Prediction method for benign and malignant cervical lymph nodes before minimal thyroid cancer ablation

A prediction method and lymph node technology, applied in computer parts, organ motion/change detection, ultrasound/sonic/infrasonic Permian technology, etc., can solve the problems of difficult lymph node identification and atypical manifestations, etc.

Pending Publication Date: 2021-08-06
上海奥创安可塔医疗科技有限公司
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AI Technical Summary

Problems solved by technology

However, the ultrasonic images of cervical lymph node metastasis in the early stage of partial thyroid microcarcinoma are not typical, and it is difficult to distinguish them

Method used

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Embodiment Construction

[0027] The present invention will be described in further detail below.

[0028] According to one or more embodiments, a method for predicting benign and malignant cervical lymph nodes before ablation of thyroid microcarcinoma is disclosed, including the following steps:

[0029] S1. Obtain gray-scale ultrasound images of cervical lymph nodes before minimally invasive ablation of thyroid microcarcinoma;

[0030] S2. Outlining and segmenting the ROI of the lymph node region in the acquired ultrasound image;

[0031] S3. Perform image matching and high-throughput feature extraction, and calculate omics features;

[0032] S4. Carry out feature dimensionality reduction and eliminate redundant factors in high-throughput features;

[0033] S5. Establish a radiomics prediction model, and use the test image data to perform external verification of the model;

[0034] S6. Inputting the ultrasound image into the verified radiomics prediction model for prediction and outputting a pred...

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Abstract

The invention discloses a method for predicting benign and malignant cervical lymph nodes before a minimal thyroid carcinoma ablation operation, which overcomes the defects of lack of specificity, lower diagnosis accuracy and limitation in preoperative judgment of minimal thyroid carcinoma cervical lymph node metastasis by the conventional imaging method at present. The method is characterized by comprising the following steps: S1, acquiring a gray-scale ultrasonic image of a neck lymph node before a thyroid minimal cancer minimally invasive ablation operation; s2, performing ROI outlining and segmentation on a lymph node region in the image; s3, performing image matching and high-throughput feature extraction, and calculating omics features; s4, carrying out feature dimension reduction; s5, establishing a radiomics prediction model, and performing external verification of the model; s6, inputting the ultrasonic image into a radiomics prediction model for prediction and outputting a prediction result. The method for predicting benign and malignant cervical lymph nodes before minimal thyroid cancer ablation can meet clinical diagnosis and treatment requirements, can establish the prediction model for accurate prediction, and can assist in clinical accurate decision making.

Description

technical field [0001] The invention relates to a method for predicting benign and malignant cervical lymph nodes before ablation of thyroid microcarcinoma. Background technique [0002] Imaging-guided ablation of thyroid nodules has the advantages of minimal invasiveness, aesthetics, and safety, and has been widely used in the treatment of benign thyroid nodules, thyroid microcarcinoma, and some metastatic lymph nodes. For thyroid microcarcinoma, ablation therapy is only suitable for small lesions less than 1 cm in the thyroid gland. If cervical lymph node metastasis of thyroid cancer is found before surgery, puncture surgery combined with neck lymph node dissection is still the only option. Therefore, the diagnosis of benign and malignant cervical lymph nodes plays a key role in formulating the treatment plan for patients with thyroid microcarcinoma. [0003] However, the current conventional imaging methods for judging cervical lymph node metastasis of thyroid microcarci...

Claims

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Application Information

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IPC IPC(8): G16H50/30A61B8/08G06K9/62G06T7/11
CPCG16H50/30G06T7/11A61B8/085A61B8/5223G06T2207/10132G06T2207/20104G06T2207/20081G06T2207/30004G06F18/24323
Inventor 董怡刘凌晓王文平
Owner 上海奥创安可塔医疗科技有限公司
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