Literature DB >> 7617859

Renal masses: assessment of corticomedullary-phase and nephrographic-phase CT scans.

R H Cohan1, L S Sherman, M Korobkin, J C Bass, I R Francis.   

Abstract

PURPOSE: To evaluate the role of thin-section helical computed tomography (CT) performed during the corticomedullary phase (CMP) and nephrographic phase (NP) of contrast enhancement in the detection and characterization of renal masses.
MATERIALS AND METHODS: Renal CT scans and medical records of 33 patients were retrospectively reviewed. In all examinations, 5-mm-thick, contiguous, helical-mode scans were obtained before and 40 seconds after initiation of dynamic bolus injection of contrast material (CMP images); 5-mm-thick, contiguous, axial-mode scans were obtained after completion of CMP scanning (NP images).
RESULTS: At review of CMP, NP, and combination images, 259, 389, and 417 lesions, respectively, were identified. The greatest difference in detection occurred in the renal medulla, with 25 lesions identified on CMP images and 111 lesions identified on NP images. False-positive results occurred when CMP images were reviewed without NP images.
CONCLUSION: CT scans obtained only during the CMP of contrast enhancement fail to depict many renal masses that are easily seen on NP images.

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Year:  1995        PMID: 7617859     DOI: 10.1148/radiology.196.2.7617859

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  23 in total

Review 1.  [Multidetector computed tomography (MDCT) of the kidneys].

Authors:  A J Ruppert-Kohlmayr; M M Uggowitzer
Journal:  Radiologe       Date:  2005-10       Impact factor: 0.635

Review 2.  [New techniques in computed tomography. Significance for urology].

Authors:  J Stattaus; M Forsting; M Goyen
Journal:  Urologe A       Date:  2004-11       Impact factor: 0.639

3.  Comparison of post contrast CT urography phases in bladder cancer detection.

Authors:  Malin Helenius; Par Dahlman; Maria Lonnemark; Einar Brekkan; Lisa Wernroth; Anders Magnusson
Journal:  Eur Radiol       Date:  2015-05-24       Impact factor: 5.315

4.  Malignant mesenchymal renal tumor: a rare case of primary renal fibrosarcoma.

Authors:  Madanmohan Gupta; Nandini U Bahri; Pankaj Watal; Shilpa L Chudasama; Swetang G Brahmbhatt; Harinder Yant
Journal:  J Clin Imaging Sci       Date:  2013-11-28

5.  Influence of segmentation margin on machine learning-based high-dimensional quantitative CT texture analysis: a reproducibility study on renal clear cell carcinomas.

Authors:  Burak Kocak; Ece Ates; Emine Sebnem Durmaz; Melis Baykara Ulusan; Ozgur Kilickesmez
Journal:  Eur Radiol       Date:  2019-02-12       Impact factor: 5.315

6.  [Innovative imaging in urology: fascination and future. Yesterday, today, and tomorrow].

Authors:  T Loch; G Schneider
Journal:  Urologe A       Date:  2006-09       Impact factor: 0.639

Review 7.  An overview of non-invasive imaging modalities for diagnosis of solid and cystic renal lesions.

Authors:  Ravinder Kaur; Mamta Juneja; A K Mandal
Journal:  Med Biol Eng Comput       Date:  2019-11-21       Impact factor: 2.602

8.  Importance of phase enhancement for machine learning classification of solid renal masses using texture analysis features at multi-phasic CT.

Authors:  Nicola Schieda; Kathleen Nguyen; Rebecca E Thornhill; Matthew D F McInnes; Mark Wu; Nick James
Journal:  Abdom Radiol (NY)       Date:  2020-07-05

Review 9.  [Imaging renal cell carcinoma].

Authors:  A Graser; C J Zech; C G Stief; M F Reiser; M Staehler
Journal:  Urologe A       Date:  2009-04       Impact factor: 0.639

10.  Effect of phase of enhancement on texture analysis in renal masses evaluated with non-contrast-enhanced, corticomedullary, and nephrographic phase-enhanced CT images.

Authors:  Kathleen Nguyen; Nicola Schieda; Nick James; Matthew D F McInnes; Mark Wu; Rebecca E Thornhill
Journal:  Eur Radiol       Date:  2020-09-10       Impact factor: 5.315

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