Baseline characteristics of the study population
This study screened 218 consecutive patients presenting with suspected anterior circulation large vessel occlusion within the 6–24‑h extended treatment window, with 152 individuals ultimately enrolled for final analysis (Figure 1). The final cohort consisted of 89 male (58.6%) and 63 female (41.4%) patients, with a median age of 68.5 years (IQR: 60.0–76.0 years). Participants were stratified into four subgroups according to baseline HIR values and Tan collateral grades: Group A (favorable HIR and intact collateral circulation, n = 42), Group B (favorable HIR with poor collateral perfusion, n = 38), Group C (unfavorable HIR with robust collateral compensation, n = 35), and Group D (dual unfavorable HIR and collateral status, n = 37). Baseline demographic profiles, comorbid conditions, general clinical indicators, and partial imaging biomarkers were comparable across the four groups, with no statistically significant differences detected (P > 0.05).
In terms of baseline neurological severity, Group D exhibited significantly higher stroke severity, with a median admission NIHSS score of 18.0 (IQR: 14.0–22.0), which was markedly higher than the other three subgroups (P < 0.05). Imaging analysis revealed distinct intergroup differences in perfusion parameters. Group D presented substantially larger baseline ischemic core lesions, broader hypoperfusion areas at both Tmax > 6 s and Tmax > 10 s thresholds, and lower CBV index values (all P < 0.001). By contrast, Group A demonstrated the lowest baseline HIR level (median 0.32; IQR: 0.21–0.38) and significantly superior Tan collateral scores relative to the remaining cohorts (P < 0.001). No significant discrepancies were observed in key temporal metrics, including onset-to-door time, door-to-puncture time, and overall onset-to-puncture time across all groups (all P > 0.05). Comprehensive baseline data are summarized in Table 1.
Comparison of treatment-related indicators
Procedural characteristics were generally balanced among the four groups. No intergroup differences were found in EVT procedural modalities (including conventional mechanical thrombectomy, balloon angioplasty, stent deployment, and combined interventions), bridging intravenous thrombolysis rates, or postoperative standardized antiplatelet and statin administration rates (P > 0.05). Nevertheless, significant disparities were identified in reperfusion efficacy and procedural performance. Successful reperfusion, defined as mTICI 2b–3 on final DSA, was achieved in 88.1% of Group A, considerably exceeding the rates of 63.2% in Group B, 57.1% in Group C, and 35.1% in Group D (P < 0.001). When reperfusion was corroborated by a ≥90% reduction in Tmax >6 s hypoperfusion volume on 24-h perfusion scans, the same hierarchical intergroup pattern was observed with higher overall rates across all subgroups (Group A: 92.9%, Group B: 71.1%, Group C: 65.7%, Group D: 45.9%; P < 0.001). Procedural efficiency also varied significantly by imaging stratification. Group A had a median operative duration of 85.0 min (IQR: 72.0–98.0 min), which was notably shorter than Group D’s procedural time of 105.0 min (IQR: 88.0–120.0 min, P < 0.05), while no obvious differences existed between Group A and Groups B/C. In addition, Group A required fewer thrombectomy attempts (median = 1.0; IQR: 1.0–2.0) than Group D (median = 3.0; IQR: 2.0–4.0, P < 0.001). Correspondingly, Group A yielded the highest first-pass reperfusion rate at 71.4%, whereas Group D showed the lowest rate at 24.3% (P < 0.001), as illustrated in Figure 1.
Comparison of imaging outcomes
Postoperative 24-h imaging biomarkers demonstrated significant intergroup heterogeneity (all P < 0.001). Group A exhibited the smallest final infarct volume at 22.5 mL (IQR: 15.3–30.2 mL), compared with 38.6 mL in Group B, 42.3 mL in Group C, and 98.5 mL in Group D. Similarly, Group A showed the mildest infarct expansion, with a growth rate of 175.6%, far lower than the rates of 267.6%, 274.3%, and 244.4% observed in Groups B, C, and D, respectively. At 24 h post-intervention, Group A’s HIR decreased substantially to 0.08 (IQR: 0.03–0.25), which was significantly lower than the postoperative HIR values of the other three cohorts. In terms of cerebral blood perfusion recovery, Group A achieved a postoperative CBV index of 0.78 (IQR: 0.68–0.85), which was markedly higher than Group D’s value of 0.45 (IQR: 0.35–0.55, P < 0.001), while no statistical difference was found between Group A and Groups B/C (P > 0.05) (Figure 2).
