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Nevin Manimala Statistics

Deep Learning Image Reconstruction for Transcatheter Aortic Valve Implantation Planning: Image Quality, Diagnostic Performance, Contrast volume and Radiation Dose Assessment

Acad Radiol. 2024 Mar 11:S1076-6332(24)00096-5. doi: 10.1016/j.acra.2024.02.026. Online ahead of print.

ABSTRACT

RATIONALE AND OBJECTIVES: To assess image quality, contrast volume and radiation dose reduction potential and diagnostic performance with the use of high-strength deep learning image reconstruction (DLIR-H) in transcatheter aortic valve implantation (TAVI) planning CT.

METHODS: We prospectively enrolled 128 patients referred to TAVI-planning CT. Patients were randomly divided into two groups: DLIR-H group (n = 64) and conventional group (n = 64). The DLIR-H group was scanned with tube voltage of 80kVp and body weighted-dependent contrast injection rate of 28mgI/kg/s, images reconstructed using DLIR-H; the conventional group was scanned with 100kVp and contrast injection rate of 40mgI/kg/s, and images reconstructed using adaptive statistical iterative reconstruction-V at 50% (ASIR-V 50%). Radiation dose, contrast volume, contrast injection rate, and image quality were compared between the two groups. The diagnostic performance of TAVI planning CT for coronary stenosis in 115 patients were calculated using invasive coronary angiography as golden standard.

RESULTS: DLIR-H group significantly reduced radiation dose (4.94 ± 0.39mSv vs. 7.93 ± 1.20mSv, p < 0.001), contrast dose (45.28 ± 5.38 mL vs. 63.26 ± 9.88 mL, p < 0.001), and contrast injection rate (3.1 ± 0.31 mL/s vs. 4.9 ± 0.2 mL/s, p < 0.001) compared to the conventional group. Images in DLIR-H group had significantly higher SNR and CNR (all p < 0.001). For the diagnostic performance on a per-patient basis, TAVI planning CT in the DLIR-H group provided 100% sensitivity, 92.1% specificity, 100% negative predictive value (NPV), and 84.2% positive predictive value for the detection of > 50% stenosis. In the conventional group, the corresponding results were 94.7%, 95.3%, 97.6%, and 90.0%, respectively.

CONCLUSION: DLIR-H in TAVI-planning CT provides improved image quality with reduced radiation and contrast doses, and enables satisfactory diagnostic performance for coronary arteries stenosis.

PMID:38472024 | DOI:10.1016/j.acra.2024.02.026

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Nevin Manimala Statistics

Stigma and self-esteem in facial burn patients: A correlation study

Burns. 2024 Feb 1:S0305-4179(24)00014-7. doi: 10.1016/j.burns.2024.01.013. Online ahead of print.

ABSTRACT

BACKGROUND: A considerable number of burn patients have greater psychological stress due to the special trauma site. In clinical practice, it is found that medical staff pay more attention to the rehabilitation of physical function, while the mental health status of patients is greatly neglected. In contact with patients, we found that attention should be paid to the levels of stigma and self-esteem. However, there are few studies on stigma and self-esteem in patients with facial burns. Therefore, this study aimed to describe the stigma and self-esteem levels of facial burns, investigate the relationship between these two variables, and explore the influencing factors of stigma in patients with facial burns, in order to provide evidence for follow-up interventions to improve this population.

METHODS: From August 2020 to June 2021, we recruited patients with facial burns who met the inclusion criteria in one burn specialist clinic and three burn units of a tertiary A hospital in Guangzhou, China. The survey tools of this study include sociodemographic and disease-related information questionnaires, the Chinese version of the Social Impact Scale, and the self-esteem scale (these scales were validated). SPSS 25.0 software was used for data analysis through t test, analysis of variance, correlation analysis, multiple linear regression method for data statistics.

RESULTS: The total stigma score of facial burn patients was (58.01 ± 7.57), which was at a medium level; the self-esteem score was (19.72 ± 2.43), which was at a low level. Correlation analysis showed that there was a positive correlation between the self-esteem score and the total score of stigma (r = 0.286, P < 0.01). The family per capita monthly income, education level, way of medical expenses expenditure, and self-esteem of facial burn patients were the influencing factors of their stigma, and these factors explained 33.7% of the variation in stigma (F=8.659, P<0.01).

CONCLUSIONS: Patients with facial burns have low levels of stigma and self-esteem, which requires our efforts. In particular, there is a positive correlation between stigma and self-esteem, and self-esteem is an independent risk factor affecting stigma. Our findings suggest that interventions aimed at enhancing self-esteem have the potential to positively impact the reduction of stigma in this patient population.

