Objective To explore the application value of deep learning image reconstruction(DLIR)algorithm combined with a large reconstruction matrix in lung nodules screening using low-dose computed tomography(LDCT)of the chest.Methods Patients who underwent LDCT scans were prospectively enrolled.The control group(group A)used the iterative reconstruction(IR)algorithm(Karl)with a reconstruction level of Karl 5,reconstructed images of 512×512(group A1)matrix,and 1 024 × 1 024(group A2)matrix.The experimental group employed DLIR combined with 512×512(group B)matrix and 1 024 × 1 024(group C)matrix for image reconstruction at levels 1-5,which were recorded as groups B1-5 and groups C1-5.The CT values and standard deviation(SD)values of the lung parenchyma and tracheal air were measured,and the signal-to-noise ratio(SNR)was calculated.The overall lung image quality was scored on a Likert 5-point scale,and the subgroup with the best lung image quality was selected.The lung nodule detec-tion rate and clarity were compared with group A1.Results Under the same reconstruction matrix,the CT values of the tracheal air and lung parenchyma in the experimental group showed no significant difference compared to the control group,while the SD values were lower and SNR were higher(P＜0.05).Within groups B and C,as the DLIR level increased,the SD values of the tracheal air and lung paren-chyma gradually decreased,and SNR gradually improved(P＜0.05).Subjective scores for the image quality in groups B and C initially increased and then decreased,with group B3 and group C4 showed the best image quality.No difference was observed in objective eval-uation between the two groups,but the subjective image quality score of group C4 was superior to group B3(P＜0.05).Subjective eval-uation of lung nodule display in group C4 was better than in group A1(P＜0.05).Conclusion DLIR algorithm combined with a large reconstruction matrix is feasible for lung nodules screening in chest LDCT,reducing image noise while improving lung nodules clarity,demonstrating significant clinical value.

Objective:To explore the application value of the double-low technique of auto-prescription technique combined with iterative reconstruction algorithm in CT pulmonary angiography (CTPA).Methods:A total of 86 patients who were clinically suspected of having pulmonary embolism and underwent CTPA examination in the First Affiliated Hospital of Dalian Medical University were prospectively collected and randomly assigned to a control group ( n = 45) and an observation group ( n = 41) according to the random number table method. In the control group, a tube voltage of 120 kVp was used with a standard iodine contrast agent dose of 60 ml, and images were reconstructed using the 40% adaptive statistical iterative reconstruction algorithm (ASIR-V). In the observation group, the tube voltage was set by auto-prescription technique, and 0.4 ml/kg of personalized low iodine contrast agent was used. Images were reconstructed with 40%, 60%, and 80% ASIR-V, respectively, and designated as observation 1, observation 2, and observation 3 respectively. The volume CT dose index (CTDI vol), dose-length product (DLP), and effective dose ( E) were recorded and compared among the four groups. The CT values and standard deviation (SD) of the main pulmonary artery, left and right pulmonary arteries, as well as the left and right pulmonary lobe arteries were measured, and the signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) of these arteries were calculated. Additionally, the SD value at the contrast medium concentration in the superior vena cava was measured, and the artifact index (AI) was subsequently calculated. Two observers independently assessed the visibility of the pulmonary arteries, image noise, and sclerosis artifacts in the superior vena cava using a blinded method. Results:The E in the observation group was 3.28 (2.08, 3.93) mSv, which was significantly lower than that in the control group [5.03 (4.86, 5.20)] mSv, and the difference was statistically significant ( Z = 174.00, P < 0.05). The contrast agent dosage in the observation group was 28 (25, 30) ml, which was lower than that in the control group (60 ml), and the difference was statistically significant ( Z = 0, P < 0.05). The CT values for the main pulmonary artery and the left and right pulmonary lobe arteries in the observation group were higher than those in the control group, and the differences were all statistically significant ( t = -3.65 to -3.89, P < 0.05). The SNR and CNR of the observation groups 2 and 3 were greater than those of the control group ( t = -9.20 to -2.98, P < 0.05). The consistency of subjective evaluations between the two observers was good ( Kappa = 0.729 - 0.879, P < 0.05). There was no statistically significant difference in the subjective score of pulmonary artery visibility between the control and observation group ( P > 0.05). The subjective scores for image noise in observation group 2 and group 3 were higher than those in the control group ( U =598.50, 654.00, P < 0.05). The presence of artifacts due to sclerosis in the superior vena cava was significantly lower in the observation group compared to the control group ( χ2 = 46.09, P < 0.001). Conclusions:The combination of auto-prescription technique with ASIR-V reconstruction algorithm and low contrast agent imaging protocol can reduce the radiation dose and contrast agent dose without compromising image quality, and enable personalized double low CTPA imaging.

