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3 | Almost 3% of the people worldwide are affected by aneurysms, with cerebral aneurysms being particularly prevalent. Rupture of an aneurysm can result in hemorrhagic stroke, which has high mortality and morbidity rates. Early detection and management of aneurysms are crucial in preventing rupture and minimizing associated risks. |
3 | Almost 3% of the people worldwide are affected by aneurysms, with cerebral aneurysms being particularly prevalent. Rupture of an aneurysm can result in hemorrhagic stroke, which has high mortality and morbidity rates. Early detection and management of aneurysms are crucial in preventing rupture and minimizing associated risks. |
4 | The dataset provided contains PHI (Protected Health Information) of 100 patients suffering from aneurysms, with information on various morphological and hemodynamic features. |
4 | The dataset provided contains PHI (Protected Health Information) of 100 patients suffering from aneurysms, with information on various morphological and hemodynamic features. |
5 | 5 | ||
6 | **‼️ Note 🗒️: Patients with multiple aneurysms have their case_id suffixed by alphabets. [For Example C1234a and C1234b are the same patient (C1234) with 2 aneurysms.]** |
6 | **‼️ Note 🗒️: Patients with multiple aneurysms have their case_id suffixed by alphabets. [For Example C1234a and C1234b are the same patient (C1234) with 2 aneurysms.]** |
7 | 7 | ||
8 | ***Columns:*** |
8 | **Columns:** |
9 | 9 | ||
10 | case_id: Unique identifier for each case |
10 | case_id: Unique identifier for each case |
11 | patient_id: Unique identifier for each patient |
11 | patient_id: Unique identifier for each patient |
12 | aneurysmLocation: Location of the aneurysm within the body |
12 | aneurysmLocation: Location of the aneurysm within the body |
13 | aneurysmType: Type of aneurysm |
13 | aneurysmType: Type of aneurysm |
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16 | sex: Gender of the patient |
16 | sex: Gender of the patient |
17 | multipleAneurysms: Indicates whether the patient has multiple aneurysms |
17 | multipleAneurysms: Indicates whether the patient has multiple aneurysms |
18 | 18 | ||
19 | 19 | ||
20 | 20 | ||
21 | *Hemodynamic Features (combined into a single line):* |
21 | **Hemodynamic Features (combined into a single line):** |
22 | 22 | ||
23 | sacVolume, sacSurfaceArea, vdcVolume, vdcSurfaceArea, sacSectionArea, ellipsoidVolume, ellipsoidMaxSemiaxis, ellipsoidMidSemiaxis, ellipsoidMinSemiaxis, sacCenterlineLength, ostiumSectionArea, ostiumSectionPerimeter, ostiumMinSize, ostiumMaxSize, ostiumShapeFactor, aspectRatio_star, sizeRatio_star, vesselDiameter, neckVesselAngle, sacVesselAngle, sacMinPressure, sacMaxPressure, sacMeanPressure, sacMaxSpeed, sacMeanSpeed, sacMinTAWSS, sacMaxTAWSS, sacMeanTAWSS, sacMinOSI, sacMaxOSI, sacMeanOSI |
23 | sacVolume, sacSurfaceArea, vdcVolume, vdcSurfaceArea, sacSectionArea, ellipsoidVolume, ellipsoidMaxSemiaxis, ellipsoidMidSemiaxis, ellipsoidMinSemiaxis, sacCenterlineLength, ostiumSectionArea, ostiumSectionPerimeter, ostiumMinSize, ostiumMaxSize, ostiumShapeFactor, aspectRatio_star, sizeRatio_star, vesselDiameter, neckVesselAngle, sacVesselAngle, sacMinPressure, sacMaxPressure, sacMeanPressure, sacMaxSpeed, sacMeanSpeed, sacMinTAWSS, sacMaxTAWSS, sacMeanTAWSS, sacMinOSI, sacMaxOSI, sacMeanOSI |
24 | 24 | ||
25 | 25 | ||
26 | 26 | ||
27 | *Morphological Features (combined into a single line):* |
27 | **Morphological Features (combined into a single line):** |
28 | vesselName, length, meanRadius, meanCurvature, meanTorsion, tortuosity, minRadius, maxRadius, maxCurvature, maxTorsion, bifurcationAngleInPlane, bifurcationAngleOutOfPlane, minPressure, maxPressure, meanPressure, maxSpeed, meanSpeed, minTAWSS, maxTAWSS, meanTAWSS, minOSI, maxOSI, meanOSI |
28 | vesselName, length, meanRadius, meanCurvature, meanTorsion, tortuosity, minRadius, maxRadius, maxCurvature, maxTorsion, bifurcationAngleInPlane, bifurcationAngleOutOfPlane, minPressure, maxPressure, meanPressure, maxSpeed, meanSpeed, minTAWSS, maxTAWSS, meanTAWSS, minOSI, maxOSI, meanOSI |
29 | 29 | ||
30 | 30 | ||
31 | This dataset can be valuable for research and analysis aimed at understanding the characteristics and risk factors associated with different types of aneurysms and their rupture status. Additionally, it can contribute to the development of predictive models and treatment strategies for patients with aneurysms. |
31 | This dataset can be valuable for research and analysis aimed at understanding the characteristics and risk factors associated with different types of aneurysms and their rupture status. Additionally, it can contribute to the development of predictive models and treatment strategies for patients with aneurysms. |
32 | 32 |