Objective To predict the lymph node metastasis status of patients with invasive pulmonary adenocarcinoma by constructing machine learning models based on primary tumor radiomics, peritumoral radiomics, and habitat radiomics, and to evaluate the predictive performance and generalization ability of different imaging features. Methods A retrospective analysis was performed on the clinical data of 1 263 patients with invasive pulmonary adenocarcinoma who underwent surgery at the Department of Thoracic Surgery, Jiangsu Province Hospital, from 2016 to 2019. Habitat regions were delineated by applying K-means clustering (average cluster number of 2) to the grayscale values of CT images. The peritumoral region was defined as a uniformly expanded area of 3 mm around the primary tumor. The primary tumor region was automatically segmented using V-net combined with manual correction and annotation. Subsequently, radiomics features were extracted based on these regions, and stacked machine learning models were constructed. Model performance was evaluated on the training, testing, and internal validation sets using the area under the receiver operating characteristic curve (AUC), F1 score, recall, and precision. Results After excluding patients who did not meet the screening criteria, a total of 651 patients were included. The training set consisted of 468 patients (181 males, 287 females) with an average age of (58.39±11.23) years, ranging from 29 to 78 years, the testing set included 140 patients (56 males, 84 females) with an average age of (58.81±10.70) years, ranging from 34 to 82 years, and the internal validation set comprised 43 patients (14 males, 29 females) with an average age of (60.16±10.68) years, ranging from 29 to 78 years. Although the habitat radiomics model did not show the optimal performance in the training set, it exhibited superior performance in the internal validation set, with an AUC of 0.952 [95%CI (0.87, 1.00)], an F1 score of 84.62%, and a precision-recall AUC of 0.892, outperforming the models based on the primary tumor and peritumoral regions. Conclusion The model constructed based on habitat radiomics demonstrated superior performance in the internal validation set, suggesting its potential for better generalization ability and clinical application in predicting lymph node metastasis status in pulmonary adenocarcinoma.

Objective To analyze the relationship between bone mineral density (BMD) of infants over 6 months of age and exclusive breastfeeding and calcium nutrition guidance during pregnancy in Baoding area, and to provide evidence for clinical application. Methods A total of 308 infants over 6 months of age were selected from Baoding Maternal and Child Health Hospital from January 2020 to January 2023, and their BMD was measured by ultrasound. The level of 25 (OH) D3 in subjects' blood was detected. spearman correlation test was used to analyze the correlation between infant bone mineral density and exclusive breastfeeding and calcium nutritional guidance during pregnancy, and logistics regression model was used to analyze the independent factors affecting infant bone mineral density. Results The level of serum 25 (OH) D3 in normal BMD group was significantly higher than that in abnormal BMD group (P<0.05). The rate of exclusive breastfeeding and the guidance rate of calcium nutrition during pregnancy in normal BMD group were significantly higher than those in abnormal BMD group (P<0.05). There was a significant positive correlation between different bone mineral density and exclusive breastfeeding and calcium nutrition guidance during pregnancy (P<0.05). Serum 25 (OH) D3 level, exclusive breastfeeding rate and calcium nutritional guideline rate during pregnancy were independent protective factors for bone mineral density (P<0.05). Conclusion Bone mineral density (BMD) of infants over 6 months of age is positively correlated with exclusive breastfeeding and calcium nutrition guidance during pregnancy, and exclusive breastfeeding and calcium nutrition guidance during pregnancy are independent protective factors affecting BMD of infants over 6 months of age.

Objective To predict the potential suitable distribution areas of Sophora japonica cv.jinhuai in China;To provide a references for resource development and expanded cultivation of Sophora japonica cv.jinhuai.Methods Totally 85 pieces of information on the distribution of sample sites were collected and combined data on 72 environmental factors,and the dominant environmental factors affecting the suitability distribution of Sophora japonica cv.jinhuai were analyzed using the maximum entropy(MaxEnt)model and geographic information system software ArcGIS.Results The five dominant environmental factors influencing the suitability distribution of Sophora japonica cv.jinhuai were dry month precipitation,May light radiation,November precipitation,September mean temperature,and October light radiation.The potentially suitable distribution area of Sophora japonica cv.jinhuai in China was mainly concentrated in the transition zone between south-central Hunan Province and northeast Guangxi Zhuang Autonomous Region.Conclusion The results of this study can provide references for the selection of the cultivation areas of Sophora japonica cv.jinhuai and protection of wild reso of Sophora japonica cv.jinhuai.

