Hemodynamics plays a vital role in the development and progression of cardiovascular diseases, and is closely associated with changes in morphology and function. Reliable detection of hemodynamic changes is essential to improve treatment strategies and enhance patient prognosis. The combination of computational fluid dynamics with cardiovascular imaging technology has extended the accessibility of hemodynamics. This review provides a comprehensive summary of recent developments in the application of computational fluid dynamics for cardiovascular hemodynamic assessment and a succinct discussion for potential future development.
Objective To investigate the diagnostic value of the series parameters of reticulocyte in children with different types of anemia. Methods From January to August 2015, the reticulocyte parameters of 150 children with different types of anemia treated in the People’s Hospital of Dujiangyan were retrospectively analyzed. Another 150 healthy children aged 1-10 years examined in the same hospital at the same period were as the control group. Mindray BC-6900 automatic blood cell analyzer and suited reagent were used to determine the absolute value of reticulocyte (RET#), percentage of reticulocyte (RET%), immature reticulocyte ratio (IRF), low fluorescent intensity reticulocyte percentage (LFR%), moderate fluorescent intensity reticulocyte percentage (MFR%), and height fluorescent intensity reticulocyte percentage (HFR%). The data were statistically analyzed. Results Compared with the control group, RET%, RET# and IRF results in iron deficiency anemia group, hemolytic anemia group, aplastic anemia group, recent hemorrhagic anemia group, renal anemia group, leukemia and chemotherapy group had statistical difference (P<0.05). Compared with the control group, LFR%, MFR%, HFR% results in hemolytic anemia group and aplastic anemia group had statistical difference (P<0.05). LFR%, MFR% and HFR% results of other types of anemia had no statistical differences (P>0.05). Conclusion The series parameters of the reticulocyte, having an important reference value, can be used in the diagnosis of children with different types of anemia as a reference index, early diagnosis and early treatment of children with different anemia, which also can be used as a method to diagnose different types of anemia.
A fitting method of calculating local helix parameters of proteins based on dual quaternions registration fitting (DQRFit) is proposed in this paper. First, the C and N atom coordinates of each residue in the protein structure data are extracted. Then the unregistered data and reference data are constructed using the sliding windows. The square sum of the distance of the data points before and after registration is regarded as an optimization goal. We calculate the optimal rotation matrix and the translation vector using the dual quaternion registration algorithm, and get the helix parameters of the secondary structure which contain the number of residues per turn(τ), helix radius(ρ)and helix pitch(p). Furthermore, we can achieve the fitting of three-helix parameters of τ, ρ, p simultaneously with the dual quaternion registration, and can adjust the sliding windows to adapt to different error levels. Compared with the traditional helix fitting method, DQRFit has some advantages such as low computational complexity, strong anti-interference, and high fitting accuracy. It is proven that the precision of proposed DQRFit for α helix detection is comparable to that of the dictionary of secondary structure of proteins (DSSP), and is better than that of other traditional methods. This is of great significance for the protein structure classification and functional prediction, drug design, protein structure visualization and other fields in the future.
ObjectiveTo explore the application value of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) quantitative parameters and apparent diffusion coefficient (ADC) value in evaluating the differentiation degrees and T stages of rectal cancer.MethodsThe patients with rectal cancer from November 2017 to November 2019 in the Sichuan Provincial People’s Hospital were collected. The volume transfer constant (Ktrans), flux rate constant (Kep), and extravascular extracellular volume fraction (Ve), and ADC values of the tumors were measured and compared in the patients with the different differentiation degrees and T stages. The receiver operating characteristic (ROC) curve analysis was performed.ResultsAll of 53 eligible patients were included, including 13 cases of high differentiation, 30 cases of medium differentiation, and 10 cases of low differentiation; 5 cases of T1 stage, 8 cases of T2 stage, 24 cases of T3 stage, and 16 cases of T4 stage. ① There were statistical differences in the Ktrans and ADC values among the different differentiation degrees of rectal cancer (P=0.004, P<0.001), and no statistical differences in the Kep and Ve values (P>0.050) among them. The Ktrans value was increased with decreased differentiation degree (P<0.050), the ADC value was decreased with decreased differentiation degrees (P<0.050). ② There were statistical differences in the Ktrans and ADC values among the different T stages of rectal cancer (P=0.002; P=0.007), and no statistical differences in the Kep and Ve values (P>0.050) among them. The Ktrans and ADC values were statistically different between the T2 and T3 stages of rectal cancer (P=0.009, P=0.013). ③ The Ktrans and ADC values could distinguish the high and medium differentiation degrees of rectal cancer, its area under ROC curve (AUC) values were 0.677 and 0.763, respectively, and the corresponding best thresholds were 0.180/min and 1.179 mm2/s; The Ktrans and ADC values could distinguish the medium and low differentiation degrees of rectal cancer, its AUC values were 0.693 and 0.967, and the corresponding best thresholds were 0.281/min and 0.906 mm2/s; The Ktrans and ADC values could distinguish the T2 and T3 stages of rectal cancer, its AUC values were 0.862 and 0.742, and the corresponding best thresholds were 0.204/min and 1.579 mm2/s.ConclusionDCE-MRI quantitative parameters and ADC value before surgery to determine the different differentiation degrees and T stages of rectal cancer have certain reference value, the best Ktrans and ADC thresholds to distinguish different differentiation degrees and T2 to T3 stages can be obtained through statistical analysis.
