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Article ; Online: Database-based machine learning in sepsis deserves attention.

Hu, Wenhan / Yang, Meicheng / Chen, Hui

2023 Volume 49, Issue 2, Page(s) 262–263

MeSH term(s)	Humans ; Machine Learning ; Algorithms ; Sepsis ; Attention
Language	English
Publishing date	2023-01-02
Publishing country	United States
Document type	Letter ; Comment
ZDB-ID	80387-x
ISSN	1432-1238 ; 0340-0964 ; 0342-4642 ; 0935-1701
ISSN (online)	1432-1238
ISSN	0340-0964 ; 0342-4642 ; 0935-1701
DOI	10.1007/s00134-022-06961-1
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Article: Deep Learning Approaches for Imaging-Based Automated Segmentation of Tuberous Sclerosis Complex.

Zhao, Xuemin / Hu, Xu / Guo, Zhihao / Hu, Wenhan / Zhang, Chao / Mo, Jiajie / Zhang, Kai

Journal of clinical medicine

2024 Volume 13, Issue 3

Abstract: The present study presents a novel approach for identifying epileptogenic tubers in patients with tuberous sclerosis complex (TSC) and automating tuber segmentation using a three-dimensional convolutional neural network (3D CNN). The study ... ...

Abstract	The present study presents a novel approach for identifying epileptogenic tubers in patients with tuberous sclerosis complex (TSC) and automating tuber segmentation using a three-dimensional convolutional neural network (3D CNN). The study retrospectively included 31 TSC patients whose lesions were manually annotated from multiparametric neuroimaging data. Epileptogenic tubers were determined via presurgical evaluation and stereoelectroencephalography recording. Neuroimaging metrics were extracted and compared between epileptogenic and non-epileptogenic tubers. Additionally, five datasets with different preprocessing strategies were used to construct and train 3D CNNs for automated tuber segmentation. The normalized positron emission tomography (PET) metabolic value was significantly lower in epileptogenic tubers defined via presurgical evaluation (
Language	English
Publishing date	2024-01-24
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2662592-1
ISSN	2077-0383
ISSN	2077-0383
DOI	10.3390/jcm13030680
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Article ; Online: Can sponge city construction in mainland China restore the river basin hydrology to an undeveloped state?

Zhao, Xin / Zhang, Zhiming / Li, Junqi / Qi, Xiaotian / Hu, Wenhan / Guo, Feng

Water International. 2023 Apr. 03, v. 48, no. 3 p.423-436

2023

Abstract: This paper explores whether the sponge city construction implemented in China can restore the hydrological condition of the river basins through runoff depth. The annual runoff depth was calculated based on the volume capture ratio of annual rainfall ( ... ...

Abstract	This paper explores whether the sponge city construction implemented in China can restore the hydrological condition of the river basins through runoff depth. The annual runoff depth was calculated based on the volume capture ratio of annual rainfall (VCRAR) and compared with undeveloped and before sponge city construction. The results conclude as follows: the current rainwater source control standard benefits the hydrology recovery in China. But the difference between before sponge city construction and undeveloped is large in 12.9% of the regions. The adjustment recommendations of the VCRAR proposed in this paper are favourable to restoring the river basin hydrology.
Keywords	rain ; rivers ; runoff ; watersheds ; China ; Volume capture ratio of annual rainfall ; rainwater source control ; runoff depth ; river basin hydrology
Language	English
Dates of publication	2023-0403
Size	p. 423-436.
Publishing place	Routledge
Document type	Article ; Online
ISSN	1941-1707
DOI	10.1080/02508060.2023.2195725
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Regional planning for ecological protection of rivers in highly urbanized areas

Qi, Xiaotian / Zhang, Zhiming / Jing, Jiayue / Hu, Wenhan / Zhao, Xin

Ecological Indicators. 2023 May, v. 149 p.110158-

2023

Abstract: The ecological risks associated with rapid urbanization have seriously undermined the river's ecological security. Especially for developing countries, the weak ecological foundation and enormous population pressure have increased the difficulty of river ...

