Differentiating Radiological Features of Rapid- and Slow-Growing Renal Cell Carcinoma Using Multidetector Computed Tomography

2012 ◽  
Vol 36 (3) ◽  
pp. 313-318 ◽  
Author(s):  
Seung Joon Choi ◽  
Hyung-Sik Kim ◽  
Su-Joa Ahn ◽  
Yulri Park ◽  
Hye-Young Choi
Keyword(s):  
Computed Tomography ◽  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Multidetector Computed Tomography ◽  
Renal Cell ◽  
Radiological Features ◽  
Slow Growing

scholarly journals Multidetector Computed Tomography in the Evaluation of Renal Masses - A Prospective Study from Ambala, India

2021 ◽  
Vol 10 (21) ◽  
pp. 1583-1587
Author(s):  
Akshat Kuchhal ◽  
Sanjay Sethi ◽  
Ranjana Gupta ◽  
Kamal Sharma ◽  
Puneet Mittal ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Renal Cell Carcinoma ◽  
Prospective Study ◽  
Cell Carcinoma ◽  
Multidetector Computed Tomography ◽  
Renal Cell ◽  
Renal Mass ◽  
Renal Cyst ◽  
Renal Masses ◽  
A Prospective Study

BACKGROUND The advent of Multidetector Computed Tomography (MDCT) has created several important advances in the detection and characterization of renal masses due to its high accuracy, low cost, and easy availability. There is a growing need to separate benign lesions from malignant ones so as to provide an appropriate timely treatment. It can be used with contrast agents and helps in providing data during multiple phases along with the possibility of multiplanar image reconstruction anytime in the future. We wanted to study the role of CT imaging as a diagnostic modality for the evaluation of renal masses. METHODS This is a prospective study conducted among 50 cases, with clinically or radiologically diagnosed renal mass who were referred to our department . A detailed clinical history, thorough clinical examination, ultrasonography and multiphase - CECT using a Philips 128 - slice multi detector scanner (Ingenuity), were performed using the set - protocol followed by multiplanar reconstruction and detailed evaluation. Findings of CT scan were correlated with clinical / biopsy / surgical findings. RESULTS Renal cell carcinoma (RCC) was the most common renal mass in our study group (48 %) followed by renal cyst (30 %). The most common presenting symptom of RCC was haematuria (91.6 %) followed by flank pain (58.3 %). Renal cyst was a fairly common lesion with majority (93.3 %) being BOSNIAK - I category. RCC most commonly showed malignant extension via lymph nodes (83.3 %) while transitional cell cancer (TCC) most commonly spread via ureteric extension (75 %). Inferior vena cava (IVC) extension, even though seen only in a small fraction of cases (4 %), was only associated with RCC. On correlation with histopathological findings, a sensitivity of 95.8 %, specificity of 96.15 % and a diagnostic accuracy of 96 % was found, for diagnosing RCC in our study. CONCLUSIONS MDCT is a robust technique for detection and characterisation of renal mases. It is rapid and easily available with excellent patient compliance. MDCT has excellent sensitivity and specificity for characterisation of renal masses. KEY WORDS MDCT, Renal Mass, Renal Cell Carcinoma, Cyst, Attenuation, Enhancement

scholarly journals Distinguishing Renal Cell Carcinoma From Other Focal Renal Lesions on Multidetector Computed Tomography

2020 ◽  
Vol 43 (1) ◽  
pp. 1-12
Author(s):  
Pornphan Wibulpolprasert ◽  
Chompoonuch Thongthong ◽  
Bussanee Wibulpolprasert
Keyword(s):  
Computed Tomography ◽  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Multidetector Computed Tomography ◽  
Renal Cell ◽  
Wide Spectrum ◽  
Renal Lesion ◽  
Renal Surgery ◽  
Renal Lesions ◽  
Solid Renal Mass

Background: The increased use of imaging modalities has led to a greater incidence in depicting solid renal mass. These lesions comprise a wide spectrum of malignant such as renal cell carcinoma (RCC) and benign histologies. Objective: To determine the multidetector computed tomography (MDCT) features that discriminate RCC from other focal renal lesions. Methods: A retrospective review was performed on 148 patients who underwent renal CT scan followed by renal surgery or biopsy during January 2008 to July 2014. Specific predictive MDCT features of RCC were determined by logistic regression analysis. Interobserver agreement (kappa [K] values) was also calculated for each CT feature. Results: In 148 pathologic proved focal renal lesions, 91 (61.5%) were RCCs and 57 (38.5%) were non-RCCs. RCCs were more likely to be in male patients (OR, 5.39; 95% CI, 2.25 - 12.90), no internal fat component (OR, 46.50; 95% CI, 5.25 - 411.90), locate at peripheral (OR, 7.41; 95% CI, 1.63 - 33.73), and mixed central-peripheral locations (OR, 26.22; 95% CI, 4.23 - 162.58) of the kidney. There was moderate-to-excellent agreement among the readers over all these features (K = 0.43 - 0.91). Conclusions: Focal renal lesion with no internal fat component in MDCT is the most useful characteristic in differentiating RCCs from others.  

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