1.Discriminating Tumor Deposits From Metastatic Lymph Nodes in Rectal Cancer: A Pilot Study Utilizing Dynamic Contrast-Enhanced MRI
Xue-han WU ; Yu-tao QUE ; Xin-yue YANG ; Zi-qiang WEN ; Yu-ru MA ; Zhi-wen ZHANG ; Quan-meng LIU ; Wen-jie FAN ; Li DING ; Yue-jiao LANG ; Yun-zhu WU ; Jian-peng YUAN ; Shen-ping YU ; Yi-yan LIU ; Yan CHEN
Korean Journal of Radiology 2025;26(5):400-410
Objective:
To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer.
Materials and Methods:
A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs.
Results:
All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027).
Conclusion
The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.
2.Discriminating Tumor Deposits From Metastatic Lymph Nodes in Rectal Cancer: A Pilot Study Utilizing Dynamic Contrast-Enhanced MRI
Xue-han WU ; Yu-tao QUE ; Xin-yue YANG ; Zi-qiang WEN ; Yu-ru MA ; Zhi-wen ZHANG ; Quan-meng LIU ; Wen-jie FAN ; Li DING ; Yue-jiao LANG ; Yun-zhu WU ; Jian-peng YUAN ; Shen-ping YU ; Yi-yan LIU ; Yan CHEN
Korean Journal of Radiology 2025;26(5):400-410
Objective:
To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer.
Materials and Methods:
A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs.
Results:
All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027).
Conclusion
The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.
3.Discriminating Tumor Deposits From Metastatic Lymph Nodes in Rectal Cancer: A Pilot Study Utilizing Dynamic Contrast-Enhanced MRI
Xue-han WU ; Yu-tao QUE ; Xin-yue YANG ; Zi-qiang WEN ; Yu-ru MA ; Zhi-wen ZHANG ; Quan-meng LIU ; Wen-jie FAN ; Li DING ; Yue-jiao LANG ; Yun-zhu WU ; Jian-peng YUAN ; Shen-ping YU ; Yi-yan LIU ; Yan CHEN
Korean Journal of Radiology 2025;26(5):400-410
Objective:
To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer.
Materials and Methods:
A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs.
Results:
All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027).
Conclusion
The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.
4.Discriminating Tumor Deposits From Metastatic Lymph Nodes in Rectal Cancer: A Pilot Study Utilizing Dynamic Contrast-Enhanced MRI
Xue-han WU ; Yu-tao QUE ; Xin-yue YANG ; Zi-qiang WEN ; Yu-ru MA ; Zhi-wen ZHANG ; Quan-meng LIU ; Wen-jie FAN ; Li DING ; Yue-jiao LANG ; Yun-zhu WU ; Jian-peng YUAN ; Shen-ping YU ; Yi-yan LIU ; Yan CHEN
Korean Journal of Radiology 2025;26(5):400-410
Objective:
To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer.
Materials and Methods:
A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs.
Results:
All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027).
Conclusion
The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.
5.Discriminating Tumor Deposits From Metastatic Lymph Nodes in Rectal Cancer: A Pilot Study Utilizing Dynamic Contrast-Enhanced MRI
Xue-han WU ; Yu-tao QUE ; Xin-yue YANG ; Zi-qiang WEN ; Yu-ru MA ; Zhi-wen ZHANG ; Quan-meng LIU ; Wen-jie FAN ; Li DING ; Yue-jiao LANG ; Yun-zhu WU ; Jian-peng YUAN ; Shen-ping YU ; Yi-yan LIU ; Yan CHEN
Korean Journal of Radiology 2025;26(5):400-410
Objective:
To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer.
Materials and Methods:
A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs.
Results:
All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027).
Conclusion
The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.
6.Effect and mechanism of Buyang Huanwu Decoction in improving neurological function in ischemic stroke rats based on IRE1α/ASK1/JNK pathway.
