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Congress: ECR25
Poster Number: C-27628
Type: Poster: EPOS Radiologist (scientific)
Authorblock: N. S. Zahran, I. O. Akanbi, S. Mirsadraee; London/UK
Disclosures:
Nahla Soliman Zahran: Nothing to disclose
Isaac Olukayode Akanbi: Nothing to disclose
Saeed Mirsadraee: Nothing to disclose
Keywords: Arteries / Aorta, Cardiovascular system, CT, CT-Angiography, MR, Biopsy, Complications, Diagnostic procedure, Statistics, Surgery, Acute, Aneurysms, Arteriosclerosis, Connective tissue disorders, Dilatation, Dissection
Results

A total of 79 individuals were included in the final analysis (Table1)

Table 1: References: Department of Radiology,Royal Brompton and Harefield Hospitals, London, UK 2025.
This comprised 44 Marfan patients, aged 12 to 70 years (average age 33), with 19 females and 25 males, as well as 35 control individuals, aged 24 to 76 years (average age 47), including 12 females and 23 males.

 

The eight measurements are : (Fig.3)

Fig 3: References: Department of Radiology,Royal Brompton and Harefield Hospitals, London, UK 2025.

1.Sinus of Valsalva (SOV) largest diameter “cusp to cusp”2. SOV length “annulus to Sino tubular junction” (STJ)3. Largest diameter of the ascending aorta 4. Ascending aorta length ”annulus to brachiocephalic artery" 5. STJ-hiatus length 6. Thoracic aorta length” annulus to diaphragmatic hiatus” 7. Ascending aorta volume "annulus to brachiocephalic artery"8. Thoracic aorta volume “annulus to diaphragmatic hiatus”

All the absolute measurements were indexed to the body surface area (BSA) and to the height. The difference between most of the measurements in Marfan patients and the normal cohort were statistically of significant difference (P <0.05), except the ascending aorta diameter.

The difference in ascending aorta diameter, both as an absolute value and when indexed to BSA, showed a P-value of <0.05 (Fig.4 and Fig.5)

Fig 4: References: Department of Radiology,Royal Brompton and Harefield Hospitals, London, UK 2025.
Fig 5: References: Department of Radiology,Royal Brompton and Harefield Hospitals, London, UK 2025.
between the two groups. However, when indexed to height, the difference was not statistically significant. (P > 0.05; Fig.6)
Fig 6: References: Department of Radiology,Royal Brompton and Harefield Hospitals, London, UK 2025.

The three most significant parameters for identifying patients at risk of AAE (Acute Aortic Events) are those with the highest AUC (Area Under the Curve) values, as AUC measures the ability to distinguish between patients at risk and those not at risk.

 The top 3 Parameters are : (Tables 2,3 and 4)

Table 2: References: Department of Radiology,Royal Brompton and Harefield Hospitals, London, UK 2025.
Table 3: References: Department of Radiology,Royal Brompton and Harefield Hospitals, London, UK 2025.
Table 4: References: Department of Radiology,Royal Brompton and Harefield Hospitals, London, UK 2025.

  1. SOV(SV) diameter (AUC = 0.958) – Best overall predictor
  2. SOV (SV) length (AUC = 0.911) – Second-best predictor
  3. Ascending Aorta length (Asc Ao length) (AUC = 0.878) – Third-best predictor

These parameters have the highest AUC, sensitivity, specificity, and accuracy, making them the most reliable for identifying AAE risk.

The least statistically significant parameter (Tables 2,3 and 4)

Table 2: References: Department of Radiology,Royal Brompton and Harefield Hospitals, London, UK 2025.
Table 3: References: Department of Radiology,Royal Brompton and Harefield Hospitals, London, UK 2025.
Table 4: References: Department of Radiology,Royal Brompton and Harefield Hospitals, London, UK 2025.
is the Ascending Aortic Diameter (Asc Ao diam) with the lowest AUC (0.655), indicating weaker discriminatory power. Additionally, it has (Table 2):

  • Sensitivity: 0.80 (moderate)
  • Specificity: 0.51 (low)
  • PPV: 67.4 (low)
  • NPV: 66.9 (low)
  • Accuracy: 63.9 (lowest among all parameters)

 

 
GALLERY