Objective To explore the value of virtual touch tissue quantification(VTQ) of acoustic radiation force impulse (ARFI) in the differential diagnosis between benign and malignant thyroid nodules. Methods The ultrasound (US), elastography imaging(EI), and VTQ of ARFI were performed to determine the characteristics and features of 63 thyroid nodules. The pathological diagnosis was the gold standard. According to the receiver operating characteristic curve (ROC) of US, EI, and VTQ, the critical points and diagnostic values of US, EI, and VTQ in diag-nosis of malignant thyroid nodules were achieved. Results Of the 63 nodules, 45 were benign and 18 were malignant. The area under curves of US, EI, and shear wave velocity(SWV) were 0.837(95% CI:0.712-0.962), 0.863(95% CI:0.751-0.974), and 0.900 (95% CI:0.810-0.990) respectively, and all the 3 kinds of technique had diagnostic value(P=0.001), but there were no significant difference among the 3 kinds of technique on the area under curve(P > 0.05). According to the receiver operating characteristic(ROC) curve, the critical point of US in distinguishing benign nodules with malignant nodules was 3 conventional ultrasonography, which displayed a sensitivity of 83.3%, a specificity of 86.7%, and a accuracy of 85.7%. The critical point of EI grades in distinguishing benign nodules with malignant nodules was gradeⅣ, which displayed a sensitivity of 94.1%, a specificity of 82.6%, and a accuracy of 87.3%. The critical value of SWV in distinguishing benign nodules with malignant nodules was 3.39 m/s, which displayed a sensiti-vity of 88.9%, a specificity of 91.1%, and a accuracy of 90.5%. Conclusion US, EI, and VTQ techniques all have diagnostic values in the differential diagnosis between benign and malignant thyroid nodules, and we should make combination with all of the 3 kinds of technique when performing differential diagnosis.
ObjectiveTo study the value of hepatitis B virus surface antigen (HBsAg) in the evaluation of antiviral efficacy and its influencing factors under a complex population background resulting from various nationalities in Xinjiang. MethodsWe retrospectively analyzed patients with chronic hepatitis B (CHB) admitted and administrated with nucleot(s)ide analogues (NAs) for the first time in Traditional Chinese Medical Hospital of Xinjiang Uygur Autonomous Region from January 2012 to August 2013. The biological, virological, and serological responses were analyzed as well as the possible factors related to HBsAg levels and its reduction levels. ResultsThere were 63 CHB patients enrolled. After 48 weeks' treatment, all patients achieved biological response, and 59 of them achieved complete virological response in spite of 4 patients with partial response. In all the 30 hepatitis B virus e antigen (HBeAg) positive patients, 5 achieved HBeAg seroconversion. After correlation and regression analysis, it turned out that the history (P=0.033) and HBeAg levels at week 48 (P<0.001) were independent impact factors for HBsAg level at week 48. And the reduction degree of HBsAg at week 48 was influenced by HBsAg at week 48. In 21 patients counting to week 72 maintaining biological response, 18 achieved complete virological response. Unfortunately, all 8 HBeAg positive patients encountered no HBeAg loss or seroconversion. After correlation and regression analysis, it turned out that HBsAg level at week 72 was influenced by HBsAg at week 48 (r=0.700, P<0.001). And the decline degree of HBsAg at week 72 was related to baseline HBsAg level. ConclusionSatisfactory efficacy can be achieved via NAs treatment in CHB patients. But when HBsAg is used separately as an indicator for therapeutic efficacy, we should be aware that intrahepatic covalently closed circular DNA (cccDNA) is not only the impact factor of HBsAg variation, the history, the variations of HBeAg and HBsAg itself during the treatment should also be considered.
