Background Limited research has evaluated imaging results following a combination of operations for recurrent patella dislocation (RPD) based on medial patellofemoral ligament (MPFL) reconstruction. Therefore, this study aimed to retrospectively compare the imaging and clinical results of RPD following 2 types of combined surgical techniques. Methods Patients who underwent combined surgery for RPD from January 2008 to December 2019 were enrolled in the study and allocated into 2 groups. MPFL reconstruction combined with lateral retinacular release (LRR) was performed in groups A and B, and an additional tibial tuberosity transfer (TTT) was performed in group B only. Patients in group A with a tibial tuberosity trochlear groove (TT-TG) distance greater than 15 mm were included in subgroup A*. Congruence angle (CA), patellar tilt angle (PTA), lateral patellofemoral angle (LPA), lateral patellar displacement (LPD), TT-TG, Insall-Salvati Index (ISI), the Dejour type of trochlear dysplasia, and knee function were assessed. All groups were followed up in the short-term (1–2 years), and group B was also followed up in the mid-term (over 5 years). Results A total of 40 knees (36 patients) were included in group A, 26 knees (24 patients) in subgroup A*, and 27 knees (26 patients) in group B. In group A, CA, PTA, and LPD had increased at the short-term follow-up, yet LPA had decreased compared to the results 3 days after surgery. In group B, at the mid-term follow-up, PTA (12.54±6.88 vs. 15.23±6.10; P=0.002) increased while LPD (7.08±6.48 vs. 4.69±6.28; P=0.049) decreased compared with the short-term outcomes. The more severe the femoral trochlear dysplasia, the lower the mid-term Kujala scores in group B (P=0.007). The short-term TT-TG (17.32±4.288 vs. 12.84±3.758; P<0.001) and ISI [1.25 (1.1075, 1.300) vs. 1.06 (1.00, 1.16); P<0.001] in group B were lower than those in group A, who had a higher Kujala score (P<0.001). The CA, LPD, ISI, TT-TG, and Kujala score in subgroup A* were higher than those in group B at the short-term follow-up (P<0.05). Conclusions Both types of combination treatments were successful in altering the patellofemoral joint in a satisfactory manner, and the knee function improved in both groups. A TTT might not be necessary for patients with a TT-TG distance greater than 15 mm.
Carbon monoxide(CO)poisoning is one of the common accidental poisonings in clinic.Due to high metabolism and energy demand,the central nervous system is the most vulnerable structure in acute carbon monoxide poisoning(ACMP)patients.The direct symptoms caused by ACMP-induced brain injury occur immediately after exposure.It can persist,or it may develop delayed encephalopathy after acute carbon monoxide poisoning after recovery with a lucid interval,which involves complex pathophysiological mechanisms and seriously affects the quality of life of patients.With the development of magnetic resonance technology,the pathogenesis,pathophysiological changes,and neuroimaging patterns of ACMP-induced brain injury have been further studied.In this article,the application status of new magnetic resonance technology in ACMP-induced brain injury was reviewed,and the future research direction was prospected.
Purpose:To investigate the application of digital subtraction angiography(DSA)image overlay technology assisted by hepatic artery mark in guiding transjugular intrahepatic portal systemic shunt(TIPS)puncture.Methods:A retrospective analysis was conducted in patients undergoing TIPS in our hospital.The patients were divided into ultrasound guided group(ultrasound guided TIPS puncture)and new procedure group(DSA image overlay technology assisted by hepatic artery mark guided TIPS puncture).The subjects were compared in terms of portosystemic shun puncture time,puncture times,surgical time,and surgery related clinical indicators.Results:Forty-eight patients were included in the study.Compared with the ultrasound guided group,the puncture time(P＜0.001)and surgical time(P=0.018)in the new technology group were significantly reduced.In both groups,postoperative aspartate aminotransferase,B-type natriuretic peptide,and portal vein pressure were significantly decreased.In the new technology group,total bilirubin(P=0.004),alanine aminotransferase(P=0.022)were significantly reduced.Conclusion:DSA image overlay technology assisted by hepatic artery mark can be used to guide TIPS puncture effectively by shortening surgical time and puncture time.
