Automated Diagnosis of Stroke in Computed Tomography With the Use of Artificial Intelligence
Assisted Method for the Quantification, Localization and Automated Diagnosis of Stroke in Computed Tomography With the Use of Artificial Intelligence
1 other identifier
observational
350
1 country
1
Brief Summary
The use of the systems of machine learning for the quantification, location and diagnosis of ischemic stroke in non-contrasted head computed tomography, is a method with high efficacy, accessible and susceptible for standardization, for the assistance in the clinical decision making in the absence of specialized health personnel for the attention of this disease.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Aug 2019
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
March 12, 2019
CompletedFirst Posted
Study publicly available on registry
March 14, 2019
CompletedStudy Start
First participant enrolled
August 15, 2019
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 1, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
June 1, 2025
CompletedMay 18, 2021
May 1, 2021
5.8 years
March 12, 2019
May 17, 2021
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Alberta Stroke Program Early Computed Tomography Score
The Alberta stroke programme early CT score (ASPECTS) 1 is a 10-point quantitative topographic CT scan score used in patients with middle cerebral artery stroke. It has also been adapted for the posterior circulation. Scoring system Segmental assessment of the MCA vascular territory is made and 1 point is deducted from the initial score of 10 for every region involved: caudate putamen internal capsule insular cortex M1: "anterior MCA cortex," corresponding to frontal operculum M2: "MCA cortex lateral to insular ribbon" corresponding to anterior temporal lobe M3: "posterior MCA cortex" corresponding to posterior temporal lobe M4: "anterior MCA territory immediately superior to M1" M5: "lateral MCA territory immediately superior to M2" M6: "posterior MCA territory immediately superior to M3"
1 day
Study Arms (1)
Ischemic stroke patients with <4.5 hours of onset .
analysis of the computed tomography without contrast and detection of early changes, scoring with ASPECTS score and integration to the machine learning data base.
Eligibility Criteria
adult patients with ischemic stroke diagnosis, within the \<4.5 hrs. window after the onset of the symptoms
You may qualify if:
- Patients with ischemic stroke.
- Patients with \<4.5 hours of symptom onset.
You may not qualify if:
- Patients with hemorrhagic stroke diagnosis.
- Patients with other cerebrovascular diseases.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Departamento de neurociencias
Guadalajara, Jalisco, 44340, Mexico
Related Publications (11)
Mozaffarian D, Benjamin EJ, Go AS, Arnett DK, Blaha MJ, Cushman M, de Ferranti S, Despres JP, Fullerton HJ, Howard VJ, Huffman MD, Judd SE, Kissela BM, Lackland DT, Lichtman JH, Lisabeth LD, Liu S, Mackey RH, Matchar DB, McGuire DK, Mohler ER 3rd, Moy CS, Muntner P, Mussolino ME, Nasir K, Neumar RW, Nichol G, Palaniappan L, Pandey DK, Reeves MJ, Rodriguez CJ, Sorlie PD, Stein J, Towfighi A, Turan TN, Virani SS, Willey JZ, Woo D, Yeh RW, Turner MB; American Heart Association Statistics Committee and Stroke Statistics Subcommittee. Heart disease and stroke statistics--2015 update: a report from the American Heart Association. Circulation. 2015 Jan 27;131(4):e29-322. doi: 10.1161/CIR.0000000000000152. Epub 2014 Dec 17. No abstract available.
PMID: 25520374BACKGROUNDBenjamin EJ, Blaha MJ, Chiuve SE, Cushman M, Das SR, Deo R, de Ferranti SD, Floyd J, Fornage M, Gillespie C, Isasi CR, Jimenez MC, Jordan LC, Judd SE, Lackland D, Lichtman JH, Lisabeth L, Liu S, Longenecker CT, Mackey RH, Matsushita K, Mozaffarian D, Mussolino ME, Nasir K, Neumar RW, Palaniappan L, Pandey DK, Thiagarajan RR, Reeves MJ, Ritchey M, Rodriguez CJ, Roth GA, Rosamond WD, Sasson C, Towfighi A, Tsao CW, Turner MB, Virani SS, Voeks JH, Willey JZ, Wilkins JT, Wu JH, Alger HM, Wong SS, Muntner P; American Heart Association Statistics Committee and Stroke Statistics Subcommittee. Heart Disease and Stroke Statistics-2017 Update: A Report From the American Heart Association. Circulation. 2017 Mar 7;135(10):e146-e603. doi: 10.1161/CIR.0000000000000485. Epub 2017 Jan 25. No abstract available. Erratum In: Circulation. 2017 Mar 7;135(10):e646. doi: 10.1161/CIR.0000000000000491. Circulation. 2017 Sep 5;136(10):e196. doi: 10.1161/CIR.0000000000000530.
