Abstract WMP104: Fully Automated Segmentation Algorithm for Volumetric Analysis of Perihematomal Edema After Spontaneous Intracerebral Hemorrhage

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Natasha Ironside ◽  
Ching-Jen Chen ◽  
Simukayi Mutasa ◽  
Justin Sim ◽  
Dale Ding ◽  
...  
Keyword(s):  
Intracerebral Hemorrhage ◽  
Segmentation Algorithm ◽  
Ct Scans ◽  
Training Dataset ◽  
Automated Segmentation ◽  
Spontaneous Intracerebral Hemorrhage ◽  
Similarity Coefficients ◽  
Automated Algorithm ◽  
Segmentation Methods ◽  
Perihematomal Edema

Background: Perihematomal edema (PHE) is a promising marker of secondary injury in patients with spontaneous intracerebral hemorrhage (ICH). It can be challenging to accurately and rapidly quantify. The aims of this study are to derive and internally validate a fully automated segmentation algorithm for volumetric PHE analysis. Methods: Inpatient CT scans of 400 consecutive adults with spontaneous supratentorial ICH enrolled in the Intracerebral Hemorrhage Outcomes Project (2009-2018) were separated into training (n=360) and test (n=40) datasets. A fully automated algorithm was derived from manual segmentations in the training dataset using convolutional neural networks and its performance was compared to manual and semi-automated segmentation methods in the test dataset. Results: The mean volumetric Dice similarity coefficients for the fully automated algorithm were 0.838±0.294 and 0.843±0.293 with manual and semi-automated segmentations as reference standards, respectively. PHE volumes derived from fully automated vs. manual (R 2 =0.959;p<0.001), fully automated vs. semi-automated (R 2 =0.960;p<0.001) and semi-automated vs. manual (R 2 =0.961; p<0.001) methods had strong between group correlations. The fully automated algorithm (mean 18.0±1.8 seconds/scan) quantified PHE volumes at a significantly faster rate than manual (mean 316.4±168.8 seconds/scan; p<0.001) and semi-automated (mean 480.5±295.3 seconds/scan; p<0.001) methods. Conclusions: The fully automated algorithm accurately quantified PHE from CT scans of supratentorial ICH patients with high fidelity and greater efficiency compared with manual and semi-automated segmentation methods.

Abstract 78: Fully Automated Segmentation Algorithm for Hematoma Volumetric Analysis in Spontaneous Intracerebral Hemorrhage

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Natasha Ironside ◽  
Ching-Jen Chen ◽  
Simukayi Mutasa ◽  
Justin Sim ◽  
David Roh ◽  
...  
Keyword(s):  
Intracerebral Hemorrhage ◽  
Volumetric Analysis ◽  
Segmentation Algorithm ◽  
Training Dataset ◽  
Automated Segmentation ◽  
Spontaneous Intracerebral Hemorrhage ◽  
Similarity Coefficients ◽  
Segmentation Methods ◽  
Volume Measurements ◽  
Similar Accuracy

Background and Purpose: Hematoma volume measurements influence prognosis and treatment decisions in patients with spontaneous intracerebral hemorrhage (ICH). The aims of this study are to derive and validate a fully automated segmentation algorithm for ICH volumetric analysis using deep learning methods. Methods: Inpatient computed tomography scans of 300 consecutive adults (age ≥18 years) with spontaneous, supratentorial ICH who were enrolled in the Intracerebral Hemorrhage Outcomes Project (2009-2018) were separated into training (n=260) and test (n=40) datasets. A fully automated segmentation algorithm was derived using convolutional neural networks (CNN), and it was trained on manual segmentations from the training dataset. The algorithm’s performance was assessed against manual and semi-automated segmentation methods in the test dataset. Results: The mean volumetric Dice similarity coefficients for the fully automated segmentation algorithm when tested against manual and semi-automated segmentation methods were 0.894±0.264 and 0.905±0.254, respectively. ICH volumes derived from fully automated vs. manual (R 2 =0.981;p<0.0001), fully automated vs. semi-automated (R 2 =0.978;p<0.0001), and semi-automated vs. manual (R 2 =0.990;p<0001) segmentation methods had strong between-group correlations. The fully automated segmentation algorithm (mean 12.0±2.7 seconds/scan) was significantly faster than both of the manual (mean 201.5±92.2 seconds/scan; p<0.001) and semi-automated (mean 288.58±160.3 seconds/scan; p<0.001) segmentation methods. Conclusions: The fully automated segmentation algorithm quantified hematoma volumes from CT scans of supratentorial ICH patients with similar accuracy and substantially greater efficiency compared with manual and semi-automated segmentation methods.

