Prognostic factors and survival of endometrial cancer: An 11-year retrospective cohort study in southern Taiwan.

OBJECTIVE: Endometrial cancer (EC) is the most common gynecological malignancy in high-income countries. In Taiwan, the incidence of EC increased from 1.69 in 1980 to 11.36 per 100,000 women/year in 2010. Therefore, we aimed to study the prognostic factors and survival of patients with EC in southern Taiwan. MATERIALS AND METHODS: This study included patients with EC who underwent hysterectomy-based surgery at our hospital between 2010 and 2020. The primary outcome was 5-year progression-free survival (PFS) and overall survival (OS) of patients diagnosed with EC. The secondary outcome was the prognostic factors associated with 5-year PFS and OS in patients with EC. We used the chi-square test to assess categorical variables and the independent t-test to assess continuous variables. The Kaplan-Meier method was used to estimate survival outcomes. Cox regression analysis was conducted to examine the factors associated with PFS and OS. RESULTS: A total of 133 patients were enrolled in this study. The mean age of the patients was 56.5 ± 10.71 years. The mean body mass index was 26.4 ± 5.21 kg/m2. The 5-year PFS and OS were 90.3% and 94.53%, respectively. In terms of PFS, endometrioid histology was linked to more favorable outcomes (hazard ratio [HR] = 0.02, 95% confidence interval [CI]:0.001-0.59), while lymph-vascular space invasion (LVSI) was associated with adverse results (HR = 9.11, 95% CI: 1.07-77.44). Initial analyses revealed no significant correlations between OS and various factors, including age, BMI, parity, DM, hypertension, age at last birth, and tumor grade. However, univariate analysis found grade 3 tumor differentiation, LVSI, and lymph node invasion associated with poorer OS. Laparoscopy was associated with better OS. Nevertheless, subsequent multivariate analysis did not reveal any factor significantly associated with OS. Most patients with EC (76.69%) underwent laparoscopic surgery. CONCLUSION: In conclusion, endometrioid histology was linked to more favorable PFS, while LVSI was related to adverse PFS. Our study did not identify any factors associated with OS. Two-thirds of the patients underwent minimally invasive surgery.

The value of amide proton transfer imaging combined with serum CA125 levels in predicting lymph vascular invasion in cervical cancer before surgery.

BACKGROUND: Preoperative prediction of lymphovascular space invasion (LVSI) is crucial for improving the prognosis of patients with cervical cancer. PURPOSE: To evaluate the value of preoperative amide proton transfer (APT) imaging combined with serum CA125 levels for predicting LVSI in cervical cancer. MATERIAL AND METHODS: This retrospective study included 80 patients with cervical cancer who underwent preoperative magnetic resonance imaging, including APT imaging. Serum CA125 levels were measured using a fully automated immunoassay analyzer and chemiluminescence method. The presence of LVSI was determined based on the pathological results after surgery. RESULTS: Among the 40 patients who met the requirements, 29 had postoperative pathological confirmation of LVSI, while 11 did not. The areas under the receiver operating characteristic curves (AUC) of preoperative APT and CA125 levels predicting LVSI were 0.889 and 0.687, respectively. When the APT value was 2.9%, the corresponding Youden index was the highest (0.702), with a sensitivity of 79.3% and specificity of 90.9%. When the critical value of the preoperative serum CA15 level was 25.3 u/mL, the corresponding Youden index was the highest (0.508), with a sensitivity of 69.0% and a specificity of 81.8%. The sensitivity and specificity of preoperative APT imaging combined with serum CA125 in predicting LVSI were 82.7% and 100%, respectively, with a Youden's index of 0.828 and an AUC of 0.923. CONCLUSION: The combination of preoperative APT imaging and serum CA125 levels is valuable for predicting LVSI in cervical cancer. Diagnostic efficacy is highest when the APT value is >2.9% and the serum CA125 level is >25.3 u/mL.

An MRI radiomics-based model for the prediction of invasion of the lymphovascular space in patients with cervical cancer.