Colorectal cancer is one of the most prevalent malignant tumors in the digestive system globally,with both its incidence and mortality showing an upward trend.In recent years,immunother-apy has become a research focus in the prognosis of CRC.Different states of tumor-infiltrating lym-phocytes(TILs)in patients have distinct impacts on tumor progression.The diversity of TILs and their interactions among cells reflect the complex relationship between tumors and the immune system.Patients with mismatch repair-deficient and microsatellite instability-high(dMMR/MSI-H)molecular phenotypes exhibit higher levels of TILs.Moreover,immune checkpoint inhibitors(ICIs),which are relevant targeted drugs for immune checkpoint blockade,also demonstrate a higher response rate in colorectal cancer patients with dMMR/MSI-H molecular phenotypes.This article reviewed the basic characteristics and prognostic value of TILs,as well as the relationship between dMMR/MSI-H and the immunological characteristics of colorectal cancer patients.

Objective To explore the application value of deep learning image reconstruction(DLIR)algorithm combined with a large reconstruction matrix in lung nodules screening using low-dose computed tomography(LDCT)of the chest.Methods Patients who underwent LDCT scans were prospectively enrolled.The control group(group A)used the iterative reconstruction(IR)algorithm(Karl)with a reconstruction level of Karl 5,reconstructed images of 512×512(group A1)matrix,and 1 024 × 1 024(group A2)matrix.The experimental group employed DLIR combined with 512×512(group B)matrix and 1 024 × 1 024(group C)matrix for image reconstruction at levels 1-5,which were recorded as groups B1-5 and groups C1-5.The CT values and standard deviation(SD)values of the lung parenchyma and tracheal air were measured,and the signal-to-noise ratio(SNR)was calculated.The overall lung image quality was scored on a Likert 5-point scale,and the subgroup with the best lung image quality was selected.The lung nodule detec-tion rate and clarity were compared with group A1.Results Under the same reconstruction matrix,the CT values of the tracheal air and lung parenchyma in the experimental group showed no significant difference compared to the control group,while the SD values were lower and SNR were higher(P＜0.05).Within groups B and C,as the DLIR level increased,the SD values of the tracheal air and lung paren-chyma gradually decreased,and SNR gradually improved(P＜0.05).Subjective scores for the image quality in groups B and C initially increased and then decreased,with group B3 and group C4 showed the best image quality.No difference was observed in objective eval-uation between the two groups,but the subjective image quality score of group C4 was superior to group B3(P＜0.05).Subjective eval-uation of lung nodule display in group C4 was better than in group A1(P＜0.05).Conclusion DLIR algorithm combined with a large reconstruction matrix is feasible for lung nodules screening in chest LDCT,reducing image noise while improving lung nodules clarity,demonstrating significant clinical value.

