Measurement of progressive cerebral ventriculomegaly in infants after grades III and IV intraventricular hemorrhages

Brann, Benjamin S; Qualls, Clifford; Papile, Lu-Ann; Wells, Lorraine; Werner, Sarah

doi:10.1016/s0022-3476(05)80701-2

Cited by 21 publications

(7 citation statements)

References 15 publications

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“…They found very good classification for patients who received treatment at 21 days of life using 30-mL VV or greater as a threshold, whereas we found a lower threshold of 20.9 cm3 at 21 to 27 days (Table 2). Brann et al 26 . additionally found the change in VV was more predictive than VV alone with 100% sensitivity and specificity in both retrospective and prospective analysis, which concurs with the results of this study.…”

Section: Discussionsupporting

confidence: 91%

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Quantitative 3-D head ultrasound measurements of ventricle volume to determine thresholds for preterm neonates requiring interventional therapies following posthemorrhagic ventricle dilatation

et al. 2018

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Abstract. Dilatation of the cerebral ventricles is a common condition in preterm neonates with intraventricular hemorrhage. This posthemorrhagic ventricle dilatation (PHVD) can lead to lifelong neurological impairment through ischemic injury due to increased intracranial pressure, and without treatment can lead to death. Two-dimensional ultrasound (US) through the fontanelles of the patients is serially acquired to monitor the progression of PHVD. These images are used in conjunction with clinical experience and physical exams to determine when interventional therapies such as needle aspiration of the built up cerebrospinal fluid (ventricle tap, VT) might be indicated for a patient; however, quantitative measurements of the ventricles size are often not performed. We describe the potential utility of the quantitative three-dimensional (3-D) US measurements of ventricle volumes (VVs) in 38 preterm neonates to monitor and manage PHVD. Specifically, we determined 3-D US VV thresholds for patients who received VT in comparison to patients with PHVD who resolve without intervention. In addition, since many patients who have an initial VT will receive subsequent interventions, we determined which PHVD patients will receive additional VT after the initial one has been performed. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Section: Discussionsupporting

confidence: 91%

“…Previous mathematical estimates of VV based on 2-D US images found that there was a significant difference between patients who received interventions and those who did not 26 . This model received 2-D US images spaced at regular angular intervals and a calculation involving solving an integral using cylindrical coordinates 27 .…”

Section: Discussionmentioning

confidence: 99%

Quantitative 3-D head ultrasound measurements of ventricle volume to determine thresholds for preterm neonates requiring interventional therapies following posthemorrhagic ventricle dilatation

et al. 2018

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“…The proposed approach generated a MDD of 1.2 cm 3 for the patients with VM and 9.4 cm 3 for the hydrocephalus patients. As reported in Brann et al (1990), infants with IVH with a cerebral daily volume increase of 4.2 ± 3.3 cm 3 will need intervention, which is greater than the MDD generated by our approach for the patients with VM. Although the generated MDD value of 9.4 cm 3 is greater than the cerebral daily volume increase, the interval of every two acquired 3D MR images is more than one week.…”

Section: Discussionmentioning

confidence: 77%

3D MR ventricle segmentation in pre-term infants with post-hemorrhagic ventricle dilatation (PHVD) using multi-phase geodesic level-sets

et al. 2015

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“…Work by Brann et al 35 . has demonstrated that patients with IVH who require an intervention can have cerebral volume increase of 4.2 ± 3.3 cm 3 /day, and Kishimoto et al 3 .…”

Section: Discussionmentioning

confidence: 99%

Automated 3D U‐net based segmentation of neonatal cerebral ventricles from 3D ultrasound images

et al. 2022

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Background: Intraventricular hemorrhaging (IVH) within cerebral lateral ventricles affects 20-30% of very low birth weight infants (<1500 g). As the ventricles increase in size, the intracranial pressure increases, leading to posthemorrhagic ventricle dilatation (PHVD), an abnormal enlargement of the head. The most widely used imaging tool for measuring IVH and PHVD is cranial two-dimensional (2D) ultrasound (US). Estimating volumetric changes over time with 2D US is unreliable due to high user variability when locating the same anatomical location at different scanning sessions. Compared to 2D US, threedimensional (3D) US is more sensitive to volumetric changes in the ventricles and does not suffer from variability in slice acquisition. However, 3D US images require segmentation of the ventricular surface, which is tedious and time-consuming when done manually. Purpose: A fast, automated ventricle segmentation method for 3D US would provide quantitative information in a timely manner when monitoring IVH and PHVD in pre-term neonates. To this end, we developed a fast and fully automated segmentation method to segment neonatal cerebral lateral ventricles from 3D US images using deep learning. Methods: Our method consists of a 3D U-Net ensemble model composed of three U-Net variants,each highlighting various aspects of the segmentation task such as the shape and boundary of the ventricles. The ensemble is made of a U-Net++, attention U-Net, and U-Net with a deep learning-based shape prior combined using a mean voting strategy. We used a dataset consisting of 190 3D US images, which was separated into two subsets, one set of 87 images contained both ventricles, and one set of 103 images contained only one ventricle (caused by limited field-of -view during acquisition).We conducted fivefold crossvalidation to evaluate the performance of the models on a larger amount of test data; 165 test images of which 75 have two ventricles (two-ventricle images) and 90 have one ventricle (one-ventricle images). We compared these results to each stand-alone model and to previous works including,2D multiplane U-Net and 2D SegNet models. Results: Using fivefold cross-validation, the ensemble method reported a Dice similarity coefficient (DSC) of 0.720 ± 0.074, absolute volumetric difference (VD) of 3.7 ± 4.1 cm 3 , and a mean absolute surface distance (MAD) of 1.14 ± 0.41 mm on 75 two-ventricle test images. Using 90 test images with a single ventricle, the model after cross-validation reported DSC, VD, and MAD values of 0.806 ± 0.111, 3.5 ± 2.9 cm 3 , and 1.37 ± 1.70 mm, respectively. Compared to alternatives, the proposed ensemble yielded a higher accuracy in segmentation on both test data sets. Our method required approximately 5 s to segment 1034

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Measurement of progressive cerebral ventriculomegaly in infants after grades III and IV intraventricular hemorrhages

Cited by 21 publications

References 15 publications

Quantitative 3-D head ultrasound measurements of ventricle volume to determine thresholds for preterm neonates requiring interventional therapies following posthemorrhagic ventricle dilatation

Quantitative 3-D head ultrasound measurements of ventricle volume to determine thresholds for preterm neonates requiring interventional therapies following posthemorrhagic ventricle dilatation

3D MR ventricle segmentation in pre-term infants with post-hemorrhagic ventricle dilatation (PHVD) using multi-phase geodesic level-sets

Automated 3D U‐net based segmentation of neonatal cerebral ventricles from 3D ultrasound images

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