1.Oncocytic mucoepidermoid carcinoma of the parotid gland: a clinicopathological report of two cases and literature review
ZHENG Fang ; NIE Mengdong ; QIANG Jinbiao ; JIN Ronghao ; WANG Dandan ; SHI Ce
Journal of Prevention and Treatment for Stomatological Diseases 2026;34(6):576-584
Objective:
To investigate the clinicopathological characteristics and diagnostic-therapeutic strategies of oncocytic mucoepidermoid carcinoma (OMEC) of the parotid gland, and to enhance awareness of this rare variant among clinicians and pathologists.
Methods:
The clinical data, imaging findings, histopathological features, immunophenotype, and molecular characteristics of two patients with parotid OMEC were retrospectively analyzed, and the relevant literature was reviewed.
Results:
Case 1 was a 50-year-old man who presented with a painless mass behind the right earlobe for more than 2 years. The patient underwent extended parotidectomy with preservation of the facial nerve. Histopathological examination revealed that the tumor was predominantly composed of oncocytic cells with a small proportion of mucous cells. Immunohistochemically, the tumor cells were partially positive for cytokeratin 5/6, cytokeratin 7, and P63. Special staining with alcian blue, periodic acid-Schiff, and phosphotungstic acid hematoxylin yielded positive results. The diagnosis of right parotid OMEC was established. No recurrence or metastasis was observed during a 1 year follow-up. Case 2 was a 61-year-old man with a 3-month history of a mass beneath the left ear. After partial parotidectomy at an outside institution, pathological consultation at the Stomatological Hospital of Jilin University demonstrated that the tumor consisted almost entirely of oncocytic cells, exhibited infiltrative growth, and lacked typical mucous, epidermoid, and intermediate cells. Fluorescence in situ hybridization confirmed positive mastermind-like transcriptional activator 2 (MAML2) gene rearrangement, establishing the diagnosis of left parotid OMEC. The patient subsequently underwent total parotidectomy with preservation of the facial nerve, and no recurrence was detected during a short-term 3 months follow-up. A review of the literature indicated that OMEC most commonly arises in the parotid gland and is generally a low-grade malignancy with favorable prognosis. When tumors are composed exclusively of oncocytic cells, exhibit minimal cytological atypia, and lack the classical cellular components of mucoepidermoid carcinoma, they are highly prone to misdiagnosis as oncocytoma, nodular oncocytic hyperplasia, or other benign oncocytic lesions. Accurate differential diagnosis relies on recognition of infiltrative growth patterns, supportive immunophenotypic markers (e.g., P63 positivity), and detection of characteristic MAML2 gene rearrangement. Complete surgical excision remains the treatment of choice. Conclusion OMEC dominated by oncocytic cells carries a high risk of clinical misdiagnosis. Integrating the assessment
Conclusion
OMEC dominated by oncocytic cells carries a high risk of clinical misdiagnosis. Integrating the assessment of infiltrative histopathological features with immunohistochemistry and molecular detection of MAML2 rearrangement is crucial for accurate diagnosis, appropriate assessment of tumor behavior, and optimal surgical decision making.
2.Diagnosis and differential diagnosis of mucin-rich salivary gland tumors
GUAN Weihang ; LIU Cangwei ; GUO Hao ; LI Jinwei ; WANG Dandan ; QIAO Chunyan ; NIE Mengdong ; QU Ming ; SHI Ce
Journal of Prevention and Treatment for Stomatological Diseases 2026;34(6):606-619
This paper systematically elaborates on the key points of diagnosis and differential diagnosis of salivary gland tumors characterized by a substantial amount of extracellular mucus as a main or prominent feature, and clarifies the core differential features. The term "mucus-rich" specifically denotes that mucus is a major component of the tumor, rather than a focal or minor one. This phenomenon is associated with distinct histogenetic mechanisms: it may result from specific genetic mutations (e.g., AKT1 E17K in mucinous adenocarcinoma) that drive ductal epithelial differentiation into mucus-secreting cells, or from myoepithelial cells secreting glycosaminoglycans that form a myxoid stroma. Salivary gland tumors with abundant extracellular mucus include mucinous cystadenoma, sialadenoma papilliferum-like intraductal papillary tumors, mucinous myoepithelioma, pleomorphic adenoma with mucin-rich stroma, mucinous adenocarcinoma, low-grade mucoepidermoid carcinoma, mucin-rich salivary duct carcinoma and intestinal-type adenocarcinoma. The diagnosis of these tumors is complicated by the dual nature of extracellular mucus: while it is a defining feature of some entities, it can also obscure key diagnostic architectural features in others, leading to histological overlap and inconspicuous diagnostic areas. Given the frequent histological morphological overlap among these tumors, immunohistochemical findings and molecular characteristics have emerged as crucial differential diagnostic criteria. Core differential diagnostic points include the following: histologically, there must be meticulous identification of typical structures obscured by mucin (such as squamoid cells in mucoepidermoid carcinoma and apocrine features in salivary duct carcinoma); in immunohistochemical staining, CK20 is useful for distinguishing intestinal-type adenocarcinoma (positive) from mucinous adenocarcinoma (negative), while androgen receptor aids in differentiating salivary duct carcinoma (positive) from mucoepidermoid carcinoma (negative); and molecular testing plays a critical role in definitive diagnosis (e.g., the AKT1 E17K mutation for mucinous adenocarcinoma, MAML2 rearrangement for mucoepidermoid carcinoma, and MEF2C::SS18 fusion for microsecretory adenocarcinoma). This paper systematically summarizes the core pathological features and differential diagnostic points of mucin-rich salivary gland tumors, aiming to provide a practical reference for clinical pathological diagnosis.
