Long-standing complications after treatment for cancer of the uterine cervix--clinical significance of medical examination at 5 years after treatment

Effectiveness of sentinel lymph node biopsy and bilateral pelvic nodal dissection using methylene blue dye in early-stage operable cervical cancer-A prospective study

OBJECTIVE

To evaluate the effectiveness of methylene blue dye in detecting sentinel lymph nodes (SLNs) in women with early-stage operable (defined as FIGO I-IIA) cervical cancer. It also aims to evaluate procedural challenges and accuracy.

METHOD

This prospective study, which focused on 20 women with early-stage cervical cancer, was carried out between June 2016 and December 2017. These patients had SLN mapping with methylene blue dye injections and thorough examinations, including imaging. All patients underwent radical hysterectomy and complete bilateral pelvic lymphadenectomy. No additional investigation was done on the lymph node in cases where a metastasis was found in the first H&E-stained segment of the sentinel node.

RESULT

20 patients were included in the analysis. The median age of the subjects was 53, and 95 % of them had squamous cell carcinoma. 90 % of the time, the identification of SLNs was effective, and 55 SLNs were found, of which 52.7 % were on the right side of the pelvis and 47.3 % on the left. The obturator group had the most nodes, followed by the external and internal iliac groups in descending order of occurrence. Metastasis was detected in 3 patients, resulting in a sensitivity of 100 % and a specificity of 93.75 % for SLN biopsy. Notably, no false-negative SLNs were found. Complications related to methylene blue usage included urine discoloration in 30 % of patients.

CONCLUSION

This trial highlights the promising efficacy and safety of methylene blue dye alone for SLN identification in early-stage operable cervical cancer, with a notably higher success rate. Despite limitations like a small sample size, healthcare professionals and researchers can build upon the insights from this study to enhance cervical cancer management.

Prediction of lymph node status in patients with early-stage cervical cancer based on radiomic features of magnetic resonance imaging (MRI) images

BACKGROUND

Lymph node metastasis is an important factor affecting the treatment and prognosis of patients with cervical cancer. However, the comparison of different algorithms and features to predict lymph node metastasis is not well understood. This study aimed to construct a non-invasive model for predicting lymph node metastasis in patients with cervical cancer based on clinical features combined with the radiomic features of magnetic resonance imaging (MRI) images.

METHODS

A total of 180 cervical cancer patients were divided into the training set (n = 126) and testing set (n = 54). In this cross-sectional study, radiomic features of MRI images and clinical features of patients were collected. The least absolute shrinkage and selection operator (LASSO) regression was used to filter the features. Seven machine learning methods, including eXtreme Gradient Boosting (XGBoost), Logistic Regression, Multinomial Naive Bayes (MNB), Support Vector Machine (SVM), Decision Tree, Random Forest, and Gradient Boosting Decision Tree (GBDT) are used to build the models. Receiver operating characteristics (ROC) curve and area under the curve (AUC), accuracy, sensitivity, and specificity were calculated to assess the performance of the models.

RESULTS

Of these 180 patients, 49 (27.22%) patients had lymph node metastases. Five of the 122 radiomic features and 3 clinical features were used to build predictive models. Compared with other models, the MNB model was the most robust, with its AUC, specificity, and accuracy on the testing set of 0.745 (95%CI: 0.740-0.750), 0.900 (95%CI: 0.807-0.993), and 0.778 (95%CI: 0.667-0.889), respectively. Furthermore, the AUCs of the MNB models with clinical features only, radiomic features only, and combined features were 0.698 (95%CI: 0.692-0.704), 0.632 (95%CI: 0.627-0.637), and 0.745 (95%CI: 0.740-0.750), respectively.

CONCLUSION

The MNB model, which combines the radiomic features of MRI images with the clinical features of the patient, can be used as a non-invasive tool for the preoperative assessment of lymph node metastasis.

Intra- and peri-tumoral MRI radiomics features for preoperative lymph node metastasis prediction in early-stage cervical cancer

BACKGROUND

Noninvasive and accurate prediction of lymph node metastasis (LNM) is very important for patients with early-stage cervical cancer (ECC). Our study aimed to investigate the accuracy and sensitivity of radiomics models with features extracted from both intra- and peritumoral regions in magnetic resonance imaging (MRI) with T2 weighted imaging (T2WI) and diffusion weighted imaging (DWI) for predicting LNM.

METHODS

A total of 247 ECC patients with confirmed lymph node status were enrolled retrospectively and randomly divided into training (n = 172) and testing sets (n = 75). Radiomics features were extracted from both intra- and peritumoral regions with different expansion dimensions (3, 5, and 7 mm) in T2WI and DWI. Radiomics signature and combined radiomics models were constructed with selected features. A nomogram was also constructed by combining radiomics model with clinical factors for predicting LNM.

RESULTS

The area under curves (AUCs) of radiomics signature with features from tumors in T2WI and DWI were 0.841 vs. 0.791 and 0.820 vs. 0.771 in the training and testing sets, respectively. Combining radiomics features from tumors in the T2WI, DWI and peritumoral 3 mm expansion in T2WI achieved the best performance with an AUC of 0.868 and 0.846 in the training and testing sets, respectively. A nomogram combining age and maximum tumor diameter (MTD) with radiomics signature achieved a C-index of 0.884 in the prediction of LNM for ECC.

CONCLUSIONS

 Radiomics features extracted from both intra- and peritumoral regions in T2WI and DWI are feasible and promising for the preoperative prediction of LNM for patients with ECC.

Inguinal nodal clinical target volume delineation based on analysis of anatomical locations of normal and metastatic lymph nodes in pelvic malignant tumors

PURPOSE

To optimize inguinal nodal clinical target volume (CTV) delineation based on analysis of the anatomical locations and embryonic development of normal and metastatic inguinal lymph nodes (ILNs) in patients with pelvic malignant tumors, including cervical, vaginal, vulvar, and anal tumors.

MATERIALS AND METHODS

One hundred and eighty-one patients with pelvic malignancies and 415 involved ILNs treated with intensity-modulated radiation therapy were selected. First, the inguinal nodal CTV was divided into three fields as follows: I, horizontal superficial inguinal field; II, vertical superficial inguinal field; and III, deep inguinal field. Initial CTV delineation of each field was based on analysis of the anatomical locations and embryonic development of normal ILNs. Subsequently, the positions of metastatic ILNs relative to the proper anatomical landmarks or vessels were determined to optimally delineate the final ILN CTV contours. Eighty percent of the data acquired (n = 145) were used as test data for optimization and analysis, the remaining 20% (n = 36) were used for delineation validation.

RESULTS

In total, 252 positive ILNs in 103 cervical cancer patients, 94 positive ILNs in 41 vulvar cancer patients, 8 positive ILNs in 3 vaginal cancer patients, and 61 positive ILNs in 34 anal cancer patients were enrolled. Detailed target volume contouring guidelines for the three divisions were determined on images. All positive ILNs from the remaining 20% patients were located in the CTV boundaries delineated based on analysis of 80% of the data acquired. Importantly, the final inguinal nodal CTV field determined using our method was substantially smaller than defined by existing atlases, and the femoral vessels were excluded in the delineation.

CONCLUSIONS

This study provided anatomical, embryonic, surgical, and statistical evidence to facilitate ILN CTV delineation in radiotherapy planning for patients with pelvic malignancies.

Development of a nomogram for predicting pelvic lymph node metastasis in cervical squamous cell carcinoma

OBJECTIVE

To develop and validate a nomogram for predicting pelvic lymph node metastasis (LNM) in cervical squamous cell carcinoma (SCC).

METHODS

This was a retrospective study that included 715 patients with cervical SCC who underwent radical hysterectomy and bilateral pelvic lymphadenectomy between 2009 and 2018. Logistic regression analysis was used to identify independent risk factors for pelvic LNM. Based on these risk factors, a nomogram predicting LNM risk was constructed and internally validated using the bootstrapping resampling method.

RESULTS

The rate of LNM in FIGO (the International Federation of Gynecology & Obstetrics) Stage IA2-IIA2 cervical SCC was 24.2%. In multivariate analysis, FIGO Stage II, moderately differentiated or poorly differentiated histology, abnormally elevated serum SCC-antigen, and triglyceride were identified as independent risk factors for LNM. Tumor size greater than 2 cm and parametrial involvement had borderline significance. Ultimately, the nomogram contained the six variables mentioned above, showing positive calibration and positive discrimination. The area under the receiver operating characteristic curvewas 0.827 and the bootstrap-validated C-index was 0.827. The Youden index of this paper was 0.540.

