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 explore the value of amide proton transfer-weighted (APTw) imaging and intravoxel incoherent motion (IVIM) imaging for diagnosing and evaluating the pathological differentiation of cervix squamous cell carcinoma (CSCC).Methods:This study was a diagnostic trial. Totally 56 patients pathologically diagnosed with CSCC at the First Hospital of Lanzhou University from October 2021 to October 2022 were retrospectively collected, as the CSCC group. And 36 female healthy volunteers who underwent physical examinations at the First Hospital of Lanzhou University from October 2021 to October 2023 were recruited as the control group. CSCC patients were divided into well-moderately differentiated ( n=34) and poorly differentiated groups ( n=22). The region of interest was placed in the lesions of CSCC group and normal cervical stroma of control group, and the quantitative parameters for asymmetric magnetization transfer ratio (MTR asym) of APTw imaging and pure diffusion coefficient (D), false diffusion coefficient (D *) and perfusion fraction (f) for IVIM were obtained. The independent sample t test was used to compare the differences in quantitative parameters between the two groups, the logistic regression model was used to establish combined parameters for the quantitative parameters with statistical significance between the two groups. The receiver operator characteristic curve was used to evaluate the diagnostic efficacy of single quantitative parameters and combined parameters to distinguish the CSCC group from the control group, and the well-moderately differentiated group from the poorly differentiated group in CSCC patients. The area under the curve (AUC) was compared using the DeLong test. Results:There were significant differences in MTR asym, D and f between CSCC group and control group ( t=-9.79, 10.09, 11.35, P<0.001). Also, significant differences were found for MTR asym and D between the well-moderately differentiated and poorly differentiated group ( t=4.11, -3.76, P<0.001). There was no significant difference in other quantitative parameters ( P>0.05). When comparing the CSCC group and control group, the AUC (95% CI) of MTR asym, D, f and combined parameter (MTR asym+D+f) were 0.887 (0.804-0.944), 0.940 (0.871-0.979), 0.968 (0.909-0.993), 0.995 (0.950-1.000). The AUC of the combined parameter was higher than those of MTR asym and D, with statistical significance ( Z=3.07, 2.06, P=0.002, 0.040). When comparing the well-moderately differentiated and poorly differentiated group, the AUC (95% CI) of MTR asym, D, and combined parameter (MTR asym+D) were 0.789 (0.660-0.887), 0.775 (0.644-0.876), 0.852 (0.731-0.932). There was no significant difference between each two AUCs ( P>0.05). Conclusion:The quantitative parameters of APTw and IVIM imaging can be used to diagnose and preliminarily evaluate the pathological differentiation of CSCC. Joint parameters can improve the diagnostic efficiency of CSCC.

Objective : To examine the diagnostic and prognostic value of long non-coding RNA (lncRNA) JPX in mesothelioma, so as to provide insights into diagnosis and prognosis of mesothelioma. Methods: Patients with clinically definitive diagnosis of mesothelioma from 2015 to 2019 that were sampled from asbestos processing plants in Zhejiang Province from 2015 to 2019 were recruited in the mesothelioma group, while healthy residents without asbestos exposure or asbestos-related diseases in the same area served as controls. Participants' demographics, pathologic diagnosis and imaging features were collected, and the expression of blood lncRNA JPX was detected using lncRNA microarrays. The diagnostic value of lncRNA JPX for mesothelioma was evaluated using the receiver operating characteristic (ROC) curve, and the correlation between lncRNA JPX expression and prognosis was examined among mesothelioma patients using survival analysis. Results: There were 17 subjects in the mesothelioma group, with a mean age of (65.71±8.36) years, and 34 subjects in the controls, with a mean age of (64.24±8.70) years. LncRNA microarray detected significantly high lncRNA JPX expression in mesothelioma patients, and higher blood lncRNA JPX expression was detected in the mesothelioma group than in the control group [median (interquartile range), 1.10 (1.31) vs. 0.89 (0.54); t'=-2.300, P=0.034]. The area under the ROC curve was 0.673 (95%CI: 0.507-0.839, P=0.046), and if the cutoff was 1.759, the sensitivity and specificity were 35.3% and 100.0%, respectively. Survival analysis showed no significant difference in the survival rate of mesothelioma patients between the high lncRNA JPX expression group and the low expression group (χ2=0.212, P=0.645). Conclusions LncRNA JPX overexpression is detected in the blood of patients with mesothelioma, and lncRNA JPX expression presents a diagnostic value for mesothelioma; however, it shows little prognostic value for mesothelioma.

