Satellite lymphovascular space invasion: An independent risk factor in early stage cervical cancer

Prediction of preoperative lymph-vascular space invasion and survival outcomes of cervical squamous cell carcinoma by utilizing 18F-FDG PET/CT imaging at early stage

OBJECTIVE

To establish nomograms for predicting preoperative lymph-vascular space invasion (LVSI) and survival outcomes of cervical squamous cell carcinoma (CSCC) based on PET/CT radiomics.

METHODS

One hundred and twenty-three patients with CSCC and LVSI status were enrolled retrospectively. Independent predictors of LVSI were identified through clinicopathological factors and PET/CT metabolic parameters. We extracted 1316 features from PET and CT volume of interest, respectively. Additionally, four models (PET-RS: radiomic signature of PET only; CT-RS: radiomic signature of CT only; PET/CT-RS + clinical data; PET/CT-RS: radiomic signature of PET and CT) were established to predict LVSI status. Calculation of radiomics scores of PET/CT was executed for assessment of the survival outcomes, followed by development of nomograms with radiomics (NR) or without radiomics (NWR).

RESULTS

One hundred and twenty-three patients with pathologically confirmed CSCC had been categorized into two sets (training and testing sets). It was found that only maximum standardized uptake value (SUVmax) and squamous cell carcinoma antigen were independent predictors of LVSI. Meanwhile, the PET/CT-RS + clinical data outperformed the other three models in the training set [area under the curve (AUC): 0.91 vs. 0.861 vs. 0.81 vs. 0.814] and the testing set (AUC: 0.885 vs. 0.857 vs. 0.783 vs. 0.798). Additionally, SUVmax and LVSI had been demonstrated to be independent prognostic indicators for progression-free survival and overall survival. Decision curve analysis and calibration curve indicated that NRs were superior to NWRs. The survival outcomes were assessed.

CONCLUSION

PET/CT-based radiomic signature nomogram enables a new method for preoperative prediction of LVSI and survival prognosis for patients with CSCC.

The role of radiomics for predicting of lymph-vascular space invasion in cervical cancer patients based on artificial intelligence: a systematic review and meta-analysis

The primary aim of this study was to conduct a methodical examination and assessment of the prognostic efficacy exhibited by magnetic resonance imaging (MRI)-derived radiomic models concerning the preoperative prediction of lymph-vascular space infiltration (LVSI) in cervical cancer cases. A comprehensive and thorough exploration of pertinent academic literature was undertaken by two investigators, employing the resources of the Embase, PubMed, Web of Science, and Cochrane Library databases. The scope of this research was bounded by a publication cutoff date of May 15, 2023. The inclusion criteria encompassed studies that utilized radiomic models based on MRI to prognosticate the accuracy of preoperative LVSI estimation in instances of cervical cancer. The Diagnostic Accuracy Studies-2 framework and the Radiomic Quality Score metric were employed. This investigation included nine distinct research studies, enrolling a total of 1,406 patients. The diagnostic performance metrics of MRI-based radiomic models in the prediction of preoperative LVSI among cervical cancer patients were determined as follows: sensitivity of 83% (95% confidence interval [CI]=77%-87%), specificity of 74% (95% CI=69%-79%), and a corresponding AUC of summary receiver operating characteristic measuring 0.86 (95% CI=0.82-0.88). The results of the synthesized meta-analysis did not reveal substantial heterogeneity.This meta-analysis suggests the robust diagnostic proficiency of the MRI-based radiomic model in the prognostication of preoperative LVSI within the cohort of cervical cancer patients. In the future, radiomics holds the potential to emerge as a widely applicable noninvasive modality for the early detection of LVSI in the context of cervical cancer.

Multiparametric mri-based radiomics nomogram for predicting lymph-vascular space invasion in cervical cancer

PURPOSE

To develop and validate a multiparametric magnetic resonance imaging (mpMRI)-based radiomics model for predicting lymph-vascular space invasion (LVSI) of cervical cancer (CC).

METHODS

The data of 177 CC patients were retrospectively collected and randomly divided into the training cohort (n=123) and testing cohort (n = 54). All patients received preoperative MRI. Feature selection and radiomics model construction were performed using max-relevance and min-redundancy (mRMR) and the least absolute shrinkage and selection operator (LASSO) on the training cohort. The models were established based on the extracted features. The optimal model was selected and combined with clinical independent risk factors to establish the radiomics fusion model and the nomogram. The diagnostic performance of the model was assessed by the area under the curve.

RESULTS

Feature selection extracted the thirteen most important features for model construction. These radiomics features and one clinical characteristic were selected showed favorable discrimination between LVSI and non-LVSI groups. The AUCs of the radiomics nomogram and the mpMRI radiomics model were 0.838 and 0.835 in the training cohort, and 0.837 and 0.817 in the testing cohort.

CONCLUSION

The nomogram model based on mpMRI radiomics has high diagnostic performance for preoperative prediction of LVSI in patients with CC.

Investigating and Analyzing Prognostic Factors and Their Impact on Recurrent Cervical Cancers

The incidence of cervical cancer in India is significantly high, and the average recurrence age is much less. The standard line of treatment consists of concurrent chemoradiotherapy. If a recurrence occurs, the treatment options or set of interventions are limited and suboptimal. Through this review, we have analyzed and classified the possible prognostic factors for cervical cancer into three broad categories, viz., (a) disease-related factors, (b) patient-related factors, and (c) treatment-related factors. Disease-related factors include tumor histology, tumor size, stage, parametrial involvement (PMI), Prognostic Nutritional Index (PNI), lymphovascular space invasion (LVSI), and nodal status. Patient-related factors include overall treatment time (OTT), nutritional status, hemoglobin level, comorbidities, and age. Treatment-related factors include addition of chemotherapy, techniques of external beam radiotherapy (EBRT), techniques of brachytherapy, and quality assurance for radiation therapy delivery. Out of these, extremely significant prognostic factors were tumor size and stage, nodal status, PMI, nutritional status, and addition of chemotherapy. Impactful factors include younger age, histology, LVSI, associated comorbidities, hemoglobin level, OTT, and patient-specific quality assurance. The factor that is not related or significant is the technique used for EBRT and brachytherapy delivery.