Comparison of clinical outcomes and safety profiles
Ninety-day functional prognosis differed substantially across stratified subgroups. Group A attained a favorable functional outcome rate (mRS 0–2) of 69.0%, which was significantly higher than the 44.7% in Group B, 40.0% in Group C, and 16.2% in Group D (P < 0.001). The median 90-day mRS score in Group A was 2.0, reflecting superior long-term functional recovery relative to the other groups.
With regard to safety endpoints, the incidence of early neurological deterioration was comparable across all groups (P = 0.845). Group A presented a low sICH rate of 4.8%, which was significantly lower than Group D's rate of 21.6% (P = 0.039, Fisher's exact test), with no statistical differences between Group A and Groups B/C. The 90-day mortality rate in Group A was only 7.1%, markedly lower than Group D's 27.0% (P = 0.031, Fisher's exact test). Groups B and C showed intermediate mortality levels, which did not differ significantly from Group A. Additionally, secondary adverse events, including pulmonary infection and gastrointestinal bleeding, exhibited similar incidence rates among all cohorts (P > 0.05). Detailed safety and functional data are listed in Table 2.
Typical cases and representative imaging
To illustrate the divergent clinical trajectories across the imaging spectrum, we present two representative cases (Figure 3). Case 1, a 67-year-old male from Group A, presented with acute right limb weakness and dysarthria 12 h after onset. Baseline CTP revealed an ischemic core of 8.5 mL, a Tmax >6 s hypoperfusion volume of 92.3 mL, and a Tmax >10 s hypoperfusion volume of 29.5 mL, yielding a favorable HIR of 0.32 (Figure 3A). CT angiography demonstrated robust collateral filling with a Tan score of 3. Emergency mechanical thrombectomy achieved complete recanalization (mTICI grade 3). As shown in Figure 3B, HIR decreased markedly from 0.32 to 0.07 at 24 h post-EVT, while infarct volume expanded modestly from 8.5 mL to 23.2 mL. Consequently, the infarct growth rate was contained at 172.9%, and the patient achieved an mRS score of 1 at 90 days with no symptomatic intracranial hemorrhage (Figure 3C), indicating independent functional status.
In contrast, Case 2, a 70-year-old female from Group D, was admitted with acute left hemiplegia and confusion 18 h after onset. Baseline CTP showed substantially larger perfusion deficits: an ischemic core of 30.2 mL, a Tmax >6 s volume of 148.5 mL, and a Tmax >10 s volume of 98.6 mL, resulting in a poor HIR of 0.66 (Figure 3A). CTA confirmed minimal collateral filling (Tan score 1). Despite mechanical thrombectomy combined with balloon angioplasty, only partial recanalization (mTICI grade 2a) was achieved. Figure 3B demonstrates minimal improvement in HIR (0.66 to 0.63) and dramatic infarct progression from 30.2 mL to 102.5 mL. This patient's infarct growth rate reached 239.4%, and the patient developed symptomatic intracranial hemorrhage on postoperative day 3. At 90-day follow-up, the mRS score was 5, reflecting severe disability requiring long-term family care (Figure 3C).
Multivariate logistic regression analysis
90-day favorable clinical outcome (mRS 0–2 scores): Multivariate logistic regression was performed to screen independent prognostic factors for favorable 90-day functional outcomes. The regression model incorporated HIR status, collateral grade, age, baseline NIHSS score, initial ischemic core volume, onset-to-puncture time, and postoperative reperfusion grade as predictive variables. All variables yielded VIF values below 2.5, verifying the absence of multicollinearity. The Hosmer-Lemeshow test (χ² = 6.42, P = 0.601) confirmed satisfactory model fitness. Regression results indicated that favorable HIR (OR = 3.274, 95% CI: 1.582–6.772, P = 0.002) and intact collateral circulation (OR = 3.516, 95% CI: 1.703–7.257, P = 0.001) served as independent protective factors for favorable post-EVT prognosis. Higher baseline NIHSS scores and larger initial ischemic core volumes independently increased the risk of poor functional recovery (both P < 0.05). In contrast, patient age and onset-to-puncture interval showed no independent prognostic value (P = 0.235 and P = 0.412, respectively). Detailed regression outputs are presented in Table 3.
