With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

AIM To investigate the mechanism of Jiedu Yizhi Formula on cognitive function and neuroinflammation in a mouse model of Alzheimer's disease(AD).METHODS 50 APP/PS1 double transgenic mice were randomly divided into the model group,the donepezil group,and the low-dose,moderate-dose,and high-dose Jiedu Yizhi Formula group(1.78,3.56 and 7.12 g/kg),with 10 mice in each group,in contrast to the 10 WT mice of the blank group.Following anesthesia administration and 8-week oral gavage regimen with respective drugs,all mice underwent final tissue sample collection.The mice had their learning and memory ability assessed by Morris water maze and nesting behavior scores;their pathology of brain tissue and Aβ expression observed using HE,Nissl and IHC staining;their polarization of microglia and the expression of inflammatory factors in hippocampal tissue detected by IF and ELISA;their hippocampal expression of PI3K/Akt/mTOR signaling pathway detected by RT-qPCR and Western blot.RESULTS Compared with the blank group,the model group had lower scores in total swimming distance,frequency in crossing the platform,residence time in the target quadrant,and nesting behavior scores(P＜0.05,P＜0.01);prolonged evasion latency(P＜0.01);more disorganized arrangement of pyramidal cells,solidification and deep staining,unclear demarcation,irregular cell shapes,reduction of Nyctinidia,and increased Aβ deposition in the brain tissue(P＜0.01);elevated expression of hippocampal microglia M1-type markers CD16/32 and lba-1(P＜0.01);decreased levels of M2-type marker CD206(P＜0.05);elevated levels of TNF-α and IL-1β(P＜0.01);decreased expressions of IL-13 and IL-4(P＜0.01);and decreased levels of PI3K,Akt and mTOR mRNA,and reduced p-PI3K,p-Akt and p-mTOR protein expressions(P＜0.01).Compared to the model group,the donepezil group and the Jiedu Yizhi Formula groups showed statistically significant improvements in the aforementioned indexes(P＜0.05,P＜0.01),with the magnitude of improvement being higher in the high-dose Jiedu Yizhi Formula group.CONCLUSION Jiedu Yizhi Formula suppresses microglia Ml-type polarization while enhancing M2-type polarization via activation the PI3K/Akt/mTOR signaling pathway,which subsequently reduces inflammatory cytokine secretion.This mechanism attenuates Aβ deposition in brain tissues and ameliorates cognitive dysfunction in AD mouse models.

Objective To explore the optimal warning threshold of motor evoked potentials(MEP)in decompression surgery for ossification of the posterior longitudinal ligament(OPLL)at cervical and thoracic segments,and the predictive role of different MEP parameters on postoperative lower extremity motor function.Methods A retrospective analysis was conducted on the clinical data of 227 patients diagnosed with cervical or thoracic OPLL and underwent decompression surgery from January 2022 to January 2024 in the hospital.There were 131 males and 96 females,with an average age of(60±10)years.All patients underwent continuous neuro-physiological monitoring during the operation,and the minimum ratio of MEP amplitude change to the baseline at the beginning of the operation(Dmax)and the ratio of MEP terminal amplitude change to the baseline at the end of the operation(Dend)were recorded.The correlations between these two ratios and the lower extremity motor func-tion immediately after the operation and at 1 year were compared.According to the Medical Research Council muscle strength score(MRC)standard,a postoperative score increase of≥1 point compared to preoperative was defined as postoperative motor dysfunction.Pearson correlation coefficients were used to evaluate the correlations between Dmax and Dend and the lower extremity motor function immediately after the operation and at 1 year.Receiver operating characteristic(ROC)curves were drawn to predict postoperative lower extremity motor dysfunc-tion using Dmax and Dend.Results Among the 227 patients,186 had cervical OPLL and 41 had thoracic OPLL.The incidence of lower extremity motor dysfunction immediately after the operation and at 1 year was 7 cases(3.76%)and 2 cases(1.08%)in the cervical group,and 9 cases(21.95%)and 3 cases(7.32%)in the thoracic group,respectively.The incidence of lower extremity motor dysfunction in the thoracic group was higher than that in the cervical group(P<0.001).The baseline induction rate of bilateral lower extremity MEPs was 98.92%(368/372)in the cervical group and 96.34%(79/82)in the thoracic group.The Pearson correlation coefficients of Dend with the bilateral lower extremity motor function immediately after the operation in the cervical and thoracic groups were both greater than those of Dmax,and the differences were statistically significant(cervical group:r=0.669,0.517,P=0.001 2;thoracic group:r=0.882,0.727,P=0.003 6),while the differences in the Pearson corre-lation coefficients of Dend and Dmax with the bilateral lower extremity motor function at 1 year were not statistically significant(cervical group:r=0.457,0.352,P=0.088;thoracic group:r=0.760,0.625,P=0.098).The cut-off values of Dend for the cervical group were 0.853 immediately after the operation and at 1 year,and the cut-off values of Dmax were 0.881 and 0.978,respectively.For the thoracic group,the cut-off values of Dend were 0.532 immediately after the operation and 0.639 at 1 year,and the cut-off values of Dmax were 0.532 and 0.640,respec-tively.Conclusions In OPLL surgery,the MEP monitoring strategy should be adjusted according to the surgical segment.For the cervical segment,Dmax should be emphasized to balance high sensitivity and specificity,while for the thoracic segment,Dmax or Dend can be flexibly selected.Higher MEP warning thresholds are required for cervical OPLL surgery(Dmax:0.881 immediately after the operation and 0.978 at 1 year;Dend:0.853),while significantly lower thresholds are needed for thoracic OPLL(Dmax/Dend:0.532 immediately after the operation and 0.640 at 1 year).

