Evidence map›Paper›PMID 38330820›Full record

ArticleComputers in biology and medicine2024

The role of anatomic shape features in the prognosis of uncomplicated type B aortic dissection initially treated with optimal medical therapy.

Minliang Liu, Hai Dong, Adam Mazlout, Yuxuan Wu, Asanish Kalyanasundaram, John N Oshinski, Wei Sun, John A Elefteriades, Bradley G Leshnower, Rudolph L Gleason

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Computers in biology and medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

5 citing papers in PubMed, 6 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

10 authors at 4 institutions in 1 country.

Minliang LiuThe Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA; Department of Mechanical Engineering, Texas Tech University, Lubbock, TX, USA.
Hai DongThe Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA; Division of Cardiothoracic Surgery, Department of Surgery, Emory University School of Medicine, Atlanta, GA, USA.
Adam MazloutThe Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA.
Yuxuan WuThe Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA.
Asanish KalyanasundaramAortic Institute at Yale-New Haven Hospital, Yale University School of Medicine, New Haven, CT, USA.
John N OshinskiThe Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA; Department of Radiology & Imaging Science, Emory University, Atlanta, GA, USA.
Wei SunThe Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA.
John A ElefteriadesAortic Institute at Yale-New Haven Hospital, Yale University School of Medicine, New Haven, CT, USA.
Bradley G LeshnowerDivision of Cardiothoracic Surgery, Department of Surgery, Emory University School of Medicine, Atlanta, GA, USA.
Rudolph L GleasonThe Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA; The George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA. Electronic address: rudy.gleason@me.gatech.edu.
Georgia Institute of Technology · USYale New Haven Hospital · USEmory University · USTexas Tech University · US

Funding

Risk stratification of uncomplicated type B aortic dissection using clinical and engineering analysisR01HL155537 · NHLBI · EMORY UNIVERSITY · PI LESHNOWER, BRADLEY GRAHAM · 2021 to 2024
$2.2M
NHLBI NIH HHS R01 HL155537
6 · The paper itself

Abstract

objectiveCurrently, the long-term outcomes of uncomplicated type B aortic dissection (TBAD) patients managed with optimal medical therapy (OMT) remain poor. Aortic expansion is a major factor that determines patient long-term survival. The objective of this study was to investigate the association between anatomic shape features and (i) OMT outcome; (ii) aortic growth rate for TBAD patients initially treated with OMT.

methods108 CT images of TBAD in the acute and chronic phases were collected from 46 patients who were initially treated with OMT. Statistical shape models (SSM) of TBAD were constructed to extract shape features from the earliest initial CT scans of each patient by using principal component analysis (PCA) and partial least square (PLS) regression. Additionally, conventional shape features (e.g., aortic diameter) were quantified from the earliest CT scans as a baseline for comparison. We identified conventional and SSM features that were significant in separating OMT "success" and failure patients. Moreover, the aortic growth rate was predicted by SSM and conventional features using linear and nonlinear regression with cross-validations.

resultsSize-related SSM and conventional features (mean aortic diameter: p=0.0484, centerline length: p=0.0112, PCA score c

conclusionSize-related shape features of the earliest scan were correlated with OMT failure but led to large errors in the prediction of the aortic growth rate. SSM features in combination with nonlinear regression could be a promising avenue to predict the aortic growth rate.

Indexed as

Aortic Aneurysm, ThoracicAortic DissectionBlood Vessel Prosthesis ImplantationEndovascular ProceduresHumansRetrospective StudiesRisk FactorsTreatment OutcomeAortic growthDissection flapOptimal medical therapyStatistical shape modelType B aortic dissection

Identifiers

PMID38330820
PMCPMC10932856
OpenAlexW4391310512

What OpenQuestion holds

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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 OpenQuestion graph.