Search

Lu Zhang, Qing Wang, Hongwei Zhang, Yu Xie, Long Sui, Qing Cong Medical Center of Diagnosis and Treatment for Cervical Diseases, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, People’s Republic of ChinaCorrespondence: Qing Cong; Long SuiMedical Center of Diagnosis and Treatment for Cervical Diseases, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, People’s Republic of ChinaTel +86 15900798278; +86 13801788118Fax +86 21 33189900Email 151468770@qq.com; suilong@fudan.edu.cnPurpose: To examine the screening history of vaginal intraepithelial neoplasia (VaIN) and vaginal cancer.Patients and Methods: We included women with histologically confirmed VaIN or vaginal cancer by colposcopy-directed biopsy between 1 January 2019 and 31 December 2019. The results of cytology, hrHPV, colposcopic examination and history of hysterectomy were retrospectively analysed.Results: A total of 26,432 colposcopies were performed during the study period, among which 2131 women (1835 [86.1%] with VaIN 1; 268 [12.6%] with VaIN 2/3; and 28 [1.3%] with vaginal cancer) were retrospectively studied. hrHPV test positivity was significantly higher than that of cytology for VaIN 1 (84.4% vs 67.3%; P < 0.001) and VaIN 2/3 (92.0% vs 79.9%; P < 0.001) but not for vaginal cancer (84.6% vs 78.6%; P = 0.73). Additionally, the concordance rates for colposcopic impression were 79.5%, 54.5%, and 92.8% for VaIN1, VaIN2/3, and vaginal cancer, respectively. All 372 patients had a history of hysterectomy, and 81.0% (282/348) of indications were related to cervical precancer and cancer. Although cytology test positivity was significantly higher in patients with hysterectomy than in patients without hysterectomy (76.2% vs 67.5%; P < 0.001), cytology combined with hrHPV can help to detect more than 95% of VaIN and vaginal cancer cases in both groups (96.2% for patients with hysterectomy and 96.5% for patients without hysterectomy).Conclusion: VaIN and vaginal cancer are not rare diseases. Although cytology was sensitive (67.5%– 76.2%) for detecting vaginal lesions regardless of hysterectomy, cytology combined with hrHPV improves detection accuracy up to 95% in both groups.Keywords: cytology, human papilloma virus, colposcopy, vaginal intraepithelial neoplasia, vaginal cancer

Yanyun Li,1,&ast; Ying-Xin Gong,1,&ast; Qing Wang,1 Shujun Gao,1 Hongwei Zhang,1 Feng Xie,1 Qing Cong,1 Limei Chen,1 Qi Zhou,1 Zubei Hong,2 Lihua Qiu,2 Fang Li,3 Yu Xie,1 Long Sui1 1Department of Gynecology and Obstetrics, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, People’s Republic of China; 2Department of Gynecology and Obstetrics, Renji Hospital of Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China; 3Department of Gynecology and Obstetrics, Shanghai Dongfang Hospital of Tongji University, Shanghai, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Long Sui; Yu XieObstetrics and Gynecology Hospital of Fudan University, 419 Fangxie Road, Shanghai, 200011, People’s Republic of ChinaTel +86-21-33189900Fax +86-21-63450900Email suilong@fudan.edu.cn; yuxie18@fudan.edu.cnPurpose: Early-stage cervical cancer is usually diagnosed by colposcopy-directed biopsy (CDB) and/or endocervical curettage (ECC), but some neglected lesions must be detected by conization because they are occult. This study aimed to explore the optimal method for detecting these “occult” cervical cancers.Patients and Methods: A total of 1299 patients who were high-risk for early-stage cervical cancer from five centres in China were prospectively included. We evaluated the diagnostic performance of cytology, HPV testing, colposcopy and CDB&ECC for detecting “occult” cervical cancer and discussed the diagnostic importance of transformation zone (TZ) type, conization length and the proportion of cervical cone excision.Results: The diagnostic agreement between colposcopy impression and conization was 64.5% and 72.4% between CDB&ECC and conization. Forty-two patients were finally diagnosed with pathologic cancer, and the sensitivities of cytology, colposcopy, CDB&ECC were 4.8%, 7.1%, and 47.4%, respectively. Twenty cases were neglected by CDB&ECC but further diagnosed as cancer by conization, considered to be occult cervical cancer, accounting for 1.6%. Cytologic high-grade squamous intraepithelial lesion (HSIL)+, positive HPV, biopsy HSIL+ and cervical TZ type 3 were considered risk factors for developing HSIL+, while colposcopy impression HSIL+ was not. There was a significant difference between cancerous and HSIL patients in the proportion of cervical cone excision (P< 0.001), which was recognized as a risk factor (P< 0.001) for detecting cancer, while the length of cervical cone excision was not. The average proportion was 0.62, and the minimal effective proportion was 0.56.Conclusion: Since the incidence of occult cervical cancer neglected by CDB&ECC, colposcopy and cytology was far beyond expectations, conization is necessary, especially in patients with TZ type 3, high-grade cytology and biopsy results. As the cervical length varies in patients, the proportion of cervical cone excision might be a better indicator for detecting occult cervical cancer.Keywords: cervical conization, colposcopy-directed biopsy, high-grade intraepithelial lesion, length proportion, occult cervical cancer, transformation zone

AIM To assess the performance of the apparent diffusion coefficient (ADC) and relative ADC (rADC) to differentiate benign from malignant breast lesions using the plateau pattern of the time–intensity curve (Type II TIC), including the impact of lesions-enhancement subtypes and menopausal status of patients. MATERIALS AND METHODS Between September 2016 and December 2019, 408 patients with 169 benign and 239 malignant lesions with Type II TIC underwent magnetic resonance imaging (MRI), including diffusion-weighted imaging, with b-values of 50 and 800 s/mm2. ADC and rADC values were calculated by placing regions of interest (ROIs) on the lesion, the parenchyma of the normal breast, and the pectoralis major muscle. A receiver operating characteristic (ROC) curve was generated to compare the diagnostic performance of each parameter in distinguishing between benign and malignant breast lesions. Further classification was undertaken to study the discriminatory performance of each parameter in the different lesions enhancement subtypes (mass-like enhancement [MLE] and non-MLE [NMLE]) and menopausal status of patients (pre-menopausal and post-menopausal). RESULTS There was a significant difference in the ADC and rADC values between benign and malignant lesions. The sensitivities of lesion ADC, gland rADC, and muscle rADC were 79.29%, 77.51%, and 79.29%, respectively, with specificities of 94.56%, 82.01%, and 94.98%, respectively. The area under the ROC curve (AUC) of muscle rADC was the highest (AUC=0.92), especially in the MLE subtype (AUC=0.96), and was not affected by the menopausal status. CONCLUSION Muscle rADC and lesion ADC assessment improved the diagnostic performance of breast MRI in distinguishing between benign and malignant breast lesions with Type II TIC, especially muscle rADC in the MLE subtype.

