AIMC Topic: Lymphatic Metastasis
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Development and Validation of a Radiomics Model Based on 3-Dimensional Endoanal Rectal Ultrasound of Rectal Cancer for Predicting Lymph Node Metastasis.
The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology
May 1, 2023
BACKGROUND: Development of a radiomics model for predicting lymph node metastasis status in rectal cancer patients based on 3-dimensional endoanal rectal ultrasound images.
Use of artificial intelligence to enhance detection of nodal metastases.
The Lancet. Oncology
Apr 1, 2023
Prediction of Axillary Lymph Node Metastatic Load of Breast Cancer Based on Ultrasound Deep Learning Radiomics Nomogram.
Technology in cancer research & treatment
Jan 1, 2023
Axillary lymph node (ALN) metastatic load is very important in the diagnosis and treatment of breast cancer (BC). We aimed to construct a model for predicting ALN metastatic load using deep learning radiomics (DLR) techniques based on the preoperati...
Deep Learning for Predicting Distant Metastasis in Patients with Nasopharyngeal Carcinoma Based on Pre-Radiotherapy Magnetic Resonance Imaging.
Combinatorial chemistry & high throughput screening
Jan 1, 2023
IMPORTANCE: Accurate pre-treatment prediction of distant metastasis in patients with Nasopharyngeal Carcinoma (NPC) enables the implementation of appropriate treatment strategies for high-risk individuals.
Development of a deep learning-based nomogram for predicting lymph node metastasis in cervical cancer: A multicenter study.
Clinical and translational medicine
Jul 1, 2022
[A Thyroid Ultrasound Image-based Artificial Intelligence Model for Diagnosis of Central Compartment Lymph Node Metastasis in Papillary Thyroid Carcinoma].
Zhongguo yi xue ke xue yuan xue bao. Acta Academiae Medicinae Sinicae
Dec 30, 2021
Objective To establish an artificial intelligence model based on B-mode thyroid ultrasound images to predict central compartment lymph node metastasis(CLNM)in patients with papillary thyroid carcinoma(PTC). Methods We retrieved the clinical manifesta...
A novel classification method of lymph node metastasis in colorectal cancer.
Bioengineered
Dec 1, 2021
Colorectal cancer lymph node metastasis, which is highly associated with the patient's cancer recurrence and survival rate, has been the focus of many therapeutic strategies that are highly associated with the patient's cancer recurrence and survival...
New approach of prediction of recurrence in thyroid cancer patients using machine learning.
Medicine
Oct 22, 2021
Although papillary thyroid cancers are known to have a relatively low risk of recurrence, several factors are associated with a higher risk of recurrence, such as extrathyroidal extension, nodal metastasis, and BRAF gene mutation. However, predicting...
Iodine Radioisotopes
Algorithms
Sex Factors
Prognosis
Tumor Burden
Female
Adult
Humans
Thyroglobulin
Reproducibility of Results
Male
Machine Learning
Aged
Lymphatic Metastasis
Middle Aged
Thyroid Cancer, Papillary
Thyroidectomy
Young Adult
Age Factors
Thyroid Neoplasms
Proto-Oncogene Proteins B-raf
Neoplasm Recurrence, Local
Body Mass Index
Deep Learning for Clinical Image Analyses in Oral Squamous Cell Carcinoma: A Review.
JAMA otolaryngology-- head & neck surgery
Oct 1, 2021
IMPORTANCE: Oral squamous cell carcinoma (SCC) is a lethal malignant neoplasm with a high rate of tumor metastasis and recurrence. Accurate diagnosis, prognosis prediction, and metastasis detection can improve patient outcomes. Deep learning for clin...
Deep learning analysis of the primary tumour and the prediction of lymph node metastases in gastric cancer.
The British journal of surgery
May 27, 2021
BACKGROUND: Lymph node metastasis (LNM) in gastric cancer is a prognostic factor and has implications for the extent of lymph node dissection. The lymphatic drainage of the stomach involves multiple nodal stations with different risks of metastases. ...
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