Symptomatic intracranial hemorrhage: Separate regression analysis for postoperative sICH complications demonstrated that favorable HIR (OR = 0.215, 95% CI: 0.058–0.798, P = 0.022) and satisfactory collateral perfusion (OR = 0.208, 95% CI: 0.056–0.772, P = 0.020) independently reduced hemorrhage risk. Conversely, increased baseline ischemic core volume was an independent risk predictor for sICH occurrence (OR = 1.082, 95% CI: 1.025–1.142, P = 0.005).
Predictive performance of combined imaging assessment
ROC analysis was conducted to quantify the predictive efficacy of single and combined imaging biomarkers for long-term functional prognosis. The integrated HIR-collateral model achieved an AUC of 0.84 (95% CI: 0.77–0.91) for predicting favorable 90-day outcomes, which was statistically superior to isolated HIR assessment (AUC = 0.72, P = 0.012) and standalone collateral grading (AUC = 0.74, P = 0.018). The full multivariate model integrating clinical covariates (age, baseline NIHSS, ischemic core volume, onset-to-puncture time, and reperfusion status) yielded an AUC of 0.89 (95% CI: 0.83–0.95). Although the full model exhibited slightly higher predictive accuracy, no significant difference was detected compared with the dual imaging combination model (DeLong test, P = 0.18). These findings validate that combining HIR and collateral evaluation provides robust incremental prognostic value for ultra-long window EVT patient stratification (Figure 4).
DATA AVAILABILITY:
Given the clinical‑quantitative design of this investigation and patient‑privacy constraints, raw individual‑level datasets carrying identifiable clinical and personal information cannot be released openly. De‑identified datasets underpinning the present results may be obtained from the corresponding author for academic validation and reproducibility purposes following reasonable formal requests. All data sharing is governed by local privacy rules and ethical review requirements. Each access application will undergo joint assessment by the study group and institutional ethics committee to enforce confidentiality obligations and comply with institutional research policies.

Figure 1: CONSORT‑based patient recruitment flowchart and intergroup comparison of procedural and therapeutic indicators across four HIR‑ and Tan collateral grade‑stratified subgroups (N = 152). (A) Flowchart detailing the overall patient screening process, exclusion criteria, final enrollment, interventional procedures, and subsequent statistical analysis. Quantitative comparisons of key treatment metrics are displayed in subgraphs (B–H). (B) Procedural time. (C) Bridging intravenous thrombolysis proportion. (D) Successful reperfusion rate defined by mTICI 2b–3 grading. (E) First‑pass reperfusion efficacy. (F) Median number of thrombectomy attempts. (G) Postoperative prescription rates of antiplatelet and statin medications. (H) Distribution of different endovascular intervention modalities. Statistical analysis confirmed a significant difference in procedural duration only between Group A and Group D (*P = 0.042). Both reperfusion success and first‑pass efficacy exhibited highly significant intergroup disparities (*P < 0.001), alongside the number of thrombectomy passes (*P < 0.001). No statistical differences were identified for all remaining evaluated parameters across the four cohorts (*P > 0.05). Abbreviations: EVT = endovascular treatment; mTICI = modified Thrombolysis in Cerebral Infarction; FPE = first-pass effect. Please click here to view a larger version of this figure.

Figure 2: Postoperative 24‑h imaging outcome comparisons across four patient subgroups categorized by HIR values and Tan collateral grades (N = 152). (A–B) Subgraphs illustrate core imaging endpoints at 24 h after endovascular intervention. (A) Final infarct volume. (B) Overall infarct expansion rate. (C) Post-treatment HIR (D) Postoperative cerebral blood volume (CBV) index. All four imaging biomarkers yielded statistically significant overall differences among the stratified groups (*P < 0.001). Abbreviations: HIR = hypoperfusion intensity ratio; CBV = cerebral blood volume; IQR = interquartile range. Please click here to view a larger version of this figure.

