In recent years, the computer science represented by artificial intelligence and high-throughput sequencing technology represented by omics play a significant role in the medical field. This paper reviews the research progress of the application of artificial intelligence combined with omics data analysis in the diagnosis and treatment of non-small cell lung cancer (NSCLC), aiming to provide ideas for the development of a more effective artificial intelligence algorithm, and improve the diagnosis rate and prognosis of patients with early NSCLC through a non-invasive way.
The National Comprehensive Cancer Network (NCCN) released the latest version 1, 2022 of "NCCN guidelines for the clinical diagnosis and treatment of small cell lung cancer" (hereinafter referred to as "guideline"). Based on high-quality evidence-based medicine, this guideline provides references of clinical diagnosis and treatment for clinicians around the world. Compared with the version 3, 2021 of the "guideline", updates and revisions mainly focused on the progress of radiotherapy and systemic treatment. This article will interpret the updated therapy content in this new version of the "guideline".
ObjectiveTo investigate the clinical efficacy of preoperative location of pulmonary nodules guided by electromagnetic navigation bronchoscopy (ENB). MethodsPatients who received preoperative ENB localization and then underwent surgery from March 2021 to November 2022 in the Department of Thoracic Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine were collected. The clinical efficacy and safety of ENB localization and the related factors that may affect the success of ENB localization were analyzed. ResultsInitially 200 patients were included, among whom 17 undergoing preoperative localization and biopsy were excluded and a total of 183 patients and 230 nodules were finally included. There were 62 males and 121 females with a mean age of 49.16±12.50 years. The success rate of navigation was 88.7%, and the success rate of ENB localization was 67.4%. The rate of complications related to ENB localization were 2.7%, and the median localization time was 10 (7, 15) min. Multi-variable analysis showed that factors related to successful localization included distance from localization site (OR=0.27, 95%CI 0.13-0.59, P=0.001), staining material (OR=0.40, 95%CI 0.17-0.95, P=0.038), and staining dose (OR=60.39, 95%CI 2.31-1 578.47, P=0.014). Conclusion ENB-guided preoperative localization of pulmonary nodules is safe and effective, and the incidence of complications is low, which can be used to effectively assist the diagnosis and treatment of early lung cancer.
Recently, anatomical segmentectomy emerges as a hot spot in clinical research for surgical treatment of early-stage lung cancer. The techniques of segmentectomy are more elaborate and complicated than lobectomy, because of the considerable anatomic variations of segment blood vessels and bronchus. In a long term, video-assisted thoracic surgery is the mainly minimally invasive approach. As a new approach of minimally invasive surgery, da Vinci robot system possesses three-dimensional and high definition view, better dexterity mechanical wrist and tremor filtering system, which are the main advantages over video-assisted thoracic surgery. All the superiorities of robot system provide good supports for performing segmentectomy. Robot-assisted segmentectomy has been carried out in many medical centers in China and abroad until now. However, most surgery cases often lack adequate controls on quality.
Intrathyroid thymic carcinoma (ITTC) is a rare type of malignent tumor. Two cases of ITTC were reported. Both patients underwent surgical treatment and recovered well after surgery, with no surgery-related complications and no recurrence during follow-up. In order to discuss the clinical features, diagnosis and treatment of ITTC, the literature review was conducted.
Segmentectomy is the removal of certain segments of the lung with lesions and retaining the normal lung tissue of the lobe. Lung segmentectomy is considered difficult due to the lack of clear anatomical boundaries between lung segments. Segmentectomy has a variety of indications, such as lung cancer, metastatic lung tumors, and many non-malignant diseases. In the treatment of early stage lung cancer, segmentectomy was initially considered only as a treatment option for patients not suitable for conventional lobectomy. As more evidence emerged, the indications for segmentectomy have continued to change over time, and segmentectomy has been widely performed in patients with early stage lung cancer. Theoretically, segmentectomy leads to better preservation of lung function than lobectomy, but the risk of incomplete tumor resection is higher, so the indication of segmentectomy has become a focus of debate. This article will introduce the surgical techniques of segmentectomy and summarize the published and unpublished clinical studies on segmentectomy for the treatment of early stage lung cancer.