Purpose:To explore the correlation among type 2 diabetes mellitus(T2DM),fasting blood glucose(FPG),glycosylated hemoglobin(HbAlc),blood glucose control,different glucose control methods and the progression of white matter hyperintensity(WMH)in elderly patients.Methods:This retrospective cohort study included patients with or without T2DM who visited the affiliated hospital of Xuzhou medical university and underwent two times brain MRI scans from May 2013 to March 2022.Conventional structural MR1 and clinical data were collected.Multiple linear regressions were used for evaluating the effects of FPG,HbAlc,glycemic control and different glucose-control treatments on WMH progression.Results:Three hundreds and ninety-four subjects were included,with 175 and 219 patients in the diabetic and non-diabetic groups,respectively.The baseline WMH volume and annual change in WMH volume(△WMH/y)in the non-diabetic group were lower than those in the diabetic group(all P＜0.05).HbAlc was significantly related to WMH burden and △WMH/y after adjustment for different models.In diabetic individuals,WMH progression was mainly affected by glycemic control(P＜0.05),but not by the way of glycemic control(P＞0.05).The poor glycemic control group was with significantly higher △WMH/y than both the well glycemic control and non-diabetic groups(all P＜0.05),whereas there was no significant difference between the well glycemic control and non-diabetic groups(P＞0.05).Conclusion:T2DM is associated with WMH progression,and HbAlc is a marker for that progression.Well glycemic control is very important,no matter how to control,as it may postpone the progression of WMH.
Purpose:To investigate the clinical symptoms and imaging characteristics of hereditary diffuse leukoencephalopathy with spheroids(HDLS).Methods:The clinical and imaging data of 14 patients with HDLS treated in Ruijin Hospital were retrospectively analyzed.Results:The mean age of onset was(38.43±6.80)years in 14 patients with HDLS,and the most common clinical symptom was progressive cognitive hypoacusis.The main abnormal MRI findings were white matter lesions around the lateral ventricles,atrophy of the corpus callosum and diffusion restriction on DWI.Conclusion:HDLS has a diverse clinical presentation and is easily misdiagnosed.High intensity DWI signal in the white matter of the diseased brain,atrophy of the corpus callosum,and degeneration of the white matter around the lateral ventricle suggests the possibility of HDLS and might be helpful for the early diagnosis of HDLS.
Purpose:To evaluate the diagnostic value of ultra-high b value diffusion-weighted imaging(DWI),intravoxel incoherent motion(IVIM)model and kurtosis model in differentiation between transition zone(TZ)prostate cancer and stromal hyperplasia nodules.Methods:Fourteen patients with TZ prostate cancer and 23 patients with stromal hyperplasia who were pathologically confirmed by prostate biopsy were retrospectively analyzed.All patients underwent preoperative ultra-high b-value DWI,IVIM and kurtosis models.The apparent diffusion coefficient(ADC),molecular diffusion coeficient(D),perfusion fraction(f),pseudo-diffusion coefficient(D*),mean kurtosis(MK)and mean diffusivity(MD)values were calculated and compared between the two groups.Receiver operating characteristic(ROC)curve analysis and areas under the ROC curve(AUC)were carried out for all parameters.Results:Compared to stromal hyperplasia nodules,the ADC,MD,D and f values of TZ prostate cancer were significantly reduced(P＜0.001,P＜0.001,P＜0.001,and P=0.001,respectively),while the MK value was significantly increased(P＜0.001).There was no statistical difference in D*(P＞0.05)between TZ prostate cancer and stromal hyperplasia nodules.The AUC of ADC and MK+MD showed significantly higher value than D and f(P＜0.05).The AUC of MD was significantly higher than D(P＜0.05).The AUC of other parameters was with no statistical difference(P＞0.05).Conclusion:The ultra-high b-value DW1 with IVIM,and kurtosis models are all useful for the differentiation of prostate cancer from stromal hyperplasia nodule in the transition zone,and the ADC and MK+MD parameters are with better performance than IVIM-derived parameters.
