1.Lymphatic and Venous Contrast-Enhanced Ultrasound Imaging for Differential Diagnosis of Cervical Lymph Node Metastasis in Thyroid Cancer.
Li XU ; Wen-Bo WAN ; Tian GAO ; Tao-Hua GOU ; Yan ZHANG
Acta Academiae Medicinae Sinicae 2025;47(1):16-22
Objective To investigate the value of the novel lymphatic contrast-enhanced ultrasound(LCEUS)and conventional venous contrast-enhanced ultrasound(VCEUS)in the differential diagnosis of benign and malignant cervical lymph nodes in patients with thyroid cancer. Methods Patients with suspected thyroid cancer underwent conventional ultrasound,VCEUS,and LCEUS examinations of cervical lymph nodes before biopsy.The diagnostic abilities of conventional ultrasound,VCEUS,and LCEUS were compared with pathological results as the golden standard. Results Forty-four patients with 52 lymph nodes were included in the final data.Thirty-eight metastatic lymph nodes were confirmed by pathological results,and 14 were benign.The diagnostic sensitivity,specificity,and accuracy were 97.37%,71.43%,and 90.38% for LCEUS,92.11%,35.71%,and 76.92% for VCEUS,and 94.74%,21.43%,and 75.00% for conventional ultrasound,respectively.The area under the curve of LCEUS analyzed by the receiver operating characteristic curve was greater than that of VCEUS(P=0.020)and conventional ultrasound(P<0.001). Conclusion LCEUS could significantly improve the differential diagnosis of cervical lymph node metastasis in the patients with thyroid cancer,providing a basis for precise clinical treatment.
Humans
;
Thyroid Neoplasms/diagnostic imaging*
;
Lymphatic Metastasis/diagnostic imaging*
;
Diagnosis, Differential
;
Female
;
Male
;
Middle Aged
;
Ultrasonography
;
Adult
;
Lymph Nodes/pathology*
;
Contrast Media
;
Neck
;
Aged
;
Young Adult
;
Adolescent
;
Sensitivity and Specificity
2.Ultrasound Characteristics of Secondary Squamous Cell Carcinoma of the Thyroid.
Dong LIU ; Yan-Jia GOU ; Quan WEN ; Su-Ting ZONG
Acta Academiae Medicinae Sinicae 2025;47(3):390-395
Objective To analyze the ultrasonographic features of secondary squamous cell carcinoma of the thyroid(SSCC-T)and evaluate the diagnostic value of ultrasound.Methods A retrospective analysis was conducted on clinical and ultrasonographic data from 12 patients with pathologically confirmed SSCC-T treated at Beijing Friendship Hospital,Capital Medical University between January 2016 and January 2025.Evaluated parameters included lesion size,echogenicity,edge,vascularity,calcification,and cervical lymph node metastasis.Descriptive statistical analysis was performed to analyze the ultrasonographic features of SSCC-T,and Fisher's exact test was conducted to analyze the correlation between different ultrasound classifications and thyroid dysfunction.Results The 12 patients showed the following ultrasound classifications:nodular type(50.0%,6/12),diffuse type(33.3%,4/12),and mixed type(16.7%,2/12).All diffuse-type patients exhibited a characteristic cord-like hypoechoic pattern.Cervical lymph node metastasis was observed in all the patients,with 75.0%(9/12)showing lymph nodes >2 cm in maximum diameter.Thyroid dysfunction occurred in 66.7%(8/12)of patients,including 2 patients with dynamic shifts from hyperthyroidism to hypothyroidism.Diffuse and mixed types were associated with hypothyroidism(P=0.038).Conclusions SSCC-T demonstrates specific ultrasonographic features,particularly the cord-like hypoechoic pattern in the diffuse type.For patients with squamous cell carcinoma,regular ultrasound examinations of the thyroid and cervical lymph nodes combined with changes in thyroid function are conducive to the timely detection of thyroid metastasis of squamous cell carcinoma.
Humans
;
Retrospective Studies
;
Ultrasonography
;
Carcinoma, Squamous Cell/diagnostic imaging*
;
Thyroid Neoplasms/diagnostic imaging*
;
Lymphatic Metastasis
;
Male
;
Female
;
Middle Aged
;
Thyroid Gland/diagnostic imaging*
;
Adult
3.Value of Ultrasonographic Features Combined With Immunohistochemistry in Predicting Axillary Lymph Node Metastasis in Middle-Aged Women With Breast Cancer.
