Literature DB >> 22109292

Distinguishing enhancing from nonenhancing renal lesions with fast kilovoltage-switching dual-energy CT.

Ravi K Kaza1, Elaine M Caoili, Richard H Cohan, Joel F Platt.   

Abstract

OBJECTIVE: The purpose of this article is to evaluate the accuracy of dual-energy CT in distinguishing enhancing from nonenhancing or equivocally enhancing renal lesions.
MATERIALS AND METHODS: We retrospectively reviewed fast kilovoltage-switching dual-energy renal mass CT performed in 39 patients. On the contrast-enhanced dual-energy CT scans, renal lesions were graded subjectively for enhancement using iodine density images and iodine overlay images. Lesion iodine density was measured to identify an optimal threshold for detection of enhancement. Lesion attenuation measurements on unenhanced and contrast-enhanced scans were performed to identify enhancing (increase of > 20 HU) lesions, which were used as the reference standard. Sensitivity, specificity, and accuracy for detection of enhancement were calculated for the different dual-energy CT techniques.
RESULTS: Eighty-three renal lesions were evaluated. On the basis of attenuation measurements, there were 20 enhancing and 63 nonenhancing lesions. The sensitivity, specificity, and accuracy for the detection of enhancement according to the lesion appearance were 70%, 98.4%, and 91.6%, respectively, on iodine density images and were 85%, 90.5%, and 89.2%, respectively, on iodine overlay images generated from contrast-enhanced dual-energy CT scans. Of the various thresholds of measured lesion iodine density (1-3 mg/cm(3)), a threshold of 2 mg/cm(3) showed the highest accuracy for the detection of enhancement, with sensitivity, specificity, and accuracy of 90%, 93.7%, and 92.8%, respectively.
CONCLUSION: Fast kilovoltage-switching dual-energy CT is highly specific in excluding enhancement and moderately to highly sensitive in detecting enhancement of renal lesions. Of the available dual-energy CT techniques, iodine density measurement using a threshold of 2 mg/cm(3) is most accurate in distinguishing enhancing from nonenhancing renal lesions.

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Year:  2011        PMID: 22109292     DOI: 10.2214/AJR.11.6812

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  23 in total

1.  Diagnostic performance of dual-energy CT and subtraction CT for renal lesion detection and characterization.

Authors:  Ali Pourvaziri; Anushri Parakh; Amirkasra Mojtahed; Avinash Kambadakone; Dushyant Vasudeo Sahani
Journal:  Eur Radiol       Date:  2019-05-27       Impact factor: 5.315

Review 2.  Dual energy MDCT assessment of renal lesions: an overview.

Authors:  Achille Mileto; Daniele Marin; Rendon C Nelson; Giorgio Ascenti; Daniel T Boll
Journal:  Eur Radiol       Date:  2013-10-04       Impact factor: 5.315

3.  Differentiation of neoplastic from bland macroscopic portal vein thrombi using dual-energy spectral CT imaging: a pilot study.

Authors:  Li Jun Qian; Jiong Zhu; Zhi Guo Zhuang; Qiang Xia; Yu Fan Cheng; Jian Ying Li; Jian Rong Xu
Journal:  Eur Radiol       Date:  2012-05-24       Impact factor: 5.315

Review 4.  Recent developments of dual-energy CT in oncology.

Authors:  David Simons; Marc Kachelriess; Heinz-Peter Schlemmer
Journal:  Eur Radiol       Date:  2014-01-09       Impact factor: 5.315

Review 5.  Dual-energy computed tomography (DECT) in emergency radiology: basic principles, techniques, and limitations.

Authors:  Shima Aran; Khalid W Shaqdan; Hani H Abujudeh
Journal:  Emerg Radiol       Date:  2014-03-28

Review 6.  Use of dual-energy CT for renal mass assessment.

Authors:  Shanigarn Thiravit; Christina Brunnquell; Larry M Cai; Mena Flemon; Achille Mileto
Journal:  Eur Radiol       Date:  2020-11-18       Impact factor: 5.315

Review 7.  CT and MRI of small renal masses.

Authors:  Zhen J Wang; Antonio C Westphalen; Ronald J Zagoria
Journal:  Br J Radiol       Date:  2018-05-10       Impact factor: 3.039

8.  Comparison of image quality and radiation dose between split-filter dual-energy images and single-energy images in single-source abdominal CT.

Authors:  André Euler; Markus M Obmann; Zsolt Szucs-Farkas; Achille Mileto; Caroline Zaehringer; Anna L Falkowski; David J Winkel; Daniele Marin; Bram Stieltjes; Bernhard Krauss; Sebastian T Schindera
Journal:  Eur Radiol       Date:  2018-02-19       Impact factor: 5.315

Review 9.  Correlating Preoperative Imaging with Histologic Subtypes of Renal Cell Carcinoma and Common Mimickers.

Authors:  Jennifer Gordetsky; Jessica Zarzour
Journal:  Curr Urol Rep       Date:  2016-07       Impact factor: 3.092

10.  Distinguishing enhancing from nonenhancing renal masses with dual-source dual-energy CT: iodine quantification versus standard enhancement measurements.

Authors:  Giorgio Ascenti; Achille Mileto; Bernhard Krauss; Michele Gaeta; Alfredo Blandino; Emanuele Scribano; Nicola Settineri; Silvio Mazziotti
Journal:  Eur Radiol       Date:  2013-03-12       Impact factor: 5.315

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