PMID:38472001 | DOI:10.1016/j.burns.2024.01.013

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Nevin Manimala Statistics

Cardiac 2-D Shear Wave Imaging Using a New Dedicated Clinical Ultrasound System: A Phantom Study

Ultrasound Med Biol. 2024 Mar 11:S0301-5629(24)00105-4. doi: 10.1016/j.ultrasmedbio.2024.02.006. Online ahead of print.

ABSTRACT

OBJECTIVE: The purpose of this study was to assess cardiac shear wave imaging implemented in a new MACH 30 ultrasound machine (SuperSonic Imaging, Aix-en-Provence, France) and interfaced with a linear probe and a phased array probe, in comparison with a previously validated Aixplorer system connected to a linear probe (SuperSonic Imaging) using Elasticity QA phantoms (Models 039 and 049, CIRS Inc., Norfolk, VA, USA).

METHODS: Quantile-quantile plots were used for distribution agreement. The accuracy of stiffness measurement was assessed by the percentage error and the mean percentage error (MPE), and its homogeneity, by the standard deviation of the MPE. A p value <0.01 was considered to indicate statistical significance.

RESULTS: The accuracy of dedicated cardiac sequences for linear probes was similar for the two systems with an MPE of 8 ± 14% versus 20 ± 21% (p = not significant) with the SuperSonic MACH 30 and Aixplorer, respectively, and was influenced by target stiffness and location of the measurement in the field of view, but without drift over time. The optimal transthoracic cardiac probe workspace was located between 4 and 10 cm, with an MPE of 29.5 ± 25% compared with 93.3 ± 130% outside this area (p < 0.0001). In this area, stiffness below 20 kPa was significantly different from the reference (p < 0.0001). The sectorial probe revealed no MPE difference in any of the measurement areas, with no significant lateral or axial gradient.

CONCLUSION: The new Supersonic MACH 30 system upgraded with a sectorial probe and specific cardiac settings provided homogenous stiffness measurements, especially when operating at depths between 4 and 10 cm. These phantom results may be useful in designing future in vivo studies.

PMID:38471998 | DOI:10.1016/j.ultrasmedbio.2024.02.006

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Nevin Manimala Statistics

Investigation of gut microbiota diversity according to infectious agent in pediatric infectious acute gastroenteritis in a Korean university hospital

Pediatr Neonatol. 2024 Mar 6:S1875-9572(24)00021-4. doi: 10.1016/j.pedneo.2024.01.005. Online ahead of print.

ABSTRACT

BACKGROUND: Acute gastroenteritis (AGE) is a common cause of pediatric morbidity and mortality worldwide. AGE can cause an imbalance in the intestinal microbiota. This study aimed to investigate the diversity of the gut microbiome in Korean children hospitalized for infectious AGE at a university hospital.

METHODS: A total of 23 stool samples from patients aged 5 months to 11 years with AGE were analyzed. Thirteen convalescent stool samples were collected 1 month after discharge. Multiplex polymerase chain reaction (PCR) for the five viruses and 16 bacteria-specific AGE pathogens (PowerChek Multiplex Real time PCR Kit, Seoul, Korea), and 16s rRNA sequencing (Illumina MiSeq Sequencing system, Illumina, USA) were performed.

RESULTS: According to the results of multiplex PCR for causative pathogens, the microbiome taxonomic profile (MTP) of the gut microbiome in three groups of AGE, norovirus AGE (n = 11), Campylobacter AGE (n = 7) and Salmonella AGE (n = 5) was compared. The phylum Actinobacteria was significantly more abundant in the norovirus AGE (P = 0.011), whereas the phylum Proteobacteria was significantly more abundant in Salmonella AGE (P = 0.012). Alpha diversity, which indicates species richness and diversity, showed no statistical differences. However, beta diversity, representing the similarity in MTP between norovirus, Campylobacter, and Salmonella AGE, was significantly different (P = 0.007). In convalescence, compared with their corresponding AGE samples, the phylum Firmicutes; and the lower taxa Christensenellaceae (P = 0.0152) and Lachnospiraceae (P = 0.0327) were significantly increased.

CONCLUSIONS: In pediatric AGE, the type of infectious agent can affect the diversity and dominance of gut microbiota in pediatric patients. Furthermore, healthy gut bacteria increased during the period of 1 month after infection, allowing a return to a healthy state without causing long-term dysbiosis.

PMID:38471992 | DOI:10.1016/j.pedneo.2024.01.005

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Nevin Manimala Statistics

Fully Automated Identification of Lymph Node Metastases and Lymphovascular Invasion in Endometrial Cancer From Multi-Parametric MRI by Deep Learning

J Magn Reson Imaging. 2024 Mar 12. doi: 10.1002/jmri.29344. Online ahead of print.

