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.

Objective To establish an ultra-high-performance liquid chromatography-triple quadrupole tandem mass spectrometry method for the determination of N-(1,3-dimethylbutyl)-N′-phenyl-p-phenylenediamine quinone (6PPDQ) in human plasma and urine. Methods Plasma and urine samples (0.3 mL each) were mixed with 0.9 mL acetonitrile and dichloromethane, vortexed, and subjected to ultrasonic treatment to facilitate extraction. After centrifugation, the extract was collected, evaporated to dry powder under nitrogen, and reconstituted. Separation was performed on a C18 column, and detection was carried out using ultra-high-performance liquid chromatography-triple quadrupole tandem mass spectrometry with external standard quantification. Results 6PPDQ showed good linearity in the range of 0.01-25.00 μg/L in both human plasma and urine, with correlation coefficients of 0.999 5 and 0.999 7, respectively. The detection limits for plasma and urine were 8 and 6 ng/L, and the lower limits of quantification were 27 and 19 ng/L, respectively. The average recovery rates were 97.00%-100.00% for plasma and 90.00%-96.50% for urine. The within-run relative standard deviations (RSDs) were 4.35%-10.00% for plasma and 2.34%-11.11% for urine, while the between-run RSDs were 6.80%-8.46% and 2.60%-10.00%, respectively. Samples can be stored for seven days at 4 ℃ or -20 ℃. respectively. Samples can be stored for seven days at 4 ℃ or -20 ℃. Matrix effects ranged from 87.12%-99.27% for plasma and 91.00%-97.56% for urine. Conclusion The proposed method is simple, highly sensitive, and reproducible, and is suitable for the determination of 6PPDQ in human plasma and urine samples.

Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*

Objective: To identify the maximum tolerated dose (MTD) of docetaxel combined with a fixed dose of cisplatin (75 mg/m 2 ) delivered as hyperthermic intraperitoneal chemotherapy (HIPEC) in patients with ovarian cancer. Methods: In this phase I trial, a time-to-event Bayesian optimal interval design was used.Docetaxel was given at a starting dose of 60 mg/m2 and was increased in 5 mg/m2 increments until the MTD was determined or the maximum dose level of 75 mg/m2 was reached. The doselimiting toxicity (DLT) rate was set at 25%, with a total sample size of 30 patients. HIPEC was delivered immediately following debulking surgery at a target temperature of 43°C for 90 minutes. Results: From August 2022 to November 2022, 30 patients were enrolled. Among the patients who received a dose of docetaxel ≤65 mg/m2 , no DLT was reported. DLTs were observed in one patient who received 70 mg/m2 docetaxel (grade 3 anaemia) and in three patients who received 75 mg/m2 docetaxel (one case of grade 3 anaemia, one case of grade 3 hepatic impairment and one case of grade 4 thrombocytopenia). Patients treated with docetaxel 75 mg/m2 in combination with cisplatin 75 mg/m2 had an estimated DLT rate of 25%, which was the closest to the target DLT rate and was therefore chosen as the MTD. Conclusion Docetaxel, in combination with a fixed dose of cisplatin (75 mg/m2), can be used safely at intraperitoneal doses of 75 mg/m2 in ovarian cancer patients who received HIPEC (43°C, 90 minutes) following debulking surgery.

Surface guided radiation therapy (SGRT) is a non-radiation, non-invasive technology that provides continuous postural monitoring of patients during radiotherapy. Using advanced 3D optical surface localization and tracking technology, SGRT quickly captures the surface contour information of patients through optical means to generate high-precision 3D surface contours, enabling real-time monitoring of patients during radiotherapy to ensure its accuracy. This image-guided technology has been widely applied in radiotherapy for tumors in different parts of the body, such as breast, intracranial, head and neck, and limbs. SGRT can reduce initial setup errors and provide real-time monitoring during treatment, or be combined with respiratory gating and deep inspiration breath-hold techniques. SGRT can also reduce radiation dose by reducing the use of CBCT, improve patient comfort with the use of immobilization devices, and enhance clinical speed, efficiency, and safety. This review aims to provide an overview of the commonly used technology and clinical applications of SGRT, and discuss its current limitations and future prospects.