CONCLUSIONS

We developed and validated a nomogram to predict pelvic LNM in SCC based on clinical data, which can help physicians develop an optimal treatment strategy.

Predictors of intention to receive cervical cancer screening among commercial sex workers in Gondar city, northwest Ethiopia: application of the theory of planned behavior

BACKGROUND

Cervical cancer is a global public health problem & is the fourth leading cause of cancer morbidity and mortality. Abnormal cervical lesion is common in commercial sex workers and is at a higher risk of developing cervical cancer due to multiple sexual partners besides other factors. Intention is an important predictor of behavior and is an initiative to transform their desire into action. Therefore, this study aimed to assess the predictors of intention to receive cervical cancer screening among commercial sex workers in Gondar city, northwest Ethiopia.

METHODS

A community-based cross-sectional study was conducted from March 27 to May 25, 2021, in Gondar city, northwest Ethiopia. A total of 425 commercial sex workers selected using convenience sampling techniques were included in the study. Linear regression with robust standard errors was carried out to identify predictors of intention to receive cervical cancer screening. A 95% confidence interval and a p-value of less than 0.05 were used to declare statistical significance.

RESULTS

A total of 393 commercial sex workers participated in the study with a response rate of 92.4%. The mean age of the participants was 27.68 ± 6.62. The median (interquartile range) of intention was 4 (3-4.25). The theory of planned behaviour variables explained 38.51% of the variance in intention to receive cervical cancer screening. Direct subjective norm (β = 0.09), 95% CI (0.05, 0.13)), direct Attitude (β = 0.09, 95% CI (0.04, 0.13)), past behaviour (β = 0.27; 95% CI (0.09, 0.46), and positive HIV status (β = 0.26; 95% CI (0.06, 0.46) were significant predictors of intention.

CONCLUSIONS

Commercial sex workers' intention to undergo cervical cancer screening was high. The theory of planned behavior showed adequate utility in predicting commercial sex workers' intention to receive cervical cancer screening. Participant's attitudes, subjective norm, past behavior, and positive HIV status were important factors affecting their intention to receive cervical cancer screening. Thus, interventions aimed at enhancing commercial sex workers' cervical cancer screening behavior should target creating positive social pressure and attitudinal change towards cervical cancer screening.

The Oncological Implication of Sentinel Lymph Node in Early Cervical Cancer: A Meta-Analysis of Oncological Outcomes and Type of Recurrences

Background and Objectives: Pelvic lymphadenectomy has been associated with radical hysterectomy for the treatment of early Cervical Cancer (ECC) since 1905. However, some complications are related to this technique, such as lymphedema and nerve damage. In addition, its clinical role is controversial. For this reason, the sentinel lymph node (SLN) has found increasing use in clinical practice over time. Oncologic safety, however, is debated, and there is no clear evidence in the literature regarding this. Therefore, our meta-analysis aims to schematically analyze the current scientific evidence to investigate the non-inferiority of SLN versus PLND regarding oncologic outcomes. Materials and Methods: Following the recommendations in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement, we systematically searched the PubMed and Scopus databases in June 2022 since their early first publications. We made no restrictions on the country. We considered only studies entirely published in English. We included studies containing Disease-Free Survival (DFS), Overall Survival (OS), Recurrence Rate (RR), and site of recurrence data. We used comparative studies for meta-analysis. We registered this meta-analysis to the PROSPERO site for meta-analysis with protocol number CRD42022316650. Results: Twelve studies fulfilled inclusion criteria. The four comparative studies were enrolled in meta-analysis. Patients were analyzed concerning Sentinel Lymph Node Biopsy (SLN) and compared with Bilateral Pelvic Systematic Lymphadenectomy (PLND) in early-stage Cervical Cancer (ECC). Meta-analysis highlighted no differences in oncological safety between these two techniques, both in DFS and OS. Moreover, most of the sites of recurrences in the SLN group seemed not to be correlated with missed lymphadenectomy. Conclusions: Data in the literature do not seem to show clear oncologic inferiority of SLN over PLND. On the contrary, the higher detection rate of positive lymph nodes and the predominance of no lymph node recurrences give hope that this technique may equal PLND in oncologic terms, improving its morbidity profile.

A Nomogram of Combining IVIM-DWI and MRI Radiomics From the Primary Lesion of Rectal Adenocarcinoma to Assess Nonenlarged Lymph Node Metastasis Preoperatively

BACKGROUND

Lymph node (LN) staging plays an important role in treatment decision-making. Current problem is that preoperative detection of LN involvement is always highly challenging for radiologists.

PURPOSE

To explore the value of the nomogram model combining intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) and radiomics features from the primary lesion of rectal adenocarcinoma in assessing the non-enlarged lymph node metastasis (N-LNM) preoperatively.

STUDY TYPE

Retrospective.

POPULATION

A total of 126 patients (43% female) comprising a training group (n = 87) and a validation group (n = 39) with pathologically confirmed rectal adenocarcinoma.

FIELD STRENGTH/SEQUENCE

A 3.0 Tesla (T); T₂ -weighted imaging (T₂ WI) with fast spin-echo (FSE) sequence; IVIM-DWI spin-echo echo-planar imaging sequence.

ASSESSMENT

Based on pathological analysis of the surgical specimen, patients were classified into negative LN (LN-) and positive LN (LN+) groups. Apparent diffusion coefficient (ADC), diffusion coefficient (D), pseudo diffusion coefficient (D*) and microvascular volume fraction (f) values of primary lesion of rectal adenocarcinoma were measured. Three-dimensional (3D) radiomics features were measured on T₂ WI and IVIM-DWI. A nomogram model including IVIM-DWI and radiomics features was developed.

STATISTICAL TESTS

General_univariate_analysis and multivariate logistic regression were used for radiomics features selection. The performance of the nomogram was assessed by the receiver operating characteristic (ROC) curve, calibration, and decision curve analysis (DCA).

RESULTS

The LN+ group had a significantly lower D* value ([13.20 ± 13.66 vs. 23.25 ± 18.71] × 10^-3  mm² /sec) and a higher f value (0.43 ± 0.12 vs. 0.34 ± 0.10) than the LN- group in the training cohort. The nomogram model combined D*, f, and radiomics features had a better evaluated performance (AUC = 0.864) than any other model in the training cohort.

DATE CONCLUSION

The nomogram model including IVIM-DWI and MRI radiomics features in the primary lesion of rectal adenocarcinoma was associated with the N-LNM.

EVIDENCE LEVEL

4 TECHNICAL EFFICACY: Stage 2.

Prognostic Value of Lymph Node Characteristics in Patients with Cervical Cancer Treated with Radical Hysterectomy

Objective

This study evaluated the prognostic value of various lymph node (LN) characteristics, including the lymph node ratio (LNR), in patients with cervical cancer treated with radical hysterectomy.

Methods

In this retrospective study, 260 patients with cervical cancer who had undergone radical hysterectomy with pelvic or paraaortic lymphadenectomies were included. LN characteristics related to several LN statuses included total LN counts, LN metastasis, total positive LN counts, LNR, and levels of lymphadenectomy. LNR was defined as the number of metastatic LNs divided by the total number of LNs harvested. Univariate and multivariate analyses for disease-free survival (DFS) and overall survival (OS) were performed using the clinicopathological and LN characteristics.

Results

Based on receiver-operating characteristics curve analysis, the cut-off value of LNR was 0.0625. Multivariate analysis revealed that high LNR was significantly related to tumor recurrence (hazard ratio [HR], 5.182; 95% confidence interval [CI], 2.424–11.075; p < 0.0001). After adjusting for clinicopathological factors, LNR was also independent prognostic factor for predicting tumor recurrence (HR, 5.930; 95% CI, 2.114–16.634; p = 0.0007). However, total retrieved LN counts and level of lymphadenectomy were not associated with survival outcomes.

Conclusion

LNR may be a prognostic biomarker for predicting disease recurrence in cervical cancer treated with radical hysterectomy.

The relationship between lymphedema severity and awareness of lymphedema surgery

BACKGROUND

During the early stages of lymphedema, active physiologic surgical treatment can be applied. However, lymphedema patients often have limited knowledge and misconceptions regarding lymphedema and surgical treatment. We analyzed the correlations between lymphedema severity and surgical technique according to patients' awareness of surgical treatment for secondary upper extremity lymphedema (UEL).