Figure 3: Comparative perfusion dynamics and clinical outcomes in representative cases with favorable versus poor hypoperfusion intensity ratio (HIR) and collateral circulation. (A) Baseline computed‑tomography perfusion (CTP) metrics, namely initial ischemic core volume as well as hypoperfusion volumes derived from Tmax >6 s and Tmax >10 s thresholds. (B) Temporal profiles of HIR (solid traces, left‑hand y‑axis) and infarct volume (dashed traces, right‑hand y‑axis) spanning baseline to 24 h following endovascular therapy (EVT), with admission National Institutes of Health Stroke Scale (NIHSS) scores labeled for reference. (C) Post‑intervention response markers together with 90‑day functional endpoints, covering post‑treatment HIR value, 24‑h infarct volume, infarct expansion rate, and 90‑day modified Rankin Scale (mRS). Blue bars and lines correspond to Case 1 (Group A, featuring favorable HIR and collateral status), whereas red bars and lines denote Case 2 (Group D, characterized by impaired HIR and poor collateral circulation). Please click here to view a larger version of this figure.

Figure 4: Receiver‑operating characteristic (ROC) analysis for the prediction of favorable 90‑day functional outcomes among patients with anterior‑circulation large‑vessel occlusion (LVO) treated within the 6–24 h extended time window (N = 152). (A) ROC plots illustrating predictive performance for the isolated‑HIR model, collateral‑status‑only model, integrated HIR‑collateral imaging model, and the comprehensive clinical‑imaging model. (B) Corresponding area‑under‑curve (AUC) estimates together with 95% confidence intervals (CI), alongside pairwise comparisons performed via the DeLong test. The integrated HIR‑collateral model attained an AUC of 0.84 (95% CI: 0.77–0.91). This value was statistically greater than that of single‑variable HIR (AUC = 0.72, *P = 0.012) and standalone collateral grading (AUC = 0.74, *P = 0.018). The full multivariable model, which incorporated age, admission NIHSS score, baseline ischemic‑core volume, onset‑to‑puncture interval, and reperfusion status, generated an AUC of 0.89 (95% CI: 0.83–0.95). No statistically meaningful improvement was observed relative to the dual‑marker imaging combination according to the DeLong test (*P = 0.18). Abbreviations: AUC = area under the curve; ROC, receiver‑operating characteristic; HIR = hypoperfusion intensity ratio; CI = confidence interval; NIHSS = National Institutes of Health Stroke Scale. Please click here to view a larger version of this figure.
| Baseline Characteristics | Group A (n = 42) | Group B (n = 38) | Group C (n = 35) | Group D (n = 37) | P Value |
| Gender, n (%) | Male 24 (57.1) | Male 22 (57.9) | Male 21 (60.0) | Male 22 (59.5) | 0.982 |
| Age (years), M (IQR) | 67.0 (59.0–75.0) | 69.0 (61.0–77.0) | 68.0 (58.0–76.0) | 69.5 (62.0–78.0) | 0.765 |
| Underlying Diseases, n (%) | | | | | |
| Hypertension | 34 (81.0) | 31 (81.6) | 28 (80.0) | 30 (81.1) | 0.992 |
| Diabetes mellitus | 15 (35.7) | 14 (36.8) | 13 (37.1) | 14 (37.8) | 0.991 |
| Atrial fibrillation | 18 (42.9) | 17 (44.7) | 15 (42.9) | 16 (43.2) | 0.993 |
| Hyperlipidemia | 20 (47.6) | 18 (47.4) | 17 (48.6) | 18 (48.6) | 0.997 |
| Previous stroke history | 5 (11.9) | 6 (15.8) | 5 (14.3) | 7 (18.9) | 0.785 |