Objective To evaluate the effect of sodium hyaluronate combined with recombinant human epidermal growth factor(rhEGF)in the treatment of dry eye after cataract surgery.Methods Patients with dry eye after cataract surgery were divided into treatment group and control group.The control group was treated with sodium hyaluronate eye drops via dropping into the conjunctival sac,a drop per dose,tid,for 4 weeks.On this basis,the treatment group was treated with rhEGF eye drops via dropping into the conjunctival sac,1-2 drops per dose,tid,for 4 weeks.The two groups were compared on overall clinical efficacy,dry eye symptoms before treatment and after 4 weeks of treatment.Tear-film breakup time(BUT),basic tear secretion test(schirmer Ⅰ test,SⅠT),corneal fluorescein staining(CFS)score,meibomian gland yield secretion score(MGYSS),and the levels of tear inflammatory factors were compared between two groups before treatment and after 4 weeks of treatment.The safety was evaluated.Results Finally,41 cases and 39 cases were included in the treatment group and the control group,respectively.After treatment,the total effective rates in the treatment group and the control group were 95.12％and 79.49％,with statistically significant difference(P＜0.05).After 4 weeks of treatment,dry eye symptom scores of the treatment group and control group were 1.42±0.18 and 2.31±0.26;BUT were(11.89±1.26)and(10.46±1.27)s;SⅠT were(10.12±1.35)and(8.45±0.87)mm;CFS scores were 0.83±0.11 and 1.94±0.25;MGYSS scores were 10.85±1.17 and 12.43±1.56;interleukin-1β levels in tears were(35.26±3.53)and(74.12±7.55)ng·L-1;interleukin-6 levels were(8.35±0.86)and(12.41±12.56)pg·mL-1.Compared with the control group,the above indexes in the treatment group were statistically significant(all P＜0.05).The incidence rates of adverse drug reactions in the treatment group and the control group were 12.20％and 10.26％,without statistically significant difference between the groups(P＞0.05).Conclusion Sodium hyaluronate combined with rhEGF can significantly improve dry eye symptoms after cataract surgery,enhance the stability of tear film,reduce tear inflammatory factors,and protect the integrity of meibomian gland.

Objective: To identify the maximum tolerated dose (MTD) of docetaxel combined with a fixed dose of cisplatin (75 mg/m 2 ) delivered as hyperthermic intraperitoneal chemotherapy (HIPEC) in patients with ovarian cancer. Methods: In this phase I trial, a time-to-event Bayesian optimal interval design was used.Docetaxel was given at a starting dose of 60 mg/m2 and was increased in 5 mg/m2 increments until the MTD was determined or the maximum dose level of 75 mg/m2 was reached. The doselimiting toxicity (DLT) rate was set at 25%, with a total sample size of 30 patients. HIPEC was delivered immediately following debulking surgery at a target temperature of 43°C for 90 minutes. Results: From August 2022 to November 2022, 30 patients were enrolled. Among the patients who received a dose of docetaxel ≤65 mg/m2 , no DLT was reported. DLTs were observed in one patient who received 70 mg/m2 docetaxel (grade 3 anaemia) and in three patients who received 75 mg/m2 docetaxel (one case of grade 3 anaemia, one case of grade 3 hepatic impairment and one case of grade 4 thrombocytopenia). Patients treated with docetaxel 75 mg/m2 in combination with cisplatin 75 mg/m2 had an estimated DLT rate of 25%, which was the closest to the target DLT rate and was therefore chosen as the MTD. Conclusion Docetaxel, in combination with a fixed dose of cisplatin (75 mg/m2), can be used safely at intraperitoneal doses of 75 mg/m2 in ovarian cancer patients who received HIPEC (43°C, 90 minutes) following debulking surgery.