To systematically investigate the effect of imaging features at different DCE-MRI phases to optimise a radiomics model based on DCE-MRI for the prediction of tumour-infiltrating lymphocyte (TIL) levels in breast cancer. This study retrospectively collected 133 patients with pathologically proven breast cancer, including 73 patients with low TIL levels and 60 patients with high TIL levels. The volumes of breast cancer lesions were manually delineated on T2-weighted imaging (T2WI), diffusion-weighted imaging (DWI), and each phase of DCE-MRI, followed by 6250 quantitative feature extractions. The least absolute shrinkage and selection operator (LASSO) method was used to select predictive feature sets for the classifiers. Four models were developed for predicting TILs: (1) single enhanced phase radiomics models; (2) fusion enhanced multi-phase radiomics models; (3) fusion multi-sequence radiomics models; and (4) a combined radiomics-based clinical model. Image features extracted from the delayed phase MRI, especially DCE_Phase 6 (DCE_P6), demonstrated dominant predictive performances over features from other phases. The fusion multi-sequence radiomics model and combined radiomics-based clinical model achieved the highest predictive performances with areas under the curve (AUCs) of 0.934 and 0.950, respectively; however, the differences were not statistically significant. The DCE-MRI radiomics model, especially image features extracted from the delayed phases, can help improve the performance in predicting TILs. The radiomics nomogram is effective in predicting TILs in breast cancer. • Radiomics features extracted from DCE-MRI, especially delayed phase images, help predict TIL levels in breast cancer. • We developed a nomogram based on MRI to predict TILs in breast cancer that achieved the highest AUC of 0.950.

Objectives. To evaluate the value of the whole volume apparent diffusion coefficient (ADC) histogram in distinguishing between benign and malignant breast lesions and differentiating different molecular subtypes of breast cancers and to assess the correlation between ADC histogram parameters and Ki-67 expression in breast cancers. Methods. The institutional review board approved this retrospective study. Between September 2016 and February 2019, 189 patients with 84 benign lesions and 105 breast cancers underwent magnetic resonance imaging (MRI). Volumetric ADC histograms were created by placing regions of interest (ROIs) on the whole lesion. The relationships between the ADC parameters and Ki-67 were analysed using Spearman’s correlation analysis. Results. Of the 189 breast lesions included, there were significant differences in patient age ( P < 0.001 ) and lesion size ( P = 0.006 ) between the benign and malignant lesions. The results also demonstrated significant differences in all ADC histogram parameters between benign and malignant lesions (all P < 0.001 ). The median and mean ADC histogram parameters performed better than the other ADC histogram parameters (AUCs were 0.943 and 0.930, respectively). The receiver operating characteristic (ROC) analysis revealed that the 10th percentile ADC value and entropy could determine the human epidermal growth factor receptor 2 (HER-2) status (both P = 0.001 ) and estrogen receptor (ER)/progesterone receptor (PR) status ( P = 0.020 and P = 0.041 , respectively). Among all breast cancer lesions, 35 tumours in the low-proliferation group ( Ki − 67 < 14 % ) and 70 tumours in the high-proliferation group ( Ki − 67 ≥ 14 ) were analysed with ROC curves and correlation analyses. The ROC analysis revealed that entropy and skewness could determine the Ki-67 status ( P = 0.007 and P < 0.001 , respectively), and there were weak correlations between ADC entropy ( r = 0.383 ) and skewness ( r = 0.209 ) and the Ki-67 index. Conclusion. The volumetric ADC histogram could serve as an imaging marker to determine breast lesion characteristics and may be a supplemental method in predicting tumour proliferation in breast cancer.

More users suffering from depression turn to online forums to express their problems and seek help. In such forums, there is often a large volume of posts with sensitive content, indicating that the user has a risk of suicide and self-harm. Early detection of depression using appropriate deep learning models and social media data can prevent potential self-harm. However, existing depression detection models are not powerful enough to capture critical sentiment information from the large volume of posts published by each user, which makes the performance of these models not satisfying. To address this problem, we propose a hierarchical posts representations model named Multi-Gated LeakyReLU CNN (MGL-CNN) for identifying depressed individuals in online forums. The model consists of two parts: the first one is a post-level operation, which is used to learn the representation of each post of the user, and the second one is a user-level operation, which is used to obtain the overall representation of the user's emotional state. Besides, we propose another depression detection model by changing the number of gated units in the MGL-CNN, which is named Single-Gated LeakyReLU CNN (SGL-CNN). We show how to use our models to identify depressed users through a lot of posted content. Experimental results showed that our models performed better than the previous state-of-the-art models on the Reddit Self-reported Depression Diagnosis dataset, and also performed well on the Early Detection of Depression dataset.

