Recurrence prediction in clear cell renal cell carcinoma using machine learning of quantitative nuclear features.

The recurrence of non-metastatic renal cell carcinoma (RCC) may occur early or late after surgery. This study aimed to develop a recurrence prediction machine learning model based on quantitative nuclear morphologic features of clear cell RCC (ccRCC). We investigated 131 ccRCC patients who underwent nephrectomy (T1-3N0M0).

Prediction of non-muscle invasive bladder cancer recurrence using machine learning of quantitative nuclear features.

Non-muscle invasive bladder cancer (NMIBC) generally has a good prognosis; however, recurrence after transurethral resection (TUR), the standard primary treatment, is a major problem. Clinical management after TUR has been based on risk classification using clinicopathological factors, but these classifications are not complete. In this study, we attempted to predict early recurrence of NMIBC based on machine learning of quantitative morphological features.

Distinct effect of body mass index by sex as a prognostic factor in localized renal cell carcinoma treated with nephrectomy ~ data from a multi-institutional study in Japan ~.

Background: We assessed the prognostic value of body mass index (BMI) in Asian patients with localized RCC who underwent nephrectomy.

Methods: A total of 665 patients who underwent nephrectomy for localized RCC were enrolled in the present study and divided into the two BMI groups: i.e.

Adjuvant chemotherapy improves overall survival in patients with localized upper tract urothelial carcinoma harboring pathologic vascular invasion: a propensity score-matched analysis of multi-institutional cohort.

Objective: Whether adjuvant chemotherapy (AC) for patients with upper tract urothelial carcinoma (UTUC) offers survival benefit is still controversial. To explore the impact of AC on overall survival (OS) of cN0M0 UTUC patients, we conducted a propensity score-matched analysis using the regression model, including pathologic features such as lymphatic and vascular invasion.

Methods: A multi-institutional cohort of 413 UTUC patient record was used.

The CANLPH Score, an Integrative Model of Systemic Inflammation and Nutrition Status (SINS), Predicts Clinical Outcomes After Surgery in Renal Cell Carcinoma: Data From a Multicenter Cohort in Japan.

Background: A myriad of studies have demonstrated the clinical association of systemic inflammatory and nutrition status (SINS) including C-reactive protein/albumin ratio (CAR), the neutrophil/lymphocyte ratio (NLR), and the platelet/hemoglobin ratio (PHR). This study aimed to investigate the predictive value of the score integrating these variables (CANLPH) in patients with renal cell carcinoma (RCC).

Methods: Using cohort data from a multi-institutional study, 757 of 1109 patients were retrospectively analyzed.

C-reactive protein-albumin ratio as a prognostic factor in renal cell carcinoma - A data from multi-institutional study in Japan.

Introduction: The C-reactive protein to albumin ratio (CAR) has been shown to provide prognostic information in several cancers. The objective in the study is to examine the prognostic value of CAR in patients with RCC who underwent nephrectomy.

Material And Methods: The record data from multi-institutional study of 1,028 patients was analyzed in the study.

Correlation between number of renal cysts and aortic circumferences measured using autopsy material.

Although the presence of renal cysts has been reported to be associated with aortic aneurysm or dissection by imaging studies, an autopsy study has not been performed. Therefore, in our institute, recent consecutive adult autopsy cases (n=108, 64 males and 44 females) were reviewed. The circumferences and atherosclerosis ratios of both thoracic and abdominal aorta were individually measured and graded.