ABSTRACT

BACKGROUND: Early and accurate identification of lymphatic node metastasis (LNM) and lymphatic vascular space invasion (LVSI) for endometrial cancer (EC) patients is important for treatment design, but difficult on multi-parametric MRI (mpMRI) images.

PURPOSE: To develop a deep learning (DL) model to simultaneously identify of LNM and LVSI of EC from mpMRI images.

STUDY TYPE: Retrospective.

POPULATION: Six hundred twenty-one patients with histologically proven EC from two institutions, including 111 LNM-positive and 168 LVSI-positive, divided into training, internal, and external test cohorts of 398, 169, and 54 patients, respectively.

FIELD STRENGTH/SEQUENCE: T2-weighted imaging (T2WI), contrast-enhanced T1WI (CE-T1WI), and diffusion-weighted imaging (DWI) were scanned with turbo spin-echo, gradient-echo, and two-dimensional echo-planar sequences, using either a 1.5 T or 3 T system.

ASSESSMENT: EC lesions were manually delineated on T2WI by two radiologists and used to train an nnU-Net model for automatic segmentation. A multi-task DL model was developed to simultaneously identify LNM and LVSI positive status using the segmented EC lesion regions and T2WI, CE-T1WI, and DWI images as inputs. The performance of the model for LNM-positive diagnosis was compared with those of three radiologists in the external test cohort.

STATISTICAL TESTS: Dice similarity coefficient (DSC) was used to evaluate segmentation results. Receiver Operating Characteristic (ROC) analysis was used to assess the performance of LNM and LVSI status identification. P value <0.05 was considered significant.

RESULTS: EC lesion segmentation model achieved mean DSC values of 0.700 ± 0.25 and 0.693 ± 0.21 in the internal and external test cohorts, respectively. For LNM positive/LVSI positive identification, the proposed model achieved AUC values of 0.895/0.848, 0.806/0.795, and 0.804/0.728 in the training, internal, and external test cohorts, respectively, and better than those of three radiologists (AUC = 0.770/0.648/0.674).

DATA CONCLUSION: The proposed model has potential to help clinicians to identify LNM and LVSI status of EC patients and improve treatment planning.

EVIDENCE LEVEL: 3 TECHNICAL EFFICACY: Stage 2.

PMID:38471960 | DOI:10.1002/jmri.29344

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Nevin Manimala Statistics

High Resolution Emission Inventory of Greenhouse Gas and Its Characteristics in Guangdong,China

Huan Jing Ke Xue. 2024 Feb 8;45(2):909-919. doi: 10.13227/j.hjkx.202303229.

ABSTRACT

Based on the typical city survey data and statistics of Guangdong Province, a 2018-based 3 km×3 km gridded greenhouse gas emissions inventory was developed for Guangdong Province using the combination of top-down and bottom-up emission factor methods. The inventory covered the CO2, CH4, and N2O emissions from energy, industrial processes, agriculture, land use change and forest, waste management, and indirect sources. The results showed that estimates for CO2, CH4, and N2O in Guangdong Province for the year 2018 were 8.5×108, 1.9×106, and 1.1×105 t, respectively, and 8.5×108, 4.0×107, and 3.4×107 t by equivalent carbon dioxide, totaling 9.2×108 t. CO2 was the main greenhouse gas in Guangdong Province, accounting for 92.0% of the total emissions. Energy and indirect sources were the main emission sources, accounting for 77.9% and 7.6%, respectively, totaling 85.5%. Spatial distributions illustrated that most grids were greenhouse gas emissions, whereas some others were greenhouse gas sinks; the greenhouse gas emissions were distributed mainly in the Pearl River Delta region and had certain characteristics of distribution along the road network and channels. The greenhouse gas grids of high emission were mainly the locations of high energy-consuming enterprises such as large power plants, steel mills, and cement plants.

PMID:38471929 | DOI:10.13227/j.hjkx.202303229

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Nevin Manimala Statistics

Hydrochemical Characteristics and Genesis Mechanism of Groundwater in the Dry Period in the Zhangjiakou Area

Huan Jing Ke Xue. 2024 Feb 8;45(2):826-836. doi: 10.13227/j.hjkx.202303226.