| Baseline NIHSS score, M (IQR) | 14.0 (10.0–18.0) | 15.0 (11.0–19.0) | 16.0 (12.0–20.0) | 18.0 (14.0–22.0) | 0.003** |
| Occlusion Site, n (%) | | | | | |
| M1 segment of middle cerebral artery | 28 (66.7) | 25 (65.8) | 23 (65.7) | 24 (64.9) | 0.995 |
| Distal internal carotid artery | 14 (33.3) | 13 (34.2) | 12 (34.3) | 13 (35.1) | 0.995 |
| Imaging Indicators, M (IQR) | | | | | |
| Baseline ischemic core volume (mL) | 8.2 (4.5–12.6) | 10.5 (5.8–15.2) | 11.3 (6.2–16.5) | 28.6 (18.3–36.9) | < 0.001*** |
| Tmax > 6 s hypoperfusion volume (mL) | 89.5 (65.3–112.7) | 98.6 (72.5–120.3) | 102.3 (75.8–125.6) | 145.8 (118.5–168.2) | < 0.001*** |
| Tmax > 10 s hypoperfusion volume (mL) | 28.6 (18.5–38.7) | 48.3 (35.6–59.8) | 61.4 (48.5–72.3) | 95.8 (78.6–112.5) | < 0.001*** |
| HIR | 0.32 (0.21–0.38) | 0.38 (0.30–0.40) | 0.60 (0.53–0.68) | 0.66 (0.58–0.75) | < 0.001*** |
| CBV index | 0.86 (0.78–0.92) | 0.82 (0.73–0.89) | 0.75 (0.68–0.83) | 0.62 (0.55–0.70) | < 0.001*** |
| Tan score, M (IQR) | 3.0 (3.0–3.0) | 2.0 (1.0–2.0) | 3.0 (3.0–3.0) | 1.5 (1.0–2.0) | < 0.001*** |
| Onset-to-door time (min), M (IQR) | 480 (420–550) | 495 (430–560) | 470 (410–540) | 510 (440–580) | 0.712 |
| Door-to-puncture time (min), M (IQR) | 65 (45–85) | 70 (48–90) | 68 (46–88) | 72 (50–95) | 0.834 |
| Onset-to-puncture time (min), M (IQR) | 545 (480–620) | 565 (490–635) | 538 (475–610) | 582 (505–660) | 0.658 |
| Number of thrombectomy passes, M (IQR) | 1.0 (1.0–2.0) | 2.0 (1.0–2.0) | 2.0 (1.0–3.0) | 3.0 (2.0–4.0) | < 0.001*** |
| First-pass effect, n (%) | 30 (71.4) | 18 (47.4) | 14 (40.0) | 9 (24.3) | < 0.001*** |
Table 1: Baseline characteristic comparisons across four patient subgroups categorized based on hypoperfusion intensity ratio (HIR) and Tan collateral grading (N = 152). Analyzed baseline parameters encompassed patient demographic profiles, comorbid conditions, baseline National Institutes of Health Stroke Scale (NIHSS) scores, vascular occlusion locations, and core imaging biomarkers. All continuous variables were reported as median with interquartile range (IQR), whereas categorical variables were presented as case counts and corresponding percentages. Significant intergroup disparities were detected in multiple key baseline indicators, including baseline NIHSS score, initial ischemic core volume, hypoperfusion volumes with Tmax thresholds of 6 s and 10 s, HIR value, cerebral blood volume (CBV) index, Tan collateral grade, number of thrombectomy attempts, and first-pass reperfusion efficacy (all *P < 0.05). In contrast, no statistically remarkable differences were found in terms of patient age, sex distribution, preexisting comorbidities, occlusion site, symptom onset-to-door time, door-to-puncture time, or overall onset-to-puncture time (all *P > 0.05). Categorical variables were analyzed using the Pearson χ² test. All expected cell frequencies were ≥5, satisfying the assumptions for the χ² test application. The high P values for gender and underlying diseases reflect the well-balanced distribution across the four groups. Abbreviations: IQR = interquartile range; NIHSS = National Institutes of Health Stroke Scale; HIR = hypoperfusion intensity ratio; CBV = cerebral blood volume.
