NOVEL AI-POWERED, TIME-ADJUSTED NET WATER UPTAKE IMAGING BIOMARKER DERIVED FROM NON-CONTRAST COMPUTED TOMOGRAPHY TO VISUALIZE EARLY INFARCTED TISSUE AND PREDICT REVERSAL POTENTIAL

Jonathon S. Cummock; Timea M. Hodics; Rahul Ghosh; John J. Volpi; Stephen T. Wong; Kelvin Wong

NOVEL AI-POWERED, TIME-ADJUSTED NET WATER UPTAKE IMAGING BIOMARKER DERIVED FROM NON-CONTRAST COMPUTED TOMOGRAPHY TO VISUALIZE EARLY INFARCTED TISSUE AND PREDICT REVERSAL POTENTIAL

Jonathon S. Cummock, Timea M. Hodics, Rahul Ghosh, John J. Volpi, Stephen T. Wong, Kelvin Wong

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Acute ischemic stroke (AIS) is a leading cause of death
and disability worldwide. Early and rapid diagnosis is
critical for improved patient outcomes as treatment is time
sensitive and relies heavily on diagnostic imaging. Noncontrast
CT (NCCT) is the typical triage imaging study for
AIS as it is fast and widely available, however it lacks
sensitivity for detecting early ischemia, often necessitating
additional advanced imaging. Net water uptake (NWU) is a
region-of-interest measurement that quantifies tissue
edema to identify ischemia, however its usage is limited by
the need for CT perfusion imaging. This study proposes an
innovative artificial intelligence (AI) method to generate
whole brain high spatial resolution NWU maps derived from
NCCT alone, presenting a promising neuroimaging
biomarker for the detection of early ischemia and prediction
of lesion reversibility.

Original language	English (US)
Title of host publication	11th European Stroke Organization Conference Proceeding
State	Published - 2025
Event	European Stroke Organization Conference 2025 - Helsinki, Finland Duration: May 21 2025 → May 23 2025 Conference number: 11th https://eso-stroke.org/esoc2025/

Conference

Conference	European Stroke Organization Conference 2025
Abbreviated title	ESOC 2025
Country/Territory	Finland
City	Helsinki
Period	5/21/25 → 5/23/25
Internet address	https://eso-stroke.org/esoc2025/

Cite this

NOVEL AI-POWERED, TIME-ADJUSTED NET WATER UPTAKE IMAGING BIOMARKER DERIVED FROM NON-CONTRAST COMPUTED TOMOGRAPHY TO VISUALIZE EARLY INFARCTED TISSUE AND PREDICT REVERSAL POTENTIAL. / Cummock, Jonathon S.; Hodics, Timea M.; Ghosh, Rahul et al.
11th European Stroke Organization Conference Proceeding. 2025.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Cummock, JS, Hodics, TM, Ghosh, R, Volpi, JJ , Wong, ST & Wong, K 2025, NOVEL AI-POWERED, TIME-ADJUSTED NET WATER UPTAKE IMAGING BIOMARKER DERIVED FROM NON-CONTRAST COMPUTED TOMOGRAPHY TO VISUALIZE EARLY INFARCTED TISSUE AND PREDICT REVERSAL POTENTIAL. in 11th European Stroke Organization Conference Proceeding. European Stroke Organization Conference 2025, Helsinki, Finland, 5/21/25.