Objective To explore the relationship between imbalance in sagittal plane as well as structural factors and lumbar degenerative disease. Methods Patients diagnosed between July 2012 and May 2015 were divided into 4 groups according to corresponding diagnostic criteria: lumbar disc herniation group (LDH), lumbar disc protrusion group (LDP), degenerative lumbar spondylisthesis group (DLS) and nonspecific low back pain group (NLBP); 40 patients were included in each group according to their visiting time. All patients underwent X-ray, CT, and MRI. Sagittal parameters and evaluate degeneration level of structural factors were measured, and the difference among the groups were analyzed. Results There was statistical significance in differences of pelvic incidence (PI) and lumbar lordosis (LL) among 4 groups (P<0.05). Average PI was followed in descending order: DLS, LDP, NLBP, and LDH; average LL was followed in descending order: DLS, NLBP, LDP, and LDH. There was no statistical differences in sacral slope and pelvic tilting among 4 groups (P>0.05). The difference in the level of lumbar disc degeneration between NLBP group (which had slightest lumbar disc degeneration) and the other groups was significant (P<0.001) while no statistical differences in level and rate of lumbar disc degeneration among the other three groups was found (P>0.05). As to the level of lumbar zygapophyseal joint degeneration, there was statistical differences between NLBP group (which had the lowest level of lumbar zygapophyseal joint degeneration) and the other groups (P<0.001) while no statistical differences in the grade of lumbar zygapophyseal joint degeneration among the other three groups (P>0.05). There was statistical differences in the rate of lumbar zygapophyseal joint degeneration between LDH and DLS group (χ2=11.429,P=0.001). Conclusions Vertical lunbar spine is combined with LDH of which the level of lumbar zygapophyseal joint degeneration is minimized, while crooked lunbar spine is combined with DLS of which the level of lumbar zygapophyseal joint degeneration is maximization. NLBP has the lowest level of degeneration of lumbar disc and lumbar zygapophyseal joint degeneration.
ObjectiveTo evaluate the value of imaging quantification parameters in artificial intelligence (AI) assisted diagnosis systems in clinical decision-making for lung nodules≤2 cm and the diagnostic efficacy of AI. MethodsLung nodule patients admitted to Affiliated Zhongshan Hospital of Dalian University from 2020 to 2023 were included. Imaging parameters of lung nodules were extracted using AI assisted diagnosis systems. Multifactor analysis was used to screen predictors for distinguishing benign and malignant nodules and high-risk predictors for recurrent invasive adenocarcinoma, and a diagnostic model was established and its performance evaluated. The diagnostic efficacy of the AI system was judged according to pathological results. ResultsA total of 594 patients with lung nodules were included, including 202 males and 392 females, with an average age of (58.75±11.55) years. Volume, average CT value, and 3D maximum diameter of non-solid nodules were independent predictors of malignant nodules, with thresholds of 287.4 mm3, −491 HU, and 12.0 mm, respectively. The area under the curve (AUC) for diagnostic efficacy was ranked from high to low as combined model (0.802), volume (0.783), average CT value (0.749), and 3D maximum diameter (0.714). The average CT value and 3D long diameter of solid nodules were independent predictors of malignant nodules, with thresholds of −81 HU and 17.5 mm, respectively, and AUC values of 0.874 and 0.686, respectively, with the combined prediction AUC of 0.957. The mass of cystic nodules was an independent predictor of malignancy when the mass>180.7 mg. Independent predictors of high recurrence risk of invasive adenocarcinoma in non-solid nodules were consolidation-tumor ratio (CTR), average CT value, 3D long diameter, and volume, with thresholds of 0.14, −386 HU, 15.6 mm, and 1018.9 mm3, respectively, and diagnostic efficacy was ranked from high to low as combined model (0.788), 3D long diameter (0.735), volume (0.725), average CT value (0.720), and CTR (0.697). The accuracy of AI in predicting benign and malignant target nodules was 87.4%, with positive predictive value of 96.6% and negative predictive value of 58.9%. ConclusionIn clinical decision-making for lung nodules ≤2 cm, AI assisted diagnosis systems have high application value.
