TRENDS IN THE INCIDENCE OF BENIGN-PATHOLOGY LESIONS AT PARTIAL NEPHRECTOMY FOR PRESUMED RENAL CELL CARCINOMA (RCC) IN RENAL MASSES ON PREOPERATIVE COMPUTED TOMOGRAPHY (CT) IMAGING: A SINGLE INSTITUTE EXPERIENCE WITH 261 CONSECUTIVE PATIENTS

2009 ◽  
Vol 181 (4S) ◽  
pp. 356-356
Author(s):  
Sang Un Park ◽  
Seung Hwan Lee ◽  
Byung Ha Chung ◽  
Sang Yol Mah ◽  
Seung Chul Yang ◽  
...  
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Makoto Toguchi ◽  
Toshio Takagi ◽  
Yuko Ogawa ◽  
Satoru Morita ◽  
Kazuhiko Yoshida ◽  
...  

AbstractTo investigate the detection of peritumoral pseudocapsule (PC) using multi-detector row computed tomography (MDCT) for tumors resected by robot-assisted laparoscopic partial nephrectomy (RAPN) for T1 renal cell carcinoma (RCC). Study participants included 206 patients with clinical T1 RCC who underwent RAPN between October 2017 and February 2018. Two radiologists who were blinded to the pathological findings evaluated the computed tomography (CT) images. Radiological diagnosis of a PC was defined by a combination of observations, including a low-attenuation rim between the tumor and renal cortex in the cortico-medullary phase and a high-attenuation rim at the edge of the tumor in the nephrogenic or excretory phase. A PC was detected on CT in 156/206 tumors (76%) and identified by pathology in 182/206 (88%) tumors including 153/166 (92%) clear cell RCC, 13/14 (93%) papillary RCC, and 7/16 (44%) chromophobe RCC. In the whole cohort, CT findings showed a sensitivity of 81.3% (148/182), specificity of 66.7% (16/24), and positive predictive value of 94.9% (148/156). When the data were stratified according to pathological subtypes, MDCT was observed to have a sensitivity of 86.9% (133/153) and specificity of 61.5% (8/13) in clear cell RCC, sensitivity of 38.5% (5/13) and specificity of 100% (1/1) in papillary RCC, and sensitivity of 44.4% (4/7) and specificity of 66.7% (6/9) in chromophobe RCC. A low or high-attenuation rim around the tumor in the cortico-medullary or nephrographic-to-excretory phase indicates a PC of RCC, though the accuracy is not satisfactory even with 64- or 320-detector MDCT.


2018 ◽  
Vol 22 (1) ◽  
Author(s):  
Nompumelelo E. Mlambo ◽  
Nondumiso N.M. Dlamini ◽  
Ronald J. Urry

Background: The incidence of renal cell carcinoma (RCC) is increasing globally owing to the increased use of cross-sectional imaging. Computed tomography (CT) scan is the modality of choice in the diagnosis and pre-operative assessment of RCC. Nephrectomy is the standard treatment for RCC and pre-surgery biopsy is not routinely practised. The accuracy of CT diagnosis and staging in a South African population has not been established.Objectives: To determine the accuracy of CT scan in the diagnosis and pre-operative staging of RCC at Grey’s Hospital.Methods: A retrospective chart review was performed; CT scan reports and histopathological results of adult patients who underwent nephrectomy for presumed RCC on CT scan between January 2010 and December 2016 were compared.Results: Fifty patients met the inclusion criteria for the study. CT significantly overestimated the size of renal masses by 0.7 cm (p = 0.045) on average. The positive predictive value of CT for RCC was 81%. Cystic tumours and those 4 cm and smaller were more likely to be benign. CT demonstrated good specificity for extra-renal extension, vascular invasion and lymph node involvement, but poor sensitivity.Conclusion: In our South African study population, CT is accurate at diagnosing RCC, but false-positives do occur. Non-enhancing or poorly enhancing, cystic, fat-containing and small lesions (4 cm or smaller) are more likely to be benign and ultrasound-guided biopsy should be considered to avoid unnecessary surgery. CT assessment of extra-renal extension and vascular invasion is challenging and additional imaging modalities such as magnetic resonance imaging (MRI) venogram, duplex Doppler ultrasound or Positron emission tomography–computed tomography (PET/CT) may be beneficial.


2016 ◽  
Vol 25 (1) ◽  
pp. 78-82
Author(s):  
Ji Yeon Kim

Renal adenomatosis is a rare disease characterized by numerous adenomas in bilateral kidneys. A literature review shows that malignant tumors can arise in this condition. The present case describes an oncocytic papillary renal cell carcinoma (PRCC) arising in renal adenomatosis. A 70-year-old man presented with incidentally identified, multiple right renal masses on computed tomography. Right nephrectomy was performed, and the resected kidney revealed numerous radiologically undetected small nodules additionally. Microscopically, the nodules were papillary neoplasms of variable sizes and cytological features. The largest nodule measured 1.6 cm and was composed of oncocytic cells, meeting the diagnostic criteria of oncocytic PRCC. The smaller nodules of papillary adenomas and tiny lesions showing a single papillary ingrowth were also seen. This case exhibits a spectrum of renal papillary neoplasms in a resected kidney and can be a valuable case in the understanding of tumorigenesis.


2020 ◽  
Vol 7 (6) ◽  
pp. 2043
Author(s):  
Syed Aadil Shadaab Andrabi ◽  
Syed Mushtaq Ahmad Shah

Bilateral renal tumors remain relatively uncommon, accounting for 1-5% of patients with renal cell carcinoma. Most sporadic renal cell carcinomas are unilateral and unifocal. Bilateral involvement can be synchronous or asynchronous and is found in 2-4% of sporadic renal cell carcinomas. We report a case of 70 years old male who was incidentally found to have bilateral renal masses. Right sided radical nephrectomy and left partial nephrectomy was performed. Histopathological examination of the specimen revealed clear cell carcinoma and confirmed R0 resection. The patient was discharged on 7th postoperative day.


2021 ◽  
Vol 10 (21) ◽  
pp. 1583-1587
Author(s):  
Akshat Kuchhal ◽  
Sanjay Sethi ◽  
Ranjana Gupta ◽  
Kamal Sharma ◽  
Puneet Mittal ◽  
...  

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


Sign in / Sign up

Export Citation Format

Share Document