Objectives:To finely divide the aortic sinus into sections and accurately localize the coronary ostium through CARTO three-dimensional mapping,and to assess the clinical effects of treating aortic sinus cusps premature ventricular contraction(ASC-PVC)and the ablation risk in the corresponding area with zero X-ray radiofrequency ablation. Methods:A total of 66 patients who underwent radiofrequency ablation for ASC-PVC from January 2020 to January 2023 were included in this analysis,patients were divided into experimental group(n=34)and conventional group(n=32).In the conventional group,the CARTO 3 system was used to create an aortic sinus model through the conventional method.The earliest stimulating target was identified by using electrical stimulation mapping(ESM).Radiofrequency ablation treatment was performed after the distance between the target and the coronary ostium was precisely measured by coronary angiography through the hollow tube of the ablation catheter or coronary angiography tube.In the experimental group,the CARTO 3 system was used to build a model of the aortic sinus and the coronary ostium and aortic sinus were divided into sections.The earliest stimulating target was identified by ESM.After localizing coronary ostium through the impedance changing pattern on the ablation catheter tips,catheter ablation was performed with zero X-ray.The data regarding the impedance of the ablation catheter in the aortic sinus were collected.The total operative time,the operative time in the aortic sinus,contrast dosage,X-ray exposure time,immediate and short-term success rates of the operation and complication rates were compared between the two groups.Besides,the distribution of successfully ablated targets and their relationship with the risk of ablation were analyzed in both groups. Results:There was no significant statistical difference in the immediate and short-term success rates between the two groups(93.8%vs.94.1%;90.6%vs.88.2%,both P>0.05).The experimental group did not receive contrast agents during the operation,and the total operation time and intra-aortic sinus operation time in the experimental group were significantly shorter than those in the conventional group([58.76±4.94]min vs.[66.91±5.94]min,P<0.001;[43.12±4.49]min vs.[50.31±5.18]min,P<0.001).During the process of moving the ablation catheter from the intra-aortic sinus to the coronary artery opening and into the coronary artery,the impedance suddenly increased,which was significantly different from the impedance in other parts of the intra-aortic sinus(all P<0.001). Conclusions:Radiofrequency ablation of ASC-PVC with zero X-ray can simplify the procedures and shorten the operative time.The steep increase in impedance at the tip of the ablation catheter can be used as a basis for localizing the coronary ostium.Dividing the aortic sinus into sections allows a detailed assessment of the risk for ablation treatment at the targets.

Objective This work aimed to evaluate the effect of artificial aging on the translucency and color differ-ence(ΔE)of ultra-translucent zirconia and provide a reference for clinical application.Methods The discs of ultra-translucent zirconia from six brands(Wieland,3M ESPE,Amann Girrbach,Kuraray Noritake,Upcera,and Besmile)were cut and sintered according to each manufacturer's product instructions;the experimental groups were named ZNT,LVP,AG,KAT,UPC,and BSM,respectively.IPS e.max Press was used as the control group(PLT).The specimens(n=6)were prepared with a diameter of 14 mm and a thickness of 1 mm.The specimens were subjected to artificial aging treat-ment according to the following conditions:in an auto-clave at 134℃ at 0.2 MPa for 4,8,and 12 h.According to the CIE1976Lab system,the CIE L*,a*,and b* values of the specimens before and after aging were measured by a co-lorimeter.The translucency parameter(TP)and ΔE were calculated.Results The mean TP values of each group before aging inorder were PLT>KAT>AG>ZNT>BSM>UPC>LVP.We found no significant difference in translu-cency in all experimental groups after aging for 4 and 8 h compared with those before aging.After 12 h of aging,the TP values of the KAT and ZNT groups were not significantly different from those before aging,but the TP values of the AG,BSM,LVP,and UPC groups were significantly lower than those before aging(P<0.05).The TP value of the control group was significantly higher than that of the other experimental groups at different stages(P<0.05).ΔE=3.3 was con-sidered the visible color difference,and ΔE was less than 3.3 in all groups after 4 h of aging.After aging for 8 h,ΔE of the UPC group was slightly higher than 3.3.ΔE of the BSM and UPC groups was greater than 3.3 after 12 h of aging.Conclusion The TP and ΔE of different brands of ultra-translucent zirconia may change after various aging times.The translucency of some zirconia showed a decreasing trend and the color difference showed an increasing trend with the aging time.