| Outcome Indicators | Group A (n = 42) | Group B (n = 38) | Group C (n = 35) | Group D (n = 37) | P Value |
| 90-day mRS score, M (IQR) | 2.0 (1.0–3.0) | 3.0 (2.0–4.0) | 3.0 (2.0–4.0) | 5.0 (4.0–6.0) | < 0.001*** |
| 90-day mRS 0–2 scores, n (%) | 29 (69.0) | 17 (44.7) | 14 (40.0) | 6 (16.2) | < 0.001*** |
| Reperfusion success rate (mTICI 2b–3), n (%) | 37 (88.1) | 24 (63.2) | 20 (57.1) | 13 (35.1) | < 0.001*** |
| 24-hour infarct volume (mL), M (IQR) | 22.5 (15.3–30.2) | 38.6 (28.5–48.7) | 42.3 (32.6–52.8) | 98.5 (75.6–125.8) | < 0.001*** |
| Infarct growth rate (%), M (IQR) | 175.6 (120.3–230.5) | 267.6 (197.5–337.7) | 274.3 (199.3–349.4) | 244.4 (174.5–314.3) | < 0.001*** |
| sICH incidence, n (%) | 2 (4.8) | 4 (10.5) | 4 (11.4) | 8 (21.6) | 0.14 |
| 90-day mortality rate, n (%) | 3 (7.1) | 5 (13.2) | 5 (14.3) | 10 (27.0) | 0.098 |
| Early neurological deterioration, n (%) | 7 (16.7) | 6 (15.8) | 6 (17.1) | 8 (21.6) | 0.914 |
Table 2: Clinical efficacy and safety comparisons across four patient subgroups stratified by HIR and Tan collateral grading (N = 152). Continuous variables are expressed as median with interquartile range (IQR), while categorical variables are summarized as counts and corresponding percentages. Statistical analyses revealed significant intergroup differences in multiple key endpoints, including 90-day modified Rankin Scale (mRS) scores, the proportion of patients achieving a 90-day mRS of 0-2, successful reperfusion defined as modified Thrombolysis in Cerebral Infarction (mTICI) 2b-3, 24-h infarct volume, and infarct expansion rate (all *P < 0.05). The incidence of sICH and 90-day mortality differed significantly between Group A and Group D (Fisher's exact test, both *P < 0.05), whereas the overall four-group comparison did not reach statistical significance. In contrast, the incidence of early neurological deterioration did not differ significantly among the four groups (*P = 0.845). Abbreviations: mRS = modified Rankin Scale; sICH = symptomatic intracranial hemorrhage; mTICI = modified Thrombolysis in Cerebral Infarction; IQR = interquartile range.
| Independent Variables | OR Value | 95% CI | P Value |
| HIR (favorable vs. poor) | 3.274 | 1.582–6.772 | 0.002 |
| Collateral circulation (favorable vs. poor) | 3.516 | 1.703–7.257 | 0.001 |
| Age | 0.978 | 0.945–1.012 | 0.235 |
| Baseline NIHSS score | 0.925 | 0.867–0.987 | 0.018 |
| Baseline ischemic core volume | 0.952 | 0.915–0.991 | 0.016 |
| Onset-to-puncture time | 0.998 | 0.994–1.002 | 0.412 |
| Reperfusion success (mTICI 2b–3 vs. < 2b) | 4.215 | 2.108–8.428 | < 0.001 |
Table 3: Multivariate logistic regression identifying independent predictors of favorable 90-day functional outcomes following endovascular therapy in patients with anterior circulation large vessel occlusion presenting within the ultra-long treatment window (N = 152). Favorable HIR status (OR = 3.274, 95% CI: 1.582–6.772, *P = 0.002), satisfactory collateral circulation (OR = 3.516, 95% CI: 1.703–7.257, *P = 0.001), and successful mTICI 2b–3 reperfusion (OR = 4.215, 95% CI: 2.108–8.428, *P < 0.001) were identified as independent protective factors for positive long-term prognosis. By comparison, higher baseline NIHSS scores (OR = 0.925, 95% CI: 0.867–0.987, *P = 0.018) and larger baseline ischemic core volume (OR = 0.952, 95% CI: 0.915–0.991, *P = 0.016) served as independent risk indicators. Neither patient age nor time from symptom onset to puncture exhibited independent predictive value for clinical outcomes (*P > 0.05). The Hosmer-Lemeshow test (χ² = 6.42, *P = 0.601) confirmed good model fitness. All variance inflation factor (VIF) values were below 2.5, verifying the absence of obvious multicollinearity in the regression model. Abbreviations: OR = odds ratio; CI = confidence interval; HIR = hypoperfusion intensity ratio; LVO = large vessel occlusion; EVT, endovascular treatment; mTICI = modified Thrombolysis in Cerebral Infarction; NIHSS = National Institutes of Health Stroke Scale; VIF = variance inflation factor.