Background and objective Cystic lung cancer,a special type of lung cancer,has been paid more and more attention.The most common pathological type of cystic lung cancer is adenocarcinoma.The invasiveness of cystic lung adenocarcinoma is vital for the selection of clinical treatment and prognosis.The aim of this study is to analyze the multiple clinical features of cystic lung adenocarcinoma,explore the independent risk factors of its invasiveness,and establish a risk pre-diction model.Methods A total of 129 cases of cystic lung adenocarcinoma admitted to the Department of Thoracic Surgery of the First Affiliated Hospital of Nanjing Medical University from January 2021 to July 2022 were retrospectively analyzed and divided into pre-invasive group[atypical adenomatous hyperplasia(AAH),adenocarcinoma in situ(AIS)and minimally invasive adenocarcinoma(MIA)]and invasive group[invasive adenocarcinoma(IAC)]according to pathological findings.There were 47 cases in the pre-invasive group,including 19 males and 28 females,with an average age of(51.23±14.96)years.There were 82 cases in the invasive group,including 60 males and 22 females,with an average age of(61.27±11.74)years.Mul-tiple clinical features of the two groups were collected,including baseline data,imaging data and tumor markers.Univariate analysis,LASSO regression and multivariate Logistic regression analysis were used to screen out the independent risk factors of the invasiveness of cystic lung adenocarcinoma,and the risk prediction model was established.Results In univariate analysis,age,gender,smoking history,history of emphysema,neuron-specific enolase(NSE),number of cystic airspaces,lesion di-ameter,cystic cavity diameter,nodule diameter,solid components diameter,cyst wall nodule,smoothness of cyst wall,shape of cystic airspace,lobulation,short burr sign,pleural retraction,vascular penetration and bronchial penetration were statisti-cally different between the pre-invasive group and invasive groups(P<0.05).The above variables were processed by LASSO regression dimensionality reduction and screened as follows:age,gender,smoking history,NSE,number of cystic airspaces,lesion diameter,cystic cavity diameter,cyst wall nodule,smoothness of cyst wall and lobulation.Then the above variables were included in multivariate Logistic regression analysis.Cyst wall nodule(P=0.035)and lobulation(P=0.001)were found to be independent risk factors for the invasiveness of cystic lung adenocarcinoma(P<0.05).The prediction model was established as follows:P=e^x/(1+e^x),x=-7.927+1.476* cyst wall nodule+2.407* lobulation,and area under the curve(AUC)was 0.950.Conclusion Cyst wall nodule and lobulation are independent risk factors for the invasiveness of cystic lung adenocarcinoma,which have certain guiding significance for the prediction of the invasiveness of cystic lung adenocarcinoma.

