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1.
bioRxiv ; 2023 Jul 03.
Article in English | MEDLINE | ID: mdl-37461570

ABSTRACT

Hypoxic ischemic encephalopathy (HIE) is a brain injury that occurs in 1 ~ 5/1000 term neonates. Accurate identification and segmentation of HIE-related lesions in neonatal brain magnetic resonance images (MRIs) is the first step toward predicting prognosis, identifying high-risk patients, and evaluating treatment effects. It will lead to a more accurate estimation of prognosis, a better understanding of neurological symptoms, and a timely prediction of response to therapy. We release the first public dataset containing neonatal brain diffusion MRI and expert annotation of lesions from 133 patients diagnosed with HIE. HIE-related lesions in brain MRI are often diffuse (i.e., multi-focal), and small (over half the patients in our data having lesions occupying <1% of brain volume). Segmentation for HIE MRI data is remarkably different from, and arguably more challenging than, other segmentation tasks such as brain tumors with focal and relatively large lesions. We hope that this dataset can help fuel the development of MRI lesion segmentation methods for HIE and small diffuse lesions in general.

2.
Eur J Pharm Biopharm ; 181: 282-291, 2022 Dec.
Article in English | MEDLINE | ID: mdl-36400255

ABSTRACT

The objective of this study was to determine the attitudes and impressions of breastfeeding mothers and healthcare practitioners towards a device concept integrating breastfeeding with infant drug and nutrient administration. This was an exploratory qualitative study involving 20 breastfeeding mothers and 6 healthcare practitioners from the Suffolk and Middlesex County areas of Massachusetts, USA each individually interviewed. Interview transcription of the semi-structured interviews by an independent service began during data collection, and data coding into major themes continued until and after data saturation was reached. Repeated medication delivery with a reusable product was highlighted as a potential use case for the device concept; ease of use and cleaning as well as cost, familiarity with the method, and infant response were identified as critical considerations. Participants questioned device suitability with liquid formulations (as opposed to non-liquid), while potential advantages over alternative medication delivery technology like oral syringes were identified, including a more "natural" feeling. Most participants had prior knowledge of, or personal experience with, devices like commercially available nipple shields. Attitudes towards the NSDS were not determined by experience with nipple shields, however. The participants' prior exposure to nipple shields is in contrast to related studies in Kenya and South Africa where commercial nipple shields were not widely known and where specific concerns surrounding potential community stigma to an unknown device were raised by participants.


Subject(s)
Pharmaceutical Preparations , Humans , Qualitative Research
3.
J Transl Med ; 17(1): 385, 2019 11 21.
Article in English | MEDLINE | ID: mdl-31752923

ABSTRACT

BACKGROUND: Secondary and retrospective use of hospital-hosted clinical data provides a time- and cost-efficient alternative to prospective clinical trials for biomarker development. This study aims to create a retrospective clinical dataset of Magnetic Resonance Images (MRI) and clinical records of neonatal hypoxic ischemic encephalopathy (HIE), from which clinically-relevant analytic algorithms can be developed for MRI-based HIE lesion detection and outcome prediction. METHODS: This retrospective study will use clinical registries and big data informatics tools to build a multi-site dataset that contains structural and diffusion MRI, clinical information including hospital course, short-term outcomes (during infancy), and long-term outcomes (~ 2 years of age) for at least 300 patients from multiple hospitals. DISCUSSION: Within machine learning frameworks, we will test whether the quantified deviation from our recently-developed normative brain atlases can detect abnormal regions and predict outcomes for individual patients as accurately as, or even more accurately, than human experts. Trial Registration Not applicable. This study protocol mines existing clinical data thus does not meet the ICMJE definition of a clinical trial that requires registration.


Subject(s)
Biomarkers/metabolism , Hypoxia-Ischemia, Brain/diagnostic imaging , Machine Learning , Magnetic Resonance Imaging , Algorithms , Clinical Trials as Topic , Humans , Infant, Newborn , International Classification of Diseases , Probability , Treatment Outcome
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