Qian-Kun CHANG ; Wen-Ying WU ; Chun-Qiang BAI ; Zhi-Chao DING ; Wei-Fang WANG ; Ming-Han LIU
Acta Academiae Medicinae Sinicae 2025;47(4):550-556
Objective To investigate the value of ultrasonographic features combined with immunohistochemistry in predicting axillary lymph node metastasis in middle-aged women with breast cancer.Methods A retrospective analysis was conducted on 827 middle-aged female breast cancer patients who underwent surgical treatment at the Affiliated Hospital of Chengde Medical University from June 2017 to June 2023.Ultrasonographic and immunohistochemical information was collected,and the patients were randomly allocated into a training set(579 patients)and a validation set(248 patients).Univariate and multivariate Logistic regression analyses were performed to identify ultrasonographic and immunohistochemical risk factors associated with axillary lymph node metastasis in these patients,and a nomogram model was developed.Receiver operating characteristic curves and calibration curves were established to evaluate the performance of the nomogram model,and clinical decision curves were built to assess the clinical value of the model.Results The maximum diameter,morphology,boundary,calcification,and expression of human epidermal growth facor receptor 2 and Ki-67 in breast cancer lesions were identified as risk factors for predicting axillary lymph node metastasis in middle-aged women.The areas under the curve of the nomogram model on the training and validation sets were 0.747(0.707-0.787)and 0.714(0.647-0.780),respectively.Calibration curves and clinical decision curves indicated good consistency and performance of the model.Conclusion The nomogram model constructed based on ultrasonographic features and immunohistochemistry of the primary breast cancer lesion demonstrates high value in predicting axillary lymph node metastasis in middle-aged women with breast cancer.
Humans
;
Female
;
Breast Neoplasms/diagnostic imaging*
;
Middle Aged
;
Lymphatic Metastasis/diagnostic imaging*
;
Axilla
;
Retrospective Studies
;
Nomograms
;
Ultrasonography
;
Immunohistochemistry
;
Lymph Nodes/diagnostic imaging*
;
Risk Factors
;
Ki-67 Antigen
4.Predictive value of bpMRI for pelvic lymph node metastasis in prostate cancer patients with PSA≤20 μg/L.
Lai DONG ; Rong-Jie SHI ; Jin-Wei SHANG ; Zhi-Yi SHEN ; Kai-Yu ZHANG ; Cheng-Long ZHANG ; Bin YANG ; Tian-Bao HUANG ; Ya-Min WANG ; Rui-Zhe ZHAO ; Wei XIA ; Shang-Qian WANG ; Gong CHENG ; Li-Xin HUA
National Journal of Andrology 2025;31(5):426-431
Objective: The aim of this study is to explore the predictive value of biparametric magnetic resonance imaging(bpMRI)for pelvic lymph node metastasis in prostate cancer patients with PSA≤20 μg/L and establish a nomogram. Methods: The imaging data and clinical data of 363 patients undergoing radical prostatectomy and pelvic lymph node dissection in the First Affiliated Hospital of Nanjing Medical University from July 2018 to December 2023 were retrospectively analyzed. Univariate analysis and multivariate logistic regression were used to screen independent risk factors for pelvic lymph node metastasis in prostate cancer, and a nomogram of the clinical prediction model was established. Calibration curves were drawn to evaluate the accuracy of the model. Results: Multivariate logistic regression analysis showed extrocapusular extension (OR=8.08,95%CI=2.62-24.97, P<0.01), enlargement of pelvic lymph nodes (OR=4.45,95%CI=1.16-17.11,P=0.030), and biopsy ISUP grade(OR=1.97,95%CI=1.12-3.46, P=0.018)were independent risk factors for pelvic lymph node metastasis. The C-index of the prediction model was 0.834, which indicated that the model had a good prediction ability. The actual value of the model calibration curve and the prediction probability of the model fitted well, indicating that the model had a good accuracy. Further analysis of DCA curve showed that the model had good clinical application value when the risk threshold ranged from 0.05 to 0.70.Conclusion: For prostate cancer patients with PSA≤20 μg/L, bpMRI has a good predictive value for the pelvic lymph node metastasis of prostate cancer with extrocapusular extension, enlargement of pelvic lymph nodes and ISUP grade≥4.