Abstract	The ecological risks associated with rapid urbanization have seriously undermined the river's ecological security. Especially for developing countries, the weak ecological foundation and enormous population pressure have increased the difficulty of river ecological protection. It is urgent to propose a bottom-line planning and management approach for river ecological protection in highly urbanized areas of developing countries. We quantified the minimum cumulative resistance of the river protection and construction land expansion processes. Then, based on the difference between these two minimum cumulative resistances, we assessed the river ecological risk in the Beijing plain area and presented a complete method to regional-level planning and management for river ecological protection. The results show that: 1) The spatial distribution of river ecological risks follows a three-tier ring structure, decreasing from the city center to the suburbs and then to the outer suburbs. The number of river segments with ecological risk levels 1, 2, and 3 are 44, 42, and 23, respectively, accounting for 39.2% of the total length of all river sections, which indicates that a larger number of rivers are facing high ecological risk. 2) The study area was divided into three zones according to the suitability of river ecological protection, with 2476.89, 765.51, and 3832.09 km², respectively. Zone I and Zone II can be developed as protection nodes and riparian protection zones to develop the river ecological network in the central city. 3) We extracted 133 large ecological patches and 219 potential ecological corridors, which should be connected with the river network to enhance the connectivity of the local ecological landscape. The complete method proposed in this study is more focused and implementable to assist administrators in protecting and restoring the ecological security of urban rivers.
Keywords	landscapes ; population pressure ; risk ; rivers ; urbanization ; China ; Landscape pattern ; Landscape ecological network ; Minimum cumulative resistance ; Landscape connectivity ; Urban river restoration
Language	English
Dates of publication	2023-05
Publishing place	Elsevier Ltd
Document type	Article ; Online
Note	Use and reproduction
ZDB-ID	2036774-0
ISSN	1872-7034 ; 1470-160X
ISSN (online)	1872-7034
ISSN	1470-160X
DOI	10.1016/j.ecolind.2023.110158
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Article ; Online: Magnetic resonance-guided laser interstitial thermal therapy vs. open surgery for drug-resistant mesial temporal lobe epilepsy: a propensity score matched retrospective cohort study.

Mo, Jiajie / Guo, Zhihao / Wang, Xiu / Zhang, Jianguo / Hu, Wenhan / Shao, Xiaoqiu / Sang, Lin / Zheng, Zhong / Zhang, Chao / Zhang, Kai

International journal of surgery (London, England)

2024 Volume 110, Issue 1, Page(s) 306–314

Abstract: Background: Magnetic resonance-guided laser interstitial thermal therapy (MRgLITT) and traditional open surgery (OS) are effective and safe options for patients with drug-resistant mesial temporal lobe epilepsy (DR-mTLE). However, their superiority in ... ...

Abstract	Background: Magnetic resonance-guided laser interstitial thermal therapy (MRgLITT) and traditional open surgery (OS) are effective and safe options for patients with drug-resistant mesial temporal lobe epilepsy (DR-mTLE). However, their superiority in seizure control and preservation of functional abilities remains unclear. This study aimed to compare the surgical outcomes of MRgLITT and OS. Materials and methods: This multicenter retrospective cohort study included patients with DR-mTLE who underwent MRgLITT or OS at three centres between 2015 and 2023. The data on patient demographics, presurgical non-invasive evaluation, stereoelectroencephalography (SEEG) implantation, memory alteration, and seizure outcomes were collected. Propensity score matching (PSM) analysis was conducted for the comparison of seizure control and functional preservation between two surgical approaches. Results: Of the 244 individuals who met the study criteria, 33 underwent MRgLITT and 211 OS. The median (interquartile range) age at seizure onset was 22.0 (13.0) and 12.3 (10.0) years in the MRgLITT and OS groups, respectively. The first PSM, based on demographic and non-invasive information, resulted in 26 matched pairs for the primary analysis. There were no significant differences in memory preservation ( P = 0.95) or surgical outcomes ( P = 0.96) between the groups. The second PSM, based on demographics and SEEG implantation, yielded 32 matched pairs for the sensitivity analysis, showing similar results. Subset analysis of early and late MRgLITT cases revealed no statistically significant differences in the proportion of patients with memory decline ( P = 0.42) or seizure control ( P = 1.00). Patients who underwent SEEG implantation were 96% less likely to achieve seizure freedom after MRgLITT ( P = 0.02). Conclusion: Minimally invasive MRgLITT is associated with memory preservation and seizure control, similar to traditional OS. MRgLITT is effective and safe for DR-mTLE and is relevant for future prospective randomized trials on dominant-side mTLE, providing practical implications for guiding neurosurgeons in the selection of surgical approaches.
MeSH term(s)	Humans ; Epilepsy, Temporal Lobe/surgery ; Retrospective Studies ; Propensity Score ; Treatment Outcome ; Laser Therapy/methods ; Drug Resistant Epilepsy/surgery ; Magnetic Resonance Imaging/methods ; Seizures ; Magnetic Resonance Spectroscopy ; Lasers
Language	English
Publishing date	2024-01-01
Publishing country	United States
Document type	Multicenter Study ; Journal Article
ZDB-ID	2212038-5
ISSN	1743-9159 ; 1743-9191
ISSN (online)	1743-9159
ISSN	1743-9191
DOI	10.1097/JS9.0000000000000811
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Article ; Online: Reader Response: One-Stage, Limited-Resection Epilepsy Surgery for Bottom-of-Sulcus Dysplasia.