METHODS

Patients with UEL diagnosed between December 2017 and December 2019 were retrospectively evaluated. At the time of their presentation to our hospital for the treatment of lymphedema, they were administered a questionnaire about lymphedema and lymphedema surgery. Based on the results, patients were classified as being aware or unaware of surgical treatment. Lymphedema severity was classified according to the arm dermal backflow (ADB) stage and the MD Anderson Cancer Center (MDACC) stage based on indocyanine green lymphography conducted at presentation. Surgical techniques were compared between the two groups.

RESULTS

Patients who were aware of surgical treatment had significantly lower initial ADB and MDACC stages (P<0.05) and more frequently underwent physiologic procedures than excisional procedures (P=0.003).

CONCLUSIONS

If patients are actively educated regarding surgical treatment of lymphedema, physiologic procedures may be performed during the early stages of UEL.

Sentinel lymph node mapping in early-stage cervical cancer: Meta-analysis

BACKGROUND

The value of sentinel lymph node (SLN) mapping for early-stage cervical cancer remains controversial. Therefore, we collected data to investigate the feasibility and diagnostic accuracy of SLN in patients with early-stage (IA-IIA) cervical cancer.

METHODS

We searched Embase, PubMed, and the Cochrane Library databases issued before June 1, 2020. The sample size of the selected study was at least 10 patients with early-stage (IA-IIA) cervical cancer, the pooled detection rates and the separate detection rate (overall detection rate, bilateral detection rate) using blue dye with Tc, technetium 99 (Tc) and indocyanine green (ICG) technique of early-stage cervical cancer was reported. R-3.6.1 software was used to evaluate pooled detection rate and sensitivity.

RESULTS

Two thousand one hundred sixty-four patients included for analysis in 28 studies ranging from 12 to 405 patients. The combined overall detection rate of SLN mapping was 95% with a 72% pooled bilateral detection rate. The sensitivity of the combined overall detection rate of SLN mapping was 94.99% as well as a sensitivity of 72.43% bilateral detection rate. The overall detection rate of SLN was 96% for blue dye with Tc, 95% for Tc, 98% for ICG technique. The bilateral detection rate of SLN was 76% for blue dye with Tc, 63% for Tc, 85% for ICG technique. The sensitivity of the overall detection rate of SLN mapping was 97.76% as well as a sensitivity of 84.96% bilateral detection rate of ICG technique.

CONCLUSION

In early-stage cervical cancer, overall detection rate of SLN mapping is elevated while bilateral detection rate is lower. The overall detection rate (98%) as well as bilateral rate (85%) of ICG seems to be a better SLN mapping technique among the method of SLN mapping (using blue dye with Tc, Tc or ICG). We believe SLN mapping may be considered contemporary technique which could provide additional benefits over traditional pelvic lymphadenectomy. While promising results in SLN mapping has been found, larger patient samples, including randomized studies, are required at the same time.

Radiomics in cervical and endometrial cancer

Radiomics is an emerging field of research that aims to find associations between quantitative information extracted from imaging examinations and clinical data to support the best clinical decision. In the last few years, some papers have been evaluating the role of radiomics in gynecological malignancies, mainly focusing on ovarian cancer. Nonetheless, cervical cancer is the most frequent gynecological malignancy in developing countries and endometrial cancer is the most common in western countries. The purpose of this narrative review is to give an overview of the latest published papers evaluating the role of radiomics in cervical and endometrial cancer, mostly evaluating association with tumor prognostic factors, with response to therapy and with prediction of recurrence and distant metastasis.

Usefulness of computed tomography venography in gynecologic cancer patients with lower extremity edema

Lower extremity (LEx) edema is a common complication in gynecologic cancer patients. There are 2 main causes of edema in these patients such as deep vein thrombosis (DVT) and lymphedema. Early diagnosis and treatment of DVT are certainly important, but it is often difficult to evaluate proximal DVT by using ultrasound. The aim of this study is to demonstrate the usefulness of computed tomography venography of the lower extremity (CTV LEx) for the diagnosis of the DVT and investigate predictive factor of DVT in gynecologic cancer patients with LEx edema.The medical records of 415 gynecologic cancer patients who were referred to the department of rehabilitation medicine with LEx edema were retrospectively reviewed in this case-controlled study. We categorized CTV LEx findings as follows: DVT proximal to the inguinal ligament (inferior vena cava or iliac vein thrombosis) and DVT distal to the inguinal ligament (femoral, popliteal, or calf vein thrombosis). We also evaluated patient characteristics including D-dimer level. We analyzed the correlation of each factor with DVT frequency and used receiver operating characteristic curve analysis to determine the appropriate D-dimer threshold.Sixty-six patients were diagnosed with DVT; of them, 35 (53%) had DVT proximal to the inguinal ligament. Twenty-two patients were diagnosed with pulmonary embolism, of whom 15 had proximal DVT. Patients with proximal DVT tended to have pulmonary embolism (P < .001). Distal organ metastasis (odds ratio [OR], 2.88; P = .002) and a high D-dimer level (OR, 1.13; P = .001) were correlated with DVT.CTV LEx is a useful diagnostic tool for gynecologic cancer patients with LEx edema, particularly high-risk patients, that should be performed at the initial evaluation.

Diagnostic value of sentinel lymph node scintigraphy and 2-[18F]-fluoro-2-deoxy-D-glucose positron emission tomography/computed tomography in the detection of metastatic lymph nodes in patients with early-stage cervical cancer

Cervical cancer is staged clinically using the International Federation of Gynaecology and Obstetrics staging system. Although lymph node status does not form part of the staging, it has important prognostic and potential therapeutic implications. The aim of the study was to evaluate the role of sentinel lymph node (SLN) scintigraphy and 2-[¹⁸F]-fluoro-2-deoxy-D-glucose positron emission tomography/computed tomography (¹⁸F-FDG PET/CT) in detecting lymph node metastases in patients with early-stage cervical cancer. Thirty-six patients with early-stage cervical cancer underwent SLN detection during primary operation. Of the 36 patients, 28 patients underwent ¹⁸F-FDG PET/CT before surgery. The ¹⁸F-FDG PET/CT images were analyzed with the histopathological findings as the reference standard. The diagnostic performance of ¹⁸F-FDG PET/CT in the detection of nodal disease was reported in terms of accuracy value. The SLN detection rate was the highest (91.7%) using the combined method (lymphoscintigraphy, intraoperative gamma probe, and blue dye). Seven of the thirty-six patients had lymph node involvement (19.4%), of which five had preoperative ¹⁸F-FDG PET/CT imaging. On overall patient-based analysis, the sensitivity, specificity, positive predictive value, negative predictive value (NPV), and accuracy of ¹⁸F-FDG PET/CT were 40.0%, 78.3%, 28.6%, 85.7%, and 71.4%, respectively. The combination of radiolabeled nanocolloid with blue dye is safe and reliable and allows successful detection of SLNs in patients with early-stage cervical cancer in a population with high prevalence of human immunodeficiency virus. The specificity and NPV of ¹⁸F-FDG PET/CT are high and can be used in conjunction with SLN biopsy.

Detection of sentinel lymph node in laparoscopic surgery for uterine cervical cancer using carbon nanoparticles

BACKGROUND AND OBJECTIVES

Carbon nanoparticles (CNPs) has been widely confirmed the efficiency in sentinel lymph node (SLN) mapping for various solid tumors. This study aims to explore the feasibility and effectiveness of CNPs during laparoscopic surgery for cervical cancer.

METHODS

We analyzed 45 women with stage IB1-IIA1 cervical cancer who underwent SLN mapping using CNPs during laparoscopic surgery. The effectiveness of CNPs was evaluated by the detection rate and accuracy parameters. Factors associated with SLN laterality and SLNs localizations were analyzed.

RESULTS

The overall and bilateral detection rate was 93.3% (42/45) and 60.0% (27/45), respectively. Elevated body mass index was associated with decreased bilateral detection rate (P = .015). A total of 225 SLNs were harvested, with a mean number of 5.0 ± 3.6. A total of 81.3% of SLNs were in expected localizations including external iliac (39.1%), internal iliac (25.8%), and obturator (16.4%) regions, while 18.7% in unusual localizations including common iliac (10.7%), parametrial (7.6%), and presarcal (0.4%) regions. None positive lymph node was found in non-SLNs with a false-negative rate of 0%.

CONCLUSION

Laparoscopic SLN mapping with CNPs appears to be simple and efficient for patients with early-stage cervical cancer.

