ArticleJournal of medical radiation sciences2026
Response to Letter to the Editor: Impact of 1024-Matrix Size on Perforating Artery Visualization in Cerebral CTA Using a 64-Slice CT Scanner.
Article in Journal of medical radiation sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This response addresses a Letter to the Editor commenting on our article on 1024-matrix reconstruction for perforating artery visualisation in cerebral CTA using a 64-slice CT scanner (https://doi.org/10.1002/jmrs.70055). It acknowledges that integration with iterative or deep-learning reconstruction, workflow and PACS burden, and downstream clinical outcomes warrant further study, and emphasises that a targeted 1024-matrix strategy limited to clinically critical intracranial regions offers a practical compromise.
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.