Purpose:To investigate the effect of oral pinaverium bromide tablets and isotonic mannitol on improving the quality of 18F-fluorode-oxyglucose(,8F-FDG)positron emission tomography and computed tomography(PET/CT)intestinal imaging.Methods:A total of 180 patients who underwent 18F-FDG PET/CT scans between March and July 2022 were randomly assigned to three groups,each of which consisted of 60 patients:the control group(oral water),the test 1 group(oral isotonic mannitol),and the test 2 group(oral pinaverium bromide tablets and isotonic mannitol).Every group had a standard PET/CT scan.The degree of intestinal canal fullness,dilatation,physiological uptake,and overall picture quality were compared across the three groups using the Kruskal-Wallis test and Mann-Whitney test,and the incidence of adverse reactions was examined using thex2test.Results:In terms of fullness,dilatation,physiological uptake,and overall image quality of the small bowel,the test 2 group significantly outperformed the control group(z=-5.858,z=-4.987,z=-7.343,z=-7.282,all P＜0.05),while the test 1 group did not differ statistically from the control group(z=-1.203,z=-1.533,z=-1.669,z=-1.758,all P＞0.05).In terms of the degree of colorectal dilatation and physiological uptake,the test 2 group was better than the control group(z=-7.500,z=-5.249,both P＜0.05)and the test 1 group(z=-3.162,z=-3.451,both P＜0.05);the degree of colorectal filling in the test 2 group was better than the control group(z=-9.455,P＜0.05),and the difference with the test 1 group was with no statistical significance(z=-0.680,P＞0.05).The overall image quality of colorectum in test 2 group was better than that in the control and test 1 groups(z=-8.264,z=-3.130,both P＜0.05).The incidence of post-examination diarrhea was higher in the test 1 and test 2 groups than that in the control group(x2=12.842,P＜0.05),and the difference between the test 1 and test 2 groups was with no statistical significance(P＞0.05).Conclusion:Taken pinaverium bromide tablets and isotonic mannitol solution prior to an 18F-FDG PET/CT scan will promote intestine fullness and dilatation,reduce intestinal physiological uptake,improve overall image quality,and help in the detection of lesions.
Purpose:To evaluate the diagnostic value of the perfusion and metabolism parameters in the infection after internal fixation of lower limb fracture by combining the early dynamic 18F-fluorode-oxyglucose(18F-FDG)positron emission tomography and computed tomography(PET/CT)and conventional static imaging.Methods:A total of 40 patients[28 males,12 females,with an average of(40.0±14.0)years]were included in this prospective study.The final diagnosis was made by the pathology and bacterial culture results.The early dynamic 18F-FDG PET/CT was used to acquire time activity curve(TAC)and dynamic imaging data,including peak early dynamic(ED)SUVmax,time to peak and rate-to peak ED SUVmax.The SUVmax of fracture point and the target-to-background ratio(TBR)was obtained by the conventional 18F-FDG PET/CT.The ED SUVmax and SUVmax cutoff value in detection of the infection after internal fixation of lower limb fracture was determined by the ROC curve,and the diagnostic efficiencies were calculated.Results:In the early dynamic imaging,the ED SUVmax of the lower limb post internal fixation operative infection was 5.3(4.1,8.0),which was significantly higher than that of 4.0(3.0,5.5)for the malunion group,respectively(P＜0.05).Infections groups showed time to peak was shorter than the malunion group.The TAC of the infection group showed that ED SUVmax declined after the peak,while the malunion groups rose continuously without declining.In the conventional static imaging,the SUVmax and TBR of the infection after internal fixation of lower limb fracture were 11.2(6.0,14.0)and 4.97(2.90,7.30),which were also significantly higher than that of malunion group[4.80(3.25,7.05)and 2.80(2.39,4.00),respectively](P＜0.05).The cutoff values were 6.5 and 8.1 for the ED SUVmax and conventional SUVmax to diagnose the infection after internal fixation of lower limb fracture.The diagnostic sensitivity were 42.1％and 63.2％,and the specificity were 100％and 90.5％.Conclusion:There was no significant difference in the diagnostic performances between the early dynamic 18F-FDG PET/CT and conventional 18F-FDG PET/CT in detecting the infection after internal fixation of lower limb fracture.The TAC curve and time to peak from the early dynamic 18F-FDG PET/CT could help to confirm the diagnosis of the infection after internal fixation of lower limb fracture.
