1.Role and significance of deep learning in intelligent segmentation and measurement analysis of knee osteoarthritis MRI images
Guangwen YU ; Junjie XIE ; Jiajian LIANG ; Wengang LIU ; Huai WU ; Hui LI ; Kunhao HONG ; Anan LI ; Haopeng GUO
Chinese Journal of Tissue Engineering Research 2024;33(33):5382-5387
BACKGROUND:MRI is important for the diagnosis of early knee osteoarthritis.MRI image recognition and intelligent segmentation of knee osteoarthritis using deep learning method is a hot topic in image diagnosis of artificial intelligence. OBJECTIVE:Through deep learning of MRI images of knee osteoarthritis,the segmentation of femur,tibia,patella,cartilage,meniscus,ligaments,muscles and effusion of knee can be automatically divided,and then volume of knee fluid and muscle content were measured. METHODS:100 normal knee joints and 100 knee osteoarthritis patients were selected and randomly divided into training dataset(n=160),validation dataset(n=20),and test dataset(n=20)according to the ratio of 8:1:1.The Coarse-to-Fine sequential training method was used to train the 3D-UNET network deep learning model.A Coarse MRI segmentation model of the knee sagittal plane was trained first,and the rough segmentation results were used as a mask,and then the fine segmentation model was trained.The T1WI and T2WI images of the sagittal surface of the knee joint and the marking files of each structure were input,and DeepLab v3 was used to segment bone,cartilage,ligament,meniscus,muscle,and effusion of knee,and 3D reconstruction was finally displayed and automatic measurement results(muscle content and volume of knee fluid)were displayed to complete the deep learning application program.The MRI data of 26 normal subjects and 38 patients with knee osteoarthritis were screened for validation. RESULTS AND CONCLUSION:(1)The 26 normal subjects were selected,including 13 females and 13 males,with a mean age of(34.88±11.75)years old.The mean muscle content of the knee joint was(1 051 322.94±2 007 249.00)mL,the mean median was 631 165.21 mL,and the mean volume of effusion was(291.85±559.59)mL.The mean median was 0 mL.(2)There were 38 patients with knee osteoarthritis,including 30 females and 8 males.The mean age was(68.53±9.87)years old.The mean muscle content was(782 409.18±331 392.56)mL,the mean median was 689 105.66 mL,and the mean volume of effusion was(1 625.23±5 014.03)mL.The mean median was 178.72 mL.(3)There was no significant difference in muscle content between normal people and knee osteoarthritis patients.The volume of effusion in patients with knee osteoarthritis was higher than that in normal subjects,and the difference was significant(P<0.05).(4)It is indicated that the intelligent segmentation of MRI images by deep learning can discard the defects of manual segmentation in the past.The more accuracy evaluation of knee osteoarthritis was necessary,and the image segmentation was processed more precisely in the future to improve the accuracy of the results.
2.Epidemiological characteristics of traumatic spinal cord injuries in the intensive care unit from 2018 to 2023:a retrospective hospital-based study
Chen WEITING ; Wu HAOPENG ; Yu JIAFEI ; Cao LANXING ; Zhang GENSHENG
World Journal of Emergency Medicine 2024;15(6):455-464
BACKGROUND:The objective of this retrospective hospital-based study was to describe the epidemiological features of traumatic spinal cord injury(TSCI)in the intensive care unit(ICU)and assess the incidence and possible risk factors for venous thromboembolism(VTE)following TSCI. METHODS:We retrospectively reviewed the medical records of 370 patients with TSCI who were admitted between January 2018 and March 2023.The following parameters were collected:age,sex,body mass index,occupation,underlying diseases,smoking history,education level,etiology of injury,injury segments,American Spinal Injury Association(ASIA)Impairment Scale score,severity of injury,injury severity score(ISS),VTE risk score(Caprini score),treatment,VTE prophylaxis,ICU length of stay,length of hospital stay,concomitant injuries,and complications.Descriptive statistics were used to summarize the demographic and clinical characteristics of the study participants.Logistic regression analysis was used to determine the risk factors for VTE. RESULTS:The mean age of patients with TSCI was 55.5±13.4 years,with a male-to-female ratio of 6.5:1.The leading cause of TSCI was falls from height(46.5%),followed by traffic accidents(36.5%).The cervical spinal cord was the most affected segment,followed by the thoracolumbar region.Among all the patients,362(97.8%)had concomitant injuries.Complications were observed in 255 patients(68.9%)during hospitalization.The incidence rate of VTE was 25.1%.Logistic regression analysis revealed that age(OR=1.721,95%CI:1.207-2.454,P=0.003),mechanical ventilation(OR=3.427,95%CI:1.873-6.271,P<0.001),and non-use of chemical prophylaxis(OR=2.986,95%CI:1.749-5.099,P<0.001)were risk factors for VTE. CONCLUSION:Falls from height and traffic accidents were the main causes of TSCIs in the ICU,especially for male patients with cervical spinal cord injuries.VTE is a frequent complication in patients with TSCI in the ICU.Age,mechanical ventilation,and non-use of chemical prophylaxis were found to be independent risk factors for VTE following TSCI.