Surgical, oncologic, and obstetric outcomes of radical trachelectomy in early-stage cervical cancer: results from a retrospective cohort study at Brazil National Cancer Institute

Objective

to analyze oncological, obstetrical, and surgical results of young early-stage cervical cancer patients who underwent radical trachelectomy (RT) surgery and wished to maintain their fertility.

Methodology

a retrospective cohort study was carried out concerning cases attended at the Brazilian National Cancer Institute Gynecology Oncology Service. Patients who underwent RT between January 2005 and January 2021 were included.

Results

A total of 32 patients with median age of 32 years old, 62.5% of whom were nulliparous, were assessed. Concerning cancer type, 65.6% squamous cell carcinoma (SCC) cases, 31.2% adenocarcinoma cases and 3.1% adenosquamous carcinoma cases were verified. Stage IA2 was evidenced in 12.5% of the patients and stage IB < 4 cm in 87.5%. Regarding surgical approaches, 68.25% of the patients underwent vaginal RT (VRT), 18.75%, abdominal RT (ART), 9.3%, the robotic radical trachelectomy (RORT) and 3.1%, video laparoscopy radical trachelectomy (VLRT). The median number of removed lymph nodes was 14, with only two detected as positive. Two cases of positive surgical margins were noted. A total of 3.1% intraoperative and 31.25% postoperative complications were observed, with cervical stenosis being the most common. The recurrence rate of the study was 3.1%, with a median follow-up time of 87 months, where 3.1% deaths occurred. The pregnancy rate of the study was 17.85% (5/28), with 54.5% evolving to live births and 45.5% evolving to abortion.

Conclusion

Radical trachelectomy is a feasible procedure presenting good oncological results and acceptable pregnancy rates.

Predicting the status of lymphovascular space invasion using quantitative parameters from synthetic MRI in cervical squamous cell carcinoma without lymphatic metastasis

Purpose

To investigate the value of quantitative longitudinal relaxation time (T1), transverse relaxation time (T2), and proton density (PD) maps derived from synthetic magnetic resonance imaging (MRI) for evaluating the status of lymphovascular space invasion (LVSI) in cervical squamous cell carcinoma (CSCC) without lymph node metastasis (LNM).

Material and methods

Patients with suspected cervical cancer who visited our hospital from May 2020 to March 2023 were collected. All patients underwent preoperative MRI, including routine sequences and synthetic MRI. Patients with pathologically confirmed CSCC without lymphatic metastasis were included in this study. The subjects were divided into negative- and positive-LVSI groups based on the status of LVSI. Quantitative parameters of T1, T2, and PD values derived from synthetic MRI were compared between the two groups using independent samples t-test. Receiver operating characteristic curves were used to determine the diagnostic efficacy of the parameters.

Results

59 patients were enrolled in this study and were classified as positive (n = 32) and negative LVSI groups (n = 27). T1 and T2 values showed significant differences in differentiating negative-LVSI from positive-LVSI CSCC (1307.39 ± 122.02 vs. 1193.03 ± 107.86, P<0.0001; 88.42 ± 7.24 vs. 80.99 ± 5.50, P<0.0001, respectively). The area under the curve (AUC) for T1, T2 values and a combination of T1 and T2 values were 0.756, 0.799, 0.834 respectively, and there is no statistically significant difference in the diagnostic efficacy between individual and combined diagnosis of each parameter.

Conclusions

Quantitative parameters derived from synthetic MRI can be used to evaluate the LVSI status in patients with CSCC without LNM.

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.

The risk of lymph node metastasis in the new FIGO 2018 stage IA cervical cancer with >7 mm diameter

OBJECTIVE

In the 2018 FIGO staging system, cervical cancers with ≤5 mm depth of invasion (DOI) and a diameter of >7 mm, first classified as stage IB, are classified as stage IA. In this group, it is unclear what the risk of lymph node metastasis (LNM) is. This retrospective cohort study aims to determine the incidence of LNM and to study the association between disease-related characteristics and LNM.

METHODS

Women diagnosed with FIGO 2009 IB cervical cancer, with ≤5 mm DOI and a diameter >7 mm, treated with a radical hysterectomy and pelvic lymphadenectomy between 1985 and 2020 were selected from the databases of the Amsterdam University Medical Center and the University Medical Center Groningen. The specimens of patients with LNM were revised by expert pathologists. The incidence of LNM was calculated. The associations between LNM and DOI, diameter, histological type, clinical visibility and lymphovascular space invasion (LVSI) were evaluated by calculating odds ratios using logistic regression.

RESULTS

Of the 389 patients included, 10 had pathologically confirmed LNM (2.6%, 95% confidence interval=1.3%-4.5%). In case of LVSI, univariate analysis showed an increased risk of LNM (p=0.003 and p=0.012, respectively). No difference in LNM was found between lesions diagnosed by microscopy and clinically visible lesions. No LNM were found in patients without LVSI and a DOI of ≤3 mm.

CONCLUSION

For patients with stage IA cervical cancer with a diameter >7 mm, we recommend considering a pelvic lymph node assessment in case of DOI >3 mm and/or presence of LVSI.

A Multicenter Study on Preoperative Assessment of Lymphovascular Space Invasion in Early-Stage Cervical Cancer Based on Multimodal MR Radiomics

BACKGROUND

As lymphovascular space invasion (LVSI) was closely related to lymph node metastasis and prognosis, the preoperative assessment of LVSI in early-stage cervical cancer is crucial for patients.

PURPOSE

To develop and validate nomogram based on multimodal MR radiomics to assess LVSI status in cervical cancer patients.

