Distal Medium Vessel Occlusions Can Be Accurately and Rapidly Detected Using Tmax Maps
Distal medium vessel occlusions (DMVOs) are increasingly considered for endovascular thrombectomy but are difficult to detect on computed tomography angiography (CTA). We aimed to determine whether time-to-maximum of tissue residue function (Tmax) maps, derived from CT perfusion, can be used as a tr...
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| Published in | Stroke (1970) Vol. 52; no. 10; pp. 3308 - 3317 |
|---|---|
| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
Lippincott Williams & Wilkins
01.10.2021
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0039-2499 1524-4628 1524-4628 |
| DOI | 10.1161/STROKEAHA.120.032941 |
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| Abstract | Distal medium vessel occlusions (DMVOs) are increasingly considered for endovascular thrombectomy but are difficult to detect on computed tomography angiography (CTA). We aimed to determine whether time-to-maximum of tissue residue function (Tmax) maps, derived from CT perfusion, can be used as a triage screening tool to accurately and rapidly identify patients with DMVOs.
Consecutive code stroke patients who underwent multimodal CT were screened retrospectively. Two experienced readers evaluated all patients’ Tmax maps in consensus for presence of delay in an arterial territory (territorial Tmax delay). The diagnostic accuracy of this surrogate for identifying DMVOs was determined using receiver-operating characteristic analysis. CTA, interpreted by 2 experienced neuroradiologists with access to all imaging data, served as the reference standard. Diagnostic performance of 4 other readers with different levels of experience for identifying DMVOs on Tmax versus CTA was also assessed. These readers independently assessed patients’ Tmax maps and CTAs in 2 separate timed sessions, and areas under the receiver-operating characteristic curves were compared using the DeLong algorithm. The Wilcoxon signed-rank test was used to comparatively assess diagnostic speed.
Three hundred seventy-three code stroke patients (median age, 70 years; 56% male, 70 with a DMVO) were included. Territorial Tmax delay had a sensitivity of 100% (CI95, 94.9%–100%) and specificity of 87.8% (CI95, 83.6%–91.3%) for presence of a DMVO, yielding an area under the receiver-operating characteristic curves of 0.939 (CI95, 0.920–0.957). All 4 readers achieved sensitivity >95% and specificity >84% for detecting DMVOs using Tmax maps, with diagnostic accuracy (area under the receiver-operating characteristic curves) and speed that were significantly (P<0.001) higher than on CTA.
Territorial Tmax delay had perfect sensitivity and high specificity for a DMVO. Tmax maps were accurately and rapidly interpreted by even inexperienced readers, and causes of false positives are easy to recognize and dismiss. These findings encourage the use of Tmax to identify patients with DMVOs. |
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| AbstractList | Distal medium vessel occlusions (DMVOs) are increasingly considered for endovascular thrombectomy but are difficult to detect on computed tomography angiography (CTA). We aimed to determine whether time-to-maximum of tissue residue function (Tmax) maps, derived from CT perfusion, can be used as a triage screening tool to accurately and rapidly identify patients with DMVOs.Background and PurposeDistal medium vessel occlusions (DMVOs) are increasingly considered for endovascular thrombectomy but are difficult to detect on computed tomography angiography (CTA). We aimed to determine whether time-to-maximum of tissue residue function (Tmax) maps, derived from CT perfusion, can be used as a triage screening tool to accurately and rapidly identify patients with DMVOs.Consecutive code stroke patients who underwent multimodal CT were screened retrospectively. Two experienced readers evaluated all patients’ Tmax maps in consensus for presence of delay in an arterial territory (territorial Tmax delay). The diagnostic accuracy of this surrogate for identifying DMVOs was determined using receiver-operating characteristic analysis. CTA, interpreted by 2 experienced neuroradiologists with access to all imaging data, served as the reference standard. Diagnostic performance of 4 other readers with different levels of experience for identifying DMVOs on Tmax versus CTA was also assessed. These readers independently assessed patients’ Tmax maps and CTAs in 2 separate timed sessions, and areas under the receiver-operating characteristic curves were compared using the DeLong algorithm. The Wilcoxon signed-rank test was used to comparatively assess diagnostic speed.MethodsConsecutive code stroke patients who underwent multimodal CT were screened retrospectively. Two experienced readers evaluated all patients’ Tmax maps in consensus for presence of delay in an arterial territory (territorial Tmax delay). The diagnostic accuracy of this surrogate for identifying DMVOs was determined using receiver-operating characteristic analysis. CTA, interpreted by 2 experienced neuroradiologists with access to all imaging data, served as the reference standard. Diagnostic performance of 4 other readers with different levels of experience for identifying DMVOs on Tmax versus CTA was also assessed. These readers independently assessed patients’ Tmax maps and CTAs in 2 separate timed sessions, and areas under the receiver-operating characteristic curves were compared using the DeLong algorithm. The Wilcoxon signed-rank test was used to comparatively assess diagnostic speed.Three hundred seventy-three code stroke patients (median age, 70 years; 56% male, 70 with a DMVO) were included. Territorial Tmax delay had a sensitivity of 100% (CI95, 94.9%–100%) and specificity of 87.8% (CI95, 83.6%–91.3%) for presence of a DMVO, yielding an area under the receiver-operating characteristic curves of 0.939 (CI95, 0.920–0.957). All 4 readers achieved sensitivity >95% and specificity >84% for detecting DMVOs using Tmax maps, with diagnostic accuracy (area under the receiver-operating