OBJECTIVE: To explore the predictive value of acute physiology and chronic health evaluation II (APACHE II), sequential organ failure assessment (SOFA), quick sequential organ failure assessment (qSOFA) and modified early warning score (MEWS) in evaluating the prognosis of patients in intensive care unit (ICU) of secondary hospitals, and to provide guidance for clinical application. METHODS: The clinical data of adult critical patients admitted to the ICU of Wanzhou District First People's Hospital from October 2022 to April 2023 were retrospectively analyzed. According to the clinical outcome of ICU, the patients were divided into improvement group and death group. The general information, blood routine, heart, liver and kidney function indicators, coagulation indicators, blood gas analysis, APACHE II score, SOFA score, qSOFA score, MEWS score at the time of admission to the ICU, the number of cases of invasive mechanical ventilation (IMV) and continuous blood purification (CBP) were compared between the two groups. Univariate analysis was performed, and multivariate Logistic regression analysis was used to analyze the related factors of death. Receiver operator characteristic curve (ROC curve) was used to analyze the predictive value of the four scores in ICU patients. RESULTS: A total of 126 patients were included, of which 45 patients died in the ICU and 81 patients improved and transferred out. Univariate analysis of death-related critically ill patients showed that procalcitonin (PCT), serum creatinine (SCr), blood urea nitrogen (BUN), albumin (ALB), prothrombin time (PT), activated partial prothrombin time (APTT), D-dimer, pH value, HCO₃^-, blood lactic acid (Lac), number of patients treated with IMV and CBP, APACHE II score, SOFA score, qSOFA score and MEWS score were significantly different between the two groups (all P < 0.05). Multivariate Logistic regression analysis showed that the APACHE II score [odds ratio (OR) = 1.115, 95% confidence interval (95%CI) was 1.025-1.213, P = 0.011], SOFA score (OR = 1.204, 95%CI was 1.037-1.398, P = 0.015), MEWS score (OR = 1.464, 95%CI was 1.102-1.946, P = 0.009), and APTT (OR = 1.081, 95%CI was 1.015-1.152, P = 0.016) were independent risk factors affecting the mortality of critically ill patients in the ICU. ROC curve analysis showed that APACHE II, SOFA, qSOFA, and MEWS scores could predict the prognosis of critically ill ICU patients, among which SOFA score had the strongest predictive effect, and the area under the curve (AUC) was 0.808. There was a statistically significant difference in the time required for the four scores (F = 117.333, P < 0.001), among which the MEWS scoring required the shortest time [(1.03±0.39) minutes], and the APACHE II scoring required the longest time [(2.81±1.04) minutes]. CONCLUSIONS APACHE II, SOFA, qSOFA, and MEWS scores can be used to assess the severity of critically ill patients and predict in-hospital mortality. The SOFA score is superior to other scores in predicting severity. The MEWS is preferred because its assessment time is shortest. Early warning score can help secondary hospitals to detect potentially critical patients early and provide help for clinical rapid urgent emergency decision-making.
Adult ; Humans ; Sepsis/diagnosis* ; ROC Curve ; Retrospective Studies ; Critical Illness ; Early Warning Score ; Organ Dysfunction Scores ; Intensive Care Units ; Prognosis ; Hospitals

BACKGROUND: Lung cancer is still the malignant tumor with the highest morbidity and mortality in China. Lung adenocarcinoma is the most common subtype, and the number of lung cancer presenting as mixed ground glass nodule (mGGN) in imaging is gradually increasing. Visceral pleural invasion (VPI) is an important factor affecting the prognosis of mGGN type lung adenocarcinoma. The aim of the study is to explore and analyze the risk factors for VPI in mGGN type lung adenocarcinoma. METHODS: From November 2016 to November 2019, 128 patients with mGGN lung adenocarcinoma underwent radical surgical resection in the First Affiliated Hospital of Nanjing Medical University. Their clinical data, including imaging, pathological and biological features, were collected and analyzed retrospectively. There were 40 males and 88 females, aged 60.3±9.3 years ranging from 30 to 81 years. Single factor Chi-square test and multivariate Logistic regression were used to analyze the risk factors of VPI in mGGN type lung adenocarcinoma. RESULTS: Among 128 mGGN patients who met the inclusion criteria, 57 cases were pathologically confirmed with pleural invasion. Between the VPI (+) and VPI (-) group (P<0.05), there were significant differences in gender, maximum diameter of solid component, consolidation tumor ratio (CTR), spicule sign, history of lung disease, family history of hypertension, relation of lesion to pleura (RLP), coursing relationship between bronchi and nodules. In multivariate Logistic regression analysis, RLP (OR=3.529, 95%CI: 1.430-8.713, P=0.006) and coursing relationship between bronchi and nodules (OR=3.993, 95%CI: 1.517-10.51, P=0.005) were found to be independent risk factors for VPI (P<0.05). CONCLUSIONS The possibility of VPI in m GGN lung adenocarcinoma should be evaluated by combining these parameters in clinical diagnosis and treatment. As independent risk factors, RLP and coursing relationship between bronchi and nodules are instructive to identify VPI in mGGN type lung adenocarcinoma.
Adenocarcinoma of Lung/pathology* ; Female ; Humans ; Lung Neoplasms/surgery* ; Male ; Neoplasm Invasiveness ; Pleura/pathology* ; Retrospective Studies ; Risk Factors