Background: Emerging evidences have indicated that the aberrant expression of long noncoding RNAs (lncRNAs) was responsible for drug resistance, which represents a major obstacle for chemotherapy failure. Our previous study has showed that small nuclear RNA host gene 12 (SNHG12) was increased and contributed to cell growth and invasion in cervical cancer. In the present study, we aimed to investigate the role of the lncRNA SNHG12 in cisplatin (DDP) resistance and elucidate its underlying mechanisms in cervical cancer.Methods: The expression and prognosis of SNHG12 in cervical cancer tissues were evaluated based on bioinformatics. MTT, colony formation assay and flow cytometer were performed to detect cell viability. Further, Molecular relationships among CTD-3252C9.4, IRF1 and IFI6 were investigated via luciferase reporter assay, western blot, and qRT-PCR. Finally, subcutaneous xenograft model was established to verify our findings.Results: In the present study, we evaluated the cell apoptosis and half maximal inhibitory concentration (IC50) of cervical cancer upon DDP treatment. Mechanically, we found that SNHG12 upregulated WEE1 expression to regulate cell and DDP resistance via sponging miR-503-5p. Moreover, SNHG12 silencing inhibited the growth of DDP-resistant cervical cancer tumors in vivo. Conclusions: Taken together, our findings suggested that a SNHG12/miR-503-5p/ WEE1 axis which modulated the chemoresistance of cervical cancer cell to DDP, and provided promising targets for dealing with the chemoresistance of cervical cancer.

Aspect-based sentiment analysis (ABSA) aims to determine the sentiment polarity of the specific aspect for a given sentence. Attention-based models are widely used in this task because they can extract semantic information between context words to make up for the deficiency of sequence models in semantic encoding. In order to enhance the extraction of high-quality semantic information, we propose a novel joint model with Second-Order Features and Matching Attention (SOMA) for aspect-based sentiment analysis. Firstly, we introduce the second-order statistics to extract vital information and interact with the first-order features to generate the interaction representation. Secondly, we adopt Euclidean distance to replace the traditional matrix transformation to capture the semantic similarity between aspect terms and context words. Finally, we form a joint representation to focus on the meaningful words in the sentence. We conduct extensive experiments and comparisons on SemEval 2014, SemEval 2016, and Twitter datasets. Experimental results demonstrate the effectiveness of our model.

The aim of the study was to investigate the value of cytology, high-risk human papillomavirus (hrHPV) status and colposcopy in the early diagnosis of vaginal cancer after hysterectomy.A retrospective study was performed in the Obstetrics and Gynecology Hospital of Fudan University. Posthysterectomy patients who were diagnosed with vaginal high-grade intraepithelial lesion (HSIL) by colposcopy-directed biopsy with colposcopy impression of extensive HSIL or suspicion of cancer and underwent upper or total vaginectomy from January 2009 to December 2017 were included.Eighty-six posthysterectomy vaginal HSIL patients were included. Available abnormal cytology and positive hrHPV were observed in 90.7% (49/54) and 96.2% (51/53) of the patients, respectively. A total of 18.6% (16/86) of the patients were diagnosed with squamous cell cancer by vaginectomy, and the average interval between hysterectomy and vaginectomy was 3.5 years. Among them, 62.5% (10/16) cancers occurred after hysterectomy for cervical cancer, 31.2% (5/16) after hysterectomy for cervical precancer, and 6.3% (1/16) after hysterectomy for myoma. An indication for hysterectomy (cervical cancer vs HSIL, odds ratio = 7.2, 95% CI = 1.9-28.0, p = .004) and colposcopy impression of vaginal cancer (vaginal cancer vs HSIL, odds ratio = 5.9, 95% CI = 1.3-26.8, p = .021) were high-risk factors of cancer confirmed by vaginectomy in colposcopy-directed biopsy vaginal intraepithelial neoplasia 2/3 posthysterectomy in multiple logistic regression analysis.Colposcopy is pivotal in the evaluation of abnormal cytology/hrHPV tests in follow-up of cervical cancer patients after hysterectomy and decision-making for vaginectomy in detecting early cancer.

Introduction We investigated the prevalence and carcinogenic risks of individual high-risk human papillomavirus (HR-HPV) in all types of cervical cytology specimens in the Shanghai population. Methods A total of 124,251 cases with cotesting of cytology and HPV genotyping between October 2017 and February 2020 were included. Results The overall HPV positive rate was 24.3%, with 22.9% for HR-HPV and 6.1% for low-risk HPV. The top five most common HR-HPV subtypes were HPV 52/16/58/53/39 in the entire studied population, and HPV 16/53/56/51/39 in women with abnormal cytology. The most prevalent subtypes in negative/LSIL, HSIL, and glandular lesions were HPV 52, 16, and 18, respectively. HPV 16, 33, 26, 18, 58, and 82 were the most common subtypes significantly associated with an increased risk for HSIL + cytology. HPV 16/18 were present in 53.6% and 66.7%, and HPV 16/18/31/33/45/52/58 were identified in 90.3% and 80.1% of HSIL and squamous cell carcinoma cytology, respectively. HPV 16/18 and HPV 16/18/31/33/45/52/58 were detected in 37.0% and 44.4% of women with cytologic interpretation of in situ and invasive adenocarcinoma. Conclusions This large-scale study identified the most common HPV subtypes in each cytology category, and the carcinogenic risks of individual HR-HPV in the studied Shanghai population. The results would provide valuable information for the development of next-generation HPV vaccines and cervical cancer screening programs for the Chinese population, and, more specifically, the Shanghai metropolitan population.

Objective The effect of lumbar traction on low back pain (LBP) patients is controversial. Our study aims to assess changes in the intervertebral disc water content after lumbar traction using T2 mapping and explore the correlation between changes in the T2 value and Oswestry Disability Index (ODI)/visual analogue scale (VAS) score. Design Lumbar spine magnetic resonance imaging was performed, and the ODI/VAS scores were recorded in all 48 patients. Midsagittal T2-weighted imaging and T2 mapping were performed to determine the Pfirrmann grade and T2 value. Then, the T2 values were compared between pre- and posttraction, and the correlation between changes in the T2 value and ODI/VAS scores were examined. Results In the traction group, the changes in the nucleus pulposus (NP) T2 values for Pfirrmann grades II-IV and the annulus fibrosus (AF) T2 values for Pfirrmann grade II were statistically significant after traction ( P < 0.05). Changes in the mean NP T2 value of 5 discs in each patient and in the ODI/VAS score showed a strong correlation ( r = 0.822, r = 0.793). Conclusion T2 mapping can be used to evaluate changes in the intervertebral disc water content. Ten sessions of traction resulted in a significant increase in quantitative T2 measurements of the NP in discs for Pfirrmann grade II-IV degeneration and remission of the patients’ clinical symptoms in the following 6 months. Changes in the mean NP T2 value of 5 discs in each patient were strongly correlated with changes in the ODI/VAS score.

