scholarly journals Semiautomatic carotid intraplaque hemorrhage volume measurement using 3D carotid MRI

2019 ◽  
Vol 50 (4) ◽  
pp. 1055-1062 ◽  
Author(s):  
Jin Liu ◽  
Jie Sun ◽  
Niranjan Balu ◽  
Marina S. Ferguson ◽  
Jinnan Wang ◽  
...  
Keyword(s):  
Volume Measurement ◽  
Intraplaque Hemorrhage ◽  
Carotid Mri ◽  
Hemorrhage Volume

Identifying a high risk cardiovascular phenotype by carotid MRI-depicted intraplaque hemorrhage

2013 ◽  
Vol 29 (7) ◽  
pp. 1477-1483 ◽  
Author(s):  
Navneet Singh ◽  
Alan R. Moody ◽  
Geneviéve Rochon-Terry ◽  
Alexander Kiss ◽  
Anna Zavodni
Keyword(s):  
High Risk ◽  
Intraplaque Hemorrhage ◽  
Carotid Mri

scholarly journals Carotid Intraplaque-Hemorrhage Volume and Its Association with Cerebrovascular Events

2019 ◽  
Author(s):  
L. Saba ◽  
G. Micheletti ◽  
W. Brinjikji ◽  
P. Garofalo ◽  
R. Montisci ◽  
...  
Keyword(s):  
Intraplaque Hemorrhage ◽  
Cerebrovascular Events ◽  
Hemorrhage Volume

Abstract 98: Bilateral Carotid Intraplaque Hemorrhage Association With Simultaneous Bilateral Stroke

Stroke ◽  
2016 ◽  
Vol 47 (suppl_1) ◽  
Author(s):  
Michael McLaughlin ◽  
Seong-Eun Kim ◽  
Gerald Treiman ◽  
Dennis Parker ◽  
Joseph S McNally
Keyword(s):  
Predictive Value ◽  
Brain Mri ◽  
Area Under The Curve ◽  
Cross Sectional Study ◽  
Intraplaque Hemorrhage ◽  
Imaging Findings ◽  
Cross Sectional ◽  
Carotid Mri ◽  
Bilateral Carotid ◽  
Better Than

Introduction: Bilateral ischemic strokes are often attributed to central or cardiac embolic sources, especially in the absence of severe bilateral carotid stenosis. Carotid MRI detects carotid intraplaque hemorrhage (IPH), a marker of stroke risk independent of stenosis. Hypothesis: MRI-detected carotid IPH better identifies bilateral carotid source strokes compared to stenosis alone. Methods: In this retrospective cross sectional study, patients undergoing stroke workup were imaged with carotid and brain MRI. Stroke was determined by the AHA definition of CNS infarction. Patients with non-carotid stroke sources (e.g. cardiac sources), occluded or near-occluded carotids were excluded. A total of 425 patients were analyzed. Carotid imaging findings were recorded, including IPH and NASCET stenosis along with clinical cerebrovascular risk factors and medications. Receiver operating characteristic (ROC) analysis was performed to determine the predictive value (area under the curve, AUC) of carotid imaging findings. Results: Carotid IPH was present in 89/425 of cases, and was bilateral in 24/89 (27.0%). Bilateral carotid IPH was a good predictor of bilateral stroke (AUC=.808), performing better than bilateral stenosis with ≥50%, ≥60% or ≥70% cutoffs (AUC=.565 p=.001, AUC=.550 p<.001, AUC=.523 p<.001, respectively) but not significantly better than average bilateral stenosis (AUC=.800 p=.90). The combined predictive value of bilateral IPH and average bilateral stenosis was excellent (AUC=.891) and performed better than bilateral IPH alone (p=.07) or average bilateral stenosis alone (p=.002). Conclusions: Bilateral carotid IPH is associated with bilateral stroke, and adds significant discrimination of bilateral carotid stroke sources compared to stenosis. In the setting of bilateral stroke, carotid MRI may help uncover potential stroke sources undetected by lumen imaging alone.

scholarly journals Intracerebral hemorrhage volume measurement.

Stroke ◽  
1994 ◽  
Vol 25 (5) ◽  
pp. 1081-1081 ◽  
Author(s):  
J P Broderick ◽  
T G Brott ◽  
J C Grotta
Keyword(s):  
Intracerebral Hemorrhage ◽  
Volume Measurement ◽  
Hemorrhage Volume

scholarly journals Carotid MRI Detection of Intraplaque Hemorrhage at 3T and 1.5T

2014 ◽  
Vol 25 (3) ◽  
pp. 390-396 ◽  
Author(s):  
J. Scott McNally ◽  
Hyo-Chun Yoon ◽  
Seong-Eun Kim ◽  
Krishna K. Narra ◽  
Michael S. McLaughlin ◽  
...  
Keyword(s):  
Intraplaque Hemorrhage ◽  
Carotid Mri

Abstract TP134: Carotid Endarterectomy for Symptomatic Low-grade Stenosis Refractory to Medical Treatment

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Kazumichi Yoshida
Keyword(s):  
Medical Treatment ◽  
Carotid Endarterectomy ◽  
Intraplaque Hemorrhage ◽  
Low Grade ◽  
High Grade ◽  
Long Term Outcomes ◽  
Diffusion Weighted Images ◽  
Stenosis Rate ◽  
Carotid Mri

