scholarly journals Role of computed tomography features in the differential diagnosis of chromophobe renal cell carcinoma from oncocytoma and angiomyolipoma without visible fat

2021 ◽  
Vol 0 (0) ◽  
pp. 0-0
Author(s):  
Cuiping Zhou ◽  
Xiaohua Ban ◽  
Jianxun Lv ◽  
Lin Cheng ◽  
Jianmin Xu ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Renal Cell Carcinoma ◽  
Differential Diagnosis ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Chromophobe Renal Cell Carcinoma

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.

Immunohistochemical Analysis of Chromophobe Renal Cell Carcinoma, Renal Oncocytoma, and Clear Cell Carcinoma: An Optimal and Practical Panel for Differential Diagnosis

2007 ◽  
Vol 131 (8) ◽  
pp. 1290-1297 ◽  
Author(s):  
Lina Liu ◽  
Junqi Qian ◽  
Harpreet Singh ◽  
Isabelle Meiers ◽  
Xiaoge Zhou ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Differential Diagnosis ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Clear Cell ◽  
Clear Cell Carcinoma ◽  
Single Cells ◽  
Chromophobe Renal Cell Carcinoma ◽  
Renal Oncocytoma ◽  
Cell Renal Cell Carcinoma

Abstract Context.—The separation of chromophobe renal cell carcinoma, oncocytoma, and clear cell renal cell carcinoma using light microscopy remains problematic in some cases. Objective.—To determine a practical immunohistochemical panel for the differential diagnosis of chromophobe carcinoma. Design.—Vimentin, glutathione S-transferase α (GST-α), CD10, CD117, cytokeratin (CK) 7, and epithelial cell adhesion molecule (EpCAM) were investigated in 22 cases of chromophobe carcinoma, 17 cases of oncocytoma, and 45 cases of clear cell carcinoma. Results.—Vimentin and GST-α expression were exclusively observed in clear cell carcinoma. CD10 staining was more frequently detected in clear cell carcinoma (91%) than in chromophobe carcinoma (45%) and oncocytoma (29%). CD117 was strongly expressed in chromophobe carcinoma (82%) and oncocytoma (100%), whereas none of the cases of clear cell carcinomas were immunoreactive. Cytokeratin 7 was positive in 18 (86%) of 22 cases of chromophobe carcinoma, whereas all oncocytomas were negative for CK7. EpCAM protein was expressed in all 22 cases of chromophobe carcinoma in more than 90% of cells, whereas all EpCAM-positive oncocytomas (5/17; 29%) displayed positivity in single cells or small cell clusters. Conclusions.—Using the combination of 3 markers (vimentin, GST-α, and EpCAM), we achieved 100% sensitivity and 100% specificity for the differential diagnosis of chromophobe carcinoma, oncocytoma, and clear cell carcinoma. The pattern of “vimentin−/GST-α−” effectively excluded clear cell carcinoma, and homogeneous EpCAM expression confirmed the diagnosis of chromophobe carcinoma rather than oncocytoma. CD117 and CK7 were also useful markers and could be used as second-line markers for the differential diagnosis, with high specificity (100%) and high sensitivity (90% and 86%, respectively).

Automated differentiation of benign renal oncocytoma and chromophobe renal cell carcinoma on computed tomography using deep learning

2020 ◽  
Vol 125 (4) ◽  
pp. 553-560 ◽  
Author(s):  
Amir Baghdadi ◽  
Naif A. Aldhaam ◽  
Ahmed S. Elsayed ◽  
Ahmed A. Hussein ◽  
Lora A. Cavuoto ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Renal Cell Carcinoma ◽  
Deep Learning ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Chromophobe Renal Cell Carcinoma ◽  
Renal Oncocytoma

scholarly journals Tremendous non-progressed chromophobe renal cell carcinoma for eight years performed by laparoscope

2016 ◽  
Vol 10 (11-12) ◽  
pp. 404
Author(s):  
Yanbo Wang ◽  
Xiaobo Ding ◽  
Xiaobo Ma ◽  
Lingbo Yang ◽  
Faping Li ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Histopathological Examination ◽  
Malignant Tumour ◽  
Chromophobe Renal Cell Carcinoma ◽  
Prognostic Role ◽  
The Right

The prognostic role of chromophobe renal cell carcinoma (ChRCC) is still controversial. Here, we report on a patient who lived with tremendous non-progressed renal malignant tumour for eight years. The 32-year-old patient presented to our hospital with a huge renal tumour. Computed tomography (CT) scan showed a tumour 12 cm in diameter at the upper pole of the right kidney. Trans-abdominal laparoscopic right radical nephrectomy was performed. Histopathological examination confirmed this tumour to be a ChRCC. The phenomenon of long-term non-progressed renal malignant tumour will help us further understand the characteristics of ChRCC.

Sign in / Sign up

Export Citation Format

Share Document