Qing Cong,1,2,* Ling Lin,1,3,* Biao Qi,4 Congjian Xu,1,2 Xiaoyan Zhang1,2 1Obstetrics and Gynecology Hospital, Fudan University, Shanghai, People’s Republic of China; 2Shanghai Key Laboratory of Female Reproductive Endocrine Related Diseases, Shanghai, People’s Republic of China; 3Institutes of Biomedical Sciences of Shanghai Medical School, Fudan University, Shanghai, People’s Republic of China; 4Xiamen Branch, Zhongshan Hospital, Fudan University, Xiamen, People’s Republic of China*These authors contributed equally to this workCorrespondence: Congjian Xu; Xiaoyan ZhangDepartment of Gynecology, Obstetrics and Gynecology Hospital, Fudan University, Shanghai, 200011, People’s Republic of ChinaEmail xucj@hotmail.com; zhxy@fudan.edu.cnPurpose: To alleviate the sufferings of the chemotherapy patients, we developed a novel active targeted therapeutic system and showed its potential as a promising drug delivery strategy.Methods: We utilized the human chorionic gonadotropin (HCG) ligand-receptor mediation to make an actively targeted drug delivery system with optimal HCG polypeptide fragment as target head base, polyethylene glycol–polylactic acid copolymers as nanometer materials to load chemotherapy drug methotrexate (MTX), to highly selectively deliver MTX into choriocarcinoma lesions, and to investigate the efficacy, targeting and tolerability of the complex in vitro experiments.Results: Our data show that choriocarcinoma cell lines JEG-3 and JAR exhibited high expression levels of HCG receptor, peptide HCGβ 81-95 specifically bonded to HCG receptor-positive cells and HCG81-NP efficiently delivered MTX to choriocarcinoma cells. HCG81-NP-MTX inhibited cell proliferation and reduced G0/G1 to S phase transition in JEG-3 and JAR cells.Conclusion: We designed an active targeting therapy system of choriocarcinoma, significantly improved chemotherapy efficacy in vitro, and provided a theoretical basis for the treatment of malignant trophoblastic tumors.Keywords: choriocarcinoma, human chorionic gonadotropin, nanoparticle, methotrexate, cell proliferation

PurposeTo assess whether apparent diffusion coefficient (ADC) metrics can be used to assess tumor-infiltrating lymphocyte (TIL) levels in breast cancer, particularly in the molecular subtypes of breast cancer.MethodsIn total, 114 patients with breast cancer met the inclusion criteria (mean age: 52 years; range: 29–85 years) and underwent multi-parametric breast magnetic resonance imaging (MRI). The patients were imaged by diffusion-weighted (DW)-MRI (1.5 T) using a single-shot spin-echo echo-planar imaging sequence. Two readers independently drew a region of interest (ROI) on the ADC maps of the whole tumor. The mean ADC and histogram parameters (10th, 25th, 50th, 75th, and 90th percentiles of ADC, skewness, entropy, and kurtosis) were used as features to analyze associations with the TIL levels in breast cancer. Additionally, the correlation between the ADC values and Ki-67 expression were analyzed. Continuous variables were compared with Student’s t-test or Mann-Whitney U test if the variables were not normally distributed. Categorical variables were compared using Pearson’s chi-square test or Fisher’s exact test. Associations between TIL levels and imaging features were evaluated by the Mann-Whitney U and Kruskal-Wallis tests.ResultsA statistically significant difference existed in the 10th and 25th percentile ADC values between the low and high TIL groups in breast cancer (P=0.012 and 0.027). For the luminal subtype of breast cancer, the 10th percentile ADC value was significantly lower in the low TIL group (P=0.041); for the non-luminal subtype of breast cancer, the kurtosis was significantly lower in the low TIL group (P=0.023). The Ki-67 index showed statistical significance for evaluating the TIL levels in breast cancer (P=0.007). Additionally, the skewness was significantly higher for samples with high Ki-67 levels in breast cancer (P=0.029).ConclusionsOur findings suggest that whole-lesion ADC histogram parameters can be used as surrogate biomarkers to evaluate TIL levels in molecular subtypes of breast cancer.

Lichen sclerosus (LS) is a chronic inflammatory disease with a potential for atrophy, destructive scarring, functional impairment, and increased risk of malignant evolution. 1 , 2 Notably, a significant number of LS patients are asymptomatic. It is most frequently seen in the anogenital area. 3 Women with vulvar LS often present with severe pruritus and soreness of the vulvar and perianal areas. 4 In advanced stages, there is destruction of the vulvar anatomy. 2 If untreated, it is associated with a 2% to 6% lifetime risk of malignant squamous neoplasia of the vulva. 5 , 6 , 7 Otherwise, potent topical corticosteroid is the gold standard for obtaining remission and reducing malignancy in vulvar LS. 7 , 8 Despite the possibility for treatment, the true etiology of LS remains unknown. 7 In long‐standing and classic LS, the lymphocytic infiltrate is located under a band of homogenized collagen below the dermo‐epidermal junction. 9 One study showed a significantly increase of pro‐inflammatory cytokines in LS patients. 10 We hypothesize that the elevated inflammation of LS leads to alteration of smooth muscle, subcutaneous adipose tissue, extracellular matrix (ECM), and innervation of the vulva and aim to evaluate the changes of tissues by testing the expression of marker genes. To avoid the disturbance of various treatments, only untreated patients were included for this study.