Background and purpose: Several large multicenter trials have demonstrated that carotid endarterectomy (CEA) benefits patients with symptomatic moderate-to-high-grade carotid stenosis (CS), but not those with low-grade CS. Accumulating evidence from vascular biology studies indicates that plaque stability in addition to stenosis rate considerably impacts risk for ischemic events. The present study aimed to determine the characteristics of symptomatic low-grade CS that was refractory to medical treatment and confirm the safety and efficacy of CEA. Methods: We studied 61 (male, n = 54; mean age, 71.0 ± 6.5 years) consecutive patients with symptomatic CS who underwent CEA. The patients’ characteristics, preoperative carotid MRI plaque imaging findings, and short- and long-term outcomes after CEA were compared between those with low-grade CS (< 50%, n = 17) and those with moderate-to-high grade CS (≥ 50%, n = 44). Plaque excised from patients with low-grade CS was also histologically assessed. We considered CEA to treat low-grade CS when recurrence was refractory to aggressive medical approaches. Results: The characteristics did not significantly differ between patients with low-grade and moderate-to-high-grade CS. The degree to which MRI detected intraplaque hemorrhage was significantly higher (P = 0.04) and the extent of expansive arterial remodeling tended to be higher (P = 0.18) in patients with low-grade CS. Intraplaque hemorrhage was confirmed in all 17 excised plaques from patients with low-grade CS and in 15 ruptured fibrous caps and two erosions. Short-term outcomes, including the rate of internal shunt deployment under selective use based on intraoperative monitoring and new ischemic lesions after CEA on postoperative diffusion weighted images, as well as long term outcomes did not significantly differ between the groups. Conclusions: CEA was safe and effective for symptomatic low-grade CS that was refractory to aggressive medical treatment. Plaque characterization by MRI has the potential to provide more accurate stroke risk stratification for the management of low-grade CS.

scholarly journals Efficiency of a deep learning-based artificial intelligence diagnostic system in spontaneous intracerebral hemorrhage volume measurement

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Tao Wang ◽  
Na Song ◽  
Lingling Liu ◽  
Zichao Zhu ◽  
Bing Chen ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Deep Learning ◽  
Intracerebral Hemorrhage ◽  
Diagnostic System ◽  
Absolute Error ◽  
Volume Measurement ◽  
Spontaneous Intracerebral Hemorrhage ◽  
Promising Tool ◽  
Hemorrhage Volume ◽  
Prediction Of Prognosis

Abstract Background Accurate measurement of hemorrhage volume is critical for both the prediction of prognosis and the selection of appropriate clinical treatment after spontaneous intracerebral hemorrhage (ICH). This study aimed to evaluate the performance and accuracy of a deep learning-based automated segmentation algorithm in segmenting spontaneous intracerebral hemorrhage (ICH) volume either with or without intraventricular hemorrhage (IVH) extension. We compared this automated pipeline with two manual segmentation techniques. Methods We retrospectively reviewed 105 patients with acute spontaneous ICH. Depending on the presence of IVH extension, patients were divided into two groups: ICH without (n = 56) and with IVH (n = 49). ICH volume of the two groups were segmented and measured using a deep learning-based artificial intelligence (AI) diagnostic system and computed tomography-based planimetry (CTP), and the ABC/2 score were used to measure hemorrhage volume in the ICH without IVH group. Correlations and agreement analyses were used to analyze the differences in volume and length of processing time among the three segmentation approaches. Results In the ICH without IVH group, the ICH volumes measured using AI and the ABC/2 score were comparable to CTP segmentation. Strong correlations were observed among the three segmentation methods (r = 0.994, 0.976, 0.974; P < 0.001; concordance correlation coefficient [CCC] = 0.993, 0.968, 0.967). But the absolute error of the ICH volume measured by the ABC/2 score was greater than that of the algorithm (P < 0.05). In the ICH with IVH group, there is no significant differences were found between algorithm and CTP(P = 0.614). The correlation and agreement between CTP and AI were strong (r = 0.996, P < 0.001; CCC = 0.996). The AI segmentation took a significantly shorter amount of time than CTP (P < 0.001), but was slightly longer than ABC/2 score technique (P = 0.002). Conclusions The deep learning-based AI diagnostic system accurately quantified volumes of acute spontaneous ICH with high fidelity and greater efficiency compared to the CTP measurement and more accurately than the ABC/2 scores. We believe this is a promising tool to help physicians achieve precise ICH quantification in practice.

Dynamic change of carotid intraplaque hemorrhage volume in subjects with mild carotid stenosis

2018 ◽  
Vol 105 ◽  
pp. 15-19 ◽  
Author(s):  
Sangheon Kim ◽  
Hyo Sung Kwak ◽  
Seung Bae Hwang ◽  
Gyung-Ho Chung
Keyword(s):  
Carotid Stenosis ◽  
Dynamic Change ◽  
Intraplaque Hemorrhage ◽  
Hemorrhage Volume

Placental volume measurement by 3D-ultrasound in the first trimester and prediction of fetal growth

2008 ◽  
Vol 68 (S 01) ◽  
Author(s):  
B Meurer ◽  
B Meurer ◽  
N Dinkel ◽  
N Hart ◽  
J Siemer ◽  
...  
Keyword(s):  
Fetal Growth ◽  
First Trimester ◽  
3D Ultrasound ◽  
Volume Measurement ◽  
Placental Volume
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