Selected Articles

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

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]

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

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

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

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

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

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]

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.

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

De Cecco CN, Buffa V, Fedeli S. Preliminary experience with abdominal dual-energy CT (DECT): true versus virtual nonenhanced images of the liver. Radiol Med. 2010 Dec;115(8):1258-66

Vandenbroucke F, Van Hedent S, Van Gompel G et al. Dual-energy CT after radiofrequency ablation of liver, kidney, and lung lesions: a review of features. Insights Imaging. 2015 Jun;6(3):363-379

Albrecht MH, Scholtz JE, Hüsers K et al. Advanced image-based virtual monoenergetic dual-energy CT angiography of the abdomen: optimization of kiloelectron volt settings to improve image contrast. Eur Radiol. 2016 Jun;26(6):1863-1870

Williams MC, Mirsadraee S, Dweck MR et al. Computed tomography myocardial perfusion vs ¹⁵O-water positron emission tomography and fractional flow reserve. Eur Radiol. 2016 Jun 22. [Epub ahead of print]

Koo HJ, Yang DH, Kim YH et al. CT-based myocardial ischemia evaluation: quantitative angiography, transluminal attenuation gradient, myocardial perfusion, and CT-derived fractional flow reserve. Int J Cardiovasc Imaging. 2016 Jun;32 Suppl 1:1-19

Liu L, Yang W, Nagahara Y et al. The impact of image resolution on computation of fractional flow reserve: coronary computed tomography angiography versus 3-dimensional quantitative coronary angiography. Int J Cardiovasc Imaging. 2016 Mar;32(3):513-523

van Rosendael AR, Kroft LJ, Broersen A et al. Relation between quantitative coronary CTA and myocardial ischemia by adenosine stress myocardial CT perfusion. J Nucl Cardiol. 2016 Feb 9. [Epub ahead of print]

Schieda N, Fasih N, Shabana W. Triphasic CT in the diagnosis of acute mesenteric ischaemia. Eur Radiol. 2013 Jul;23(7):1891-900.

Costa AF, Chidambaram V, Lee JJ et al. Multidetector computed tomography of mesenteric ischaemia. Insights Imaging. 2014 Dec;5(6):657-66.

Mazzei MA, Volterrani L. Nonocclusive mesenteric ischaemia: think about it. Radiol Med. 2015 Jan;120(1):85-95.

Kärkkäinen JM, Saari P, Kettunen HP et al. Interpretation of Abdominal CT Findings in Patients Who Develop Acute on Chronic Mesenteric Ischemia. J Gastrointest Surg. 2016 Apr;20(4):791-802.

McKavanagh P, Walls G, McCune C et al. The essentials of cardiac computerized tomography. Cardiol Ther. 2015 Dec;4(2):117-29

Belgrano M, Bregant P, Djoguela MF et al. 256-slice CT coronary angiography: in vivo dosimetry and technique optimization. Radiol Med. 2014 Apr;119(4):249-56

Chen MY, Steigner ML, Leung SW et al. Simulated 50 % radiation dose reduction in coronary CT angiography using adaptive iterative dose reduction in three-dimensions (AIDR3D). Int J Cardiovasc Imaging. 2013 Jun;29(5):1167-75.

Muenzel D, Noel PB, Dorn F et al. Step and shoot coronary CT angiography using 256-slice CT: effect of heart rate and heart rate variability on image quality. Eur Radiol. 2011 Nov;21(11):2277-84

Le Faivre J, Duhamel A, Khung S et al. Impact of CT perfusion imaging on the assessment of peripheral chronic pulmonary thromboembolism: clinical experience in 62 patients. Eur Radiol. 2016 Mar 14. [Epub ahead of print]

Fischer MA, Brehmer K, Svensson A et al. Renal versus splenic maximum slope based perfusion CT modelling in patients with portal-hypertension. Eur Radiol. 2016 Feb 25. [Epub ahead of print]

Fischer MA, Kartalis N, Grigoriadis A et al. Perfusion computed tomography for detection of hepatocellular carcinoma in patients with liver cirrhosis. Eur Radiol. 2015 Nov;25(11):3123-3132

Tian F, Hayano K, Kambadakone AR, Sahani DV. Response assessment to neoadjuvant therapy in soft tissue sarcomas: using CT texture analysis in comparison to tumor size, density, and perfusion. Abdom Imaging. 2015 Aug;40(6):1705-1712

Yadav AK, Sharma R, Kandasamy D et al. Perfusion CT: can it predict the development of pancreatic necrosis in early stage of severe acute pancreatitis? Abdom Imaging. 2015 Mar;40(3):488-499