Objective:To explore the application value of the double-low technique of auto-prescription technique combined with iterative reconstruction algorithm in CT pulmonary angiography (CTPA).Methods:A total of 86 patients who were clinically suspected of having pulmonary embolism and underwent CTPA examination in the First Affiliated Hospital of Dalian Medical University were prospectively collected and randomly assigned to a control group ( n = 45) and an observation group ( n = 41) according to the random number table method. In the control group, a tube voltage of 120 kVp was used with a standard iodine contrast agent dose of 60 ml, and images were reconstructed using the 40% adaptive statistical iterative reconstruction algorithm (ASIR-V). In the observation group, the tube voltage was set by auto-prescription technique, and 0.4 ml/kg of personalized low iodine contrast agent was used. Images were reconstructed with 40%, 60%, and 80% ASIR-V, respectively, and designated as observation 1, observation 2, and observation 3 respectively. The volume CT dose index (CTDI vol), dose-length product (DLP), and effective dose ( E) were recorded and compared among the four groups. The CT values and standard deviation (SD) of the main pulmonary artery, left and right pulmonary arteries, as well as the left and right pulmonary lobe arteries were measured, and the signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) of these arteries were calculated. Additionally, the SD value at the contrast medium concentration in the superior vena cava was measured, and the artifact index (AI) was subsequently calculated. Two observers independently assessed the visibility of the pulmonary arteries, image noise, and sclerosis artifacts in the superior vena cava using a blinded method. Results:The E in the observation group was 3.28 (2.08, 3.93) mSv, which was significantly lower than that in the control group [5.03 (4.86, 5.20)] mSv, and the difference was statistically significant ( Z = 174.00, P < 0.05). The contrast agent dosage in the observation group was 28 (25, 30) ml, which was lower than that in the control group (60 ml), and the difference was statistically significant ( Z = 0, P < 0.05). The CT values for the main pulmonary artery and the left and right pulmonary lobe arteries in the observation group were higher than those in the control group, and the differences were all statistically significant ( t = -3.65 to -3.89, P < 0.05). The SNR and CNR of the observation groups 2 and 3 were greater than those of the control group ( t = -9.20 to -2.98, P < 0.05). The consistency of subjective evaluations between the two observers was good ( Kappa = 0.729 - 0.879, P < 0.05). There was no statistically significant difference in the subjective score of pulmonary artery visibility between the control and observation group ( P > 0.05). The subjective scores for image noise in observation group 2 and group 3 were higher than those in the control group ( U =598.50, 654.00, P < 0.05). The presence of artifacts due to sclerosis in the superior vena cava was significantly lower in the observation group compared to the control group ( χ2 = 46.09, P < 0.001). Conclusions:The combination of auto-prescription technique with ASIR-V reconstruction algorithm and low contrast agent imaging protocol can reduce the radiation dose and contrast agent dose without compromising image quality, and enable personalized double low CTPA imaging.

Objective To explore the application value of deep learning image reconstruction(DLIR)algorithm in low-dose deep inferior epigastric artery(DIEA)computed tomography angiography(CTA).Methods A total of 59 patients undergoing DIEA CTA were prospectively selected and randomly divided into two groups:group A(29 cases)and group B(30 cases).Group A was the conventional radiation dose group(tube voltage 120 kVp),the tube current was dose modulation 3,and the iterative reconstruction algo-rithm was Karl 5.Group B was the low radiation dose group(tube voltage 120 kVp),the tube current was dose modulation 2,with DLIR reconstruction algorithm,and four levels of DLIR(1-4)were reconstructed and labeled as groups B1 to B4.The mean tube current,vol-ume CT dose index(CTDIvol),and dose length product(DLP)of group A and group B were recorded,and the effective dose(ED)was calculated.The CT and standard deviation(SD)values of the external iliac artery and psoas major muscle were measured on axial images of each group,and signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)were calculated.Two observers using double-blind method independently evaluated the DIEA on volume rendering(VR)and maximum intensity projection(MIP)images of each group using a 3-point scale,and a 5-point scale was used to evaluate the overall image quality on axial images.Results Compared with group A,the mean tube current and ED in group B were decreased by 39.33％and 44.09％,respectively(P＜0.05).With the increasing of DLIR level from groups B1 to B4,the SD value of the image gradually decreased,while SNR and CNR gradually increased(P＜0.05).The CNR in groups B3 and B4 was higher than that in group A(P＜0.05).The subjective scores of the two observers were consistent(Kappa value 0.779-0.889,P＜0.05),and there was no statistical significance between group A and group B in the perforating vessels from the DIEA,intramuscular course,and the point of emergence(P＞0.05).With the increase in DLIR level,the subjective score of the overall image quality from group B1 to group B4 showed a trend of first increasing and then decreasing,and the score of group B3 was the highest(4.50±0.51)points,which had no statistical significance compared with group A(4.45±0.51)points(P＞0.05).Conclusion DLIR can effectively reduce the radiation dose of the DIEA CT A scan and ensure the image quality,among which DLIR 3 is the recommended best reconstruction grade.

