Evidence map›Paper›PMID 35983497›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering

Initial investigation of the use of angiographic parametric imaging for early prognosis of delayed cerebral ischemia in patients with subarachnoid hemorrhage.

Roman D Price, Mohammad Mahdi Shiraz Bhurwani, Kelsey N Sommer, Andrei Monteiro, Ammad A Baig, Jason M Davies, Adnan H Siddiqui, Ciprian N Ionita

Open access · greenAbstract read
In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering. 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
0.2field-weighted citation impact, top 47% of its field
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, 2 citations in OpenAlex.

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

8 authors at 2 institutions in 1 country.

Roman D PriceDepartment of Biomedical Engineering, University at Buffalo, Buffalo NY 14228.
Mohammad Mahdi Shiraz BhurwaniDepartment of Biomedical Engineering, University at Buffalo, Buffalo NY 14228.
Kelsey N SommerDepartment of Biomedical Engineering, University at Buffalo, Buffalo NY 14228.
Andrei MonteiroCanon Stroke and Vascular Research Center, Buffalo, NY 14203.
Ammad A BaigCanon Stroke and Vascular Research Center, Buffalo, NY 14203.
Jason M DaviesCanon Stroke and Vascular Research Center, Buffalo, NY 14203.
Adnan H SiddiquiCanon Stroke and Vascular Research Center, Buffalo, NY 14203.
Ciprian N IonitaDepartment of Biomedical Engineering, University at Buffalo, Buffalo NY 14228.
Canon (United States) · USUniversity at Buffalo, State University of New York · US

Funding

High Speed Angiography at 1000 frames per secondR01EB030092 · NIBIB · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI RUDIN, STEPHEN · 2020 to 2023
$2.6M
DATA-DRIVEN MODELS TO PREDICT DELAYED CEREBRAL ISCHEMIA AFTER SUBARACHNOID HEMORRHAGER21NS123478 · NINDS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI DAVIES, JASON, IONITA, CIPRIAN N. · 2021 to 2022
$449k
NIBIB NIH HHS R01 EB030092NINDS NIH HHS R21 NS123478
6 · The paper itself

Abstract

Purpose: Subarachnoid Hemorrhage (SAH) is a lethal hemorrhagic stroke that account for 25% of cerebrovascular deaths. As a result of the initial bleed, a chain of physiological events are initiated which may lead to Delayed Cerebral Ischemia (DCI). As of now we have no diagnostic capability to identify patients which may present DCI a few weeks after initial presentation. We propose to investigate whether a data driven approach using angiographic parametric imaging (API) may predict occurrence of the DCI. Materials and Methods: Digital Subtraction Angiographic (DSA) sequences from 125 SAH patients were used retrospectively to perform API assessment of the entire brain hemisphere where the hemorrhage was detected. Four Regions of Interests (ROIs) were placed to extract five average API biomarkers in the lateral and AP DSAs. Data driven analysis using Logistic Regression was performed for various API parameters and ROIs to find the optimal configuration to maximize the prognosis accuracy. Each model performance was evaluated using area under the curve of the receiver operator characteristic (AUROC). Results: Data driven approach with API has a 60% accuracy predicting DCI occurrence. We determined that location of the ROI for extraction of the API parameters is very important for the data driven model performance. Normalizing the values using the inlet velocities for each patient yield higher and more consistent results. Single API biomarkers models had poor prediction accuracies, barely better than chance. Conclusions: This effectiveness exploratory study demonstrates for the first time, that prognosis of the DCI in SAH patients, is feasible and warrants a more in-depth investigation.

Indexed as

AngiographyDelayed Cerebral IschemiaMachine LearningParametric ImagingSubarachnoid Hemorrhage

Identifiers

PMID35983497
PMCPMC9385186
OpenAlexW4212793229

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.