Automated ASPECTS Segmentation and Scoring Tool: a Method Tailored for a Colombian Telestroke Network.
To evaluate our two non-machine learning (non-ML)-based algorithmic approaches for detecting early ischemic infarcts on brain CT images of patients with acute ischemic stroke symptoms, tailored to our local population, to be incorporated in our telestroke software. One-hundred and thirteen acute str...
| Publicado en: | Journal of Imaging Informatics in Medicine Vol. 38; no. 2; pp. 1076 - 1091 |
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| Autores principales: | , , , , , |
| Formato: | diagnostic images research tables/charts Journal Article |
| Publicado: |
Springer Nature
Apr2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=184081755&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 184081755 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 29482925 NR3A jtl: Journal of Imaging Informatics in Medicine issn: 29482925 maglogo: N pubinfo: dt: Apr2025 vid: 38 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 184081755 184081755 184081755 10.1007/s10278-024-01258-9 184081755 ppf: 1076 ppct: 15 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Automated ASPECTS Segmentation and Scoring Tool: a Method Tailored for a Colombian Telestroke Network. aug: au: Ortiz, Esteban Rivera, Juan Granja, Manuel Agudelo, Nelson Hernández Hoyos, Marcela Salazar, Antonio affil: https://ror.org/02mhbdp94 Systems and Computing Engineering Department, Universidad de los Andes, Bogotá, Colombia sug: subj: Ischemic Stroke Radiography Brain Radiography Telemedicine Tomography, X-Ray Computed Methods Automation Prediction Algorithms Instrument Construction Instrument Validation Colombia Funding Source Human Male Female Adult Middle Age Aged Aged, 80 and Over ROC Curve Cerebrovascular Disorders Emergency Medicine Thrombolytic Therapy Sensitivity and Specificity kappa Statistic Data Analysis Software Descriptive Statistics Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years Aged, 80 & over Male Female ab: To evaluate our two non-machine learning (non-ML)-based algorithmic approaches for detecting early ischemic infarcts on brain CT images of patients with acute ischemic stroke symptoms, tailored to our local population, to be incorporated in our telestroke software. One-hundred and thirteen acute stroke patients, excluding hemorrhagic, subacute, and chronic patients, with accessible brain CT images were divided into calibration and test sets. The gold standard was determined through consensus among three neuroradiologist. Four neuroradiologist independently reported Alberta Stroke Program Early CT Scores (ASPECTSs). ASPECTSs were also obtained using a commercial ML solution (CMLS), and our two methods, namely the Mean Hounsfield Unit (HU) relative difference (RELDIF) and the density distribution equivalence test (DDET), which used statistical analyze the of the HUs of each region and its contralateral side. Automated segmentation was perfect for cortical regions, while minimal adjustment was required for basal ganglia regions. For dichotomized-ASPECTSs (ASPECTS < 6) in the test set, the area under the receiver operating characteristic curve (AUC) was 0.85 for the DDET method, 0.84 for the RELDIF approach, 0.64 for the CMLS, and ranged from 0.71–0.89 for the neuroradiologist. The accuracy was 0.85 for the DDET method, 0.88 for the RELDIF approach, and was ranged from 0.83 − 0.96 for the neuroradiologist. Equivalence at a margin of 5% was documented among the DDET, RELDIF, and gold standard on mean ASPECTSs. Noninferiority tests of the AUC and accuracy of infarct detection revealed similarities between both DDET and RELDIF, and the CMLS, and with at least one neuroradiologist. The alignment of our methods with the evaluations of neuroradiologist and the CMLS indicates the potential of our methods to serve as supportive tools in clinical settings, facilitating prompt and accurate stroke diagnosis, especially in health care settings, such as Colombia, where neuroradiologist are limited. pubtype: Academic Journal doctype: diagnostic images research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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