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Record W4223893194 · doi:10.3233/npm-229001

Proceedings of the 13th International Newborn Brain Conference: Neuro-imaging studies

2022· article· en· W4223893194 on OpenAlexaff
Ramy Abramsky, Rebeka Acosta, Laura Acosta Izquierdo, Bushra Albeshri, Mountasser Almouqdad, Yasmeen S. Asfour, Suzan S. Asfour, Topun Austin, Ashley Bach, Jim Barkovich, Richard Beare, Nadya Ben Fadel, Angelika Berger, Borja Blanco, Martijn F. Boomsma, Samudragupta Bora, Vivian Boswinkel, Theresa Chin, Liam Collins-Jones, Robert J. Cooper, Gautam Dagur, Linda de Vries, Laxmikant Shesrao, Deshmukh, Gregor Dovjak, Andrea Edwards, Mohamed El‐Dib, Hoda El-Shibiny, Dafna Eshel, Ron Eshel, Donna M. Ferriero, Dawn Gano, Olivia Girvan, Hannah C. Glass, Katharina Goeral, Agneta Golan, Michelle Gurvitz, Terrie E. Inder, Dima Z. Jamjoom, Nadja Kadom, Gregor Kasprian, Thanaa M. Khalil, Katrin Klebermaß-Schrehof, Jake Kleinmahon, Martine F. Krüse-Ruijter, Hannah Lambing, Sarah Lee, Alexander Leemans, Lara M. Leijser, Brigitte Lemyre, Yi Li, Camille Maltais-Bilodeau, Kyla Marks, Charles E. McCulloch, Sarah Sarvis Milla, Elka Miller, Aradhana Mishra, Nicholas Mitsakakis, Khorshid Mohammad, Susanne Mulder-de Tollenaer, Chelsea Munster, Jacqueline Nijboer, Jacqueline Nijboer-Oosterveld, Ingrid M. Nijholt, Rosa Novoa, Cynthia M. Ortinau, Emma Porter, Daniela Prayer, Deepti Reddy, Stephanie Redpath, Elizabeth E. Rogers, Victor Schmidbauer, James Scott, Elizabeth Sewell, Eilon Shany, Ilan Shelef, Elizabeth Singh, Cornelis H. Slump, Tina Steele, Enikő Szakmár, Chantal M. W. Tax, Kirsten Thiim, Julie Uchitel, Jochen van Osch, Gerda van Wezel‐Meijler, Anouk S. Verschuur, Mei-Nga Wu-Smit, Edward S. Yang, Hussein Zein

Bibliographic record

VenueJournal of Neonatal-Perinatal Medicine · 2022
Typearticle
Languageen
FieldMedicine
TopicMedical Imaging Techniques and Applications
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsNeuroimagingNeuroscienceCognitive sciencePsychology

Abstract

fetched live from OpenAlex

BACKGROUND/PURPOSE: Therapeutic hypothermia (TH) initiated within the fi rst 6 hours after birth, is proven to decrease brain tissue injury in moderate to severe neonatal encephalopathy (NE) and improve 18-24 month neurological outcomes.Recently, a correlation between the resistive index (RI) of the anterior cerebral artery on head ultrasound (HUS) performed after rewarming and severity of injury on MRI was reported.It remains unknown whether early RI anomalies (before rewarming) may be associated with severity of injury on MRI and as such, might have prognostic value for infants too unstable to undergo an MRI within the optimal time window.The aim of this study was to evaluate: (i) the association between a low anterior cerebral artery RI on HUS obtained during active TH and the severity of brain injury on MRI, and to examine the association between the RI value and outcomes at 48 months of age.METHODOLOGY: A retrospective study was performed.Electronic patient data records and patient charts were reviewed to identify infants born ≥35 weeks of gestation between October 2009 and December 2016, who received TH, at the Children's Hospital of Eastern Ontario.RI on HUS in the fi rst three days of life were compared to brain MRI fi ndings based on the scoring system by Weeke et al.Outcomes at 48 months of life were based on the Ages and Stages questionnaire administered during a clinic visit.RESULTS: Of the 101 newborns (median 39 weeks (IQR 38, 40); median birth weight 3.4 kg (IQR 3.0-3.8))who underwent TH, 74 had doppler ultrasound of the anterior cerebral artery.The median age at which TH was achieved was 5.8 hours of life (IQR = 4.0 -8.1).The median (IQR) for time to fi rst ultrasound was 16.5 (10.7-24.3)hours.The mean RI in the initial ultrasound was 0.65 (IQR 0.59 -0.73).62 newborns had brain MRI, with a median of the total Weeke score of 2.5 (IQR = 0 -11); the median grey matter score was 0 (IQR 0.0 -4.0).Overall, there is little to no correlation between the mean RI and total Weeke score.There is a weak negative correlation between the mean RI and the Weeke grey matter score (Pearson(95% CI): -0.37 (-0.57-0.13;p-value=0.05).The logistic regression model, did not show any signifi cant association between mean RI and neurologic outcome at 48 months (p=0.39).CONCLUSION: Despite the small sample size of the study cohort, the mean RI of the anterior cerebral artery shows some degree of correlation with the Weeke grey matter score on MRI.This suggests it may be helpful as a

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.035
GPT teacher head0.344
Teacher spread0.309 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2022
Admission routes1
Has abstractyes

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