Xin-Rong ZHANG ; Tian-Lang WANG ; Jia-Hao ZHANG ; Lu JIN ; Jian-Bo WANG ; Ya-Nan XUE ; Yi QU
China Journal of Chinese Materia Medica 2025;50(14):3857-3867
This study aimed to investigate the effect and mechanism of Buyang Huanwu Decoction in regulating endoplasmic reticulum stress via the inositol-requiring enzyme 1α(IRE1α)/apoptosis signal-regulating kinase 1(ASK1)/c-Jun N-terminal kinase(JNK) pathway to improve neurological function in rats with cerebral ischemia/reperfusion injury(CIRI). SPF-grade male sprague-dawley(SD) rats were randomly divided into Sham group, model group, Buyang Huanwu Decoction group, and edaravone group. Except for the Sham group, the other groups were subjected to the modified suture method to establish a middle cerebral artery occlusion/reperfusion(MCAO/R) model. After treatment, neurological function was assessed using the Zea Longa scoring system. Gait analysis was used to detect the motor function. Detection of relative infarct area in brain tissue using 2,3,5-triphenyltetrazolium chloride(TTC) staining. Nissl staining was used to observe the structure of neuronal cells. Western blot and real-time fluorescence quantitative PCR(RT-qPCR) were used to detect IRE1α, ASK1, JNK, B cell lymphoma-2(Bcl-2), Bcl-2 related X protein(Bax), and Caspase-3 in the brain tissue. Immunohistochemistry was used to detect the positive expression of IRE1α, ASK1, and JNK. Immunofluorescence was used to detect the fluorescence expression levels of Bax, Bcl-2, and Caspase-3. The results showed that compared with the Sham group, the model group exhibited increased neurological scores(P<0.01), increased ratio of ground contact area and strength in both forelimbs(P<0.01), enlarged relative infarct area of brain tissue(P<0.05), and a reduced number of Nissl staining-positive cells(P<0.01). The protein and mRNA expression levels of IRE1α, ASK1, JNK, Bax, and Caspase-3 in brain tissue were significantly elevated, while those of Bcl-2 were decreased(P<0.05). Compared with the model group, both the Buyang Huanwu Decoction group and edaravone group showed reduced neurological scores(P<0.05), decreased ratio of ground contact area and strength in both forelimbs(P<0.05), smaller relative infarct area(P<0.05), alleviated neuronal damage, and increased number of Nissl staining-positive cells(P<0.05). The expression levels of IRE1α, ASK1, JNK, Bax, and Caspase-3 protein and mRNA in brain tissue were significantly reduced, while those of Bcl-2 were significantly increased(P<0.05). The results indicated that Buyang Huanwu Decoction can effectively improve brain injury in CIRI rats, and its mechanism of action may be related to regulating the endoplasmic reticulum stress IRE1α/ASK1/JNK signaling pathway.
Animals
;
Male
;
Rats, Sprague-Dawley
;
Protein Serine-Threonine Kinases/genetics*
;
Drugs, Chinese Herbal/administration & dosage*
;
Rats
;
MAP Kinase Kinase Kinase 5/genetics*
;
Ischemic Stroke/physiopathology*
;
Humans
;
MAP Kinase Signaling System/drug effects*
;
Apoptosis/drug effects*
;
Endoribonucleases/genetics*
;
JNK Mitogen-Activated Protein Kinases/genetics*
;
Endoplasmic Reticulum Stress/drug effects*
;
Multienzyme Complexes
7.A Study of Mandarin Vowels Space Area and A Rational administration Method and Corpus in Patients with Voice Disorders
Bin YI ; Xiao LANG ; Xiaoxi KANG ; Wensheng ZHAO ; Shaohua GAO ; HaKyung KIM
Journal of Audiology and Speech Pathology 2024;32(4):322-325
Objective To investigate the vowel acoustic characteristics of patients with voice disorders and the reasonable way of administering vocal space area(VSA)and language in the Mandarin system.Methods A total of 40 subjects(20 males and 20 females)with voice disorder and normal healthy controls were recruited.The differ-ences in VSA between the disorder and healthy control groups were analyzed under different corpora and different vowel vertex numbers.Results The differences in VSA between the voice disorder and the control groups were highly significant in both the vowel and long sentence corpus.The differences in VSA between 4 vowels and 3 vow-els and 5 vowels were not significant,and 5 vowels were more suitable for VSA measurement in Mandarin.Conclu-sion The vowel articulation of patients with voice disorder is less clear than that of normal speakers.It is more ac-curate to use 5 vowels to measure VSA under the Mandarin system and it is better for measuring oral motility.Both single vowels and continuous speech are suitable for the measurement of VSA.
