scholarly journals Approach to Complex Renal Cysts: A Single Center Experience

2021 ◽  
Author(s):  
Nadir Kalfazade ◽  
Ekrem Güner
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Renal Cyst ◽  
Renal Cysts ◽  
Papillary Renal Cell Carcinoma ◽  
Lesion Size ◽  
Cell Renal Cell Carcinoma ◽  
Study Results ◽  
The Mean

Objective: Our objective in this study was to present the data for patients followed-up and underwent surgery due to complex renal cyst using Bosniak classification system. Method: Data of all patients followed-up or underwent surgery via open / minimal invasive methods due to complex renal cyst in our clinic between 2016 and 2019 were retrospectively evaluated. Bosniak category IIF and higher lesions were included in the study. Results: A total of 83 patients were included in the study. The mean age of the patients was 52 ±10.1 years and 40 (48.2%) were male and 43 (51.8%) were female. 53 (63.9%) patients had Bosniak IIF, 18 (21.7%) patients had Bosniak III and 12 (14.5%) patients had Bosniak IV lesions. Mean lesion size was 54±27.4 mm. Surgery was performed in a total of 41 (49.4%) patients. Based on final pathology result, while benign pathologies were detected in 13 (31.7%) patients, clear cell renal cell carcinoma was detected in 22 (53.7%) patients and papillary renal cell carcinoma in 6 (14.6%) patients. Malignity rates were detected as 18.9%, 44.4% and 83.3% in Bosniak IIF, III and IV lesions respectively. While the mean lesion size of patients who had benign pathology were 64.6±18.4 mm, mean lesion size of patients with malign pathology were 58.3±29.7 mm (p =.41). Conclusion: Progression is an important malignity finding in Bosniak IIF lesions. An important amount of especially Bosniak III lesions is overtreated. Thus, active surveillance is a treatment which should be considered in these patients. More comprehensive prospective randomized studies are needed.

Vascular architectural patterns in clear cell renal cell carcinoma and clear cell papillary renal cell carcinoma

2021 ◽  
Author(s):  
Sofia Canete-Portillo ◽  
Maria del Carmen Rodriguez Pena ◽  
Dezhi Wang ◽  
Diego F. Sanchez ◽  
George J. Netto ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Clear Cell ◽  
Papillary Renal Cell Carcinoma ◽  
Cell Renal Cell Carcinoma ◽  
Architectural Patterns

Renal Cell Carcinoma With Intratumoral Calcium Oxalate Crystal Deposition in Patients With Acquired Cystic Disease of the Kidney

2003 ◽  
Vol 127 (2) ◽  
pp. e89-e92
Author(s):  
Nathalie C. Rioux-Leclercq ◽  
Jonathan I. Epstein
Keyword(s):  
Renal Cell Carcinoma ◽  
Calcium Oxalate ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Papillary Renal Cell Carcinoma ◽  
Cystic Disease ◽  
Calcium Oxalate Crystal ◽  
Cell Renal Cell Carcinoma ◽  
Crystal Deposition ◽  
Acquired Cystic Disease

Abstract We describe 2 cases of renal cell carcinoma arising in acquired cystic disease of the kidney (ACDK) in patients with end-stage renal disease undergoing hemodialysis for more than 5 years and provide a brief review of the complications of ACDK. In both cases, abundant calcium oxalate crystals were observed within the tumors. Histologically, one of the tumors was a conventional (clear cell) renal cell carcinoma. The other tumor was a bilateral papillary renal cell carcinoma. Both tumors were high-grade carcinomas with extensive oncocytic (acidophilic) features. Also noted within the kidneys were cysts with atypical papillary hyperplasia. The clinicopathologic findings along with review of the literature suggest a relationship between tumor growth and calcium oxalate crystal deposition in patients undergoing hemodialysis with ACDK.

Clear Cell Renal Cell Carcinoma With Borderline Features of Clear Cell Papillary Renal Cell Carcinoma

2015 ◽  
Vol 39 (11) ◽  
pp. 1502-1510 ◽  
Author(s):  
Sean R. Williamson ◽  
Nilesh S. Gupta ◽  
John N. Eble ◽  
Craig G. Rogers ◽  
Susan Michalowski ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Clear Cell ◽  
Papillary Renal Cell Carcinoma ◽  
Cell Renal Cell Carcinoma

scholarly journals Case Report: Multifocal biphasic squamoid alveolar renal cell carcinoma

F1000Research ◽  
2016 ◽  
Vol 5 ◽  
pp. 607 ◽  
Author(s):  
José I. López
Keyword(s):  
Renal Cell Carcinoma ◽  
Case Report ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Clear Cell ◽  
Papillary Renal Cell Carcinoma ◽  
Rare Tumor ◽  
Tumor Subtype ◽  
Cell Renal Cell Carcinoma ◽  
Gross Examination

A multifocal biphasic squamoid alveolar renal cell carcinoma in a 68-year-old man is reported. Four different peripheral tumor nodules were identified on gross examination. A fifth central tumor corresponded to a conventional clear cell renal cell carcinoma. Biphasic squamoid alveolar renal cell carcinoma is a rare tumor that has been very recently characterized as a distinct histotype within the spectrum of papillary renal cell carcinoma. Immunostaining with cyclin D1 seems to be specific of this tumor subtype. This is the first reported case with multifocal presentation.

scholarly journals A pyramidal deep learning pipeline for kidney whole-slide histology images classification