OBJECTIVE The aim of the study was to estimate risks of cervical intraepithelial neoplasia 2+ (CIN 2+) on loop electrosurgical excisional procedure (LEEP) specimens with the diagnosis of endocervical curettage (ECC) CIN 1 compared with biopsy CIN 1. MATERIALS AND METHODS We performed a retrospective computer-based search for subjects enrolled in the Obstetrics and Gynecology Hospital of Fudan University. The case group comprised women with an ECC CIN 1 (ECC results of CIN 1 with colposcopy-directed biopsy results ≤CIN 1), and the control group comprised women with a biopsy CIN 1 (colposcopy-directed biopsy results of CIN 1 with negative ECC findings) diagnosis. Variables, including age, cytology, high-risk human papillomavirus, and ECC results, were included in univariate and multivariate logistic regression analyses. p < .05 was defined statistically significant. RESULTS Overall, 1,195 women with ECC CIN 1 and/or biopsy CIN 1 diagnosis who underwent LEEP participated in the study. ECC CIN 1 comprised 400 women, with LEEP histopathology results revealing 104 (26.00%) CIN 2+. Biopsy CIN 1 comprised 795 women, with LEEP histopathology results showing 150 (18.87%) CIN 2+. Univariate logistic regression showed that cytology (p < .001) and ECC (p = .005) results differ significantly between less than CIN 2+ and CIN 2+. Multivariate logistic regression revealed that the cytology of atypical squamous cells, cannot exclude high-grade squamous intraepithelial lesions (OR = 4.73, 95% CI = 2.78-8.05, p < .001) and high-grade squamous intraepithelial lesions or worse (HSIL+, OR = 4.88, 95% CI = 3.00-7.94, p < .001), and ECC CIN 1 (OR = 1.80, 95% CI = 1.33-2.44, p < .001) were risk factors for CIN 2 + . CONCLUSIONS Endocervical curettage CIN 1 has a greater risk of CIN 2+ diagnosis than biopsy CIN 1, but high-grade cytology has a higher risk than ECC CIN 1.

The high mortality rate of ovarian cancer is connected with the development of acquired resistance to multiple cancer drugs, especially cisplatin. Activation of cytoprotective autophagy has been implicated as a contributing mechanism for acquired cisplatin resistance in ovarian cancer cells. Hexokinase 2 (HK2) phosphorylates glucose to generate glucose-6-phosphate, the rate-limiting step in glycolysis. Higher HK2 expression has been associated with chemoresistance in ovarian cancer. However, whether HK2 functionally contributes to cisplatin resistance in ovarian cancer is unclear. In this study, we investigated the role of HK2 in regulating ovarian cancer cisplatin resistance. Increased HK2 levels were detected in drug-resistant human ovarian cancer cells and tissues. Cisplatin downregulated HK2 in cisplatin-sensitive but not in resistant ovarian cancer cells. HK2 knockdown sensitized resistant ovarian cancer cells to cisplatin-induced cell death and apoptosis. Conversely, HK2 overexpression in cisplatin-sensitive cells induced cisplatin resistance. Mechanistically, cisplatin increased ERK1/2 phosphorylation as well as autophagic activity. Blocking autophagy with the autophagy inhibitor 3-MA sensitized resistant ovarian cancer cells to cisplatin. HK2 overexpression enhanced cisplatin-induced ERK1/2 phosphorylation and autophagy while HK2 knockdown showed the opposite effects. Blocking the MEK/ERK pathway using the MEK inhibitor U0126 prevented cisplatin-induced autophagy enhanced by HK2 overexpression. Furthermore, HK2 knockdown sensitized resistance ovarian tumor xenografts to cisplatin in vivo. In conclusion, our data supported that HK2 promotes cisplatin resistance in ovarian cancer by enhancing drug-induced, ERK-mediated autophagy. Therefore, targeting HK2 may be a new therapeutic strategy to combat chemoresistance in ovarian cancer.

Purpose To assess the diagnostic accuracy of magnetic resonance (MR) imaging for differentiating stage T1 or lower tumors from stage T2 or higher tumors and to analyze the influence of different imaging protocols in patients with bladder cancer. Materials and Methods A systematic literature search for original diagnostic studies was performed in PubMed, Medline, the Cochrane Library, and Web of Science. The methodologic quality of each study was evaluated by two independent reviewers who used the Quality Assessment of Diagnostic Accuracy Studies 2 tool. Data necessary to complete 2 × 2 tables were obtained, and patient, study, and imaging characteristics were extracted. Statistical analysis included data pooling, heterogeneity testing, sensitivity analyses, and forest plot construction. Results Seventeen studies (1449 patients with bladder cancer) could be analyzed. The pooled sensitivity and specificity of MR imaging were 0.90 (95% confidence interval [CI]: 0.83, 0.94) and 0.88 (95% CI: 0.77, 0.94), respectively, for differentiating tumors staged T1 or lower from those staged T2 or higher. Diffusion-weighted imaging and use of higher field strengths (3 T) improved sensitivity (0.92; 95% CI: 0.86, 0.96) and specificity (0.96; 95% CI: 0.93, 0.98). Conclusion This meta-analysis demonstrated high diagnostic performance of MR imaging for differentiating T1 or lower tumors from T2 or higher tumors in patients with bladder cancer. Higher field strength (3 T) and the use of diffusion-weighted imaging can slightly help improve sensitivity and specificity.

Endocervical curettage (ECC) is an optional practice during colposcopy, and the indication for endocervical curettage (ECC) is controversial between Europe and the USA. Here, we explored the value of ECC in a specific situation. An elderly post-loop electrosurgical excision procedure woman, who had undergone a colposcopy 4 months before, went for her follow-up and abnormal cytology was found, and both the ECC and punch biopsy showed negative results. Then, a second ECC was performed, which led to the diagnosis of a high-grade squamous intraepithelial lesion. This case report shows that ECC is useful for diagnosing elderly women with Type 3 squamocolumnar junction.

