British menopause society tools for clinicians: Progestogens and endometrial protection

2021 ◽  
pp. 205336912110580
Author(s):  
Haitham Hamoda ◽  
Keyword(s):  
Endometrial Cancer ◽  
Luteal Phase ◽  
Endometrial Hyperplasia ◽  
Daily Intake ◽  
Breakthrough Bleeding ◽  
Increased Risk ◽  
Monthly Cycle

Progestogen administration is required to oppose naturally produced or administered estrogens to provide endometrial protection. Within HRT regimens, this should be delivered for at least the same duration as that produced during the luteal phase of the monthly cycle and in the recommended doses to protect against the risk of endometrial hyperplasia and endometrial cancer. This includes progestogens administered for 12–14 days a month in sequential regimens and continuous daily intake in continuous combined HRT regimens. Shorter durations and lower doses of progestogen intake are likely to be associated with an increased risk of breakthrough bleeding, endometrial hyperplasia, and endometrial cancer.

scholarly journals Adjuvant brachytherapy for FIGO stage I serous or clear cell endometrial cancer

2021 ◽  
pp. ijgc-2020-002217
Author(s):  
Elizabeth B Jeans ◽  
William G Breen ◽  
Trey C Mullikin ◽  
Brittany A Looker ◽  
Andrea Mariani ◽  
...  
Keyword(s):  
Endometrial Cancer ◽  
Clear Cell ◽  
Early Stage ◽  
Figo Stage ◽  
Stage I ◽  
High Dose ◽  
Vaginal Cuff ◽  
Locoregional Failure ◽  
Platinum Based Chemotherapy ◽  
Increased Risk

ObjectivesOptimal adjuvant treatment for early-stage clear cell and serous endometrial cancer remains unclear. We report outcomes for women with surgically staged International Federation of Gynecology and Obstetrics (FIGO) stage I clear cell, serous, and mixed endometrial cancers following adjuvant vaginal cuff brachytherapy with or without chemotherapy.MethodsFrom April 1998 to January 2020, women with FIGO stage IA–IB clear cell, serous, and mixed endometrial cancer underwent surgery and adjuvant vaginal cuff brachytherapy. Seventy-six patients received chemotherapy. High-dose rate vaginal cuff brachytherapy was planned to a total dose of 21 gray in three fractions using a multichannel vaginal cylinder. The primary objective was to determine the effectiveness of adjuvant vaginal cuff brachytherapy and to identify surgicopathological risk factors that could portend towards worse oncological outcomes.ResultsA total of 182 patients were included in the analysis. Median follow-up was 5.3 years (2.3–12.2). Ten-year survival was 73.3%. Five-year cumulative incidence (CI) of vaginal, pelvic, and para-aortic relapse was 1.4%, 2.1%, and 0.9%, respectively. Five-year locoregional failure, any recurrence, peritoneal relapse, and other distant recurrence was 4.4%, 11.6%, 5.3%, and 6.7%, respectively. On univariate analysis, locoregional failure was worse for larger tumors (per 1 cm) (HR 1.9, 95% CI 1.2 to 3.0, p≤0.01). Any recurrence was worse for tumors of at least 3.5 cm (HR 3.8, 95% CI 1.3 to 11.7, p=0.02) and patients with positive/suspicious cytology (HR 4.4, 95% CI 1.5 to 12.4, p≤0.01). Ten-year survival for tumors of at least 3.5 cm was 56.9% versus 86.6% for those with smaller tumors (HR 2.9, 95% CI 1.4 to 5.8, p≤0.01). Ten-year survival for positive/suspicious cytology was 50.9% versus 77.4% (HR 2.2, 95% CI 0.9 to 5.4, p=0.09). Multivariate modeling demonstrated worse locoregional failure, any recurrence, and survival with larger tumors, as well as any recurrence with positive/suspicious cytology. Subgroup analysis demonstrated improved outcomes with the use of adjuvant chemotherapy in patients with large tumors or positive/suspicious cytology.ConclusionAdjuvant vaginal cuff brachytherapy alone without chemotherapy is an appropriate treatment for women with negative peritoneal cytology and small, early-stage clear cell, serous, and mixed endometrial cancer. Larger tumors or positive/suspicious cytology are at increased risk for relapse and worse survival, and should be considered for additional upfront adjuvant treatments, such as platinum-based chemotherapy.

scholarly journals A nomogram prediction model for lymph node metastasis in endometrial cancer patients