@inproceedings{c0d15b5e93b84e16a5d1c9a4f66d47f2,

title = "NOVEL AI-POWERED, TIME-ADJUSTED NET WATER UPTAKE IMAGING BIOMARKER DERIVED FROM NON-CONTRAST COMPUTED TOMOGRAPHY TO VISUALIZE EARLY INFARCTED TISSUE AND PREDICT REVERSAL POTENTIAL",

abstract = "Acute ischemic stroke (AIS) is a leading cause of death and disability worldwide. Early and rapid diagnosis is critical for improved patient outcomes as treatment is time sensitive and relies heavily on diagnostic imaging. Noncontrast CT (NCCT) is the typical triage imaging study for AIS as it is fast and widely available, however it lacks sensitivity for detecting early ischemia, often necessitating additional advanced imaging. Net water uptake (NWU) is a region-of-interest measurement that quantifies tissue edema to identify ischemia, however its usage is limited by the need for CT perfusion imaging. This study proposes an innovative artificial intelligence (AI) method to generate whole brain high spatial resolution NWU maps derived from NCCT alone, presenting a promising neuroimaging biomarker for the detection of early ischemia and prediction of lesion reversibility.",

author = "Cummock, \{Jonathon S.\} and Hodics, \{Timea M.\} and Rahul Ghosh and Volpi, \{John J.\} and Wong, \{Stephen T.\} and Kelvin Wong",

year = "2025",

language = "English (US)",

booktitle = "11th European Stroke Organization Conference Proceeding",

note = "European Stroke Organization Conference 2025, ESOC 2025 ; Conference date: 21-05-2025 Through 23-05-2025",

url = "https://eso-stroke.org/esoc2025/",

}

TY - GEN

T1 - NOVEL AI-POWERED, TIME-ADJUSTED NET WATER UPTAKE IMAGING BIOMARKER DERIVED FROM NON-CONTRAST COMPUTED TOMOGRAPHY TO VISUALIZE EARLY INFARCTED TISSUE AND PREDICT REVERSAL POTENTIAL

AU - Cummock, Jonathon S.

AU - Hodics, Timea M.

AU - Ghosh, Rahul

AU - Volpi, John J.

AU - Wong, Stephen T.

AU - Wong, Kelvin

N1 - Conference code: 11th

PY - 2025

Y1 - 2025

N2 - Acute ischemic stroke (AIS) is a leading cause of death and disability worldwide. Early and rapid diagnosis is critical for improved patient outcomes as treatment is time sensitive and relies heavily on diagnostic imaging. Noncontrast CT (NCCT) is the typical triage imaging study for AIS as it is fast and widely available, however it lacks sensitivity for detecting early ischemia, often necessitating additional advanced imaging. Net water uptake (NWU) is a region-of-interest measurement that quantifies tissue edema to identify ischemia, however its usage is limited by the need for CT perfusion imaging. This study proposes an innovative artificial intelligence (AI) method to generate whole brain high spatial resolution NWU maps derived from NCCT alone, presenting a promising neuroimaging biomarker for the detection of early ischemia and prediction of lesion reversibility.

AB - Acute ischemic stroke (AIS) is a leading cause of death and disability worldwide. Early and rapid diagnosis is critical for improved patient outcomes as treatment is time sensitive and relies heavily on diagnostic imaging. Noncontrast CT (NCCT) is the typical triage imaging study for AIS as it is fast and widely available, however it lacks sensitivity for detecting early ischemia, often necessitating additional advanced imaging. Net water uptake (NWU) is a region-of-interest measurement that quantifies tissue edema to identify ischemia, however its usage is limited by the need for CT perfusion imaging. This study proposes an innovative artificial intelligence (AI) method to generate whole brain high spatial resolution NWU maps derived from NCCT alone, presenting a promising neuroimaging biomarker for the detection of early ischemia and prediction of lesion reversibility.

M3 - Conference contribution

BT - 11th European Stroke Organization Conference Proceeding

T2 - European Stroke Organization Conference 2025

Y2 - 21 May 2025 through 23 May 2025

ER -

NOVEL AI-POWERED, TIME-ADJUSTED NET WATER UPTAKE IMAGING BIOMARKER DERIVED FROM NON-CONTRAST COMPUTED TOMOGRAPHY TO VISUALIZE EARLY INFARCTED TISSUE AND PREDICT REVERSAL POTENTIAL

Abstract

Conference

Fingerprint

Cite this