ObjectiveTo analyze the risk factors for complications after robotic segmentectomy.MethodsClinical data of 207 patients undergoing robot-assisted anatomical segmentectomy in our hospital from June 2015 to July 2019 were retrospectively analyzed, including 69 males and 138 females with a median age of 54.0 years. The relationship between clinicopathological factors and prolonged air leakage, pleural effusion, and pulmonary infection after surgery was analyzed.ResultsAfter robot-assisted segmentectomy, 20 (9.7%) patients developed prolonged air leakage (>5 d), 17 (8.2%) patients developed pleural effusion, and 4 (1.9%) patients developed pulmonary infection. Univariate logistic regression showed that body mass index (BMI, P=0.018), FEV1% (P=0.024), number of N1 lymph nodes resection (P=0.008) were related to prolonged air leakage after robot-assisted segmentectomy. Benign lesion was a risk factor for pleural effusion (P=0.013). The number of lymph node sampling stations was significantly related to the incidence of pulmonary infection (P=0.035). Multivariate logistic analysis showed that the BMI (OR=0.73, P=0.012) and N1 lymph node sampling (OR=1.38, P=0.001) had a negative and positive relationship with prolonged air leakage after robot-assisted segmentectomy, respectively.ConclusionThe incidence of pulmonary complications after robot-assisted segmentectomy is low. The lower BMI and more N1 lymph node sampling is, the greater probability of prolonged air leakage is. Benign lesions and more lymph node sampling stations are risk factors for pleural effusion and lung infection, respectively. Attention should be paid to the prevention and treatment of perioperative complications for patients with such risk factors.
Objective To evaluate the effects of robot-assisted Ivor Lewis esophagectomy (RAILE) in surgical treatment of esophageal cancer. Methods We retrospectively analyzed the clinical data of 70 patients diagnosed with mid-lower esophageal cancer undergoing RAILE in the Department of Thoracic Surgery in Ruijin Hospital Affiliated to Shanghai Jiaotong University between May 2015 and April 2018. There were 54 males and 16 females at average age of 62.0±7.6 years. Forty patients underwent circular end-to-end stapled intrathoracic anastomosis and 30 had a double-layered, completely hand-sewn intrathoracic anastomosis. Results The mean operating time was 308.7±60.6 minutes. And blood loss was 190.0±95.1 ml. There were 2 patients who underwent conversion to thoracotomy. There was no in-hospital and 30-day mortality. Overall complications were observed in 24 patients (34.3%), of whom 6 patients (8.6%) had anastomotic leakage. The median length of hospitalization was 9.0 (interquartile range, IQR, 5.0) days. The mean tumor size was 3.2±1.5 cm, and R0 resection was achieved in all patients. The mean number of totally dissected lymph nodes was 19.3±8.7. Conclusion RAILE is safe and technically feasible with satisfactory perioperative outcomes.
China is a country with a high incidence of esophageal cancer. Most patients are already in the locally advanced stage when first diagnosed. Preoperative neoadjuvant therapy followed by surgery has become the standard treatment mode for them. Closely related to prognosis, the evaluation of tumor response is essential. Response evaluation criteria in solid tumors is the gold standard to evaluate tumor response, but the lesions must meet the measurement standards. Tumor regression grading (TRG) systems are designed to classify regressive changes after neoadjuvant treatment based on histopathological results to reveal prognostic information. Concentrating on pathologic assessment of esophageal cancer following neoadjuvant therapy, this article reviews histopathological changes, commonly used TRG systems and current debate.
Objective To evaluate the methodological quality of clinical practice guidelines and consensuses of robot-assisted surgery. Methods The guidelines and consensuses were screened according to the inclusion and exclusion criteria by searching the domestic and overseas guidelines network and electronic database from 1 January, 2000 to 29 December, 2021. The Appraisal of Guidelines for Research and EvaluationⅡ (AGREEⅡ) instrument was used independently by two evaluators to evaluate the guidelines and consensuses. The consistency test of intraclass correlation coefficient (ICC) was carried out for two evaluators, and the score of guidelines and consensuses in the six domains of AGREEⅡ were calculated. Results A total of 34 guidelines and consensuses were included, including 10 guidelines and 24 consensuses. The ICC was all greater than 0.75, indicating that the consistency of the two evaluators was high. The average scores of the 34 guidelines and consensuses in the six domains of AGREEⅡ (scope and purpose, stakeholder involvement, rigor of development, clarity of presentation, applicability and editorial independence) were 81.0%, 43.5%, 28.2%, 81.5%, 12.7% and 51.7%, respectively. Conclusion These evaluated guidelines and consensuses of robot-assisted surgery still need to be improved in the domains of rigor of development, applicability and editorial independence. With the continuous development of robot-assisted surgery, more guidelines and consensuses based on higher level of evidence will be developed to promote the standardized use of robot-assisted surgery.