3.Expert consensus on the prevention and treatment of radiochemotherapy-induced oral mucositis.
Juan XIA ; Xiaoan TAO ; Qinchao HU ; Wei LUO ; Xiuzhen TONG ; Gang ZHOU ; Hongmei ZHOU ; Hong HUA ; Guoyao TANG ; Tong WU ; Qianming CHEN ; Yuan FAN ; Xiaobing GUAN ; Hongwei LIU ; Chaosu HU ; Yongmei ZHOU ; Xuemin SHEN ; Lan WU ; Xin ZENG ; Qing LIU ; Renchuan TAO ; Yuan HE ; Yang CAI ; Wenmei WANG ; Ying ZHANG ; Yingfang WU ; Minhai NIE ; Xin JIN ; Xiufeng WEI ; Yongzhan NIE ; Changqing YUAN ; Bin CHENG
International Journal of Oral Science 2025;17(1):54-54
Radiochemotherapy-induced oral mucositis (OM) is a common oral complication in patients with tumors following head and neck radiotherapy or chemotherapy. Erosion and ulcers are the main features of OM that seriously affect the quality of life of patients and even the progress of tumor treatment. To date, differences in clinical prevention and treatment plans for OM have been noted among doctors of various specialties, which has increased the uncertainty of treatment effects. On the basis of current research evidence, this expert consensus outlines risk factors, clinical manifestations, clinical grading, ancillary examinations, diagnostic basis, prevention and treatment strategies and efficacy indicators for OM. In addition to strategies such as basic oral care, anti-inflammatory and analgesic agents, anti-infective agents, pro-healing agents, and photobiotherapy recommended in previous guidelines, we also emphasize the role of traditional Chinese medicine in OM prevention and treatment. This expert consensus aims to provide references and guidance for dental physicians and oncologists in formulating strategies for OM prevention, diagnosis, and treatment, standardizing clinical practice, reducing OM occurrence, promoting healing, and improving the quality of life of patients.
Humans
;
Chemoradiotherapy/adverse effects*
;
Consensus
;
Risk Factors
;
Stomatitis/etiology*
4.Job Preferences of Centers for Disease Control and Prevention Workers: A Discrete Choice Experiment in China.
Yan GUO ; Han Lin NIE ; Hao CHEN ; Stephen NICHOLAS ; Elizabeth MAITLAND ; Si Si CHEN ; Lie Yu HUANG ; Xiu Min ZHANG ; Xue Feng SHI
Biomedical and Environmental Sciences 2025;38(6):740-750
OBJECTIVE:
This study explored the job choice preferences of Center for Disease Prevention and Control (CDC) workers to provide CDC management information and recommendations for optimizing employee retention and motivation policies.
METHODS:
A discrete choice experiment was conducted in nine provinces across China. Seven key attributes were identified to analyze the job preferences of CDC workers. Mixed logit models, latent class models, and policy simulation tools were used.
