Lung cancer is a disease with high incidence rate and high mortality rate worldwide. Its diagnosis and treatment mode is developing constantly. Among them, multi-disciplinary team (MDT) can provide more accurate diagnosis and more individualized treatment, which can not only benefit more early patients, but also prolong the survival time of late patients. However, MDT diagnosis and treatment mode is only carried out more in provincial and municipal tertiary hospitals and has not been popularized. This article intends to introduce MDT mode and its advantages, hoping that MDT mode can be popularized and applied.
MicroRNAs (miRNAs) are a class of short, highly conserved, non-coding RNA molecules that regulate gene expression by specific binding to the messenger RNAs (mRNAs). At present, the researches on miRNAs have caused immense global concern, and expression of miR-139-5p plays a significant role in tumorigenesis, metastasis and recurrence, through regulating proliferation, migration, and invasion of cancer cells in lung cancer, esophageal cancer, breast cancer, tongue squamous cell carcinoma, hepatocellular carcinoma, etc. MiR-139-5p has a positive impact on the prognosis of cancer, and it can combine with some chemotherapeutic drugs to reverse resistance and enhance the sensitivity of radiotherapy. It also works in the cells and tissues of other diseases, including nerve cells, and inflammation. This article reviewed the progress of miR-139-5p.
ObjectiveTo investigate the relationship between primary pulmonary mucinous adenocarcinoma (PPMA) mass type and pneumonia type and the difference of malignant degree, and to analyze the role of clinical manifestations and CT features in the diagnosis of this disease. MethodsThe clinical data of PPMA patients admitted in the First Affiliated Hospital of Xiamen University from May 2011 to March 2022 were retrospectively analyzed. According to CT features, they were divided into a mass type group and a pneumonia type group. The clinical manifestations, CT features and the relationship between Ki-67 index and the degree of malignancy between the two groups were analyzed and compared, and the diagnostic ability of PPMA was enhanced. ResultsA total of 57 PPMA patients were enrolled. There were 17 males and 40 females, with an average age of 53.82±10.65 years, and 28 (49%) patients had reversed hato-like sign. There were statistically significant differences between the two groups in the maximum diameter of tumor, boundary condition and pleural indentation sign (P<0.05). There was no significant difference between the two groups in Ki-67% index and its high and low value-added groups (P>0.05). ConclusionThere is no significant difference in the degree of malignancy between the two types of PPMA, which supports that the pneumonia type is only the manifestation of the disease progression of the lump type. PPMA is more common in elderly women and often occurs in both lower lungs. The clinical manifestations are mainly cough and white mucinous sputum. CT scans can show various manifestations, among which the reversed hato-like sign is expected to become an important imaging feature. Combined with high solid fraction, pleural indentation sign, and vacuole sign, it can play a significant auxiliary role in its diagnosis.
ObjectiveTo explore the predictive value of CT signs of mixed ground-glass nodules in the pathological subtype and differentiation of lung adenocarcinoma. MethodsThe clinical data of 66 patients with mixed ground-glass nodules pathologically diagnosed as invasive adenocarcinoma (IAC) in the Second Department of Thoracic Surgery, the First Affiliated Hospital of Xiamen University from May to December 2021 were retrospectively analyzed, including 20 males and 46 females, aged 35-75 years. The CT findings were analyzed before operation, and the lesion profile was cut after operation to distinguish the ground-glass and solid components, and the pathological results of different positions were obtained. According to the postoperative pathological results, the patients were divided into a low-risk group (containing adherent type and no components of micropapillary subtype and solid subtype, n=16), a medium-risk group (containing niple or acinar type and no components of micropapillary subtype and solid subtype, n=38), and a high-risk group (containing micropapillary or solid subtype, n=12). The relationships between CT features and the pathological subtype and degree of differentiation were analyzed and compared. ResultsIn 66 patients with IAC, the infiltration degree of solid components was greater than that of ground-glass components. When the solid component ratio (CTR) was≥25% (sensitivity 90.2%, specificity 64.0%, P=0.005), and the average CT value was＞−283.95 HU (sensitivity 82.9%, specificity 64.0%, P=0.000), the histological grade was more inclined to medium and low differentiation. The CTR, Ki-67, average CT value and histological grade of IAC in the medium- and high-risk groups were higher than those of nodules in the low-risk group. ConclusionThe infiltration degree of solid components is higher than that of ground-glass components in IAC mixed ground-glass nodules. The pathological subtype, Ki-67 expression and histological grade of lung adenocarcinoma can be predicted according to its CT characteristics, which has important clinical significance for determining the timing of surgery.