Humans
;
Male
;
Prostatic Neoplasms/diagnostic imaging*
;
Lymphatic Metastasis
;
Retrospective Studies
;
Nomograms
;
Prostate-Specific Antigen/blood*
;
Lymph Nodes/pathology*
;
Pelvis
;
Predictive Value of Tests
;
Prostatectomy
;
Lymph Node Excision
;
Risk Factors
;
Magnetic Resonance Imaging
;
Logistic Models
;
Middle Aged
;
Aged
5.Expression of WNT10A in papillary thyroid carcinoma and its effect on cell proliferation, invasion, and metastasis.
Li YUAN ; Ping ZHOU ; Yongfeng ZHAO ; Jiale LI ; Yan ZHANG ; Wengang LIU
Journal of Central South University(Medical Sciences) 2025;50(3):402-415
OBJECTIVES:
Lymph node metastasis in papillary thyroid cancer (PTC) is closely associated with tumor recurrence and patient survival. However, current technologies have limited sensitivity in detecting occult cervical lymph node metastases. Identifying accurate molecular markers for predicting PTC metastasis holds significant clinical value. This study aims to analyze WNT10A expression in PTC and its clinical significance, and to explore the role of WNT10A gene knockdown in PTC cell proliferation, invasion, and metastasis.
METHODS:
The expression of WNT10A in thyroid carcinoma was analyzed using the Gene Expression Profiling Interactive Analysis (GEPIA) and University of Alabama at Birminghara Cancer data analysis Portal (UALCAN) databases. Real-time RT-PCR was used to measure WNT10A mRNA levels in tumor and adjacent normal tissues from 32 PTC patients. Immunohistochemistry was conducted on 158 PTC specimens to assess WNT10A protein expression and its correlation with clinicopathological features. In vitro experiments were performed using K1 and TPC-1 cell lines. Cell proliferation was assessed using the Celigo system and methyl thiazolyl tetrazolium (MTT) assays; apoptosis was measured via flow cytometry; invasion and metastasis were evaluated using scratch and Transwell assays. A xenograft model was established in nude mice to observe tumor growth, and tumor weight and volume were compared between cell lines. Differentially expressed genes regulated by WNT10A were identified via mRNA sequencing, followed by Gene Ontology (GO) and ingenuity pathway analysis (IPA). Real-time PCR and Western blotting were used to validate the effects of WNT10A on key downstream mRNA and protein in the Tec kinase signaling pathway.
RESULTS:
WNT10A mRNA expression was significantly higher in thyroid cancer tissues compared to adjacent normal tissues according to GEPIA and UALCAN (both P<0.01). The real-time RT-PCR result showed that WNT10A mRNA expression in PTC tissues was high than that in adjacent tissues (P<0.01). Immunohistochemistry revealed significantly higher WNT10A protein expression in PTC tissues compared to adjacent tissues (P<0.01), and its expression correlated with multifocality, extrathyroidal invasion, and lymph node metastasis. WNT10A knockdown significantly inhibited proliferation, altered cell cycle distribution, and increased apoptosis in K1 and TPC-1 cells (all P<0.01). WNT10A silencing also reduced migration and invasion abilities in both cell lines. In vivo, WNT10A knockdown in TPC-1 cells suppressed tumor formation in nude mice. GO analysis and IPA suggested that the Tec kinase signaling pathway was a key downstream target of WNT10A. RT-PCR and Western blotting confirmed that WNT10A knockdown downregulated the expression of key genes (STAT3, MAPK8, TNFRSF21, and AKT2) in this pathway.
CONCLUSIONS
WNT10A is highly expressed in PTC and is associated with tumor proliferation, invasion, and metastasis. Its tumor-promoting effects may be mediated through suppression of the Tec kinase signaling pathway.
