2023
DOI: 10.1016/j.ejrad.2023.110931
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Three dimensional computed tomography texture analysis of pulmonary lesions: Does radiomics allow differentiation between carcinoma, neuroendocrine tumor and organizing pneumonia?

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Cited by 4 publications
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“…Each method offers unique advantages in terms of precision and efficacy and caters to different aspects of nodule detection and surgical planning. Three-dimensional Bronchial Angiography: Merging 3D-CT with contrast-enhanced angiography, this method offers vital preoperative insights, aids in arterial analysis and bronchial anatomy assessment, and guides segmentectomy [ 26 , 27 ]. However, it is crucial to be mindful of risks, such as contrast agent allergies and possible differences between preoperative and intraoperative findings due to individual anatomical variations.…”
Section: Introductionmentioning
confidence: 99%
“…Each method offers unique advantages in terms of precision and efficacy and caters to different aspects of nodule detection and surgical planning. Three-dimensional Bronchial Angiography: Merging 3D-CT with contrast-enhanced angiography, this method offers vital preoperative insights, aids in arterial analysis and bronchial anatomy assessment, and guides segmentectomy [ 26 , 27 ]. However, it is crucial to be mindful of risks, such as contrast agent allergies and possible differences between preoperative and intraoperative findings due to individual anatomical variations.…”
Section: Introductionmentioning
confidence: 99%
“…Radiomics, a non-invasive, quantitative and objective prediction method, can extract feature information from digital images to assist in clinical decision-making ( 21 23 ). Previous studies have demonstrated that radiomics could effectively differentiate between LNEN and other cancers ( 24 26 ). However, research concerning the differential diagnosis of peripheral LNEN and LADC is scarce, with existing studies being conducted at a single center and lacking independent external validation ( 19 , 27 ).…”
Section: Introductionmentioning
confidence: 99%