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Published in 2025 at "Biological Invasions"
DOI: 10.1007/s10530-025-03543-2
Abstract: Predicting invasion risk to novel environments is essential for risk management and conservation decision making but the evolutionary lineage at which to make these predictions is often unclear. Here we predict the current suitability across…
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Keywords:
alpine newt;
lineage;
species level;
predicting invasiveness ... See more keywords
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Published in 2022 at "Canadian Association of Radiologists Journal"
DOI: 10.1177/08465371221110913
Abstract: Purpose: To comprehensively evaluate qualitative and quantitative features for predicting invasiveness of pure ground-glass nodules (pGGNs) using multiplanar computed tomography. Methods: Ninety-three resected pGGNs (16 atypical adenomatous hyperplasia [AAH], 18 adenocarcinoma in situ [AIS], 31…
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Keywords:
glass nodules;
computed tomography;
pure ground;
predicting invasiveness ... See more keywords
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Published in 2024 at "Journal of Thoracic Disease"
DOI: 10.21037/jtd-24-243
Abstract: Background Preoperative accurate judgment of the degree of invasiveness in subpleural ground-glass lung adenocarcinoma (LUAD) with a consolidation-to-tumor ratio (CTR) ≤50% is very important for the choice of surgical timing and planning. This study aims…
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Keywords:
ground glass;
intratumoral peritumoral;
subpleural ground;
predicting invasiveness ... See more keywords
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Published in 2025 at "Quantitative Imaging in Medicine and Surgery"
DOI: 10.21037/qims-2025-1261
Abstract: Background Computed tomography (CT) values of the lungs vary among different populations. Relative CT values, which are derived by comparing the CT differences between pulmonary nodules and normal lung tissue, can theoretically reduce the interference…
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Keywords:
value;
lung;
predicting invasiveness;
lobe ... See more keywords
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Published in 2024 at "Translational Lung Cancer Research"
DOI: 10.21037/tlcr-24-492
Abstract: Background Different pathological stages of lung adenocarcinoma require different surgical strategies and have varying prognoses. Predicting their invasiveness is clinically important. This study aims to develop a nomogram to predict the invasiveness of lung adenocarcinoma…
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Keywords:
lung;
lung adenocarcinoma;
predicting invasiveness;
adenocarcinoma manifesting ... See more keywords