Development of a Deep Learning Model to Identify Lymph Node Metastasis on Magnetic Resonance Imaging in Patients With Cervical Cancer

IMPORTANCE

Accurate identification of lymph node metastasis preoperatively and noninvasively in patients with cervical cancer can avoid unnecessary surgical intervention and benefit treatment planning.

OBJECTIVE

To develop a deep learning model using preoperative magnetic resonance imaging for prediction of lymph node metastasis in cervical cancer.

DESIGN, SETTING, AND PARTICIPANTS

This diagnostic study developed an end-to-end deep learning model to identify lymph node metastasis in cervical cancer using magnetic resonance imaging (MRI). A total of 894 patients with stage IB to IIB cervical cancer who underwent radical hysterectomy and pelvic lymphadenectomy were reviewed. All patients underwent radical hysterectomy and pelvic lymphadenectomy, received pelvic MRI within 2 weeks before the operations, had no concurrent cancers, and received no preoperative treatment. To achieve the optimal model, the diagnostic value of 3 MRI sequences was compared, and the outcomes in the intratumoral and peritumoral regions were explored. To mine tumor information from both image and clinicopathologic levels, a hybrid model was built and its prognostic value was assessed by Kaplan-Meier analysis. The deep learning model and hybrid model were developed on a primary cohort consisting of 338 patients (218 patients from Sun Yat-sen University Cancer Center, Guangzhou, China, between January 2011 and December 2017 and 120 patients from Henan Provincial People's Hospital, Zhengzhou, China, between December 2016 and June 2018). The models then were evaluated on an independent validation cohort consisting of 141 patients from Yunnan Cancer Hospital, Kunming, China, between January 2011 and December 2017.

MAIN OUTCOMES AND MEASURES

The primary diagnostic outcome was lymph node metastasis status, with the pathologic characteristics diagnosed by lymphadenectomy. The secondary primary clinical outcome was survival. The primary diagnostic outcome was assessed by receiver operating characteristic (area under the curve [AUC]) analysis; the primary clinical outcome was assessed by Kaplan-Meier survival analysis.

RESULTS

A total of 479 patients (mean [SD] age, 49.1 [9.7] years) fulfilled the eligibility criteria and were enrolled in the primary (n = 338) and validation (n = 141) cohorts. A total of 71 patients (21.0%) in the primary cohort and 32 patients (22.7%) in the validation cohort had lymph node metastais confirmed by lymphadenectomy. Among the 3 image sequences, the deep learning model that used both intratumoral and peritumoral regions on contrast-enhanced T1-weighted imaging showed the best performance (AUC, 0.844; 95% CI, 0.780-0.907). These results were further improved in a hybrid model that combined tumor image information mined by deep learning model and MRI-reported lymph node status (AUC, 0.933; 95% CI, 0.887-0.979). Moreover, the hybrid model was significantly associated with disease-free survival from cervical cancer (hazard ratio, 4.59; 95% CI, 2.04-10.31; P < .001).

CONCLUSIONS AND RELEVANCE

The findings of this study suggest that deep learning can be used as a preoperative noninvasive tool to diagnose lymph node metastasis in cervical cancer.

Does the Sentinel Lymph Node Sampling Alone Improve Quality of Life in Early Cervical Cancer Management?

Objective: In this subanalysis of the prospective randomized multicenter SENTICOL 2 study, we compared the quality of life (QoL), in two arms, in association with lower-limb consequences in women with early stage cervical cancer undergoing randomized sentinel lymph node (SLN) sampling alone or SLN sampling and full pelvic lymphadenectomy. Methods: 206 patients with an early stage cervical cancer and a negative SLN, were randomized. Every patient had a SLN detection based on a combination of radio-isotope (Nanocis®) and blue dye (Bleu Patenté®) injections. One hundred and One patients, the "standard" group, had complete pelvic lymphadenectomy, 105 patients, the "SLN alone" group, had SLN biopsy without lymphadenectomy. At each visit (V0: preoperative, V1: 1 month, V2: 3 months and V3: 6 months following surgery) the patients completed a Short Form Health Survey (SF36) questionnaire and another questionnaire related to leg lymphedema. SF36 scores variations (compared to the baseline values) were assessed with a standard analysis and by an evaluation of the area under the curve (AUC). Several lower-limb circumferences and signs were also determined. Results: General characteristics of the patients were well-balanced between groups. Physical function and general health dimensions of the SF36 scale were significantly improved at V1 and V2 in the "SLN alone" group. Mental health was also statistically better in the "SLN alone" group at V2. Other dimensions were similar. The two groups had similar evaluation at V3. AUC of SF36 sub-scores was also in favor of the "SLN alone" arm, but the difference was not statistically significant. The analysis about the lymphedema of the legs showed a reduced (but not significant) risk in the "SLN alone" group for the top-of-thigh and the mid-thigh perimeters. Lymphedema symptoms reported by the patients were significantly less severe in the "SLN alone" group. Conclusion: Our study demonstrates a trend for a better quality of life and less severe leg heaviness and leg fatigue when a full pelvic lymphadenectomy is avoided.

Noninvasive prediction of lymph node status for patients with early-stage cervical cancer based on radiomics features from ultrasound images

OBJECTIVE

To investigate the feasibility of a noninvasive detection of lymph node metastasis (LNM) for early-stage cervical cancer (ECC) patients with radiomics methods based on the textural features from ultrasound images.

METHODS

One hundred seventy-two ECC patients between January 2014 and September 2018 with pathologically confirmed lymph node status (LNS) and preoperative ultrasound images were retrospectively reviewed. Regions of interest (ROIs) were delineated by a senior radiologist in the ultrasound images. LIFEx was applied to extract textural features for radiomics study. Least absolute shrinkage and selection operator (LASSO) regression was applied for dimension reduction and for selection of key features. A multivariable logistic regression analysis was adopted to build the radiomics signature. The Mann-Whitney U test was applied to investigate the correlation between radiomics and LNS for both training and validation cohorts. Receiver operating characteristic (ROC) curves were applied to evaluate the accuracy of the radiomics prediction models.

RESULTS

A total of 152 radiomics features were extracted from ultrasound images, in which 6 features were significantly associated with LNS (p < 0.05). The radiomics signatures demonstrated a good discrimination between patients with LNM and non-LNM groups. The best radiomics performance model achieved an area under the curve (AUC) of 0.79 (95% confidence interval (CI), 0.71-0.88) in the training cohort and 0.77 (95% CI, 0.65-0.88) in the validation cohort.

CONCLUSIONS

The feasibility of radiomics features from ultrasound images for the prediction of LNM in ECC was investigated. This noninvasive prediction method may be used to facilitate preoperative identification of LNS in patients with ECC.

KEY POINTS

• Few studied had investigated the feasibility of radiomics based on ultrasound images for cervical cancer, even though it is the most common practice for gynecological cancer diagnosis and treatment. • The radiomics signatures based on ultrasound images demonstrated a good discrimination between patients with and without lymph node metastasis with an area under the curve (AUC) of 0.79 and 0.77 in the training and validation cohorts, respectively. • The radiomics model based on preoperative ultrasound images has the potential ability to predict lymph node status noninvasively in patients with early-state cervical cancer, so as to reduce the impact of invasive examination and to optimize the treatment choices.

Value of integrated PET-IVIM MR in assessing metastases in hypermetabolic pelvic lymph nodes in cervical cancer: a multi-parameter study

PURPOSE

To evaluate the value of integrated multi-parameter positron emission tomography-intravoxel incoherent motion magnetic resonance (PET-IVIM MR) imaging for pelvic lymph nodes with high FDG uptake in cervical cancer, and to determine the best combination of parameters.

METHODS

A total of 38 patients with 59 lymph nodes with high FDG uptake were included. The imaging parameters of the lymph nodes were calculated by PET-IVIM MR, and the differences between lymph nodes diagnosed by postoperative pathology as metastasis versus non-metastasis were compared. We used the receiver operating characteristic (ROC) curve and logistic regression to construct a combination prediction model to filter low value and similar parameters, in order to search the optimal combination of PET/MR parameters for predicting pathologically confirmed metastatic lymph nodes. The correlation between diffusion parameters and metabolic parameters was analyzed by Spearman's rank correlation.

