AIMC Topic: Bronchiolitis Obliterans

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Machine Learning Algorithms Utilizing Quantitative CT Features May Predict Eventual Onset of Bronchiolitis Obliterans Syndrome After Lung Transplantation.

Academic radiology Feb 19, 2018
RATIONALE AND OBJECTIVES: Long-term survival after lung transplantation (LTx) is limited by bronchiolitis obliterans syndrome (BOS), defined as a sustained decline in forced expiratory volume in the first second (FEV) not explained by other causes. W...
Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed Female Aged Adult Male Middle Aged Lung Predictive Value of Tests Tidal Volume Forced Expiratory Volume Lung Transplantation Bronchiolitis Obliterans
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A model developed by machine learning and principal component analysis for predicting bronchiolitis obliterans syndrome after allogeneic HSCT in a Chinese population with hematologic malignancies.

Computers in biology and medicine Sep 1, 2025
Bronchiolitis obliterans syndrome (BOS) is a severe pulmonary complication following allogeneic hematopoietic stem cell transplantation (allo-HSCT), with early prediction being crucial. While pulmonary function tests (PFTs) are fundamental for BOS as...
Humans Machine Learning Female Young Adult Adult Hematologic Neoplasms Male Middle Aged China Adolescent East Asian People Principal Component Analysis Hematopoietic Stem Cell Transplantation Transplantation, Homologous Respiratory Function Tests Bronchiolitis Obliterans Bronchiolitis Obliterans Syndrome
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