Extraction and analysis of electroencephalogram (EEG) signal characteristics of patients with autism spectrum disorder (ASD) is of great significance for the diagnosis and treatment of the disease. Based on recurrence quantitative analysis (RQA)method, this study explored the differences in the nonlinear characteristics of EEG signals between ASD children and children with typical development (TD). In the experiment, RQA method was used to extract nonlinear features such as recurrence rate (RR), determinism (DET) and length of average diagonal line (LADL) of EEG signals in different brain regions of subjects, and support vector machine was combined to classify children with ASD and TD. The research results show that for the whole brain area (including parietal lobe, frontal lobe, occipital lobe and temporal lobe), when the three feature combinations of RR, DET and LADL are selected, the maximum classification accuracy rate is 84%, the sensitivity is 76%, the specificity is 92%, and the corresponding area under the curve (AUC) value is 0.875. For parietal lobe and frontal lobe (including parietal lobe, frontal lobe), when the three features of RR, DET and LADL are combined, the maximum classification accuracy rate is 82%, the sensitivity is 72%, and the specificity is 92%, which corresponds to an AUC value of 0.781. The research in this paper shows that the nonlinear characteristics of EEG signals extracted based on RQA method can become an objective indicator to distinguish children with ASD and TD, and combined with machine learning methods, the method can provide auxiliary evaluation indicators for clinical diagnosis. At the same time, the difference in the nonlinear characteristics of EEG signals between ASD children and TD children is statistically significant in the parietal-frontal lobe. This study analyzes the clinical characteristics of children with ASD based on the functions of the brain regions, and provides help for future diagnosis and treatment.
Objective Anthropometric variants in prepubertal boys with hypospadias were assigned and assessed to illustrate anatomical malformation. Methods A total of 516 prepubertal (Tanner grade Ⅰ) boys with hypospadias who were admitted to three medical centers between March 2021 and December 2021 and met the selection criteria for primary surgery were selected. The age of the boys ranged from 10 to 111 months, with an average of 32.6 months. Hypospadias were classified according to the location of the urethral defect, 47 cases (9.11%) of the distal type (the urethral defect is in the coronal groove or beyond), 208 cases (40.31%) of the middle type (the urethral defect is in the penis body), and 261 cases (50.58%) of the proximal type (the urethral defect is at the junction or proximal side of the penis and scrotum). The following indexes were measured: penis length before and immediately after operation, reconstructed urethral length, and total urethral length. Morphological indicators of the glans area, including preoperative height and width of glans, AB, BC, AE, AD, effective AD, CC, BB, the urethral plate width of the coronal sulcus, and postoperative height and width of glans, AB, BE, and AD. In which point A is the distal endpoint of navicular groove, point B is the protuberance lateral to the navicular groove, point C is the ventrolateral protuberance of the glans corona, point D is the dorsal midline point of the glans corona, and point E is the ventral midline point of the coronal sulcus. The foreskin morphological indicators, including the foreskin width, inner foreskin length, and outer foreskin length. The scrotal morphological indicators, including the left, right, and front penile to scrotum distance. The anogenital distances, including anoscrotal distance 1 (ASD1), ASD2, anogenital distance 1 (AGD1), and AGD2. ResultsThe penis length of the distal, middle, and proximal types decreased successively before operation, the reconstructed urethral length increased successively and the total urethral length decreased successively, these differences were all significant (P<0.05). The height and width of the glans of the distal, middle, and proximal types significantly decreased successively (P<0.05), but the height/width of the glans was generally close; AB value, AD value, and effective AD value significantly decreased successively (P<0.05); there was no significant difference in BB value, urethral plate width of the coronary sulcus, and (AB+BC)/AD value between the groups (P>0.05). There was no significant difference in the width of glans between the groups after operation (P>0.05); AB value and AB/BE value increased successively, and AD value decreased successively, these differences were all significant (P<0.05). The inner foreskin length in the 3 groups significantly decreased successively (P<0.05), while the outer foreskin length had no significant difference (P>0.05). The left penile to scrotum distance of middle, distal, and proximal types significantly increased successively (P<0.05). ASD1, AGD1, and AGD2 significantly decreased from distal type to proximal type successively (P<0.05). The other indicators’ differences were significant only between some groups (P<0.05).Conclusion The anatomic abnormalities of hypospadias can be described by anthropometric indicators, which can be used as the basis for further standardized surgical guidance.
It is a significant challenge to improve the blood-brain barrier (BBB) permeability of central nervous system (CNS) drugs in their development. Compared with traditional pharmacokinetic property tests, machine learning techniques have been proven to effectively and cost-effectively predict the BBB permeability of CNS drugs. In this study, we introduce a high-performance BBB permeability prediction model named balanced-stacking-learning based BBB permeability predictor(BSL-B3PP). Firstly, we screen out the feature set that has a strong influence on BBB permeability from the perspective of medicinal chemistry background and machine learning respectively, and summarize the BBB positive(BBB+) quantification intervals. Then, a combination of resampling algorithms and stacking learning(SL) algorithm is used for predicting the BBB permeability of CNS drugs. The BSL-B3PP model is constructed based on a large-scale BBB database (B3DB). Experimental validation shows an area under curve (AUC) of 97.8% and a Matthews correlation coefficient (MCC) of 85.5%. This model demonstrates promising BBB permeability prediction capability, particularly for drugs that cannot penetrate the BBB, which helps reduce CNS drug development costs and accelerate the CNS drug development process.