Microvascular invasion (MVI) is an independent predictor of early recurrence and poor prognosis following hepatocellular carcinoma (HCC) resection and transplantation. As a novel non-invasive diagnostic tool, radiomics can extract the quantitative imaging features of tumors and peritumoral tissues with high throughput, providing more information on tumor heterogeneity than conventional and functional imaging of visual analysis and having a good application prospect in predicting the presence of MVI in HCC patients, thereby improving the accuracy of HCC diagnosis and prognosis. The value of the multimodal radiomics method based on various imaging methods in evaluating the possibility of MVI in HCC patients is elucidated here in combination with the latest research progress.

Objective:To explore the effect of different post-processing parameters of digital radiography (DR) on the quality of chest X-ray for pneumoconiosis diagnosis, and to provide suggestions on parameter setting suitable for this kind of DR machine.Methods:From January 1, 2022 to June 30, 2022, the chest films of 35 workers in the department of radiology of Hangzhou occupational disease prevention and treatment hospital were randomly selected and printed after setting different image post-processing parameters. The quality of chest film was evaluated by the measurement of optical densitometer and the combination of subjective and objective by professional physicians.Results:When the density is set to 2 and the contrast/detail contrast is 4.5, the optical density of each area of DR chest film meets the requirements of chest X-ray quality, and the qualified rate of physician quality evaluation is the highest.Conclusion:Reasonable setting of image post-processing parameters can improve the quality of chest radiograph.

Objective:To explore the effect of different post-processing parameters of digital radiography (DR) on the quality of chest X-ray for pneumoconiosis diagnosis, and to provide suggestions on parameter setting suitable for this kind of DR machine.Methods:From January 1, 2022 to June 30, 2022, the chest films of 35 workers in the department of radiology of Hangzhou occupational disease prevention and treatment hospital were randomly selected and printed after setting different image post-processing parameters. The quality of chest film was evaluated by the measurement of optical densitometer and the combination of subjective and objective by professional physicians.Results:When the density is set to 2 and the contrast/detail contrast is 4.5, the optical density of each area of DR chest film meets the requirements of chest X-ray quality, and the qualified rate of physician quality evaluation is the highest.Conclusion:Reasonable setting of image post-processing parameters can improve the quality of chest radiograph.

Objective : To examine the effect of asbestos exposure on oxidative stress, so as to provide insights into the elucidation of pathogenesis and management of asbestos-related diseases. Methods : Totally 245 subjects were recruited from an asbestos manufacturing area in Zhejiang Province, and their gender, age and history of asbestos exposure were collected through a questionnaire survey. The serum levels of 8-hydroxy-2'deoxyguanosine ( 8-OHdG ), glutathione ( GSH ), malondialdehyde ( MDA ), superoxide dismutase ( SOD ) and total antioxidative capacity ( TAOC ) were measured using an enzyme-linked immunosorbent assay ( ELISA ), and the levels of catalase ( CAT ), peroxiredoxin 2 ( PRX2 ), SOD1, SOD2 and thioredoxin-1 ( TRX1 ) were detected in peripheral white blood cells ( WBCs ) using a liquid-chip assay. Multivariable linear regression analysis was performed to identify the association between asbestos exposure and oxidative stress parameters. Results : There were 50 subjects without a history of asbestos exposure (unexposed group), 102 subjects with asbestos exposure for less than 10 years ( AE<10-year group ) and 93 subjects with asbestos exposure for 10 years and more ( AE≥10-year group ). No significant differences were found among the three groups in terms of age, gender, proportion of smokers or proportion of alcohol consumers ( P>0.05 ). Significantly higher 8-OHdG and MDA in serum, and higher PRX2 in peripheral WBCs were detected in the AE≥10-year group than in the unexposed group ( P<0.05 ); lower GSH and TAOC in serum, and lower CAT in peripheral WBCs were detected in the AE≥10-year group than in the unexposed group ( P<0.05 ); higher 8-OHdG and MDA in serum, and higher PRX2 in peripheral WBCs were detected in the AE≥10-year group than in the AE<10-year group ( P<0.05 ). Multivariable linear regression analysis showed that asbestos exposure significantly correlated with 8-OHdG, MDA and TAOC in serum, and CAT and PRX2 in peripheral WBCs ( P<0.05 ). Conclusion Asbestos exposure may induce the oxidative stress damage, suggesting that oxidative stress may be involved in asbestos-related diseases.