Purpose:To investigate the clinical manifestations,imaging features and prognosis of gangliogliomas(GG).Methods:A retrospective analysis was performed on the children with GG confirmed by surgical pathology results from February 2019 to July 2021.Data collected included demographics,imaging findings,surgical and pathological details,and follow-up information.Results:A total of 9 children aged 9 months to 12.5 years were included,with a male to female ratio of 2∶1.The location of the tumor was temporal in four cases,cerebellar in two cases,and temporoparietal,occipital and parietal in one case,respectively.All enrolled children were treated surgically and survived until recent follow-up,but clinical improvement was more pronounced in children with total resection than those with subtotal resection.Conclusion:CT and MRI findings of GG have certain characteristics,and the contrast enhanced scan and diffusion weighted imaging play an important role in the diagnosis of GG.The total resection is the best treatment for GG;yet compared to hemispheric tumors,even total resection of infratentorial GG does not lead to remarkable improvement of clinical symptoms.
Purpose:To investigate the correlation between aneurysm wall enhancement(AWE)and morphology in single unruptured intracranial aneurysm(UIA).Methods:Eighty-five patients with single UIA diagnosed by CT angiography(CTA)in our hospital were collected,and were divided into non-enhancement group(n=38)and enhancement group(n=47)according to the high-resolution MR vessel wall imaging.The location of aneurysms,the presence of sacs and lobules,and the morphological parameters of aneurysms were measured on CTA,including diameter,neck width,aspect ratio(AR),and size ratio(SR).The differences of the parameters of single UIA between the two groups were compared,and the relationship between the wall enhancement of single unruptured intracranial aneurysm and its morphology was analyzed.Results:There were significant differences in the constituent ratio,diameter,AR value and SR value of lobules and sacs between the non-enhancement group and the enhancement group(P＜0.05).In the multivariate logistic regression analysis,the diameter of intracranial aneurysm,AR value and the composition ratio of lobulation and sacs were independent risk factors for aneurysm wall enhancement.The optimal cut-off value of diameter was 6.76 mm,and the optimal cut-off value of AR value was 1.15.Conclusion:The diameter of intracranial aneurysm,AR value and the ratio of lobulation and asci are independent risk factors for intracranial aneurysm wall enhancement.Intracranial aneurysm wall enhancement may be a risk factor for intracranial aneurysm rupture.
Purpose:To explore the characteristics of automated breast volume scanning(ABVS)of invasive ductal carcinoma(IDC)of the breast and its correlation with different molecular classifications.Methods:The preoperative ABVS characteristics of 160 pathologically confirmed IDC patients who were hospitalized in our hospital from January 2020 to October 2021 were retrospectively analyzed,and the correlation between them and different molecular types was evaluated.Results:The ABVS characteristics of 176 lesions were as follows:61(34.65％)tumors with a size ≥2 cm,115(65.34％)with a size less than 2 cm,23(13.07％)with clear boundaries,153(86.93％)with unclear boundaries,161(91.48％)with low echo,15(8.52％)with mixed echo,136(77.27％)with aspect ratio＜1,40(22.73％)with aspect ratio ≥1,153(86.93％)with glitch signs,149(84.66％)with convergence signs,127(68.18％)with ductal signs,138(78.41％)with internal calcifications,147(83.52％)with malignant halos,138(78.41％)with Cooper's ligament changes,132(75.00％)with posterior breast space and fascia changes.The ABVS features of IDC including mass boundary,echo,burr sign,convergent sign,duct sign,internal calcification,malignant halo,Cooper's ligament changes and posterior breast space and fascia changes had certain correlation with different molecular types of IDC(P＜0.05),and there was no statistical difference between the size and aspect ratio of the tumor displayed on ABVS(P＞0.05).Conclusion:ABVS has certain advantages in the detection of IDC lesions,and there is a certain correlation between the ABVS characteristics and the molecular typing of IDC.
