Evidence map›Paper›PMID 41685047›Full record

ArticleF1000Research2025

Optimization of Bolus-Tracking Thresholds levels in Cerebral CT Angiography: Influence of Patient Characteristics on contrast enhancement dynamics and radiation dose metrics.

Ashwin Prabhu, Abhimanyu Pradhan, Sharath S, Rajagopal Kadavigere, Winniecia Dkhar, Priya P S, Suresh Sukumar, Pulagam Vamsidhar Reddy, Neil Abraham Barnes

Abstract read
In one paragraph

Article in F1000Research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Ashwin PrabhuDepartment of Medical Imaging technology, Manipal Academy of Higher Education, Manipal College of Health Professions, Manipal, Karnataka, 576104, India.ORCID https://orcid.org/0009-0009-1450-3921
Abhimanyu PradhanDepartment of Medical Imaging technology, Manipal Academy of Higher Education, Manipal College of Health Professions, Manipal, Karnataka, 576104, India.ORCID https://orcid.org/0000-0002-2910-5338
Sharath SDepartment of Medical Imaging technology, Manipal Academy of Higher Education, Manipal College of Health Professions, Manipal, Karnataka, 576104, India.ORCID https://orcid.org/0000-0003-2860-5100
Rajagopal KadavigereDepartment of Radiodiagnosis and Imaging, Kasturba Medical College Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.ORCID https://orcid.org/0000-0003-3486-8740
Winniecia DkharDepartment of Medical Imaging technology, Manipal Academy of Higher Education, Manipal College of Health Professions, Manipal, Karnataka, 576104, India.ORCID https://orcid.org/0000-0001-5963-3230
Priya P SDepartment of Radiodiagnosis and Imaging, Kasturba Medical College Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.ORCID https://orcid.org/0000-0002-7201-5733
Suresh SukumarDepartment of Medical Imaging technology, Manipal Academy of Higher Education, Manipal College of Health Professions, Manipal, Karnataka, 576104, India.ORCID https://orcid.org/0000-0001-9345-9790
Pulagam Vamsidhar ReddyFellow in Cardiothoracic Radiology, Narayana Institute of Cardiac Sciences, Bangalore, karnataka, India.ORCID https://orcid.org/0009-0003-5850-3217
Neil Abraham BarnesDepartment of Medical Imaging technology, Manipal Academy of Higher Education, Manipal College of Health Professions, Manipal, Karnataka, 576104, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cerebral computed tomography angiography (CTA) is widely used to assess neurovascular disorders, but venous contamination often obscures arteries. Optimizing bolus-tracking thresholds is crucial, yet patient factors influencing contrast dynamics and the value of radiation dose indices in head CTA remain unclear. Objectives: To optimize bolus-tracking thresholds in cerebral CTA by examining patient-related influences on enhancement and radiation metrics. Methods: 126 adults undergoing cerebral CTA were evaluated in this prospective study. Demographics, physiologic parameters, peak enhancement time (PET), peak enhancement attenuation (PEA), and dose indices (CTDIvol, SSDE) were recorded. Linear regression identified predictors of enhancement. Two blinded radiologists graded venous contamination. ROC analysis, including age subgroups, determined the optimal HU threshold. Results: Median age was 55.5 years; 70% were male. PET rose with age (+0.086 s/year, p < 0.001) and was shorter in females (-2.39 s, p = 0.003). PEA increased with threshold (+1.03 HU/unit, p < 0.001). Arterial enhancement was higher in females (+40.7 HU, p < 0.001) and patients ≥60 years (+70 HU, p < 0.001). Venous enhancement correlated with PET (p = 0.023) and systolic pressure (p = 0.002). ROC analysis showed an optimal threshold of 105 ± 5 HU (AUC = 0.634; sensitivity 88.4%, specificity 77.1%). CTDIvol, but not SSDE, correlated with weight (p = 0.015). Conclusion: Intrinsic (age, gender) and extrinsic (threshold) factors shape CTA enhancement. A 105 ± 5 HU threshold reduces venous contamination, especially in younger patients. CTDIvol remains the preferred dose index. Findings support individualized, resource-efficient CTA protocols aligned with UN SDGs 3, 9, and 12.

Indexed as

Cerebral AngiographyComputed Tomography AngiographyContrast MediaRadiation DosageAdultAgedFemaleHumansMaleMiddle AgedProspective StudiesContrast MediaBolus trackingCT cerebral angiographyCTDIvolpeak enhancement timeradiation dose

Identifiers

PMID41685047
PMCPMC12891954

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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.