scholarly journals Fully Automated Segmentation Algorithm for Perihematomal Edema Volumetry After Spontaneous Intracerebral Hemorrhage

Stroke ◽  
2020 ◽  
Vol 51 (3) ◽  
pp. 815-823 ◽  
Author(s):  
Natasha Ironside ◽  
Ching-Jen Chen ◽  
Simukayi Mutasa ◽  
Justin L. Sim ◽  
Dale Ding ◽  
...  
Keyword(s):  
Intracerebral Hemorrhage ◽  
Segmentation Algorithm ◽  
Automated Segmentation ◽  
Spontaneous Intracerebral Hemorrhage ◽  
Perihematomal Edema

scholarly journals Fully Automated Segmentation Algorithm for Hematoma Volumetric Analysis in Spontaneous Intracerebral Hemorrhage

Stroke ◽  
2019 ◽  
Vol 50 (12) ◽  
pp. 3416-3423 ◽  
Author(s):  
Natasha Ironside ◽  
Ching-Jen Chen ◽  
Simukayi Mutasa ◽  
Justin L. Sim ◽  
Saurabh Marfatia ◽  
...  
Keyword(s):  
Intracerebral Hemorrhage ◽  
Volumetric Analysis ◽  
Segmentation Algorithm ◽  
Automated Segmentation ◽  
Spontaneous Intracerebral Hemorrhage

scholarly journals Spreading depolarizations in patients with spontaneous intracerebral hemorrhage: Association with perihematomal edema progression

2016 ◽  
Vol 37 (5) ◽  
pp. 1871-1882 ◽  
Author(s):  
Raimund Helbok ◽  
Alois Josef Schiefecker ◽  
Christian Friberg ◽  
Ronny Beer ◽  
Mario Kofler ◽  
...  
Keyword(s):  
Brain Injury ◽  
Intracerebral Hemorrhage ◽  
Electrode Placement ◽  
Secondary Brain Injury ◽  
Spontaneous Intracerebral Hemorrhage ◽  
Strip Electrode ◽  
Hematoma Evacuation ◽  
Perihematomal Edema ◽  
Pathophysiologic Mechanisms

Pathophysiologic mechanisms of secondary brain injury after intracerebral hemorrhage and in particular mechanisms of perihematomal-edema progression remain incompletely understood. Recently, the role of spreading depolarizations in secondary brain injury was established in ischemic stroke, subarachnoid hemorrhage and traumatic brain injury patients. Its role in intracerebral hemorrhage patients and in particular the association with perihematomal-edema is not known. A total of 27 comatose intracerebral hemorrhage patients in whom hematoma evacuation and subdural electrocorticography was performed were studied prospectively. Hematoma evacuation and subdural strip electrode placement was performed within the first 24 h in 18 patients (67%). Electrocorticography recordings started 3 h after surgery (IQR, 3–5 h) and lasted 157 h (median) per patient and 4876 h in all 27 patients. In 18 patients (67%), a total of 650 spreading depolarizations were observed. Spreading depolarizations were more common in the initial days with a peak incidence on day 2. Median electrocorticography depression time was longer than previously reported (14.7 min, IQR, 9–22 min). Postoperative perihematomal-edema progression (85% of patients) was significantly associated with occurrence of isolated and clustered spreading depolarizations. Monitoring of spreading depolarizations may help to better understand pathophysiologic mechanisms of secondary insults after intracerebral hemorrhage. Whether they may serve as target in the treatment of intracerebral hemorrhage deserves further research.