Background: Cervical cancer (CC) remains the second leading cause of cancer-related death in women, and the ability to accurately anticipate the presence or absence of lymphovascular space invasion (LVSI) is critical to maintaining optimal patient outcomes. The objective of this study was to establish and verify an MRI radiomics-based model to predict the status of LVSI in patients with operable CC. Methods: The current study performed a retrospective analysis, with 86 patients in the training cohort and 38 patients in the testing group, specifically focusing on patients with CC. The radiomics feature extraction process included ADC, T2WI-SPAIR, and T2WI sequences. The training group data were used for the initial radionics-based model building, and the model predictive performance was subsequently validated using data from patients recruited in the experimental group. Results: The development of the radiomics scoring model has been completed with 17 selected features. The study found several risk factors associated with LVSI. These risk factors included moderate tumor differentiation (P = 0.005), poor tumor differentiation (P = 0.001), and elevated combined sequence-based radiomics scores (P = 0.001). Radiomics scores based on predictive model, combined sequences, ADC, T2WI-SPAIR, and T2WI exhibited AUCs of 0.897, 0.839, 0.815, 0.698, and 0.739 in the training cohort, respectively, with corresponding testing cohort values of 0.833, 0.833, 0.683, 0.692, and 0.725. Excellent consistency was shown by the calibration curve analysis, which showed a higher degree of agreement between the actual and anticipated LVSI status. Moreover, the decision curve analysis outcomes demonstrated the medical application of this prediction model. Conclusion: This investigation indicated that the MRI radiomics model was successfully developed and validated to predict operable CC patient LVSI status, attaining high overall diagnostic accuracy. However, further external validation and more deeper analysis on a larger sample size are still needed.

Updated endometrial cancer FIGO staging: the role of MRI in determining newly included histopathological criteria.

PURPOSE: Endometrial cancer (EC) is among the prevalent malignancies in gynecology, showing an increasing occurrence and mortality rate. The updated 2023 FIGO staging integrates both histopathological and molecular analyses, which significantly impact the prognosis and treatment approaches. This research aims to examine the effectiveness of MRI in identifying essential histopathological tumor features, including histological subtype, grade, and lymphovascular space invasion. METHODS: A total of 106 patients diagnosed with EC from February 2018 to December 2023 underwent preoperative pelvic MRI. Surgical procedures followed ESMO guidelines, with histopathological assessments using FIGO 2009 criteria. Two radiologists independently evaluated MRI images, measuring maximum tumor size, minimum tumor ADC value (using a free-hand ROI technique), and ADC tumor/myometrium ratio. MRI findings were compared with histopathological data. RESULTS: Peritoneal implant presence and tumor size exhibited significant differences between endometrioid adenocarcinoma (EAC) and non-endometrioid endometrial carcinoma (NEEC), with p values of < 0.001 and 0.003, respectively. Significant differences in age, tumor size, ADC tumor, and ADC tumor/myometrium between low-grade and high-grade tumors were observed, with p values of < 0.001, 0.004, 0.006, and 0.011, respectively. Increased tumor size, reduced ADC tumor, ADC tumor/myometrium, and pelvic peritoneal implant presence were significantly associated with LVSI, with p values of < 0.001, 0.001, 0.002, and 0.001, respectively. The AUC values for tumor size, ADC tumor, and ADC tumor/myometrium were 0.842, 0.781 and 0.747, respectively, in distinguishing between low and high-grade endometrial tumors. Similarly, obtained AUC values for predicting LVSI were 0.836, 0.719, and 0.696, respectively. CONCLUSION: Our study emphasizes MRI's role in predicting tumor characteristics such as histological subtype, grade, and LVSI based on updated FIGO criteria. By highlighting the potential of MRI, this research contributes to our comprehension of improving diagnostic and clinical management for EC. Further multicenter studies are warranted to validate these findings and establish MRI's role in EC management.

The prognostic impact of substantial lymphovascular space invasion in women with node negative FIGO stage I uterine carcinoma.