Objective    To compare the clinical effects of segmentectomy and lobectomy for ≤2 cm lung adenocarcinoma with micropapillary and solid subtype negative by intraoperative frozen sections. Methods    The patients with adenocarcinoma who received segmentectomy or lobectomy in multicenter from June 2020 to March 2021 were included. They were divided into two groups according to a random number table, including a segmentectomy group (n=119, 44 males and 75 females with an average age of 56.6±8.9 years) and a lobectomy group (n=115, 43 males and 72 females with an average of 56.2±9.5 years). The clinical data of the patients were analyzed. Results    There was no significant difference in the baseline data between the two groups (P>0.05). No perioperative death was found. There was no statistical difference in the operation time (111.2±30.0 min vs. 107.3±34.3 min), blood loss (54.2±83.5 mL vs. 40.0±16.4 mL), drainage duration (2.8±0.6 d vs. 2.6±0.6 d), hospital stay time (3.9±2.3 d vs. 3.7±1.1 d) or pathology staging (P>0.05) between the two groups. The postoperative pulmonary function analysis revealed that the mean decreased values of forced vital capacity and forced expiratory volume in one second percent predicted in the segmentectomy group were significantly better than those in the lobectomy group (0.2±0.3 L vs. 0.4±0.3 L, P=0.005; 0.3%±8.1% vs. 2.9%±7.4%, P=0.041). Conclusion    Segmentectomy is effective in protecting lungs function, which is expected to improve life quality of patients.

Pneumoconiosis is a serious occupational disease in China. Early imaging examination is one of the important measures for the diagnosis, treatment and prevention of pneumoconiosis. Digital radiography (DR) and computed tomography (CT) play an important role in the screening and diagnosis of pneumoconiosis, as well as the recent rise of artificial intelligence (AI) technology. This paper reviews the latest progress in technical parameter debugging and quality control of DR, optimization of AI computer-aided system and CT-aided diagnosis of pneumoconiosis, summarizes the advantages and problems in the application of the three technologies, providing research directions for imaging diagnosis of pneumoconiosis.

OBJECTIVE: To investigate the cognition of remote consultation of pneumoconiosis and analysis of influencing factors on its use intention. METHODS: A total of 282 physicians from 216 hospitals were selected using a convenient sampling method. The cognition of remote consultation of pneumoconiosis was investigated using the Questionnaire of Use Intention of Remote Consultation Mode in the Diagnosis of Pneumoconiosis. A structural equation model was used to analyze the influencing factors of the willingness to use remote consultation. RESULTS: The average scores in the dimensions of subjective norms, attitude, trust, uncertainty, compatibility, comparative advantage, complexity, perceived risk and use intention of remote consultation for pneumoconiosis were(3.7±0.9),(3.7±0.8),(3.5±0.8),(3.7±0.9),(3.7±0.9),(3.8±0.9),(3.0±0.8) and(3.5±0.8), respectively. Structural equation model analysis results showed that, on use intention of remote consultation, the perceived risk and uncertainty had significant negative impact(standardized path coefficient=-0.148 and-0.828, respectively, P<0.01), and compatibility had a significant positive impact(standardized path coefficient=2.053, P<0.01). There was no significant effect of dimensions of subjective norms, attitude, trust, comparative advantage and complexity on use intention(P>0.05). CONCLUSION: Perceived risk, uncertainty and compatibility are the main factors affecting the willingness to use remote consultation for pneumoconiosis. Remote consultation for pneumoconiosis is helpful to meet the needs of pneumoconiosis diagnosis in all hospitals.