RESULTS

The maximum standardized uptake value (SUV_max), mean standardized uptake value (SUV_mean), total metabolic tumor volume (MTV), total lesion glycolysis (TLG), apparent diffusion coefficient (ADC), diffusion-related coefficient (D), and perfusion-related parameter (F) showed significant differences between the metastatic and non-metastatic groups (p < 0.05). The combination of MTV, SUV_max, and D had the strongest predictive value (area under the ROC 0.983, p < 0.05). SUV_max, SUV_mean, and TLG weakly correlated with F (R = - 0.306, - 0.290, and - 0.310; p < 0.05).

CONCLUSIONS

The combination of MTV, SUV_max, and D may have a better diagnostic performance than PET- or IVIM-derived parameters either in combination or individually. No strong correlation exists between diffusion parameters and metabolic parameters.

KEY POINTS

• Integrated PET-IVIM MR may assist to characterize lymph node status. • The combination of MTV, SUV_max, and D may have a better diagnostic performance than PET- or IVIM-derived parameters either in combination or individually for the assessment of pelvic lymph nodes with high FDG uptake. • No strong correlation exists between diffusion parameters and metabolic parameters in pelvic lymph nodes with high FDG uptake.

Combinative evaluation of primary tumor and lymph nodes in predicting pelvic lymphatic metastasis in early-stage cervical cancer: A multiparametric PET-CT study

PURPOSE

The purpose of this study is to investigate the value of combining tumor and pelvic lymph node (PLN) characteristics on PET-CT in predicting PLN metastasis of patients with early-stage cervical cancer, specifically to further reduce the false-negative cases of diagnosis.

METHODS

The [18F] FDG PET-CT imaging data of 394 patients who were newly diagnosed with cervical cancer (FIGO stage, Ia-IIa) were retrospectively studied. We measured size, total lesion glycolysis (TLG) of tumor, metabolic tumor volume (MTV), maximum and mean standardized uptake value (SUVmax, SUVmean) of tumor and lymph node (LN). Diagnostic efficiency was evaluated using receiver operator characteristic (ROC) curve. We also investigated additional CT diagnosis information in PET-negative cases.

RESULTS

Our results indicated both lymph node and tumor parameters were independent risk factors for lymphatic metastasis in early-stage cervical cancer. The diagnosis based on above meaningful parameters, we name it 'combination diagnosis', offered significantly higher predictive value than that based on SUV measurement alone, which the values of AUC were 0.842 and 0.784 respectively (P < 0.05). In PET-negative cases, we also found that tumor TLG, suspicious LN in lymphatic drainage pathway, long/short axis of LN ≤ 2, heterogeneity of LN significantly associated with PLN metastasis. ROC analysis showed combination diagnosis of all these parameters above produced an AUC value of 0.859 (P < 0.05, 95% CI, 0.811-0.899), which was significantly higher than either using tumor TLG alone (AUC = 0.622, Z = 3.919, P < 0.05) or indices derived from CT alone (AUC = 0.727, 0.668, 0.695. Z = 3.620, 5.356, 3.696, P < 0.05).

CONCLUSIONS

We proposed a combination diagnosis method that can better predict PLN metastasis for patients with early-stage cervical cancer. In PET-negative cases, combination diagnosis of TLG of tumor and CT indicators also produced improved prediction by reducing false-negative cases of diagnosis. This combination diagnosis approach has significant implications in cervical cancer patient management and treatment planning.

Sentinel lymphatic mapping among women with early-stage cervical cancer: A systematic review

The presence of pelvic lymph node metastases is without doubt the most significant prognostic factor that determines recurrences and survival of women with early-stage cervical cancer. To avoid the underdiagnosis of lymph node metastasis, pelvic lymphadenectomy procedure is routinely performed with radical hysterectomy procedure. However, the pelvic lymphadenectomy procedure may not be necessary in most of these women due to the relatively low incidence of pelvic lymph node metastasis. The removal of large numbers of pelvic lymph nodes could also render non-metastatic irreversible damages for these women, including vessel, nerve, or ureteral injuries; formation of lymphocysts; and lymphedema. Over the past decades, the concept of sentinel lymph node biopsy has emerged as a popular and widespread surgical technique for the evaluation of the pelvic lymph node status in gynecologic malignancies. The histological status of sentinel lymph node should be representative for all other lymph nodes in the regional drainage area. If metastasis is non-existent in the sentinel lymph node, the likelihood of metastatic spread in the remaining regional lymph nodes is very low. Further lymphadenectomy is therefore not necessary for a patient with negative sentinel lymph nodes. Since the uterine cervix has several lymphatic drainage pathways, it is a challenging task to assess the distribution pattern of sentinel lymph nodes in women with early-stage cervical cancer. This review article will adapt the methodology proposed in these studies to systematically review sentinel lymphatic mapping among women with early-stage cervical cancer.

Understanding Patient Expectations of Lymphedema Surgery

BACKGROUND

Patients with lymphedema refractory to medical treatment often have unrealistic expectations for lymphedema surgery. The purpose of this study was to assess patient expectations following lymphedema surgery.

METHODS

Patients presenting to the clinic for initial evaluation for lymphedema surgery were offered to complete a survey designed to evaluate their expectations for limb appearance, limb function, and overall well-being following lymphedema surgery. The patients were instructed to score each item using a five-point scale for improvement. A mean expectation score was calculated, which was then used to estimate the effects of preoperative variables on patients expectations using multiple regression analysis.

RESULTS

A total of 21 women and two men with a mean age of 60 years completed the survey. The upper limbs were affected in 10 patients and the lower limbs were affected in 13 patients. Physicians were the initial source of information about lymphedema surgery as a potential treatment option in 10 patients (43 percent), and a majority of the patients [n = 15 (65.2 percent)] thought that the physicians had fair or poor knowledge about lymphedema surgery. Significant or complete improvement was expected by 43.4 to 73.9 percent of patients. Patients' level of education, the disease duration, and the initial source of information about lymphedema surgery had a statistically significant impact on patients' expectations.

CONCLUSIONS

Early data suggest that most patients learn about lymphedema surgery from nonphysicians, with many expecting complete or significant improvement of lymphedema-associated symptoms with surgery. These findings emphasize the importance of addressing patient expectations and providing appropriate counseling before surgery.

Radiomic signature as a predictive factor for lymph node metastasis in early-stage cervical cancer

BACKGROUND

Lymph node metastasis (LNM) is the principal risk factor for poor outcomes in early-stage cervical cancer. Radiomics may offer a noninvasive way for predicting the stage of LNM.

PURPOSE

To evaluate a radiomic signature of LN involvement based on sagittal T₁ contrast-enhanced (CE) and T₂ MRI sequences.

STUDY TYPE

Retrospective.

POPULATION

In all, 143 patients were randomly divided into two primary and validation cohorts with 100 patients in the primary cohort and 43 patients in the validation cohort.

FIELD STRENGTH/SEQUENCE

T₁ CE and T₂ MRI sequences at 3T.

ASSESSMENT

The gold standard of LN status was based on histologic results. A radiologist with 10 years of experience used the ITK-SNAP software for 3D manual segmentation. A senior radiologist with 15 years of experience validated all segmentations. The area under the receiver operating characteristics curve (ROC AUC), classification accuracy, sensitivity, and specificity were used between LNM and non-LNM groups.

STATISTICAL TESTS

A total of 970 radiomic features and seven clinical characteristics were extracted. Minimum redundancy / maximum relevance and support vector machine algorithms were applied to select features and construct a radiomic signature. The Mann-Whitney U-test and the chi-square test were used to test the performance of clinical characteristics and potential prognostic outcomes. The results were used to assess the quantitative discrimination performance of the SVM-based radiomic signature.

RESULTS

The radiomic signatures allowed good discrimination between LNM and non-LNM groups. The ROC AUC was 0.753 (95% confidence interval [CI], 0.656-0.850) in the primary cohort and 0.754 (95% CI, 0584-0.924) in the validation cohort.

DATA CONCLUSIONS

A multiple-sequence MRI radiomic signature can be used as a noninvasive biomarker for preoperative assessment of LN status and potentially influence the therapeutic decision-making in early-stage cervical cancer patients.

LEVEL OF EVIDENCE

3 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;49:304-310.

Incidence of Lymph Node Metastases in Women With Low-Risk Early Cervical Cancer (<2 cm) Without Lymph-Vascular Invasion

Objective

To determine the incidence of lymph node metastasis in women with low-risk cervical cancer stage IA2 or IB1 (<2 cm) without lymph-vascular space invasion.

Methods

A multicenter retrospective study was performed in patients who underwent radical or simple hysterectomy, conization, or trachelectomy plus pelvic lymphadenectomy for cervical cancer between January 2000 and June 2016.