Hu, Wenhan / Zhao, Baotian / Zhang, Jianguo / Zhang, Kai

Neurology

2021 Volume 97, Issue 22, Page(s) 1051–1052

MeSH term(s)	Epilepsy/surgery ; Humans ; Malformations of Cortical Development
Language	English
Publishing date	2021-11-29
Publishing country	United States
Document type	Journal Article ; Comment
ZDB-ID	207147-2
ISSN	1526-632X ; 0028-3878
ISSN (online)	1526-632X
ISSN	0028-3878
DOI	10.1212/WNL.0000000000012924
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Article: Classification of sponge city construction modes based on regional features.

Zhao, Xin / Zhang, Zhiming / Hu, Wenhan / Qi, Xiaotian

Water science and technology : a journal of the International Association on Water Pollution Research

2021 Volume 84, Issue 9, Page(s) 2180–2193

Abstract: In order to make the sponge city construction model more consistent with the inherent characteristics of the city, this paper constructs classification of the sponge city construction index system. We carry out multivariate statistical and cluster ... ...

Abstract	In order to make the sponge city construction model more consistent with the inherent characteristics of the city, this paper constructs classification of the sponge city construction index system. We carry out multivariate statistical and cluster analysis based on geographic information system (GIS) and classify the different regions of mainland China, putting forward key points of construction for different types of regions. The results show that climatic factor, hydrological factor and soil factor are the main factors affecting sponge city construction, followed by city scale and level of urban economic development; the third is underlying surface type and geomorphological type. The cities are classified into ten clusters, and they present a continuously zonal or flaky distribution from northeast to southwest on the whole; more than 80% of cities obviously present a continuously zonal or flaky distribution. Each of the nine clusters has at least one pilot city, which can be used as a reference for construction.
MeSH term(s)	China ; Cities ; Hydrology ; Urban Renewal
Language	English
Publishing date	2021-11-22
Publishing country	England
Document type	Journal Article
ZDB-ID	764273-8
ISSN	1996-9732 ; 0273-1223
ISSN (online)	1996-9732
ISSN	0273-1223
DOI	10.2166/wst.2021.417
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Article ; Online: Development and Validation of an Interpretable Conformal Predictor to Predict Sepsis Mortality Risk: Retrospective Cohort Study.

Yang, Meicheng / Chen, Hui / Hu, Wenhan / Mischi, Massimo / Shan, Caifeng / Li, Jianqing / Long, Xi / Liu, Chengyu

Journal of medical Internet research

2024 Volume 26, Page(s) e50369

Abstract: Background: Early and reliable identification of patients with sepsis who are at high risk of mortality is important to improve clinical outcomes. However, 3 major barriers to artificial intelligence (AI) models, including the lack of interpretability, ... ...