RESULTS:
A valid sample of 5,944 cases was included in the analysis. All seven attributes significantly influenced the job choices of CDC workers. Heterogeneity analyses identified two main groups based on different levels of preference for attribute utility. Income-prioritizers were concerned with income and opportunities for career development, whereas bianzhi-prioritizers were concerned with bianzhi and welfare benefits. The policy simulation analysis revealed that income-prioritizers had a relatively higher sensitivity to multiple job preference incentives.
CONCLUSION
Income and bianzhi were the two key attributes influencing the job choices and retention preferences of CDC workers. Heterogeneity in job preferences was also identified. Based on the preference characteristics of different subgroups, policy content should be skewed to differentiate the importance of incentives.
China
;
Humans
;
Male
;
Female
;
Adult
;
Centers for Disease Control and Prevention, U.S.
;
Middle Aged
;
Choice Behavior
;
Career Choice
;
Motivation
5.Value of spinal high temporal/high spatial resolution CE-MRA in the diagnosis of spinal dural arteriovenous fistulas.
Yihang SU ; Jilin NIE ; Bin CHEN ; Shuai YANG ; Changyong CHEN ; Weihua LIAO ; Qing ZHAO
Journal of Central South University(Medical Sciences) 2024;49(12):1927-1933
OBJECTIVES:
Digital subtraction angiography (DSA) is the current gold standard for diagnosing spinal dural arteriovenous fistulas (SDAVF). However, DSA is invasive and associated with risks such as ionizing radiation and iodine contrast allergy. Contrast-enhanced magnetic resonance angiography (CE-MRA) with high temporal/high spatial resolution allows dynamic multiphase contrast-enhanced imaging with excellent detail. This study aims to evaluate the diagnostic value of spinal CE-MRA with high temporal/high spatial resolution for SDAVF.
METHODS:
Clinical data were retrospectively collected from patients who underwent both conventional spinal MRI and high temporal/high spatial resolution CE-MRA at Xiangya Hospital between January 1, 2021, and January 1, 2024, and who subsequently underwent DSA or surgery within 90 days. Two experienced radiologists independently reviewed all conventional MRI and CE-MRA images. The sensitivity and specificity of conventional MRI and CE-MRA for diagnosing SDAVF were calculated against the gold standard DSA findings. Kappa statistics were used to evaluate the consistency of MRI and CE-MRA compared to DSA. The diagnostic value was further assessed by calculating the area under curve (AUC) of the receiver operating characteristic (ROC).
RESULTS:
A total of 60 patients were included, of whom 47 were diagnosed with SDAVF and 13 were not. Conventional MRI had 3 false negatives and 1 false positive; CE-MRA had 2 false positives and 0 false negative. The sensitivity and specificity of conventional MRI were 93.62% and 92.31%, respectively. CE-MRA demonstrated 100% sensitivity and 84.62% specificity. The main cause of false positives was the misidentification of posterior spinal arteries as feeding arteries. CE-MRA clearly displayed most feeding arteries, and the accuracy of fistula localization was 74.47% (35/47). Kappa values for conventional MRI and CE-MRA were 0.814 and 0.896, respectively (both P<0.001), indicating good agreement, with CE-MRA outperforming conventional MRI. The AUCs for diagnosing SDAVF were 0.930 for conventional MRI and 0.923 for CE-MRA (both P<0.05).
CONCLUSIONS
Spinal CE-MRA with high temporal/high spatial resolution is a reliable, non-invasive imaging technique with high sensitivity for diagnosing SDAVF. It can clearly visualize feeding arteries and provides valuable preoperative diagnostic and localization information to support DSA or surgical planning.
Humans
;
Central Nervous System Vascular Malformations/diagnosis*
;
Male
;
Female
;
Retrospective Studies
;
Middle Aged
;
Magnetic Resonance Angiography/methods*
;
Angiography, Digital Subtraction/methods*
;
Aged
;
Adult
;
Sensitivity and Specificity
;
Contrast Media
;
Magnetic Resonance Imaging/methods*
6.Molecularly engineered truncated tissue factor with therapeutic aptamers for tumor-targeted delivery and vascular infarction.