Objective To explore the application value of 1 024×1 024 reconstruction matrix combined with iterative reconstruc-tion algorithm(Karl)in deep inferior epigastric artery(DIEA)computed tomography angiography(CTA).Methods A total of 40 patients who underwent DIEA CTA were prospectively selected and the original data were reconstructed by grouping.Group A was reconstructed using a conventional 512×512 matrix combined with Karl 5 grade.Group B was reconstructed using 1 024×1 024 recon-struction matrix combined with Karl 5,7,and 9 grades,respectively,and 3 subgroups B1-B3 were obtained.The CT and standard devia-tion(SD)values of the external iliac artery and psoas major muscle were measured on axial images,and signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)were calculated.A 3-point scale was used to evaluate the perforating vessels from the DIEA,intramuscular course,point of emergence,superficial inferior epigastric artery(SIEA)and superficial inferior epigastric vein(SIEV)on volume ren-dering(VR)and maximum intensity projection(MIP)images by two observers,and a 5-point scale was used to evaluate the overall image quality on axial images.Results With the increase of Karl grade in groups B1 to B3,the SD value of the external iliac artery decreased gradually(P＜0.05),while SNR and CNR increased gradually(P＜0.05).The SD values of the external iliac artery in group B2 and group B3 were lower than those in group A(P＜0.05),and SNR and CNR were higher than those in group A(P＜0.05).There was a good consistency in the subjective evaluation between the two observers(Kappa values=0.773-0.872,P＜0.05).The perforating vessels from the DIEA,intramuscular course,point of emergence,SIEA and SIEV display and overall image quality subjective scores of group B2 and group B3 were better than those of group A(P＜0.05),and the scores of group B2 showed the greatest improvement.Conclusion The 1 024 × 1 024 reconstruction matrix combined with the Karl 7 reconstruction algorithm can optimize the image quality and improve the display of the DIEA and perforator microvessels.

Objective To investigate the clinical application value of posterior adaptive statistical iterative reconstruction-Veo(ASIR-V)algorithm combined with full-field organ dose modulation(ODM)technique in low-dose computed tomography urography(CTU).Methods Ninety patients who underwent urological contrast-enhanced and CTU examination were prospectively selected and divided into conventional dose group(group A,NI=11,posterior ASIR-V of 60％),low-dose group(group B,NI=15,posterior ASIR-V of 60％-100％with 10％interval,denoted as B1-B5 groups);full-field ODM low-dose group(group C,NI=15,posterior ASIR-V of 60％-100％with 10％interval,denoted as C1-C5 groups)according to the noise index(NI).The volume rendering(VR)and maximum intensity projection(MIP)images were reconstructed.The CT values and standard deviation(SD)values of the renal cortex and para-spinal muscles were measured,and the signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)were cal-culated.The CT values of the renal pelvis,ureter,and bladder were measured,and the SNR and CNR were calculated with the para-spinal muscles as background.The subjective score was performed on the two-dimensional and three-dimensional images to evaluate the ability of CTU to display lesions.The volume CT dose index(CTDIvol),dose length product(DLP),and effective dose(ED)of the three groups were compared.Results The bladder SNR and CNR of groups B1,C1,and C2 were lower than those of group A(P＜0.05).There was no statistically significant difference in the SNR and CNR of each tissue between groups B2,C3 and group A(P＞0.05).The SNR and CNR of each tissue in groups B4,B5,and C5 were higher than those in group A(P＜0.05).The display rate of lesions in urinary system in groups B2 and C3 could reach 100％.There was no statistically significant difference in the axial image scores between groups B2,C3 and group A(P＞0.05),while the VR and MIP image scores in each group were comparable to those in group A(P＞0.05).The CTDIvol of groups A,B and C were(6.08±2.11)mGy,(3.15±1.15)mGy,and(2.9±0.92)mGy,respectively.Conclusion CTU using the full-field ODM technique combined with posterior 80％ASIR-V can reduce the CTDIvol by 52.30％,and further reduce by 7.93％compared with group B,which is effective to reduce radiation to the gonads.