ABSTRACT

In order to better support the construction of the capital water conservation functional area and ecological environment support area, research on the chemical characteristics of groundwater and its formation mechanism in the dry period in the Zhangjiakou area can provide a great reference for the rational development and utilization of groundwater resources. A total of 41 groups of groundwater samples were collected, and the hydrochemical types, composition characteristics, and control factors of groundwater in the study area were analyzed by using the combined method of descriptive statistical analysis, Piper triplot, correlation analysis, Gibbs plot, and ion ratio. The results showed that the groundwater in the study area was weakly alkaline, with the total hardness and ρ(TDS) ranging from 105.00 mg·L-1 to 1 433.00 mg·L-1 and 137.00 mg·L-1 to 2 286.00 mg·L-1, respectively. The total hardness and TDS mass concentrations of groundwater in the Bashang area were higher than those in the Baxia area. HCO3 and Na+ were the main dominant anions and cations in the groundwater in the study area. The highest overstandard rate of the main components in groundwater was that of total hardness (36.59%). The overstandard rate and maximum excess multiple of each component in groundwater in the Bashang area were greater than those in the Baxia area. HCO3-Ca·Mg·Na was the main type of groundwater hydrochemistry in the study area, and there was little difference between the Bashang area and the Baxia area. SO42-, Cl, HCO3, Na+, and Mg2+ contributed the most to TDS. The chemical characteristics of groundwater were affected by weathering and filtration of rock minerals such as salt rock, albite, and dolomite; cation exchange; and human activities. Evaporative crystallization and atmospheric precipitation contributed to a small part of the main ion source of groundwater in the area. The effect of human activities on groundwater in the Bashang area was greater than that in the Baxia area, and NO3 mainly originated from agricultural activities.

PMID:38471921 | DOI:10.13227/j.hjkx.202303226

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Nevin Manimala Statistics

Hydrochemical Characteristics and Its Origin of Surface Water and Groundwater in Dianbu River Basin

Huan Jing Ke Xue. 2024 Feb 8;45(2):813-825. doi: 10.13227/j.hjkx.202303158.

ABSTRACT

Chaohu lake is a key water body for water pollution prevention and treatment in our country. However, it has been at a higher eutrophication level recently. Here, the surface water and groundwater in the Dianbu River Basin, a secondary tributary of Chaohu Lake, were taken as the research object. In order to test the hydrochemical composition and hydrogen and oxygen isotope values of different water bodies, 30 groups of surface water samples, 36 groups of groundwater samples, 16 groups of hydrogen and oxygen stable isotope samples, and 18 groups of groundwater hydrogen and oxygen stable isotope samples were collected in August 2021 (wet season), November 2021 (normal season), and February 2022 (dry season). The seasonal and spatial variation characteristics were analyzed to explore the hydrochemical characteristics and formation mechanism of water bodies by means of mathematical statistics, Piper triangular diagram, Gibbs figures, and ion ratios. The following results were obtained: ① precipitation was the main source of surface water and groundwater in Dianbu River Basin, and the evaporation fractionation effect of surface water was more significant than that of groundwater. At different periods, the surface water was more enriched with stable isotopes of hydrogen and oxygen than groundwater. The stable isotopes of hydrogen and oxygen in water showed seasonal variation, relative enrichment in the wet season, and depletion in the dry season. ② Both surface water and groundwater in the Dianbu River Basin were weakly alkaline, and the concentration of ions in surface water was significantly lower than that in groundwater. Ca2+ and Na+ were the main cations in surface water, Ca2+ was the main cation in groundwater, and the dominant anion in all water was HCO3. The hydrochemical typology of surface water was mainly HCO3·Cl-Na·Ca, and that of groundwater was mainly HCO3-Na·Ca. ③ The concentrations of the main hydrochemical indexes of surface water and groundwater showed certain seasonal and spatial differences. From the wet season to the dry season, the concentrations of TDS, K+, Na+, Ca2+, Mg2+, Cl, and SO42- in surface water showed an increasing trend on the whole. The concentrations of Na+, Ca2+, and Mg2+ in groundwater showed little change but increased slightly, whereas the concentrations of Cl, SO42-, and NO3 showed an increasing trend on the whole. The concentrations of Cl, SO42-, and NO3 in the water showed relatively large seasonal fluctuations. From upstream to downstream, the concentrations of the main hydrochemical indexes in surface water first decreased and then increased, among which the concentration of NO3 increased the most. The concentrations of the main hydrochemical indexes of groundwater in the direction of runoff changed little overall, but the concentration in the discharge area was higher than that in the recharge area. ④ The formation of hydrochemical characteristics of the water was mainly controlled by water-rock interaction but was also influenced by human factors. The water-rock action was mainly the weathering dissolution of silicate rock, salt rock, and carbonate rock. Man-made pollutants such as sewage from a sewage treatment plant, domestic sewage, and feces had obviously changed the hydrochemical characteristics of the local water. ⑤ Compared with that in 2016, the concentration of NO3 in surface water showed a certain degree of reduction. The nitrogen pollution control work carried out by the local government had achieved certain results, but it was still necessary to strengthen the pollution prevention and control of sewage and feces in the downstream of the Dianbu River, some tributaries (such as the Dingguang River and Maqiao River), and some residential areas.