3.Epidemiological characteristics of traumatic spinal cord injuries in the intensive care unit from 2018 to 2023:a retrospective hospital-based study
Chen WEITING ; Wu HAOPENG ; Yu JIAFEI ; Cao LANXING ; Zhang GENSHENG
World Journal of Emergency Medicine 2024;15(6):455-464
BACKGROUND:The objective of this retrospective hospital-based study was to describe the epidemiological features of traumatic spinal cord injury(TSCI)in the intensive care unit(ICU)and assess the incidence and possible risk factors for venous thromboembolism(VTE)following TSCI. METHODS:We retrospectively reviewed the medical records of 370 patients with TSCI who were admitted between January 2018 and March 2023.The following parameters were collected:age,sex,body mass index,occupation,underlying diseases,smoking history,education level,etiology of injury,injury segments,American Spinal Injury Association(ASIA)Impairment Scale score,severity of injury,injury severity score(ISS),VTE risk score(Caprini score),treatment,VTE prophylaxis,ICU length of stay,length of hospital stay,concomitant injuries,and complications.Descriptive statistics were used to summarize the demographic and clinical characteristics of the study participants.Logistic regression analysis was used to determine the risk factors for VTE. RESULTS:The mean age of patients with TSCI was 55.5±13.4 years,with a male-to-female ratio of 6.5:1.The leading cause of TSCI was falls from height(46.5%),followed by traffic accidents(36.5%).The cervical spinal cord was the most affected segment,followed by the thoracolumbar region.Among all the patients,362(97.8%)had concomitant injuries.Complications were observed in 255 patients(68.9%)during hospitalization.The incidence rate of VTE was 25.1%.Logistic regression analysis revealed that age(OR=1.721,95%CI:1.207-2.454,P=0.003),mechanical ventilation(OR=3.427,95%CI:1.873-6.271,P<0.001),and non-use of chemical prophylaxis(OR=2.986,95%CI:1.749-5.099,P<0.001)were risk factors for VTE. CONCLUSION:Falls from height and traffic accidents were the main causes of TSCIs in the ICU,especially for male patients with cervical spinal cord injuries.VTE is a frequent complication in patients with TSCI in the ICU.Age,mechanical ventilation,and non-use of chemical prophylaxis were found to be independent risk factors for VTE following TSCI.
4.Epidemiological characteristics of traumatic spinal cord injuries in the intensive care unit from 2018 to 2023:a retrospective hospital-based study
Chen WEITING ; Wu HAOPENG ; Yu JIAFEI ; Cao LANXING ; Zhang GENSHENG
World Journal of Emergency Medicine 2024;15(6):455-464
BACKGROUND:The objective of this retrospective hospital-based study was to describe the epidemiological features of traumatic spinal cord injury(TSCI)in the intensive care unit(ICU)and assess the incidence and possible risk factors for venous thromboembolism(VTE)following TSCI. METHODS:We retrospectively reviewed the medical records of 370 patients with TSCI who were admitted between January 2018 and March 2023.The following parameters were collected:age,sex,body mass index,occupation,underlying diseases,smoking history,education level,etiology of injury,injury segments,American Spinal Injury Association(ASIA)Impairment Scale score,severity of injury,injury severity score(ISS),VTE risk score(Caprini score),treatment,VTE prophylaxis,ICU length of stay,length of hospital stay,concomitant injuries,and complications.Descriptive statistics were used to summarize the demographic and clinical characteristics of the study participants.Logistic regression analysis was used to determine the risk factors for VTE. RESULTS:The mean age of patients with TSCI was 55.5±13.4 years,with a male-to-female ratio of 6.5:1.The leading cause of TSCI was falls from height(46.5%),followed by traffic accidents(36.5%).The cervical spinal cord was the most affected segment,followed by the thoracolumbar region.Among all the patients,362(97.8%)had concomitant injuries.Complications were observed in 255 patients(68.9%)during hospitalization.The incidence rate of VTE was 25.1%.Logistic regression analysis revealed that age(OR=1.721,95%CI:1.207-2.454,P=0.003),mechanical ventilation(OR=3.427,95%CI:1.873-6.271,P<0.001),and non-use of chemical prophylaxis(OR=2.986,95%CI:1.749-5.099,P<0.001)were risk factors for VTE. CONCLUSION:Falls from height and traffic accidents were the main causes of TSCIs in the ICU,especially for male patients with cervical spinal cord injuries.VTE is a frequent complication in patients with TSCI in the ICU.Age,mechanical ventilation,and non-use of chemical prophylaxis were found to be independent risk factors for VTE following TSCI.
