2.Modified FOLFIRINOX for advanced pancreatic cancer: a tertiary center experience from China.
Xueli BAI ; Riga SU ; Tao MA ; Shichao SHEN ; Guogang LI ; Jianying LOU ; Shunliang GAO ; Risheng QUE ; Ying YUAN ; Risheng YU ; Qichun WEI ; Tingbo LIANG
Chinese Journal of Surgery 2016;54(4):270-275
OBJECTIVETo explore efficacy and safety of modified FOLFIRINOX (mFOLFIRINOX) regimen by dose attenuation in locally advanced pancreatic cancer (LAPC) and metastatic pancreatic cancer(MPC).
METHODSBetween April 2014 and October 2015, 35 patients with LAPC (n=18) or MPC (n=17) were treated with mFOLFIRINOX regimen (irinotecan 135 mg/m(2), oxaliplatin 68 mg/m(2), 5-FU 2 400 mg/m(2), no bolus of 5-FU, leucovorin 400 mg/m(2)) in the Second Affiliated Hospital of Zhejiang University School of Medicine. The primary end point was progression free survival. The second end points were overall survival, objective response rate, adverse effects, surgical resection rate for LAPC.
RESULTSAmong 35 patients, 6 patients (17.1%) who dropped out and received less than 2 cycles were excluded for response analysis. Among the other 29 patients, 9 patients had grade 3 or 4 adverse effects. No patients ceased treatment due to adverse effects. The 29 patients received 5 (2-13) cycles were evaluated by efficacy and found partial remission in 16 cases, stable disease in 10 cases, progression disease in 3 cases. Response rate was 55.2%. Nine patients with LAPC accomplished surgery after neoadjuvant treatment without perioperative complication and death, and 6 patients accepted R0 resection.
CONCLUSIONSThe mFOLFIRINOX regimen used in the study is well-tolerated in Chinese population with high treatment efficacy on patients with LAPC and MPC. Further investigation of efficacy and adverse effects on more advanced pancreatic cancer patients is necessary.
Antineoplastic Combined Chemotherapy Protocols ; Camptothecin ; administration & dosage ; analogs & derivatives ; Disease Progression ; Disease-Free Survival ; Fluorouracil ; administration & dosage ; Humans ; Leucovorin ; administration & dosage ; Neoadjuvant Therapy ; Organoplatinum Compounds ; administration & dosage ; Pancreatic Neoplasms ; drug therapy ; Tertiary Care Centers ; Treatment Outcome
3.Study on the relations between psycho-behaviors and weight control in adolescents.
Min QUE ; Fang-biao TAO ; Li-hua ZHANG ; Kun HUANG ; Chun-yan HE ; Pu-yu SU
Chinese Journal of Epidemiology 2007;28(11):1085-1088
OBJECTIVETo describe the different sex, age and grade distribution of coping behavior and its psychological effects on weight, and to analyze the correlation between overweight, obesity and unhealthy psycho-behaviors related to weight control in adolescents.
METHODSA survey was conducted among students of grade 1 and grade 2 at a junior middle school in Hefei. Students completed the anonymous. questionnaire including the demographic characteristics of adolescents and parents, self-assessed weight status and adolescents' psycho-behaviors related to weight control. Anthropometric measures were taken together with body mass index (BMI) calculated. Students were divided into obesity,overweight and control groups by BMI separate criteria and by self reporting, respectively.
RESULTSAmong all the students, 17.4% reported having unhealthy psychological feelings related to weight control including 3.8% reported having unhealthy behaviors related to weight control and 19.1% of them reported having unhealthy psycho-behaviors related to weight control. The rates of unhealthy psychological feelings, unhealthy behaviors and total unhealthy psycho-behaviors related to weight control among girls (20.6%, 4.3%, 22.6%) were all higher than those among boys (14.5%, 3.3%, 15.8%) (P < 0.05). The rates of unhealthy psychological feelings, unhealthy behaviors and total unhealthy psycho-behaviors related to weight control in obese individuals both assessed by BMI and assessed by self reporting appeared to be the highest (P < 0.05). In addition,data showed that obesity and overweight assessed both by BMI separate criteria and by self-reporting appeared positive correlations with the rates of unhealthy psycho-behaviors related to weight control. Moreover, the relationship between obesity or overweight assessed by the two methods and unhealthy psycho-behaviors related to weight control did not alter by other factors.
CONCLUSIONUnhealthy psycho-behaviors related to weight control of girls are more severe than boys. The relationship between obesity and unhealthy psychological feelings and behaviors related to weight control does not alter by other factors such as social factors.
Adolescent ; Adolescent Behavior ; psychology ; Body Mass Index ; Female ; Health Behavior ; Humans ; Male ; Obesity ; psychology ; Overweight ; psychology ; Students ; psychology ; Surveys and Questionnaires
4.ABO genotyping by duplex amplification and oligonucleotide arrays assay.
Li LI ; Cheng-tao LI ; Rong-yu LI ; Meiqian SUN ; Yan LIU ; Yao LI ; Yuan LIN ; Tingzhi QUE ; Dalin CHENG ; Pinhua YAN ; Jianxin FANG ; Zhenmin ZHAO ; Min SHEN ; Zhichun DU
Journal of Forensic Medicine 2004;20(4):193-196
OBJECTIVE:
ABO genotyping for forensic identification by oligonucleotide chip.
METHODS:
Oligonucleotide microarrays which could detect 3 different SNPs in exon 6 and exon 7 for ABO genotyping were used. Population studies on ABO was carried out in a sample of 115 unrelated Chinese Han individuals. The method was also applied to cases.
RESULTS:
The technique could identify 6 genotypes of ABO system. According to the results of population studies, no significant deviations from Hardy-Weinberg equilibrium could be found. The observed and expected heterozygosities were 0.591 and 0.616 respectively. The polymorphic information content was 0.544. The average exclusion probabilities in buos and trios was 0.188 and 0.344 respectively. The discrimination power is 0.777.
CONCLUSION
The data and case application demonstrated that ABO typing by oligonucleotide probe arrays was a useful technique for paternity testing and individual identification.
ABO Blood-Group System/genetics*
;
Blood Stains
;
DNA/blood*
;
DNA Primers
;
Female
;
Forensic Medicine
;
Genotype
;
Hair/chemistry*
;
Humans
;
Oligonucleotide Array Sequence Analysis
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.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.
7.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.
8.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.
9.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.