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Zhiling Wang ◽  
Shuo Zhang ◽  
Yifei Ma ◽  
Wenhui Li ◽  
Jiguang Tian ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Endometrial Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
External Validation ◽  
Clinicopathological Parameters ◽  
Bootstrap Sample ◽  
Multivariate Logistic Regression ◽  
Node Metastasis ◽  
Increased Risk

Abstract Background This study aimed to explore the risk factors for lymph node metastasis (LNM) in patients with endometrial cancer (EC) and develop a clinically useful nomogram based on clinicopathological parameters to predict it. Methods Clinical information of patients who underwent staging surgery for EC was abstracted from Qilu Hospital of Shandong University from January 1st, 2005 to June 31st, 2019. Parameters including patient-related, tumor-related, and preoperative hematologic examination-related were analyzed by univariate and multivariate logistic regression to determine the correlation with LNM. A nomogram based on the multivariate results was constructed and underwent internal and external validation to predict the probability of LNM. Results The overall data from the 1517 patients who met the inclusion criteria were analyzed. 105(6.29%) patients had LNM. According the univariate analysis and multivariate logistic regression analysis, LVSI is the most predictive factor for LNM, patients with positive LVSI had 13.156-fold increased risk for LNM (95%CI:6.834–25.324; P < 0.001). The nomogram was constructed and incorporated valuable parameters including histological type, histological grade, depth of myometrial invasion, LVSI, cervical involvement, parametrial involvement, and HGB levels from training set. The nomogram was cross-validated internally by the 1000 bootstrap sample and showed good discrimination accuracy. The c-index for internal and external validation of the nomogram are 0.916(95%CI:0.849–0.982) and 0.873(95%CI:0.776–0.970), respectively. Conclusions We developed and validated a 7-variable nomogram with a high concordance probability to predict the risk of LNM in patients with EC.

scholarly journals OP0133 THE PREVALENCE AND RISK FACTORS OF RETINAL TOXICITY ASSOCIATED WITH LONG-TERM HYDROXYCHLOROQUINE USE

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 77-78
Author(s):  
S. Do ◽  
J. H. Du ◽  
J. X. An ◽  
J. Wang ◽  
A. Lin
Keyword(s):  
Risk Factors ◽  
Cumulative Dose ◽  
Daily Intake ◽  
Retinal Toxicity ◽  
Factors Associated ◽  
Duration Of Therapy ◽  
Increased Risk ◽  
Hydroxychloroquine Retinopathy ◽  
Risk Of Retinopathy

Background:Hydroxychloroquine (HCQ) is commonly used for the treatment of various autoimmune diseases. The medication is generally well-tolerated. However, long-term use after 5 years may increase the risk of retinopathy. One study in 2014 has demonstrated the risk can be as high as 7.5%. Optical Coherence Tomography (OCT) has become a major modality in screening retinopathy.Objectives:To evaluate the prevalence of retinal toxicity among patients using hydroxychloroquine and to determine various risk factors associated with hydroxychloroquine-associated retinal toxicity.Methods:We performed a retrospective chart review on a cohort of adult patients with long-term use (≥ 5 years cumulative) of HCQ between January 1st, 2011 to December 31st, 2018 from the Kaiser Permanente San Bernardino County and Riverside medical center areas in Southern California, USA. Patients were excluded if they had previously been diagnosed with retinopathy prior to hydroxychloroquine use, were deceased, or had incomplete OCT exam. Our primary endpoint was the prevalence of patients who developed retinal toxicity detected by OCT, and later confirmed by retinal specialist. Potential risk factors (age, duration of therapy, daily consumption per actual body weight, cumulative dose, confounding diseases and medication) for developing retinopathy were also evaluated. Univariable and multivariable logistic regression analyses were used to determine risk factors associated with retinal toxicity.Results:Among 676 patients exposed to more than 5 years of HCQ, the overall prevalence of retinal toxicity was 6.8%, and ranged from 2.5% to 22.2% depending on the age, weight-based dosing, duration of use and cumulative dose. Duration of therapy for 10 years or more increased risk of retinopathy by approximately 5 to 19 folds. Similarly, weight-based dose of 7 mg/kg/day or greater was assciated with increased risk of retinopathy by approximately 5 times. Patients with cumulative dose of 2000 grams or more had greater than 15 times higher risk of developing retinopathy. Duration of use for10 years or more (odd ratio 4.32, 95% CI 1.99 – 12.49), age (odd ratio 1.04; 95% CI 1.01 - 1.08), cumulative dose of more than 1500 g (odd ratio 7.4; 95% CI 1.40 – 39.04) and atherosclerosis of the aorta (odd ratio 2.59; 95% CI, 1.24 – 5.41) correlated with higher risk of retinal toxicity.Conclusion:The overall prevalence of retinopathy was 6.8%. Regular OCT screening, especially in patients with hydroxychloroquine use for more than 10 years, daily intake > 7 mg/kg, or cumulative dose > 1500 grams is important in detecting hydroxychloroquine-associated retinal toxicityReferences:[1]Hobbs HE. Sorsby A, & Freedman A. Retinopathy Following Chloroquine Therapy. The Lancet. 1959; 2(7101): 478-480.[2]Levy, G. D., Munz, S. J., Paschal, J., Cohen, H. B., Pince, K. J., & Peterson, T. Incidence of hydroxychloroquine retinopathy in 1,207 patients in a large multicenter outpatient practice. Arthritis & Rheumatism: 1997; 40(8): 1482-1486.[3]Ding, H. J., Denniston, A. K., Rao, V. K., & Gordon, C. Hydroxychloroquine-related retinal toxicity. Rheumatology. 2016; 55(6): 957-967.[4]Stelton, C. R., Connors, D. B., Walia, S. S., & Walia, H. S. Hydrochloroquine retinopathy: characteristic presentation with review of screening. Clinical rheumatology. 2013; 32(6): 895-898.[5]Marmor, M. F., Kellner, U., Lai, T. Y., Melles, R. B., & Mieler, W. F. Recommendations on screening for chloroquine and hydroxychloroquine retinopathy (2016 revision). Ophthalmology. 2016; 123(6): 1386-1394.[6]Melles, R. B., & Marmor, M. F. The risk of toxic retinopathy in patients on long-term hydroxychloroquine therapy. JAMA ophthalmology. 2014; 132(12): 1453-1460.Disclosure of Interests:None declared