5.Epidemiological characteristics of traumatic spinal cord injuries in the intensive care unit from 2018 to 2023:a retrospective hospital-based study
Chen WEITING ; Wu HAOPENG ; Yu JIAFEI ; Cao LANXING ; Zhang GENSHENG
World Journal of Emergency Medicine 2024;15(6):455-464
BACKGROUND:The objective of this retrospective hospital-based study was to describe the epidemiological features of traumatic spinal cord injury(TSCI)in the intensive care unit(ICU)and assess the incidence and possible risk factors for venous thromboembolism(VTE)following TSCI. METHODS:We retrospectively reviewed the medical records of 370 patients with TSCI who were admitted between January 2018 and March 2023.The following parameters were collected:age,sex,body mass index,occupation,underlying diseases,smoking history,education level,etiology of injury,injury segments,American Spinal Injury Association(ASIA)Impairment Scale score,severity of injury,injury severity score(ISS),VTE risk score(Caprini score),treatment,VTE prophylaxis,ICU length of stay,length of hospital stay,concomitant injuries,and complications.Descriptive statistics were used to summarize the demographic and clinical characteristics of the study participants.Logistic regression analysis was used to determine the risk factors for VTE. RESULTS:The mean age of patients with TSCI was 55.5±13.4 years,with a male-to-female ratio of 6.5:1.The leading cause of TSCI was falls from height(46.5%),followed by traffic accidents(36.5%).The cervical spinal cord was the most affected segment,followed by the thoracolumbar region.Among all the patients,362(97.8%)had concomitant injuries.Complications were observed in 255 patients(68.9%)during hospitalization.The incidence rate of VTE was 25.1%.Logistic regression analysis revealed that age(OR=1.721,95%CI:1.207-2.454,P=0.003),mechanical ventilation(OR=3.427,95%CI:1.873-6.271,P<0.001),and non-use of chemical prophylaxis(OR=2.986,95%CI:1.749-5.099,P<0.001)were risk factors for VTE. CONCLUSION:Falls from height and traffic accidents were the main causes of TSCIs in the ICU,especially for male patients with cervical spinal cord injuries.VTE is a frequent complication in patients with TSCI in the ICU.Age,mechanical ventilation,and non-use of chemical prophylaxis were found to be independent risk factors for VTE following TSCI.
6.Epidemiological characteristics of traumatic spinal cord injuries in the intensive care unit from 2018 to 2023:a retrospective hospital-based study
Chen WEITING ; Wu HAOPENG ; Yu JIAFEI ; Cao LANXING ; Zhang GENSHENG
World Journal of Emergency Medicine 2024;15(6):455-464
BACKGROUND:The objective of this retrospective hospital-based study was to describe the epidemiological features of traumatic spinal cord injury(TSCI)in the intensive care unit(ICU)and assess the incidence and possible risk factors for venous thromboembolism(VTE)following TSCI. METHODS:We retrospectively reviewed the medical records of 370 patients with TSCI who were admitted between January 2018 and March 2023.The following parameters were collected:age,sex,body mass index,occupation,underlying diseases,smoking history,education level,etiology of injury,injury segments,American Spinal Injury Association(ASIA)Impairment Scale score,severity of injury,injury severity score(ISS),VTE risk score(Caprini score),treatment,VTE prophylaxis,ICU length of stay,length of hospital stay,concomitant injuries,and complications.Descriptive statistics were used to summarize the demographic and clinical characteristics of the study participants.Logistic regression analysis was used to determine the risk factors for VTE. RESULTS:The mean age of patients with TSCI was 55.5±13.4 years,with a male-to-female ratio of 6.5:1.The leading cause of TSCI was falls from height(46.5%),followed by traffic accidents(36.5%).The cervical spinal cord was the most affected segment,followed by the thoracolumbar region.Among all the patients,362(97.8%)had concomitant injuries.Complications were observed in 255 patients(68.9%)during hospitalization.The incidence rate of VTE was 25.1%.Logistic regression analysis revealed that age(OR=1.721,95%CI:1.207-2.454,P=0.003),mechanical ventilation(OR=3.427,95%CI:1.873-6.271,P<0.001),and non-use of chemical prophylaxis(OR=2.986,95%CI:1.749-5.099,P<0.001)were risk factors for VTE. CONCLUSION:Falls from height and traffic accidents were the main causes of TSCIs in the ICU,especially for male patients with cervical spinal cord injuries.VTE is a frequent complication in patients with TSCI in the ICU.Age,mechanical ventilation,and non-use of chemical prophylaxis were found to be independent risk factors for VTE following TSCI.
