Raffaella Capasso1,2, Stefano Vallone3, Nicola Serra4, Gabriele Zelent3, Luca Verganti3, Federico Sacchetti3, Guido Bigliardi5, Livio Picchetto5, Ferdinando Caranci6,7, Andrea Zini8. 1. Department of Medicine and Health Science "V. Tiberio", University of Molise, Via Francesco De Sanctis, 1, 86100, Campobasso, Italy. dott.ssacapasso@gmail.com. 2. Department of Precision Medicine, School of Medicine, "Luigi Vanvitelli" University of Campania, Naples, Italy. dott.ssacapasso@gmail.com. 3. Neuroradiology Unit, Ospedale Civile S.Agostino-Estense, Azienda Ospedaliero-Universitaria di Modena, Dipartimento di Neuroscienze, University of Modena and Reggio Emilia, Modena, Italy. 4. Statistic Unit, Department of Public Health, University of Federico II, Naples, Italy. 5. Stroke Unit, Ospedale Civile S.Agostino-Estense, Azienda Ospedaliero-Universitaria di Modena, Dipartimento di Neuroscienze, University of Modena and Reggio Emilia, Modena, Italy. 6. Department of Medicine and Health Science "V. Tiberio", University of Molise, Via Francesco De Sanctis, 1, 86100, Campobasso, Italy. 7. Department of Precision Medicine, School of Medicine, "Luigi Vanvitelli" University of Campania, Naples, Italy. 8. IRCCS Istituto delle Scienze Neurologiche di Bologna, Department of Neurology and Stroke Center, Maggiore Hospital, Bologna, Italy.
Abstract
PURPOSE: To compare the diagnostic accuracy (ACC) in the detection of acute posterior circulation strokes between qualitative evaluation of software-generated colour maps and automatic assessment of CT perfusion (CTP) parameters. METHODS: Were retrospectively collected 50 patients suspected of acute posterior circulation stroke who underwent to CTP (GE "Lightspeed", 64 slices) within 24 h after symptom onset between January 2016 and December 2018. The Posterior circulation-Acute Stroke Prognosis Early CT Score (pc-ASPECTS) was used for quantifying the extent of ischaemic areas on non-contrast (NC)CT and colour-coded maps generated by CTP4 (GE) and RAPID (iSchemia View) software. Final pc-ASPECTS was calculated on follow-up NCCT and/or MRI (Philips Intera 3.0 T or Philips Achieva Ingenia 1.5 T). RAPID software also elaborated automatic quantitative mismatch maps. RESULTS: By qualitative evaluation of colour-coded maps, MTT-CTP4D and Tmax-RAPID showed the highest sensitivity (SE) (88.6% and 90.9%, respectively) and ACC (84% and 88%, respectively) compared with the other perfusion parameters (CBV, CBF). Baseline NCCT and CBF provided by RAPID quantitative perfusion mismatch maps had the lowest SE (29.6% and 6.8%, respectively) and ACC (38% and 18%, respectively). CBF and Tmax assessment provided by quantitative RAPID perfusion mismatch maps showed significant lower SE and ACC than qualitative evaluation. No significant differences were found between the pc-ASPECTSs assessed on colour-coded MTT and Tmax maps neither between the scores assessed on colour-coded CBV-CTP4D and CBF-RAPID maps. CONCLUSION: Qualitative analysis of colour-coded maps resulted more sensitive and accurate in the detection of ischaemic changes than automatic quantitative analysis.
PURPOSE: To compare the diagnostic accuracy (ACC) in the detection of acute posterior circulation strokes between qualitative evaluation of software-generated colour maps and automatic assessment of CT perfusion (CTP) parameters. METHODS: Were retrospectively collected 50 patients suspected of acute posterior circulation stroke who underwent to CTP (GE "Lightspeed", 64 slices) within 24 h after symptom onset between January 2016 and December 2018. The Posterior circulation-Acute Stroke Prognosis Early CT Score (pc-ASPECTS) was used for quantifying the extent of ischaemic areas on non-contrast (NC)CT and colour-coded maps generated by CTP4 (GE) and RAPID (iSchemia View) software. Final pc-ASPECTS was calculated on follow-up NCCT and/or MRI (Philips Intera 3.0 T or Philips Achieva Ingenia 1.5 T). RAPID software also elaborated automatic quantitative mismatch maps. RESULTS: By qualitative evaluation of colour-coded maps, MTT-CTP4D and Tmax-RAPID showed the highest sensitivity (SE) (88.6% and 90.9%, respectively) and ACC (84% and 88%, respectively) compared with the other perfusion parameters (CBV, CBF). Baseline NCCT and CBF provided by RAPID quantitative perfusion mismatch maps had the lowest SE (29.6% and 6.8%, respectively) and ACC (38% and 18%, respectively). CBF and Tmax assessment provided by quantitative RAPID perfusion mismatch maps showed significant lower SE and ACC than qualitative evaluation. No significant differences were found between the pc-ASPECTSs assessed on colour-coded MTT and Tmax maps neither between the scores assessed on colour-coded CBV-CTP4D and CBF-RAPID maps. CONCLUSION: Qualitative analysis of colour-coded maps resulted more sensitive and accurate in the detection of ischaemic changes than automatic quantitative analysis.
Authors: In Hyouk Lee; Joshua H You; Ji Yong Lee; Kum Whang; Myung Soon Kim; Young Ju Kim; Myeong Sub Lee Journal: Neuroradiology Date: 2010-04-13 Impact factor: 2.804
Authors: Erik J R J van der Hoeven; Jan Willem Dankbaar; Ale Algra; Jan Albert Vos; Joris M Niesten; Tom van Seeters; Irene C van der Schaaf; Wouter J Schonewille; L Jaap Kappelle; Birgitta K Velthuis Journal: Stroke Date: 2015-03-05 Impact factor: 7.914
Authors: Fabrizio Giammello; Sara Rosa Maria De Martino; Luigi Simonetti; Raffaele Agati; Stella Battaglia; Luigi Cirillo; Mauro Gentile; Ludovica Migliaccio; Stefano Forlivesi; Michele Romoli; Ciro Princiotta; Caterina Tonon; Silvia Stagni; Simone Galluzzo; Raffaele Lodi; Giuseppe Trimarchi; Antonio Toscano; Rosa Fortunata Musolino; Andrea Zini Journal: Radiol Med Date: 2022-02-28 Impact factor: 3.469