Humans
;
Cell Proliferation
;
Thyroid Cancer, Papillary/pathology*
;
Thyroid Neoplasms/metabolism*
;
Animals
;
Wnt Proteins/metabolism*
;
Neoplasm Invasiveness
;
Mice
;
Cell Line, Tumor
;
Female
;
Male
;
Mice, Nude
;
Apoptosis
;
Lymphatic Metastasis
;
Middle Aged
;
Cell Movement
;
Adult
6.Preclinical models in the study of lymph node metastasis.
Liya WEI ; Zizhan LI ; Niannian ZHONG ; Leiming CAO ; Guangrui WANG ; Yao XIAO ; Bo CAI ; Bing LIU ; Linlin BU
Journal of Zhejiang University. Science. B 2025;26(8):740-762
Lymph node metastasis (LNM) is a crucial risk factor influencing an unfavorable prognosis in specific cancers. Fundamental research illuminates our understanding of tumor behavior and identifies valuable therapeutic targets. Nevertheless, the exploration of fundamental theories and the validation of clinical therapies hinge on preclinical experiments. Preclinical models, in this context, serve as the conduit connecting fundamental theories to clinical outcomes. In vivo models established in animals offer a valuable platform for comprehensively observing interactions between tumor cells and organisms. Using various experimental animals, including mice, diverse methods, such as carcinogen-induced tumorigenesis, tumor cell line or human tumor transplantation, genetic engineering, and humanization, have been used effectively to construct numerous models for tumor LNM. Carcinogen-induced models simulate the entire process of tumorigenesis and metastasis. Transplantation models, using human tumor cell lines or patient-derived tumors, offer a research platform closely mirroring the histology and clinical behavior of human tumors. Genetically engineered models have been used to delve into the mechanisms of primary tumorigenesis within an intact microenvironment. Humanized models are used to overcome barriers between human and murine immune systems. Beyond mouse models, various other animal models have unique advantages and limitations, all contributing to exploring LNM. This review summarizes existing in vitro and animal preclinical models, identifies current bottlenecks in preclinical research, and offers an outlook on forthcoming preclinical models.
Animals
;
Humans
;
Mice
;
Lymphatic Metastasis/pathology*
;
Disease Models, Animal
;
Cell Line, Tumor
7.A case report of malignant paraganglioma with lymph node and liver metastasis in the jugular foramen area.
Journal of Clinical Otorhinolaryngology Head and Neck Surgery 2025;39(5):486-490
Objective:Paragangliomas (PGLs) are chromaffin cell tumors originating from paraganglia and are classified as neuroendocrine neoplasms.They predominantly occur along the distribution area of the paraganglia, commonly occurring between the ages of 20 and 40, with a slight male predominance.They are most frequently found in the axial regions from the skull base to the pelvic cavity. Paragangliomas in the head and neck region typically lack endocrine functionality and primarily manifest through local mass effects. However, clinical signs and symptoms alone cannot reliably distinguish between metastatic and non-metastatic cases. Clinically apparent metastatic paragangliomas are relatively rare. Herein, we present a case of a paraganglioma located in the region of the jugular foramen with liver, bone, and lymph node metastases, and discuss the treatment and prognosis of head and neck paragangliomas.
Humans
;
Head and Neck Neoplasms/pathology*
;
Jugular Foramina/pathology*
;
Liver Neoplasms/secondary*
;
Lymphatic Metastasis
;
Paraganglioma/pathology*
8.Results of active surveillance of clinical progression in low-risk papillary thyroid microcarcinoma: a single center prospective cohort study.