7.Epidemiological characteristics of traumatic spinal cord injuries in the intensive care unit from 2018 to 2023:a retrospective hospital-based study
Chen WEITING ; Wu HAOPENG ; Yu JIAFEI ; Cao LANXING ; Zhang GENSHENG
World Journal of Emergency Medicine 2024;15(6):455-464
BACKGROUND:The objective of this retrospective hospital-based study was to describe the epidemiological features of traumatic spinal cord injury(TSCI)in the intensive care unit(ICU)and assess the incidence and possible risk factors for venous thromboembolism(VTE)following TSCI. METHODS:We retrospectively reviewed the medical records of 370 patients with TSCI who were admitted between January 2018 and March 2023.The following parameters were collected:age,sex,body mass index,occupation,underlying diseases,smoking history,education level,etiology of injury,injury segments,American Spinal Injury Association(ASIA)Impairment Scale score,severity of injury,injury severity score(ISS),VTE risk score(Caprini score),treatment,VTE prophylaxis,ICU length of stay,length of hospital stay,concomitant injuries,and complications.Descriptive statistics were used to summarize the demographic and clinical characteristics of the study participants.Logistic regression analysis was used to determine the risk factors for VTE. RESULTS:The mean age of patients with TSCI was 55.5±13.4 years,with a male-to-female ratio of 6.5:1.The leading cause of TSCI was falls from height(46.5%),followed by traffic accidents(36.5%).The cervical spinal cord was the most affected segment,followed by the thoracolumbar region.Among all the patients,362(97.8%)had concomitant injuries.Complications were observed in 255 patients(68.9%)during hospitalization.The incidence rate of VTE was 25.1%.Logistic regression analysis revealed that age(OR=1.721,95%CI:1.207-2.454,P=0.003),mechanical ventilation(OR=3.427,95%CI:1.873-6.271,P<0.001),and non-use of chemical prophylaxis(OR=2.986,95%CI:1.749-5.099,P<0.001)were risk factors for VTE. CONCLUSION:Falls from height and traffic accidents were the main causes of TSCIs in the ICU,especially for male patients with cervical spinal cord injuries.VTE is a frequent complication in patients with TSCI in the ICU.Age,mechanical ventilation,and non-use of chemical prophylaxis were found to be independent risk factors for VTE following TSCI.
8.Epidemiological characteristics of traumatic spinal cord injuries in the intensive care unit from 2018 to 2023:a retrospective hospital-based study
Chen WEITING ; Wu HAOPENG ; Yu JIAFEI ; Cao LANXING ; Zhang GENSHENG
World Journal of Emergency Medicine 2024;15(6):455-464
BACKGROUND:The objective of this retrospective hospital-based study was to describe the epidemiological features of traumatic spinal cord injury(TSCI)in the intensive care unit(ICU)and assess the incidence and possible risk factors for venous thromboembolism(VTE)following TSCI. METHODS:We retrospectively reviewed the medical records of 370 patients with TSCI who were admitted between January 2018 and March 2023.The following parameters were collected:age,sex,body mass index,occupation,underlying diseases,smoking history,education level,etiology of injury,injury segments,American Spinal Injury Association(ASIA)Impairment Scale score,severity of injury,injury severity score(ISS),VTE risk score(Caprini score),treatment,VTE prophylaxis,ICU length of stay,length of hospital stay,concomitant injuries,and complications.Descriptive statistics were used to summarize the demographic and clinical characteristics of the study participants.Logistic regression analysis was used to determine the risk factors for VTE. RESULTS:The mean age of patients with TSCI was 55.5±13.4 years,with a male-to-female ratio of 6.5:1.The leading cause of TSCI was falls from height(46.5%),followed by traffic accidents(36.5%).The cervical spinal cord was the most affected segment,followed by the thoracolumbar region.Among all the patients,362(97.8%)had concomitant injuries.Complications were observed in 255 patients(68.9%)during hospitalization.The incidence rate of VTE was 25.1%.Logistic regression analysis revealed that age(OR=1.721,95%CI:1.207-2.454,P=0.003),mechanical ventilation(OR=3.427,95%CI:1.873-6.271,P<0.001),and non-use of chemical prophylaxis(OR=2.986,95%CI:1.749-5.099,P<0.001)were risk factors for VTE. CONCLUSION:Falls from height and traffic accidents were the main causes of TSCIs in the ICU,especially for male patients with cervical spinal cord injuries.VTE is a frequent complication in patients with TSCI in the ICU.Age,mechanical ventilation,and non-use of chemical prophylaxis were found to be independent risk factors for VTE following TSCI.
