AIMC Topic: Carcinoma, Renal Cell

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Machine Learning-Based Pathomics Model to Predict the Prognosis in Clear Cell Renal Cell Carcinoma.

Technology in cancer research & treatment
Clear cell renal cell carcinoma (ccRCC) is a highly lethal urinary malignancy with poor overall survival (OS) rates. Integrating computer vision and machine learning in pathomics analysis offers potential for enhancing classification, prognosis, and ...

Spatially aware deep learning reveals tumor heterogeneity patterns that encode distinct kidney cancer states.

Cell reports. Medicine
Clear cell renal cell carcinoma (ccRCC) is molecularly heterogeneous, immune infiltrated, and selectively sensitive to immune checkpoint inhibition (ICI). However, the joint tumor-immune states that mediate ICI response remain elusive. We develop spa...

[Robot-assisted left-side partial nephrectomy with a segmental resection of left lower ureter and Boari reconstruction].

Urologiia (Moscow, Russia : 1999)
Renal cell carcinoma (RCC) accounts for more than 90% of cases of malignant kidney tumors and represents 2-3% of all malignancies worldwide. Clear cell renal cell carcinoma (ccRCC), the most common type of RCC, comprising 70-80% of cases. RCC most co...

Robot-assisted partial nephrectomy for large complex renal cancer: step-by-step segmental artery unclamping.

International braz j urol : official journal of the Brazilian Society of Urology
INTRODUCTION: Main renal artery clamping and selective arterial clamping are two conventional devascularization methods for robot-assisted partial nephrectomy (RAPN) (1, 2). Decreasing warm ischemic (WI) time (3, 4) and improving clear surgical visua...

Prediction of pathological staging and grading of renal clear cell carcinoma based on deep learning algorithms.

The Journal of international medical research
OBJECTIVE: Deep learning algorithms were used to develop a model for predicting the staging and grading of renal clear cell carcinoma to inform clinicians' treatment plans.

Intratumoral Resolution of Driver Gene Mutation Heterogeneity in Renal Cancer Using Deep Learning.

Cancer research
UNLABELLED: Intratumoral heterogeneity arising from tumor evolution poses significant challenges biologically and clinically. Dissecting this complexity may benefit from deep learning (DL) algorithms, which can infer molecular features from ubiquitou...

[Two Cases of Unilateral Multifocal Renal Cell Carcinoma Treated with Robot-Assisted Partial Nephrectomy].

Hinyokika kiyo. Acta urologica Japonica
Recently, robot-assisted laparoscopic partial nephrectomy (RAPN) has become a commonly performed surgical treatment for small renal tumors, but for difficult cases, such as those presenting with multiple tumors, there are few institutions with experi...

Preservation of Split Renal Function After Laparoscopic and Robot-assisted Partial Nephrectomy.

Anticancer research
BACKGROUND/AIM: To analyze the effects of laparoscopic partial nephrectomy (LPN) and robot-assisted partial nephrectomy (RAPN) for the treatment of renal cell carcinoma (RCC) on subsequent split renal function using renal scintigraphy.

Deep Learning Algorithm for Fully Automated Detection of Small (≤4 cm) Renal Cell Carcinoma in Contrast-Enhanced Computed Tomography Using a Multicenter Database.

Investigative radiology
OBJECTIVES: Renal cell carcinoma (RCC) is often found incidentally in asymptomatic individuals undergoing abdominal computed tomography (CT) examinations. The purpose of our study is to develop a deep learning-based algorithm for fully automated dete...

Comparison of Perioperative Outcomes for Radical Nephrectomy Based on Surgical Approach for Masses Greater Than 10 cm.

Journal of endourology
Robot-assisted radical nephrectomy (RRN) is increasingly utilized as an alternative to laparoscopic radical nephrectomy (LRN), but there are concerns over costs and objective benefit. In the setting of very large renal masses (>10 cm), comparison be...