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.The clinical application value of coagulation function indicators in pediatric patients with Burkitt lymphoma
Ping GU ; Qi ZHANG ; Chengyun WANG ; Guoqing ZHU ; Qiuhui PAN ; Jing WANG
Chinese Journal of Blood Transfusion 2025;38(9):1195-1204
Objective: To investigate the abnormal fluctuation of coagulation function indicators in pediatric Burkitt lymphoma patients, and to analyze its correlation with disease progression and prognosis. Methods: The data of 172 children with Burkitt lymphoma in Children's Medical Center, Shanghai Jiao Tong University School of Medicine from January 2020 to December 2023 were retrospectively analyzed, and 120 healthy children were used as control group. Plasma prothrombin time (PT), activated partial thromboplastin time (APTT), thrombin time (TT), fibrinogen (Fib), International standardized ratio (INR), D-dimer (D-D), fibrinogen degradation products (FDP), and antithrombin (AT) were measured. Appropriate statistical methods were used to compare the data between two groups, and the Cox regression model was employed to analyze the influencing factors. A P-value <0.05 was considered statistically significant. Results: Levels of D-D, FDP, INR, and PT were significantly higher in children with Burkitt lymphoma than in the healthy controls [median (P25, P75) for the case group: 0.35 (0.13, 1.22), 3.10 (1.30, 10.20), 1.16 (1.06, 1.24), 12.60 (11.43, 13.50); median (P25, P75) for the healthy control group: 0.10 (0.07, 0.15), 0.60 (0.20, 1.08), 1.06 (1.02, 1.13), 11.50 (11.00, 12.30)](P<0.05). Levels of D-D, FDP, INR, PT, and TT were significantly elevated in children with recurrence compared to those without recurrence [median (P25, P75) for the recurrent group: 0.44 (0.16, 1.42), 3.85 (1.50, 12.25), 1.17 (1.08, 1.24), 12.70 (11.73, 13.50), 16.20 (14.80, 17.80); median (P25, P75) for the non-recurrent group: 0.21 (0.11, 0.69), 2.00 (1.00, 6.85), 1.11 (1.03, 1.24), 11.90 (11.10, 13.43), 15.20 (14.50, 16.40)](P<0.05). Levels of D-D, FDP in children with metastasis were significantly higher than those without metastasis [median (P25, P75) for the metastatic group: 0.51 (0.17, 1.84), 4.38 (1.70, 13.45); median (P25, P75) for the non-metastatic group: 0.20 (0.11, 0.39), 1.50 (1.00, 3.10)] (P<0.05). Levels of D-D and FDP were significantly higher in children with advanced stage than in those with early stage [median (P25, P75) for the high-stage group: 0.33 (0.14, 1.20), 3.10 (1.40, 10.23); median (P25, P75) for the low-stage group: 0.12 (0.08, 0.24), 0.90 (0.50, 2.50)] (P<0.05). Levels of D-D and FDP in high-risk children were significantly higher than those of low-risk [median (P25, P75) for the high-risk group: 0.28 (0.13, 1.01), 2.90 (1.15, 9.65); median (P25, P75) for the low-risk group: 0.12 (0.08, 0.17), 0.80 (0.43, 1.98)] (P<0.05). Levels of D-D, FDP, INR, and PT were significantly higher in children with poor prognosis than in those with favorable prognosis [median (P25, P75) for the poor prognosis group: 1.76 (0.80, 2.72), 13.45 (7.20, 25.30), 1.19 (1.12, 1.32), 12.85 (12.10, 14.35); median (P25, P75) for the favorable prognosis group: 0.23 (0.12, 0.52), 2.00 (1.00, 4.80), 1.14 (1.05, 1.23), 12.30 (11.40, 13.40)] (P<0.05). INR levels significantly increased with accumulating chemotherapy cycles [median (P25, P75) for one session: 1.09 (1.02, 1.20); two sessions: 1.31 (1.23, 1.38); three sessions: 1.79 (1.52, 2.41)] (P<0.05). Age, APTT, D-D, FDP, INR, PT, recurrence and metastasis had a significant effect on the survival of children with Burkitt lymphoma (P<0.05). Conclusion: Patients with Burkitt lymphoma exhibit coagulation disorders, which are influenced by recurrence, metastasis, clinical stage, risk stratification, and prognosis. In clinical practice, it is crucial to prioritize the monitoring of coagulation indicators to facilitate timely detection of coagulation dysfunction.
7.An assessment model for efficacy of autologous CD19 chimeric antigen receptor T-cell therapy and relapse or refractory diffuse large B-cell lymphoma risk.
Bin XUE ; Yifan LIU ; Min ZHANG ; Gangfeng XIAO ; Xiu LUO ; Lili ZHOU ; Shiguang YE ; Yan LU ; Wenbin QIAN ; Li WANG ; Ping LI ; Aibin LIANG
Chinese Medical Journal 2025;138(1):108-110
8.Development and validation of a prediction score for subtype diagnosis of primary aldosteronism.
Ping LIU ; Wei ZHANG ; Jiao WANG ; Hongfei JI ; Haibin WANG ; Lin ZHAO ; Jinbo HU ; Hang SHEN ; Yi LI ; Chunhua SONG ; Feng GUO ; Xiaojun MA ; Qingzhu WANG ; Zhankui JIA ; Xuepei ZHANG ; Mingwei SHAO ; Yi SONG ; Xunjie FAN ; Yuanyuan LUO ; Fangyi WEI ; Xiaotong WANG ; Yanyan ZHAO ; Guijun QIN
Chinese Medical Journal 2025;138(23):3206-3208
9.Efficacy and Safety of Decitabine-Based Myeloablative Preconditioning Regimen for allogeneic Hematopoietic Stem Cell Transplantation in Patients with Acute Myeloid Leukemia.