OBJECTIVE: Substantial lymphovascular space invasion (LVSI) is an important predictor of lymph node (LN) involvement in women with endometrial carcinoma. We studied the prognostic significance of substantial LVSI in patients with 2009-FIGO stage-I uterine endometrioid adenocarcinoma (EC) who all had pathologic negative nodal evaluation (PNNE). METHODS: Pathologic specimens were retrieved and LVSI was quantified (focal or substantial) in women with stage-I EC who had a hysterectomy and PNNE. In addition to multivariate analysis (MVA), recurrence-free (RFS), disease-specific (DSS), and overall (OS) survival was compared between women with focal vs. substantial LVSI. RESULTS: 1052 patients were identified with a median follow-up of 9.7 years. 358 women (34%) received adjuvant radiotherapy. 907 patients (86.2%) had no LVSI, 87 (8.3%) had focal, and 58 (5.5%) had substantial LVSI. Five-year RFS was 93.3% (95% CI: 91.5-95.1), 76.8% (95% CI: 67.2-87.7) and 79.1% (95% CI: 67.6-95.3) for no, focal, and substantial LVSI(p < 0.0001). There was no statistically significant difference in 5-year RFS, DSS, OS, and in the patterns of initial recurrence between women with focal vs substantial LVSI. On MVA with propensity score matching, substantial LVSI was not independently associated with any survival endpoint compared to focal LVSI, albeit both were detrimental when compared to no LVSI. Age ≥ 60 years and higher grade were predictors of worse RFS, DSS, and OS. Additionally, comorbidity burden was an independent predictor for OS. CONCLUSIONS: Our results suggest that substantial LVSI does not predict worse survival endpoints or different recurrence patterns in women with stage-I EC with PNNE when compared to focal LVSI.

Both intra- and peri-tumoral radiomics signatures can be used to predict lymphatic vascular space invasion and lymphatic metastasis positive status from endometrial cancer MR imaging.

OBJECTIVES: To identify lymphatic vascular space invasion (LVSI) and lymphatic node metastasis (LNM) status of endometrial cancer (EC) patients, using radiomics based on MRI images. METHODS: Five hundred and ninety-eight EC patients between January 2015 and September 2020 from two institutions were retrospectively included. Tumoral regions on DWI, T1CE, and T2W images were manually outlined. Radiomics features were extracted from tumor region and peri-tumor region of different thicknesses. We established sub-models to select features from each smaller category. Using this method, we separately constructed radiomic signatures for intra-tumoral and peri-tumoral images using different sequences. We constructed intra-tumoral and peri-tumoral models by combining their features, and a multi-sequence model by combining logits. Models were trained with 397 patients and validated with 170 internal and 31 external patients. RESULTS: For LVSI positive/LNM positive status identification, the multi-parameter MRI radiomics model achieved the area under curve (AUC) values of 0.771 (95%CI: [0.692-0.849])/0.801 (95%CI: [0.704, 0.898]) and 0.864 (95%CI: [0.728-1.000])/0.976 (95%CI: [0.919, 1.000]) in internal and external test cohorts, respectively. CONCLUSIONS: Intra-tumoral and peri-tumoral radiomics signatures based on mpMRI can both be used to identify LVSI or LNM status in EC patients non-invasively. Further studies on LVSI and LNM should pay attention to both of them.

Practical guidance for assessing and reporting lymphovascular space invasion (LVSI) in endometrial carcinoma.

Lymphovascular space invasion (LVSI) is an important prognostic parameter in endometrial carcinoma (EC) and has gained increasing interest in recent years due to an expanding body of evidence of its independent prognostic value, especially when the presence of LVSI is quantified. A key strength of LVSI as a prognostic factor is that it can be detected on routine microscopic examination, without ancillary tests, and thus can be used in low-resource settings. A weakness, however, is the lack of uniformly applied criteria for assessment and quantification of LVSI, resulting in interobserver variation in diagnosis. This is confounded by artefacts and other morphological features that may mimic LVSI (commonly referred to as pseudo-LVSI). Despite these issues, multiple studies have shown that LVSI is strongly associated with lymph node (LN) metastasis and is an independent risk factor for LN recurrence and distant metastasis. Consequently, the presence of substantial/extensive LVSI has become an important consideration in formulating adjuvant treatment recommendations in patients with EC, and this has been incorporated in the recent International Federation of Gynecology and Obstetrics (FIGO) 2023 staging system. Herein, we review the current literature on LVSI in EC and discuss its role as a prognostic marker, the reproducibility of LVSI assessment and distinction between LVSI and its mimics. We provide illustrations of key diagnostic features and discuss the two-tiered (none/focal versus substantial) system of LVSI classification. This work is intended to provide guidance to practising pathologists and unify the approach towards LVSI assessment in EC.