STUDY TYPE

Retrospective.

POPULATION

The study included 168 cervical cancer patients, of whom 129 cases (age 51.36 ± 9.99 years) from institution 1 were included as the training cohort and 39 cases (age 52.59 ± 10.23 years) from institution 2 were included as the external test cohort.

FIELD STRENGTH/SEQUENCE

There were 1.5 T and 3.0 T MRI scans (T1-weighted imaging [T1WI], fat-saturated T2-weighted imaging [FS-T2WI], and contrast-enhanced [CE]).

ASSESSMENT

Six machine learning models were built and selected to construct the radiomics signature. The nomogram model was constructed by combining the radiomics signature with the clinical signature, which was then validated for discrimination, calibration, and clinical usefulness.

STATISTICAL TESTS

The clinical characteristics were compared using t-tests, Mann-Whitney U tests, or chi-square tests. The Spearman and LASSO methods were used to select radiomics features. The receiver operating characteristic (ROC) analysis was performed, and the area under the curve (AUC), accuracy, sensitivity, and specificity were calculated.

RESULTS

The logistic regression (LR) model performed best in each sequence. The AUC of CE-T1-T2WI-combined was the highest in the LR model, with an AUC of 0.775 (95% CI: 0.570-0.979) in external test cohort. The nomogram showed high predictive performance in the training (AUC: 0.883 [95% CI: 0.823-0.943]) and test cohort (AUC: 0.830 [95% CI: 0.657-1.000]) for predicting LVSI. Decision curve analysis demonstrated that the nomogram was clinically useful.

DATA CONCLUSION

Our findings suggest that the proposed nomogram model based on multimodal MRI of CE T1WI-T2WI-combined could be used to assess LVSI status in early cervical cancer.

EVIDENCE LEVEL

4.

TECHNICAL EFFICACY

Stage 2.

Prognostic Value of Mandard's Tumor Regression Grade (TRG) in Post Chemo-Radiotherapy Cervical Cancer

In locally advanced cervical cancer (LACC), definitive chemo-radiotherapy is the standard treatment, but chemo-radiotherapy followed by surgery could be an alternative choice in selected patients. We enrolled 244 patients affected by LACC and treated with CT-RT followed by surgery in order to assess the prognostic role of the histological response using the Mandard scoring system. Results: A complete pathological response (TRG 0) was observed in 118 patients (48.4%), rare residual cancer cells (TRG2) were found in 49 cases (20.1%), increased number of cancer cells but fibrosis still predominating (TRG3) in 35 cases (14.3%), and 42 (17.2%) were classified as non-responders (TRG4-5). TRG was significantly associated with both OS (p < 0.001) and PFS (p < 0.001). The survival curves highlighted two main prognostic groups: TRG1-TRG2 and TRG3-TRG4-5. Main responders (TRG1-2) showed a 92% 5-year overall survival (5y-OS) and a 75% 5-year disease free survival (5y-DFS). Minor or no responders showed a 48% 5y-OS and a 39% 5y-DFS. The two-tiered TRG was independently associated with both DFS and OS in Cox regression analysis. Conclusion. We showed that Mandard TRG is an independent prognostic factor in post-CT/RT LACC, with potential benefits in defining post-treatment adjuvant therapy.

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

ADC_max, ADC_range, 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 ADC_max of 1.75×10^-3 mm²/s achieved the largest area under ROC curve (A_z) of 0.750, followed by a cutoff ADC_range of 1.36×10^-3 mm²/s and ADC₉₉ of 1.75×10^-3 mm²/s (A_z = 0.748 and 0.729, respectively), and the cutoff ADC₉₀ and ADC₉₅ achieved an A_z 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. ADC_max, ADC_range, and ADC₉₉ are promising prediction parameters.

Prognostic value of lymphovascular space invasion in stage IA to IIB cervical cancer: A meta-analysis

BACKGROUND

Lymphovascular space invasion (LVSI) is a prognostic factor in the existing TNM classification system. The present meta-analysis assessed the role of LVSI in predicting the prognosis of stage IA to IIB cervical cancer (CC).

MATERIALS AND METHODS

PubMed, EMBASE, and Cochrane Library electronic databases were searched to determine relevant articles published in the English language. Our search deadline was May 2022. Critical Appraisal of Prognostic Studies was used to assess the quality for each article. Pooled hazard ratios (HRs) were used to evaluate the performance of LVSI in prognosis prediction.

RESULTS

We enrolled 8 studies involving 25,352 patients published after 2010. Thus, high LVSI was an unfavorable factor in predicting overall survival (HR, 2.08; 95% confidence interval, 1.63-2.66; P = .006) and disease-free survival (HR, 2.20; 95% confidence interval, 1.79-2.70; P = .000) for patients with CC. However, the disease-free survival and overall survival were significantly different on univariate analysis based on the subgroup analysis stratified by analysis method, but no obvious heterogeneity was found across diverse articles.

CONCLUSIONS

The present study showed that LVSI predicts the poor prognostic outcome of stage IA to IIB CC. However, well-designed clinical articles should further assess the independent prognosis prediction performance of LVSI in CC.

Recent Advances in Cervical Cancer Management: A Review on Novel Prognostic Factors in Primary and Recurrent Tumors

BACKGROUND

Several pathological parameters, including tumor size, depth of stromal invasion, lympho-vascular space invasion and lymph node status, have been proposed as prognostic predictors in cervical cancer. However, given the high mortality and recurrence rate of cervical cancer, novel parameters that are able to provide additional prognostic information are needed in order to allow a better prognostic stratification of cervical cancer patients.

METHODS

A search was conducted on PubMed to identify relevant literature data regarding prognostic factors in cervical cancer. The key words "cervical cancer", "prognostic factors", "pathology", and "outcome" were used.

