Connection

Carlo De Cecco to Liver Neoplasms

This is a "connection" page, showing publications Carlo De Cecco has written about Liver Neoplasms.
Connection Strength

1.771
  1. A noise-optimized virtual monoenergetic reconstruction algorithm improves the diagnostic accuracy of late hepatic arterial phase dual-energy CT for the detection of hypervascular liver lesions. Eur Radiol. 2018 Aug; 28(8):3393-3404.
    View in: PubMed
    Score: 0.455
  2. Optimization of window settings for virtual monoenergetic imaging in dual-energy CT of the liver: A multi-reader evaluation of standard monoenergetic and advanced imaged-based monoenergetic datasets. Eur J Radiol. 2016 Apr; 85(4):695-9.
    View in: PubMed
    Score: 0.394
  3. Role of magnetic resonance imaging in intrathoracic hepatocarcinoma diagnosis. Eur J Cardiothorac Surg. 2011 Feb; 39(2):281; author reply 281-2.
    View in: PubMed
    Score: 0.279
  4. Dual energy CT (DECT) of the liver: conventional versus virtual unenhanced images. Eur Radiol. 2010 Dec; 20(12):2870-5.
    View in: PubMed
    Score: 0.269
  5. Can dual-energy computed tomography improve visualization of hypoenhancing liver lesions in portal venous phase? Assessment of advanced image-based virtual monoenergetic images. Clin Imaging. 2017 Jan - Feb; 41:118-124.
    View in: PubMed
    Score: 0.104
  6. Limitation of Virtual Noncontrasted Images in Evaluation of a Liver Lesion Status Post Transarterial Chemoembolization. J Comput Assist Tomogr. 2016 Jul-Aug; 40(4):557-9.
    View in: PubMed
    Score: 0.102
  7. Diagnostic confidence of computed tomography and magnetic resonance in focal liver pathology. Eur J Gastroenterol Hepatol. 2015 Jan; 27(1):97-101.
    View in: PubMed
    Score: 0.092
  8. High concentration (400 mgI/mL) versus low concentration (320 mgI/mL) iodinated contrast media in multi detector computed tomography of the liver: a randomized, single centre, non-inferiority study. Eur J Radiol. 2012 Nov; 81(11):3096-101.
    View in: PubMed
    Score: 0.077
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.