MétaCan
Menu
Back to cohort
Record W4402726362 · doi:10.4081/monaldi.2024.3085

Multimodality imaging and functional assessment in patients with systemic right ventricle and biventricular physiology: a retrospective single-center study

2024· article· en· W4402726362 on OpenAlex
Alice Pozza, Martina Avesani, Irene Cattapan, Elena Reffo, Annachiara Cavaliere, Jolanda Sabatino, Sofia Piana, Anna Molinaroli, Domenico Sirico, Biagio Castaldi, Alessia Cerutti, Roberta Biffanti, Giovanni Di Salvo

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMonaldi Archives for Chest Disease · 2024
Typearticle
Languageen
FieldMedicine
TopicCongenital Heart Disease Studies
Canadian institutionsChildren's & Women's Health Centre of British Columbia
Fundersnot available
KeywordsGreat arteriesMedicineVentricleInternal medicineCardiologyEjection fractionDiastoleCardiac magnetic resonance imagingSpeckle tracking echocardiographyCardiac magnetic resonanceSystoleBody surface areaEnd-systolic volumeMagnetic resonance imagingStroke volumeHeart failureRadiologyBlood pressure

Abstract

fetched live from OpenAlex

Systemic right ventricle (sRV) dysfunction is frequent in patients with congenitally corrected transposition of great arteries (cc-TGA) and those with dextro-transposition of great arteries (D-TGA) after Mustard/Senning operations. This condition should be identified promptly. We aimed to compare echocardiographic parameters with cardiac magnetic resonance (CMR)-derived parameters in patients with sRV and to evaluate their correlation with clinical variables and exercise capacity. Patients with cc-TGA and D-TGA after Mustard/Senning who underwent standard and advanced (speckle tracking and 3D) echocardiography and CMR (including feature-speckle tracking) were included. Clinical and imaging parameters were collected. Echocardiographic-derived right ventricle end-diastolic area and end-systolic area correlated with 3D echocardiographic-derived right ventricle end-diastolic and end-systolic volume (r=0.6, p=0.006 and r=0.8, p=0.002). 3D ejection fraction (EF) correlated with fractional area change and tricuspid annular plane systolic excursion (TAPSE) (r=0.8, p=0.001 and r=0.7, p=0.03). sRV global longitudinal strain (GLS) correlated with systemic atrial strain (sAS) (r=-0.6, p=0.01). CMR-derived EF correlated with CMR-derived GLS both endocardial and myocardial (r=-0.7, p=0.007 and r=-0.6, p=0.005). sRV areas as assessed by echo correlated with CMR-derived volumes (r=0.9, p=0.0001 for diastole and r=0.8, p=0.0001 for systole). Similarly, a correlation was found between sRV echo-derived GLS and CMR-derived GLS, both endocardial and myocardial (r=0.8, p=0.001 and r=0.7, p=0.01). The only imaging parameter that correlated with peak oxygen consumption was sAS (r=0.55, p=0.04). When comparing cc-TGA and D-TGA, the former showed better GLS-derived values as assessed by CMR (CMR-derived right ventricle endocardial longitudinal strain -23.2% versus -17.2%, p=0.002; CMR-derived right ventricle myocardial longitudinal strain -21.2% versus -16.7%; p=0.05), bigger systemic atrial area (20.2 cm2/m2 versus 8.4 cm2/m2, p=0.005) and higher TAPSE values (16.2 mm versus 12.2 mm, p=0.04). Echocardiography is valid to screen for sRV dilatation and function and to guide the timing for CMR. The investigation of atrial deformation imaging may help to better understand diastolic function. Patients with cc-TGA show better cardiac function compared to patients after atrial switch. Further investigations are needed to identify imaging parameters linked to exercise capacity.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.600

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.250
Teacher spread0.241 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it