Bozhao LI ; Jingyan WEI ; Chunzhi DI ; Zefang LU ; Feilong QI ; Yinlong ZHANG ; Wei Sun LEONG ; Lele LI ; Guangjun NIE ; Suping LI
Acta Pharmaceutica Sinica B 2021;11(7):2059-2069
Selective occlusion of tumor vasculature has proven to be an effective strategy for cancer therapy. Among vascular coagulation agents, the extracellular domain of coagulation-inducing protein tissue factor, truncated tissue factor (tTF), is the most widely used. Since the truncated protein exhibits no coagulation activity and is rapidly cleared in the circulation, free tTF cannot be used for cancer treatment on its own but must be combined with other moieties. We here developed a novel, tumor-specific tTF delivery system through coupling tTF with the DNA aptamer, AS1411, which selectively binds to nucleolin receptors overexpressing on the surface of tumor vascular endothelial cells and is specifically cytotoxic to target cells. Systemic administration of the tTF-AS1411 conjugates into tumor-bearing animals induced intravascular thrombosis solely in tumors, thus reducing tumor blood supply and inducing tumor necrosis without apparent side effects. This conjugate represents a uniquely attractive candidate for the clinical translation of vessel occlusion agent for cancer therapy.
7.Expression and evaluation of porcine circovirus type 2 capsid protein mediated by recombinant adenoassociated virus 8
Shuang LI ; Bo WANG ; Shun JIANG ; Xiaohui LAN ; Yongbo QIAO ; Jiaojiao NIE ; Yuhe YIN ; Yuhua SHI ; Wei KONG ; Yaming SHAN
Journal of Veterinary Science 2021;22(1):e8-
Background:
Porcine circovirus type 2 (PCV2) is an important infectious pathogen implicated in porcine circovirus-associated diseases (PCVAD), which has caused significant economic losses in the pig industry worldwide.
Objectives:
A suitable viral vector-mediated gene transfer platform for the expression of the capsid protein (Cap) is an attractive strategy.
Methods:
In the present study, a recombinant adeno-associated virus 8 (rAAV8) vector was constructed to encode Cap (Cap-rAAV) in vitro and in vitro after gene transfer.
Results:
The obtained results showed that Cap could be expressed in HEK293T cells and BABL/c mice. The results of lymphocytes proliferative, as well as immunoglobulin G (IgG) 2a and interferon-γ showed strong cellular immune responses induced by Cap-rAAV. The enzyme-linked immunosorbent assay titers obtained and the IgG1 and interleukin-4 levels showed that humoral immune responses were also induced by Cap-rAAV. Altogether, these results demonstrated that the rAAV8 vaccine Cap-rAAV can induce strong cellular and humoral immune responses, indicating a potential rAAV8 vaccine against PCV2.
Conclusions
The injection of rAAV8 encoding PCV2 Cap genes into muscle tissue can ensure long-term, continuous, and systemic expression.
8.Deep learning applied to two-dimensional color Doppler flow imaging ultrasound images significantly improves diagnostic performance in the classification of breast masses: a multicenter study.
Teng-Fei YU ; Wen HE ; Cong-Gui GAN ; Ming-Chang ZHAO ; Qiang ZHU ; Wei ZHANG ; Hui WANG ; Yu-Kun LUO ; Fang NIE ; Li-Jun YUAN ; Yong WANG ; Yan-Li GUO ; Jian-Jun YUAN ; Li-Tao RUAN ; Yi-Cheng WANG ; Rui-Fang ZHANG ; Hong-Xia ZHANG ; Bin NING ; Hai-Man SONG ; Shuai ZHENG ; Yi LI ; Yang GUANG
Chinese Medical Journal 2021;134(4):415-424
BACKGROUND:
The current deep learning diagnosis of breast masses is mainly reflected by the diagnosis of benign and malignant lesions. In China, breast masses are divided into four categories according to the treatment method: inflammatory masses, adenosis, benign tumors, and malignant tumors. These categorizations are important for guiding clinical treatment. In this study, we aimed to develop a convolutional neural network (CNN) for classification of these four breast mass types using ultrasound (US) images.
METHODS:
Taking breast biopsy or pathological examinations as the reference standard, CNNs were used to establish models for the four-way classification of 3623 breast cancer patients from 13 centers. The patients were randomly divided into training and test groups (n = 1810 vs. n = 1813). Separate models were created for two-dimensional (2D) images only, 2D and color Doppler flow imaging (2D-CDFI), and 2D-CDFI and pulsed wave Doppler (2D-CDFI-PW) images. The performance of these three models was compared using sensitivity, specificity, area under receiver operating characteristic curve (AUC), positive (PPV) and negative predictive values (NPV), positive (LR+) and negative likelihood ratios (LR-), and the performance of the 2D model was further compared between masses of different sizes with above statistical indicators, between images from different hospitals with AUC, and with the performance of 37 radiologists.