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Hisham Abdeltawab ◽  
Fahmi Khalifa ◽  
Mohammed Mohammed ◽  
Liang Cheng ◽  
Dibson Gondim ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Deep Learning ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Clear Cell ◽  
Correct Diagnosis ◽  
Papillary Renal Cell Carcinoma ◽  
Automated Classification ◽  
Cell Renal Cell Carcinoma ◽  
Whole Slide Images

AbstractRenal cell carcinoma is the most common type of kidney cancer. There are several subtypes of renal cell carcinoma with distinct clinicopathologic features. Among the subtypes, clear cell renal cell carcinoma is the most common and tends to portend poor prognosis. In contrast, clear cell papillary renal cell carcinoma has an excellent prognosis. These two subtypes are primarily classified based on the histopathologic features. However, a subset of cases can a have a significant degree of histopathologic overlap. In cases with ambiguous histologic features, the correct diagnosis is dependent on the pathologist’s experience and usage of immunohistochemistry. We propose a new method to address this diagnostic task based on a deep learning pipeline for automated classification. The model can detect tumor and non-tumoral portions of kidney and classify the tumor as either clear cell renal cell carcinoma or clear cell papillary renal cell carcinoma. Our framework consists of three convolutional neural networks and the whole slide images of kidney which were divided into patches of three different sizes for input into the networks. Our approach can provide patchwise and pixelwise classification. The kidney histology images consist of 64 whole slide images. Our framework results in an image map that classifies the slide image on the pixel-level. Furthermore, we applied generalized Gauss-Markov random field smoothing to maintain consistency in the map. Our approach classified the four classes accurately and surpassed other state-of-the-art methods, such as ResNet (pixel accuracy: 0.89 Resnet18, 0.92 proposed). We conclude that deep learning has the potential to augment the pathologist’s capabilities by providing automated classification for histopathological images.

scholarly journals Von Hippel-Lindau Tumor; Radiographic Images

2017 ◽  
Vol 2 (1) ◽  
pp. 30
Author(s):  
Reza Bidaki ◽  
Azam Ghanei ◽  
Seyed Mehdi Hosseinizade ◽  
Mohammad Ebrahim Ghanei
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Renal Cysts ◽  
Cell Renal Cell Carcinoma ◽  
Radiographic Images ◽  
Von Hippel Lindau ◽  
Malignant Lesions ◽  
Vhl Disease ◽  
Renal Computed Tomography

The patient is a 34-year-old patient with abdominal pain, gross hematuria with anxiety and worries about it from 5 months ago. The physician requested renal computed tomography (CT) without and then with contrast for rule out of renal stone. However, he found multiple lesions in kidneys. The laboratory tests were normal except hematuria. He was a candidate for surgery. The pathologist reported clear red cell renal cell carcinoma. He was referred to a radiologist for staging. Von Hippel – Lindau (VHL) disease is an inherited and rare disease that is characterized by a variety of benign and malignant lesions (1). It preval ence is 1 in 31,000 -53,000 (2,3). Previous studies shown 59 – 63% of patients have renal cysts and 24 - 45 % renal cell carcinoma (4), and in 75 % of cases ,the lesions are bilateral (4, 5). Involvement of pancreas includes simple cysts (50 – 91%), serous m icrocystic adenomas (12%) and adenocarcinoma (7%) (2, 4).

scholarly journals Similarities and Differences between Clear Cell Tubulo-Papillary and Conventional Clear Cell Renal Cell Carcinoma: A Comparative Phenotypical and Mutational Analysis

Diagnostics ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 123
Author(s):  
Francesca Giunchi ◽  
Tania Franceschini ◽  
Elisa Gruppioni ◽  
Annalisa Altimari ◽  
Elisa Capizzi ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Differential Diagnosis ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Clear Cell ◽  
Mutational Analysis ◽  
Papillary Renal Cell Carcinoma ◽  
Tumor Type ◽  
Wild Type ◽  
Cell Renal Cell Carcinoma

Background: Clear cell tubulo-papillary renal cell carcinoma (cctpRCC) is characterized by clear cell morphology, but differs from conventional clear cell carcinoma (ccRCC) for its indolent clinical behavior and genetic background. The differential diagnosis between the two is based on histology and immunohistochemistry (IHC). Methods: We performed a comparative case-control histological, IHC, and genetic analysis by next generation sequencing (NGS), to point out the differences in 10 cases of cctpRCC, and six controls of ccRCC with low stage and grade. Results: All 16 cases showed the IHC profile with cytokeratin 7, racemase, and carbonic anhydrase IX expected for the histological features of each tumor type. By contrast, the NGS mutation analysis that covered 207 amplicons of 50 oncogenes or tumor suppressor genes provided conflicting results. Among the 10 cctpRCC cases, eight (80%) were wild type for all of the genes in the panel, while two (20%) harbored VHL mutations typical of ccRCC. Three of the six (50%) ccRCC control cases showed expected VHL mutations; two (33%) harbored pathogenic mutations in the p53 or the CKIT genes; and one (16%) was wild type. Conclusion: We can assume that histology and ICH are not sufficient for a definitive diagnosis of cctpRCC or ccRCC. Although with a panel covering 50 genes, we found that 80% of cctpRCC were genetically silent; thus, suggesting an indolent biology of these tumors. The differential diagnosis between ccptRCC and ccRCC for the choice of the best therapeutic strategy likely requires the comprehensive evaluation of histology, IHC, and at least VHL mutations.

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