AIMC Topic: Lymph Nodes

Clear Filters Showing 141 to 150 of 374 articles

Robot-Assisted Laparoscopic Prostatectomy Experience and Pathological Quality: Are They Always Linked?

Journal of endourology
We investigated whether pathological outcomes improved with experience and surgeon generation after robot-assisted laparoscopic prostatectomy (RALP). The study included 1338 patients who underwent RALP between February 2010 and April 2020. We creat...

Efficacy of robot-assisted vs. laparoscopy surgery in the treatment of colorectal cancer: A systematic review and meta-analysis.

Clinics and research in hepatology and gastroenterology
PURPOSE: To compare the efficacy of robot-assisted colorectal surgery (RACS) vs. laparoscopic-assisted colorectal surgery (LACS) in the treatment of colorectal cancer (CRC).

A novel approach to quantify calcifications of thyroid nodules in US images based on deep learning: predicting the risk of cervical lymph node metastasis in papillary thyroid cancer patients.

European radiology
OBJECTIVE: Based on ultrasound (US) images, this study aimed to detect and quantify calcifications of thyroid nodules, which are regarded as one of the most important features in US diagnosis of thyroid cancer, and to further investigate the value of...

Clinical Outcomes of Pelvic Lymph Node Dissection Before Versus After Robot-Assisted Laparoscopic Radical Cystectomy.

Journal of laparoendoscopic & advanced surgical techniques. Part A
The purpose of this study was to compare the clinical outcomes of bladder cancer patients treated with extended pelvic lymph node dissection (ePLND) before or after cystectomy under robotic-assisted radical cystectomy (RARC). A retrospective study ...

Multiscale deep learning framework captures systemic immune features in lymph nodes predictive of triple negative breast cancer outcome in large-scale studies.

The Journal of pathology
The suggestion that the systemic immune response in lymph nodes (LNs) conveys prognostic value for triple-negative breast cancer (TNBC) patients has not previously been investigated in large cohorts. We used a deep learning (DL) framework to quantify...

Artificial intelligence-based prediction of cervical lymph node metastasis in papillary thyroid cancer with CT.

European radiology
OBJECTIVES: To develop an artificial intelligence (AI) system for predicting cervical lymph node metastasis (CLNM) preoperatively in patients with papillary thyroid cancer (PTC) based on CT images.

Emerging uses of artificial intelligence in breast and axillary ultrasound.

Clinical imaging
Breast ultrasound is a valuable adjunctive tool to mammography in detecting breast cancer, especially in women with dense breasts. Ultrasound also plays an important role in staging breast cancer by assessing axillary lymph nodes. However, its utilit...

Deep learning-based pathology signature could reveal lymph node status and act as a novel prognostic marker across multiple cancer types.

British journal of cancer
BACKGROUND: Identifying lymph node metastasis (LNM) relies mainly on indirect radiology. Current studies omitted the quantified associations with traits beyond cancer types, failing to provide generalisation performance across various tumour types.