Xia-Wei ZHANG ; Jing-Jing YANG ; Ning LE ; Yu-Jun WEI ; Ya-Nan WEN ; Nan WANG ; Yi-Fan JIAO ; Song-Hua LUAN ; Li-Ping DOU ; Chun-Ji GAO
Journal of Experimental Hematology 2025;33(2):557-564
OBJECTIVE:
To analyze the efficacy and safety of decitabine-based myeloablative preconditioning regimen for allogeneic hematopoietic stem cell transplantation (allo-HSCT) in patients with acute myeloid leukemia (AML).
METHODS:
The clinical characteristics and efficacy of 115 AML patients who underwent allo-HSCT at the First Medical Center of Chinese PLA General Hospital from August 2018 to August 2022 were retrospectively analyzed, including 37 patients treated with decitabine conditioning regimen (decitabine group) and 78 patients without decitabine conditioning regimen (non-decitabine group). The cumulative incidence of relapse (CIR), overall survival (OS), leukemia-free survival (LFS), non-relapse mortality (NRM) and graft versus host disease (GVHD) were analyzed.
RESULTS:
For the patients in first complete remission (CR1) state before allo-HSCT, the 1-year relapse rates of decitabine group(22 cases) and non-decitabine group(69 cases) were 9.1% and 29.6%, respectively, the difference was statistically significant(P =0.042). The 1-year cumulative incidence of acute graft-versus-host disease (aGVHD) in decitabine group and non-decitabine group was 62.2% and 70.5%, respectively, and the 1-year cumulative incidence of chronic inhibitor-versus-host disease (cGVHD) was 18.9% and 14.1%, respectively, there were no significant differences in the incidence of aGVHD and cGVHD between the two groups (P >0.05). Of the 115 patients, there were no significantly differences in the 1-year CIR(21.7% vs 28.8%, P =0.866), NRM(10.9% vs 3.9%, P =0.203), OS(75.2% vs 83.8%, P =0.131) and LFS(74.6% vs 69.1%, P =0.912) between the decitabine group(37 cases) and the non-decitabine group(78 cases).
CONCLUSION
Decitabine-based conditioning regimen could reduce the relapse rate of AML CR1 patients with good safety.
Humans
;
Leukemia, Myeloid, Acute/therapy*
;
Hematopoietic Stem Cell Transplantation/methods*
;
Decitabine/therapeutic use*
;
Transplantation Conditioning/methods*
;
Retrospective Studies
;
Graft vs Host Disease
;
Transplantation, Homologous
;
Male
;
Female
;
Adult
;
Middle Aged
;
Adolescent
;
Young Adult
10.Clinical Efficacy of CAG Regimen Combined with Venetoclax, Chidamide, and Azacitidine in the Treatment of Elderly Patients with Acute Myeloid Leukemia.
Qing-Yang LIU ; Yu JING ; Meng LI ; Sai HUANG ; Yu-Chen LIU ; Ya-Nan WEN ; Jing-Jing YANG ; Wen-Jing GAO ; Ning LE ; Yi-Fan JIAO ; Xia-Wei ZHANG ; Li-Ping DOU
Journal of Experimental Hematology 2025;33(4):945-950
OBJECTIVE:
To explore the efficacy and adverse reactions of CAG regimen combined with venetoclax, chidamide, and azacitidine in the treatment of elderly patients with acute myeloid leukemia (AML).
METHODS:
15 elderly AML patients aged≥60 years old who were admitted to the Hematology Department of our hospital from May 2022 to October 2023 were treated with the CAG regimen combined with venetoclax, chidamide and azacitidine, and the efficacy, treatment-related adverse events, overall survival (OS) and event-free survival (EFS) were analyzed.
RESULTS:
After one course of treatment, 11 out of 15 patients achieved complete response (CR), 3 patients achieved CR with incomplete hematologic recovery (CRi), and 1 patient died due to prior infection before efficacy evaluation, and the overall response rate (ORR) was 93.3% (14/15). The median follow-up time was 131 (19-275) days, with median OS and EFS both remaining unreached. Next-generation sequencing (NGS) analysis showed that among the 15 patients, 13 were detected with gene mutations, and there were 7 genes with mutation frequencies of more than 10%, including ASXL1 (4 cases), RUNX1 (4 cases), BCOR (3 cases), DNMT3A (3 cases), STAG2 (2 cases), IDH1/2 (2 cases), and TET (2 cases). Among the 13 patients with detectable mutations, 12 patients achieved composite response (CR+CRi). The average recovery time of white blood cell count was 14.6 days after chemotherapy, and the average recovery time of platelets was 7.7 days after chemotherapy. The main adverse event was myelosuppression, with 10 patients accompanied by infection. Except for 1 patient who died due to septic shock during chemotherapy, no patients experienced serious complications such as heart, liver, or kidney damage during the treatment process.
CONCLUSION
The CACAG+V regimen, which combines the CAG regimen with venetoclax, chidamide, and azacitidine, can be applied in the treatment of elderly AML patients, demonstrating good safety and induction remission rate.
Humans
;
Leukemia, Myeloid, Acute/drug therapy*
;
Bridged Bicyclo Compounds, Heterocyclic/therapeutic use*
;
Sulfonamides/therapeutic use*
;
Aminopyridines/therapeutic use*
;
Antineoplastic Combined Chemotherapy Protocols/therapeutic use*
;
Azacitidine/therapeutic use*
;
Aged
;
Benzamides/therapeutic use*
;
Male
;
Female
;
Treatment Outcome
;
Middle Aged
;
Cytarabine
;
Aclarubicin
;
Granulocyte Colony-Stimulating Factor

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