RESULTS:
The accuracies of the 2D, 2D-CDFI, and 2D-CDFI-PW models on the test set were 87.9%, 89.2%, and 88.7%, respectively. The AUCs for classification of benign tumors, malignant tumors, inflammatory masses, and adenosis were 0.90, 0.91, 0.90, and 0.89, respectively (95% confidence intervals [CIs], 0.87-0.91, 0.89-0.92, 0.87-0.91, and 0.86-0.90). The 2D-CDFI model showed better accuracy (89.2%) on the test set than the 2D (87.9%) and 2D-CDFI-PW (88.7%) models. The 2D model showed accuracy of 81.7% on breast masses ≤1 cm and 82.3% on breast masses >1 cm; there was a significant difference between the two groups (P < 0.001). The accuracy of the CNN classifications for the test set (89.2%) was significantly higher than that of all the radiologists (30%).
CONCLUSIONS:
The CNN may have high accuracy for classification of US images of breast masses and perform significantly better than human radiologists.
TRIAL REGISTRATION
Chictr.org, ChiCTR1900021375; http://www.chictr.org.cn/showproj.aspx?proj=33139.
Area Under Curve
;
Breast/diagnostic imaging*
;
Breast Neoplasms/diagnostic imaging*
;
China
;
Deep Learning
;
Humans
;
ROC Curve
;
Sensitivity and Specificity
9.Improved Research of Adjustable External Fixation Device for Lower Limbs Based on Semiconductor Refrigeration Sheet.
Xiaojie XU ; Liyan ZHANG ; Jianyong LI ; Ruiqi LIU ; Lin LOU ; Shuai ZHAO ; Hailiang CHEN ; Qiang WANG ; Xuewei WU ; Ruida JI ; Tao TANG ; Ying NIE
Chinese Journal of Medical Instrumentation 2020;44(6):499-502
A kind of adjustable external fixation device for lower extremity is designed. The circuit is mainly composed of TEC1-00703 semiconductor refrigeration chip, HZC-30A pressure sensor, STC89C52RC single chip microcomputer and other electrical components. It can realize the timing intelligent temperature control and meet the local fixed-point refrigeration. The design of adjustable structure and the application of intelligent air cushion can satisfy the full fixation of lower limbs of different individuals. Its operation does not need much medical knowledge. It can solve the problem of emergency transportation and follow-up treatment of lower limb injury in ice and snow sports. It has a good application prospect and universality.
External Fixators
;
Fracture Fixation
;
Humans
;
Lower Extremity
;
Refrigeration
;
Semiconductors
10. Guidance on strengthening the management processes of children′s fever in outpatient department during the novel coronavirus pneumonia epidemic period (First Edition)
Guocheng ZHANG ; Xiaoning CHENG ; Hui DING ; Zhaoling SHI ; Ruying LI ; Zhou FU ; Qiang CHEN ; Dongchi ZHAO ; Runming JIN ; Guoming NIE ; Jirong LU ; Changshan LIU ; Deyu ZHAO ; Jiahua PAN ; Zhichun FENG ; Yuan SHI ; Zhengkun XIA ; Chengzhong ZHENG ; Jinjin JIANG ; Junxia WANG ; Yuejie ZHENG ; Yunxiao SHANG ; Wei XIANG ; Baoping XU ; Kunling SHEN ; Tianyou WANG ; Yonghong YANG ; Quan LU
Chinese Journal of Applied Clinical Pediatrics 2020;35(2):97-104
Novel Coronavirus Pneumonia (NCP) is a class B infectious disease, which is prevented and controlled according to class A infectious diseases. Recently, children′s NCP cases have gradually increased, and children′s fever outpatient department has become the first strategic pass to stop the epidemic. Strengthening the management of the fever diagnosis process is very important for early detection of suspected children, early isolation, early treatment and prevention of cross-infection. This article proposes prevention and control strategies for fever diagnosis, optimizes processes, prevents cross-infection, health protection and disinfection of medical staff, based on the relevant diagnosis, treatment, prevention and control programs of the National Health and Health Commission and on the diagnosis and treatment experience of experts in various provinces and cities. The present guidance summarizes current strategies on pre-diagnosis; triage, diagnosis, treatment, and prevention of 2019-nCoV infection in common fever, suspected and confirmed children, which provide practical suggestions on strengthening the management processes of children′s fever in outpatient department during the novel coronavirus pneumonia epidemic period.


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