Construction and validation of a clinical risk model based on machine learning for screening characteristic factors of lymphovascular space invasion in endometrial cancer.

This study aimed to identify factors that affect lymphovascular space invasion (LVSI) in endometrial cancer (EC) using machine learning technology, and to build a clinical risk assessment model based on these factors. Samples were collected from May 2017 to March 2022, including 312 EC patients who received treatment at Xuzhou Medical University Affiliated Hospital of Lianyungang. Of these, 219 cases were collected for the training group and 93 for the validation group. Clinical data and laboratory indicators were analyzed. Logistic regression and least absolute shrinkage and selection operator (LASSO) regression were used to analyze risk factors and construct risk models. The LVSI and non-LVSI groups showed statistical significance in clinical data and laboratory indicators (P < 0.05). Multivariable logistic regression analysis identified independent risk factors for LVSI in EC, which were myometrial infiltration depth, cervical stromal invasion, lymphocyte count (LYM), monocyte count (MONO), albumin (ALB), and fibrinogen (FIB) (P < 0.05). LASSO regression identified 19 key feature factors for model construction. In the training and validation groups, the risk scores for the logistic and LASSO models were significantly higher in the LVSI group compared with that in the non-LVSI group (P < 0.001). The model was built based on machine learning and can effectively predict LVSI in EC and enhance preoperative decision-making. The reliability of the model was demonstrated by the significant difference in risk scores between LVSI and non-LVSI patients in both the training and validation groups.

A retrospective study of the effects of uterine manipulators on prognosis in patients with cervical cancer.

OBJECTIVE: This retrospective study investigated the effects of uterine manipulator use during minimally invasive radical hysterectomy on prognosis in patients with cervical cancer. METHODS: We collected clinical data on 762 patients with stage IA2 to IIB cervical cancer who underwent radical hysterectomy and pelvic lymphadenectomy in Chinese PLA General Hospital from 2009 to 2019. Kaplan-Meier analysis and log-rank tests were used to compare the 5-year overall survival rates between patients treated with and without a uterine manipulator. RESULTS: Patient demographics did not differ between the two groups. In addition, the incidence of lymphovascular space invasion, tumor size, pathologic types, the International Federation of Gynecology and Obstetrics stage, the histologic grade, and the rate of lymphatic metastases did not differ between the groups. Meanwhile, perioperative clinical indicators were similar in the groups. Furthermore, no significant differences in 5-year survival rates and survival curves were recorded between the groups among both all patients (84.5% vs. 85.6%) and early-stage patients (89.1% vs. 89.2%). CONCLUSIONS: The use of uterine manipulators during minimally invasive radical hysterectomy for cervical cancer did not affect clinicopathological markers or increase the risk of death.

A novel predictive model of lymphovascular space invasion in early-stage endometrial cancer.

Objective: To predict lymphovascular space invasion (LVSI) positivity in early-stage (stage 1-2) endometrial cancer (EC) using a predictive model with prognostic factors of EC. Materials and Methods: We included 461 patients who underwent total hysterectomy and bilateral salpingo-oophorectomy with pelvic-paraaortic lymphadenectomy as the primary treatment for presumed early-stage EC at our clinic between 2010 and 2020. Moreover, all surgical specimens were examined histopathologically for the positivity or negativity of LVSI, and the patients were divided into two groups based on these pathologic outcomes. Age, menopausal status, histological type (type 1-2), histological grade (grades 1-2-3), depth of myometrial invasion, and peritoneal cytology results were recorded and analyzed as clinicopathological and demographic characteristics of the patients. The Loess algorithm determined the relationship between the observed and predicted outcomes. The distinction between the algorithms was evaluated by calculating the C-index. Results: LVSI positivity was significantly associated with advanced age, menopause, type 2 EC, advanced histological grade, malignant peritoneal cytology, cervical involvement, and a tumor exceeding 50% of the myometrial depth (p<0.001, respectively). Remarkably, LVSI was most strongly associated with three explanatory variables: 1- More than 50% myometrial invasion [odds ratio (OR): 3.78; 95% confidence interval (CI): 1.80-7.60], 2- Advanced histological grade [OR=1.98 (1.20-3.20) 95% CI], 3- Malignant peritoneal cytology [OR= 3.06 (1.40-6.30) 95% CI]. The penalized maximum likelihood estimation model correctly classified 87% of the included patients (C-index: 0.876). Conclusion: Our predictive model may help predict LVSI based on different prognostic factors. The prognostic factors included in the nomogram were significantly associated with LVSI, particularly myometrial invasion depth of more than 50%, advanced histological grade, and malignant peritoneal cytology.

