ArticleCureus2022
Susceptibility Weighted Imaging: An Effective Auxiliary Sequence That Enhances Insight Into the Imaging of Stroke.
Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.
- Comparative Diagnostic and Prognostic Performance of SWI and T2-Weighted MRI in Cerebral Microbleed Detection Following Acute Ischemic Stroke: A Meta-Analysis and SPOT-CMB Study.Medicina (Kaunas, Lithuania) · 2025Pooled it
- Cerebellopontine angle epidermoid cyst masquerading as trigeminal neuralgia: A rare presentation and surgical outcome.Radiology case reports · 2025Article
- Advances in differential diagnosis of cerebrovascular diseases in magnetic resonance imaging: a narrative review.Quantitative imaging in medicine and surgery · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimTo evaluate the utility of susceptibility-weighted imaging (SWI) sequence in stroke imaging and assess supplemental information provided by SWI in an acute stroke scenario. MATERIALS AND
methodsIn this study, the appearance of cerebrovascular stroke on the SWI images were analyzed in 50 patients who presented with acute-onset neurological symptoms.
resultsBrain MRI with SWI was performed on 50 patients presenting with acute neurological symptoms. The majority were males, 32/50 (64%) and 18/50 (36%) were females. Most of the patients were in the age group > 60 years (36%), followed by 50-60 years (22%). Most of the patients had bilateral pathology, 20 (40%). The majority of patients had supratentorial lesions 34 (68%). Among 50 patients, the majority of patients had arterial stroke 20 (40%) and cerebral venous sinus thrombosis (CVST) 20 (40%) followed by amyloid angiopathy five (10%), and five (10%) had hypertensive microhemorrhage. Among the 20 patients with arterial stroke, the majority had middle cerebral artery (MCA) thrombosis 10 (50%) and among the 20 patients with venous thrombosis, eight (40%) patients had hemorrhagic infarcts. SWI was better as compared to computed tomography (CT) (P<0.05) in the detection of hemorrhagic transformation of arterial infarct, cerebral hemorrhagic venous sinus thrombosis, hemorrhagic venous infarct, hypertensive microhemorrhage, and cerebral amyloid angiopathy.
conclusionSWI is a useful imaging sequence that provides additional information on stroke patients. SWI requires only an additional three-four minutes to perform and can be easily incorporated into standard stroke protocol. SWI can identify various features such as hemorrhage, intraarterial thrombus, or concomitant microbleeds that are of prognostic value and affect therapeutic decisions.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.