Literature DB >> 18794310

Pitfalls in renal mass evaluation and how to avoid them.

Gary M Israel1, Morton A Bosniak.   

Abstract

Characterization of renal masses with computed tomography (CT) and magnetic resonance (MR) imaging is usually clear-cut and accurate. However, potential pitfalls exist in diagnosis of renal masses, and it is necessary to understand these pitfalls to avoid misdiagnosis and possibly unnecessary surgery. Although some of the pitfalls are related to technical factors of the CT and MR imaging equipment, others are related to errors in image interpretation. To maximize detection and characterization of renal masses, the study should include images obtained before and after administration of intravenous contrast material, including images obtained during the nephrographic phase of enhancement. One should be aware of the potential unreliability of absolute Hounsfield unit measurements and of the existence of possible CT pseudoenhancement. When CT results are indeterminate, MR imaging may be helpful in demonstrating enhancement in renal masses. Before diagnosing a renal mass as a malignant neoplasm or suggesting surgery for a renal mass, one should consider alternative benign diagnoses; when appropriate, previous images or a supporting history should be obtained. (c) RSNA, 2008.

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Year:  2008        PMID: 18794310     DOI: 10.1148/rg.285075744

Source DB:  PubMed          Journal:  Radiographics        ISSN: 0271-5333            Impact factor:   5.333


  32 in total

1.  PET/CT in lung cancer: Influence of contrast medium on quantitative and clinical assessment.

Authors:  Florian F Behrendt; Yavuz Temur; Frederik A Verburg; Moritz Palmowski; Thomas Krohn; Hubertus Pietsch; Christiane K Kuhl; Felix M Mottaghy
Journal:  Eur Radiol       Date:  2012-06-04       Impact factor: 5.315

2.  Precision of the measurement of CT numbers: comparison of dual-energy CT spectral imaging with fast kVp switching and conventional CT with phantoms.

Authors:  Izuru Matsuda; Masaaki Akahane; Jiro Sato; Masaki Katsura; Shigeru Kiryu; Naoki Yoshioka; Akira Kunimatsu; Kenji Ino; Kuni Ohtomo
Journal:  Jpn J Radiol       Date:  2011-12-02       Impact factor: 2.374

Review 3.  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

Review 4.  Imaging renal cell carcinoma with ultrasonography, CT and MRI.

Authors:  Michael J Leveridge; Peter J Bostrom; George Koulouris; Antonio Finelli; Nathan Lawrentschuk
Journal:  Nat Rev Urol       Date:  2010-05-18       Impact factor: 14.432

5.  [Tumours of the Kidney: CT vs. MRI. Nearly equal alternatives with minor differences].

Authors:  J Huber; P Hallscheidt; N Wagener; S Pahernik; A Haferkamp; M Hohenfellner
Journal:  Urologe A       Date:  2010-03       Impact factor: 0.639

6.  Renal cancer at unenhanced CT: imaging features, detection rates, and outcomes.

Authors:  Stacy D O'Connor; Stuart G Silverman; Laila R Cochon; Ramin K Khorasani
Journal:  Abdom Radiol (NY)       Date:  2018-07

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

Review 8.  CT and MR imaging of acute adrenal disorders.

Authors:  Amar Udare; Minu Agarwal; Evan Siegelman; Nicola Schieda
Journal:  Abdom Radiol (NY)       Date:  2021-01

9.  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

Review 10.  Evaluation of renal masses with contrast-enhanced ultrasound.

Authors:  S Houtzager; H Wijkstra; J J M C H de la Rosette; M P Laguna
Journal:  Curr Urol Rep       Date:  2013-04       Impact factor: 3.092

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