Results

A total of 271 patients were included in the study. Median age and body mass index were 46 years (range, 23–77 years) and 24 kg/m2 (range, 18–48 kg/m2), respectively. Twenty-two patients had stage IA2 (8.1%), and 249 (91.9%) had stage IB1. The median tumor size was 14 mm (range, 5–20 mm). Tumor grades were 1 (n = 63 [23.2%]), 2 (n = 120 [44.3%]), 3 (n = 63 [23.2%]), and unknown (25 [9.2%]). Median depth stromal invasion was 6 mm (range, 3–20 mm). Histologic subtypes included squamous (n = 171 [63.1%]), adenocarcinoma (n = 92 [33.9%]), and adenosquamous (n = 8 [3.0%]). Overall incidence of lymph node metastasis was 2.9% (n = 8). The incidence of lymph node involvement in G1, G2, and G3 was 0% (0/63), 5% (6/120), and 3.1% (2/63), respectively. No patient with stage IA2 (regardless of grade or histology) or G1 cervical cancer less than 2 cm (stage IB1) had lymph node metastasis.

Conclusions

Patients with stage IA2 or IB1 (G1) with tumor size of less than 2 cm and no lymph-vascular space invasion may not need lymph node evaluation. On the other hand, 95% and 98% of patients with grade 2 or 3 tumors, respectively, could potentially undergo an unnecessary lymphadenectomy. Further studies with bigger sample size are required to confirm these results.

Sentinel lymph node in cervical cancer

Background: Cervical cancer is the second most common type of cancer among women. Effective screening programs can help cancer detection in early phases and reduce death. Metastasis to lymph nodes is one of the most prognostic factors in patients who underwent surgery. Also, a positive result from pathology report alert oncologist as a cause of death. Sentinel lymph node biopsy has been widely studied and clinically used for many types of cancer.

Methods: Two techniques exist for detecting sentinel node in cervical cancer, which are Blue dye and gamma probe with radioactive isotope (99mTc). Moreover, lymphoscintigraphy has many advantages over the stain method. Detecting the sentinel node is performed via laparoscopy or laparotomy; former method is better and more accurate.

Results: Various researchers have focused on this method and its positive results; its superiority against full lymphadenectomy has been declared in previous studies. Moreover, the role of sentinel lymph nodes biopsy in cervical cancer is still being extensively studied. Sentinel lymph nodes (SLN) method has a higher accuracy level to detect metastasis.

Conclusion: Hence, it can be considered as a more appropriate alternative for pelvic lymph node dissection (PLND), which is a standard technique. Altering the method to a standard clinical method needs in-depth researches and studies.

Can We Define the Risk of Lymph Node Metastasis in Early-Stage Cervical Cancer Patients? A Large-Scale, Retrospective Study

BACKGROUND

Sentinel lymph node (SLN) biopsy has emerged as one of the most appreciated techniques for reducing the rate of complete lymph node dissection (LND) performed in patients with early-stage cervical cancer (ECC). However, its performances are still a matter of debate and, to improve them, international guidelines recommend performing at least unilateral LND in case of SLN mapping. In a prior study, we identified a group of patients without evidence of lymph node metastasis (LNM). Our objective is to define a precise risk of LNM for each ECC patient in order to significantly tailor surgery for ECC.

METHODS

Clinical and pathological data of ECC patients were retrospectively collected by eight Italian institutions. Chi-square test or Fisher's exact test along with logistic regression analysis was used to determine the association of each variable between patients with or without LNM. Results of logistic regression have been used as a basis to calculate the probability to harboring LNM.

RESULTS

A total of 463 ECC patients were identified. No LNM was detected among the 161 (34.8%) patients who met the criteria and were defined as Very Low Risk. In the other 302 patients, the precise risk of LNM was calculated, and it was <1% in 31 (10.3%) patients.

CONCLUSIONS

Defining the precise risk of LNM could lead to proper selection of patients in whom any lymph nodal procedure, including SLN, could be avoided.

GINS2 is a novel prognostic biomarker and promotes tumor progression in early-stage cervical cancer

GINS complex subunit 2 (GINS2), a member of the GINS complex, is involved in DNA replication. GINS2 is upregulated in a variety of aggressive tumors. However, its role in cervical cancer carcinogenesis remains to be elucidated. We investigated the clinical significance of GINS2 in patients with early-stage cervical cancer and its biological functions in cervical cancer progression. GINS2 expression was analyzed in cervical cancer cell lines and in 8 matched cervical cancer samples at the mRNA and protein levels using real-time PCR and western blotting, respectively. GINS2 protein expression in 155 paraffin-embedded cervical cancer specimens was validated using immunohistochemistry. Statistical analysis was used to evaluate its clinicopathological significance. Short hairpin RNA interference, anchorage-independent growth ability, colony formation assay, wound healing ability, Transwell assays and western blotting were used to determine the effects of GINS2 on the aggressive phenotype of cervical cancer cells. There was obvious upregulation of GINS2 in the cervical cancer cell lines and tumor specimens compared to that in the normal cervical tissues. Significant correlations were identified between GINS2 expression and squamous cell carcinoma antigen (SCC-Ag; P<0.001), deep stromal invasion (P=0.021), vital status (P<0.001), recurrence (P<0.001) and pelvic lymph node metastasis (PLNM; P<0.001). Moreover, patients with higher GINS2 expression had shorter overall survival (OS) compared to patients with low GINS2 expression. Multivariate analysis revealed that GINS2 may serve as an independent risk factor of poor prognosis in early-stage cervical cancer. In addition, GINS2 downregulation markedly suppressed cell proliferation and tumorigenic ability, as well as cell migration and invasion. Our findings suggest that GINS2 is a novel indicator of PLNM and a valuable prognostic biomarker in early-stage cervical cancer, and subsequently is a valuable molecular target for cervical cancer diagnosis and treatment.

Preoperative prediction of suboptimal resection in advanced ovarian cancer based on clinical and CT parameters

Background Cytoreduction is important as a survival predictor in advanced ovarian cancer. Purpose To determine the prediction of suboptimal resection (SOR) in advanced ovarian cancer based on clinical and computed tomography (CT) parameters. Material and Methods Between 2007 and 2015, 327 consecutive patients with FIGO stage III-IV ovarian cancer and preoperative CT were included. During 2007-2012, patients were assigned to a derivation dataset ( n = 220) and the others were assigned to a validation dataset ( n = 107). Clinical parameters were reviewed and two radiologists assessed the presence or absence of tabulated parameters on CT images. Logistic regression analyses based on area under the receiver-operating characteristic curve (AUROC) were performed to identify variables predicting SOR, and generated simple score using Cox proportional hazards model. Results There was no statistical difference in patients' characteristics in both datasets, except for residual disease ( P = 0.001). Optimal resection improved from 45.0% (99/220) in the derivation dataset to 64.4% (69/107) in the validation dataset. Logistic regression identified that Eastern Cooperative Oncology Group-performance status (ECOG-PS 2), involvements of peritoneum, diaphragm, bowel mesentery and suprarenal lymph nodes, and pleural effusion were independent variables of SOR. Overall AUROC for score predicting SOR was 0.761 with sensitivity, specificity, and positive and negative predictive values of 70.6%, 73.2%, 68.7%, and 91.9%, respectively. In the derivation dataset, AUROC was 0.792, with sensitivity of 71.4% and specificity of 74.3%, and AUROC of 0.758 with sensitivity of 69.2% and specificity of 72.8% in the validation dataset. Conclusion CT may be a useful preoperative predictor of SOR in advanced ovarian cancer.

Practice patterns of adjuvant therapy for intermediate/high recurrence risk cervical cancer patients in Japan

Objective

Although radiation therapy (RT) and concurrent chemoradiotherapy (CCRT) are the global standards for adjuvant therapy treatment in cervical cancer, many Japanese institutions choose chemotherapy (CT) because of the low frequency of irreversible adverse events. In this study, we aimed to clarify the trends of adjuvant therapy for intermediate/high-risk cervical cancer after radical surgery in Japan.

Methods

A questionnaire survey was conducted by the Japanese Gynecologic Oncology Group to 186 authorized institutions active in the treatment of gynecologic cancer.