Can the ADC Value Be Used as an Imaging "Biopsy" in Endometrial Cancer?

BACKGROUND: The tumor histological grade is closely related to the prognosis of patients with endometrial cancer (EC). Multiparametric MRI, including diffusion-weighted imaging (DWI), provides information about the cellular density that may be useful to differentiate between benign and malignant uterine lesions. However, correlations between apparent diffusion coefficient (ADC) values and histopathological grading in endometrial cancer remain controversial. MATERIAL AND METHODS: We retrospectively evaluated 92 patients with endometrial cancers, including both endometrioid adenocarcinomas (64) and non-endometrioid adenocarcinomas (28). All patients underwent DWI procedures, and mean ADC values were calculated in a region of interest. These values were then correlated with the tumor grading offered by the histopathological examination, which was considered the gold standard. In this way, the patients were divided into three groups (G1, G2, and G3). The ADC values were then compared to the results offered by the biopsy to see if the DWI sequence and ADC map could replace this procedure. We also compared the mean ADC values to the myometrial invasion (50%) and lymphovascular space invasion. RESULTS: We have divided the ADC values into three categories corresponding to three grades: >0.850 × 10-3 mm2/s (ADC1), 0.730-0.849 × 10-3 mm2/s (ADC2) and <0.730 × 10-3 mm2/s (ADC3). The diagnostic accuracy of the ADC value was 85.71% for ADC1, 75.76% for ADC2, and 91.66% for ADC3. In 77 cases out of 92, the category in which they were placed using the ADC value corresponded to the result offered by the histopathological exam with an accuracy of 83.69%. For only 56.52% of patients, the biopsy result included the grading system. For each grading category, the mean ADC value showed better results than the biopsy; for G1 patients, the mean ADC value had an accuracy of 85.71% compared to 66.66% in the biopsy, G2 had 75.76% compared to 68.42%, and G3 had 91.66 compared to 75%. For both deep myometrial invasion and lymphovascular space invasion, there is a close, inversely proportional correlation with the mean ADC value. CONCLUSIONS: Mean endometrial tumor ADC on MR-DWI is inversely related to the histological grade, deep myometrial invasion and lymphovascular space invasion. Using this method, the patients could be better divided into risk categories for personalized treatment.

The Role of Lymphovascular Space Invasion and Cytology in the Prognosis of Endometrial Cancer.

BACKGROUND: Lymphovascular space invasion (LVSI) and cytology are both independent and strong prognostic factors in endometrial cancer. This study aims to highlight the impact of LVSI and cytology positivity on prognosis, in addition to molecular classification. METHODS: A retrospective review was conducted on the records of 223 patients with endometrial cancer diagnosed between January 2011 and January 2021. The inclusion criteria stipulated that the patients were diagnosed with endometrial cancer by endometrial biopsy and were operated in the clinic. The exclusion criteria included sarcoma in the postoperative pathology report results or synchronous tumor. Staging was performed according to the Fédération internationale de gynécologie et d'obstétrique (FIGO) 2009 criteria. Cytology (using 50 cc saline) was obtained upon entry into the peritoneal cavity. In 20 patients, saline was not used due to the presence of ascites in the abdomen. The Kaplan-Meier method was employed to evaluate overall survival and progression-free survival. Survival rates were compared in terms of cytology and LVSI. RESULTS: After analyzing the postoperative pathology results, it was found that the mean tumor size was 4.03 ± 2.3 cm. The most common histological type was endometrioid carcinoma, with stage IA being the most common stage. Out of 223 patients with endometrial cancer, the overall survival rate was 82.4%, and the progression-free survival rate was 88.3%. For patients negative for LVSI, the progression-free survival rate was 93%, while for LVSI-positive patients, it was 77.3% (p < 0.001). Additionally, the progression-free survival rate for patients negative for cytology was 90.4%, whereas for cytology-positive patients, it was 77.1% (p < 0.05). CONCLUSIONS: In our study, we observed that LVSI positivity and cytology positivity also reduced the overall survival rate. We aimed to highlight that, in addition to molecular classification, cytology positivity and LVSI positivity are still highly significant and independent factors in prognosis.