AIM To investigate the mechanism of Jiedu Yizhi Formula on cognitive function and neuroinflammation in a mouse model of Alzheimer's disease(AD).METHODS 50 APP/PS1 double transgenic mice were randomly divided into the model group,the donepezil group,and the low-dose,moderate-dose,and high-dose Jiedu Yizhi Formula group(1.78,3.56 and 7.12 g/kg),with 10 mice in each group,in contrast to the 10 WT mice of the blank group.Following anesthesia administration and 8-week oral gavage regimen with respective drugs,all mice underwent final tissue sample collection.The mice had their learning and memory ability assessed by Morris water maze and nesting behavior scores;their pathology of brain tissue and Aβ expression observed using HE,Nissl and IHC staining;their polarization of microglia and the expression of inflammatory factors in hippocampal tissue detected by IF and ELISA;their hippocampal expression of PI3K/Akt/mTOR signaling pathway detected by RT-qPCR and Western blot.RESULTS Compared with the blank group,the model group had lower scores in total swimming distance,frequency in crossing the platform,residence time in the target quadrant,and nesting behavior scores(P＜0.05,P＜0.01);prolonged evasion latency(P＜0.01);more disorganized arrangement of pyramidal cells,solidification and deep staining,unclear demarcation,irregular cell shapes,reduction of Nyctinidia,and increased Aβ deposition in the brain tissue(P＜0.01);elevated expression of hippocampal microglia M1-type markers CD16/32 and lba-1(P＜0.01);decreased levels of M2-type marker CD206(P＜0.05);elevated levels of TNF-α and IL-1β(P＜0.01);decreased expressions of IL-13 and IL-4(P＜0.01);and decreased levels of PI3K,Akt and mTOR mRNA,and reduced p-PI3K,p-Akt and p-mTOR protein expressions(P＜0.01).Compared to the model group,the donepezil group and the Jiedu Yizhi Formula groups showed statistically significant improvements in the aforementioned indexes(P＜0.05,P＜0.01),with the magnitude of improvement being higher in the high-dose Jiedu Yizhi Formula group.CONCLUSION Jiedu Yizhi Formula suppresses microglia Ml-type polarization while enhancing M2-type polarization via activation the PI3K/Akt/mTOR signaling pathway,which subsequently reduces inflammatory cytokine secretion.This mechanism attenuates Aβ deposition in brain tissues and ameliorates cognitive dysfunction in AD mouse models.

Objective To investigate the outcome of endovascular aortic repair under digital subtraction angiography (DSA) in the treatment of Stanford type B aortic dissection (TBAD). Methods A total of 104 TBAD patients admitted to our hospital from October 2019 to October 2022 were selected,of which 52 patients treated with best medication treat (BMT) were included into the BMT group,and 52 patients who underwent endovascular aortic repair under DSA on the basis of BMT were included into the combination group. The acute physiological and chronic health evaluation Ⅱ (APACHE Ⅱ) score,serum inflammatory indicators,liver and kidney function indicators,and coagulation function indicators before and after treatment,and hospital stay were compared between the two groups. Results The APACHE Ⅱ score,liver and kidney function indicators and inflammatory factors after treatment in the combination group were lower than those before treatment and in the BMT group (P<0.05). The combination group had more significant changes of coagulation function indicators after treatment than those before treatment and in the BMT group (P<0.05). The hospital stay of the combination group was shorter than that of the BMT group (P<0.05). Conclusion Endovascular aortic repair under DSA for TBAD can reduce inflammatory response,improve liver and kidney functions and coagulation function,and shorten the hospital stay,which has a better therapeutic effect than conservative drug treatment.

