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Yu Zhang
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EP1.12 - Small Cell Lung Cancer/NET (ID 202)
- Event: WCLC 2019
- Type: E-Poster Viewing in the Exhibit Hall
- Track: Small Cell Lung Cancer/NET
- Presentations: 1
- Now Available
- Moderators:
- Coordinates: 9/08/2019, 08:00 - 18:00, Exhibit Hall
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EP1.12-25 - Comparison in Therapeutic of Operation Combined with Chemotherapy and with pd-1 and pd-l1 Inhibitors for Stage 2 Small Cell Lung Cancer (Now Available) (ID 330)
08:00 - 18:00 | Presenting Author(s): Yu Zhang
- Abstract
Background
The treatment of small cell lung cancer has always been a comprehensive treatment based on chemotherapy. In recent years, the surgical treatment has certain positive effects on the OS and PFS of early small cell lung cancer. Studies on the treatment of small cell lung cancer by surgical treatment combined with chemotherapy have reported positive effects. As the application of pd-1 and pd-l1 inhibitors in non-small cell lung cancer has been approved by FDA, the treatment of pd-1 and pd-l1 inhibitors in small cell lung cancer still needs to be studied.
In particular, the study of surgical treatment combined with pd-1 and pd-l1 inhibitors in the treatment of small-cell lung cancer is still a new field, and there is no authoritative report at present.
Method
115 cases patients with ⅡA-ⅡC small cell lung cancer were divided into three groups. Group B: lobectomy + lymph node dissection combined with EP; Group C: lobectomy + lymph node dissection combined with pd-1 / pd-l1 inhibitors. The length of hospital stay, blood routine, blood biochemistry, complications, bone marrow suppression, OS, PFS and DFS were observed in the three groups.
Result
Group A: the average hospitalization time of 53 patients was 2-3 days, including 3 patients with fever, 21 patients with fatigue, 4 patients with diarrhea and 2 patients with skin rash, 1 patient died, and 30 patients with abnormal blood routine examination. Average DFS4.2-5.8 months, PFS 2.1-2.7 months, OS 6.4-9.3 months; Group B: the average hospitalization time of 46 patients was 10-21 days, including 10 patients with fever, 27 patients with fatigue, 2 patients with diarrhea and 3 patients with rash, and 41 patients with abnormal blood routine examination. Mean DFS7.7-8.3 months, PFS3.4-6.7 months, OS9.4-12.3 months; Group C: the mean hospitalization time of 16 patients was 10-27 days, including 12 patients with fever, 9 patients with fatigue, 1 patient with diarrhea and 2 patients with rash, and 14 patients with abnormal blood routine examination. Average DFS7.1-8.9 months, PFS 3.7-6.1 months, OS 10.1-11.1 months.
Conclusion
Chemotherapy alone is an effective treatment for small cell lung cancer, especially for advanced small cell lung cancer. Surgical treatment combined with chemotherapy can prolong OS and DFS in early small cell lung cancer. Surgical treatment combined with PD-1/PD-L1 inhibitors also has certain effect, which is one of the possible treatments.
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EP1.17 - Treatment of Early Stage/Localized Disease (ID 207)
- Event: WCLC 2019
- Type: E-Poster Viewing in the Exhibit Hall
- Track: Treatment of Early Stage/Localized Disease
- Presentations: 1
- Now Available
- Moderators:
- Coordinates: 9/08/2019, 08:00 - 18:00, Exhibit Hall
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EP1.17-02 - Artificial Intelligence in the Qualitative Study of Pulmonary Nodules by Analyzing the Genetic Map and Imaging Data of Lung Adenocarcinoma (Now Available) (ID 748)
08:00 - 18:00 | Presenting Author(s): Yu Zhang
- Abstract
Background
Artificial intelligence is the most influential technology for the future and the hottest research and technology at present. Lung cancer is the most common malignant tumor with the highest morbidity and mortality. By analyzing the genetic characteristics and imaging of patients with lung adenocarcinoma, this study aims to analyze the pulmonary nodules in the susceptible population to find the most characteristic.
Gansu province is an economically backward province in northwest China, with a poor environment, poor living conditions, low level of medical and health services, mainly rural population, per capita income less than 5,000 yuan, and a high incidence and mortality of lung cancer and esophageal cancer. Most patients come to the hospital for treatment are in the middle and late stage of lung cancer, and often miss the best time for treatment. Even if they come to the hospital for treatment, there is no good effect, and bring huge economic burden and family burden. The early diagnosis and treatment of lung cancer is particularly important. Artificial intelligence for lung cancer and population census is an economical, convenient and accurate technology, which will bring huge benefits to people's health.
Method
In this study, the imaging data of diagnosed lung adenocarcinoma patients with pulmonary nodules and the gene sequencing and mutation point of pathological specimens were studied by artificial intelligence, and the lung cancer genes identified by NICC were compared with deep learning to produce relatively complete learning software. The software was used to select the selected sample population of people with high risk of lung cancer regions, and then the postoperative pathology of pulmonary nodules highly suspected of lung cancer was input into the database, and the preoperative diagnosis of AI was compared and studied to optimize the software.
Result
It is hoped that this study can develop a set of artificial intelligence software with high accuracy and sensitivity, and then carry out early diagnosis and treatment of lung cancer in high-risk groups. Provide research basis for the genetics of lung adenocarcinoma and the early invasion characteristics of lung adenocarcinoma.
Conclusion
This study could develop a set of artificial intelligence software with high accuracy and sensitivity, and then carry out early diagnosis and treatment of lung cancer in high-risk groups. Provide research basis for the genetics of lung adenocarcinoma and the early invasion characteristics of lung adenocarcinoma.
