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Komono A, Shida D, Iinuma G et al. Preoperative T staging of colon cancer using CT colonography with multiplanar reconstruction: new diagnostic criteria based on “bordering vessels”. . Int J Colorectal Dis. 2019 Apr;34(4):641-648.

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Teke ME, Emuakhagbon V-S. Trends in colorectal cancer surveillance: current strategies and future innovations. . Curr Colorectal Cancer Rep. 2019;15:79.

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Taya M, McHargue C, Ricci ZJ et al. Comparison of extracolonic findings and clinical outcomes in a screening and diagnostic CT colonography population. . Abdom Radiol (NY). 2019 Feb;44(2):429-437.

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Flor N, Zanchetta E, Di Leo G et al. Synchronous colorectal cancer using CT colonography vs. other means: a systematic review and meta-analysis. . Abdom Radiol (NY). 2018 Dec;43(12):3241-3249.

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Oderich GS, Kärkkäinen JM, Reed NR et al. Penetrating aortic ulcer and intramural hematoma. Cardiovasc Intervent Radiol. 2019 Mar;42(3):321-334.

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Panagiotopoulos N, Drüschler F, Simon M et al. Significance of an additional unenhanced scan in computed tomography angiography of patients with suspected acute aortic syndrome. World J Radiol. 2018 Nov 28;10(11):150-161.

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Herrán FL, Bang TJ, Restauri N et al. CT imaging of complications of aortic intramural hematoma: a pictorial essay. Diagn Interv Radiol. 2018 Nov;24(6):342-347.

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Fukui T. Management of acute aortic dissection and thoracic aortic rupture. J Intensive Care. 2018 Mar 1;6:15.

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Yasaka K, Akai H, Kunimatsu Aesserli M et al. Deep learning for staging liver fibrosis on CT: a pilot study. Eur Radiol. 2018 May 14. doi: 10.1007/s00330-018-5499-7. [Epub ahead of print]

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Pesapane F, Codari M, Sardanelli F. Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine. Eur Radiol Exp. 2018 Oct 24;2(1):35

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Selvarajah A, Bennamoun M, Playford D et al. Application of artificial intelligence in coronary computed tomography angiography. Curr Cardiovasc Imaging Rep. 2018;11:12

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Nakajima J. Advances in techniques for identifying small pulmonary nodules. Surg Today. 2018 Nov 24. doi: 10.1007/s00595-018-1742-8. [Epub ahead of print]

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Snoeckx A, Reyntiens P, Desbuquoit D et al. Evaluation of the solitary pulmonary nodule: size matters, but do not ignore the power of morphology. Insights Imaging. 2018 Feb;9(1):73-86

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Zhao X, Liu L, Qi S et al. Agile convolutional neural network for pulmonary nodule classification using CT images. Int J Comput Assist Radiol Surg. 2018 Apr;13(4):585-595

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Vassallo L, Traverso A, Agnello M et al. A cloud-based computer-aided detection system improves identification of lung nodules on computed tomography scans of patients with extra-thoracic malignancies. Eur Radiol. 2018 Jun 15. doi: 10.1007/s00330-018-5528-6. [Epub ahead of print]

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Ferreira JR Jr, Oliveira MC, de Azevedo-Marques PM et al. Characterization of pulmonary nodules based on features of margin sharpness and texture. J Digit Imaging. 2018 Aug;31(4):451-463

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Mueller-Lisse UG, Marwitz L, Tufman A et al. Less radiation, same quality: contrast-enhanced multi-detector computed tomography investigation of thoracic lymph nodes with one milli-sievert. Radiol Med. 2018 Jun 30. doi: 10.1007/s11547-018-0915-2. [Epub ahead of print]

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van Riel SJ, Ciompi F, Jacobs C et al. Malignancy risk estimation of screen-detected nodules at baseline CT: comparison of the PanCan model, Lung-RADS and NCCN guidelines. Eur Radiol. 2017 Oct;27(10):4019-29

