Validation of a Novel Multiphase CTA Perfusion Tool Compared to CTP in Patients With Suspected Acute Ischemic Stroke

BackgroundWe recently developed a novel machine learning‐based algorithm using multiphase computed tomography angiography (mCTA) to generate perfusion maps of the brain, similar to computed tomography perfusion (CTP) (ie, multiphase CTA perfusion [mCTAp]). Here, we aim to validate the clinical utili...

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Veröffentlicht in:Stroke: vascular and interventional neurology 2023-05, Vol.3 (3)
Hauptverfasser: Benali, Faysal, Zhang, Jianhai, Nayem Pinky, Najratun, Bala, Fouzi, Alhabli, Ibrahim, Golan, Rotem, Souto Maior Neto, Luis A., Elebute, Ibukun, Duszynski, Chris, Qiu, Wu, Menon, Bijoy K.
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Sprache:eng
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Zusammenfassung:BackgroundWe recently developed a novel machine learning‐based algorithm using multiphase computed tomography angiography (mCTA) to generate perfusion maps of the brain, similar to computed tomography perfusion (CTP) (ie, multiphase CTA perfusion [mCTAp]). Here, we aim to validate the clinical utility of mCTAp in detection of brain ischemia and its side, extent, and location.MethodsIn this prospective multi‐reader‐multi‐case analysis, we included baseline images: mCTAp (StrokeSENS‐algorithm) and CTP (4D; GE Healthcare) from 121 randomly selected patients whose scans were not part of algorithm‐development. After excluding 2/121 scans because of poor image‐quality, 3 experienced radiologists read time to maximum, and relative cerebral blood flow‐maps generated by the test (mCTAp) and reference (CTP) modality. The 2 reading sessions were separated by 5 days although the reading order was randomized. Core laboratory imaging assessments – that used non contrast computed tomography, mCTA, and CTP – were considered as ground‐truth. A mixed‐effects statistical model with “reader” as random effects variable was used to calculate the area under the curve (with 95% CI), sensitivity, and specificity for both modalities (mCTAp/CTP) for ischemia detection, affected side, and occlusion location. The time required for interpretation and inter‐rater variability in assessments were compared across the 2 modalities.ResultsArea under the curves (95% CI) for detecting ischemia using mCTAp and CTP were 0.85 (95% CI, 0.8–0.9) and 0.84 (0.8–0.9) respectively (P=0.43). Area under the curves for the affected side were 0.94 (0.92–0.97) and 0.96 (0.94–0.98) (P=0.69), respectively; for detecting large vessel occlusion were 0.84 (0.8–0.9) and 0.86 (0.8–0.9), (P=0.31), respectively; M2‐or‐distal occlusion were 0.79 (0.73–0.84) and 0.88 (0.83–0.92) (P=0.22), respectively, for anterior cerebral artery‐occlusion 0.82 (0.66–0.98) and 0.93 (0.82–1.00) (P=0.15), respectively, and for posterior cerebral artery‐occlusions 0.9 (0.8–1) and 0.99 (0.98–0.99) (P=0.01), respectively. The median (interquartile range [IQR]) time for image interpretation was 62 seconds (IQR, 46–78) and 59 seconds (IQR, 42–69) for mCTAp and CTP, respectively, (P=0.15). Fleiss` Kappa‐values for inter‐rater reliability in detecting ischemia were 0.5 and 0.8 for mCTAp and CTP, respectively.ConclusionmCTAp shows similar performance and interpretation times compared to CTP in assisting readers to detect brain ischemia, affect
ISSN:2694-5746
2694-5746
DOI:10.1161/SVIN.122.000811