Literature DB >> 25313738

Dynamic computed tomography and Doppler findings in different subtypes of renal cell carcinoma with their histopathological correlation.

Binit Sureka1, Anupam Lal, N Khandelwal, Kusum Joshi, S K Singh, Mayank M Agarwal, Aliza Mittal.   

Abstract

BACKGROUND: Renal cell carcinoma (RCC) is by far the most common soft-tissue mass and accounts for 85% of all malignant masses of the kidney. Histopathological subtype has clinical implications in the form of prognosis and response to various newer and adjuvant treatment strategies. AIM: The aim of this study was to evaluate the morphology and enhancement patterns of different subtypes of RCC and correlate them with their histopathological subtypes.
MATERIALS AND METHODS: The study group comprised of 20 consecutive patients of RCC. The patients were evaluated with multi-detector-row computed tomography (MDCT) and Doppler ultrasound prior to surgery and findings compared with histopathological subtypes of tumor.
RESULTS: RCC was confirmed on histopathology. Out of 20 patients with RCC, 14 were finally diagnosed as clear cell, 4 chromophobe and 2 as papillary subtypes of RCC. None of clear-cell type showed homogenous enhancement. The mean attenuation in corticomedullary phase (CMP) and nephrographic phase (NP) for clear cell and chromophobe subtype was higher than papillary subtype, i.e. 116.1 ± 27 HU and 91.9 ± 21 HU for clear cell, 103 ± 22.4 HU and 96.2 ± 9.2 HU for chromophobe subtype and 78.5 ± 12.4 HU and 73.3 ± 12.2 HU for papillary subtype respectively. On Doppler US evaluation, non-clear-cell subtypes, which showed heterogenous enhancement on MDCT showed less color flow and peak systolic velocity (PSV). The difference in PSV and Doppler shift frequency values between clear-cell carcinoma and chromophobe subtypes were statistically significant (P = 0.003).

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Year:  2014        PMID: 25313738     DOI: 10.4103/0973-1482.137924

Source DB:  PubMed          Journal:  J Cancer Res Ther        ISSN: 1998-4138            Impact factor:   1.805


  5 in total

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Journal:  Radiol Clin North Am       Date:  2016-12-12       Impact factor: 2.303

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Authors:  Fernando U Kay; Ivan Pedrosa
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4.  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

5.  Can we Predict Preoperative Tumor Aggressivity with Hemogram Parameters in Renal Cell Carcinoma? a Novel Calculation Method.

Authors:  Murat Uçar; Sedat Soyupek; Taylan Oksay; Alper Özorak; Ali Akkoç; Murat Topçuoğlu; Murat Demir; Alim Koşar
Journal:  J Med Syst       Date:  2019-12-10       Impact factor: 4.460

  5 in total

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