RESULTS

The novel pathological grading system based on tumor budding and cell nest size appeared the most relevant prognostic factor in primary neoplasms. Moreover, other potentially useful prognostic factors were tumor size, depth of stromal invasion, lympho-vascular space invasion, perineural invasion, tumor-free distance and tumor-infiltrating lymphocytes. Prognostic factors related to advanced-stage cervical cancer, including lymph-nodes status, endometrial and cervical involvement as well as distant metastases, were also taken into consideration.

CONCLUSIONS

According to our findings, tumor budding and cell nest size grading system, depth of stromal invasion, lympho-vascular space invasion, perineural invasion, tumor-free distance and tumor-infiltrating lymphocytes appeared the most relevant factors included in the pathology report.

Amide proton transfer weighted imaging combined with dynamic contrast-enhanced MRI in predicting lymphovascular space invasion and deep stromal invasion of IB1-IIA1 cervical cancer

Objectives

To investigate the value of amide proton transfer weighted (APTw) imaging combined with dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in predicting intermediate-risk factors of deep stromal invasion (DSI) and lymphovascular vascular space invasion (LVSI) in cervical cancer.

Methods

Seventy patients with cervical cancer who underwent MRI before operation from July 2019 to February 2022 were retrospectively included in this study. Clinical information including age, histologic subtype etc. were recorded for patients. ATPw imaging parameter APT_mean and DCE-MRI parameters K^trans, K_ep and V_e were measured and analyzed. The independent-sample t-test, Mann-Whitney U test, or Chi-square test was used to compare the differences of parameters between DSI/LVSI positive and negative groups. Logistic analysis was used to develop a combined predictive model. The receiver operating characteristic curve was for predictive performance. ANOVA and Kruskal-Wallis test were used to compare the differences of consecutive parameters among multiple groups.

Results

K^trans and SCC-Ag were independent factors in predicting DSI; K^trans+SCC-Ag had the highest AUC 0.819 with sensitivity and specificity of 71.74% and 91.67%, respectively. APT_mean and K^trans were independent factors in predicting LVSI; APT_mean+K^trans had the highest AUC 0.874 with sensitivity and specificity of 92.86% and 75.00%, respectively. K^trans and Ve could discriminate coexistence of DSI and LVSI from presence of single one, APT_mean could discriminate the presence of DSI or LVSI from no risk factor presence.

Conclusion

The combination of APTw and DCE-MRI is valuable in predicting intermediate-risk factors of DSI and LVSI in cervical cancer.

Roles of DWI and T2-weighted MRI volumetry in the evaluation of lymph node metastasis and lymphovascular invasion of stage IB-IIA cervical cancer

AIM

To determine whether magnetic resonance imaging volumetry on T2-weighted imaging (T2WI) and diffusion-weighted imaging (DWI) could be used to assess lymph node metastases (LNM) and lymphovascular invasion (LVSI) in resectable cervical cancer.

MATERIAL AND METHODS

Sixty-five consecutive patients with cervical cancer were enrolled retrospectively. Tumour size, including maximum transverse diameter, tumour length, and gross tumour volume (GTV), was evaluated on DWI and T2WI. Apparent diffusion coefficient (ADC) values were measured. Univariate, multivariate, and receiver operating characteristic (ROC) curve analyses were performed to determine whether tumour size and ADC could be used to assess LNM and LVSI.

RESULTS

Tumour length on both T2WI and DWI, and T2WI-based and DWI-based GTVs could be used to assess LNM (p=0.002, 0.004, 0.001, and <0.001, respectively). Tumour length on T2WI, T2WI-based GTV, DWI-based GTV, and ADC value could be used assess LVSI (p=0.039, 0.038, 0.012, 0.039, respectively). Multivariate analyses showed both T2WI-based GTV (odds ratio [OR] = 1.044; p=0.008) and DWI-based GTV (OR=1.941; p=0.019) were independent risk factors for LNM. T2WI-based GTV (OR=1.023, p=0.038) and DWI-based GTV (OR=3.275, p=0.008) were independent risk factors for LVSI. No statistically significant difference was identified between the area under the ROC curve (AUC) of the DWI-based GTV and the T2WI-based GTV (0.790 versus 0.775, p=0.113), or the tumour length on both T2WI (0.790 versus 0.734, p=0.185) and DWI (0.790 versus 0.737, p=0.333) for LNM. For LVSI, the AUC of DWI-based GTV was higher than T2WI-based GTV (0.720 versus 0.682, p=0.006).

CONCLUSION

GTV on both T2WI and DWI could be used assess LNM and LVSI. DWI-based GTV might show the greatest potential for assessing LNM and LVSI in resectable cervical cancer.

The impaction laparoscopic versus laparotomy for lymphovascular space invasion of early cervical cancer: A multicenter retrospective study

Objectives:

The aim of this study was to compare the lymphovascular space invasion between laparoscopic radical hysterectomy (LRH) and abdominal radical hysterectomy (ARH).

Materials and Methods:

One retrospective study was conducted with 391 patients treated with 242 patients underwent ARH and 149 patients underwent LRH between May 2010 and August 2019. We collected clinicopathological and perioperative outcome from medical records. We adopt Student's t-test and Chi-square test was used to compare continuous and categorical variables between LRH and ARH.

Results:

Our research found that there was no difference in tumor size, histology, pathology grades, positive lymph nodes, and postoperative complications between LRH and ARH (P > 0.05). The estimated blooding loss (EBL) and length of postoperative hospital stay were less for LRH than ARH (248.12 ml vs. 412.56 ml, P < 0.05, and 10.48 days vs. 15.16 days, P < 0.05). The mean operative time was longer for LRH than ARH (227.51 min vs. 215.62 min, P < 0.05). Significant difference was found in intraoperative complications (P < 0.05). However, LVSI was higher for LRH than ARH (36.8% vs. 19.8%, P < 0.05). We discovered that the LVSI was related with International Federation of Obstetrics and Gynecology stage and tumor size.