9.Epidemiological characteristics of traumatic spinal cord injuries in the intensive care unit from 2018 to 2023:a retrospective hospital-based study
Chen WEITING ; Wu HAOPENG ; Yu JIAFEI ; Cao LANXING ; Zhang GENSHENG
World Journal of Emergency Medicine 2024;15(6):455-464
BACKGROUND:The objective of this retrospective hospital-based study was to describe the epidemiological features of traumatic spinal cord injury(TSCI)in the intensive care unit(ICU)and assess the incidence and possible risk factors for venous thromboembolism(VTE)following TSCI. METHODS:We retrospectively reviewed the medical records of 370 patients with TSCI who were admitted between January 2018 and March 2023.The following parameters were collected:age,sex,body mass index,occupation,underlying diseases,smoking history,education level,etiology of injury,injury segments,American Spinal Injury Association(ASIA)Impairment Scale score,severity of injury,injury severity score(ISS),VTE risk score(Caprini score),treatment,VTE prophylaxis,ICU length of stay,length of hospital stay,concomitant injuries,and complications.Descriptive statistics were used to summarize the demographic and clinical characteristics of the study participants.Logistic regression analysis was used to determine the risk factors for VTE. RESULTS:The mean age of patients with TSCI was 55.5±13.4 years,with a male-to-female ratio of 6.5:1.The leading cause of TSCI was falls from height(46.5%),followed by traffic accidents(36.5%).The cervical spinal cord was the most affected segment,followed by the thoracolumbar region.Among all the patients,362(97.8%)had concomitant injuries.Complications were observed in 255 patients(68.9%)during hospitalization.The incidence rate of VTE was 25.1%.Logistic regression analysis revealed that age(OR=1.721,95%CI:1.207-2.454,P=0.003),mechanical ventilation(OR=3.427,95%CI:1.873-6.271,P<0.001),and non-use of chemical prophylaxis(OR=2.986,95%CI:1.749-5.099,P<0.001)were risk factors for VTE. CONCLUSION:Falls from height and traffic accidents were the main causes of TSCIs in the ICU,especially for male patients with cervical spinal cord injuries.VTE is a frequent complication in patients with TSCI in the ICU.Age,mechanical ventilation,and non-use of chemical prophylaxis were found to be independent risk factors for VTE following TSCI.
10.Bioinformatic approaches of liquid–liquid phase separation in human disease
Jun SUN ; Yilong CHEN ; Ruiye BI ; Yong YUAN ; Haopeng YU
Chinese Medical Journal 2024;137(16):1912-1925
Biomolecular aggregation within cellular environments via liquid–liquid phase separation (LLPS) spontaneously forms droplet-like structures, which play pivotal roles in diverse biological processes. These structures are closely associated with a range of diseases, including neurodegenerative disorders, cancer and infectious diseases, highlighting the significance of understanding LLPS mechanisms for elucidating disease pathogenesis, and exploring potential therapeutic interventions. In this review, we delineate recent advancements in LLPS research, emphasizing its pathological relevance, therapeutic considerations, and the pivotal role of bioinformatic tools and databases in facilitating LLPS investigations. Additionally, we undertook a comprehensive analysis of bioinformatic resources dedicated to LLPS research in order to elucidate their functionality and applicability. By providing comprehensive insights into current LLPS-related bioinformatics resources, this review highlights its implications for human health and disease.

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