victor Bilman, Nicola Favia, Germano Melissano, Roberto Chiesa

引用次数: 2

Risk Prediction Models for Management of Patients following Acute Aortic Dissection. 急性主动脉夹层患者处理的风险预测模型。

AORTA Pub Date : 2022-08-01 DOI: 10.1055/s-0042-1756671

Wahaj Munir, Mohamad Bashir, Mohammed Idhrees, Wael I Awad

{"title":"Risk Prediction Models for Management of Patients following Acute Aortic Dissection.","authors":"Wahaj Munir, Mohamad Bashir, Mohammed Idhrees, Wael I Awad","doi":"10.1055/s-0042-1756671","DOIUrl":"https://doi.org/10.1055/s-0042-1756671","url":null,"abstract":"<p><p>Risk prediction of adverse outcomes post aortic dissection is dependet not only on the postdissection-associated clinical factors but on the very foundation of the risk factors that lead up to the dissection itself. There are various such risk factors existing prior to the dissection which impact the postdissection outcomes. In this paper, we review the literature to critically analyze various risk models, burdened by their significant limitations, that attempt to stratify risk prediction based on postdissection patient characteristics. We further review several studies across the literature that investigate the diverse set of predissection risk factors impacting postdissection outcomes. We have discussed and appraised numerous studies which attempt to develop a tool to stratify risk prediction by incorporating the impacts of different factors: malperfusion, blood biochemistry, and perioperative outcomes. The well-validated Penn classification has clearly demonstrated in the literature the significant impact that malperfusion has on adverse outcomes postdissection. Other risk models, already severely hindered by their limitations, lack such validation. We further discuss additional alluded risk factors, including the impact of predissection aortic size, the syndromic and nonsyndromic natures of dissection, and the effects of family history and genetics, which collectively contribute to the risk of adverse outcomes postdissection and prognosis. To achieve the goal of a true risk model, there remains the vital need for appreciation and appropriate consideration for all such aforementioned factors, from before and after the dissection, as discussed in this paper. By being able to incorporate the value of true risk prediction for a patient into the decision-making framework, it will allow a new page of precision medical decision-making to be written.</p>","PeriodicalId":52392,"journal":{"name":"AORTA","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9754882/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10367712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Atherosclerotic Plaque Characterization Using Deep Learning Methods 使用深度学习方法表征动脉粥样硬化斑块

AORTA Pub Date : 2022-06-01 DOI: 10.1055/s-0042-1750994

Branko Arsić, Smiljana Tomasevic, Miloš Anić, Branko Gakovic, I. Končar, Nenad D Filipović