Abstract	Background: Early and reliable identification of patients with sepsis who are at high risk of mortality is important to improve clinical outcomes. However, 3 major barriers to artificial intelligence (AI) models, including the lack of interpretability, the difficulty in generalizability, and the risk of automation bias, hinder the widespread adoption of AI models for use in clinical practice. Objective: This study aimed to develop and validate (internally and externally) a conformal predictor of sepsis mortality risk in patients who are critically ill, leveraging AI-assisted prediction modeling. The proposed approach enables explaining the model output and assessing its confidence level. Methods: We retrospectively extracted data on adult patients with sepsis from a database collected in a teaching hospital at Beth Israel Deaconess Medical Center for model training and internal validation. A large multicenter critical care database from the Philips eICU Research Institute was used for external validation. A total of 103 clinical features were extracted from the first day after admission. We developed an AI model using gradient-boosting machines to predict the mortality risk of sepsis and used Mondrian conformal prediction to estimate the prediction uncertainty. The Shapley additive explanation method was used to explain the model. Results: A total of 16,746 (80%) patients from Beth Israel Deaconess Medical Center were used to train the model. When tested on the internal validation population of 4187 (20%) patients, the model achieved an area under the receiver operating characteristic curve of 0.858 (95% CI 0.845-0.871), which was reduced to 0.800 (95% CI 0.789-0.811) when externally validated on 10,362 patients from the Philips eICU database. At a specified confidence level of 90% for the internal validation cohort the percentage of error predictions (n=438) out of all predictions (n=4187) was 10.5%, with 1229 (29.4%) predictions requiring clinician review. In contrast, the AI model without conformal prediction made 1449 (34.6%) errors. When externally validated, more predictions (n=4004, 38.6%) were flagged for clinician review due to interdatabase heterogeneity. Nevertheless, the model still produced significantly lower error rates compared to the point predictions by AI (n=1221, 11.8% vs n=4540, 43.8%). The most important predictors identified in this predictive model were Acute Physiology Score III, age, urine output, vasopressors, and pulmonary infection. Clinically relevant risk factors contributing to a single patient were also examined to show how the risk arose. Conclusions: By combining model explanation and conformal prediction, AI-based systems can be better translated into medical practice for clinical decision-making.
MeSH term(s)	Adult ; Humans ; Artificial Intelligence ; Clinical Decision-Making ; Hospitals, Teaching ; Retrospective Studies ; Sepsis/diagnosis ; Multicenter Studies as Topic
Language	English
Publishing date	2024-03-18
Publishing country	Canada
Document type	Journal Article
ZDB-ID	2028830-X
ISSN	1438-8871 ; 1438-8871
ISSN (online)	1438-8871
ISSN	1438-8871
DOI	10.2196/50369
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Article: Evaluation of left ventricular flow field changes after stress in patients with nonobstructive coronary artery disease using ultrasonic flow vector imaging.

Li, Dongmei / Zhao, Xin / Xiao, Qiuyu / Yang, Rui / Li, Zizhuo / Xie, Yuanyuan / Mao, Xinyue / Li, Xi / Hu, Wenhan / Deng, Yan

Frontiers in cardiovascular medicine

2024 Volume 11, Page(s) 1340289

Abstract: Purpose: Vector flow mapping and treadmill exercise stress echocardiography were used to evaluate and explore changes in the left ventricular (LV) flow field of patients with nonobstructive coronary artery disease.: Methods: Overall, 34 patients with ...