scholarly journals Upregulation of Serum lncRNA DLEU1 Predicts Progression of Premalignant Endometrial Lesion and Unfavorable Clinical Outcome of Endometrial Cancer

2020 ◽  
Vol 19 ◽  
pp. 153303382096558
Author(s):  
Lixia Shan ◽  
Tao Zhao ◽  
Yu Wang
Keyword(s):  
Endometrial Cancer ◽  
Endometrial Hyperplasia ◽  
Cox Regression ◽  
Quantitative Polymerase Chain Reaction ◽  
Critical Role ◽  
Disease Free Survival ◽  
Lymphocytic Leukemia ◽  
Healthy Controls ◽  
Clinical Value ◽  
Cox Regression Analysis

Objective: Long non-coding RNAs (lncRNAs) play a critical role in tumorigenesis. Upregulation of lncRNA deleted in lymphocytic leukemia 1 (DLEU1) has been reported in endometrial cancer (EC) tissues. This prospective study aimed to determine the potential clinical significance of serum lncRNA DLEU1 in EC. Methods: The serum lncRNA DLEU1 level was detected in EC patients, patients with endometrial hyperplasia and healthy controls by reverse transcription-quantitative polymerase chain reaction (RT-qPCR). Then its clinical value in EC was further evaluated. Results: Our results demonstrated that serum lncRNA DLEU1 levels were significantly increased in patients with EC, and serum lncRNA DLEU1 showed good performance for discriminating EC patients from patients with endometrial hyperplasia and healthy controls. In addition, EC patients with advanced clinicopathological features had higher circulating lncRNA DLEU1 level than those with favorable clinical characteristics. Moreover, EC patients in the high serum lncRNA DLEU1 group suffered worse overall survival and disease-free survival than those in the low serum lncRNA DLEU1 group. Furthermore, multivariate cox regression analysis displayed that the serum lncRNA DLEU1 served as an independent prognostic factor for EC. Conclusions: Collectively, our study suggests that serum lncRNA DLEU1 is a novel and promising biomarker for prognostic estimation of EC.

scholarly journals Risk Assessment of Endometrial Hyperplasia or Endometrial Cancer with Simplified Ultrasound-Based Scoring Systems

Diagnostics ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 442
Author(s):  
Norbert Stachowicz ◽  
Agata Smoleń ◽  
Michał Ciebiera ◽  
Tomasz Łoziński ◽  
Paweł Poziemski ◽  
...  
Keyword(s):  
Endometrial Cancer ◽  
Endometrial Hyperplasia ◽  
Endometrial Thickness ◽  
Transvaginal Ultrasound ◽  
Menopausal Status ◽  
Power Doppler ◽  
Uterine Cavity ◽  
Abnormal Uterine Bleeding ◽  
Scoring Systems ◽  
Diagnostic Challenge