Objective: To evaluate the image quality of novel dark-blood computed tomography angiography (CTA) imaging combined with deep learning reconstruction (DLR) compared to delayed-phase CTA images with hybrid iterative reconstruction (HIR), to visualize the cervical artery wall in patients with Takayasu arteritis (TAK). Materials and Methods: This prospective study continuously recruited 53 patients with TAK (mean age: 33.8 ± 10.2 years; 49 females) between January and July 2022 who underwent head-neck CTA scans. The arterial- and delayed-phase images were reconstructed using HIR and DLR. Subtracted images of the arterial-phase from the delayed-phase were then added to the original delayed-phase using a denoising filter to generate the final-dark-blood images. Qualitative image quality scores and quantitative parameters were obtained and compared among the three groups of images: Delayed-HIR, Dark-blood-HIR, and Dark-blood-DLR. Results: Compared to Delayed-HIR, Dark-blood-HIR images demonstrated higher qualitative scores in terms of vascular wall visualization and diagnostic confidence index (all P < 0.001). These qualitative scores further improved after applying DLR (Dark-blood-DLR compared to Dark-blood-HIR, all P < 0.001). Dark-blood DLR also showed higher scores for overall image noise than Dark-blood-HIR (P < 0.001). In the quantitative analysis, the contrast-to-noise ratio (CNR) values between the vessel wall and lumen for the bilateral common carotid arteries and brachiocephalic trunk were significantly higher on Darkblood-HIR images than on Delayed-HIR images (all P < 0.05). The CNR values were significantly higher for Dark-blood-DLR than for Dark-blood-HIR in all cervical arteries (all P < 0.001). Conclusion Compared with Delayed-HIR CTA, the dark-blood method combined with DLR improved CTA image quality and enhanced visualization of the cervical artery wall in patients with TAK.

Keloids are benign skin tumors resulting from the excessive proliferation of connective tissue in wound skin. Precise prediction of keloid risk in trauma patients and timely early diagnosis are of paramount importance for in-depth keloid management and control of its progression. This study analyzed four keloid datasets in the high-throughput gene expression omnibus (GEO) database, identified diagnostic markers for keloids, and established a nomogram prediction model. Initially, 37 core protein-encoding genes were selected through weighted gene co-expression network analysis (WGCNA), differential expression analysis, and the centrality algorithm of the protein-protein interaction network. Subsequently, two machine learning algorithms including the least absolute shrinkage and selection operator (LASSO) and the support vector machine-recursive feature elimination (SVM-RFE) were used to further screen out four diagnostic markers with the highest predictive power for keloids, which included hepatocyte growth factor (HGF), syndecan-4 (SDC4), ectonucleotide pyrophosphatase/phosphodiesterase 2 (ENPP2), and Rho family guanosine triphophatase 3 (RND3). Potential biological pathways involved were explored through gene set enrichment analysis (GSEA) of single-gene. Finally, univariate and multivariate logistic regression analyses of diagnostic markers were performed, and a nomogram prediction model was constructed. Internal and external validations revealed that the calibration curve of this model closely approximates the ideal curve, the decision curve is superior to other strategies, and the area under the receiver operating characteristic curve is higher than the control model (with optimal cutoff value of 0.588). This indicates that the model possesses high calibration, clinical benefit rate, and predictive power, and is promising to provide effective early means for clinical diagnosis.
Humans ; Keloid/genetics* ; Nomograms ; Algorithms ; Calibration ; Machine Learning

Objective To investigate the effect of different radiation doses on the accuracy of iodine quantification and CT value of virtual monochromatic image with a muti-spectral CT iodine phantom using second-generation dual-layer detector spectral CT(DLCT).Methods The second-generation DLCT scan abdominal phantom was used,which consisted of six different concentrations of iodine rods at 4,8 and 12 g/L.The scan parameters were set at 100,120 and 140 kVp tube voltages,and six radiation exposure sequences were scanned at each tube voltage:5,10,15,20,25 and 30 mGy.Measure the iodine concentration value and the CT value at the single level of 50,70 and 100 keV,and calculate the absolute error value of iodine concentration and CT value under different radiation exposure.SPSS 22.0 software single factor analysis of variance was used to compare the difference between the io-dine concentration and the absolute error of CT value under different Radiation exposure,and LSD method was used to compare the two groups.Results The absolute error of CT value of 4 g/L iodine rod with 10～30 mGy scanning at 100 keV energy level was significantly higher than that of 12 g/L and 8 g/L(P＜0.05),and the absolute error of iodine concentration measurement of other iodine rods with different concentrations at different Radiation exposure had no statistical difference.Conclusions The second-generation double-layer detector spectral CT has high meas-urement stability for iodine concentration quantification and CT value accuracy under conditions of radiation dose greater than 5 mGy.