Abstract	Purpose: Vector flow mapping and treadmill exercise stress echocardiography were used to evaluate and explore changes in the left ventricular (LV) flow field of patients with nonobstructive coronary artery disease. Methods: Overall, 34 patients with nonobstructive (<50%) left anterior descending coronary artery stenosis (case group) and 36 patients with no coronary artery stenosis (control group) were included. Apical four-, three-, and two-chamber echocardiographic images were collected at rest and during early recovery from treadmill exercise. LV flow field, vortex area, and circulation (cir) changes were recorded in different phases: isovolumetric systole (S1), rapid ejection (S2), slow ejection (S3), isovolumetric diastole (D1), rapid filling (D2), slow filling (D3), and atrial systole (D4). Intra- and inter-group differences were compared before and after exercise loading. Results: The control and case groups demonstrated regular trends of eddy current formation and dissipation at rest and under stress. Compared with the control group, the case group had irregular streamline distributions. Abnormal vortices formed in the S1 and D3 apical segments and D1 left ventricular middle segment in the resting group. Compared with the control group, the resting group had decreased left ventricular S1 vortex areas and increased S3 vortex areas. The post-stress D1 and D3 vortex areas and D1 and D2 cir increased. Compared with at rest, after stress, the control group had decreased S1, S3, D2, and D3 vortex areas; increased S2, D1, D3, and D4 cir; and decreased D2 cir. After stress, the case group had decreased S3 and D2 vortex areas, increased D1 vortex areas, and increased S2, D1, D3, and D4 cir ( Conclusion: The resting left ventricular flow field changed in patients with nonobstructive left anterior descending coronary artery stenosis. Both groups had more disordered left ventricular blood flow after stress. The increased D1 vortex area after stress is an independent risk factor for mild coronary stenosis and may contribute to the assessment of nonobstructive coronary stenosis. VFM combined with treadmill stress is useful in evaluating left ventricular flow field changes in patients with nonobstructive coronary artery disease, which is valuable in the early evaluation of coronary heart disease.
Language	English
Publishing date	2024-03-21
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2781496-8
ISSN	2297-055X
ISSN	2297-055X
DOI	10.3389/fcvm.2024.1340289
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Article ; Online: Machine learning-based classification of physiological and pathological high-frequency oscillations recorded by stereoelectroencephalography.

Li, Zilin / Zhao, Baotian / Hu, Wenhan / Zhang, Chao / Wang, Xiu / Zhang, Jianguo / Zhang, Kai

Seizure

2023 Volume 113, Page(s) 58–65

Abstract: Objective: High-frequency oscillations (HFOs) are an efficient indicator to locate the epileptogenic zone (EZ). However, physiological HFOs produced in the normal brain region may interfere with EZ localization. The present study aimed to build a ... ...

Abstract	Objective: High-frequency oscillations (HFOs) are an efficient indicator to locate the epileptogenic zone (EZ). However, physiological HFOs produced in the normal brain region may interfere with EZ localization. The present study aimed to build a machine learning-based classifier to distinguish the properties of each HFO event based on features in different domains. Methods: HFOs were detected in focal epilepsy patients from two different hospitals who underwent stereoelectroencephalography and subsequent resection surgery. Subsequently, 37 features in four different domains (time, frequency and time-frequency, entropy-based and nonlinear) were extracted for each HFO. After extraction, a fast correlation-based filter (FCBF) algorithm was applied for feature selection. The machine learning classifier was trained on the feature matrix with and without FCBF and then tested on the data set from patients in another hospital. Results: A dataset was compiled, consisting of 89,844 pathological HFOs and 23,613 physiological HFOs from 17 patients assigned to the training dataset. Additionally, 12,695 pathological HFOs and 5,599 physiological HFOs from 9 patients were assigned to the testing dataset. Four features (ripple band power, arithmetic mean, Petrosian fractal dimension and zero crossings) were obtained for classifier training after FCBF. The classifier showed an area under the curve (AUC) of 0.95/0.98 for FCBF/no FCBF features in the training dataset and AUC of 0.82/0.90 for FCBF/no FCBF features in the testing dataset. Our findings indicated that the classifier utilizing all features demonstrated superior performance compared to the one relying on FCBF-processed features. Conclusion: Our classifier could reliably differentiate pathological HFOs from physiological ones, which could promote the development of HFOs in EZ localization.
MeSH term(s)	Humans ; Electroencephalography/methods ; Brain ; Epilepsies, Partial ; Brain Waves/physiology ; Machine Learning
Language	English
Publishing date	2023-11-10
Publishing country	England
Document type	Journal Article
ZDB-ID	1137610-7
ISSN	1532-2688 ; 1059-1311
ISSN (online)	1532-2688
ISSN	1059-1311
DOI	10.1016/j.seizure.2023.11.005
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