{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T20:29:16Z","timestamp":1788294556858,"version":"build-2803163510"},"reference-count":29,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2025,5,24]],"date-time":"2025-05-24T00:00:00Z","timestamp":1748044800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Korean government (MSIT)","award":["2022R1A5A1022977"],"award-info":[{"award-number":["2022R1A5A1022977"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JCM"],"abstract":"<jats:p>Background\/Objectives: The fetal-type posterior cerebral artery (fetal PCA) is an anatomical variant that alters hemodynamics and may influence posterior communicating artery (PCoA) aneurysm rupture risk. Aneurysm shape and size irregularity are key rupture predictors. This study investigates the impact of fetal PCA on PCoA aneurysm morphology and rupture risk using a radiomics-based approach. Methods: We retrospectively analyzed 87 patients with PCoA aneurysms (39 ruptured, 48 unruptured) treated at a tertiary center (January 2017\u2013December 2022). Seventeen morphological parameters and 18 radiomic features were extracted per aneurysm. Patients were grouped by fetal PCA presence. Logistic regression and receiver operating characteristic (ROC) analyses identified rupture predictors. Results: Of 87 aneurysms, 38 had fetal PCA (24 ruptured, 14 unruptured), and 49 did not (15 ruptured, 34 unruptured). Fetal PCA was significantly associated with rupture (odds ratio [OR]: 3.28, p = 0.018). A higher non-sphericity index (NSI) correlated with rupture risk (OR: 3.35, p = 0.016). In non-fetal PCA aneurysms, size-related parameters such as height (6.83 \u00b1 3.54 vs. 4.88 \u00b1 2.57 mm, p = 0.034) and area (190.84 \u00b1 167.08 vs. 107.94 \u00b1 103.10 mm2, p = 0.046) were key rupture predictors. In fetal PCA aneurysms, flow-related parameters like vessel angle (55.78 \u00b1 31.39 vs. 38.51 \u00b1 24.71, p = 0.035) were more influential. ROC analysis showed good discriminatory power, with an area under the curve: 0.726 for fetal PCA and 0.706 for NSI. Conclusions: Fetal PCA influences PCoA aneurysm rupture risk and morphology. NSI is a reliable rupture marker. Integrating morphological and anatomical data may improve rupture risk assessment and clinical decision-making.<\/jats:p>","DOI":"10.3390\/jcm14113682","type":"journal-article","created":{"date-parts":[[2025,5,25]],"date-time":"2025-05-25T20:26:50Z","timestamp":1748204810000},"page":"3682","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Influence of Fetal-Type Posterior Cerebral Artery on Morphological Characteristics and Rupture Risk of Posterior Communicating Artery Aneurysms: A Radiomics Approach"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-5942-2836","authenticated-orcid":false,"given":"Kunhee","family":"Han","sequence":"first","affiliation":[{"name":"Department of Neurosurgery, Hanyang University Medical Center, Hanyang University College of Medicine, Seoul 04763, Republic of Korea"},{"name":"Center for Precision Medicine Platform Based on Smart Hemo-Dynamic Index, Seoul 04763, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Minu","family":"Nahm","sequence":"additional","affiliation":[{"name":"Department of Neurosurgery, Hanyang University Medical Center, Hanyang University College of Medicine, Seoul 04763, Republic of Korea"},{"name":"Center for Precision Medicine Platform Based on Smart Hemo-Dynamic Index, Seoul 04763, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4936-0432","authenticated-orcid":false,"given":"Shin-Woong","family":"Ko","sequence":"additional","affiliation":[{"name":"Department of Neurosurgery, Hanyang University Medical Center, Hanyang University College of Medicine, Seoul 04763, Republic of Korea"},{"name":"Center for Precision Medicine Platform Based on Smart Hemo-Dynamic Index, Seoul 04763, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2678-4902","authenticated-orcid":false,"given":"Hyeong-Joong","family":"Yi","sequence":"additional","affiliation":[{"name":"Department of Neurosurgery, Hanyang University Medical Center, Hanyang University College of Medicine, Seoul 04763, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hyoung-Joon","family":"Chun","sequence":"additional","affiliation":[{"name":"Department of Neurosurgery, Hanyang University Medical Center, Hanyang University College of Medicine, Seoul 04763, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Young-Jun","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Radiology, Hanyang University Medical Center, Hanyang University College of Medicine, Seoul 04763, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sang Hyung","family":"Lee","sequence":"additional","affiliation":[{"name":"Center for Precision Medicine Platform Based on Smart Hemo-Dynamic Index, Seoul 04763, Republic of Korea"},{"name":"Department of Neurosurgery, Jeju National University Hospital, Jeju National University College of Medicine, Jeju 63241, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7846-4700","authenticated-orcid":false,"given":"Jaiyoung","family":"Ryu","sequence":"additional","affiliation":[{"name":"Center for Precision Medicine Platform Based on Smart Hemo-Dynamic Index, Seoul 04763, Republic of Korea"},{"name":"Department of Mechanical Engineering, Korea University, Seoul 02841, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Simon","family":"Song","sequence":"additional","affiliation":[{"name":"Center for Precision Medicine Platform Based on Smart Hemo-Dynamic Index, Seoul 04763, Republic of Korea"},{"name":"Department of Mechanical Convergence Engineering, Hanyang University, Seoul 04763, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kyu-Sun","family":"Choi","sequence":"additional","affiliation":[{"name":"Department of Neurosurgery, Hanyang University Medical Center, Hanyang University College of Medicine, Seoul 04763, Republic of Korea"},{"name":"Center for Precision Medicine Platform Based on Smart Hemo-Dynamic Index, Seoul 04763, Republic of Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,5,24]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"88","DOI":"10.4103\/2152-7806.74147","article-title":"A review of the management of posterior communicating artery aneurysms in the modern era","volume":"1","author":"Golshani","year":"2010","journal-title":"Surg. 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