Intrauterine manipulator during hysterectomy for endometrial cancer: a systematic review and meta-analysis of oncologic outcomes.

OBJECTIVE: This study aimed to assess the effects on oncologic outcomes of intrauterine manipulator use during laparoscopic hysterectomy for endometrial cancer. DATA SOURCES: A systematic literature search was performed by an expert librarian in multiple electronic databases from inception to January 31, 2023. STUDY ELIGIBILITY CRITERIA: We included all studies in the English language that compared oncologic outcomes (recurrence-free, cause-specific, or overall survival) between endometrial cancer patients who underwent total laparoscopic or robotic hysterectomy for endometrial cancer with vs without the use of an intrauterine manipulator. Studies comparing only peritoneal cytology status or lymphovascular space invasion were summarized for completeness. No selection criteria were applied to the study design. METHODS: Four reviewers independently reviewed studies for inclusion, assessed their risk of bias, and extracted data. Pooled hazard ratios with 95% confidence intervals were estimated for oncologic outcomes using the random effect model. Heterogeneity was quantified using the I2 tests. Publication bias was assessed by funnel plot and Egger test. RESULTS: Out of 350 identified references, we included 2 randomized controlled trials and 12 observational studies for a total of 14 studies and 5,019 patients. The use of an intrauterine manipulator during hysterectomy for endometrial cancer was associated with a pooled hazard ratio for recurrence of 1.52 (95% confidence interval, 0.99-2.33; P=.05; I2=31%; chi square P value=.22). Pooled hazard ratio for recurrence was 1.48 (95% confidence interval, 0.25-8.76; P=.62; I2=67%; chi square P value=.08) when only randomized controlled trials were considered. Pooled hazard ratio for overall survival was 1.07 (95% confidence interval, 0.65-1.76; P=0.79; I2=44%; chi square P value=.17). The rate of positive peritoneal cytology or lymphovascular space invasion did not differ using an intrauterine manipulator. CONCLUSION: Intrauterine manipulator use during hysterectomy for endometrial cancer was neither significantly associated with recurrence-free and overall survival nor with positive peritoneal cytology or lymphovascular space invasion, but further prospective studies are needed.

A clinical marker-based modeling framework to preoperatively predict lymph node and vascular space involvement in endometrial cancer patients.

INTRODUCTION: Endometrial cancer (EC) has high mortality at advanced stages. Poor prognostic factors include grade 3 tumors, deep myometrial invasion, lymph node metastasis (LNM), and lymphovascular space invasion (LVSI). Preoperative knowledge of patients at higher risk of lymph node involvement, when such involvement is not suspected, would benefit surgery planning and patient prognosis. This study implements an ensemble machine learning approach that evaluates Cancer Antigen 125 (CA125) along with histologic type, preoperative grade, and age to predict LVSI, LNM and stage in EC patients. METHODS: A retrospective chart review spanning January 2000 to January 2015 at a regional hospital was performed. Women 18 years or older with a diagnosis of EC and preoperative or within one-week CA125 measurement were included (n = 842). An ensemble machine learning approach was implemented based on a stacked generalization technique to evaluate CA125 in combination with histologic type, preoperative grade, and age as predictors, and LVSI, LNM and disease stage as outcomes. RESULTS: The ensemble approach predicted LNM and LVSI in EC patients with AUROCTEST of 0.857 and 0.750, respectively, and predicted disease stage with AUROCTEST of 0.665. The approach achieved AUROCTEST for LVSI and LNM of 0.750 and 0.643 for grade 1 patients, and of 0.689 and 0.952 for grade 2 patients, respectively. CONCLUSION: An ensemble machine learning approach offers the potential to preoperatively predict LVSI, LNM and stage in EC patients with adequate accuracy based on CA125, histologic type, preoperative grade, and age.

Diagnostic accuracy of MRI for assessing lymphovascular space invasion in endometrial carcinoma: a meta-analysis.