Conclusion:

Compared to ARH, the LRH would be advantageous for early cervical cancer in terms of EBL, length of postoperative hospital stay, and intraoperative complications. The ARH was superior to LRH in operative time. In addition to, LRH was more likely to lead to LVSI. Furthermore, when tumor size or stage was increasing, LRH was easily to generate LVSI. But, we cannot confirm recurrence rate is related to LVSI.

Cervical Cancer and Fertility-Sparing Treatment

Radical hysterectomy with pelvic node dissection is the standard treatment for early-stage cervical cancer. However, the latter can be diagnosed at a young age when patients have not yet achieved their pregnancy plans. Dargent first described the vaginal radical trachelectomy for patients with tumors <2 cm. It has since been described a population of low risk of recurrence: patients with tumors <2 cm, without deep stromal infiltration, without lymphovascular invasion (LVSI), and with negative lymph nodes. These patients can benefit from a less radical surgery such as conization or simple trachelectomy with the evaluation of the pelvic node status. Tumors larger than 2 cm have a higher risk of recurrence and their treatment is a challenge. There are currently two options for these patients: abdominal radical trachelectomy or neoadjuvant chemotherapy (NACT), followed by fertility-sparing surgery. All patients who wish to preserve their fertility must be referred to expert centers.

Combination of Radiomics and Machine Learning with Diffusion-Weighted MR Imaging for Clinical Outcome Prognostication in Cervical Cancer

Objectives: To explore the potential of Radiomics alone and in combination with a diffusion-weighted derived quantitative parameter, namely the apparent diffusion co-efficient (ADC), using supervised classification algorithms in the prediction of outcomes and prognosis. Materials and Methods: Retrospective evaluation of the imaging was conducted for a study cohort of uterine cervical cancer, candidates for radical treatment with chemo radiation. ADC values were calculated from the darkest part of the tumor, both before (labeled preADC) and post treatment (labeled postADC) with chemo radiation. Post extraction of 851 Radiomics features and feature selection analysis—by taking the union of the features that had Pearson correlation >0.35 for recurrence, >0.49 for lymph node and >0.40 for metastasis—was performed to predict clinical outcomes. Results: The study enrolled 52 patients who presented with variable FIGO stages in the age range of 28–79 (Median = 53 years) with a median follow-up of 26.5 months (range: 7–76 months). Disease recurrence occurred in 12 patients (23%). Metastasis occurred in 15 patients (28%). A model generated with 24 radiomics features and preADC using a monotone multi-layer perceptron neural network to predict the recurrence yields an AUC of 0.80 and a Kappa value of 0.55 and shows that the addition of radiomics features to ADC values improves the statistical metrics by approximately 40% for AUC and approximately 223% for Kappa. Similarly, the neural network model for prediction of metastasis returns an AUC value of 0.84 and a Kappa value of 0.65, thus exceeding performance expectations by approximately 25% for AUC and approximately 140% for Kappa. There was a significant input of GLSZM features (SALGLE and LGLZE) and GLDM features (SDLGLE and DE) in correlation with clinical outcomes of recurrence and metastasis. Conclusions: The study is an effort to bridge the unmet need of translational predictive biomarkers in the stratification of uterine cervical cancer patients based on prognosis.

Prediction of lymphovascular space invasion using a combination of tenascin-C, cox-2, and PET/CT radiomics in patients with early-stage cervical squamous cell carcinoma

BACKGROUND

Lymphovascular space invasion is an independent prognostic factor in early-stage cervical cancer. However, there is a lack of non-invasive methods to detect lymphovascular space invasion. Some researchers found that Tenascin-C and Cyclooxygenase-2 was correlated with lymphovascular space invasion. Radiomics has been studied as an emerging tool for distinguishing tumor pathology stage, evaluating treatment response, and predicting prognosis. This study aimed to establish a machine learning model that combines radiomics based on PET imaging with tenascin-C (TNC) and cyclooxygenase-2 (COX-2) for predicting lymphovascular space invasion (LVSI) in patients with early-stage cervical cancer.

METHODS

One hundred and twelve patients with early-stage cervical squamous cell carcinoma who underwent PET/CT examination were retrospectively analyzed. Four hundred one radiomics features based on PET/CT images were extracted and integrated into radiomics score (Rad-score). Immunohistochemical analysis was performed to evaluate TNC and COX-2 expression. Mann-Whitney U test was used to distinguish differences in the Rad-score, TNC, and COX-2 between LVSI and non-LVSI groups. The correlations of characteristics were tested by Spearman analysis. Machine learning models including radiomics model, protein model and combined model were established by logistic regression algorithm and evaluated by ROC curve. Pairwise comparisons of ROC curves were tested by DeLong test.

RESULTS

The Rad-score of patients with LVSI was significantly higher than those without. A significant correlation was shown between LVSI and Rad-score (r = 0.631, p < 0.001). TNC was correlated to both the Rad-score (r = 0.244, p = 0.024) and COX-2 (r = 0.227, p = 0.036). The radiomics model had the best predictive performance among all models in training and external dataset (AUCs: 0.914, 0.806, respectively, p < 0.001). However, in testing dataset, the combined model had better efficiency for predicting LVSI than other models (AUCs: 0.801 vs. 0.756 and 0.801 vs. 0.631, respectively).

CONCLUSION

The machine learning model of the combination of PET radiomics with COX-2 and TNC provides a new tool for detecting LVSI in patients with early-stage cervical cancer. In the future, multicentric studies on larger sample of patients will be used to test the model.

TRIAL REGISTRATION

This is a retrospective study and there is no experimental intervention on human participants. The Ethics Committee has confirmed that retrospectively registered is not required.

The role of semiquantitative evaluation of lympho-vascular space invasion in early stage cervical cancer patients

OBJECTIVE

Lymph vascular space involvement (LVSI) is one of the most important prognostic factors in early stage cervical cancer. Its qualitative evaluation represents a milestone for patient risk stratification and treatment choice, but a semi-quantitative analysis of LVSI may offer a more truthful risk model, as already demonstrated for endometrial cancer. The present study aims to investigate the performances of a semi-quantitative evaluation of LVSI in terms of patient risk assessment.