ObjectiveTo investigate the clinical effect of three-port Da Vinci robot-assisted radical resection of lung cancer. MethodsThe clinical data of patients who underwent Da Vinci robot-assisted radical resection of lung cancer in the Second Department of Thoracic Surgery, the First Affiliated Hospital of Xiamen University from April 2021 to March 2022 were retrospectively analyzed. According to the number of surgical ports, they were divided into two groups: a three-port group (three-port Da Vinci robot-assisted radical resection of lung cancer), and a four-port group (traditional Da Vinci robot-assisted radical resection of lung cancer). The operation time, intraoperative bleeding, lymphadenectomy, total thoracic drainage, extubation time, postoperative complications and postoperative pain of the two groups were compared and analyzed. ResultsA total of 58 patients were included, including 19 males and 39 females, aged 31-79 years. There were 21 patients in the three-port group, and 37 patients in the four-port group. The visual analogue scores on the first and third day after the operation were 4.33±1.20 points and 2.24±0.77 points in the three-port group, and 5.11±1.22 points and 2.78±1.06 points in the four-port group, and there were statistical differences between the two groups (P<0.05). There was no significant difference between the two groups in terms of operation time, intraoperative bleeding, lymph node dissection, postoperative thoracic drainage, time of thoracic tube insertion or postoperative complications (P>0.05). ConclusionThree-port Da Vinci robot-assisted radical resection of lung cancer can reduce the postoperative pain without increasing the operation difficulty and complications, and can be widely used in the clinical practice.
Objective To explore the value of preoperative detection of soluble fragments of cytokeratin-19 (CYFRA21-1), carcinoembryonic antigen (CEA), and postoperative detection of nuclear proliferation associated antigen Ki67 in prognostic evaluation of non-small cell lung cancer patients. Methods The clinicopathological data and follow-up results of patients with non-small cell lung cancer treated in the Department of Thoracic Surgery of the First Affiliated Hospital of Xiamen University in 2017 were collected. CYFRA21-1>3.39 ng/mL was defined as positive, and CEA>5 ng/mL was defined as positive. The receiver operating characteristic curve (ROC curve) of Ki67 expression level was drawn. The maximum area under the curve (AUC) was the cutoff value of Ki67 expression level, and the Ki67 expression level greater than its cutoff value was defined as positive. Cox regression analysis was used to determine the independent risk factors for poor prognosis in patients with non-small cell lung cancer. Results Finally 248 patients were collected, including 125 males and 123 females, with a median age of 61 years (ranging from 30 to 81 years) at the time of surgery. Univariate analysis showed that positive CYFRA21-1, high expression of Ki67, positive CEA, age≥60 years at operation, distant metastasis, lymph node metastasis, maximum tumor diameter>3 cm, and TNM stage Ⅲ were associated with poor prognosis in patients with non-small cell lung cancer. When combined detection of preoperative tumor markers and postoperative Ki67, the prognosis of all negative patients was the best, and that of all positive patients was the worst. Cox regression analysis showed that positive CEA+positive CYFRA21-1+high expression of Ki67 was an independent risk factor for poor prognosis in patients with non-small cell lung cancer (P<0.05). Conclusion The combined detection of preoperative serum CYFRA21-1, CEA, and postoperative Ki67 has important value in evaluating the prognosis of non-small cell lung cancer patients.
Following the rapid advancement of artificial intelligence technologies, especially the development of large language models like ChatGPT, the field of medical clinical practice is undergoing an unprecedented technological revolution. These advanced technologies, through efficient processing and analysis of large datasets, not only provide medical professionals with auxiliary diagnoses and treatment suggestions but also significantly enhance the quality and efficiency of medical education. This study conducts a comprehensive analysis and review of the applications of large language models in various aspects, including clinical inquiry, history collection, medical literature writing, clinical decision support, optimization of medical portal websites, patient health management, medical education, academic research, and scientific writing. However, the application of these technologies is not without flaws and presents several limitations and ethical challenges. This paper focuses on challenges related to technological errors, academic dishonesty, abuse risks, over-reliance, possibilities of misdiagnosis and treatment errors, and issues of accountability. In conclusion, large language models demonstrate tremendous potential in the integration and advancement of medical practices. Nevertheless, while fully harnessing the benefits brought by ChatGPT, it is essential to acknowledge and address these ethical challenges to ensure that the application of ChatGPT in the medical field is responsible and effective.