AIMC Topic: Adrenal Gland Neoplasms

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Artificial Intelligence in Minimally Invasive Adrenalectomy: Using Deep Learning to Identify the Left Adrenal Vein.

Surgical laparoscopy, endoscopy & percutaneous techniques
BACKGROUND: Minimally invasive adrenalectomy is the main surgical treatment option for the resection of adrenal masses. Recognition and ligation of adrenal veins are critical parts of adrenal surgery. The utilization of artificial intelligence and de...

Deep learning approach for differentiating indeterminate adrenal masses using CT imaging.

Abdominal radiology (New York)
PURPOSE: Distinguishing stage 1-2 adrenocortical carcinoma (ACC) and large, lipid poor adrenal adenoma (LPAA) via imaging is challenging due to overlapping imaging characteristics. This study investigated the ability of deep learning to distinguish A...

Robot-assisted adrenalectomy using a hinotori surgical robot system: Report of first series of six cases.

Asian journal of endoscopic surgery
AIM: The hinotori surgical robot system, a newly launched platform, has already been utilized in several urological robotic surgeries; however, limited information is available in terms of its feasibility and safety in each type of surgery. The objec...

Rapid and precise detection of cancers via label-free SERS and deep learning.

Analytical and bioanalytical chemistry
Early, express, and reliable detection of cancer can provide a favorable prognosis and decrease mortality. Tumor biomarkers have been proven to be closely related to tumor occurrence and development. Conventional tumor biomarker detection based on ge...

Oncocytic adrenocortical neoplasm of borderline uncertain malignant potential diagnosed after robot-assisted adrenalectomy case report.

BMC urology
BACKGROUND: Adrenal incidentalomas are radiologically discovered tumors that represent a variety of pathologies, with the diagnosis clinched only on surgical pathology. These tumors may be clinically monitored, but triggers for surgery include size >...

Fully automatic volume measurement of the adrenal gland on CT using deep learning to classify adrenal hyperplasia.

European radiology
OBJECTIVES: To develop a fully automated deep learning model for adrenal segmentation and to evaluate its performance in classifying adrenal hyperplasia.

Comparative Analysis of Laparoscopic and Robotic Transperitoneal Adrenalectomy Performed at a Single Institution.

Medicina (Kaunas, Lithuania)
Background and Objectives: Laparoscopic adrenalectomy (LA) is the standard surgical approach for adrenalectomy. At present, robotic adrenalectomy (RA) has been introduced at various hospitals. This study evaluated our initial experience with robotic ...

The new robotic platform Hugo™ RAS for lateral transabdominal adrenalectomy: a first world report of a series of five cases.

Updates in surgery
Robotic assisted surgery is the most rapidly developing field of minimally invasive surgery. Its wide diffusion has led to the development and standardization of robotic-assisted approaches also for adrenalectomy. In this study, we present the first ...

Robot-assisted vs laparoscopic lateral transabdominal adrenalectomy: a propensity score matching analysis.

Surgical endoscopy
BACKGROUND: Laparoscopic adrenalectomy (LA) is the gold standard treatment for adrenal lesions. Robot-assisted adrenalectomy (RAA) is a safe approach, associated with higher costs in absence of clear-cut benefits. Several series reported some advanta...