Evidence map›Paper›PMID 36400095›Full record

ReviewThe British journal of radiology2023

Advanced cross-sectional imaging of cerebral aneurysms.

Rawan Diab, Dandan Chang, Chengcheng Zhu, Michael R Levitt, Mehmet Aksakal, Hui-Lin Zhao, Thien J Huynh, Griselda Romero-Sanchez, Mahmud Mossa-Basha

Open access · bronzeAbstract readReview
In one paragraph

Review in The British journal of radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.9field-weighted citation impact, top 13% of its field
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

8 citing papers in PubMed, 15 citations in OpenAlex.

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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 at 6 institutions in 4 countries.

Rawan DiabAmerican University of Beirut School of Medicine, Beirut, Lebanon.
Dandan ChangDepartment of Radiology, University of Washington, Seattle, United States.
Chengcheng ZhuDepartment of Radiology, University of Washington, Seattle, United States.
Michael R LevittAmerican University of Beirut School of Medicine, Beirut, Lebanon.
Mehmet AksakalDepartment of Radiology, University of Washington, Seattle, United States.
Hui-Lin ZhaoDeparment of Radiology, Renji Hospital, Shanghai, China.
Thien J HuynhDepartment of Radiology, Mayo Clinic-Jacksonville, Jacksonville, United States.
Griselda Romero-SanchezDepartment of Radiology, Instituto Nacional de Ciencias Medicas y Nutricion Salvador Zubiran, Mexico City, Mexico.
Mahmud Mossa-BashaAmerican University of Beirut School of Medicine, Beirut, Lebanon.ORCID 0000-0001-7798-8158
American University of Beirut · LBUniversity of Washington · USInstituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán · MXJacksonville College · USRenji Hospital · CNSeattle University · US

Funding

Improving the computational modeling of coiled cerebral aneurysms through synchrotron microtomographyR01NS105692 · NINDS · UNIVERSITY OF WASHINGTON · PI Michael Robert Levitt · 2018 to 2026
$3.5M
Investigation of the quantitative intracranial aneurysm wall enhancement and geometric features associated with aneurysm volume growthR01HL162743 · NHLBI · UNIVERSITY OF WASHINGTON · PI Chengcheng Zhu · 2022 to 2026
$2.4M
Characterization of intracranial vessel wall morphology and inflammation using 3D high resolution MRIR00HL136883 · NHLBI · UNIVERSITY OF WASHINGTON · PI ZHU, CHENGCHENG · 2020 to 2022
$747k
NHLBI NIH HHS R00 HL136883NHLBI NIH HHS R01 HL162743NINDS NIH HHS R01 NS105692
6 · The paper itself

Abstract

While the rupture rate of cerebral aneurysms is only 1% per year, ruptured aneurysms are associated with significant morbidity and mortality, while aneurysm treatments have their own associated risk of morbidity and mortality. Conventional markers for aneurysm rupture include patient-specific and aneurysm-specific characteristics, with the development of scoring systems to better assess rupture risk. These scores, however, rely heavily on aneurysm size, and their accuracy in assessing risk in smaller aneurysms is limited. While the individual risk of rupture of small aneurysms is low, due to their sheer number, the largest proportion of ruptured aneurysms are small aneurysms. Conventional imaging techniques are valuable in characterizing aneurysm morphology; however, advanced imaging techniques assessing the presence of inflammatory changes within the aneurysm wall, hemodynamic characteristics of blood flow within aneurysm sacs, and imaging visualization of irregular aneurysm wall motion have been used to further determine aneurysm instability that otherwise cannot be characterized by conventional imaging techniques. The current manuscript reviews conventional imaging techniques and their value and limitations in cerebral aneurysm characterization, and evaluates the applications, value and limitations of advanced aneurysm imaging and post-processing techniques including intracranial vessel wall MRA, 4D-flow, 4D-CTA, and computational fluid dynamic simulations.

Indexed as

Aneurysm, RupturedIntracranial AneurysmCerebral AngiographyHemodynamicsHumans

Identifiers

PMID36400095
PMCPMC10997029
OpenAlexW4309408897

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.