Xian YOU ; Dongyu LI ; Xiaoyan ZHANG ; Xinggen ZENG ; Cheng CHEN
Journal of Clinical Otorhinolaryngology Head and Neck Surgery 2025;39(9):836-841
Objective:To observe the clinical progression of low-risk papillary thyroid microcarcinoma(LR-PTMC), analyze the influencing factors of its oncological outcomes, and explore the feasibility of active surveillance(AS) of LR-PTMC. Methods:This study adopted a prospective observational research design. A total of 85 subjects diagnosed with LR-PTMC during health checkup in Health Management Center of our hospital from March 2021 to October 2022 were enrolled as the research subjects, for at least 2 years of AS follow-up observation. The clinical progress and oncological outcomes were recorded, disease progression was defined as any increase in nodule diameter ≥3 mm or the appearance of new lesions or lymph node metastasis or distant metastasis, and the oncological outcome was use disease progression defining. Cox proportional hazards regression model was used to analyze the influencing factors of oncological outcomes in LR-PTMC patients. Results:A total of 85 LR-PTMC patients who underwent physical examinations were included in this study. The median follow-up time was 2 years, and a total of 23 patients(27.06%) experienced disease progression. Among them, 18 patients(21.18%) had enlarged lesions(any nodule diameter increased by ≥3 mm), and 5 patients(5.88%) had abnormal or metastatic cervical lymph nodes. The 2-year cumulative disease progression rate was 9.41%. The incidence age of LR-PTMC patients was younger, with a higher proportion of ≤45 years old. The proportion of baseline nodules with a maximum diameter greater than 5 mm is higher, and the proportion of baseline TPO Ab positivity was higher. Ultrasound showed a higher proportion of microcalcifications compared to the non progression group, and the differences were statistically significant(all P<0.05). Multivariate Cox proportional hazards regression analysis showed that age of onset ≤45 years RR 95% CI 1.052(1.018-1.088) and ultrasound showing microcalcifications RR 95% CI 3.361(1.379-8.194) were independent risk factors affecting disease progression during AS in LR-PTMC patients(P<0.05). Conclusion:Most LR-PTMC patients maintain stable lesion size and low lymph node metastasis rate during the AS process, with good oncological outcomes in the short term. AS can be considered as a safe and effective alternative to surgical treatment for LR-PTMC patients. But for patients with onset age ≤45 years and microcalcifications, the follow-up interval can be shortened for close observation.
Humans
;
Thyroid Neoplasms/pathology*
;
Disease Progression
;
Prospective Studies
;
Carcinoma, Papillary/pathology*
;
Female
;
Male
;
Middle Aged
;
Adult
;
Watchful Waiting
;
Lymphatic Metastasis
;
Proportional Hazards Models
;
Risk Factors
9.The value of DCE-MRI combined with spectral CT in the short-term efficacy of concurrent chemoradiotherapy for nasopharyngeal carcinoma.
Shucheng ZHENG ; Dejiang ZHANG ; Yuan ZHAO ; Di CHEN ; Long WANG ; Libin TANG
Journal of Clinical Otorhinolaryngology Head and Neck Surgery 2025;39(9):848-853
Objective:To explore the value of spectral CT parameters combined with dynamic contrast enhanced magnetic resonance imaging(DCE-MRI) parameters in the short-term efficacy of concurrent chemoradiotherapy for nasopharyngeal carcinoma. Methods: A total of 110 cases with nasopharyngeal carcinoma Ⅲ-Ⅳ staging who received synchronous radiotherapy and chemotherapy at our Hospital from October 2022 to October 2024 were regarded as the study subjects. Complying with the evaluation results after radiotherapy and chemotherapy, they were divided into a complete remission(CR) group of 53 cases and a non CR group of 57 cases. All patients underwent DCE-MRI and energy dispersive CT scans to obtain parameters, such as iodine concentration(IC), volume transfer constant(Ktrans), slope of spectral HU curve(λHU), rate constant(Kep), and normalized iodine concentration(NIC). Logistic regression analysis was used to screen for influencing factors. ROC curve was used to analyze the evaluation value of various parameters. In addition, Z-test was used to compare area under the curve(AUC). Results:The proportion of retropharyngeal lymph node metastasis and λHUvalue in the non CR group were higher than those in the CR group, while Ktrans, Kep, IC value, and NIC value were lower than those in the CR group(P<0.05). Retropharyngeal lymph node metastasis, Ktrans, Kep, IC value, λHUvalue, and NIC value were all influencing factors(P<0.05). The AUC of individual prediction of Ktrans, Kep, IC value, λHUvalue, and NIC value was 0.817, 0.800, 0.785, 0.783, and 0.835, respectively. The AUC of the combination of DCE-MRI parameters, the combination of spectral CT parameters, and the combination of the five parameters were 0.874, 0.900, and 0.980, respectively, the AUC of the combination of the five parameters was significantly higher than the AUC of each indicator alone, the AUC of the combination of DCE-MRI parameters, and the AUC of the combination of spectral CT parameters(P<0.05). Conclusion:The DCE-MRI, and spectral CT parameters (Ktrans, Kep, IC value, λHUvalue, and NIC value)can be used to evaluate concurrent radiotherapy and chemotherapy short-term efficacy for nasopharyngeal carcinoma. And the combination of various parameters can greatly improve the predictive value of efficacy, which has important clinical application value.
