Analyze artificial intelligence and liquid biopsy enterprise map and product form

The author has seen such a story in the medical cancer network lung cancer circle forum - "a lung cancer patient from the onset to the final self-report". The story tells the story of the protagonist Wang Li (pseudonym) from lung cancer to treatment.

Wang Li is a senior female student who was diagnosed with lung cancer while internship at a hospital in Guangzhou. However, her path to diagnosis is very long. From the beginning of the irritating cough was treated as pneumonia, and the subsequent follow-up of various drugs did not improve, although the doctor has not ruled out lung cancer, but did not confirm the diagnosis. After a delay, when the lung cancer was diagnosed three months later, her cancer cells had spread and finally passed away after treatment.

Among the 730,000 new lung cancer patients in China each year, Wang Li is just the tip of the iceberg. But for her family and herself, she is all. From the beginning of the onset to the final diagnosis, Wang Li took three months to diagnose the condition. This matter has been criticized by netizens. However, is the diagnosis of lung cancer really so difficult?

解析人工智能与液体活检企业图谱及产品形态

Traditional methods can only diagnose advanced lung cancer

With the increase of smog, the increase in the number of smokers, and the influence of certain chemicals in the work and living environment, lung cancer has become one of the most malignant tumors that threaten the health and life of the population. According to statistics from the National Family Planning Commission, the incidence of lung cancer in China is growing at a rate of 26.9% per year. According to the survey of the reasons for the third death survey in China, the mortality rate of lung cancer has increased by 465% in the past three decades.

Lung cancer poses such a great threat to people's health, but the mainstream diagnosis of 11 lung cancers in hospitals can only diagnose patients with advanced lung cancer.

11 mainstream diagnostic methods for lung cancer:

1. Chest X-ray examination: It is an important means of diagnosing lung cancer. The lung shadow can be found through fluoroscopy or positive lateral X-ray.

2, chest CT: early detection and clearly show the size, shape and cumulative range of lesions in the hilar, lung and mediastinum, can help diagnose whether lung cancer can be removed;

3, magnetic resonance imaging (MRI): determine the extent of lung cancer invasion, staging and the possibility of surgical resection;

4, positron emission computer body layer phenomenon (PET): help to identify the tumor's good, malignant;

5, sputum cell examination: through the sputum examination, some lung cancer patients can be diagnosed, and the histological type of lung cancer can be judged, but it is necessary to continuously check 4 to 6 times to obtain the results;

6, fiberoptic bronchoscopy: pathological diagnosis can be obtained, to determine the extent of the lesion, to clear the surgical approach;

7, digital subtraction angiography: can understand the degree of lymph node metastasis of the hilar and tumor invasion of the bronchial wall, clear the presence or absence of specific lesions in the shadow of the lung;

8, percutaneous lung biopsy: suitable for sputum cytology and bronchoscopy can not obtain positive results, peripheral lesions with small lesions in the lungs and new peripheral lung lesions, lesions with unclear growth history, multiple lungs Nodular lesions, patients with a tendency to be incurable, lesions that do not require resection;

9, mediastinoscopy: is conducive to the diagnosis of tumors and TNM staging;

10, thoracoscopic examination: mainly used to determine the nature of pleural effusion or pleural mass;

11. Detection of serum tumor markers: Indirectly determine the presence of malignant lesions by detecting the specific substances secreted into the blood.

Early and even mid-stage lung cancer usually has no symptoms, and symptoms will not appear until the disease progresses to an advanced stage, which is incurable. Once the symptoms of lung cancer appear, it is in the middle and late stages. Even if the patient goes to the hospital for examination in the middle and late stages, it may be misdiagnosed or missed due to problems such as lack of experience, fatigue, and image quality of the doctor.

Therefore, the early screening and diagnosis of lung cancer through the development of new technologies to achieve early diagnosis and treatment of lung cancer, reduce missed diagnosis, and provide new possibilities. Through market observation, we have found that new technologies such as artificial intelligence and liquid biopsy have made some progress in the early diagnosis and treatment of lung cancer.

In addition, China's 45-year-old middle-aged group of about 500 million people, assuming a penetration rate of 3%, if the terminal price of the final tumor early screening diagnostic product is 3,000 dollars, then the market size is about 45 billion. To this end, the arterial network has taken stock of relevant technologies and product development companies in the field of lung cancer, and we will take a look at the situation at home and abroad.

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