Purpose To evaluate the utility of the whole-lesion histogram apparent diffusion coefficient (ADC) for characterizing the heterogeneity of mucinous breast carcinoma (MBC) and to determine which ADC metrics may help to best differentiate subtypes of MBC. Materials and Methods This retrospective study involved 52 MBC patients, including 37 pure MBC (PMBC) and 15 mixed MBC (MMBC). The PMBC patients were subtyped into PMBC-A (20 cases) and PMBC-B (17 cases) groups. All patients underwent preoperative diffusion-weighted imaging (DWI) at 1.5T and the whole-lesion ADC assessments were generated. Histogram-derived ADC parameters were compared between PMBC vs. MMBC and PMBC-A vs. PMBC-B, and receiver operating characteristic (ROC) curve analysis was used to determine optimal histogram parameters for differentiating these groups. Results The PMBC group exhibited significantly higher ADC values for the mean (P = 0.004), 25th (P = 0.004), 50th (P = 0.004), 75th (P = 0.006), and 90th percentiles (P = 0.013) and skewness (P = 0.021) than did the MMBC group. The 25th percentile of ADC values achieved the highest area under the curve (AUC) (0.792), with a cutoff value of 1.345 × 10−3mm2/s, in distinguishing PMBC and MMBC. The PMBC-A group showed significantly higher ADC values for the mean (P = 0.049), 25th (P = 0.015), and 50th (P = 0.026) percentiles and skewness (P = 0.004) than did the PMBC-B group. The 25th percentile of the ADC cutoff value (1.476 × 10−3mm2/s) demonstrated the best AUC (0.837) among the ADC values for distinguishing PMBC-A and PMBC-B. Conclusion Whole-lesion ADC histogram analysis enables comprehensive evaluation of an MBC in its entirety and differentiating subtypes of MBC. Thus, it may be a helpful and supportive tool for conventional MRI. Level of Evidence: 4 Technical Efficacy Stage 2 J. Magn. Reson. Imaging 2017.

To investigate whether whole-tumor apparent diffusion coefficient (ADC) histogram analysis could be helpful to evaluate breast phyllode tumor (PT) grades.This institutional review board-approved retrospective study included 56 PTs (23 benign lesions, 22 borderline lesions, and 11 malignant lesions) from August 2011 to November 2017. MRI was performed using a 1.5 T MR system equipped with a 4-channel SENSE breast coil. All cases were divided into two groups, benign PT (BPT) and borderline or malignant PT (BMPT). The conventional MR parameters included age, longest diameter, shape, margin, internal enhancement characteristics, cystic component of the tumor, wall of the cystic component, peritumoral edema on T2-weighted imaging (T2WI), T1-weighted imaging (T1WI) and T2WI signal intensity, time-signal intensity curve (TIC) patterns and early-stage enhancement ratio (EER). The ADC values were determined in three different types of regions of interest (ROIs), including a circular ROI (ROI-c), single-slice ROI (ROI-s), and whole-tumor ROI (ROI-w). All ADC values were measured twice by Observer A and B (with a 2-week interval). The Ki-67 index was determined, and cases were classified into a "negative group" (Ki-6714%) and a "positive group" (Ki-67≥14%). SPSS Statistics V21.0 was used for the statistical analyses.Our study included 23 cases of BPT and 33 cases of BMPT (including 22 borderline PTs and 11 malignant PTs). Only 23 patients in BMPT group had Ki-67 results, and 17 of these were positive. Regarding conventional MR features, significant differences were observed in the margin (P = 0.011), cystic component (P0.001), peritumoral edema on T2WI (P0.001), and cystic wall (P = 0.011) of the PT between the BPT and BMPT groups. Regarding the ADC value, good intraobserver agreement for ROI-c, ROI-s and ROI-w measurements was obtained. For the three different ROIs, the intraclass correlation coefficient (ICC) values were 0.905 for ROI-c (P 0.05), 0.965 (P 0.05) for ROI-s and 0.994 (P 0.05) for ROI-w. ADC parameter indicated that the figure of ROI-s tended to be higher than the ROI-c and ROI-w, while the ROI-c and ROI-w values were similar. However, no significant difference was found in ADC values between the BPT and BMPT groups for ROI-c, ROI-s and mean ROI-w values and the 10th, 25th, 50th and 75th ROI-w. The areas under the ROC curves for the mean ROI-w and the 10th, 25th, 50th and 75th ROI-w were 0.568, 0.613, 0.567, 0.544, and 0.540, respectively.Based on the results obtained in our study, the whole-tumor ADC histogram could not improve differentiation of the breast PT grade, while conventional MR images could provide more meaningful information, so morphological characteristics may be valuable than ADC value, and ADC could be used as a supplemental method to differentiate PT grades.

The widespread use of social media provides a large amount of data for public sentimentanalysis. Based on social media data, researchers can study public opinions on humanpapillomavirus (HPV) vaccines on social media using machine learning-based approaches that willhelp us understand the reasons behind the low vaccine coverage. However, social media data isusually unannotated, and data annotation is costly. The lack of an abundant annotated dataset limitsthe application of deep learning methods in effectively training models. To tackle this problem, wepropose three transfer learning approaches to analyze the public sentiment on HPV vaccines onTwitter. One was transferring static embeddings and embeddings from language models (ELMo)and then processing by bidirectional gated recurrent unit with attention (BiGRU-Att), called DWEBiGRU-Att. The others were fine-tuning pre-trained models with limited annotated data, called finetuninggenerative pre-training (GPT) and fine-tuning bidirectional encoder representations fromtransformers (BERT). The fine-tuned GPT model was built on the pre-trained generative pretraining(GPT) model. The fine-tuned BERT model was constructed with BERT model. Theexperimental results on the HPV dataset demonstrated the efficacy of the three methods in thesentiment analysis of the HPV vaccination task. The experimental results on the HPV datasetdemonstrated the efficacy of the methods in the sentiment analysis of the HPV vaccination task. Thefine-tuned BERT model outperforms all other methods. It can help to find strategies to improvevaccine uptake.

An increasing number of people suffering from mental health conditions resort to online resources (specialized websites, social media, etc.) to share their feelings. Early depression detection using social media data through deep learning models can help to change life trajectories and save lives. But the accuracy of these models was not satisfying due to the real-world imbalanced data distributions. To tackle this problem, we propose a deep learning model (X-A-BiLSTM) for depression detection in imbalanced social media data. The X-A-BiLSTM model consists of two essential components: the first one is XGBoost, which is used to reduce data imbalance; and the second one is an Attention-BiLSTM neural network, which enhances classification capacity. The Reddit Self-reported Depression Diagnosis (RSDD) dataset was chosen, which included approximately 9,000 users who claimed to have been diagnosed with depression (”diagnosed users and approximately 107,000 matched control users. Results demonstrate that our approach significantly outperforms the previous state-of-the-art models on the RSDD dataset.