Background: Abnormal uterine bleeding (AUB) represents a common diagnostic challenge, as it might be related to both benign and malignant conditions. Endometrial cancer may not be detected with blind uterine cavity sampling by dilatation and curettage or suction devices. Several scoring systems using different ultrasound image characteristics were recently proposed to estimate the risk of endometrial cancer (EC) in women with AUB. Aim: The aim of the present study was to externally validate the predictive value of the recently proposed scoring systems including the Risk of Endometrial Cancer scoring model (REC) for EC risk stratification. Material and methods: It was a retrospective cohort study of women with postmenopausal bleeding. From June 2012 to June 2020 we studied a group of 394 women who underwent standard transvaginal ultrasound examination followed by power Doppler intrauterine vascularity assessment. Selected ultrasound features of endometrial lesions were assessed in each patient. Results: The median age was 60.3 years (range ±10.7). The median body mass index (BMI) was 30.4 (range ± 6.0). Histological examination revealed 158 cases of endometrial hyperplasia (EH) and 236 cases of EC. Of the studied ultrasound endometrial features, the highest areas under the curve (AUCs) were found for endometrial thickness (ET) (AUC = 0.76; 95% CI: 0.71–0.81) and for interrupted endomyometrial junction (AUC = 0.70, 95% CI: 0.65–0.75). Selected scoring systems presented moderate to good predictive performance in differentiating EC and EH. The highest AUC was found for REC model (AUC = 0.75, 95% CI: 0.70–0.79) and for the basic model that included ET, Doppler score and interrupted endometrial junction (AUC = 0.77, 95% CI: 0.73–0.82). REC model was more accurate than other scoring systems and selected single features for differentiating benign hyperplasia from EC at early stages, regardless of menopausal status. Conclusions: New scoring systems, including the REC model may be used in women with AUB for more efficient differentiation between benign and malignant conditions.

scholarly journals Deep learning model for classifying endometrial lesions

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
YunZheng Zhang ◽  
ZiHao Wang ◽  
Jin Zhang ◽  
CuiCui Wang ◽  
YuShan Wang ◽  
...  
Keyword(s):  
Endometrial Cancer ◽  
Endometrial Hyperplasia ◽  
Histogram Equalization ◽  
Atypical Hyperplasia ◽  
Endometrial Polyps ◽  
Submucous Myoma ◽  
Objective Model ◽  
Medical University ◽  
Deep Learning Model ◽  
Better Than

Abstract Background Hysteroscopy is a commonly used technique for diagnosing endometrial lesions. It is essential to develop an objective model to aid clinicians in lesion diagnosis, as each type of lesion has a distinct treatment, and judgments of hysteroscopists are relatively subjective. This study constructs a convolutional neural network model that can automatically classify endometrial lesions using hysteroscopic images as input. Methods All histopathologically confirmed endometrial lesion images were obtained from the Shengjing Hospital of China Medical University, including endometrial hyperplasia without atypia, atypical hyperplasia, endometrial cancer, endometrial polyps, and submucous myomas. The study included 1851 images from 454 patients. After the images were preprocessed (histogram equalization, addition of noise, rotations, and flips), a training set of 6478 images was input into a tuned VGGNet-16 model; 250 images were used as the test set to evaluate the model’s performance. Thereafter, we compared the model’s results with the diagnosis of gynecologists. Results The overall accuracy of the VGGNet-16 model in classifying endometrial lesions is 80.8%. Its sensitivity to endometrial hyperplasia without atypia, atypical hyperplasia, endometrial cancer, endometrial polyp, and submucous myoma is 84.0%, 68.0%, 78.0%, 94.0%, and 80.0%, respectively; for these diagnoses, the model’s specificity is 92.5%, 95.5%, 96.5%, 95.0%, and 96.5%, respectively. When classifying lesions as benign or as premalignant/malignant, the VGGNet-16 model’s accuracy, sensitivity, and specificity are 90.8%, 83.0%, and 96.0%, respectively. The diagnostic performance of the VGGNet-16 model is slightly better than that of the three gynecologists in both classification tasks. With the aid of the model, the overall accuracy of the diagnosis of endometrial lesions by gynecologists can be improved. Conclusions The VGGNet-16 model performs well in classifying endometrial lesions from hysteroscopic images and can provide objective diagnostic evidence for hysteroscopists.

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