Objective Create patient-derived xenograft (PDX) model of bone and soft tissue sarcoma,and analyze the success rate of PDX model,observe the effects of chemotherapy on PDX models and its coincidence,and provide a theoretical basis for screening sensitive second and third line drugs.Methods Collected 31 cases of bone and soft tissue sarcoma from January 2015 to May 2016,which included 12 male and 19 female,with an average age of (28.5±19.9) y.The tumor tissue was obtained the day of operation,and it was cut into 2 mm3 pieces and injected into the flank of BAL B/C nude mice or SCID mice.Tumor was passaged when the diameter reached 1-2 cm and the P0 tissue was froze.If there was no obvious tumor mass grows out for 3 months,the model creation will be stopped.We inoculated the mice with patients sample with or without chemotherapy,observed the effect of chemotherapy on the success rate of PDX modeling and the success rate of modeling of different pathological types,and also observed the relationship between the success rate of PDX modeling and the prognosis of patients.For the drug sensitivity test,3 mice was used in each group,and chemotherapy was given,T/C was used to evaluate the inhibition ratio after drug treatment.Results 31 PDX models were inoculated.The total success rate is 45.2％.Pathology of the PDX models and their success rates:24 osteosarcoma models,success rate is 37％;2 leiomyosarcoma models,success rate is 100％;2 chondrosarcoma models,success rate is 50％;1 Ewing sarcoma model successed;1 fibrosarcoma model and 1 synovial sarcoma model,were not successed.Post chemotherapy model success rate is 33％ (4/12),compared with 53％(10/19) of model success rate that without chemotherapy.And there is relationship between success rate of PDX model creation and patient outcome.The faster the PDX model creation,the worse the outcome.The drug sensitivity of PDX model coincides the clinical situation.Conclusion The success rate of creating PDX model of bone and soft tissue sarcoma is around 30％-40％,and it is related to the pathology and whether got chemotherapy or not,PDX models coincide sarcomas clinical situation,and it is hopefully to use PDX model in selecting personalized drugs.

Objective · To observe the effects of custom made fiber posts on the fracture resistance of young permanent teeth treated with calcium hydroxide for different time. Methods · Forty-five extracted human young permanent teeth (premolar) were selected and randomly assigned to 9 groups.One group was the control group and the rest 8 groups were treated with conventional root canal preparation. Of these 8 groups, 4 groups (F Ⅰ , F Ⅲ , F Ⅵ ,FⅨ ) were restored by custom made fiber posts after being treated with calcium hydroxide for 1, 3, 6, and 9 months respectively, and other 4 groups (C Ⅰ ,CⅢ , C Ⅵ , C Ⅸ ) were not restored by custom made fiber posts. All samples underwent fracture strength tests and their fracture modes were analyzed for the possibility of second repair. Results · The fracture load was decreased with the treatment time after being treated with calcium hydroxide for 1 month (P<0.01). The fracture loads in groups restored by custom made fiber posts were increased after being treated with calcium hydroxide for 6 and 9 months (P<0.05, P<0.01). After being treated with calcium hydroxide for 1 month, groups restored by custom made fiber posts were likely to have fracture modes that facilitate the second repair as compared with groups not restored by custom made fiber posts (P<0.05). Conclusion · The restoration by custom made fiber posts can increase the fracture resistance of young permanent teeth treated with calcium hydroxide for medium and long term ( ≥ 1 month).