Objective To establish the reference intervals for platelet-related parameters among the elderly population in Longquanyi District, Chengdu. Methods From November 1st to December 31st 2021, elderly individuals aged between 60 and 80 years were selected from the Longquanyi branch of a natural population cohort study initiated by West China Hospital of Sichuan University in 2021. Complete blood cell analysis was performed to obtain the platelet-related parameters. IBM SPSS Statistics 25 software was used to analyze the data and establish the reference intervals for platelet-related parameters among the elderly population in Longquanyi District. Results A total of 1938 reference individuals were selected by inclusion and exclusion criteria, and finally 1669 reference individuals, including 665 males and 1004 females, were included to establish the reference intervals after excluding outliers. The reference range of blood platelet count was (95.03-301.32)×109/L for elderly men and (112.13-320.75)×109/L for elderly women, respectively. The reference range of mean platelet volume was 8.97-13.80 fL for elderly men and 9.10-13.90 fL for elderly women, respectively. The reference range of plateletcrit was 0.13%-0.30% for elderly men and 0.14%-0.32% for elderly women, respectively. The reference range of platelet distribution width was 15.80-16.90 for elderly men and 15.70-16.90 for elderly women, respectively. Conclusion It is of practical significance to establish platelet-related parameters in the elderly in local region.
Objective To investigate the changes of low back pain (LBP) and spinal sagittal parameters in patients with unilateral Crowe type Ⅳ developmental dysplasia of the hip (DDH) after total hip arthroplasty (THA). Methods The clinical data of 30 patients who met the selection criteria between October 2018 and March 2020 were retrospectively analyzed. Patients were divided into LBP group (16 cases) and control group (14 cases) according to whether there was LBP before operation. There was no significant difference between the two groups of patients in gender, age, body mass index, affected sides, preoperative Harris score (P>0.05). Full-length lateral X-ray films of the spine were taken within 1 week before operation and at 1 year after operation, and the following imaging indicators were measured: sacral slope (SS), lumbar lordosis (LL ), spinal tilt (ST), spine-sacral angle (SSA), sagittal vertebral axis (SVA). The visual analogue scale (VAS) score, lumbar Oswestry disability index (ODI), the Harris score of the hip joint before operation and at 1 year after operation, and the occurrence of postoperative complications were collected and analysed. Results In the LBP group, LBP was relieved to varying degrees at 1 year after operation, of which 13 patients (81.3%) had complete LBP remission; VAS score decreased from 4.9±2.3 preoperatively to 0.3±0.8, ODI decreased from 33.5±22.6 preoperatively to 1.3±2.9, the differences were all significant (t=7.372, P=0.000; t=5.499, P=0.000). There was no new chronic LBP in the control group during follow-up. The Harris scores of the two groups significantly improved when compared with those before operation (P<0.05); there was no significant difference between the two groups at 1 year after operation (t=0.421, P=0.677). There was no significant difference in imaging indexes between the two groups before operation and the difference between pre- and post-operation (P>0.05). At 1 year after operation, ST and SVA in the LBP group, SSA in the control group, and SS in the two groups significantly improved when compared with those before operation (P<0.05); there was no significant difference in the other indexes between the two groups before and after operation (P>0.05). Conclusion Unilateral Crowe type Ⅳ DDH patients with LBP before operation were all relieved of LBP after THA. The relief of LBP may be related to the improvement of spinal balance, but not to lumbar lordosis and its changes.
There is a shared problem in current optical imaging technologies of how to obtain the optical parameters of biological tissues with complex profiles. In this work, an imaging system for obtaining the optical parameters of biological tissues with complex profile was presented. Firstly, Fourier transformation profilometry was used for obtaining the profile information of biological tissues, and then the difference of incident light intensity at different positions on biological tissue surface was corrected with the laws of illumination, and lastly the optical parameters of biological tissues were achieved with the spatial frequency domain imaging technique. Experimental results indicated the proposed imaging system could obtain the profile information and the optical parameters of biological tissues accurately and quickly. For the slab phantoms with height variation less than 30 mm and angle variation less than 40º, the maximum relative errors of the profile uncorrected optical parameters were 46.27% and 72.18%, while the maximum relative errors of the profile corrected optical parameters were 6.89% and 10.26%. Imaging experiments of a face-like phantom and a human’s prefrontal lobe were performed respectively, which demonstrated the proposed imaging system possesses clinical application value for the achievement of the optical parameters of biological tissues with complex profiles. Besides, the proposed profile corrected method can be used to combine with the current optical imaging technologies to reduce the influence of the profile information of biological tissues on imaging quality.
For the detection and identification of abnormal nodular tissues on the body surface, a microwave sensor structure loaded with a spiral resonator is proposed in this paper, a sensor simulation model is established using HFSS software, the structural parameters are optimized, and the actual sensor is fabricated. The S21 parameters of the tissue were obtained when nodules appeared by simulation, and the characteristic relationship between the difference of S21 parameters with position was analyzed and tested experimentally. The results showed that when nodules were present in normal tissues, the curve of S21 parameter difference with position change had obvious inverted bimodal characteristics, and the extreme value of S21 parameter difference appeared when the sensor was directly above the nodules, which was easy to identify the position of nodules. It provides an objective detection tool for the identification of abnormal nodular tissues on the body surface.