The Journal of thoracic and cardiovascular surgery
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J. Thorac. Cardiovasc. Surg. · Apr 2022
Multicenter StudyPulmonary homograft dysfunction after the Ross procedure using decellularized homografts-a multicenter study.
Pulmonary homograft dysfunction is a limitation after the Ross procedure. Decellularized pulmonary homografts can potentially mitigate this complication. The aim of this study was to examine the incidence, predictors, progression, and morphology of pulmonary homograft dysfunction using data from the Canadian Ross Registry. ⋯ The use of decellularized cryopreserved pulmonary homografts results in a low incidence of dysfunction and reintervention after the Ross procedure. The risk is greater in the first postoperative year. Younger age is the only independent risk factor for pulmonary homograft dysfunction.
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J. Thorac. Cardiovasc. Surg. · Apr 2022
The impact of hospital size on national trends and outcomes in isolated open proximal aortic surgery.
To determine the impact of hospital size on national trend estimates of isolated open proximal aortic surgery for benchmarking hospital performance. ⋯ This study demonstrates increasing volume and improving outcomes of isolated open proximal aortic surgeries nationally over the last decade regardless of hospital bed size. Moreover, the resource allocation of sicker patients to larger hospital resulted shorter length of stay and hospital costs, while maintaining similar operative mortality to small- and medium-sized hospitals.
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J. Thorac. Cardiovasc. Surg. · Apr 2022
Pulmonary artery size on computed tomography is associated with major morbidity after pulmonary lobectomy.
To investigate the relationship of pulmonary artery diameter (PAD) measured by computed tomography (CT) with outcomes following lobectomy. ⋯ CT-based measurements of the PAD on the operative side may inform of the about the risk of major complications after lobectomy. Review of PA size on preoperative CT scans may help identify patients who would benefit from formal evaluation of PA pressures to improve the operative risk assessment.
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J. Thorac. Cardiovasc. Surg. · Apr 2022
Predicting benign, preinvasive, and invasive lung nodules on computed tomography scans using machine learning.
The study objective was to investigate if machine learning algorithms can predict whether a lung nodule is benign, adenocarcinoma, or its preinvasive subtype from computed tomography images alone. ⋯ The machine learning algorithms demonstrated reasonable performance in differentiating benign versus preinvasive versus invasive adenocarcinoma from computed tomography images alone. However, the prediction accuracy varies across its subtypes. This holds the potential for improved diagnostic capabilities with less-invasive means.