AIMC Topic: Lymph Nodes
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LN-Net: Perfusion Pattern-Guided Deep Learning for Lymph Node Metastasis Diagnosis Based on Contrast-Enhanced Ultrasound Videos.
Ultrasound in medicine & biology
Feb 16, 2023
OBJECTIVE: The blood flow in lymph nodes reflects important pathological features. However, most intelligent diagnosis based on contrast-enhanced ultrasound (CEUS) video focuses only on CEUS images, ignoring the process of extracting blood flow infor...
Deep learning-based multifeature integration robustly predicts central lymph node metastasis in papillary thyroid cancer.
BMC cancer
Feb 8, 2023
BACKGROUND: Few highly accurate tests can diagnose central lymph node metastasis (CLNM) of papillary thyroid cancer (PTC). Genetic sequencing of tumor tissue has allowed the targeting of certain genetic variants for personalized cancer therapy develo...
Computer-Assisted Diagnosis of Lymph Node Metastases in Colorectal Cancers Using Transfer Learning With an Ensemble Model.
Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
Feb 2, 2023
Screening of lymph node metastases in colorectal cancer (CRC) can be a cumbersome task, but it is amenable to artificial intelligence (AI)-assisted diagnostic solution. Here, we propose a deep learning-based workflow for the evaluation of CRC lymph n...
Safety and Feasibility of Robot-Assisted Minimally Invasive Esophagectomy (RAMIE) with Three-Field Lymphadenectomy and Neoadjuvant Chemoradiotherapy in Patients with Resectable Esophageal Cancer and Cervical Lymph Node Metastasis.
Annals of surgical oncology
Jan 27, 2023
BACKGROUND: In the West, patients with cervical lymph node metastasis of resectable esophageal cancer at diagnosis are generally precluded from curative treatment. This study prospectively explored the safety and feasibility of neoadjuvant chemoradio...
How to do robotic Ivor Lewis esophagectomy for lower third oesophageal cancer.
ANZ journal of surgery
Jan 11, 2023
Transthoracic subtotal esophagectomy with two-field lymph node (mediastinal and abdominal) and monobloc posterior mediastinectomy is called Ivor Lewis esophagectomy. This intervention requires an abdominal and thoracic time that is carried out here e...
Deep learning assisted contrast-enhanced CT-based diagnosis of cervical lymph node metastasis of oral cancer: a retrospective study of 1466 cases.
European radiology
Dec 28, 2022
OBJECTIVES: Lymph node (LN) metastasis is a common cause of recurrence in oral cancer; however, the accuracy of distinguishing positive and negative LNs is not ideal. Here, we aimed to develop a deep learning model that can identify, locate, and dist...
RESOLVE-DWI-based deep learning nomogram for prediction of normal-sized lymph node metastasis in cervical cancer: a preliminary study.
BMC medical imaging
Dec 17, 2022
BACKGROUND: It is difficult to predict normal-sized lymph node metastasis (LNM) in cervical cancer clinically. We aimed to investigate the feasibility of using deep learning (DL) nomogram based on readout segmentation of long variable echo-trains dif...
Further predictive value of lymphovascular invasion explored via supervised deep learning for lymph node metastases in breast cancer.
Human pathology
Dec 5, 2022
Lymphovascular invasion, specifically lymph-blood vessel invasion (LBVI), is a risk factor for metastases in breast invasive ductal carcinoma (IDC) and is routinely screened using hematoxylin-eosin histopathological images. However, routine reports o...
Diagnosis of Metastatic Lymph Nodes in Patients With Papillary Thyroid Cancer: A Comparative Multi-Center Study of Semantic Features and Deep Learning-Based Models.
Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
Nov 27, 2022
OBJECTIVES: Deep learning algorithms have shown potential in streamlining difficult clinical decisions. In the present study, we report the diagnostic profile of a deep learning model in differentiating malignant and benign lymph nodes in patients wi...
Preoperative prediction of lymph node status in patients with colorectal cancer. Developing a predictive model using machine learning.
International journal of colorectal disease
Nov 26, 2022
PURPOSE: Develop a prediction model to determine the probability of no lymph node metastasis (pN0) in patients with colorectal cancer.
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