Purpose:To explore the optimal monoenergetic level for the observation of carotid artery in-stent lumen by dual-energy CT(DECT).Methods:Forty patients with 51 stents after carotid artery stenting(CAS)who underwent carotid artery CTA examinations by DECT between January 2018 and December 2022 at Renji Hospital were enrolled in the study.Conventional and virtual monoenergetic images(VMI+)in the range of 40-190 keV with an interval of 10 keV were reconstructed.The signal to noise ratio(SNR),contrast to noise ratio(CNR)and noise value were measured.Subjective evaluation of image quality was performed using a 5-grade method.Spearman correlation analysis was used to explore the correlation between energy levels and SNR or CNR.Kruskal-Wallis H rank-sum test was used for the overall analysis between groups,and Dunn-Bonferroni test was used for pairwise comparison within groups.Friedman test was used to compare the differences in the subjective evaluation of image quality in each group.Results:There were significant differences in SNR and CNR among conventional CT images and 40-190 keV VMI+images(P＜0.001).The SNR and CNR of 40 keV images were superior to those of conventional CT images and 60-190 keV VMI+images(P＜0.05).The energy level of 40-190 keV VMI+was negatively correlated with SNR and CNR(SNR:r=-0.763,P＜0.001;CNR:r=-0.696,P＜0.001).The SNR and CNR of 40-50 keV VMI+images were superior to those of conventional CT images(P＜0.001).There were significant differences in noise value among conventional CT images and 40-190 keV VMI+images(P＜0.001).The noise values of 40 keV images were higher than those of conventional CT images and 50-190 keV VMI+images(P＜0.001).The noise values of 40-50 keV VMI+images were superior to those of conventional CT images(P＜0.05).The overall difference in subjective image quality scores among conventional CT images and 40-190 keV VMI+images was with statistical significance(P＜0.001),of which the subjective image quality of 40 keV VMI+was superior to those of 80-190 keV VMI+images(P＜0.001).There were no significant differences in subjective scores between conventional CT images and 40-70 keV VMI+images(P＞0.05).Conclusion:Monoenergetic images at 40 keV is recommended as the optimal level for the observation of carotid artery in-stent lumen.
Purpose:To investigate the clinical value of machine learning in predicting osteoporosis based on demographic and routine biochemical indicators.Methods:The demographic and routine biochemical indicators of 2053 healthy subjects(906 females and 1 147 males)over 50 years who underwent low-dose CT scans were retrospectively analyzed.Diagnosis of osteoporosis is based on volumetric bone mineral density concluded from quantitative CT.The subjects were divided into training set and test set in a ratio of 7∶3.Five different algorithms were used to build the model,including logistic regression,support vector machine,decision tree,random forest and multilayer perceptron.Results:In women,the random forest was the best model in both training(AUC=0.90)and test set(AUC=0.80),with age as the most important feature,followed by alkaline phosphatase,triglycerides,and body mass index.In men,the logistic regression performed best in the test set(AUC=0.81),and the importance of demographic characteristics was higher than that of routine biochemical indicators.Conclusion:The sex-specific machine learning model based on demographic and routine biochemical indicators provides a possibility for osteoporosis screening in clinical scenarios such as physical examination.