BACKGROUND: The lymphovascular space invasion (LVSI) status of endometrial cancer (EC) has guiding significance in lymph node dissection. However, LVSI can only be obtained after surgery. Researchers have tried to extract the information of LVSI using magnetic resonance imaging (MRI). PURPOSE: To evaluate the ability of preoperative MRI to predict the LVSI status of EC. MATERIAL AND METHODS: A search was conducted by using the PubMed/MEDLINE, EMBASE, Web of Science, and the Cochrane Library databases. Articles were included according to the criteria. Methodological quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies 2. A bivariate random effects model was used to obtain pooled summary estimates, heterogeneity, and the area under the summary receiver operating characteristic curve (AUC). A subgroup analysis was performed to identify sources of heterogeneity. RESULTS: A total of nine articles (814 patients) were included. The risk of bias was low or unclear for most studies, and the applicability concerns were low or unclear for all studies. The summary AUC values as well as pooled sensitivity and specificity of LVSI status in EC were 0.82, 73%, and 77%, respectively. According to the subgroup analysis, radiomics/non-radiomics features, country/region, sample size, age, MR manufacturer, magnetic field, scores of risk bias, and scores of applicability concern may have caused heterogeneity. CONCLUSION: Our meta-analysis showed that MRI has moderate diagnostic efficacy for LVSI status in EC. Large-sample, uniformly designed studies are needed to verify the true value of MRI in assessing LVSI.

Predictors of recurrence and survival in lymphovascular space invasion negative early-stage endometrioid endometrial cancer patients.

Objective: The purpose of this study was to assess prognostic factors correlated with recurrence and decreased oncologic outcomes, as well as the role of adjuvant treatment on survival in women with stage I and II endometrioid endometrial cancer without lymphovascular space invasion (LVSI). Material and Methods: Patients with LVSI negative, early-stage endometrioid endometrial cancer patients were retrospectively reviewed. Multivariable logistic regression models were used for identifying predictors of recurrence. Overall survival (OS) and disease-free survival (DFS) were estimated using the Kaplan-Meier method, and survival curves were compared by log-rank test. Univariable and multivariable analyses were performed to establish factors affecting OS and DFS. Hazard ratios with 95% confidence intervals were calculated. Results: A total of 289 patients were included, with a mean age of 58 years and the median surveillance time of 45 (6-147) months. The majority of the patients (54%) had grade 1 tumors. Adjuvant therapy was administered to 68 (23.5%). A total of 13 (4.5%) recurred with median time to recurrence of 52 months. Patients receiving adjuvant treatment were more likely to recur (p=0.015), and grade was the only independent predictor of recurrence (p=0.029). Five-year OS and DFS were 95.8% and 97.9%, respectively. While tumor size (p=0.018) and grade 3 histology (p=0.045) were related with shorter DFS, age (p<0.001) was the only related factor for decreased OS. Conclusion: Recurrence rate was low among LVSI negative, early-stage endometrioid endometrial cancer patients. Although recurrences were seen more frequently in patients who received adjuvant treatment, it wasn't an independent prognostic factor. Neither recurrence nor adverse uterine risk factors were associated with shorter OS. While age was the only prognostic factor for decreased OS, grade 3 histology and tumor size were associated with decreased DFS.

Profiling of Lymphovascular Space Invasion in Cervical Cancer Revealed PI3K/Akt Signaling Pathway Overactivation and Heterogenic Tumor-Immune Microenvironments.

Lymphovascular space invasion (LVSI) is the presence of tumor emboli in the endothelial-lined space at the tumor body's invasive edge. LVSI is one of three Sedlis criteria components-a prognostic tool for early cervical cancer (CC)-essential for indicating poor prognosis, such as lymph node metastasis, distant metastasis, or shorter survival rate. Despite its clinical significance, an in-depth comprehension of the molecular mechanisms or immune dynamics underlying LVSI in CC remains elusive. Therefore, this study investigated tumor-immune microenvironment (TIME) dynamics of the LVSI-positive group in CC. RNA sequencing included formalin-fixed paraffin-embedded (FFPE) slides from 21 CC patients, and differentially expressed genes (DEGs) were analyzed. Functional analysis and immune deconvolution revealed aberrantly enriched PI3K/Akt pathway activation and a heterogenic immune composition with a low abundance of regulatory T cells (Treg) between LVSI-positive and LVSI-absent groups. These findings improve the comprehension of LSVI TIME and immune mechanisms, benefiting targeted LVSI therapy for CC.