Results

Responses were obtained from 129 facilities. Adjuvant RT/CCRT and intensity-modulated RT were performed in 98 (76%) and 23 (18%) institutions, respectively. On the other hand, CT was chosen as an alternative in 93 institutions (72%). The most common regimen of CT, which was used in 66 institutions (51%), was a combination of cisplatin/carboplatin with paclitaxel. CT was considered an appropriate alternative option to RT/CCRT in patients with risk factors such as bulky tumors, lymph node metastasis, lymphovascular invasion, parametrial invasion, and stromal invasion. The risk of severe adverse events was considered to be lower for CT than for RT/CCRT in 109 institutions (84%).

Conclusion

This survey revealed a variety of policies regarding adjuvant therapy among institutions. A clinical study to assess the efficacy or non-inferiority of adjuvant CT is warranted.

Location of Sentinel Lymph Node in Cervical Carcinoma and Factors Associated With Unilateral Detection

OBJECTIVE

The aims of this study were to assess locality of the sentinel lymph node (SLN) in cervical carcinoma and examine factors affecting bilateral SLN detection.

METHODS

This was a retrospective review of SLN data (anatomical location, count and laterality) in patients with early-stage cervical cancer (International Federation of Gynecology and Obstetrics stage IA1 with lymphovascular space invasion to stage IIA) using intraoperative gamma probe and blue dye. The preoperative single-photon emission computed tomography with computed tomography was used to detect laterality, number of the SLNs, and rare locations. Patients were treated between January 2005 to January 2015 at the West Kent Gynaecological Oncology Centre, Maidstone Hospital, Maidstone, United Kingdom.

RESULTS

A total of 132 women were investigated. The most common SLN location was the external iliac (38.6%) followed by obturator (25.3%) and internal iliac (23.6%) regions. A small percentage was identified in presacral (1.4%) and para-aortic regions (0.7%). Older age (P = 0.01) and an elevated body mass index (P = 0.03) were associated with decreased SLN count by preoperative single-photon emission computed tomography with computed tomography, and only age affected SLN count by gamma probe (P = 0.01). Initial surgery, large loop excision of the transformation zone, or cone biopsy of the cervix had no effect on SLN count. There was no difference observed in bilateral detection with respect to surgical approach (open: n = 48/laparoscopic: n = 84). However, older age was independently associated with a decrease in bilateral SLN detection (P = 0.003). In these patients who underwent unilateral full pelvic lymphadenectomy, all the nonsentinel nodes were negative.

CONCLUSIONS

The majority of SLNs were located in the external iliac, obturator, and internal iliac regions. Both older age and an elevated body mass index were associated with a reduced SLN count. Unilateral detection of SLN was independently associated with older age, which may be due to sclerosis in the lymphatic vessels or reduced perfusion in the pelvis in these women. If no SLN is detected on one side, the consensus is to perform a full pelvic lymphadenectomy on that side of the pelvis.

Can pelvic lymphadenectomy be omitted in patients with stage IA2, IB1, and IIA1 squamous cell cervical cancer?

Purpose

This study aimed to identify the surgical-pathologic risk factors of lymph node metastasis (LNM) in patients with early stage squamous cell cervical cancer and to evaluate the potential efficacy of omitting pelvic lymphadenectomy.

Methods

A total of 276 patients with stage IA2, IB1, and IIA1 squamous cell cervical cancer receiving primary radical hysterectomy with pelvic lymphadenectomy were included in this study.

Results

The incidences of LNM in patients with stage IA2, IB1, and IIA1 squamous cell cervical cancer were 0 % (0/8), 17.4 % (36/207), and 29.5 % (18/61), respectively. The most common location of LNM was the obturator lymph node. Human papilloma virus 16 subtype was the most common infection in early stage squamous cell cervical cancer. Univariate analysis revealed that squamous cell carcinoma antigen (SCCAg) greater than 1.5 μg/L (p < 0.001), tumor size greater than 2 cm (p < 0.001), tumor size greater than 3 cm (p < 0.001), depth of stromal invasion (p < 0.001) and lymphovascular invasion (p < 0.001) were associated with LNM. Logistic regression analysis revealed that depth of stromal invasion {model 1 [p = 0.006; odds ratio (OR) 2.161; 95 % confidence interval (CI) 1.251–3.734], model 2 [p = 0.002; OR 2.344; 95 % CI 1.337–3.989]}, lymphovascular invasion [model 1 (p = 0.004; OR 2.967; 95 % CI 1.411–6.237), model 2 (p = 0.004; OR 2.978; 95 % CI 1.421–6.243)], and SCCAg greater than 1.5 μg/L [model 1 (p = 0.023; OR 2.431; 95 % CI 1.129–5.235), model 2 (p = 0.024; OR 2.418; 95 % CI 1.125–5.194)] were independently associated with LNM.

Conclusions

Pelvic lymphadenectomy may be omitted in patients with SCCAg lower than 1.5 μg/L, superficial stromal invasion and without lymphovascular invasion in stage IA2, IB1, IIA1 squamous cell cervical cancer.

Resection of Sentinel Lymph Nodes by an Extraperitoneal Minilaparoscopic Approach Using Indocyanine Green for Uterine Malignancies

Background. The sentinel lymph node (SLN) concept might minimize surgical aggressiveness in cervical and endometrial malignancies. The aim of the study was to test the feasibility and reliability of minilaparoscopic extraperitoneal SLN excision after indocyanine green (ICG) cervical injection using a high-definition near infrared (NIR) imaging system in an in vivo porcine model. The same procedure was performed using conventional laparoscopic instruments and both outcomes were compared. Methods. Twenty-four animals were equally and randomly divided into a minilaparoscopic group (group A) and a 5-mm conventional laparoscopic group (group B). A high-definition NIR imaging system and a 30° ICG endoscope were used. First, ICG (0.5 mL) was injected in the paracervical region. The SLN coloring time was recorded. An extraperitoneal approach to the SLN was executed with the same CO2 retropneumoperitoneum pressures (10 mm Hg). In both groups, the times for SLN localization and excision, as well as complications, were registered. Finally, a laparotomy was then done to evaluate whether any stained SLN still remained. The same surgical team performed all experiments. Results. SLNs were identified and extraperitoneally excised in all animals without major complications. The SLN localization varied between animals from external iliac to preaortic regions. The surgical times were shorter with minilaparoscopy (39.3 ± 13 minutes) than with conventional 5-mm instruments (51.3 ± 14.17 minutes; P = .042). In group B, one stained SLN remained and was only detected by laparotomy. Conclusions. We confirmed the feasibility and reliability of extraperitoneal minilaparoscopic approach for identification, dissection, and excision of SLN using an NIR imaging system and ICG.

Beyond sentinel node algorithm. Toward a more tailored surgery for cervical cancer patients

Nowadays cervical cancer is frequently diagnosed at early stage. For these patients lymph node metastasis (LNM) is considered the most important prognostic factor. During the last decade many efforts have been made to reduce rate of complications associated with lymphadenectomy (LND). A great interest has arisen in sentinel lymph node (SLN) biopsy as a technique able to decrease number of LND performed and, at the same time, to assess lymph nodal status. High diagnostic performances have been reached thanks to SLN surgical algorithm. However, despite the efforts, about 25% of these patients undergo at least unilateral LND to meet NCCN recommendations. Data of women with International Federation of Gynecology and Obstetrics stage IA1‐IB1/IIA1 cervical carcinoma were retrospectively collected by six Italian institutions. All patients underwent complete preoperative staging workup and were primarily treated by radical hysterectomy and pelvic bilateral LND. A total of 368 patients with early‐stage cervical cancer were identified. Among them 333 (90.5%) showed no suspicious enlarged nodes at the preoperative magnetic resonance imaging (MRI). In this subset, tumor diameter ≥20 mm was the only independent predictor of LN status (P = 0.003). None of the 106 patients with negative MRI nodal assessment, with squamous and adenosquamous histotype and a tumor diameter less than 2 cm had LNM. Based on these results we propose a new modified SLN surgical algorithm that could safely reduce LND performed in patients with very low‐risk early‐stage cervical cancer.

Clinical Role of Adjuvant Chemotherapy after Radical Hysterectomy for FIGO Stage IB-IIA Cervical Cancer: Comparison with Adjuvant RT/CCRT Using Inverse-Probability-of-Treatment Weighting

OBJECTIVE

To evaluate the clinical role of adjuvant chemotherapy (AC) in FIGO stage IB-IIA cervical cancer patients.

STUDY DESIGN

A cohort of 262 patients with cervical cancer who received radical hysterectomy (RH) and adjuvant therapy at Asan Medical Center between 1992 and 2012 was enrolled. In this cohort, 85 patients received adjuvant chemotherapy (AC), and 177 received adjuvant radiotherapy or concurrent chemoradiation therapy (AR). Oncologic outcomes and adverse events in both treatment arms were compared using weighted Cox proportional hazards regression models with inverse-probability-of-treatment weighting (IPTW) to reduce the impact of treatment selection bias and potential confounding factors.