Patients with acute heart failure (AHF) often experience dyspnea, and monitoring and quantifying their breathing patterns can provide reference information for disease and prognosis assessment. In this study, 39 AHF patients and 24 healthy subjects were included. Nighttime chest-abdominal respiratory signals were collected using wearable devices, and the differences in nocturnal breathing patterns between the two groups were quantitatively analyzed. Compared with the healthy group, the AHF group showed a higher mean breathing rate (BR_mean) [(21.03 ± 3.84) beat/min vs. (15.95 ± 3.08) beat/min, P < 0.001], and larger R_RSBI_cv [70.96% (54.34%–104.28)% vs. 58.48% (45.34%–65.95)%, P = 0.005], greater AB_ratio_cv [(22.52 ± 7.14)% vs. (17.10 ± 6.83)%, P = 0.004], and smaller SampEn (0.67 ± 0.37 vs. 1.01 ± 0.29, P < 0.001). Additionally, the mean inspiratory time (TI_mean) and expiration time (TE_mean) were shorter, TI_cv and TE_cv were greater. Furthermore, the LBI_cv was greater, while SD1 and SD2 on the Poincare plot were larger in the AHF group, all of which showed statistically significant differences. Logistic regression calibration revealed that the TI_mean reduction was a risk factor for AHF. The BR_ mean demonstrated the strongest ability to distinguish between the two groups, with an area under the curve (AUC) of 0.846. Parameters such as breathing period, amplitude, coordination, and nonlinear parameters effectively quantify abnormal breathing patterns in AHF patients. Specifically, the reduction in TI_mean serves as a risk factor for AHF, while the BR_mean distinguishes between the two groups. These findings have the potential to provide new information for the assessment of AHF patients.
Objective To investigate the diagnostic value of strain elastography (SE) and virtual touch tissue image quantification (VTIQ) technique in determining the nature of cervical lymph nodes in patients with lung cancer. Methods A total of 124 patients with lung cancer combined with cervical lymph node enlargement were selected for this study. All patients underwent routine ultrasound examination, using SE to detect lymph nodes and scored them, and using VTIQ technique fro measurement of lymph node shear wave velocity (SWV). Pathological results were taken as gold standards. Non-metastatic lymph nodes were included in the benign group, while metastatic lymph nodes were included in the malignant group. Receiver operating characteristic (ROC) curve was generated. The optimal cutoff value of SWV was determined for predicting metastatic lymph nodes, the area under curve (AUC) of SE and VTIQ technique was compared, and the diagnostic efficacy of SE and VTIQ technique for benign and malignant lymph nodes was analyzed. Results Among the 124 patients, 28 cases of benign lymph nodes had an SE score of 2 - 3, and 59 cases of malignant lymph nodes had an SE score of 4 - 5. The accuracy, sensitivity, and specificity of SE were 70.2%, 75.6%, and 60.9%, respectively. The maximum, minimum, median, and mean values of SWV in the malignant lymph nodes were significantly higher than those in the benign lymph nodes in VTIQ technique testing (P<0.05). Based on the ROC curve analysis, the mean value of SWV had the highest diagnostic efficiency, and its cutoff value of 3.18 m/s was used as the diagnostic criterion for predicting malignant lymph nodes. The accuracy, sensitivity, and specificity of the VTIQ technique in diagnosing malignant lymph nodes were 85.5%, 92.3%, and 73.9%, respectively. The AUC of SE and VTIQ technique were 0.713 and 0.896, respectively, indicating higher diagnostic value of VTIQ technique. Conclusions Both SE and VTIQ technique have high accuracy in determining the nature of cervical lymph nodes in lung cancer patients. Compared with SE, VTIQ technique showed superior diagnostic performance, and SWVmean has the best diagnostic performance. It can provide a new non-invasive examination method for evaluating the nature of cervical lymph nodes in lung cancer patients in clinical practice.