A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 197

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3165
Function: getPubMedXML

File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 317
Function: require_once

Predicting futile recanalization before mechanical thrombectomy: the added value of CT imaging markers. | LitMetric

Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Purpose: To evaluate the incremental value of computed tomography (CT) imaging markers beyond clinical factors in predicting futile recanalization (FR) in patients with acute ischemic stroke (AIS) undergoing mechanical thrombectomy (MT), and to develop an integrated clinical-imaging nomogram for FR risk stratification.

Methods: We enrolled 342 AIS patients who achieved successful recanalization-definded as a modified Thrombolysis in Cerebral Infarction grade ≥ 2b after MT-between October 2019 and December 2023. FR was defined as a poor outcome (modified Rankin Scale score 3-6) despite successful recanalization. Independent clinical and imaging predictors of FR were identified by multivariable logistic regression. The added value of CT imaging markers was assessed using integrated discrimination index (IDI) and continuous net reclassification improvement (NRI). Significant predictors were incorporated into a nomogram, and its discrimination and calibration were assessed.

Results: FR was observed in 161 patients (47.1%) at 90 days. Independent predictors of FR included older age, female sex, diabetes, higher National Institutes of Health Stroke Scale (NIHSS) scores, higher net water uptake (NWU), lower Alberta Stroke Program Early CT Score (ASPECTS) and unfavorable comprehensive venous outflow (CVO) score (all p < 0.05). Incorporating imaging markers (ASPECTS, NWU, and CVO score) significantly improved the discriminatory performance of the clinical model (IDI: +14.2%; NRI: +82.5%; both p < 0.001 ). Decision curve analysis confirmed the clinical utility of the integrated nomogram.

Conclusion: CT imaging markers from Non-contrast CT (NCCT) and CT angiography (CTA) enhance FR risk prediction when added to clinical factors. The integrated nomogram may support individualized treatment decision-making in AIS patients prior to MT.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s00234-025-03752-5DOI Listing

Publication Analysis

Top Keywords

imaging markers
12
predicting futile
8
futile recanalization
8
mechanical thrombectomy
8
recanalization mechanical
4
imaging
4
thrombectomy imaging
4
markers purpose
4
purpose evaluate
4
evaluate incremental
4

Similar Publications