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Additional file 1 of CT feature-based nomogram for predicting tumor spread through air spaces in stage IA lung adenocarcinoma

NIAID Data Ecosystem2026-05-02 收录

肺癌STAS预测

CT影像组学

数据链接：

https://figshare.com/articles/dataset/Additional_file_1_of_CT_feature-based_nomogram_for_predicting_tumor_spread_through_air_spaces_in_stage_IA_lung_adenocarcinoma/29299452 数据链接链接失效反馈

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资源简介：

Supplementary Material 1

应用场景：

创建时间：

2025-06-11

腮腺肿瘤良恶性鉴别

CT影像组学

ObjectiveThis study aims to investigate the value of machine learning models based on clinical-radiological features and multiphasic CT radiomics features in the differentiation of benign parotid tumo

NIAID Data Ecosystem40

Table_1_Prediction of CD3 T cells and CD8 T cells expression levels in non-small cell lung cancer based on radiomic features of CT images.xls

肺癌免疫微环境评估

CT影像组学

BackgroundIn this work, radiomics characteristics based on CT scans were used to build a model for preoperative evaluation of CD3 and CD8 T cells expression levels in patients with non-small cell lung

NIAID Data Ecosystem30

Additional file 2 of Reproducibility of lung cancer radiomics features extracted from data-driven respiratory gating and free-breathing flow imaging in [18F]-FDG PET/CT

CT影像组学

呼吸门控技术

Additional file 2. Differences and concordance among free-breathing and data-driven gating PET/CT for all radiomics features. The relative difference in percentage (DIFF%) and the concordance bias coe

Figshare2022-10-30 更新20

Logistic regression analysis of CT variables for predicting pathologic response.

放化疗反应预测

CT影像组学

TKI, tyrosine kinase inhibitors; CCRT, concurrent chemoradiation therapy; AUC, area under the curve; CI, confidence interval.

NIAID Data Ecosystem30

DataSheet_1_Can CT Radiomics Detect Acquired T790M Mutation and Predict Prognosis in Advanced Lung Adenocarcinoma With Progression After First- or Second-Generation EGFR TKIs?.docx

CT影像组学

肺癌T790M突变检测与预后预测

ObjectiveTo explore the potential of CT radiomics in detecting acquired T790M mutation and predicting prognosis in patients with advanced lung adenocarcinoma with progression after first- or second-ge

NIAID Data Ecosystem20

Additional file 1 of CT feature-based nomogram for predicting tumor spread through air spaces in stage IA lung adenocarcinoma

资源简介：

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