Evidence map›Paper›PMID 40655941›Full record

ArticleJournal of biomedical optics2025

Automatic photoacoustic monitoring of perinatal brain hypoxia with superior sagittal sinus detection.

Baichuan Jiang, Ernest Graham, Mathias Unberath, Russell H Taylor, Raymond C Koehler, Jeeun Kang, Emad M Boctor

Abstract read
In one paragraph

Article in Journal of biomedical optics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Baichuan JiangJohns Hopkins University, Department of Computer Science, Baltimore, Maryland, United States.ORCID 0000-0001-5223-7104
Ernest GrahamJohns Hopkins Medical Institute, Department of Gynecology and Obstetrics, Baltimore, Maryland, United States.
Mathias UnberathJohns Hopkins University, Department of Computer Science, Baltimore, Maryland, United States.ORCID 0000-0002-0055-9950
Russell H TaylorJohns Hopkins University, Department of Computer Science, Baltimore, Maryland, United States.ORCID 0000-0001-6272-1100
Raymond C KoehlerJohns Hopkins Medical Institute, Department of Anesthesiology and Critical Care Medicine, Baltimore, Maryland, United States.
Jeeun KangJohns Hopkins Medical Institute, Department of Anesthesiology and Critical Care Medicine, Baltimore, Maryland, United States.
Emad M BoctorJohns Hopkins University, Department of Computer Science, Baltimore, Maryland, United States.

Funding

Rapid Fluorescence-Based Determination of Antibiotic SusceptibilityU54EB015408 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI PARRISH, JOHN A, SCHACHTER, STEVEN · 2012 to 2022
$49.2M
Center for Innovative NeuroTech Advancement - CINTA Transition FundingU54EB033650 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Paolo Bonato, STEVEN C. SCHACHTER · 2022 to 2026
$47.1M
Development of real-time, non-invasive photoacoustic imaging to rapidly detect and track perinatal focal stroke at birthR01HL139543 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI BOCTOR, EMAD M, GRAHAM, ERNEST MARSHALL · 2018 to 2021
$2.4M
NB NIH HHS U54EB015408NB NIH HHS U54EB033650NHLBI NIH HHS R01 HL139543NIBIB NIH HHS U54 EB015408NIBIB NIH HHS U54 EB033650NIH HHS R01HL139543
6 · The paper itself

Abstract

Significance: Despite advances in perinatal medicine over decades, perinatal hypoxic-ischemic encephalopathy (HIE) remains a significant cause of fetal cerebral palsy and can lead to other severe medical sequelae or death. Therefore, it is highly desirable to effectively detect brain hypoxia during labor and postnatally for HIE management. Aim: We recently validated the feasibility of transcranial photoacoustic (PA) imaging for oxyhemoglobin saturation measurement at the superior sagittal sinus ( Approach: We proposed a two-step algorithm that focuses on the most informative region of the brain for oxygenation status, the superior sagittal sinus (SSS). First, a convolutional neural network (U-Net) is trained to detect the location of SSS in the coronal cross-section PA images. Then, an optimized region of interest patch around the predicted SSS location is cropped from the spectral unmixed image and averaged as the Results: The algorithm was evaluated on an Conclusions: The proposed automatic

Indexed as

Hypoxia, BrainHypoxia-Ischemia, BrainPhotoacoustic TechniquesSuperior Sagittal SinusAlgorithmsAnimalsAnimals, NewbornBrainFemaleImage Processing, Computer-AssistedNeural Networks, ComputerSwinebrain monitoringdeep learningoxygen saturation measurementperinatal healthphotoacoustic imaging

Identifiers

PMID40655941
PMCPMC12245645

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.