Objective Due to the increasing number but unknown quality of the existing systematic reviews meta-analyses(SRs/MAs)of acupuncture and moxibustion in the treatment of cancer-related fatigue(CRF),this overview aimed to systematically evaluate and synthesize these SRs/MAs.Methods SRs/MAs were searched via 8 databases from inception to February 22,2022.AMSTAR 2,PRISMA and GRADE evaluation tools were used to evaluate the quality of reports,methodologies and evidence included in MAs/SRs.All analyses were performed with radar plots.Results 16 SRs/MAs were included.The main outcome index was the degree of fatigue.The results of 12 articles showed that acupuncture could effectively alleviate CRF.According to AMSTAR-2,4 SRs/MAs were considered being of high quality,10 medium quality and 2 low quality.There are 12 articles with PRISMA score of 16-24 and 4 articles with PRISMA score of 15-20.5,which mainly have defects in protocol registration and inter study bias.Amstar 2 evaluation includes 4 high-quality studies,studies.Grade rating shows that the evidence quality of acupuncture treatment of CRF is mostly medium,and the main factor of degradation is inaccuracy.Conclusions At present,the SRS/MAS report of acupuncture and moxibustion in the treatment of CRF is complete,and the quality of methodology and evidence is medium.It is suggested that SRS/MAS improve the program registration and funding source description in the future to enhance the assessment of the risk of inter study bias.

Objective:To evaluate the effectiveness of deep learning reconstruction (DLR) compared with hybrid iterative reconstruction (Hybrid IR) in improving the image quality in chest low-dose CT (LDCT).Methods:Seventy-seven patients who underwent LDCT scan for physical examination or regular follow-up in Peking Union Medical College Hospital from October 2020 to March 2021 were retrospectively included. The LDCT images were reconstructed with Hybrid IR at standard level (Hybrid IR Stand) and DLR at standard and strong level (DLR Stand and DLR Strong). Regions of interest were placed on pulmonary lobe, aorta, subscapularis muscle and axillary fat to measure the CT value and image noise. The signal to noise ratio (SNR) and contrast to noise ratio (CNR) were calculated. Subjective image quality was evaluated using Likert 5-score method by two experienced radiologists. The number and features of ground-glass nodule (GGN) were also assessed. If the scores of the two radiologists were inconsistent, the score was determined by the third radiologist. The objective and subjective image evaluation were compared using the Kruskal-Wallis test, and the Bonferroni test was used for multiple comparisons within the group.Results:Among Hybrid IR Stand, DLR Stand and DLR Strong images, the CT value of pulmonary lobe, aorta, subscapularis muscle and axillary fat had no significant differences (all P>0.05), but the image noise and SNR of pulmonary lobe, aorta, subscapularis muscle and axillary fat had significant differences(all P<0.05), and the CNR of images had significant difference( P<0.05), too. The CNR of Hybrid IR Stand images, DLR stand images and DLR strong images were 0.71 (0.49, 0.88), 1.06 (0.78, 1.32) and 1.14 (0.84, 1.48), respectively. Compared with Hybrid IR images, DLR images had lower objective and subjective image noise,higher SNR and CNR (all P<0.05). The scores of DLR images were superior to Hybrid IR images in identifying lung fissures, pulmonary vessels, trachea and bronchi, lymph nodes, pleura, pericardium and GGN (all P<0.05). Conclusions:DLR significantly reduced the image noise, and DLR images were superior to Hybrid IR images in identifying GGN in chest LDCT while maintaining superior image quality at relatively low radiation dose levels. Thus DLR images can improve the safety of lung cancer screening and pulmonary nodule follow-up by CT.

Objective:To explore the effect of deep learning reconstruction (DLR) on radiation dosage reduction and image quality of CTPA compared with hybrid iterative reconstruction (HIR).Methods:A total of 100 patients with suspected pulmonary embolism (APE) or indications for CTPA due to other pulmonary artery diseases in Peking Union Medical College Hospital from December 2020 to April 2021 were prospectively enrolled and divided into HIR group and DLR group according to block randomization, with 50 cases in each group. The patient′s gender, age and body mass index (BMI) were recorded. HIR group and DLR group underwent standard deviation (SD)=8.8 and SD=15 CTPA protocols in combination with HIR and DLR algorithm respectively. Other scanning parameters and contrast medium injection plan were the same. The effective dose (ED) and size-specific dose estimate (SSDE) were calculated. Regions of interest (ROIs) were drawn in the lumen of Grade 1-3 pulmonary arteries and bilateral paravertebral muscles. The corresponding CT and SD values were recorded to acquire signal to noise ratio (SNR) and contrast noise ratio (CNR). Based on a double-blind method, two radiologists evaluated the subjective noise, visualization of pulmonary arteries, and diagnostic confidence of the two groups by 5-point Likert scales. The inconsistent results were judged comprehensively by the third radiologist. Independent samples t-test was used to compare the demographic data, radiation dosage and quantitative image quality of the two groups. Mann-Whitney U test was used to compare the subjective noise, visualization of pulmonary arteries and diagnostic confidence between the two groups. Linear weighted Kappa coefficient was calculated to analyze the consistency of the qualitative scores between the two radiologists. Results:There were no significant differences in gender, age and BMI between the two groups ( P>0.05). The CT values of Grade1-3 pulmonary arteries and paravertebral muscle had no significant differences ( P>0.05). Compared with HIR group, the ED and SSDE in DLR group decreased by about 35% to 1.3 mSv and 4.20 mGy respectively, while the SNR (30±5) and CNR (26±5) of CTPA images were higher in DLR group than those in HIR group (23±5 and 20±5, with t=-6.60 and -5.90, respectively, both P<0.001). The subjective noise score was higher in DLR group than that in HIR group ( Z=-7.34, P<0.001). In addition, two radiologists showed excellent interobserver agreement in DLR group (Kappa=0.847, 95%CI 0.553-1.000). No significant differences were found in visualization of pulmonary arteries and diagnostic confidence between the two groups ( P>0.05). Conclusion:DLR further reduced the radiation dosage and improved the image quality of CTPA, with no detriment to diagnostic confidence. Thus DLR is worthy of clinical promotion.