scholarly journals Natural History of Perihematomal Edema in Patients With Hyperacute Spontaneous Intracerebral Hemorrhage

Stroke ◽  
2002 ◽  
Vol 33 (11) ◽  
pp. 2631-2635 ◽  
Author(s):  
James M. Gebel ◽  
Edward C. Jauch ◽  
Thomas G. Brott ◽  
Jane Khoury ◽  
Laura Sauerbeck ◽  
...  
Keyword(s):  
Natural History ◽  
Intracerebral Hemorrhage ◽  
Spontaneous Intracerebral Hemorrhage ◽  
History Of ◽  
Perihematomal Edema

scholarly journals The risk factors and prognosis of delayed perihematomal edema in patients with spontaneous intracerebral hemorrhage

2019 ◽  
Vol 25 (10) ◽  
pp. 1189-1194 ◽  
Author(s):  
Wen‐jie Peng ◽  
Qian Li ◽  
Jin‐hua Tang ◽  
Cesar Reis ◽  
Camila Araujo ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intracerebral Hemorrhage ◽  
Spontaneous Intracerebral Hemorrhage ◽  
Perihematomal Edema

scholarly journals Validation of an automated segmentation algorithm for lower leg MR images, applied to sodium quantification

2018 ◽  
Author(s):  
Jasmine M. Greer ◽  
Ping Wang ◽  
Serpil Muge Deger ◽  
Aseel Alsouqi ◽  
T. Alp Ikizler ◽  
...  
Keyword(s):  
Sodium Concentration ◽  
Lower Leg ◽  
Segmentation Algorithm ◽  
Automated Segmentation ◽  
Mr Images ◽  
Muscle Area ◽  
Imaging Protocol ◽  
Automated Algorithm ◽  
Muscle Compartment ◽  
Magnetic Resonance Imaging Protocol

AbstractObjectiveTo develop and validate an automated segmentation algorithm for the lower leg using a multi-parametric magnetic resonance imaging protocol.MethodsAn automated algorithm combining active contour and intensity-based thresholding methods was developed to identify skin and muscle regions from proton Dixon MR images of the lower leg. Tissue sodium concentration was then computed using contemporaneously acquired sodium images with calibrated phantoms in the field of view. Resulting sodium concentration measurements were compared to a gold standard manual segmentation in 126 scans.ResultsMost cases had no observable errors in segmentation of muscle and skin. Six cases had minor errors that were not expected to affect quantification; in the worst, 126 mm2 (2%) of a muscle area of 8,042 mm2 was misclassified. In one case the algorithm failed to separate the tibia from the muscle compartment. Correlation between automated and manual measurements of sodium concentration was R2 = 0.84 for skin, R2 = 0.99 for muscle. Additionally, the RMSE was 2.4mM for skin and 0.5mM for muscle; the observed physiological range was 8.5 to 37.4mM.ConclusionFor the purpose of estimating sodium concentrations in muscle and skin compartments, the automated segmentations provided equally accurate results compared to the more time-intensive manual segmentations. Sodium quantification serves as a biomarker for disease progression, which would assist with early diagnostic treatments. The proposed algorithm will improve workflow, reproducibility, and consistency in such studies.

