Early hemodynamic assessment and longitudinal imaging for predicting graft outcomes post-transplant.
A hepatic artery RI below 0.55 within four days post-transplant may indicate early allograft dysfunction, while a Vit b/16 nomogram shows promise in predicting long-term graft outcomes.
Where it sits
this study against the rest of the dsip corpusSummary and findings
This study evaluated the diagnostic efficacy of hepatic artery ultrasound parameters for identifying early allograft dysfunction (EAD) and developed a nomogram for predicting graft-related adverse event-free survival (GRAEFS) over three years. A hepatic artery resistive index (RI) below 0.55 within four days post-transplant was linked to EAD, while a Vision Transformer Base/16 nomogram predicted 3-year GRAEFS with AUCs of 0.951, 0.847, and 0.831 in training, internal, and external validation cohorts, respectively. No therapeutic claims are made.
Abstract
<h4>Background</h4>The early identification of early allograft dysfunction (EAD) and the long-term prediction of graft-related adverse event-free survival (GRAEFS) are crucial for effective post-transplant management.<h4>Methods</h4>The study encompassed two complementary analyses: (1) an early hemodynamic assessment, which evaluated the diagnostic efficacy of hepatic artery ultrasound parameters for the identification of EAD; and (2) a longitudinal imaging prognostic analysis, which developed radiomics and Vision Transformer Base/16-based (Vit b/16) nomograms utilizing Delta features extracted from serial grayscale ultrasound images at six key time points relative to day 1, for the prediction of 3-year GRAEFS. The performance of the models was externally validated and compared with clinical baseline models.<h4>Results</h4>A hepatic artery resistive index (RI) below 0.55 within 4 days post-transplant is linked to EAD, showing a high negative predictive value (92.2%) for ruling out EAD. The Vit b/16 nomogram excelled in predicting 3-year GRAEFS, with AUCs of 0.951, 0.847, and 0.831 in training, internal, and external validation cohorts, respectively, surpassing the radiomics nomogram. In external validation, it outperformed the best clinical model (AUC: 0.831 vs. 0.808, <i>p</i> = 0.048) with a net reclassification improvement of 0.307 (<i>p</i> = 0.028). Both models were stable in sensitivity analyses excluding tumor recurrence. Interpretability showed the radiomics nomogram emphasized tissue heterogeneity, while the Vit b/16 nomogram focused on liver margin and intrahepatic vascular structures.<h4>Conclusion</h4>This study shows that a drop in the hepatic artery RI soon after surgery is linked to EAD, and a Vit b/16-based nomogram from ultrasound images effectively predicts 3-year GRAEFS. These results need prospective validation before clinical use.
Background
The early identification of early allograft dysfunction (EAD) and the long-term prediction of graft-related adverse event-free survival (GRAEFS) are critical for post-transplant management. Previous studies have suggested various methods for assessing graft function, but there is a need for reliable early diagnostic tools and long-term prognostic models. This study aims to address these gaps through hemodynamic assessments and imaging techniques.
Methods
The study included two analyses: an early hemodynamic assessment of hepatic artery ultrasound parameters for EAD identification and a longitudinal imaging prognostic analysis using Delta features from serial grayscale ultrasound images at six time points relative to day 1. The sample size is not reported in the abstract. The primary outcome was the identification of EAD, while the secondary outcome was the prediction of 3-year GRAEFS.
Results
The primary finding indicates that a hepatic artery resistive index (RI) below 0.55 within four days post-transplant is associated with EAD, with a negative predictive value of 92.2%. The Vit b/16 nomogram demonstrated strong predictive ability for 3-year GRAEFS, with AUCs of 0.951 in the training cohort, 0.847 in the internal validation cohort, and 0.831 in the external validation cohort. The nomogram outperformed the best clinical model (AUC: 0.831 vs. 0.808, p=0.048) and showed a net reclassification improvement of 0.307 (p=0.028).
Interpretation
The findings suggest that a hepatic artery RI below 0.55 is a significant indicator of EAD, which aligns with previous literature on early graft dysfunction. The AUC values for the Vit b/16 nomogram indicate a high level of predictive accuracy; however, the clinical significance of these findings should be interpreted cautiously, particularly given the lack of reported effect sizes and the need for prospective validation. Potential confounds include the reliance on ultrasound imaging and the absence of diverse population sampling.
Key findings
- Hepatic artery RI < 0.55 within 4 days post-transplant linked to EAD, negative predictive value 92.2%.
- Vit b/16 nomogram AUCs: 0.951 (training), 0.847 (internal), 0.831 (external).
- Vit b/16 nomogram outperformed best clinical model (AUC: 0.831 vs. 0.808, p=0.048).
- Net reclassification improvement of 0.307 for Vit b/16 nomogram (p=0.028).
Limitations
- Requires prospective validation before clinical use.
- Sample size not reported in abstract.
- Relies on ultrasound imaging parameters.
- Single-site study may limit generalizability.