Objective To construct a predictive model for patients with verte-brobasilar dolichoectasia(VBD)complicated by posterior circulation acute cerebral infarction(ACI)based on the characteristics of verte-brobasilar artery magnetic resonance vascular wall imaging(MR-VWI),thereby providing a reference for clinical prevention.Methods A total of 102 patients with VBD complicated by posterior circulation ACI who were admitted to our hospital between March 2016 and January 2023 were selected as the concurrent group.An addi-tional 102 patients with VBD without concurrent posterior circulation ACI were selected as the non-concurrent group at a 1∶1 ratio.The MR-VWI characteristics(basilar artery[BA]diameter,BA length,vertebral artery[VA]intracranial segment length,BA deviation grade,and BA bifurcation height grade)and clinical data of the two groups were compared,and the factors influencing posterior circulation ACI in patients with VBD were analyzed.Based on the MR-VWI features and related influencing factors,a nomogram prediction model of pos-terior circulation ACI in patients with VBD was constructed,and the clinical significance of the nomogram prediction model was evaluated using receiver operating characteristic(ROC)and calibration curves.Results A significant difference were observed in the D-dimer levels between the two groups(P＜0.05).BA diameter,BA length,and VA intracranial length were greater in the concurrent group than in the non-concurrent group.The proportion of BA bifurcation height grade ≥ 2 and BA deviation grade≥2 in the concurrent group was higher than that in the non-concurrent group(P＜0.05).BA diameter,BA length,BA bifurcation height classification,BA deviation classi-fication,and D-dimer level were all independent risk factors for posterior circulation ACI in patients with VBD(P＜0.05).The area under the curve of the posterior circulation ACI predicted using the nomogram model was 0.900(95％CI:0.858-0.943),and good calibration was noted.Conclusion BA diameter,BA length,BA bifurcation height classification,BA offset classification,and D-dimer level were inde-pendent influencing factors of posterior circulation ACI in patients with VBD.Based on these factors,a nomogram prediction model was constructed with high prediction efficiency and good calibration.

Objective To construct a predictive model for patients with verte-brobasilar dolichoectasia(VBD)complicated by posterior circulation acute cerebral infarction(ACI)based on the characteristics of verte-brobasilar artery magnetic resonance vascular wall imaging(MR-VWI),thereby providing a reference for clinical prevention.Methods A total of 102 patients with VBD complicated by posterior circulation ACI who were admitted to our hospital between March 2016 and January 2023 were selected as the concurrent group.An addi-tional 102 patients with VBD without concurrent posterior circulation ACI were selected as the non-concurrent group at a 1∶1 ratio.The MR-VWI characteristics(basilar artery[BA]diameter,BA length,vertebral artery[VA]intracranial segment length,BA deviation grade,and BA bifurcation height grade)and clinical data of the two groups were compared,and the factors influencing posterior circulation ACI in patients with VBD were analyzed.Based on the MR-VWI features and related influencing factors,a nomogram prediction model of pos-terior circulation ACI in patients with VBD was constructed,and the clinical significance of the nomogram prediction model was evaluated using receiver operating characteristic(ROC)and calibration curves.Results A significant difference were observed in the D-dimer levels between the two groups(P＜0.05).BA diameter,BA length,and VA intracranial length were greater in the concurrent group than in the non-concurrent group.The proportion of BA bifurcation height grade ≥ 2 and BA deviation grade≥2 in the concurrent group was higher than that in the non-concurrent group(P＜0.05).BA diameter,BA length,BA bifurcation height classification,BA deviation classi-fication,and D-dimer level were all independent risk factors for posterior circulation ACI in patients with VBD(P＜0.05).The area under the curve of the posterior circulation ACI predicted using the nomogram model was 0.900(95％CI:0.858-0.943),and good calibration was noted.Conclusion BA diameter,BA length,BA bifurcation height classification,BA offset classification,and D-dimer level were inde-pendent influencing factors of posterior circulation ACI in patients with VBD.Based on these factors,a nomogram prediction model was constructed with high prediction efficiency and good calibration.