RESULTS

During a 46.8-month median follow-up duration, 39 patients (14.9%) had recurrences, and 18 patients (6.9%) died of disease. In multivariate analysis, the hazard ratio (HR) for recurrence and death was not significantly different in patients in either treatment arm (p=0.62 and 0.12, respectively). Also, after IPTW matching, the HR for recurrence did not significantly differ between the arms (HR 1.57, 95% CI 0.68-3.62, p=0.29). Similarly, disease-free survival and overall survival were not significantly different between the arms (p=0.47 and 0.13, respectively). In addition, patients with AC had a much lower prevalence of long-term complications (lymphedema: n=8 (9.4%) vs. 46 (26.0%), p=0.03; ureteral stricture: n=0 vs. 9 (6.2%), p=0.05).

CONCLUSION

Patients with FIGO stage IB-IIA cervical cancer can benefit from AC after RH with fewer long-term complications and non-inferior therapeutic effect to AR. Chemotherapy may therefore be an alternative adjuvant treatment option for cervical cancer, particularly in younger patients.

Radical Trachelectomy for Early-Stage Cervical Cancer: A Survey of the Society of Gynecologic Oncology and Gynecologic Oncology Fellows-in-Training

Objective

The aim of this study was to survey gynecologic oncologists and fellows-in-training regarding the role of radical trachelectomy (RT) and conservative surgery in patients with early-stage cervical cancer.

Materials and Methods

From June 2012 to September 2012, the Society of Gynecologic Oncology member practitioners (n = 1353) and gynecologic oncology fellows (n = 156) were sent group-specific surveys investigating current practice, training, and the future of RT for early-stage cervical cancer management.

Results

Twenty-two percent of practitioners (n = 303) and 24.4% of fellows (n = 38) completed the surveys. Of the practitioners, 50% (n = 148) report performing RT, 98% (n = 269) support RT as treatment for squamous carcinoma, and 71% (n = 195) confirm the use of RT for adenocarcinoma. Most practitioners offer RT treatment for stages IA2 to IB1 smaller than 2 cm (n = 209, 76.8%) regardless of grade (77.7%) or lymph vascular space invasion (n = 211, 79.3%). Only 8% (n = 23) of practitioners feel that RT is appropriate for stage IBI larger than 2 cm. Respectively, both practitioners and fellows most frequently perform robotic-assisted (47.0%, n = 101 and 59.1%, n = 13) and abdominal (40.5%, n = 87 and 68.2%, n = 15) RT approaches. After training, fellows project the use of robotic-assisted (71%, n = 22) or abdominal methods (58.1%, n = 18). Overall, 75% (n = 227) of practitioners and 60% (n = 23) of fellows speculate that over the next 5 years, less radical procedures will be used to manage early-stage cervical cancer.

Conclusions

Our findings suggest that practitioners and fellows believe RT remains an option for early-stage cervical cancer patients. However, a significant proportion of all respondents believe that less radical surgery may be a future consideration for patients with low-risk early-stage cervical cancer.

Value and advantages of preoperative sentinel lymph node imaging with SPECT/CT in cervical cancer

OBJECTIVE

Precise detection of sentinel lymph nodes (SLNs) seems to be a crucial factor for optimized treatment of cervical cancer. We assess the use of single photon emission computed tomography combined with computed tomography (SPECT/CT) as an alternative to lymphoscintigraphy (LSG) for preoperative identification of SLN.

METHODS

This study was performed in a prospective, unicentric setting. Patients with cervical carcinoma were scheduled for surgery and additional SLN labeling by peritumoral injection of 10 MBq technetium-99m-nanocolloid and patent blue. Thirty minutes after injection, LSG and SPECT/CT were carried out. We evaluated the number of SLNs detected intraoperatively in LSG and SPECT/CT and the histologic findings of SLN and non-SLN. Subsequently, we determined the impact of these results on the therapeutic approach.

RESULTS

This represents the largest study about SPECT/CT for SLN detection in cervical cancer so far. Between August 2008 and March 2013, 59 cervical cancer patients underwent intraoperative SLN detection. In addition, 51 of these patients underwent preoperative LSG and SPECT/CT. Imaging with SPECT/CT detected singular SLN at significantly higher rate (47/51, 92.2%) than that with planar LSG (43/51, 84.3%, P = 0.044). Furthermore, SPECT/CT performed better than LSG regarding the total number of detected SLN (SPECT/CT median, 3 [0-18]; LSG median, 2 [0-15]) and detection rates per pelvic side (SPECT/CT 76.9%, LSG 69.2%, P < 0.01). Whenever SLN detection succeeded, histologic evaluation of SLN correctly predicted the lymph node status per patient's side. Using this type of diagnostic approach for lymph node staging, we reached sensitivity of 100% and negative predictive value of 100% at a rate of false-negative results of 0% even in tumors larger than 4 cm.

CONCLUSIONS

Single photon emission computed tomography combined with computed tomography imaging leads to improved rates of SLN detection and better anatomic correlation compared with planar LSG. Thus, intraoperative detection of SLN can be improved by preoperative SPECT/CT imaging. This enhances the clinical value of SLN technique and improves the oncologic safety of SLN concept.

Postoperative Health-Related Quality of Life of Cervical Cancer Patients - A Comparison between the Wertheim-Meigs Operation and Total Mesometrial Resection (TMMR)

Introduction: The present study compares for the first time the standard therapy for cervical cancer in FIGO-stages IB-IIB, radical hysterectomy according to the Wertheim-Meigs operation, with the newly developed, nerve-sparing surgical technique, total mesometrial resection (TMMR) with regard to postoperative, health-related quality of life. Method: In the framework of a multicentre, retrospective cohort study a total of 110 cervical cancer patients were interviewed once by means of the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C30) and the cervical cancer module (EORTC QLQ-CX24). The influence of the surgical method was investigated by analysis of covariance under control of age and the time elapsed between treatment and interview. Results: An influence of the therapeutic method was demonstrated in the EORTC scales physical function (p = 0.047), role function (p = 0.016), fatigue (p = 0.028), pain (p = 0.018), shortness of breath (p = 0.034), lack of appetite (p = 0.006) and diarrhoea (p = 0.012) in favour of the 74 women treated by TMMR. With regard to cognitive, emotional and social functioning as well as cervical cancer-specific symptoms, no significant differences between the therapy groups were found. Conclusion: The findings presented in this study suggest a superiority of TMMR in comparison to the previously employed radical hysterectomy according to Wertheim-Meigs with regard to the postoperative quality of life, especially in the fields of physical activity and fatigue. This needs to be validated in the course of prospective, multicentre studies. In addition, it must be clarified as to what extent the found effects are, in particular, due to the omission of an additional radiotherapy.

[Sentinel lymph node in low stage cervical cancers. Current data. Quality assurance. Prospects]

Sentinel node biopsy appears as a promising technique for the assessment of nodal disease in early cervical cancers. Selection of a population with a low risk of nodal metastasis, a minimal training, and simple rules allow a low false negative rate. Sentinel node biopsy provides supplementary information, such as anatomical information (nodes outside of routine lymphadenectomy areas) and histological information (isolated tumors cells and micrometastases).

Sentinel lymph node biopsy in uterine cervical cancer patients: ready for clinical use? A review of the literature

Sentinel lymph node biopsy has been widely studied in a number of cancer types. As far as cervical cancer is concerned, this technique has already been used, revealing both positive results and several issues to be solved. The debate on the role of sentinel lymph node biopsy in cervical cancer is still open although most of the studies have already revealed its superiority over complete lymphadenectomy and the best handling possible of the emerging practical problems. Further research should be made in order to standardize this method and include it in the clinical routine.

Sentinel lymph node evaluation in women with cervical cancer

Lymph node status is the most important prognosticator of survival in women with early stage cervical cancer. Thus many patients with cervical cancer will undergo pelvic lymphadenectomy as part of the treatment. This procedure is associated with substantial morbidity. Use of the sentinel lymph node technique in women with cervical cancer has the potential to decrease this morbidity. Multiple studies have suggested that sentinel lymph node mapping in these patients is feasible, with excellent detection rates and sensitivity. This review examines the current body of literature about sentinel lymph node biopsy in women with cervical cancer.