characteristic curves) and speed that were significantly (P<0.001) higher than on CTA.ResultsThree hundred seventy-three code stroke patients (median age, 70 years; 56% male, 70 with a DMVO) were included. Territorial Tmax delay had a sensitivity of 100% (CI95, 94.9%–100%) and specificity of 87.8% (CI95, 83.6%–91.3%) for presence of a DMVO, yielding an area under the receiver-operating characteristic curves of 0.939 (CI95, 0.920–0.957). All 4 readers achieved sensitivity >95% and specificity >84% for detecting DMVOs using Tmax maps, with diagnostic accuracy (area under the receiver-operating characteristic curves) and speed that were significantly (P<0.001) higher than on CTA.Territorial Tmax delay had perfect sensitivity and high specificity for a DMVO. Tmax maps were accurately and rapidly interpreted by even inexperienced readers, and causes of false positives are easy to recognize and dismiss. These findings encourage the use of Tmax to identify patients with DMVOs.ConclusionsTerritorial Tmax delay had perfect sensitivity and high specificity for a DMVO. Tmax maps were accurately and rapidly interpreted by even inexperienced readers, and causes of false positives are easy to recognize and dismiss. These findings encourage the use of Tmax to identify patients with DMVOs. Distal medium vessel occlusions (DMVOs) are increasingly considered for endovascular thrombectomy but are difficult to detect on computed tomography angiography (CTA). We aimed to determine whether time-to-maximum of tissue residue function (Tmax) maps, derived from CT perfusion, can be used as a triage screening tool to accurately and rapidly identify patients with DMVOs. Consecutive code stroke patients who underwent multimodal CT were screened retrospectively. Two experienced readers evaluated all patients’ Tmax maps in consensus for presence of delay in an arterial territory (territorial Tmax delay). The diagnostic accuracy of this surrogate for identifying DMVOs was determined using receiver-operating characteristic analysis. CTA, interpreted by 2 experienced neuroradiologists with access to all imaging data, served as the reference standard. Diagnostic performance of 4 other readers with different levels of experience for identifying DMVOs on Tmax versus CTA was also assessed. These readers independently assessed patients’ Tmax maps and CTAs in 2 separate timed sessions, and areas under the receiver-operating characteristic curves were compared using the DeLong algorithm. The Wilcoxon signed-rank test was used to comparatively assess diagnostic speed. Three hundred seventy-three code stroke patients (median age, 70 years; 56% male, 70 with a DMVO) were included. Territorial Tmax delay had a sensitivity of 100% (CI95, 94.9%–100%) and specificity of 87.8% (CI95, 83.6%–91.3%) for presence of a DMVO, yielding an area under the receiver-operating characteristic curves of 0.939 (CI95, 0.920–0.957). All 4 readers achieved sensitivity >95% and specificity >84% for detecting DMVOs using Tmax maps, with diagnostic accuracy (area under the receiver-operating characteristic curves) and speed that were significantly (P<0.001) higher than on CTA. Territorial Tmax delay had perfect sensitivity and high specificity for a DMVO. Tmax maps were accurately and rapidly interpreted by even inexperienced readers, and causes of false positives are easy to recognize and dismiss. These findings encourage the use of Tmax to identify patients with DMVOs. |
| Author | Page, Inna Zhou, Kevin Bammer, Roland Amukotuwa, Shalini A. Brotchie, Peter Wu, Angel |
| AuthorAffiliation | Diagnostic Imaging, Monash Health, Clayton, Australia (S.A.A., A.W., K.Z.) Department of Radiology, The Royal Melbourne Hospital, Parkville, Australia (I.P., R.B.) Department of Radiology, Barwon Health, Geelong, Australia (S.A.A., P.B.) |
| AuthorAffiliation_xml | – name: Diagnostic Imaging, Monash Health, Clayton, Australia (S.A.A., A.W., K.Z.) – name: Department of Radiology, Barwon Health, Geelong, Australia (S.A.A., P.B.) – name: Department of Radiology, The Royal Melbourne Hospital, Parkville, Australia (I.P., R.B.) |
| Author_xml | – sequence: 1 givenname: Shalini A. surname: Amukotuwa fullname: Amukotuwa, Shalini A. organization: Department of Imaging, School of Clinical Sciences, Monash University, Clayton, Australia (S.A.A.) – sequence: 2 givenname: Angel surname: Wu fullname: Wu, Angel organization: Diagnostic Imaging, Monash Health, Clayton, Australia (S.A.A., A.W., K.Z.) – sequence: 3 givenname: Kevin surname: Zhou fullname: Zhou, Kevin organization: Diagnostic Imaging, Monash Health, Clayton, Australia (S.A.A., A.W., K.Z.) – sequence: 4 givenname: Inna surname: Page fullname: Page, Inna organization: Department of Radiology, The Royal Melbourne Hospital, Parkville, Australia (I.P., R.B.) – sequence: 5 givenname: Peter surname: Brotchie fullname: Brotchie, Peter organization: Department of Radiology, Barwon Health, Geelong, Australia (S.A.A., P.B.) – sequence: 6 givenname: Roland surname: Bammer fullname: Bammer, Roland organization: Department of Radiology, The Royal Melbourne Hospital, Parkville, Australia (I.P., R.B.) |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/34233460$$D View this record in MEDLINE/PubMed |
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| Snippet | Distal medium vessel occlusions (DMVOs) are increasingly considered for endovascular thrombectomy but are difficult to detect on computed tomography... |
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| SubjectTerms | Aged Aged, 80 and over Algorithms Arterial Occlusive Diseases - diagnostic imaging Computed Tomography Angiography - methods False Positive Reactions Female Humans Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Ischemic Stroke - diagnostic imaging Ischemic Stroke - surgery Male Mass Screening Middle Aged Perfusion Imaging Retrospective Studies ROC Curve Sensitivity and Specificity Thrombectomy Tomography, X-Ray Computed - methods Triage |
| Title | Distal Medium Vessel Occlusions Can Be Accurately and Rapidly Detected Using Tmax Maps |
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