Literature DB >> 16006863

Differentiation of renal cell carcinoma subtypes by multislice computerized tomography.

Khaled Z Sheir1, Mohamed El-Azab, Ahmed Mosbah, Mahmoud El-Baz, Atallah A Shaaban.   

Abstract

PURPOSE: We differentiated renal cell carcinoma subtypes using multislice computerized tomography (CT).
MATERIALS AND METHODS: We reviewed the CT images of 87 patients with renal cell carcinoma. Three subtypes of renal cell carcinoma were noted, including clear cell in 37 cases, papillary in 26 and chromophobe in 24. Biphasic CT (unenhanced, corticomedullary and excretory phases) was done in all patients. We compared patient age and sex, tumor size, enhancement degree and pattern (homogeneous, heterogeneous and predominantly peripheral), the presence or absence of calcification or cystic degeneration (necrotic or hemorrhagic areas within the tumor) and tumor spreading patterns, including perinephric change, venous invasion and lymphadenopathy, in the 3 subtypes.
RESULTS: The degree of enhancement was significantly different among the 3 subtypes in the corticomedullary and excretory phases (p <0.001). Cystic degeneration was more evident in the clear cell subtype than in the other subtypes regardless of tumor size (p <0.001). A hypervascular pattern (higher tumor enhancement after contrast material injection due to higher vascularity) was noted in 48.6% of clear cell subtype in comparison to 15.4% of papillary and 4.2% of chromophobe subtypes (p <0.001). The chromophobe subtype showed homogeneous enhancement in 75% of cases in comparison to 45% and 65% of clear cell and papillary subtypes (p >0.05). Calcification was evident in 21.6%, 23.1% and 25% of clear cell, papillary and chromophobe subtypes, respectively (p >0.05).
CONCLUSIONS: To differentiate the subtypes of renal cell carcinoma the degree of enhancement is the most valuable parameter. The presence or absence of cystic degeneration, vascularity and enhancement patterns can serve supplemental role in differentiating renal cell carcinoma subtypes.

Entities:  

Mesh:

Year:  2005        PMID: 16006863     DOI: 10.1097/01.ju.0000165341.08396.a9

Source DB:  PubMed          Journal:  J Urol        ISSN: 0022-5347            Impact factor:   7.450


  31 in total

1.  The essence of the Japan Radiological Society/Japanese College of Radiology Imaging Guideline.

Authors:  Yasuyuki Yamashita; Sadayuki Murayama; Masahiro Okada; Yoshiyuki Watanabe; Masako Kataoka; Yasushi Kaji; Keiko Imamura; Yasuo Takehara; Hiromitsu Hayashi; Kazuko Ohno; Kazuo Awai; Toshinori Hirai; Kazuyuki Kojima; Shuji Sakai; Naofumi Matsunaga; Takamichi Murakami; Kengo Yoshimitsu; Toshifumi Gabata; Kenji Matsuzaki; Eriko Tohno; Yasuhiro Kawahara; Takeo Nakayama; Shuichi Monzawa; Satoru Takahashi
Journal:  Jpn J Radiol       Date:  2016-01       Impact factor: 2.374

Review 2.  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

3.  [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

4.  Imaging techniques as predictive and prognostic biomarkers in renal cell carcinoma.

Authors:  Paul Nathan; Anup Vinayan
Journal:  Ther Adv Med Oncol       Date:  2013-03       Impact factor: 8.168

5.  CT texture analysis in the differentiation of major renal cell carcinoma subtypes and correlation with Fuhrman grade.

Authors:  Yu Deng; Erik Soule; Aster Samuel; Sakhi Shah; Enming Cui; Michael Asare-Sawiri; Chandru Sundaram; Chandana Lall; Kumaresan Sandrasegaran
Journal:  Eur Radiol       Date:  2019-05-24       Impact factor: 5.315

6.  18-F fluorodeoxyglucose uptake in positron emission tomography as a pathological grade predictor for renal clear cell carcinomas.

Authors:  Yoshifumi Noda; Masayuki Kanematsu; Satoshi Goshima; Natsuko Suzui; Yoshinobu Hirose; Kengo Matsunaga; Hironori Nishibori; Hiroshi Kondo; Haruo Watanabe; Hiroshi Kawada; Nobuyuki Kawai; Yukichi Tanahashi; Kyongtae T Bae
Journal:  Eur Radiol       Date:  2015-04-09       Impact factor: 5.315

7.  Renal cell carcinoma: applicability of the apparent coefficient of the diffusion-weighted estimated by MRI for improving their differential diagnosis, histologic subtyping, and differentiation grade.

Authors:  Yulian Mytsyk; Ihor Dutka; Yuriy Borys; Iryna Komnatska; Iryna Shatynska-Mytsyk; Ammad Ahmad Farooqi; Katarina Gazdikova; Martin Caprnda; Luis Rodrigo; Peter Kruzliak
Journal:  Int Urol Nephrol       Date:  2016-11-16       Impact factor: 2.370

Review 8.  Imaging of Solid Renal Masses.

Authors:  Fernando U Kay; Ivan Pedrosa
Journal:  Urol Clin North Am       Date:  2018-06-15       Impact factor: 2.241

9.  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

10.  Multiphasic enhancement patterns of small renal masses (≤4 cm) on preoperative computed tomography: utility for distinguishing subtypes of renal cell carcinoma, angiomyolipoma, and oncocytoma.

Authors:  Phillip M Pierorazio; Elias S Hyams; Salina Tsai; Zhaoyong Feng; Bruce J Trock; Jeffrey K Mullins; Pamela T Johnson; Elliot K Fishman; Mohamad E Allaf
Journal:  Urology       Date:  2013-04-17       Impact factor: 2.649

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.