Selected Articles

Tesche C, Bauer MJ, Baquet M et al. Improved long-term prognostic value of coronary CT angiography-derived plaque measures and clinical parameters on adverse cardiac outcome using machine learning. Eur Radiol. 2021 Jan;31(1):486-493.

Grodecki K, Cadet S, Staruch AD et al. Noncalcified plaque burden quantified from coronary computed tomography angiography improves prediction of side branch occlusion after main vessel stenting in bifurcation lesions: results from the CT-PRECISION registry. Clin Res Cardiol. 2021 Jan;110(1):114-123.

Zhou Y, Ren H, Wang S et al. The evolution of chest CT findings from admission to follow‑up in 30 moderate to severe adult patients with COVID‑19 pneumonia. Chinese Journal of Academic Radiology. 2021. https://doi.org/10.1007/s42058-021-00058-2

Carlicchi E, Gemma P, Poerio A et al. Chest-CT mimics of COVID-19 pneumonia-a review article. Emerg Radiol. 2021 Mar 1;1-12. doi: 10.1007/s10140-021-01919-0. Online ahead of print.

Gu J, Yang L, Li T et al. Temporal relationship between serial RT-PCR results and serial chest CT imaging, and serial CT changes in coronavirus 2019 (COVID-19) pneumonia: a descriptive study of 155 cases in China. Eur Radiol. 2021 Mar;31(3):1175-1184. doi: 10.1007/s00330-020-07268-9. Epub 2020 Sep 15.

Paggiosi MA, Debono M, Walsh JS et al. Quantitative computed tomography discriminates between postmenopausal women with low spine bone mineral density with vertebral fractures and those with low spine bone mineral density only: the SHATTER study. Osteoporos Int. 2020 Apr;31(4):667-675.

Yasaka K, Akai H, Kunimatsu A et al. Prediction of bone mineral density from computed tomography: application of deep learning with a convolutional neural network. Eur Radiol. 2020 Jun;30(6):3549-3557

Gonçalves Koehne de Castro J, Fontenele Carvalho B, Santos de Melo N et al. A new cone-beam computed tomography-driven index for osteoporosis prediction. Clin Oral Investig. 2020 Sep;24(9):3193-3202.

Wang P, She W, Mao Z et al. Use of routine computed tomography scans for detecting osteoporosis in thoracolumbar vertebral bodies. Skeletal Radiol. 2021 Feb;50(2):371-379.

Spada C, Hassan C, Bellini D et al. Imaging alternatives to colonoscopy: CT colonography and colon capsule. European Society of Gastrointestinal Endoscopy (ESGE) and European Society of Gastrointestinal and Abdominal Radiology (ESGAR) Guideline – Update 2020. Eur Radiol. 2020 Oct 26. doi: 10.1007/s00330-020-07413-4. Online ahead of print.

Iacobellis F, Scaglione M, Brillantino A et al. The additional value of the arterial phase in the CT assessment of liver vascular injuries after high-energy blunt trauma. Emerg Radiol. 2019 Dec;26(6):647-54.

Gervaise A, Bouzad C, Peroux E, Helissey C. Acute pulmonary embolism in non-hospitalized COVID-19 patients referred to CTPA by emergency department. Eur Radiol. 2020 Jun 9;1-8. doi: 10.1007/s00330-020-06977-5. Online ahead of print.

Carotti M, Salaffi F, Sarzi-Puttini P et al. Chest CT features of coronavirus disease 2019 (COVID‑19) pneumonia: key points for radiologists. Radiol Med. 2020 Jul;125(7):636-46.

Cerruti L, Boscaro F, Poletto F et al. Acute pulmonary embolism in COVID‑19 related hypercoagulability. J Thromb Thrombolysis. 2020 Jul;50(1):223-6.

Bandyopadhyay D, Akhtar T, Hajra A et al. COVID‑19 pandemic: Cardiovascular complications and future implications. Am J Cardiovasc Drugs. 2020 Jun 23;1-14. doi: 10.1007/s40256-020-00420-2. Online ahead of print.

Yang W, Sirajuddin A, Zhang X et al. The role of imaging in 2019 novel coronavirus pneumonia (COVID-19). Eur Radiol. 2020 Apr 15;1-9. doi: 10.1007/s00330-020-06827-4. Online ahead of print.

Hori D, Nomura Y, Yamauchi T et al. Perioperative factors associated with aneurysm sac size changes after endovascular aneurysm repair. Surg Today. 2019 Feb;49(2):130-6.

Gentsu T, Okada T, Yamaguchi M et al. Type II endoleak after endovascular aortic aneurysm repair using the Endurant stent graft system for abdominal aortic aneurysm with occluded inferior mesenteric artery. Cardiovasc Intervent Radiol. 2019 Apr;42(4):505-12.

Asenbaum U, Schoder M, Schwartz E et al. Stent-graft surface movement after endovascular aneurysm repair: baseline parameters for prediction, and association with migration and stent-graft-related endoleaks. Eur Radiol. 2019 Dec;29(12):6385-95.

Oishi Y, Yamashita Y, Kimura S et al. Preoperative distal aortic diameter is a significant predictor of late aorta‑related events after endovascular repair for chronic type B aortic dissection. Gen Thorac Cardiovasc Surg. 2020 Feb 20. doi: 10.1007/s11748-020-01318-1. Online ahead of print.

Mortani Barbosa EJ Jr, Osuntokun O. Incidental findings in thoracic CTs performed in trauma patients: an underestimated problem.. Eur Radiol. 2019;29(12):6772-9.

Rampinelli C, Cicchetti G, Cortese G et al. Management of incidental pulmonary nodule in CT: a survey by the Italian College of Chest Radiology. Radiol Med. 2019;124(7):602-12.

Kay FU, Canan A, Abbara S. Common incidental findings on cardiac CT: a systematic review.. Curr Cardiovasc Imaging Rep. 2019;12:21.

Evaluation of the solitary pulmonary nodule: size matters, but do not ignore the power of morphology.. Insights Imaging. 2018;9(1):73-86.

Pickhardt PJ. Missed lesions at CT colonography: lessons learned. Abdom Imaging. 2013 Feb;38(1):82-97.

Trilisky I, Ward E, Dachman AH. Errors in CT colonography. Abdom Imaging. 2015 Oct;40(7):2099-111.

Park SH, Kim DH. CT colonography interpretation: how to maximize polyp detection and minimize overcalling. Abdom Radiol (NY). 2018 Mar;43(3):539-53.

Mankowski Gettle L, Kim DH, Pickhardt PJ. Anorectal pitfalls in computed tomography colonography. Abdom Radiol (NY). 2019 Nov;44(11):3606-24.

Schicchi N, Fogante M, Esposto Pirani P et al. Third-generation dual-source dual-energy CT in pediatric congenital heart disease patients: state-of-the-art. Radiol Med. 2019 Oct 19. doi: 10.1007/s11547-019-01097-7. [Epub ahead of print]

Rajiah P, Saboo SS, Abbara S. Role of CT in congenital heart disease. . Curr Treat Options Cardiovasc Med. 2017 Jan;19(1):6.

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.

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

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.

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.

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

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.

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.

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

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]

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

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

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]

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

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

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]

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

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]

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

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

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