Definition and time course of pericavity edema after minimally invasive endoscopic intracerebral hemorrhage evacuation

2021 ◽  
pp. neurintsurg-2020-017077
Author(s):  
Maxwell E Horowitz ◽  
Muhammad Ali ◽  
Alexander G Chartrain ◽  
Olivia S Allen ◽  
Jacopo Scaggiante ◽  
...  
Keyword(s):  
Minimally Invasive ◽  
Intracerebral Hemorrhage ◽  
Time Course ◽  
Linear Regression Analysis ◽  
Perioperative Period ◽  
Accurate Method ◽  
Ct Scans ◽  
Postoperative Time ◽  
Clot Burden ◽  
Perihematomal Edema

BackgroundPerihematomal edema (PHE) volume correlates with intracerebral hemorrhage (ICH) volume and is associated with functional outcome. Minimally invasive surgery (MIS) for ICH decreases clot burden and PHE. MIS may therefore alter the time course of PHE, mitigating a critical source of secondary injury.ObjectiveTo describe a new method for the quantitative measurement of cerebral edema surrounding the evacuated hematoma cavity, termed pericavity edema (PCE), and obtain details of its time course following MIS for ICH.MethodsThe study included 48 consecutive patients presenting with ICH who underwent MIS evacuation. Preoperative and postoperative CT scans were assessed by two independent raters. Hematoma, edema, cavity, and pneumocephalus volumes were calculated using semi-automatic, threshold-guided volume segmentation software (AnalyzePro). Follow-up CT scans at variable delayed time points were available for 36 patients and were used to describe the time course of PCE.ResultsMean preoperative, postoperative, and delayed PCE were 21.0 mL (SD 15.5), 18.6 mL (SD 11.4), and 18.4 mL (SD 15.5), respectively. The percentage of ICH evacuated correlated significantly with a decrease in postoperative PCE (r=−0.46, p<0.01). Linear regression analysis revealed a significant relation between preoperative hematoma volume and both postoperative PCE (p<0.001) and postoperative relative PCE (p<0.001). The mean peak PCE was 26.4 mL (SD 15.6) and occurred at 6.5 days (SD 4.8) post-ictus. The 2-week postoperative time course of relative PCE did not fluctuate, suggesting stability in edema during the perioperative period surrounding evacuation and up to 2 weeks after the initial bleed.ConclusionsWe present a detailed and accurate method for measuring PCE volume with semi-automatic, threshold-guided segmentation software in the postoperative patient with ICH. Decrease in PCE after MIS evacuation correlated with evacuation percentage, and relative PCE remained stable after minimally invasive endoscopic ICH evacuation.

scholarly journals Hematoma volumes of spontaneous intracerebral hemorrhage: the ellipse (ABC/2) method yielded volumes smaller than those measured using the planimetric method

2013 ◽  
Vol 71 (8) ◽  
pp. 540-544 ◽  
Author(s):  
Adriano Keijiro Maeda ◽  
Luiz Roberto Aguiar ◽  
Carolina Martins ◽  
Gerson Linck Bichinho ◽  
Munir Antonio Gariba
Keyword(s):  
Computed Tomography ◽  
Intracerebral Hemorrhage ◽  
Ct Scans ◽  
Observer Variability ◽  
Average Difference ◽  
Spontaneous Intracerebral Hemorrhage ◽  
Brain Computed Tomography ◽  
Rater Variability

OBJECTIVE: To compare two different methods for measuring intracerebral hemorrhage (ICH) volume: the ellipse volume (called ABC/2), and the software-aided planimetric. METHODS: Four observers evaluated 20 brain computed tomography (CT) scans with spontaneous ICH. Each professional measured the volume using the ABC/2 and the planimetric methods. The average volumes were obtained, and the intra- and inter-rater variability was determined. RESULTS: There is an absolute 2.24 cm3 average difference between both methodologies. Volumes yielded by the ABC/2 method were as much as 14.9% smaller than by the planimetric one. An intra-observer variability rate of 0.46% was found for the planimetric method and 0.18% for the ABC/2. The inter-observer rates were 1.69 and 1.11% respectively. CONCLUSIONS: Both methods are reproducible. The ABC/2 yielded hemorrhage volumes as much as 14.9% smaller than those measured using the planimetric methodology.

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