Humans
;
Chemoradiotherapy
;
Nasopharyngeal Neoplasms/diagnostic imaging*
;
Magnetic Resonance Imaging
;
Nasopharyngeal Carcinoma
;
Tomography, X-Ray Computed
;
Male
;
Female
;
Contrast Media
;
Middle Aged
;
Adult
;
Lymphatic Metastasis
;
Dynamic Contrast Enhanced Magnetic Resonance Imaging
10.Development and validation of a nomogram for predicting cervical lymph node metastasis based on hematological parameters and clinicopathological characteristics in patients with laryngeal squamous cell carcinoma.
Shanshan TIAN ; Yu SONG ; Ningyuan WANG ; Jianqiang LI ; Wenwen CHEN ; Deli WANG
Journal of Clinical Otorhinolaryngology Head and Neck Surgery 2025;39(10):949-956
Objective:To explore the predictive value of preoperative peripheral hematological parameters combined with clinicopathological features for cervical lymph node metastasis(CLNM) in patients with laryngeal squamous cell carcinoma(LSCC), and to construct and validate a nomogram model for CLNM. Methods:A retrospective analysis was conducted on the clinical data of 264 LSCC patients who underwent surgical treatment and were pathologically confirmed, collected from the Second Affiliated Hospital of Shandong First Medical University and Taian 88 Hospital. Specifically, 161 patients from one hospital were allocated to the training cohort, while 103 patients from another hospital constituted the validation cohort. Based on postoperative pathological results, patients were categorized into CLNM-positive and CLNM-negative groups. The general clinical data, clinicopathological features, and hematological parameters of the two groups were analyzed and compared. A preoperative predictive model for CLNM was developed using logistic regression analysis, followed by validation and sensitivity analysis to evaluate the robustness of the model's predictive performance. Results:The results showed that there were significant differences in tumor location, tumor size, tumor differentiation, neutrophil percentage, lymphocyte count, lymphocyte percentage, c-reactive protein(CRP), fibrinogen, neutrophil-to-lymphocyte ratio(NLR), platelet-to-lymphocyte ratio(PLR), systemic immune-inflammation index(SII), systemic inflammation response index(SIRI), and prognostic inflammatory index(PIV) between the CLNM-positive and CLNM-negative groups(P<0.05). Lasso regression identified tumor location, clinical T stage, tumor size, tumor differentiation degree, red blood cell distribution width(RDW) -coefficient of variation(RDW-CV), CRP, FIB, D-dimer, NLR, and lymphocyte-to-monocyte ratio(LMR) were the most predictive parameters. Multivariate logistic regression revealed that tumor location, tumor size, tumor differentiation degree, CRP, and NLR were independent risk factors for CLNM in LSCC patients(P<0.05). A nomogram was constructed based on these five factors. The model demonstrated excellent discrimination, with a C-index of 0.837(95%CI 0.766-0.908) in the training cohort and 0.809(95%CI 0.698-0.920) in the validation cohort. Calibration curves and DCA curves in both cohorts confirmed the clinical utility of the model. Sensitivity analysis further supported the robustness of the results, showing good discrimination and calibration across different age and BMI subgroups. Conclusion:Tumor location, tumor size, tumor differentiation degree, CRP, and NLR were independent risk factors for CLNM in LSCC patients. The nomogram based on these variables exhibits strong discrimination, calibration, and clinical applicability, and may serve as a valuable tool for preoperative risk assessment and individualized treatment planning.
Humans
;
Nomograms
;
Laryngeal Neoplasms/blood*
;
Retrospective Studies
;
Lymphatic Metastasis
;
Carcinoma, Squamous Cell/blood*
;
Lymph Nodes/pathology*
;
Male
;
Female
;
Middle Aged
;
Neck
;
C-Reactive Protein
;
Aged
;
Logistic Models
;
Neutrophils
;
Prognosis

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