AIMC Topic: Kidney Neoplasms

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Cone-Beam CT-Guided Transarterial Tagging of Endophytic Renal Tumors with Indocyanine Green for Robot-Assisted Partial Nephrectomy.

Journal of vascular and interventional radiology : JVIR
PURPOSE: To evaluate the safety, efficacy, and clinical impact of preoperative cone-beam computed tomography (CT)-guided selective embolization of endophytic renal tumors with the fluorescent dye indocyanine green (ICG) and ethiodized oil in patients...

Effect of Papaverine on Renal Artery Blood Flow during Robot-Assisted Partial Nephrectomy: A Randomized Controlled Study.

Annals of surgical oncology
BACKGROUND: During robot-assisted partial nephrectomy (RAPN), renal artery clamping is necessary to optimize the surgical field. However, renal artery clamping can induce renal blood flow reduction and postoperative renal dysfunction. Papaverine is u...

The Impact of Postoperative Renal Function Recovery after Laparoscopic and Robot-Assisted Partial Nephrectomy in Patients with Renal Cell Carcinoma.

Medicina (Kaunas, Lithuania)
Background and objectives: This study aimed to evaluate the association between warm ischemic time (WIT) and postoperative renal function using Trifecta achievement in patients with renal cell carcinoma (RCC) who underwent robotic (RAPN) or laparosco...

Concurrent robot-assisted radical prostatectomy and robot-assisted partial nephrectomy for patients with synchronous prostate cancer and small renal tumor: A case series of five patients.

Asian journal of endoscopic surgery
Robotic surgery has become widely used in the field of urology. We experienced concurrent robot-assisted radical prostatectomy (RARP) and robot-assisted partial nephrectomy (RAPN) for the complex cases of synchronous primary cancers. Concurrent RARP ...

Roughness of the renal tumor surface could predict the surgical difficulty of robot-assisted partial nephrectomy.

Asian journal of endoscopic surgery
INTRODUCTION: Preoperative prediction of surgical difficulty of partial nephrectomy (PN) is essential to minimize the perioperative complications and to achieve a good surgical outcome. Recently, various scoring systems have been used to evaluate the...

Validation of a deep learning segmentation algorithm to quantify the skeletal muscle index and sarcopenia in metastatic renal carcinoma.

European radiology
OBJECTIVES: To validate a deep learning (DL) algorithm for measurement of skeletal muscular index (SMI) and prediction of overall survival in oncology populations.

Improving segmentation and classification of renal tumors in small sample 3D CT images using transfer learning with convolutional neural networks.

International journal of computer assisted radiology and surgery
PURPOSE: Computed tomography (CT) images can display internal organs of patients and are particularly suitable for preoperative surgical diagnoses. The increasing demands for computer-aided systems in recent years have facilitated the development of ...