There is currently no large sample data of cytology, high-risk human papillomavirus (hrHPV), and colposcopy results of vaginal intraepithelial neoplasia (VaIN) in women who underwent hysterectomy and those who did not. We aim to explore the values of cytology, hrHPV, and colposcopy reports in detecting VaIN. A retrospective study of women diagnosed with VaIN by colposcopy-directed biopsy was performed at the Obstetrics and Gynecology Hospital of Fudan University, China, between January 1, 2014, and December 31, 2014. A total of 529 cases of VaIN were diagnosed, including 16.1% VaIN2/3 and 83.9% VaIN1. The ratio of VaIN2/3 in VaIN among patients after hysterectomy and with an intact uterus was 35.1% and 12.0%, respectively. The sensitivity of cytology for VaIN2/3 in only, concomitant, and posthysterectomy VaIN was 42.1%, 80.0%, and 80.8%, respectively. The sensitivity of hrHPV and cytology/hrHPV cotesting for VaIN2/3 in patients with an intact uterus versus those after hysterectomy was 93.5% versus 92.3% and 92.0% versus 100.0%, respectively. Notably, 13.3% of the patients with VaIN and 9.7% of the patients with VaIN2/3 underwent hysterectomy for noncervical diseases. The sensitivity of cytology and hrHPV for VaIN is noninferior to that of CIN2+, and thus these methods can help in the early detection of VaIN effectively.

Patients with ovarian cancer frequently develop acquired drug resistance after the long-term chemotherapy, leading to disease progression. Enhanced epithelial-mesenchymal transition (EMT) has been implicated in chemoresistance of ovarian cancer cells; however, the molecular mechanisms involved are largely undefined. Pyruvate dehydrogenase kinase 1 (PDK1), a key regulatory enzyme in glucose metabolism, has been recognized as a gatekeeper of the Warburg effect, a hallmark of cancer. In this study, the function of PDK1 in cisplatin resistance of ovarian cancer in terms of growth and EMT was investigated. PDK1 was upregulated in cisplatin-resistant ovarian cancer cells. PDK1 knockdown in resistant cells led to increased sensitivity to cisplatin-induced cell death and apoptosis. PDK1 downregulation also reversed the EMT and cell motility in cisplatin-resistant cells. In a mouse xenograft model, tumors derived from PDK1-silenced ovarian cancer cells exhibited decreased tumor growth and EMT compared with control after the cisplatin treatment. Mechanistically, PDK1 overexpression led to increased phosphorylation of EGFR, and blocking EGFR kinase activity by erlotinib reversed cisplatin resistance induced by PDK1 overexpression. Furthermore, in patients with ovarian cancer, higher PDK1 and p-EGFR levels were associated with chemoresistance. These results supported that PDK1 contributes to chemoresistance of ovarian cancer by activating EGFR. Therefore, PDK1 may serve as a promising target to combat chemoresistance of ovarian cancer.

Punch biopsy is important in the diagnosis of cervical cancer. However, it may fail to detect early cervical cancers. A retrospective study was performed in the largest academic women’s hospital in China to demonstrate cervical cancer that colposcopy-directed biopsy failed to detect. Methods. Patients who were diagnosed with high-grade squamous intraepithelial lesion (HSIL), adenocarcinoma in situ (AIS), and persistent low-grade squamous intraepithelial lesion (LSIL) via colposcopy-directed biopsy and had further undergone loop electrosurgical excision procedure (LEEP) conization were included. These procedures were performed at Obstetrics and Gynecology Hospital of Fudan University from July 1, 2013, to December 31, 2016. In total, 5.98% (760/12714) of patients who underwent conization were diagnosed with invasive cervical cancer. Persistent LSIL (0.24%), HSIL (6.37%), and AIS (24.31%) were detected cancer by conization. Histological subtypes included squamous cell carcinoma (92.0%), adenocarcinoma (5.1%), adenosquamous carcinoma (1.8%), adenoid basal type carcinoma (0.9%), and small cell neuroendocrine carcinoma (0.1%). Cytology reports consisted of HSIL (45.4%), atypical squamous cells of undetermined significance (ASC-US) (16.1%), and LSIL (11.6%), and atypical squamous cells cannot exclude HSIL (ASC-H) (9.3%), squamous cell carcinoma (0.9%), AGC (atypical glandular cells, 0.9%), AIS (0.4%), and NILM (negative for intraepithelial lesion or malignancy, 15.4%). The sensitivity of high-risk human papillomavirus (hrHPV) screening (96.4%) was significantly higher than that of cytology (84.6%) (P<0.01), with sensitivity of cotesting at 99.8% and a ratio of double-negative results at 0.2%. The sensitivity of cytology and hrHPV screening of different cervical cancer histologic subtypes was also demonstrated. In this large retrospective study, we systematically reported the cytology, hrHPV, pathology, and stages of cervical cancer that colposcopy-directed biopsy failed to detect.

How to ensure the information published is accurate and cannot be modified in the heterogeneous Network Environment,this is a difficult program to provide ticketing services through Middleware. This paper expounds the connection middleware design that between collaborative services platform and heterogeneous ticketing system, studies the interface specification and protocol specification of connection middleware and different subjects of heterogeneous ticketing system, realizes the function of ticket of collaborative services platform as well as maximizes the system's security and compatibility.

To observe the therapeutic efficacy of Danggui Buxue Decoction No.1 (当归补血汤1号, DB1) in treating patients of non-small cell lung cancer (NSCLC) at the peri-operational stage and its impact on the patients’ immune function. Eighty-two NSCLC patients were randomly assigned to two groups equally, the control group and the test group, they were given conventional treatment, while to the test group, DB1 were given additionally. The observation was conducted by testing the changes of T-lymphocyte subsets, natural killer (NK) cell activity, serum levels of immunoglobulin (IgA, IgM, IgG), interleukin-2 (IL-2), tumor necrosis factor α (TNF-α), cytokeratin fragment 19 (CYFRA21-1) and carcinoembryonic antigen (CEA) in NSCLC patients before and after administration of DB1, and analyzing the patients’ general condition. The level of CD3+, CD4+, the ratio of CD4 and CD8+, IgA, IgM, IgG and IL-2 decreased in patients with NSCLC on day 1 after operation, and the level of CD8 and TNF-α increased compared to pre-operation. While the levels of CD3+, CD4+, CD4 /CD8+, NK cell activity, serum IgA, IgM, IgG, IL-2 began to elevate, CD8 and TNF-α levels began to decline in patients administered with DB1 on day 3 after the operation, earlier than patients who did not use the decoction. The level of CYFRA21-1 and CEA, was immediately decreased after operation in both groups. Applying DB1 to NSCLC patients at an early post-operational stage could alleviate the impairment and accelerate the recovery of immune function of patients to enhance their immunity. DB1 also shows an anti-tumor action to a certain degree.

