scholarly journals Cavitating pulmonary metastases from a renal cell carcinoma

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Kulothungan Gunasekaran ◽  
Berty Baskaran ◽  
Mandeep Singh Rahi ◽  
Daniel Rudolph ◽  
Jay Parekh
Keyword(s):  
Computed Tomography ◽  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Lung Nodule ◽  
Left Lung ◽  
Pulmonary Nodules ◽  
Papillary Renal Cell Carcinoma ◽  
Metastatic Carcinoma ◽  
Diagnostic Challenge

Cavitary lung lesions are quite common findings on chest imaging and often pose a diagnostic challenge to the clinicians. We describe a case of a 75-year-old male who presented to the emergency room with hemoptysis. Computed tomography of the chest demonstrated multiple cavitary pulmonary nodules with peripheral groundglass opacities. Bronchoscopy did not reveal any active bleeding source, and washings were negative for malignancy and infectious cause. Computed Tomography guided biopsy of the left lung nodule showed metastatic carcinoma consistent with papillary renal cell carcinoma. This case highlights the unusual presentation of metastatic renal cell carcinoma.

Oncocytic Papillary Renal Cell Carcinoma in the Background of Renal Adenomatosis

2016 ◽  
Vol 25 (1) ◽  
pp. 78-82
Author(s):  
Ji Yeon Kim
Keyword(s):  
Computed Tomography ◽  
Renal Cell Carcinoma ◽  
Literature Review ◽  
Cell Carcinoma ◽  
Rare Disease ◽  
Renal Cell ◽  
Malignant Tumors ◽  
Papillary Renal Cell Carcinoma ◽  
Renal Masses ◽  
Cytological Features

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.

scholarly journals Computed tomography imaging characteristics of clear cell papillary renal cell carcinoma

2020 ◽  
Vol 46 (1) ◽  
pp. 26-33 ◽  
Author(s):  
Taro Banno ◽  
Toshio Takagi ◽  
Tsunenori Kondo ◽  
Kazuhiko Yoshida ◽  
Junpei Iizuka ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Clear Cell ◽  
Papillary Renal Cell Carcinoma ◽  
Computed Tomography Imaging ◽  
Tomography Imaging ◽  
Imaging Characteristics

Renal Metanephric Adenoma Mimicking Papillary Renal Cell Carcinoma on Computed Tomography: A Case Report

2013 ◽  
Vol 90 (3) ◽  
pp. 369-372 ◽  
Author(s):  
Akinori Masuda ◽  
Takao Kamai ◽  
Tomoya Mizuno ◽  
Tsunehito Kambara ◽  
Hideyuki Abe ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Renal Cell Carcinoma ◽  
Case Report ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Papillary Renal Cell Carcinoma ◽  
Metanephric Adenoma

scholarly journals Automated Classification of Papillary Renal Cell Carcinoma and Chromophobe Renal Cell Carcinoma Based on a Small Computed Tomography Imaging Dataset Using Deep Learning

2021 ◽  
Vol 11 ◽  
Author(s):  
Teng Zuo ◽  
Yanhua Zheng ◽  
Lingfeng He ◽  
Tao Chen ◽  
Bin Zheng ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Renal Cell Carcinoma ◽  
Deep Learning ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Model Performance ◽  
Papillary Renal Cell Carcinoma ◽  
Chromophobe Renal Cell Carcinoma ◽  
Test Set ◽  
Pathological Subtype

ObjectivesThis study was conducted in order to design and develop a framework utilizing deep learning (DL) to differentiate papillary renal cell carcinoma (PRCC) from chromophobe renal cell carcinoma (ChRCC) using convolutional neural networks (CNNs) on a small set of computed tomography (CT) images and provide a feasible method that can be applied to light devices.MethodsTraining and validation datasets were established based on radiological, clinical, and pathological data exported from the radiology, urology, and pathology departments. As the gold standard, reports were reviewed to determine the pathological subtype. Six CNN-based models were trained and validated to differentiate the two subtypes. A special test dataset generated with six new cases and four cases from The Cancer Imaging Archive (TCIA) was applied to validate the efficiency of the best model and of the manual processing by abdominal radiologists. Objective evaluation indexes [accuracy, sensitivity, specificity, receiver operating characteristic (ROC) curve, and area under the curve (AUC)] were calculated to assess model performance.ResultsThe CT image sequences of 70 patients were segmented and validated by two experienced abdominal radiologists. The best model achieved 96.8640% accuracy (99.3794% sensitivity and 94.0271% specificity) in the validation set and 100% (case accuracy) and 93.3333% (image accuracy) in the test set. The manual classification achieved 85% accuracy (100% sensitivity and 70% specificity) in the test set.ConclusionsThis framework demonstrates that DL models could help reliably predict the subtypes of PRCC and ChRCC.