Purpose:To investigate the value of a machine learning model for predicting axillary lymph node metastasis in breast cancer based on the intratumoral and peritumoral radiomics features of dynamic contrast enhancement magnetic resonance imaging(DCE-MRI).Methods:A total of 215 patients with pathologically confirmed breast cancer with corresponding axillary lymph node status were retrospectively collected from June 2018 to August 2022,including 117 patients with positive axillary lymph node metastasis and 98 negative cases.All 215 patients were divided into training set and validation set with a ratio of 7∶3 by complete randomization method.Pearson correlation coeffiicients(PCC),max-relevance and min-redundancy(mRMR),least absolute shrinkage and selection operator(LASSO)were used for dimensional reduction of radiomics data in the training set.Logistic regression(LR),random forest(RF),support vector machine(SVM),K-nearest neighbor(KNN),decision tree(DT)and linear discriminant analysis(LDA)were used to establish the radiomics prediction model.Area under the ROC curve(AUC)was used to evaluate the efficacy of the model.Results:Based on the prediction model constructed by intratumoral combined peritumoral radiomics,the AUCs of classifiers of LR,RF,SVM,KNN,DT and LDA in the training set and validation set were as follows:0.811,0.882,0.816,0.773,0.870,0.829 in the training set,and 0.787,0.824,0.815,0.711,0.727,0.799 in the validation set,respectively.The RF model had the best predictive performance.The intratumoral model(the AUC of training set:0.837;the AUC of validation set:0.599)and peritumoral model(the AUC of training set:0.815;the AUC of validation set:0.764)alone was with lower diagnostic efficacy than the intratumoral combined peritumoral model.Conclusion:The machine learning model based on intratumoral combined peritumoral radiomics features of DCE-MRI has good values in predicting axillary lymph node metastasis of breast cancer,and the RF model has the best predictive ability.
Purpose:To establish an effective recognition model to assist in the recognition of liver ultrasound standard plane(LUSP)images by combing artificial intelligence technology and ultrasound images.Methods:Thirteen sections(14 971 images in total)were collected from patients,including left liver and stomach fundus longitudinal sections,left liver-abdominal aorta longitudinal sections,subhepatic vena cava longitudinal sections,liver and gallbladder longitudinal sections,liver and kidney longitudinal sections,high transverse sections at the level of the second porta hepatis,median transverse sections at the level of the first porta hepatis,low transverse sections at the level of the hepatopancreas,high oblique transverse sections of the second porta hepatis,median oblique transverse sections of the first porta hepatis,low oblique cross sections at the level of gallbladder and kidney,long-axis views of the first hepatic portal vein,and 6th and 7th intercostal oblique longitudinal sections.11 980 images were used for deep convolutional neural network(Deep CNN)model building and 2 991 images were used for model validation.The LUSP images judged by three long-term experts in liver ultrasound examination and diagnosis were used as the standard to compare against.The recognition of LUSP between this model and the VGG16 model was compared.Results:(1)The Deep CNN model achieved an accuracy of 0.892 in identifying different liver ultrasound standard sections.(2)The Deep CNN model showed similar overall experimental performance to the VGG16 model,while more types of sections could be identified(P＞0.05).Conclusion:The Deep CNN model can be used to effectively classify different LUSP images,and has high value for ultrasound physicians to identify LUSP and assist in diagnosis of liver diseases.
Multiple system atrophy(MSA)is a progressive neurodegenerative disease of unknown etiology,affecting multiple systems of the whole body.Neuroimaging techniques play an essential role in the diagnosis and differentiation of MSA.In recent years,diffusion tensor imaging(DTI)has become increasingly important in the diagnosis,treatment,and research of MSA.This article aims to review the application values and research progress of DTI in the diagnosis of MSA,as well as its differentiation from Parkinson's disease and other parkinsonism-plus syndromes.
Purpose:To investigate the correlation between the right ventricular(RV)function evaluated by two-dimensional speckle tracking imaging(2D-STI)and pulmonary arterial stiffness(PAS)in patients with chronic obstructive pulmonary disease(COPD).Methods:Forty-two COPD patients in the General Hospital of Ningxia Medical University from November 2020 to November 2021 were included as the case group;and 32 normal subjects were selected as the control group in the same period.The global RV peak longitudinal strain,and the segmental peak longitudinal strain values of the base,middle and apical segments of the RV free wall and inter-ventricular septum were collected and compared;the pulmonary artery maximum flow velocity(Pv0),pulmonary flow acceleration time(MFS)and PAS were also compared between the two groups.The Pearson correlation analysis was used to analyze the correlation between the 2D RV strain values and parameters of pulmonary arteriosclerosis in patients with COPD.Results:①Pv0,MFS and PAS of the patients in case group were significantly higher than those in the control group,while PAT was significantly lower than that in the control group(P＜0.05).②Compared with the control group,the global RV peak longitudinal strain,the peak longitudinal strains in the base,middle and apical segments of RV free wall,peak longitudinal strains in the basal,middle and apical segments of the septum were significantly decreased in the COPD group(P＜0.05).③ PAS showed a significant negative correlation with the global RV longitudinal strain and longitudinal strains of each segments(r=-0.608,-0.486,-0.476,-0.309,-0.535,-0.449,-0.388,all P＜0.05).Conclusion:2D-STI technique could detect subclinical RV dysfunction in COPD patients;PAS was increased in COPD patients,and showed negative correlation with the global and segmental RV peak longitudinal strain,indicating that PAS might has adverse influence on the RV function in COPD patients.
