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Li J, Xie G, Tang W et al. Establishing a machine learning model based on dual-energy CT enterography to evaluate Crohn’s disease activity. Insights Imaging. 2024 May 12;15(1):115.

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He W, Xu P, Zhang M et al. Deep learning-based reconstruction improves the image quality of low-dose CT enterography in patients with inflammatory bowel disease. Abdom Radiol (NY). 2024 Sep 21. doi: 10.1007/s00261-024-04590-4.

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Ceccato F, Barbot M, Scaroni C, Boscaro M. Frequently asked questions and answers (if any) in patients with adrenal incidentaloma. J Endocrinol Invest. 2021 Dec;44(12):2749-2763.

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Feliciani G, Serra F, Menghi E et al. Radiomics in the characterization of lipid-poor adrenal adenomas at unenhanced CT: time to look beyond usual density metrics. Eur Radiol. 2024 Jan;34(1):422-432.

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Cundari G, Marchitelli L, Pambianchi G et al. Imaging biomarkers in cardiac CT: moving beyond simple coronary anatomical assessment. Radiol Med. 2024 Mar;129(3):380-400.

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Chen M, Hao G, Xu J et al. Radiomics analysis of lesion-specific pericoronary adipose tissue to predict major adverse cardiovascular events in coronary artery disease. BMC Med Imaging. 2024 Jun 17;24(1):150.

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Pezzullo F, Comune R, D’Avino R et al. CT prognostic signs of postoperative complications in emergency surgery for acute obstructive colonic cancer. Radiol Med. 2024 Apr;129(4):525-535.

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Tan X, Yang X, Hu S et al. Predictive modeling based on tumor spectral CT parameters and clinical features for postoperative complications in patients undergoing colon resection for cancer. Insights Imaging. 2023 Sep 23;14(1):155.

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Chen F, Xian J, Huo J. Prognostic significance of a pathological response in metastatic lymph nodes of patients with gastric cancer who underwent neoadjuvant chemotherapy followed by surgery. Surg Today. 2024 Apr 8. doi: 10.1007/s00595-024-02829-7.

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Herring A, Chelala L, White CS. Lung RADS: Lessons learned and strategies for the optimization of lung cancer screening. Curr Pulmonol Rep. 2023;12:181-189.

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