Objective:To investigate the feasibility of chest ultra-low dose CT (ULDCT) using deep learning reconstruction (DLR) for lung cancer screening, and to compare its image quality and nodule detection rate with ULDCT iterative reconstruction (Hybrid IR) and conventional dose CT (RDCT) Hybrid IR.Methods:The patients who underwent chest CT examination for pulmonary nodules in Peking Union Medical College Hospital from October 2020 to March 2021 were prospectively included and underwent chest RDCT (120 kVp, automatic tube current), followed by ULDCT (100 kVp, 20 mA). The RDCT images were reconstructed with Hybrid IR (adaptive iterative dose reduction 3D,AIDR 3D), and ULDCT was reconstructed with AIDR3D and DLR. Radiation dose parameters and nodule numbers were recorded. Image quality was assessed using objective noise, signal-to-noise ratio (SNR) of the main trachea and left upper lobe, subjective image scores of the lung and nodules. Subjective scores were scored by 2 experienced radiologists on a Likert 5-point scale. The difference of radiation dose was compared with paired t-test between ULDCT and RDCT.The differences of quantitative indexes, objective image noise and subjective scores of the three reconstruction methods were compared with one-way analysis of variance or Friedman test. Results:Forty-five patients were enrolled, including 17 males and 28 females, aged from 32 to 74 (55±11) years. The radiation dose of ULDCT was (0.17±0.01) mSv, which was significantly lower than that of RDCT [(1.35±0.41) mSv, t=15.46, P<0.001]. There were significant differences in the image noise and SNR in the trachea and lung parenchyma and in the CT value of the trachea among ULDCT-AICE, ULDCT-AIDR 3D and RDCT-AIDR 3D images ( P<0.05). Image noise in the trachea and lung parenchyma and CT value in the trachea of ULDCT-AICE were significantly lower than those of ULDCT-AIDR 3D ( P<0.05) and comparable to RDCT-AIDR 3D ( P>0.05). There were significant differences in subjective image scores of the lung and nodules among ULDCT-AICE, ULDCT-AIDR 3D and RDCT-AIDR 3D images (χ2=50.57,117.20, P<0.001). Subjective image scores of the lung and nodules for ULDCT-AICE were significantly higher than those of ULDCT-AIDR 3D ( P<0.05), and non-inferior to RDCT-ADIR 3D ( P>0.05). All 72 clinically significant nodules detected on RDCT-ADIR 3D were also noted on ULDCT-AICE and ULDCT-AIDR 3D images. Conclusions:Chest ULDCT using DLR can significantly reduce the radiation dose, and compared with Hybrid IR, it can effectively reduce the image noise and improve SNR, and display the pulmonary nodules well. The image quality and nodule detection are not inferior to RDCT Hybrid IR routinely used in clinical practice.

"The Expert Group on Tumor Ablation Therapy of Chinese Medical Doctor Association, The Tumor Ablation Committee of Chinese College of Interventionalists, The Society of Tumor Ablation Therapy of Chinese Anti-Cancer Association and The Ablation Expert Committee of the Chinese Society of Clinical Oncology" have organized multidisciplinary experts to formulate the consensus for thermal ablation of pulmonary subsolid nodules or ground-glass nodule (GGN). The expert consensus reviews current literatures and provides clinical practices for thermal ablation of GGN. The main contents include: (1) clinical evaluation of GGN, (2) procedures, indications, contraindications, outcomes evaluation and related complications of thermal ablation for GGN and (3) future development directions.
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