Differential diagnosis of chromophobe renal cell carcinoma and papillary renal cell carcinoma with dual-energy spectral computed tomography

2020 ◽  
Vol 61 (11) ◽  
pp. 1562-1569
Author(s):  
Dan Wang ◽  
Xiaoyu Huang ◽  
Liangcai Bai ◽  
Xueling Zhang ◽  
Jinyan Wei ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Papillary Renal Cell Carcinoma ◽  
Chromophobe Renal Cell Carcinoma ◽  
Spectral Ct ◽  
Quantitative Parameters ◽  
Enhanced Ct ◽  
Spectrum Curve

Background Computed tomography (CT) image features of chromophobe renal cell carcinoma (ChRCC) and papillary renal cell carcinoma (PRCC) are, occasionally, sometimes difficult to identify. However, spectral CT might provide quantitative parameters to differentiate them. Purpose To differentiate between ChRCC and PRCC with quantitative parameters using spectral CT. Material and Methods Forty cases of RCC confirmed with pathological tests were analyzed retrospectively (27 cases of PRCC and 13 cases of ChRCC). All patients underwent non-enhanced CT and dual-phase contrast-enhanced CT scans. For each lesion, the CT value of monochromatic images as well as iodine and water concentrations were measured, and the slope of spectrum curve was calculated. Data were analyzed using Student’s t-test. Sensitivity and specificity of the quantitative parameters were analyzed using the receiver operating characteristic (ROC) curve. Results During the cortex phase (CP) and parenchyma phase (PP), the CT value and slope of spectrum curve of ChRCC were higher than those of PRCC, and significant differences were observed at low energy levels (40–70 keV). Normalized iodine concentration of ChRCC and that of PRCC was significantly different during CP and PP ( P < 0.05). The water (iodine) concentrations of ChRCC and PRCC in CP and PP were not statistically different ( P > 0.05). All the ROCs for parameters were above the reference line. Conclusion Spectral CT may help increase the diagnostic accuracy of differentiating PRCC from ChRCC using a quantitative analysis.

scholarly journals Sporadic bilateral synchronous multicentric papillary renal cell carcinoma masquerading as bilateral multifocal pyelonephritis

2014 ◽  
Vol 96 (5) ◽  
pp. e7-e10 ◽  
Author(s):  
VS Karthikeyan ◽  
LN Dorairajan ◽  
S Kumar ◽  
AR Vijayakumar ◽  
A Ramesh ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Renal Cell Carcinoma ◽  
Abdominal Pain ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
English Literature ◽  
Papillary Renal Cell Carcinoma ◽  
Inflammatory Condition ◽  
Focal Lesions ◽  
Rare Form

Pyelonephritis is defined as an inflammation of the kidney and renal pelvis. The diagnosis is usually clinical. Acute multifocal bacterial nephritis is a rare form of pyelonephritis that is more severe and sepsis is more common. We report a patient who presented with fever and right-sided abdominal pain associated with right flank tenderness, suggesting right acute pyelonephritis. Bilateral multifocal pyelonephritis was diagnosed on ultrasonography, radionuclide renal scintigraphy and computed tomography. However, owing to non-resolution of symptoms, a biopsy was performed, which showed bilateral papillary renal cell carcinoma (PRCC). PRCC is known to exhibit multicentricity. To our knowledge, a case of bilateral multicentric PRCC masquerading as bilateral multifocal pyelonephritis has not been reported in the English literature. This case highlights the need to be vigilant while treating patients with focal lesions of the kidney as an inflammatory condition lest a malignancy should be missed.

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