An Online System for Predicting Lateral Lymph Node Metastasis in Clinically Lymph Node Negative Papillary Thyroid Carcinoma

Based on machine learing algorithms
重庆医科大学附属第一医院乳腺甲状腺外科.
Department of Thyroid and Breast Surgery, the First Affiliated Hospital of Chongqing Medical University.

This website sought to develop and validate model for predicting the risk of Ipsilateral Lateral lymph node metastasis,Level II lymph node metastasis,Level III lymph node metastasis,Level IV lymph node metastasis in clinically lymph node negative PTC's using random forest machine learning based model algorithms.Only input the patient's preoperative and intraoperative clinicopathological characteristics as the following to predict the likelihood of Lateral lymph node metastasis.

The Random Forest machine learning model used intraoperatively predicts ipsilateral lateral lymph node metastasis

Note:"Age": Select based on the age at diagnosis."Tumor border": Indicate whether the thyroid capsule is involved (preoperative ultrasound)."Calcification": Specify the presence of microcalcifications (preoperative ultrasound)."Tumor internal vascularization": Indicate internal blood flow signals in the tumor (preoperative ultrasound)."Size": Input based on the intraoperative pathological tumor measurement."Extrathyroidal extension": Indicate if extrathyroidal invasion is present (intraoperative pathology).For central lymph node metastasis (intraoperative frozen pathology report), input both the number and proportion. Enter the proportion as a decimal between 0 and 1, and the number as the count of metastatic lymph nodes.

Age
Tumor border
Calcification
Tumor internal vascularization
Size
Extrathyroidal extension
Ipsilateral Central Lymph Node Metastasis
Ipsilateral Central Lymph Node Metastasis Rate
Ipsilateral Central Lymph Node Metastases Number
Paratracheal Lymph Node Metastasis Rate
Output
 Calculate
Prediction Bar

The Random Forest machine learning model used intraoperatively predicts Level II Lymph Node Metastasis

Note:"Age": Please select based on the age at diagnosis."Tumor Peripheral blood flow": Indicate the presence of peripheral blood flow signals around the tumor (preoperative ultrasound)."Size": Input the tumor size based on the intraoperative pathological measurement."Location": Select whether the tumor is located in the upper part."Extrathyroidal extension": Indicate if extrathyroidal invasion is present (intraoperative pathology).For central lymph node metastasis (intraoperative frozen pathology report), please input both the number and proportion. Enter the proportion as a decimal between 0 and 1, and the number as the count of metastatic lymph nodes.

Age
Tumor Peripheral blood flow
Size
Location
Extrathyroidal extension
Ipsilateral Central Lymph Node Metastasis Rate
Prelaryngeal Lymph Node Metastasis Rate
Prelaryngeal Lymph Node Metastases Number
Pretracheal Lymph Node Metastasis Rate
Paratracheal Lymph Node Metastasis Rate
Output
 Calculate
Prediction Bar

The Random Forest machine learning model used intraoperatively predicts Level III Lymph Node Metastasis

Note:"Age": Select based on the age at diagnosis."Tumor border": Indicate whether the thyroid capsule is involved (preoperative ultrasound)."Calcification": Specify the presence of microcalcifications (preoperative ultrasound)."Tumor internal vascularization": Indicate internal blood flow signals in the tumor (preoperative ultrasound)."Size": Input based on the intraoperative pathological tumor measurement."Extrathyroidal extension": Indicate if extrathyroidal invasion is present (intraoperative pathology).For central lymph node metastasis (intraoperative frozen pathology report), input both the number and proportion. Enter the proportion as a decimal between 0 and 1, and the number as the count of metastatic lymph nodes.

Age
Tumor border
Calcification
Tumor internal vascularization
Size
Extrathyroidal extension
Ipsilateral Central Lymph Node Metastasis
Ipsilateral Central Lymph Node Metastasis Rate
Pretracheal Lymph Node Metastases Number
Pretracheal Lymph Node Metastasis Rate
Output
 Calculate
Prediction Bar

The Random Forest machine learning model used intraoperatively predicts Level IV Lymph Node Metastasis

Note:"Tumor border": Indicate whether the thyroid capsule is involved (preoperative ultrasound)."Calcification": Specify the presence of microcalcifications (preoperative ultrasound)."Tumor internal vascularization": Indicate internal blood flow signals in the tumor (preoperative ultrasound)."Size": Input based on the intraoperative pathological tumor measurement."Extrathyroidal extension": Indicate if extrathyroidal invasion is present (intraoperative pathology).For central lymph node metastasis (intraoperative frozen pathology report), input both the number and proportion. Enter the proportion as a decimal between 0 and 1, and the number as the count of metastatic lymph nodes.

Tumor border
Calcification
Tumor internal vascularization
Size
Extrathyroidal extension
Ipsilateral Central Lymph Node Metastasis Rate
Ipsilateral Central Lymph Node Metastases Number
Paratracheal Lymph Node Metastasis
Paratracheal Lymph Node Metastasis Rate
Paratracheal Lymph Node Metastases Number
Output
 Calculate
Prediction Bar