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• W4283723706 abstract "To study the relationship between standardized 18F-FDG PET/CT radiomic features and clinicopathological variables and programmed death ligand-1 (PD-L1) expression status in non-small cell lung cancer (NSCLC) patients.58 NSCLC patients with preoperative 18F-FDG PET/CT scans and postoperative results of PD-L1 expression were retrospectively analysed. A standardized, open-source software was used to extract 86 radiomic features from PET and low-dose CT images. Univariate analysis and multivariate logistic regression were used to find independent predictors of PD-L1 expression. The Area Under the Curve (AUC) of receiver operating characteristic (ROC) curve was used to compare the ability of variables and their combination in predicting PD-L1 expression.Multivariate logistic regression resulted in the PET radiomic feature GLRLM_LGRE (Odds Rate (OR): 0.300 vs 0.114, 95% confidence interval (CI): 0.096-0.931 vs 0.021-0.616, in NSCLC and adenocarcinoma respectively) and the CT radiomic feature GLZLM_SZE (OR: 3.338 vs 7.504, 95%CI: 1.074-10.375 vs 1.382-40.755, in NSCLC and adenocarcinoma respectively), being independent predictors of PD-L1 status. In NSCLC group, after adjusting for gender and histology, the PET radiomic feature GLRLM_LGRE (OR: 0.282, 95%CI: 0.085-0.936) remained an independent predictor for PD-L1 status. In the adenocarcinoma group, when adjusting for gender the PET radiomic feature GLRLM_LGRE (OR: 0.115, 95%CI: 0.021-0.631) and the CT radiomic feature GLZLM_SZE (OR: 7.343, 95%CI: 1.285-41.965) remained associated with PD-L1 expression.NSCLC and adenocarcinoma with PD-L1 expression show higher tumour heterogeneity. Heterogeneity-related 18F-FDG PET and CT radiomic features showed good ability to non-invasively predict PD-L1 expression.ZIEL: Untersuchung der Beziehung zwischen standardisierten 18F-FDG-PET/CT-Radiomics-Merkmalen, klinisch-pathologischen Variablen und der Expression des Programmed Death Ligand 1 (PD-L1) bei Patienten mit nichtkleinzelligem Bronchialkarzinom (non-small cell lung cancer, NSCLC).58 NSCLC-Patienten mit präoperativen 18F-FDG-PET/CT-Scans und postoperativen Befunden zur PD-L1-Expression wurden retrospektiv analysiert. Eine standardisierte Open-Source-Software wurde verwendet, um 86 Radiomics-Merkmale aus PET- und Niedrigdosis-CT-Bildern zu extrahieren. Univariate Analyse und multivariate logistische Regression wurden verwendet, um unabhängige Prädiktoren für die PD-L1-Expression zu ermitteln. Die Fläche unter der Kurve (AUC) der Receiver-Operating-Characteristic (ROC) -Kurve wurde verwendet, um die Fähigkeit der Variablen und ihrer Kombination bei der Vorhersage der PD-L1-Expression zu vergleichen.Die multivariate logistische Regression ergab das PET-Radiomics-Merkmal GLRLM_LGRE (Odds Ratio (OR): 0,300 vs. 0,114, 95%-Konfidenzintervall (KI): 0,096–0,931 vs. 0,021–0,616, bei NSCLC bzw. Adenokarzinom) und das CT-Radiomics-Merkmal GLZLM_SZE (OR: 3,338 vs. 7,504, 95%-KI: 1,074–10,375 vs. 1,382–40,755, bei NSCLC bzw. Adenokarzinom), wobei es sich um unabhängige Prädiktoren für den PD-L1-Status handelt.In der NSCLC-Gruppe blieb das PET-Radiomics-Merkmal GLRLM_LGRE (OR: 0,282, 95%-KI: 0,085–0,936) nach Berücksichtigung von Geschlecht und Histologie ein unabhängiger Prädiktor für den PD-L1-Status. In der Adenokarzinom-Gruppe waren nach Berücksichtigung des Geschlechts das PET-Radiomics-Merkmal GLRLM_LGRE (OR: 0,115, 95%-KI: 0,021–0,631) und das CT-Radiomics-Merkmal GLZLM_SZE (OR: 7,343, 95%-KI: 1,285–41,965) mit der PD-L1-Expression assoziiert.NSCLC und Adenokarzinome mit PD-L1-Expression zeigen eine höhere Tumorheterogenität. Heterogenitätsbezogene 18F-FDG-PET- und CT-Radiomics-Merkmale zeigten eine gute Fähigkeit zur nichtinvasiven Vorhersage der PD-L1-Expression." @default.
• W4283723706 created "2022-07-01" @default.
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• W4283723706 date "2022-06-29" @default.
• W4283723706 modified "2023-10-11" @default.
• W4283723706 title "Standardized 18F-FDG PET/CT radiomic features provide information on PD-L1 expression status in treatment-naïve patients with non-small cell lung cancer" @default.
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• W4283723706 doi "https://doi.org/10.1055/a-1816-6950" @default.
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