Literature DB >> 24381132

Pretreatment differentiation of renal cell carcinoma subtypes by CT: the influence of different tumor enhancement measurement approaches.

Ivan Zokalj1, Miljenko Marotti, Branko Kolarić.   

Abstract

PURPOSE: We conducted a retrospective study to evaluate the influence of different tumor enhancement measurement approaches on the ability of computed tomography (CT) to differentiate between solid forms of clear cell renal cell carcinoma (RCC), other RCC histologic subtypes and oncocytomas. Different RCC subtypes have a diverse range of malignant potential; consequently, the information about RCC subtype obtained using minimally invasive imaging method before the treatment could allow the more accurate therapy planning. Differentiation of ccRCCs from oncocytomas is important because oncocytomas are usually benign tumors which could be treated conservatively.
METHODS: CT images of 113 patients with 118 solid renal tumors were evaluated. The imaging protocol consisted pre-contrast and post-contrast images during the arterial and nephrographic phases. Renal tumor attenuation values were measured using region of interest covering as much of the solid enhancing tumor tissue as possible. Tumor attenuation values and tumor enhancement ratios were correlated with histologic subtype. One hundred of tumors were diagnosed as clear cell RCC, nine as non-clear cell RCC and nine as oncocytoma.
RESULTS: Tumor attenuation values of >74 HU on the arterial phase scans significantly correlated with clear cell RCC (Az 0.73). The tumor-to-aorta enhancement ratios calculated on tumor attenuation values measured on the arterial phase scans had a cutoff value of >0.29, which significantly correlated with clear cell RCC (Az 0.79). All ROC curves for differentiating the clear cell RCC from oncocytomas have area under the curve too small (0.5 or less) to have chose cutoff value with sensitivity and specificity that could be applied in clinical work.
CONCLUSION: Enhancement measurements of renal carcinomas on CT images in the arterial phase can be used as an auxiliary method in the pretreatment differentiation of solid forms of the most frequent RCC subtypes in patients not suitable for core biopsy but who are suitable for minimally invasive treatment methods and/or targeted therapy.

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Year:  2014        PMID: 24381132     DOI: 10.1007/s11255-013-0631-8

Source DB:  PubMed          Journal:  Int Urol Nephrol        ISSN: 0301-1623            Impact factor:   2.370


  34 in total

1.  High-resolution multidetector CT in the preoperative evaluation of patients with renal cell carcinoma.

Authors:  C Catalano; F Fraioli; A Laghi; A Napoli; F Pediconi; M Danti; P Nardis; R Passariello
Journal:  AJR Am J Roentgenol       Date:  2003-05       Impact factor: 3.959

2.  Preoperative staging of renal cell carcinoma using magnetic resonance imaging: comparison with pathological staging.

Authors:  Martina Spero; Boris Brkljacic; Branko Kolaric; Miljenko Marotti
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Review 4.  How not to miss or mischaracterize a renal cell carcinoma: protocols, pearls, and pitfalls.

Authors:  Pamela T Johnson; Karen M Horton; Elliot K Fishman
Journal:  AJR Am J Roentgenol       Date:  2010-04       Impact factor: 3.959

Review 5.  Measuring the accuracy of diagnostic systems.

Authors:  J A Swets
Journal:  Science       Date:  1988-06-03       Impact factor: 47.728

6.  Outcomes of small renal mass needle core biopsy, nondiagnostic percutaneous biopsy, and the role of repeat biopsy.

Authors:  Michael J Leveridge; Antonio Finelli; John R Kachura; Andrew Evans; Hannah Chung; Daniel A Shiff; Kimberly Fernandes; Michael A S Jewett
Journal:  Eur Urol       Date:  2011-06-24       Impact factor: 20.096

Review 7.  Current concepts in the diagnosis and management of renal cell carcinoma: role of multidetector ct and three-dimensional CT.

Authors:  S Sheth; J C Scatarige; K M Horton; F M Corl; E K Fishman
Journal:  Radiographics       Date:  2001-10       Impact factor: 5.333

Review 8.  Papillary renal cell carcinoma: radiologic-pathologic correlation and spectrum of disease.

Authors:  Raghunandan Vikram; Chaan S Ng; Pheroze Tamboli; Nizar M Tannir; Eric Jonasch; Surena F Matin; Christopher G Wood; Carl M Sandler
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Authors:  Noemi Schmidt; Viviane Hess; Thomas Zumbrunn; Christian Rothermundt; Georg Bongartz; Silke Potthast
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Review 10.  Update on radiological imaging of renal cell carcinoma.

Authors:  Deirdre M Coll; Robert C Smith
Journal:  BJU Int       Date:  2007-05       Impact factor: 5.588

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  8 in total

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2.  Advances of multidetector computed tomography in the characterization and staging of renal cell carcinoma.

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Journal:  Radiologe       Date:  2018-10       Impact factor: 0.635

4.  Preoperative evaluation of renal cell carcinoma by using 18F-FDG PET/CT.

Authors:  Miwako Takahashi; Haruki Kume; Keitaro Koyama; Tohru Nakagawa; Tetsuya Fujimura; Teppei Morikawa; Masashi Fukayama; Yukio Homma; Kuni Ohtomo; Toshimitsu Momose
Journal:  Clin Nucl Med       Date:  2015-12       Impact factor: 7.794

5.  Role of Contrast Enhancement and Corrected Attenuation Values of Renal Tumors in Predicting Renal Cell Carcinoma (RCC) Subtypes: Protocol for a Triphasic Multi-Slice Computed Tomography (CT) Procedure.

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6.  Dynamic Contrast-enhanced MRI in Renal Tumors: Common Subtype Differentiation using Pharmacokinetics.

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Journal:  Sci Rep       Date:  2017-06-08       Impact factor: 4.379

7.  Caspase 3 as a Novel Marker to Distinguish Chromophobe Renal Cell Carcinoma from Oncocytoma.

Authors:  Adam Kowalewski; Łukasz Szylberg; Janusz Tyloch; Paulina Antosik; Izabela Neska-Długosz; Łukasz Frąckowski; Dominik Tyloch; Piotr Purpurowicz; Dariusz Grzanka
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8.  Assessment of Semiquantitative Parameters of Dynamic Contrast-Enhanced Perfusion MR Imaging in Differentiation of Subtypes of Renal Cell Carcinoma.

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  8 in total

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