Objective: To identify the maximum tolerated dose (MTD) of docetaxel combined with a fixed dose of cisplatin (75 mg/m 2 ) delivered as hyperthermic intraperitoneal chemotherapy (HIPEC) in patients with ovarian cancer. Methods: In this phase I trial, a time-to-event Bayesian optimal interval design was used.Docetaxel was given at a starting dose of 60 mg/m2 and was increased in 5 mg/m2 increments until the MTD was determined or the maximum dose level of 75 mg/m2 was reached. The doselimiting toxicity (DLT) rate was set at 25%, with a total sample size of 30 patients. HIPEC was delivered immediately following debulking surgery at a target temperature of 43°C for 90 minutes. Results: From August 2022 to November 2022, 30 patients were enrolled. Among the patients who received a dose of docetaxel ≤65 mg/m2 , no DLT was reported. DLTs were observed in one patient who received 70 mg/m2 docetaxel (grade 3 anaemia) and in three patients who received 75 mg/m2 docetaxel (one case of grade 3 anaemia, one case of grade 3 hepatic impairment and one case of grade 4 thrombocytopenia). Patients treated with docetaxel 75 mg/m2 in combination with cisplatin 75 mg/m2 had an estimated DLT rate of 25%, which was the closest to the target DLT rate and was therefore chosen as the MTD. Conclusion Docetaxel, in combination with a fixed dose of cisplatin (75 mg/m2), can be used safely at intraperitoneal doses of 75 mg/m2 in ovarian cancer patients who received HIPEC (43°C, 90 minutes) following debulking surgery.

Humans ; Consensus ; Hypersensitivity ; Desensitization, Immunologic/adverse effects* ; Immunotherapy/adverse effects* ; Injections, Subcutaneous ; Allergens

ObjectiveTo explore the role of structural MRI in the diagnosis of spinocerebellar ataxia type 3 （SCA3） and further evaluate its correlation with disease severity and disease duration. MethodsWe prospectively enrolled 81 genetically diagnosed SCA3 patients ［59 symptomatic （sym-SCA3） and 22 pre-symptomatic （pre-SCA3）］ and 35 age- and sex-matched healthy controls （HCs）. MRI structural images （3D T1 MPRAGE） and clinical data of all subjects were collected. Three observers with different radiological experience measured the width of the superior， middle and inferior cerebellar peduncle （SCP， MCP and ICP）， the anterior-posterior diameters of the pons and spinal cord at the levels of the foramen magnum and upper edge of the 3rd-5th cervical vertebra. One observer performed the measurements again 2 months later to assess for the intra- and inter-observer reliability， respectively. One-way ANOVA， rank-sum test， ROC curve and Random Forest were used to evaluate the diagnostic value of the above metrics for SCA3， and the correlation between the metrics and clinical variables was analyzed. ResultsNot depending on the radiological experience， the metrics based on morphological MRI showed high intra- and inter-observer reliability， among which bilateral superior and middle cerebellar peduncles performed best. The diameters of bilateral SCP， MCP， ICP， pons and spinal cord （except spinal cord at the level of the upper edge of the 5th cervical vertebra） decreased successively in HCs， pre-SCA3 and sym-SCA3 with a statistical difference （P<0.017）. ROC analysis revealed that the left MCP had the highest diagnostic value for pre-SCA3 （AUC=0.911）， with sensitivity， specificity and a cut-off value of 85.7%， 95.5% and 10.15 mm， respectively. In contrast， the right SCP had the highest diagnostic value for sym-SCA3 （AUC=0.999）， with sensitivity， specificity and a cut-off value of 100%， 98.3% and 2.62 mm， respectively. The Random Forest model based on the above metrics also had high diagnostic efficiency （AUC= 0.970， specificity=93.1%）， and the left MCP contributed the most. Correlation analysis showed that the above metrics had a significantly or moderately negative correlation with the Scale for the Assessment and Rating of Ataxia （SARA） and disease duration （P<0.05）. ConclusionNot depending on radiological experience， measurements of brain structure based on morphological MRI are reliable， which can help diagnose SCA3 and predict disease severity and duration. The left MCP and the right SCP perform best for predicting pre-SCA3 and sym-SCA3， respectively. Therefore， the structural MRI is recommended for assisting the clinical diagnosis of SCA3.