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Objective:To improve the understanding of acute pain after thoracoscopic surgery in patients with early-stage lung adenocarcinoma, to analyze and screen out the independent risk factors that may induce acute postoperative pain. The patients' surgery experience may get improved through the corresponding timely and effective interventions.Methods:We retrospectively reviewed the clinical data of 204 patients with early-stage lung adenocarcinoma who were treated by a single medical team of our center from May 2021 to October 2021, and analyzed the assessment results of acute postoperative pain. Patients were grouped according to the general condition, past medical history, social and spiritual attributes, lesion characteristics, surgical approaches and anesthetic methods. Comparison of proportions of acute postoperative pain between the groups were made, and independent risk factors were identified.Results:A total of 84 males and 120 females were enrolled, with a mean age of(57.9±11.5)years old and a median operation time of 120(110, 145) min. No serious complication or perioperative death occurred in the whole group. Postoperative pain control failed in 76 cases(37.3%), 24 cases(11.8%) suffered from severe postoperative pain, and 33 cases(16.2%) required additional intramuscular injection of strong analgesics after surgery. Those who were younger than 60 years old, with a university degree or above, received two-incision surgery, operated for more than 2 h, received general anesthesia only, or in a state of depression, had significantly higher rates of postoperative acute pain, compared with their respective control groups( P<0.05). The independent risk factors for acute pain after thoracoscopic surgery included age( P=0.002), history of alcoholism( P=0.014), number of incisions( P=0.016), operation time( P=0.010), depression status( P=0.037) and enhanced anesthetic method( P=0.012). Conclusion:A large amount of patients with early-stage lung cancer suffered from acute pain after thoracoscopic surgery, which seriously affected their treatment experience and even quality of life. Young patients with a history of alcoholism and depression status were high-risk groups for postoperative acute pain. Applying Uniportal video-assisted thoracoscopic surgery, reducing the operation time as much as possible, and choosing enhanced analgesic anesthesia represented by epidural block combined with general anesthesia might be effective ways to reduce the probability of acute postoperative pain.
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The RET(REarranged during transfection) gene as a novel has broken the therapeutic deadlock in the last two years, whith is attributed to the rapid approval of targeted therapies and inclusion in treatment guidelines, bringing more hope for the survival of patients with non-small cell lung cancer(NSCLC). Usually, the main activation of the RET proto-oncogene contributes to the development of lung cancer via somatic rearrangements. Thus, this study reviews the biological characteristics of RET gene, the classification of RET fusion in lung cancer and the detection of RET fusion. Meanwhile the pathological and clinical features, targeted therapies, drug resistance, prognosis of lung cancer patients with RET fusion were further discussed.
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Objective:To investigate the application of low-dose chest CT(LDCT) in the screening of pulmonary subsolid nodules in population and the application value of artificial intelligence.Methods:People who received chest LDCT screening between January 2015 and December 2017 were included. A retrospective study was developed to analyze the enrolled population features , detection of pulmonary subsolid nodules and independent predictors of subsolid nodules , and to evaluate the accuracy of the artificial intelligence reading method.Results:Result of three cross-sectional studies reveals that the detection rates of pulmonary subsolid nodules were 0.42%, 0.69% and 0.92% in three rounds. 726 cases who completed the three rounds of screening were included in the cohort study. The cohort population was predominantly male(83.2%), with a median age of 43 years, and nearly half of the subjects(47.0%) had a history of smoking. GEE revealed that the patient's family history of lung cancer( OR=8.753, 95% CI: 1.877-40.816, P=0.006) was an independent predictor of the detection of subsolid nodules. In the 110 kVp tube voltage group, AUC of AI model was 0.740, and AUC of the manual reading method was 0.721, no significant differences were observed( P=0.502); when the preseted cutoff value of AI model was 0.75, the NRI was -0.15, indicating the accuracy of AI model was inferior to manual method( P=0.006). In the 130 kVp tube voltage group, AUC of the model was 0.888, and AUC of the manual reading method was 0.756, no significant differences were observed( P=0.128); and the NRI was 0.19, indicating the accuracy of AI model was not inferior to manual method( P=0.123). Conclusion:This population' s detection rates of pulmonary subsolid nodules were 0.42%-0.92%. Family history of lung cancer was an independent predictor of subsolid pulmonary nodules. The result of AI pulmonary nodule detection model could be a reference when the training set data parameters match the actual application parameters.