Treatment outcomes of early-stage endometrial cancer patients: A propensity score matching of vaginal brachytherapy versus pelvic radiotherapy.

OBJECTIVES: This study aimed to report the treatment outcomes of radiation therapy for early-stage endometrial cancer patients. In addition, this study intended to identify high-risk factors that require pelvic radiotherapy (PRT) in addition to vaginal brachytherapy (VBT) for intermediate-risk endometrial cancer patients. METHODS: Patients with early-stage endometrial cancer receiving postoperative VBT alone or with PRT were included. Propensity score matching was used to balance the two study groups. The primary endpoint was locoregional recurrence (LRR). Age-adjusted Charlson comorbidity index and substantial lymphovascular space invasion were selected for subgroup analyses to identify the benefits of PRT over VBT alone. RESULTS: From 2005 to 2017, a total of 288 patients underwent analysis following propensity score matching. Of these, 144 received VBT and 144 received PRT. There was no significant difference in 5-year LRR between VBT and PRT for both intermediate (0% vs. 0%) and high-intermediate risk patients (3.5% VBT vs. 5.4% PRT; HR 0.54: 0.05-6.00; p = 0.616). The subgroup analyses revealed no significant factors favoring PRT over VBT. Patients with high comorbidities may have higher risks of non-cancer death after receiving PRT. CONCLUSIONS: Postoperative VBT alone is sufficient for early-stage intermediate-risk endometrial cancer patients.

A Case for the Conservative Management of Stage IA Cervical Cancer.

Cervical cancer remains a significant public health concern within the United States and across the world. Cervical cancer is most frequently diagnosed in women between the ages of 35 and 44 and therefore affects a younger patient population than many other cancers. The management of early-stage disease has frequently utilized radical hysterectomy with the associated increased surgical morbidity, without clear evidence of any benefits. In stage IA disease, there are retrospective pathologic data supporting the safety of conservative surgery and lymphadenectomy over radical hysterectomy. There are also emerging prospective studies supporting conservative management. This editorial presents the evidence for conservative management of stage IA cervical cancer by reviewing the existing retrospective studies as well as the ongoing prospective studies.

Whole-tumor histogram analysis of apparent diffusion coefficients for predicting lymphovascular space invasion in stage IB-IIA cervical cancer.

Objectives: To investigate the value of apparent diffusion coefficient (ADC) histogram analysis based on whole tumor volume for the preoperative prediction of lymphovascular space invasion (LVSI) in patients with stage IB-IIA cervical cancer. Methods: Fifty consecutive patients with stage IB-IIA cervical cancer were stratified into LVSI-positive (n = 24) and LVSI-negative (n = 26) groups according to the postoperative pathology. All patients underwent pelvic 3.0T diffusion-weighted imaging with b-values of 50 and 800 s/mm2 preoperatively. Whole-tumor ADC histogram analysis was performed. Differences in the clinical characteristics, conventional magnetic resonance imaging (MRI) features, and ADC histogram parameters between the two groups were analyzed. Receiver operating characteristic (ROC) analysis was used to evaluate the diagnostic performance of ADC histogram parameters in predicting LVSI. Results: ADCmax, ADCrange, ADC90, ADC95, and ADC99 were significantly lower in the LVSI-positive group than in the LVSI-negative group (all P-values < 0.05), whereas no significant differences were reported for the remaining ADC parameters, clinical characteristics, and conventional MRI features between the groups (all P-values > 0.05). For predicting LVSI in stage IB-IIA cervical cancer, a cutoff ADCmax of 1.75×10-3 mm2/s achieved the largest area under ROC curve (Az) of 0.750, followed by a cutoff ADCrange of 1.36×10-3 mm2/s and ADC99 of 1.75×10-3 mm2/s (Az = 0.748 and 0.729, respectively), and the cutoff ADC90 and ADC95 achieved an Az of <0.70. Conclusion: Whole-tumor ADC histogram analysis has potential value for preoperative prediction of LVSI in patients with stage IB-IIA cervical cancer. ADCmax, ADCrange, and ADC99 are promising prediction parameters.