8.Role and mechanism of indole-3-propionic acid improving metabolic associated fatty liver disease by regulating adipose tissue metabolism
Yu YAO ; Pengfei HOU ; Min ZHOU ; Hedong LANG ; Minghua LIU ; Long YI ; Mantian MI
Journal of Army Medical University 2024;46(9):919-927
Objective To explore the role of indole-3-propionic acid(IPA)in the pathogenesis of metabolic associated fatty liver disease(MAFLD)induced by high-fat diet(HFD)in order to reveal the role and related mechanism of adipose tissue metabolism in the process.Methods A mouse model of MAFLD was induced by HFD.Male C57BL/6J mice(6~7 weeks old)were randomly divided into control group(CON),HFD group,and HFD+IPA intervention group(HFD+IPA).The CON group was fed with control diet,and the HFD group and HFD+IPA group were fed with 60%of high-fat diet.The experiment period was 12 weeks,and IPA was administered at 20 mg/(kg·d)for 6 weeks starting from the 7th week.The body weight and food intake of each group were monitored weekly.After the intervention,the body composition of mice was detected by animal body composition analyzer.After the mice were euthanized,the morphological and structural changes in the liver and adipose tissues were observed by HE staining,the indicators relevant to lipid metabolism in the serum,l iver and adipose tissues were detected by automatic blood biochemical analyzer and biochemical kits,and the mRNA expression changes of lipid metabolism and inflammation related genes were detected by qRT-PCR.Results Compared with the CON group,the HFD group had significantly increased body weight and body fat percentage,obvious lipid deposition in the liver,obviously elevated serum alanine aminotransferase,aspartate aminotransferase,liver triglyceride and total cholesterol levels(P<0.05),and raised mRNA levels of liver fatty acid transporter CD36(P<0.05),while IPA intervention significantly reversed the above changes(P<0.05).IPA intervention significantly inhibited the HFD-induced enlargement of visceral and brown fat cells,reduced the content of visceral adipose tissue(VAT)and serum level of free fatty acids(P<0.05),and increased the mRNA expression levels of VAT lipolysis(HSL,CGI58),browning genes(Cidea,ND5,UCP1,Prdm16)(P<0.05),as well as those of brown adipose tissue(BAT)lipolysis(HSL,ATGL)and fatty acid beta oxidation(Cpt1a,PPARα)genes(P<0.05).Meanwhile,the mRNA levels of TNF-α,IL-1β,CXCL1 and CCL2 in VAT and BAT were decreased after IPA intervention(P<0.05).Conclusion IPA can improve the occurrence of MAFLD induced by HFD,and its mechanism may be closely associated with its regulation of BAT and VAT morphology,and the mRNA expression of metabolic function and inflammation related genes.
9.Effect of a nutritional formula on enhancing endurance of heavy load exercise
Ruiliang ZHANG ; Shuai CHEN ; Xiangyuan DENG ; Jundong ZHU ; Hedong LANG ; Mantian MI ; Long YI
Journal of Army Medical University 2024;46(9):962-968
Objective To develop a nutritional formula on enhancing the endurance of heavy load exercise,and evaluate its efficacy comprehensively.Methods Sixty C57BL/6J male mice were randomly divided into control group(CON group)and low-,medium-and high-dose nutritional formula groups(LDF,MDF and HDF groups),with 15 mice in each group.Each group received intervention with nutritional formula at corresponding dose for 2 weeks,and underwent adaptive training and heavy load exercise in the 1 st and 2nd weeks,respectively.Exhaustion exercise time,skeletal muscle antioxidant indicators(SOD,MDA,PC and GSH),fatigue related indicators(serum URA,LDH and LA),muscle glycogen,and serum exercise injury related indicators(ALT,AST,CK and CK-MB)were measured and detected in the mice,and comprehensive evaluation was conducted according to relevant evaluation standards.Results The LDF group,MDF group and HDF group had significantly prolonged running exhaustion time than the CON group(P<0.05),with the HDF group showing the greatest improvement(P<0.05).Compared with the CON group,the activities of SOD and GSH in the skeletal muscles were significantly increased(P<0.05),while the levels of MDA and PC in skeletal muscles were obviously decreased in the 3 doses of nutritional formula groups(P<0.05).PAS staining of the skeletal muscles displayed that the glycogen content was significantly increased in the MDF group and the HDF group than the CON group(P<0.05),and the highest increase was observed in the HDF group(P<0.05).Biochemical test revealed that the levels of LDH,LA,ALT,AST,CK,and CK-MB were remarkably lower in the 3 doses of nutritional formula groups than the CON group(P<0.05).Conclusion The nutritional formula can significantly improve the endurance and skeletal muscle antioxidant capacity in mice under heavy load exercise,and has anti-fatigue and-injury protection effects.This nutritional formula can be used to support physical fitness during heavy load endurance exercise.
10.Advances of Near-Infrared Spectroscopy in Cancer Diagnosis
Wei-Wei LANG ; Jia-Chen LI ; Lin-Yi DONG ; Li HAN
Chinese Journal of Analytical Chemistry 2024;52(9):1225-1233
Near-infrared(NIR)spectroscopy reflects the vibrational information of hydrogen-containing groups,allowing the detection of changes in components such as proteins and lipids in biological samples caused by diseases.Due to the advantages such as rapidity,non-destructiveness and non-invasiveness,NIR spectroscopy has been widely used in disease diagnosis.Malignant tumor cells exhibit significant differences in structure and composition compared to normal cells,and abnormal metabolic functions cause changes in the composition of biological tissues and fluids,leading to the variation in spectra.This makes NIR spectroscopy a promising tool for detecting cancer.However,severe overlapping of spectral peaks in the spectra requires the help of chemometrics methods to analyze the spectra and extract diagnostic information.This review summarizes the recent advances in NIR spectroscopy technology in cancer detection,including the methods of spectral preprocessing,diagnosis modeling and the development in NIR hyperspectral imaging combined with deep learning methods.The quantitative information and structural changes of molecules in biological systems can be extracted.Furthermore,the sensitivity of NIR spectra to water is utilized to analyze the content and structural changes of water induced by cancer and its role in cancer detection.

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