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Messerli M, Kluckert T, Knitel M et al. Ultralow dose CT for pulmonary nodule detection with chest x-ray equivalent dose – a prospective intra-individual comparative study. Eur Radiol. 2017 Aug;27(8):3290-9

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Gierada DS, Pinsky PF, Duan F et al. Interval lung cancer after a negative CT screening examination: CT findings and outcomes in National Lung Screening Trial participants. Eur Radiol. 2017 Aug;27(8):3249-56

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Alshamari M, Norrman E, Geijer M et al. Diagnostic accuracy of low-dose CT compared with abdominal radiography in non-traumatic acute abdominal pain: prospective study and systematic review. Eur Radiol. 2016 Jun;26(6):1766-74

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Makar RA, Bashir MR, Haystead CM et al. Diagnostic performance of MDCT in identifying closed loop small bowel obstruction. Abdom Radiol (NY). 2016 Jul;41(7):1253-60

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Rami Reddy SR, Cappell MS. A systematic review of the clinical presentation, diagnosis, and treatment of small bowel obstruction. Curr Gastroenterol Rep. 2017 Jun;19(6):28

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Kohga A, Kawabe A, Yajima K et al. CT value of the intestine is useful predictor for differentiate irreversible ischaemic changes in strangulated ileus. Abdom Radiol (NY). 2017 Dec;42(12):2816-21

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Parakh A, Patino M, Muenzel D et al. Role of rapid kV-switching dual-energy CT in assessment of post-surgical local recurrence of pancreatic adenocarcinoma. Abdom Radiol (NY). 2017 Nov 14. doi: 10.1007/s00261-017-1390-2. [Epub ahead of print]

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Sellerer T, Noël PB, Patino M et al. Dual-energy CT: a phantom comparison of different platforms for abdominal imaging. Eur Radiol. 2018 Feb 5. doi: 10.1007/s00330-017-5238-5. [Epub ahead of print]

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Braun FM, Holzner V, Meinel FG et al. Improved assessment of mediastinal and pulmonary pathologies in combined staging CT examinations using a fast-speed acquisition dual-source CT protocol. Eur Radiol. 2017 Dec;27(12):4931-4940.

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Rassouli N, Etesami M, Dhanantwari A, Rajiah P. Detector-based spectral CT with a novel dual-layer technology: principles and applications. Insights Imaging. 2017 Dec;8(6):589-598.

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Mikami T, Hirano T, Sugino T et al. Presurgical planning for arteriovenous malformations using multidetector row CT. Neurosurg Rev. 2012 Jul;35(3):393-9

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Willems PW, Taeshineetanakul P, Schenk B et al. The use of 4D-CTA in the diagnostic work-up of brain arteriovenous malformations. Neuroradiology. 2012 Feb;54(2):123-31.

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Lin YH, Lin HH, Liu HM et al. Diagnostic performance of CT and MRI on the detection of symptomatic intracranial dural arteriovenous fistula: a meta-analysis with indirect comparison. Neuroradiology. 2016 Aug;58(8):753-63.

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Etievant J, Si-Mohamed S, Vinurel N et al. Pulmonary arteriovenous malformations in hereditary haemorrhagic telangiectasia: Correlations between computed tomography findings and cerebral complications. Eur Radiol. 2018 Mar;28(3):1338-44.

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Riaz RM, Myers DT, Williams TR. Multidetector CT imaging of bariatric surgical complications: a pictorial review. Abdom Radiol (NY). 2016 Jan;41(1):174-188.

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Fahmy MH, Sarhan MD, Osman AM et al. Early Weight Recidivism Following Laparoscopic Sleeve Gastrectomy: A Prospective Observational Study. Obes Surg. 2016 Nov;26(11):2654-2660.

