Detailed study of survival of patients with renal cell carcinoma in India

Abstract

This study has demonstrated the importance of factors such as tumor size, nuclear grade, and stage in the assessment of prognosis of RCC patients. More studies in India with more patients are needed to demonstrate the importance of these prognostic factors.

Diagnosis of Kidney Renal Cell Tumor through Clinical data mining and CT scan image processing: A Survey

“…Overall, 10% of the global population has kidney functioning problems. According to the National Institute of Diabetes and Digestive Kidney Diseases (NIDDK) (Abraham et al, 2016), as shown in Figure 1 in India, 7% of peoples are suffering from various kidney diseases. Figure 1 shows the different percentage of kidney diseases suffering people country-wise (Bhalla et al, 2017).…”

“…Kidney Renal Cell Carcinoma (KRCC) is the most common kidney tumor, accounting for 2 to 3% of all new cases in India (Abraham et al, 2016). From country to country, the KRCC case varies, but the extreme western parts of the world affected are more.…”

“…From country to country, the KRCC case varies, but the extreme western parts of the world affected are more. Recent Surveillance, Epidemiology, and End Results (SEER) data show that 1 in 5 adults with different ages is a Kidney Cancer survivor (Abraham et al, 2016). To assist the pathologist in KRCC tumor diagnosis, proper classi ication with stage identi ication is necessary.…”

“…The kidney cancer (KRCC) stage can be classi ied based on the physical exam, imaging tests, and clinical database. Predicting the right stage of KRCC helps doctors diagnose disease (Abraham et al, 2016). With medical advances, Kidney Renal Cell Carcinoma (KRCC) tumor can be detected at an early stage and can be diagnosed.…”

“…However, very few researchers are going on multiple types like genomic data, clinical database, and kidney organ biological data. Many researchers have investigated the classi ication of KRCC cancer using one modality, i.e., either clinical database or imaging modalities (Abraham et al, 2016;Bhalla et al, 2017;Choi et al, 2012). In this study, we are investigating the learning models on two types of data: clinical database and imaging technique to classify the KRCC patient.…”