Tumor grade of clear cell renal cell carcinoma assessed by contrast-enhanced computed tomography

Ishigami, Kousei; Leite, Leandro V.; Pakalniskis, Marius G.; Lee, Daniel K.; Holanda, Danniele G.; Kuehn, David M.

doi:10.1186/2193-1801-3-694

Cited by 21 publications

(15 citation statements)

References 27 publications

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“…Tumor grade is an important prognosticator in ccRCC, which is often associated with higher-stage and larger tumors ( Ishigami et al, 2014 ). Multivariate analysis integrating clinical features and CPTAC “omics” data found that numerous genes within each data type were associated with immune and stromal scores and with tumor grade (Benjamini-Hochberg adjusted p < 0.10; Figure S7A ).…”

Section: Resultsmentioning

confidence: 99%

Integrated Proteogenomic Characterization of Clear Cell Renal Cell Carcinoma

Clark

Dhanasekaran

Petralia

et al. 2019

Cell

484

415

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Section: Resultsmentioning

confidence: 99%

Integrated Proteogenomic Characterization of Clear Cell Renal Cell Carcinoma

Clark

Dhanasekaran

Petralia

et al. 2019

Cell

484

415

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“…Of the resected Bosniak III and IV cysts, 89.5% and 69.2% were of low ISUP grade, respectively. These findings correlate with a low grade of renal cell carcinomas in the literature irrespective of Bosniak category [13,14]. Given the relatively indolent nature of the malignant cysts, survival analysis studies with long-term follow-up would be useful to identify patient sub-groups who would benefit from surgical intervention or surveillance management, particularly in the Bosniak III and IV groups.…”

Section: Study Findings In Relation To Relevant Literaturementioning

confidence: 63%

“…The malignancy risk of resected Bosniak III cysts is highly variable in the literature and is reported to be between 33 and 84%; thus, benign cysts are frequently resected unnecessarily [8,[10][11][12]. When classified as malignant by histopathology, Bosniak III cysts are frequently low ISUP grade and stage [7,13,14]. Although resection of Bosniak III cysts is advised for most patients, additional research, in particular with longer follow-up, is required to establish the rate of benign cyst resection and the frequency of low-grade/stage tumours in order to improve surgical decision-making.…”

Section: Consequently the Risk Of Cyst Misclassification Andmentioning

confidence: 99%

Complex renal cysts (Bosniak ≥IIF): interobserver agreement, progression and malignancy rates

et al. 2020

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Objective The objective was to assess the interobserver agreement rate, progression rates and malignancy rates in the assessment of complex renal cysts (≥ Bosniak IIF) using a population-based database. Methods A regional database identified 452 complex renal cysts in 415 patients between 2009 and 2019. Each patient was tracked and followed up using a unique identifier and deterministic linkage methodology. The interobserver agreement rate between radiologists was calculated using a weighted kappa statistic. Progression and malignancy rates of cysts (Bosniak ≥IIF) over the 11-year period were calculated. Results The linear-weighted kappa value was 0.69 for all complex cysts. The rate of progression and regression of Bosniak IIF cysts was 4.6% (7/151) and 3.3% (5/151), respectively. All malignant IIF cysts progressed within 16 months of diagnosis. The malignancy rate of surgically resected Bosniak III and IV cysts was 79.3% (23/29) and 84.5% (39/46), respectively. Of all malignant tumours, 73.8% and 93.7% were of low ISUP grade and low stage, respectively. Conclusions This study further confirms that there is a good degree of agreement between radiologists in classifying complex renal masses using the Bosniak classification. The progression rate of Bosniak IIF cysts is low, but the malignancy rates of surgically resected Bosniak IIF, III and IV cysts are high. Benign cysts are frequently resected, and a very high proportion of histopathologically confirmed cancers in complex renal cysts are of low grade and stage. Key Points • There is a good degree of agreement between radiologists in classifying complex renal masses using the Bosniak classification. • The rate of progression of Bosniak IIF cysts is low, and malignant cysts progress early during surveillance. Although the malignancy rates of resected Bosniak IIF, III and IV cysts are high, the rate of benign cyst resection is significant.

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“…For this purpose, two approaches are attractive for researchers at present. One is the Apparent diffusion coefficient (ADC) value in MRI imaging (14), and the other is CT-based semiquantitative and quantitative techniques (15,16).…”

Section: Introductionmentioning

confidence: 99%

Noninvasive Fuhrman grading of clear cell renal cell carcinoma using computed tomography radiomic features and machine learning

et al. 2020

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To identify optimal classification methods for computed tomography (CT) radiomicsbased preoperative prediction of clear cells renal cell carcinoma (ccRCC) grade.Methods and material: Seventy-one ccRCC patients (31 low-grade and 40 high-grade) were included in the study. All tumors were segmented manually on CT images, and three image preprocessing techniques (Laplacian of Gaussian, wavelet filter, and discretization of the intensity values) were applied on tumor volumes. In total, 2530 radiomics features (tumor shape and size, intensity statistics, and texture) were extracted from each segmented tumor volume. Univariate analysis was performed to assess the association of each feature with the histological condition. In the case of multivariate analysis, the following was implemented: three feature selection including the least absolute shrinkage and selection operator (LASSO), student's t-test and minimum Redundancy Maximum Relevance (mRMR) algorithms. These selected features were then used to construct three classification models (SVM, random forest, and logistic regression) to discriminate the high from low-grade ccRCC at nephrectomy. Lastly, multivariate model performance was evaluated on the bootstrapped validation cohort using the area under receiver operating characteristic curve (AUC).Results: Univariate analysis demonstrated that among different image sets, 128 bin discretized images have statistically significant different (q-value < 0.05) texture parameters with a mean of AUC 0.74±3 (q-value < 0.05). The three ML-based classifier shows proficient discrimination of the high from low-grade ccRCC. The AUC was 0.78 in logistic regression, 0.62 in random forest, and 0.83 in SVM model, respectively. Conclusion:Radiomics features can be a useful and promising non-invasive method for preoperative evaluation of ccRCC Fuhrman grades.

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Tumor grade of clear cell renal cell carcinoma assessed by contrast-enhanced computed tomography

Cited by 21 publications

References 27 publications

Integrated Proteogenomic Characterization of Clear Cell Renal Cell Carcinoma

Integrated Proteogenomic Characterization of Clear Cell Renal Cell Carcinoma

Complex renal cysts (Bosniak ≥IIF): interobserver agreement, progression and malignancy rates

Noninvasive Fuhrman grading of clear cell renal cell carcinoma using computed tomography radiomic features and machine learning

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