PMID: 28122885BACKGROUNDSaver JL. Time is brain--quantified. Stroke. 2006 Jan;37(1):263-6. doi: 10.1161/01.STR.0000196957.55928.ab. Epub 2005 Dec 8.
PMID: 16339467BACKGROUNDGrotta JC, Chiu D, Lu M, Patel S, Levine SR, Tilley BC, Brott TG, Haley EC Jr, Lyden PD, Kothari R, Frankel M, Lewandowski CA, Libman R, Kwiatkowski T, Broderick JP, Marler JR, Corrigan J, Huff S, Mitsias P, Talati S, Tanne D. Agreement and variability in the interpretation of early CT changes in stroke patients qualifying for intravenous rtPA therapy. Stroke. 1999 Aug;30(8):1528-33. doi: 10.1161/01.str.30.8.1528.
PMID: 10436095BACKGROUNDMullins ME, Lev MH, Schellingerhout D, Koroshetz WJ, Gonzalez RG. Influence of availability of clinical history on detection of early stroke using unenhanced CT and diffusion-weighted MR imaging. AJR Am J Roentgenol. 2002 Jul;179(1):223-8. doi: 10.2214/ajr.179.1.1790223.
PMID: 12076941BACKGROUNDNagel S, Wang X, Carcel C, Robinson T, Lindley RI, Chalmers J, Anderson CS; ENCHANTED Investigators. Clinical Utility of Electronic Alberta Stroke Program Early Computed Tomography Score Software in the ENCHANTED Trial Database. Stroke. 2018 Jun;49(6):1407-1411. doi: 10.1161/STROKEAHA.117.019863. Epub 2018 May 18.
PMID: 29777016BACKGROUNDJiang F, Jiang Y, Zhi H, Dong Y, Li H, Ma S, Wang Y, Dong Q, Shen H, Wang Y. Artificial intelligence in healthcare: past, present and future. Stroke Vasc Neurol. 2017 Jun 21;2(4):230-243. doi: 10.1136/svn-2017-000101. eCollection 2017 Dec.
PMID: 29507784BACKGROUNDSomashekhar SP, Sepulveda MJ, Puglielli S, Norden AD, Shortliffe EH, Rohit Kumar C, Rauthan A, Arun Kumar N, Patil P, Rhee K, Ramya Y. Watson for Oncology and breast cancer treatment recommendations: agreement with an expert multidisciplinary tumor board. Ann Oncol. 2018 Feb 1;29(2):418-423. doi: 10.1093/annonc/mdx781.
PMID: 29324970BACKGROUNDCantu-Brito C, Ruiz-Sandoval JL, Murillo-Bonilla LM, Chiquete E, Leon-Jimenez C, Arauz A, Villarreal-Careaga J, Barinagarrementeria F, Ramos-Moreno A; PREMIER Investigators. The first Mexican multicenter register on ischaemic stroke (the PREMIER study): demographics, risk factors and outcome. Int J Stroke. 2011 Feb;6(1):93-4. doi: 10.1111/j.1747-4949.2010.00549.x. No abstract available.
PMID: 21205252RESULTCantu-Brito C, Ruiz-Sandoval JL, Murillo-Bonilla LM, Chiquete E, Leon-Jimenez C, Arauz A, Villarreal-Careaga J, Rangel-Guerra R, Ramos-Moreno A, Barinagarrementeria F; PREMIER Investigators. Acute care and one-year outcome of Mexican patients with first-ever acute ischemic stroke: the PREMIER study. Rev Neurol. 2010 Dec 1;51(11):641-9. English, Spanish.
PMID: 21108226RESULTLee EJ, Kim YH, Kim N, Kang DW. Deep into the Brain: Artificial Intelligence in Stroke Imaging. J Stroke. 2017 Sep;19(3):277-285. doi: 10.5853/jos.2017.02054. Epub 2017 Sep 29.
PMID: 29037014RESULT
Related Links
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Rodrigo Ramos Zúñiga, M.D. Ph.D.
University of Guadalajara
- PRINCIPAL INVESTIGATOR
Eduardo Gerardo Mendizábal Ruiz, Ph.D.
University of Guadalajara
- PRINCIPAL INVESTIGATOR
José Luis Ruiz Sandoval, M.D.
University of Guadalajara
- STUDY CHAIR
Ivan Segura Duran, M.D.
University of Guadalajara
Study Design
- Study Type
- observational
- Observational Model
- CASE ONLY
- Time Perspective
- PROSPECTIVE
- Target Duration
- 1 Day
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Principal Investigator
Study Record Dates
First Submitted
March 12, 2019
First Posted
March 14, 2019
Study Start
August 15, 2019
Primary Completion
June 1, 2025
Study Completion
June 1, 2025
Last Updated
May 18, 2021
Record last verified: 2021-05
Data Sharing
- IPD Sharing
- Will not share