METHODS

In this retrospective study were enrolled patients underwent surgical treatment for early cervical cancer from January 2009 to October 2018. A semi-quantitative evaluation such as the "three-tiered approach" was used to classify the LVSI pathway: negative vs. focal vs. diffuse.

RESULTS

Diffuse LVSI was found to be a risk factor for lymph node metastasis (OR: 9.844, p < 0.001), and parametrial involvement (OR: 5.566, p < 0.001). Lymph nodal recurrences were more frequent in diffuse LVSI group (LVSI negative vs. focal LVSI p = 0.369; LVSI negative vs. diffuse LVSI p = 0.002; Focal LVSI vs. diffuse LVSI p = 0.214); and so distant recurrences (LVSI negative vs. focal LVSI p = 0.623; LVSI negative vs. diffuse LVSI p = 0.002; Focal LVSI vs. diffuse LVSI p = 0.026). Patients with diffuse LVSI showed a worse disease-free survival (DFS) than patients with focal or absent involvement (DFS LVSI negative vs. focal LVSI p = 0.938; LVSI negative vs. diffuse LVSI p < 0.001; focal LVSI vs. diffuse LVSI p = 0.036).

CONCLUSION

Semi-quantitative evaluation of LVSI may be useful to identify risk patients for shorter disease-free survival and lymphatic and distant recurrences in patients with early stage.

Neo-adjuvant chemotherapy in fertility-sparing cervical cancer treatment

The current review provides a literature overview of studies assessing the oncological and fertility outcomes of treatment with neo-adjuvant chemotherapy followed by fertility-sparing surgery in patients with cervical cancer >2 cm. Six cohort studies were included showing severe heterogeneity regarding patient selection, chemotherapy regimen, and surgical approach. In total, 111 patients were studied, with overall favorable characteristics. Patients were on average 29 years old, had a tumor of 36 mm, no lymph node metastasis, and response to chemotherapy. In approximately 5-year follow-up, the recurrence rate was 13% (0%-21%) and overall death rate 2.7% (0%-10%). Three patients were alive with recurrent disease (2.7% and 0%-11%). Of the 111 patients, 90 underwent successful fertility-sparing treatment (83%). Roughly one-third conceived and one-fourth had a healthy live-born child. More research is essential to determine proper selection criteria for fertility-sparing treatment of cervical cancer >2 cm and the optimal treatment management.

Value of integrated PET-IVIM MRI in predicting lymphovascular space invasion in cervical cancer without lymphatic metastasis

PURPOSE

To evaluate the contributory value of positron emission tomography (PET)-intravoxel incoherent motion (IVIM) magnetic resonance imaging (MRI) in the prediction of lymphovascular space invasion (LVSI) in patients with cervical cancer without lymphatic metastasis.

MATERIALS AND METHODS

A total of 90 patients with cervical cancer without signs of lymph node metastasis on PET/MRI were enrolled in this study. The tumours were classified into LVSI-positive (n = 25) and LVSI-negative (n = 65) groups according to postoperative pathology. The PET-derived parameters (SUV_max, SUV_mean, metabolic tumour volume (MTV) and total lesion glycolysis (TLG)) and IVIM-derived parameters (ADC_mean, ADC_min, D_mean, D_min, f, D* and gross tumour volume (GTV)) between the two groups were evaluated using a Student's t test (Mann-Whitney U test for variables with a nonnormal distribution) and receiver operating characteristic (ROC) curves. The optimal combination of PET/MR parameters for predicting LVSI was investigated using univariate and multivariate logistic regression models and evaluated by ROC curves. The optimal cutoff threshold values corresponded to the maximal values of the Youden index. A control model was established using 1000 bootstrapped samples, for which the performance was validated using calibration curves and ROC curves.

RESULTS

PET-derived parameters (SUV_max, SUV_mean, MTV, TLG) and IVIM MRI-derived parameters (D_min, ADC_min, GTV) were significantly different between patients with and without LVSI (P < 0.05). Logistic analyses showed that a combination of TLG and D_min had the strongest predictive value for LVSI diagnosis (area under the curve (AUC), 0.861; sensitivity, 80.00; specificity, 86.15; P < 0.001). The optimal cutoff threshold values for D_min and TLG were 0.58 × 10^-3 mm²/s and 66.68 g/cm³, respectively. The verification model showed the combination of TLG and D_min had the strongest predictive value, and its ROC curve and calibration curve showed good accuracy (AUC, 0.878) and consistency.

CONCLUSIONS

The combination of TLG and D_min may be the best indicator for predicting LVSI in cervical cancer without lymphatic metastasis.

British Gynaecological Cancer Society (BGCS) cervical cancer guidelines: Recommendations for practice

Cervix cancer in many countries is declining and screening programmes and immunisation will reduce the incidence in the next few decades. This guideline attempts to cover management of invasive disease reflecting diagnosis and imaging including new imaging and sentinel lymph node biopsies. Smaller volume disease is usually managed surgically whereas advanced disease is treated with (chemo)- radiation. It also includes discussion of fertility sparing procedures. Practices are changing frequently for all aspects of care usually in attempts to reduce complications and improve quality of life. The management of advanced disease is treated by chemotherapy and the use of newer agents is also discussed. Other sections discuss specialist situations such as cancer in pregnancy, rare cervical tumours, late effects and supportive measures and fertility preserving approaches.

Neoadjuvant Chemotherapy Followed by Vaginal Radical Trachelectomy as Fertility-Preserving Treatment for Patients with FIGO 2018 Stage 1B2 Cervical Cancer

BACKGROUND

Standard treatment for International Federation of Gynecology and Obstetrics (FIGO) 2018 stage 1B2 cervical cancer (i.e., tumor size between 2 and 4 cm) is a radical hysterectomy (RH) with pelvic lymph node dissection (PLND). We evaluated the oncological and fertility outcomes treatment in patients receiving a fertility-sparing alternative consisting of neoadjuvant chemotherapy (NACT) followed by vaginal radical trachelectomy (VRT).