Li Y, Yang J, Liu J, Wu H. Restudy of malformations of the internal auditory meatus, cochlear nerve canal and cochlear nerve. Eur Arch Otorhinolaryngol. 2015 Jul;272(7):1587-1596

Genovesi D, Perrotti F, Trignani M et al. Delineating brachial plexus, cochlea, pharyngeal constrictor muscles and optic chiasm in head and neck radiotherapy: a CT-based model atlas. Radiol Med. 2015 Apr;120(4):352-360

Meyer M, Haubenreisser H, Raupach R et al. Initial results of a new generation dual source CT system using only an in-plane comb filter for ultra-high resolution temporal bone imaging. Eur Radiol. 2015 Jan;25(1):178-185

Tanis W, Suchá D, Laufer W et al., Multidetector-row computed tomography for prosthetic heart valve dysfunction: is concomitant non-invasive coronary angiography possible before redo-surgery? Eur Radiol. 2015 Jun;25(6):1623-1630

Hu X, Frellesen C, Bauer RW et al., Computed tomography of dynamic changes of the aortic root during systole and diastole in patients with coronary artery calcification. Radiol Med. 2015 Jul;120(7):595-602

Goo HW, Park SH., Semiautomatic three-dimensional CT ventricular volumetry in patients with congenital heart disease: agreement between two methods with different user interaction. Int J Cardiovasc Imaging. 2015 Dec;31 Suppl 2:223-232

Foldyna B, Jungert C, Luecke C et al., CT evaluation prior to transapical aortic valve replacement: semi-automatic versus manual image segmentation. Int J Cardiovasc Imaging. 2015 Aug;31(6):1233-1242

De Cock J, Zanca F, Canning J et al., A comparative study for image quality and radiation dose of a cone beam computed tomography scanner and a multislice computed tomography scanner for paranasal sinus imaging. Eur Radiol. 2015 Jul;25(7):1891-1900

Życinska K, Straburzynski M, Nitsch-Osuch A et al., Lund-Mackay system for computed tomography evaluation of paranasal sinuses in patients with granulomatosis and polyangiitis. Adv Exp Med Biol. 2016;884:13-19

Demeslay J, Vergez S, Serrano E et al, Morphological concordance between CBCT and MDCT: a paranasal sinus-imaging anatomical study. Surg Radiol Anat. 2016 Jan;38(1):71-78

Wuest W, May M, Saake M et al., Low-dose CT of the paranasal sinuses: minimizing X-ray exposure with spectral shaping. Eur Radiol. 2016 Feb 24. [Epub ahead of print]

Petik B., Inferior vena cava anomalies and variations: imaging and rare clinical findings. Insights Imaging. 2015 Dec;6(6):631-639.

Morita S, Nishina Y, Yamazaki H et al., Dual adrenal venous phase contrast-enhanced MDCT for visualization of right adrenal veins in patients with primary aldosteronism. Eur Radiol. 2015 Oct 22. [Epub ahead of print]

Doshi AM, Hoffman D, Kierans AS et al., Differentiation of deep venous thrombosis from femoral vein mixing artifact on routine abdominopelvic CT. Abdom Imaging. 2015 Oct;40(8):3191-5.

Horvath JJ, Looney CB, Nelson RC, Kim CY, Venous filling defects on portal venous phase CT of the abdomen and pelvis: clinical implications and positive predictive value for diagnosing deep venous thrombosis. Abdom Imaging. 2014 Jun;39(3):554-61.

Di Martino M, Saba L, Bosco S et al. Hepatocellular carcinoma (HCC) in non-cirrhotic liver: clinical, radiological and pathological findings. Eur Radiol. 2014 Jul;24(7):1446-54.

Bendik E, Noël PB, Münzel D et al. Evaluation of a method for improving the detection of hepatocellular carcinoma. Eur Radiol. 2014 Jan;24(1):250-5.

Boas FE, Kamaya A, Do B et al. Classification of hypervascular liver lesions based on hepatic artery and portal vein blood supply coefficients calculated from triphasic CT scans.. J Digit Imaging. 2015 Apr;28(2):213-23.

Marin D, Mileto A, Gupta RT et al. Effect of radiologists’ experience with an adaptive statistical iterative reconstruction algorithm on detection of hypervascular liver lesions and perception of image quality.. Abdom Imaging. 2015 Oct;40(7):2850-60.

Behrenbeck TR, McCollough CH, Miller WL et al. Early changes in myocardial microcirculation in asymptomatic hypercholesterolemic subjects: as detected by perfusion CT. Ann Biomed Eng. 2014 Mar;42(3):515-525