Correlation analysis between metabolic tumor burden measured by positron emission tomography/computed tomography and the 2015 World Health Organization classification of lung adenocarcinoma, with a risk prediction model of tumor spread through air spaces
| Autor: | Ning Wu, Ying Liu, Xiao-Yi Wang, Lin Yang, Yan-Feng Zhao, Yi-Kun Yang |
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| Rok vydání: | 2020 |
| Předmět: |
spread through air spaces (STAS)
multivariate logistic regression analysis Cancer Research medicine.medical_specialty Lung PET/CT business.industry Tumor burden lung adenocarcinoma medicine.disease World health 2015 WHO classification medicine.anatomical_structure risk factor Oncology Correlation analysis medicine Adenocarcinoma Original Article Radiology Nuclear Medicine and imaging Radiology business Positron Emission Tomography-Computed Tomography |
| Zdroj: | Translational Cancer Research |
| ISSN: | 2219-6803 2218-676X |
| DOI: | 10.21037/tcr-20-1934 |
| Popis: | Background Tumor spread through air spaces (STAS) is an important pattern of invasion and impacts the frequency and location of recurrence. The objective was to assess the correlation between metabolic tumor burden of positron emission tomography/computed tomography (PET/CT) and 2015 World Health Organization (WHO) classification of lung adenocarcinoma, and to establish a risk prediction model of STAS. Methods We reviewed 127 consecutive patients. The SUVmax, SUVmean, SUVpeak, MTV, TLG, diameter, and CTV were measured. All risk factors were analyzed by multivariate logistic regression analysis; regression coefficients and odds ratios were calculated for independent risk factors. A STAS risk prediction model was created using the regression coefficients to determine the predictive probability (PP). Results The nodule types and SUV were significantly correlated with 2015 WHO pathological categories (P |
| Databáze: | OpenAIRE |
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