METHODS

Patients with stage 1B2 cervical cancer who wished to preserve fertility were included from September 2009 to September 2018. NACT consisted of 6-week cycles of cisplatin or carboplatin with paclitaxel. If tumor size decreased to 2 cm or smaller, NACT was followed by a robot-assisted PLND and VRT.

RESULTS

Eighteen patients were included. Median follow-up time was 49.7 months (range 11.4-110.8). Median tumor size was 32 mm (range 22-40 mm). Complete remission after NACT occurred in seven women. Four women had a poor response on NACT. Three underwent RH with PLND; one received chemoradiation after PLND instead of VRT because of positive lymph nodes. The remaining 14 patients received VRT 3-4 weeks after NACT. Four recurrences occurred: three after NACT and VRT and one after NACT and RH. Median time to recurrence was 20.8 months (range 17.0-105.7). Three recurrences occurred in women with adenocarcinoma with lymph vascular space invasion (LVSI). In four women fertility could not be preserved. To date, four women had six pregnancies, including three live births born at term, two first trimester miscarriages, and one currently ongoing pregnancy.

CONCLUSION

NACT and VRT in women with stage 1B2 cervical cancer showed promising results. In 78% fertility was preserved. However, patients with poor response on NACT and with adenocarcinoma and/or LVSI were possibly at risk for recurrence. Long-term results in relation to fertility and oncological outcome are needed to corroborate these findings.

IMPLICATIONS FOR PRACTICE

Standard treatment for women with International Federation of Gynecology and Obstetrics (FIGO) 2018 stage 1B2 cervical cancer (tumor size 2-4 cm) is a radical hysterectomy and pelvic lymph node dissection (PLND). However, many of these women are young and wish to preserve fertility. Data on fertility-sparing treatment options are sparse, but neoadjuvant chemotherapy followed by a vaginal radical trachelectomy and PLND could be an alternative. Since 2009 we performed an observational cohort study in which 18 women opted for this treatment in our center. In 14 women fertility could be preserved. In four patients the tumor recurred. In four women six pregnancies occurred. After careful selection this treatment could be a good fertility-sparing treatment option.

Prognostic significance of lymphovascular space invasion for stage IA1 and IA2 cervical cancer

BACKGROUND

Data regarding the prognostic significance of lymphovascular space invasion (LVSI) for stage IA1 and IA2 cervical cancer are limited. Specifically, the role of LVSI as an independent risk factor for mortality in stage IA disease has not been shown.

OBJECTIVE

We examined the association between LVSI and nodal metastases and survival for women with stage IA1 and IA2 cervical cancer.

STUDY DESIGN

We used the National Cancer Database to identify patients with stage IA adenocarcinoma or squamous carcinoma of the cervix from January 2010 through December 2015 for whom LVSI status was known. Mixed-effect log-Poisson models were used to identify predictors of LVSI. Cox proportional hazard models and Kaplan-Meier curves were used to compare all-cause mortality.

RESULTS

We identified 3239 patients with stage IA1 and 1049 patients with stage IA2 carcinoma of the cervix. Among patients with stage IA1 and IA2 disease, 10.5% and 18.8% had LVSI, respectively. Less than 1% of patients with stage IA1 disease without LVSI had positive nodes compared with 7.8% of those with LVSI (p<0.001). Lymphatic metastases were identified in 1.7% of stage IA2 cases without LVSI versus 14.6% for those with LVSI (p<0.001). Among both stage IA1 and IA2 patients, squamous histology, grade 3 tumor differentiation, and white race were associated with LVSI (p<0.05 for all). In a univariable model, the hazard ratio for death associated with LVSI was 1.05 (95% CI 0.45 to 2.45) for women with stage IA1 tumors and 2.36 (95% CI 1.04 to 5.33) for those with IA2 neoplasms.

CONCLUSIONS

LVSI is associated with lymph node metastases in patients with stage IA cervical cancer. LVSI is associated with decreased survival for women with stage IA2 cervical cancer.

Feasibility of an ADC-based radiomics model for predicting pelvic lymph node metastases in patients with stage IB-IIA cervical squamous cell carcinoma

OBJECTIVES

To investigate the prediction value of a radiomics model based on apparent diffusion coefficient (ADC) maps for pelvic lymph node metastasis (PLNM) in patients with stage IB-IIA cervical squamous cell carcinoma (CSCC).

METHODS

A total of 153 stage IB-IIA CSCC patients who underwent preoperative MRI including DWI from January 2015 to October 2017 were retrospectively studied and divided into a training cohort ( n = 102) and a validation cohort ( n = 51). Radiomics features were extracted from the ADC maps. The one-way ANOVA method, Mann-Whitney U test and Pearson's correlation analysis were used for selecting radiomics features. Logistic regression analyses were used to develop the model. ROC analyses were used to evaluate the prediction performance of the model.

RESULTS

Clinical stage, tumor diameter, and MR-reported lymph node (LN) status were significantly associated with LN status ( p < 0.05 for both the training and validation cohorts). The radiomics model, which incorporated clinical stage, MR-reported LN status, and grey-level non-uniformity, showed good predictive performance in the training group (AUC 0.864; 95% CI, 0.782 - 0.924) and the validation group (AUC 0.870; 95% CI, 0.747 - 0.948). The performance of the radiomics model was significantly better than that of each predictive factor alone.

CONCLUSION

The presented radiomics model, a non-invasive preoperative prediction tool, has the potential to have more predictive efficacy than clinical and radiological factors for differentiating between metastatic and non-metastatic lymph nodes.

ADVANCES IN KNOWLEDGE

A radiomics model derived from the ADC maps of primary lesions demonstrated good performance for predicting PLNM in stage IB-IIA CSCC patients and may help to improve clinical decision-making.