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Disse E, Pasquer A, Pelascini E et al. Dilatation of Sleeve Gastrectomy: Myth or Reality? Obes Surg. 2017 Jan;27(1):30-37.

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Hanssen A, Plotnikov S, Acosta G et al. 3D Volumetry and its Correlation Between Postoperative Gastric Volume and Excess Weight Loss After Sleeve Gastrectomy. Obes Surg. 2017 Sep 15. doi: 10.1007/s11695-017-2927-8. [Epub ahead of print]

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Min JK, Hasegawa JT, Machacz SF, O’Day K. Costs and clinical outcomes for non-invasive versus invasive diagnostic approaches to patients with suspected in-stent restenosis. Int J Cardiovasc Imaging. 2016 Feb;32(2):309-315

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Chung MS, Yang DH, Kim YH et al. Stent fracture and longitudinal compression detected on coronary CT angiography in the first- and new-generation drug-eluting stents. Int J Cardiovasc Imaging. 2016 Apr;32(4):637-646

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Koplay M, Guneyli S, Akbayrak H et al. Diagnostic accuracy and effective radiation dose of high pitch dual source multidetector computed tomography in evaluation of coronary artery bypass graft patency. Wien Klin Wochenschr. 2016 Jul;128(13-14):488-494

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Ippolito D, Fior D, Franzesi CT et al. Diagnostic accuracy of 256-row multidetector CT coronary angiography with prospective ECG-gating combined with fourth-generation iterative reconstruction algorithm in the assessment of coronary artery bypass: evaluation of dose reduction and image quality. Radiol Med. 2017 Aug 28 [Epub ahead of print]

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Weinman JP, Manning DA, Liptzin DR et al. HRCT findings of childhood follicular bronchiolitis. Pediatr Radiol. 2017 Aug 26. [Epub ahead of print]

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Jun S, Kim N, Seo JB et al. An ensemble method for classifying regional disease patterns of diffuse interstitial lung disease using HRCT images from different vendors. J Digit Imaging. 2017 Feb 21. [Epub ahead of print]

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Pulagam AR, Kande GB, Ede VK, Inampudi RB. Automated lung segmentation from HRCT scans with diffuse parenchymal lung diseases. J Digit Imaging. 2016 Aug;29(4):507-519

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Gigante A, Rossi Fanelli F, Lucci S et al. Lung ultrasound in systemic sclerosis: correlation with high-resolution computed tomography, pulmonary function tests and clinical variables of disease. Intern Emerg Med. 2016 Mar;11(2):213-217

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Javor D, Wressnegger A, Unterhumer S et al. Endoleak detection using single-acquisition split-bolus dual-energy computer tomography (DECT).. Eur Radiol. 2017 Apr;27(4):1622-1630

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Kim R, Park EA, Lee W, Chung JW. Feasibility of 320-row area detector CT coronary angiography using 40 mL of contrast material: assessment of image quality and diagnostic accuracy.. Eur Radiol. 2016 Nov;26(11):3802-3810

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Loizou L, Albiin N, Leidner B et al. Multidetector CT of pancreatic ductal adenocarcinoma: Effect of tube voltage and iodine load on tumour conspicuity and image quality.. Eur Radiol. 2016 Nov;26(11):4021-4029

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Mace LR, Galloway TL, Ma A et al. Diagnostic yield of CT urography in the evaluation of hematuria in young patients in a military population. Abdom Radiol (NY). 2017 Feb 17. doi: 10.1007/s00261-017-1084-9. [Epub ahead of print]

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Gaudiano C, Tadolini M, Busato F et al. Multidetector CT urography in urogenital tuberculosis: use of reformatted images for the assessment of the radiological findings. A pictorial essay. Abdom Radiol (NY). 2017 Apr 8. doi: 10.1007/s00261-017-1129-0.

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Caoili EM, Cohan RH. CT urography in evaluation of urothelial tumors of the kidney. Abdom Radiol (NY). 2016 Jun;41(6):1100-1107

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