Prediction of Progression or Regression of Type A Aortic Intramural Hematoma by Computed Tomography

Circulation ◽  
1999 ◽  
Vol 100 (suppl_2) ◽  
Author(s):  
Shuichiro Kaji ◽  
Kazuhiro Nishigami ◽  
Takashi Akasaka ◽  
Takeshi Hozumi ◽  
Tsutomu Takagi ◽  
...  

Background —It has been reported that early surgery should be required for patients with type A aortic intramural hematoma (IMH) because it tends to develop classic aortic dissection or rupture. However, the anatomic features of type A IMH that develops dissection or rupture are unknown. The purpose of this study was to investigate the predictors of progression or regression of type A IMH by computed tomography (CT). Methods and Results —Twenty-two consecutive patients with type A IMH were studied by serial CT images. Aortic diameter and aortic wall thickness of the ascending aorta were estimated in CT images at 3 levels on admission and at follow-up (mean 37 days). We defined patients who showed increased maximum aortic wall thickness in the follow-up CT (n=9) or died of rupture (n=1) as the progression group (n=10). The other 12 patients, who all showed decreased maximum wall thickness, were categorized as the regression group. In the progression group, the maximum aortic diameter in the initial CT was significantly greater than that in the regression group (55±6 vs 47±3 mm, P =0.001). A Cox regression analysis revealed that the maximum aortic diameter was the strongest predictor for progression of type A IMH. We considered the optimal cutoff value to be 50 mm for the maximum aortic diameter to predict progression (positive predictive value 83%, negative predictive value 100%). Conclusions —Maximum aortic diameter estimated by the initial CT images is predictive for progression of type A IMH.

2014 ◽  
Vol 73 (Suppl 2) ◽  
pp. 1119.3-1120
Author(s):  
A. Nakhleh ◽  
D. Rimar ◽  
I. Rukhkyan ◽  
V. Wolfson ◽  
I. Rosner ◽  
...  

2015 ◽  
Vol 61 (4) ◽  
pp. 1034-1040 ◽  
Author(s):  
Eric K. Shang ◽  
Eric Lai ◽  
Alison M. Pouch ◽  
Robin Hinmon ◽  
Robert C. Gorman ◽  
...  

Author(s):  
Chia-Ying Liu ◽  
Doris Chen ◽  
Gisela Teixido-Tura ◽  
Colin O Wu ◽  
Atul R Chugh ◽  
...  

2019 ◽  
Vol 12 (3) ◽  
pp. 379-384
Author(s):  
Hidemasa Saito ◽  
Hiromitsu Hayashi ◽  
Tatsuo Ueda ◽  
Takahiko Mine ◽  
Shin-ichiro Kumita

2008 ◽  
Vol 25 (2) ◽  
pp. 209-217 ◽  
Author(s):  
Martin Jeltsch ◽  
Oliver Klass ◽  
Stefan Klein ◽  
Sebastian Feuerlein ◽  
Andrik J. Aschoff ◽  
...  

Circulation ◽  
1999 ◽  
Vol 100 (Supplement 2) ◽  
pp. II-281-II-286 ◽  
Author(s):  
S. Kaji ◽  
K. Nishigami ◽  
T. Akasaka ◽  
T. Hozumi ◽  
T. Takagi ◽  
...  

2015 ◽  
Vol 19 (1) ◽  
pp. 82-86 ◽  
Author(s):  
Gleb Slobodin ◽  
Afif Nakhleh ◽  
Doron Rimar ◽  
Vladimir Wolfson ◽  
Itzhak Rosner ◽  
...  

Author(s):  
Josephina Haunschild ◽  
Sarah Jane Barnard ◽  
Martin Misfeld ◽  
Diyar Saeed ◽  
Piroze Davierwala ◽  
...  

Abstract OBJECTIVES The goal of therapy of proximal aortic aneurysms is to prevent an aortic catastrophe, e.g. acute dissection or rupture. The decision to intervene is currently based on maximum aortic diameter complemented by known risk factors like bicuspid aortic valve, positive family history or rapid growth rate. When applying Laplace’s law, wall tension is determined by pressure × radius divided by aortic wall thickness. Because current imaging modalities lack precision, wall thickness is currently neglected. The purpose of our study was therefore to correlate maximum aortic diameter with aortic wall thickness and known indices for adverse aortic events. METHODS Aortic samples from 292 patients were collected during cardiac surgery, of whom 158 presented with a bicuspid aortic valve and 134, with a tricuspid aortic valve. Aortic specimens were obtained during the operation and stored in 4% formaldehyde. Histological staining and analysis were performed to determine the thickness of the aortic wall. RESULTS Patients were 62 ± 13 years old at the time of the operation; 77% were men. The mean aortic dimensions were 44 mm, 41 mm and 51 mm at the aortic root, sinotubular junction and ascending aorta, respectively. Aortic valve stenosis was the most frequent (49%) valvular dysfunction, followed by aortic valve regurgitation (33%) and combined dysfunction (10%). The maximum aortic diameter at the ascending level did not correlate with the thickness of the media (R = 0.07) or the intima (R = 0.28) at the convex sample site. There was also no correlation of the ascending aortic diameter with age (R = −0.18) or body surface area (R = 0.07). The thickness of the intima (r = 0.31) and the media (R = 0.035) did not correlate with the Svensson index of aortic risk. Similarly, there was a low (R = 0.29) or absent (R = −0.04) correlation between the aortic size index and the intima or media thickness, respectively. There was a similar relationship of median thickness of the intima in the 4 aortic height index risk categories (P < 0.001). CONCLUSIONS Aortic diameter and conventional indices of aortic risk do not correlate with aortic wall thickness. Other indices may be required in order to identify patients at high risk for aortic complications.


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