Purpose:To explore the typical CT signs of strangulated small bowel obstruction,and to screen the important signs of surgical treatment by using the predictive modeling of small bowel obstruction and its characteristic correlation study.Methods:One hundred patients diagnosed with small bowel obstruction in our hospital from January 2016 to October 2021 were divided into strangulation small bowel obstruction group(n=20)and non-strangulation small bowel obstruction group(n=80)according to surgical results.Imaging and clinical data of all patients were collected.The distribution difference of different CT signs between the two groups was analyzed by predictive modeling of small bowel obstruction and stenosis.Combined diagnosis was made according to the difference and logistic regression,and the CT diagnosis combination with high diagnostic value was screened.Results:Among 100 patients,there were statistical significant differences in the distribution of mesenteric edema,intestinal wall thickening,and increased or decreased intestinal wall density between the two groups(P＜0.05).Conclusion:The prediction modeling method of small bowel obstruction and its characteristic correlation study have certain diagnostic value in the diagnosis of strangulated small bowel obstruction by CT plain scan.
Purpose:To investigate the effects of low-dose CT and different low-dose scanning protocols on artificial intelligence(Al)detection efficacy and CT radiomics features of pulmonary nodules.Methods:Artificial spherical nodules of 4 sizes(5 mm,8 mm,10 mm,12 mm in diameter)and 2 densities(100 HU,-630 HU)were randomly placed in the simulated chest phantom.Conventional scan(group A:120 kV+200 mA)and low-dose scan(group B:120 kV+50 mA in group Bl,100 kV+90 mA in group B2)were applied to the phantom with uCT760.Bone filtering(B_SHARP_C)was used in each group,and the reconstruction slice thickness was 1 mm.The reconstructed images were transmitted to the Al-aided diagnosis system for automatic detection of pulmonary nodules,and the size,density,and volume of nodules were recorded,and the absolute percentage error(APE)of length-diameter and volume measurements was calculated.The regions of interest(ROIs)of lung nodules in group A and B images were manually outlined with 3D-Slicer software,and the pyradiomics platform was used to extract 107 radiomics features for each ROI,including 14 shape features,18 first-order statistics and 75 texture features.One-way ANOVA was used to compare the APE of nodal length-diameter and volume measurement under 3 scanning conditions.The consistency of the radiomics features of lung nodule segmentation results on images obtained with conventional and low dose and different low dose scanning protocols was assessed using the consistency correlation coefficient(CCC).Results:Compared with group A,the effective dose(ED)of Bl and B2 was reduced by 75.0％and 73.3％,respectively.The pulmonary nodules detection rate was 100％in groups A,Bl and B2,with consistent pulmonary nodule characterization and no statistical significant differences in APE for length diameter and volume(P＞0.05).With the increase of CCC threshold,the reproducible histological feature ratios all showed a significant decreasing trend.The first-order statistics and texture features extracted from the low-dose group were less consistent with those of the conventional dose group,while the shape features were more consistent;the first-order statistics and texture features extracted from different low-dose protocol were also less consistent,and the solid nodules were more significant.Conclusion:The results of lung nodule detection by the AI system at low-dose CT were plausible;however,the radiomics features extracted by both low-dose CT and different low-dose scanning protocols were in poor agreement with conventional dose,especially the first-order statistics and texture features.