PMID:38471920 | DOI:10.13227/j.hjkx.202303158

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Nevin Manimala Statistics

Chemical Characteristics and Genetic Analysis of Karst Groundwater in the Beijing Xishan Area

Huan Jing Ke Xue. 2024 Feb 8;45(2):802-812. doi: 10.13227/j.hjkx.202303190.

ABSTRACT

As an important water supply source in Beijing, karst groundwater has played an irreplaceable role in the security of urban water supply and ecological environment protection in the past 70 years. The Xishan karst groundwater system, located in the upper reaches of western Beijing, belongs to ecological conservation areas. There are several centralized water supply fields in this area. In this study, the Xishan karst groundwater system was taken as the research object. A total of 120 karst groundwater samples in this area were investigated by using statistical analysis, ion ratio, and principal component analysis (PCA) methods to explore the spatial distribution characteristics and formation mechanism of groundwater hydrochemistry. The research results showed that: ① the groundwater quality of the Xishan system was generally good, with the characteristics of neutral pH and low salinity. A total of 84.17% of the water samples were classified as hard water. The chemical type of groundwater was mainly HCO3-Ca·Mg. ② The chemical composition of groundwater was mainly affected by the water-rock interaction, and the weathering source of rock was mainly the dissolution of carbonate. ③ The results of principal component analysis showed that 34.41% of the chemistry formation of groundwater could be explained by carbonate dissolution, 27.33% by rock salt and evaporate dissolution, 11.76% by aquifer sediment dissolution, and 10.30% by domestic sewage discharge. From the recharge area to the runoff area and then to the discharge area, the TH and TDS gradually increased. Coal mining drainage and human activities were the main factors that caused groundwater degradation and variable hydrochemical types in the piedmont. In the future, it is necessary to further strengthen environmental governance, control point and non-point source pollution, and continuously monitor key areas to provide scientific support for ecological and environmental protection.

PMID:38471919 | DOI:10.13227/j.hjkx.202303190

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Nevin Manimala Statistics

Effects of Land Use Structure and Spatial Pattern at Different Temporal and Spatial Scales on Water Quality in Suzhou Creek

Huan Jing Ke Xue. 2024 Feb 8;45(2):768-779. doi: 10.13227/j.hjkx.202303032.

ABSTRACT

Relationships between land use and water quality of rivers and lakes vary spatially and temporally. These variations were analyzed using spatial analysis and mathematical statistical methods for the Suzhou Creek in Shanghai. Based on the data of water quality and land use in 2001, 2005, 2010, 2015, and 2020, five spatial scales (200, 500, 1 000, 2 000, and 5 000 m reach buffer) of the landscape pattern were extracted using correlation and redundancy analysis to explore the impact of land use composition and spatial pattern on water quality at different spatial and temporal scales. The results showed that: ① the water quality of Suzhou Creek has gradually improved in the past 20 years; other indicators were between Class II to Class IV in 2020 except TN, and TN was the main pollutant. ② The main land use type of the buffer zone was construction land, and the proportion of greenland and woodland showed a small growth trend. ③ The water quality was closely related to landscape pattern, showing temporal and spatial scale effects. On the time scale, indicators such as construction land, agricultural land, landscape dominance, aggregation, and diversity had significant correlations with various water quality parameters, and there was an inverse correlation in 2010 compared with that in other years for NH4+-N, TP, and TN. The landscape pattern in 2001 had the greatest explanation for water quality, with an explanation rate of 93.65%. The impact of greenland and woodland on water quality has begun to emerge in the past 10 years. ④ On the spatial scale, there were significant correlations between greenland and woodland, patch number, landscape shape index, diversity index, and water quality. There was a strong positive regulatory effect of greenland and woodland on NH4+-N, TP, and TN at the scale of 2 000 m. The patch number and landscape shape index had relatively strong regulatory effects on water quality on a larger spatial scale, whereas the Shannon diversity index had a better positive regulatory effect on water quality on a small scale. The landscape pattern within a buffer of 2 000 m had the highest interpretation degree for all factors, with an explanation rate of 68.47%. The study showed that rationally planning the proportion of greenland and woodland within the 2 000 m buffer zone and optimizing its landscape configuration is an important measure to purify the surface water quality of Suzhou Creek.

PMID:38471916 | DOI:10.13227/j.hjkx.202303032