Objective To explore the optimal warning threshold of motor evoked potentials(MEP)in decompression surgery for ossification of the posterior longitudinal ligament(OPLL)at cervical and thoracic segments,and the predictive role of different MEP parameters on postoperative lower extremity motor function.Methods A retrospective analysis was conducted on the clinical data of 227 patients diagnosed with cervical or thoracic OPLL and underwent decompression surgery from January 2022 to January 2024 in the hospital.There were 131 males and 96 females,with an average age of(60±10)years.All patients underwent continuous neuro-physiological monitoring during the operation,and the minimum ratio of MEP amplitude change to the baseline at the beginning of the operation(Dmax)and the ratio of MEP terminal amplitude change to the baseline at the end of the operation(Dend)were recorded.The correlations between these two ratios and the lower extremity motor func-tion immediately after the operation and at 1 year were compared.According to the Medical Research Council muscle strength score(MRC)standard,a postoperative score increase of≥1 point compared to preoperative was defined as postoperative motor dysfunction.Pearson correlation coefficients were used to evaluate the correlations between Dmax and Dend and the lower extremity motor function immediately after the operation and at 1 year.Receiver operating characteristic(ROC)curves were drawn to predict postoperative lower extremity motor dysfunc-tion using Dmax and Dend.Results Among the 227 patients,186 had cervical OPLL and 41 had thoracic OPLL.The incidence of lower extremity motor dysfunction immediately after the operation and at 1 year was 7 cases(3.76%)and 2 cases(1.08%)in the cervical group,and 9 cases(21.95%)and 3 cases(7.32%)in the thoracic group,respectively.The incidence of lower extremity motor dysfunction in the thoracic group was higher than that in the cervical group(P<0.001).The baseline induction rate of bilateral lower extremity MEPs was 98.92%(368/372)in the cervical group and 96.34%(79/82)in the thoracic group.The Pearson correlation coefficients of Dend with the bilateral lower extremity motor function immediately after the operation in the cervical and thoracic groups were both greater than those of Dmax,and the differences were statistically significant(cervical group:r=0.669,0.517,P=0.001 2;thoracic group:r=0.882,0.727,P=0.003 6),while the differences in the Pearson corre-lation coefficients of Dend and Dmax with the bilateral lower extremity motor function at 1 year were not statistically significant(cervical group:r=0.457,0.352,P=0.088;thoracic group:r=0.760,0.625,P=0.098).The cut-off values of Dend for the cervical group were 0.853 immediately after the operation and at 1 year,and the cut-off values of Dmax were 0.881 and 0.978,respectively.For the thoracic group,the cut-off values of Dend were 0.532 immediately after the operation and 0.639 at 1 year,and the cut-off values of Dmax were 0.532 and 0.640,respec-tively.Conclusions In OPLL surgery,the MEP monitoring strategy should be adjusted according to the surgical segment.For the cervical segment,Dmax should be emphasized to balance high sensitivity and specificity,while for the thoracic segment,Dmax or Dend can be flexibly selected.Higher MEP warning thresholds are required for cervical OPLL surgery(Dmax:0.881 immediately after the operation and 0.978 at 1 year;Dend:0.853),while significantly lower thresholds are needed for thoracic OPLL(Dmax/Dend:0.532 immediately after the operation and 0.640 at 1 year).

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

With the widespread adoption of low-dose CT screening and the extensive application of high-resolution CT, the detection rate of sub-centimeter lung nodules has significantly increased. How to scientifically manage these nodules while avoiding overtreatment and diagnostic delays has become an important clinical issue. Among them, lung nodules with a consolidation tumor ratio less than 0.25, dominated by ground-glass shadows, are particularly worthy of attention. The therapeutic challenge for this group is how to achieve precise and complete resection of nodules during surgery while maximizing the preservation of the patient's lung function. The "watershed topography map" is a new technology based on big data and artificial intelligence algorithms. This method uses Dicom data from conventional dose CT scans, combined with microscopic (22-24 levels) capillary network anatomical watershed features, to generate high-precision simulated natural segmentation planes of lung sub-segments through specific textures and forms. This technology forms fluorescent watershed boundaries on the lung surface, which highly fit the actual lung anatomical structure. By analyzing the adjacent relationship between the nodule and the watershed boundary, real-time, visually accurate positioning of the nodule can be achieved. This innovative technology provides a new solution for the intraoperative positioning and resection of lung nodules. This consensus was led by four major domestic societies, jointly with expert teams in related fields, oriented to clinical practical needs, referring to domestic and foreign guidelines and consensus, and finally formed after multiple rounds of consultation, discussion, and voting. The main content covers the theoretical basis of the "watershed topography map" technology, indications, operation procedures, surgical planning details, and postoperative evaluation standards, aiming to provide scientific guidance and exploration directions for clinical peers who are currently or plan to carry out lung nodule resection using the fluorescent microscope watershed analysis method.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.