Objective To study the effect and mechanism of paeonol(PAE)on renal interstitial fibrosis in rats.Methods The rats were randomly divided into sham operation(Sham)group,unilateral ureteral obstruction(UUO)group,PAE low dose(PAE-L)group,PAE medium dose(PAE-M)group,PAE high dose(PAE-H)group and irbesartan(IRB)group.Except for the Sham group,the UUO model was established in other groups.Each group was given a corresponding intervention for two weeks.Serum creatinine(Scr),blood urea nitrogen(BUN),serum 8-hydroxydeoxyguanosine(8-OHdG)levels,renal tissue superoxide dismutase(SOD),glutathione peroxidase(GPX)activities,α-smooth muscle actin(α-SMA),type Ⅰ collagen(Col-Ⅰ),fibronectin(FN),silent information regulator 1(SIRT1),nuclear factor E2-related factor 2(Nrf2)protein expression were detected;observe pathological changes of kidney tissue and calculate collagen volume fraction(CVF).Results Compared with the UUO group,the serum levels of Scr,BUN,and 8-OHdG in each dose group of PAE were decreased,the activities of SOD and GPX in kidney tissue were increased,the positive expressions of α-SMA,Col-Ⅰ and FN in kidney tissue were decreased,and the protein expressions of SIRT1 and Nrf2 were increased.Masson staining showed a decrease of CVF in renal tissue(all P<0.05),and HE staining showed a different degree of improvement in pathological changes such as inflammatory cell infiltration and tubular dilatation in renal tissue;PAE improves renal interstitial fibrosis in rats in a dose-dependent manner(P<0.05),and the effect of large dose PAE on renal interstitial fibrosis in rats was similar to that of IRB.Conclusion PAE can alleviate UUO-induced rat renal interstitial fibrosis and oxidative stress,and improve rat renal function.And this mechanism may be related to the activation of the SIRT1/Nrf2 signaling pathway.

Objective:To explore the effects of the auto-prescription technique combined with noise index (NI) and adaptive statistical iterative reconstruction algorithm-veo (ASIR-V) on the radiation dose and image quality in the computed tomographic angiography (CTA) of the deep inferior epigastric artery (DIEA).Methods:The data of 150 cases who underwent DIEP CTA in the First Affiliated Hospital of Dalian Medical University were prospectively collected, and were randomized into groups A, B, and C, with 50 cases in each group. For group A, the conventional tube voltage was 120 kVp, and images were reconstructed using 40% ASIR-V. For group B, the tube voltage based on the auto-prescription technique was adopted, and images were reconstructed using 40%, 60%, and 80% ASIR-V (corresponding to the three subgroups B1-B3, respectively). For group C, the tube voltage based on the auto-prescription technique was employed, NI = 13, and images were reconstructed by 40%, 60%, and 80% ASIR-V (corresponding to subgroups C1, C2, and C3, respectively). Subsequently, the CT and SD values of the originating femoral artery of DIEA and the rectus abdominis at the same level as DIEA were measured on axial images of each group, the signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were calculated, and the radiation doses of the three groups were recorded. Finally, the image quality and noise of DIEA in each group were independently and subjectively scored by two radiologists in a blinded manner.Results:Compared to group A, groups B and C exhibited higher CT values of femoral artery ( t= -5.18, -5.17, -5.06, -6.08, -6.08, -6.07, P < 0.05) and higher image SNR and CNR ( P < 0.05), which increased gradually with the upgrading of ASIR-V ( F = 55.45, 49.70, 53.47, 68.89, P < 0.05). The two radiologists offered consistent subjective evaluations (Kappa = 0.76-0.92, P < 0.05). The images of groups B and C displayed more distinct perforating branches and emerging points of DIEA and received higher subjective scores of intramuscular course compared to those of group A. The subjective scores of image noise in subgroups B2, B3, and C2 were not significantly different from those in group A. The radiation doses in groups B and C decreased by 15.10% and 52.85%, respectively compared to those in group A ( H = 75.21, P < 0.05). Conclusion:The combination of the auto-prescription technique with NI = 13 and 60% ASIR-V can reduce the radiation dose by 52.85% while ensuring a clear display of DIEA.