According to definition of noise factor of microchannel plate and the test principle, the authors set up a test installation, and measured the numerical values of MCPs which were made of different materials and channel pore including no / with ion barrier film in input of MCP. In order to seek the technical approach to reduce noise factor of MCP at the same time, we tested and analyzed the relation between noise factor and MCP voltage, combined relation between signal-to-noise ratio of GEN Ⅲ image intensifier and MCP voltage, open out relation between signal-to-noise ratio of GEN Ⅲ image intensifier and noise factor of MCP with ion barrier film.

Background Ovarian cancer is predominant of epithelial cell origin and often present at an advanced stage with poor prognosis. Most animal models of ovarian carcinoma yield thecal/granulose cell tumors, rather than adenocarcinomas. The best reported induction rate of adenocarcinoma in rats is 10-45% by an ovarian implantation of 7, 12-dimethylbenz[a]anthracene (DMBA) coated silk suture. We provided an improved procedure to construct the model by the ovarian implantation of DMBA-coated cloth strip. Methods A sterile suture (as S group) or a piece of cloth strip (as CS group) was soaked in DMBA before ovarian implantation in Wistar rats. Tumor size, incidence rate and pathological type were analyzed. Results Ovarian tumors in rats of CS group were first noted at 16 wk post implantation and reached a cumulative incidence of 75% (96/128) at 32 wk, while the tumor incidence rate in S group at 32 wk was only 46.25% (37/80). The tumor size in CS group (3.63 ± 0.89 cm) was larger than that of S group (2.44 ± 1.89 cm) (P Conclusion The model in our study yields much higher incidence and specificity of epithelial derived tumors and showed histological similarities to human ovarian cancers, which would be more suitable for therapeutic research.

PURPOSE We performed an observational study over 5 years on patients with postoperative ascites who had undergone laparoscopic surgery in our hospital. METHODS Patients with postoperative ascites of unknown origin were monitored in the hospital from July 2006 to June 2010. Clinical manifestations, biochemical analysis, and treatment are discussed in the study. RESULTS Of 21,380 laparoscopic surgeries, 8 cases of postoperative ascites of unknown origin were identified in otherwise healthy women. None of the patients revealed any definitive causes even after an extensive diagnostic work-up and recovered uneventfully with general supportive treatments. CONCLUSIONS Postoperative ascites of unknown origin are a rare complication of laparoscopic gynecologic surgery. We surmised that the most likely cause of the ascites is a diffuse peritoneal injury by some substances used during the operation, and supportive therapy is very important.

Women carrying BRCA1 mutations have a higher risk of developing ovarian cancers. Options to reduce this risk are largely limited to prophylactic surgery, which leads to a decrease in the quality of life and permanently damages fertility. There is a obvious and an urgent need to identify a noninvasive approach to effectively prevent the ovarian cancer risk, specifically for those women of reproductive age. Our previous studies showed that the use of the herbal remedy Ginkgo biloba may reduce the risk for nonmucinous ovarian cancer. Here, we explored whether Ginkgo biloba might also be an effective agent to reduce BRCA1-associated ovarian cancer (always serous-type) risk. A human ovarian surface epithelial cell line-636 was developed from a BRCA1-mutant carrier. Cells were treated with ginkgolide B (GB) or dimethyl sulfoxide, and protein lysates from the cells were applied to antibody microarrays to determine upregulated or downregulated protein expression patterns. Anticancer activities and the associated networking pathways with the altered proteins were analyzed by using the Pathway Studio software. After GB treatment, 28 proteins were shown to be consistently upregulated (1.5-15.5-fold), and 22 proteins were downregulated (1.5-28.3-fold). Bioinformatics software analysis indicated that multiple mechanisms and signal pathways are involved in anticancer activities in BRCA1-mutant cells induced by GB treatment. These pathways include cell proliferation, tumor suppression, and DNA damage repair. Our study suggested that GB found in the herbal Ginkgo biloba may have cancer-preventive activities in BRCA1-mutant ovarian epithelial cells.

Locality Preserving Projection is a method which can extract the feature and reduce dimensionality effectively, which has been widely used in face recognition. However, it is also an unsupervised method, and it is an image vector-based method, needing to covert the face image into a vector. This conversion not only breaks the local structural information, but also brings lots of problems, such as the dimension of these converted vectors is too high and encounters the small sample size problem. And it is also an unsupervised method and has no directly relation to classification. In order to improve the performance of LPP, we present a method named Two-Dimensional Discriminant Locality Preserving Projection for extracting the feature and reduce dimensionality and apply it in face recognition. Experimental results on ORL and Yale databases suggest that the proposed 2DDLPP provides a better way to solve these problems and achieves lower error rates.

Broadcast authentication is complicated with un-trusted receivers and unreliable communication environments for Ubiquitous computing. Generally, it is broadcast authentication protocol that enables the receivers to verify that a received packet was really sent by the claimed sender. This paper presents a broadcast authentication protocol for ubiquitous computing (BAPUC) which extended from TESLA without the need for synchronized clocks. Synchronization failure of TESLA renders it vulnerable to an attack exploits a postdated message by first suppressing it and replaying it later. We figure it out using timestamp as nonce to avoid loose time synchronization between the sender and the receivers. Furthermore, the protocol achieves asymmetric properties using purely symmetric cryptographic functions (MAC functions) and achieves lower communication, computation overhead and packet loss toleration.