Scopus
YÖKSİS Eşleşti
Precise discrimination between meningiomas and schwannomas using time-to-signal intensity curves and percentage signal recoveries obtained from dynamic susceptibility perfusion imaging
Journal of Neuroradiology · Mayıs 2021
YÖKSİS Kayıtları
Precise discrimination between meningiomas and schwannomas using time-to-signal intensity curves and percentage signal recoveries obtained from dynamic susceptibility perfusion imaging
Journal of Neuroradiology · 2021 SCI-Expanded
DOÇENT MERT ŞAHİNOĞLU →
Precise discrimination between meningiomas and schwannomas using time-to-signal intensity curves and percentage signal recoveries obtained from dynamic susceptibility perfusion imaging
Journal of Neuroradiology · 2021 SCI-Expanded
DOÇENT HAKAN CEBECİ →
Precise discrimination between meningiomas and schwannomas using time-to-signal intensity curves and percentage signal recoveries obtained from dynamic susceptibility perfusion imaging
Journal of Neuroradiology · 2021 SCI-Expanded
DOKTOR ÖĞRETİM ÜYESİ NUSRET SEHER →
Precise discrimination between meningiomas and schwannomas using time-to-signal intensity curves and percentage signal recoveries obtained from dynamic susceptibility perfusion imaging
Journal of Neuroradiology · 2021 SCI-Expanded
DOÇENT ABİDİN KILINÇER →
Makale Bilgileri
DergiJournal of Neuroradiology
Yayın TarihiMayıs 2021
Cilt / Sayfa48 · 157-163
Scopus ID2-s2.0-85092756924
Özet
Background and purpose: Meningiomas and schwannomas are common extra-axial brain tumors. Discrimination is challenging in some locations when characteristic imaging features are absent. This study investigated the accuracy of percentage signal recoveries obtained from dynamic susceptibility contrast perfusion imaging (DSC-PI) in discriminating meningiomas and schwannomas. Material and methods: Retrospective database research was conducted. Sixty nine meningioma and 15 schwannoma having DSC-PI between January 2016 and February 2020 were included. Time to signal intensity curves (TSIC) were analyzed and grouped as T1-dominant leakage, T2*-dominant leakage and return to baseline. Relative cerebral blood volume (rCBV), relative mean transit time (rMTT), percentage signal recovery 1 (PSR 1) and PSR 2 values were calculated. The differences between the groups were investigated. Receiver operating characteristic curves were operated. Results: rCBV, rMTT, PSR 1 and PSR 2 values were statistically different between meningiomas and schwannomas. PSR 2 provided the best discrimination. With the cut off value of 1.08 for PSR 2, meningiomas and schwannomas were differentiated with 95.7% sensitivity and 93.3% specificity. TSICs were also different between two groups. Most of meningiomas showed T2*-dominant leakage (78.2%), whereas most of shwannomas showed T1-dominant leakage (93.3%). Conclusion: DSC-PI is a useful imaging tool for non-invasive discrimination of meningiomas and schwannomas. Particularly, percentage signal recoveries discriminates meningiomas and schwannomas with high sensitivity and specificity.
Yazarlar (8)
1
Hakan Cebeci
2
Abidin Kılınçer
3
Halil Ibrahim Duran
4
N. Seher
ORCID: 0000-0003-2296-556X
5
Mert Sahinoglu
ORCID: 0000-0003-0633-8304
6
Hakan Karabagli
7
Pınar Karabağlı
ORCID: 0000-0002-5558-0175
8
Y. Paksoy
Anahtar Kelimeler
Imaging
Magnetic resonance
Meningioma
Percentage signal recovery
Perfusion
Schwannoma
Kurumlar
Hamad Medical Corporation
Doha Qatar
Selçuk Tip Fakültesi
Konya Turkey
Metrikler
3
Atıf
8
Yazar
6
Anahtar Kelime