Significance of Lymphovascular Space Invasion by the Sarcomatous Component in Uterine Carcinosarcoma

OBJECTIVE

The aim of this study was to examine the significance of lymphovascular space invasion (LVSI) with a sarcomatous component on the tumor characteristics and clinical outcomes of women with uterine carcinosarcoma (UCS).

METHODS

This was a secondary analysis of a prior multicenter retrospective study that examined women with stage I-IV UCS who underwent primary hysterectomy. Archived histopathology slides were reviewed and LVSI was scored as follows: LVSI with a carcinomatous component alone (LVSI-carcinoma; n = 375, 76.8%) or LVSI containing a sarcomatous component with or without a carcinomatous component (LVSI-sarcoma; n = 113, 23.2%). Qualitative metrics of LVSI were correlated to clinicopathological factors and survival outcome.

RESULTS

Tumors in the LVSI-sarcoma group were more likely to have sarcoma dominance (82.1 vs. 26.4%) heterologous sarcomatous component (51.3 vs. 37.9%), low-grade carcinoma (42.5 vs. 22.4%), and large tumor size (81.0 vs. 70.2%) in the primary tumor site compared with tumors in the LVSI-carcinoma group (all p < 0.05). On multivariate analysis, LVSI-sarcoma was independently associated with decreased progression-free survival (5-year rates: 34.9 vs. 40.8%, adjusted hazard ratio [HR] 1.84, 95% confidence interval [CI] 1.36-2.50, p < 0.001), and cause-specific survival (5-year rates: 41.8 vs. 55.9%, adjusted HR 1.95, 95% CI 1.39-2.75, p < 0.001) compared with LVSI-carcinoma. Postoperative radiotherapy for women with LVSI-sarcoma had a higher reduction rate of recurrence/progression of disease (54% reduction, p = 0.04) compared with postoperative radiotherapy for women with LVSI-carcinoma (26% reduction, p = 0.08).

CONCLUSION

In UCS, the presence of a sarcomatous component in LVSI is particularly prevalent when a tumor has sarcoma dominance. Our study suggests that LVSI containing a sarcomatous component may be a predictor of decreased survival for women with UCS.

The central role of the pathologist in the management of patients with cervical cancer: ESGO/ESTRO/ESP guidelines

The European Society of Gynaecological Oncology (ESGO), the European Society for Radiotherapy & Oncology (ESTRO) and the European Society of Pathology (ESP) nominated an international multidisciplinary development group consisting of practicing clinicians who have demonstrated leadership and expertise in cervical cancer to produce evidence-based guidelines regarding all aspects of the management of patients with this disease. Herein, we provide a detailed analysis of the pathological reporting of cervical carcinoma specimens, focusing on practical aspects of specimen sampling and on the core pathological data which are critical for patient management.

Preoperative CA125 and fibrinogen in patients with endometrial cancer: a risk model for predicting lymphovascular space invasion

OBJECTIVE

The aim of this study was to build a model to predict the risk of lymphovascular space invasion (LVSI) in women with endometrial cancer (EC).

METHODS

From December 2010 to June 2013, 211 patients with EC undergoing surgery at Shanghai First Maternity and Infant Hospital were enrolled in this retrospective study. Those patients were divided into a positive LVSI group and a negative LVSI group. The clinical and pathological characteristics were compared between the two groups; logistic regression was used to explore risk factors associated with LVSI occurrence. The threshold values of significant factors were calculated to build a risk model and predict LVSI.

RESULTS

There were 190 patients who were negative for LVSI and 21 patients were positive for LVSI out of 211 patients with EC. It was found that tumor grade, depth of myometrial invasion, number of pelvic lymph nodes, and International Federation of Gynecology and Obstetrics (FIGO) stage (p<0.05) were associated with LVSI occurrence. However, cervical involvement and age (p>0.05) were not associated with LVSI. Receiver operating characteristic (ROC) curves revealed that the threshold values of the following factors were correlated with positive LVSI: 28.1 U/mL of CA19-9, 21.2 U/mL of CA125, 2.58 mg/dL of fibrinogen (Fn), 1.84 U/mL of carcinoembryonic antigen (CEA) and (6.35×10⁹)/L of white blood cell (WBC). Logistic regression analysis indicated that CA125 ≥21.2 (p=0.032) and Fn ≥2.58 mg/dL (p=0.014) were significantly associated with LVSI.

CONCLUSION

Positive LVSI could be predicted by CA125 ≥21.2 U/mL and Fn ≥2.58 mg/dL in women with EC. It could help gynecologists better adapt surgical staging and adjuvant therapies.

Risk model in stage IB1-IIB cervical cancer with positive node after radical hysterectomy

The purpose of this study was to identify risk factors in patients with surgically treated node-positive IB1-IIB cervical cancer and to establish a risk model for disease-free survival (DFS) and overall survival (OS). A total of 170 patients who underwent radical hysterectomy and bilateral pelvic lymphadenectomy as primary treatment for node-positive International Federation of Gynaecology and Obstetrics (FIGO) stage IB1-IIB cervical cancer from January 2002 to December 2008 were retrospectively analyzed. Five published risk models were evaluated in this population. The variables, including common iliac lymph node metastasis and parametrial invasion, were independent predictors of outcome in a multivariate analysis using a Cox regression model. Three distinct prognostic groups (low, intermediate, and high risk) were defined using these variables. Five-year DFS rates for the low-, intermediate-, and high-risk groups were 73.7%, 60.0%, and 25.0%, respectively (P<0.001), and 5-year OS rates were 81.9%, 42.8%, and 25.0%, respectively (P<0.001). The risk model derived in this study provides a novel means for assessing prognosis of patients with node-positive stage IB1-IIB cervical cancer. Future study will focus on external validation of the model and refinement of the risk scoring systems by adding new biologic markers.