Quantitative digital subtraction angiography analysis and predictive factors for incomplete occlusion in posterior communicating artery aneurysms after endovascular treatment.

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Bibliographic Details
Title: Quantitative digital subtraction angiography analysis and predictive factors for incomplete occlusion in posterior communicating artery aneurysms after endovascular treatment.
Authors: Hu SQ; Beijing Neurosurgical Institute, Capital Medical University, Beijing, China. hsqhuaqi@163.com.; Beijing TianTan Hospital, Capital Medical University, Beijing, China. hsqhuaqi@163.com., Zeng C; Beijing TianTan Hospital, Capital Medical University, Beijing, China.; China National Clinical Research Center for Neurological Diseases, Beijing Tian Tan Hospital, Beijing, China., Yao J; Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.; Beijing TianTan Hospital, Capital Medical University, Beijing, China., Turhon M; Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.; Beijing TianTan Hospital, Capital Medical University, Beijing, China., Liu T; Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.; Beijing TianTan Hospital, Capital Medical University, Beijing, China., Li W; Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.; Beijing TianTan Hospital, Capital Medical University, Beijing, China., Yang X; Beijing Neurosurgical Institute, Capital Medical University, Beijing, China. yangxinjian@voiceoftiantan.org.; Beijing TianTan Hospital, Capital Medical University, Beijing, China. yangxinjian@voiceoftiantan.org.
Source: Neuroradiology [Neuroradiology] 2025 Dec; Vol. 67 (12), pp. 3397-3407. Date of Electronic Publication: 2025 Sep 26.
Publication Type: Journal Article
Journal Info: Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 1302751 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1920 (Electronic) Linking ISSN: 00283940 NLM ISO Abbreviation: Neuroradiology Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1432-1920
DOI:10.1007/s00234-025-03780-1