Locally Advanced Cervical Cancer Research Articles

Patterns of First Recurrence and Oncological Outcomes in Locally Advanced Cervical Cancer Patients: Does Surgical Staging Play a Role?

We aimed to determine whether surgical aortic staging by minimally invasive paraaortic lymphadenectomy (PALND) affects the pattern of first recurrence and survival in treated locally advanced cervical cancer (LACC) patients when compared to patients staged by imaging (noPALND). This study was a multicenter observational retrospective cohort study of patients with LACC treated at tertiary care hospitals throughout Spain. The inclusion criteria were histological diagnosis of squamous carcinoma, adenosquamous carcinoma, and/or adenocarcinoma; FIGO stages IB2, IIA2-IVA (FIGO 2009); and planned treatment with primary chemoradiotherapy between 2000 and 2016. Propensity score matching (PSM) was performed before the analysis. After PSM and sample replacement, 1092 patients were included for analysis (noPALND n = 546, PALND n = 546). Twenty-one percent of patients recurred during follow-up, with the PALND group having almost double the recurrences of the noPALND group (noPALND: 15.0%, PALND: 28.0%, p < 0.001). Nodal (regional) recurrences were more frequently observed in PALND patients (noPALND:2.4%, PALND: 11.2%, p < 0.001). Among those who recurred regionally, 57.1% recurred at the pelvic nodes, 37.1% recurred at the aortic nodes, and 5.7% recurred simultaneously at both the pelvic and aortic nodes. Patients who underwent a staging PALND were more frequently diagnosed with a distant recurrence (noPALND: 7.0%, PALND: 15.6%, p < 0.001). PALND patients presented poorer overall, cancer-specific, and disease-free survival when compared to patients in the noPALND group. After treatment, surgically staged patients with LACC recurred more frequently and showed worse survival rates.

Nomograms combining computed tomography-based body composition changes with clinical prognostic factors to predict survival in locally advanced cervical cancer patients.

To explore the value of body composition changes (BCC) measured by quantitative computed tomography (QCT) for evaluating the survival of patients with locally advanced cervical cancer (LACC) underwent concurrent chemoradiotherapy (CCRT), nomograms combined BCC with clinical prognostic factors (CPF) were constructed to predict overall survival (OS) and progression-free survival (PFS). Eighty-eight patients with LACC were retrospectively selected. All patients underwent QCT scans before and after CCRT, bone mineral density (BMD), subcutaneous fat area (SFA), visceral fat area (VFA), total fat area (TFA), paravertebral muscle area (PMA) were measured from two sets of computed tomography (CT) images, and change rates of these were calculated. Multivariate Cox regression analysis showed ΔBMD, ΔSFA, SCC-Ag, LNM were independent factors for OS (HR = 3.560, 5.870, 2.702, 2.499, respectively, all P < 0.05); ΔPMA, SCC-Ag, LNM were independent factors for PFS (HR = 2.915, 4.291, 2.902, respectively, all P < 0.05). Prognostic models of BCC combined with CPF had the highest predictive performance, and the area under the curve (AUC) for OS and PFS were 0.837, 0.846, respectively. The concordance index (C-index) of nomograms for OS and PFS were 0.834, 0.799, respectively. Calibration curves showed good agreement between the nomograms' predictive and actual OS and PFS, decision curve analysis (DCA) showed good clinical benefit of nomograms. CT-based body composition changes and CPF (SCC-Ag, LNM) were associated with survival in patients with LACC. The prognostic nomograms combined BCC with CPF were able to predict the OS and PFS in patients with LACC reliably.

MRI-based volumetric tumor parameters before and during chemoradiation predict tumor recurrence and patient survival in locally advanced cervical cancer: a subgroup analysis of a phase II prospective trial.

This subgroup analysis of a prospective phase II trial aimed to identify valuable and accessible prognostic factors for overall survival (OS) and progression-free survival (PFS) of patients with locally advanced cervical cancer (LACC). Patients with FIGO II to IVA cervical cancer were assessed in this study. All patients underwent concurrent chemoradiotherapy (CCRT) followed by brachytherapy. Tumor parameters based on MRI scans before and during CCRT were evaluated for Overall survival (OS) and Progression-free survival (PFS). A total of 86 patients were included in this analysis with a median follow-up period of 31.7months. Three-year OS and PFS rates for all patients were 87.1% and 76.5%, respectively. Univariate Cox regression analysis showed that restaging tumor size (rTS) over 2.55cm (p < 0.001), initial tumor volume (iTV) over 55.99cc (p < 0.001), downstaging (p = 0.042), and restaging tumor volume (rTV) over 6.25cc (p = 0.006) were significantly associated with OS. rTS (p < 0.001), iTV (p < 0.001), downstaging (p = 0.027), and rTV (p < 0.001) were identified as significant prognostic factors for PFS. In the stepwise multivariable analysis, only rTS > 2.55cm showed statistically significant with OS (HR: 5.47, 95% CI 1.80-9.58, p = 0.035) and PFS (HR: 3.83, 95% CI 1.50-11.45; p = 0.025). Initial tumor size and restaging tumor volume that are easily accessible during radiotherapy provide valuable prognostic information for cervical cancer. MRI-based measurable volumetric scoring system can be readily applied in real-world practice of cervical cancer. This study is a subgroup analysis of prospective trial registered at ClinicalTrials.gov Identifier: NCT02993653.

Are biomarkers expression and clinical-pathological factors predictive markers of the efficacy of neoadjuvant chemotherapy for locally advanced cervical cancer?

IntroductionTo predict the overall pathologic response to neoadjuvant chemotherapy (NACT) of patients with locally advanced cervical cancer (LACC) creating a prediction model based on clinical-pathological factors and biomarkers (p53, Bcl1 and Bcl2) and to evaluate the prognostic outcomes of NACT. Materials and methodsThis is a retrospective study of 88 consecutive patients with LACC who underwent NACT followed by nerve sparing surgery with retroperitoneal lymphadenectomy at National Cancer Institute of Milan, between January 2000 and June 2013. Clinical pathologic data were retrieved from the institutional database. Biomarkers (p53, Bcl1 and Bcl2) were evaluated before and after NACT in the specimen. To investigate their role as predictors of response, we tried several statistical machine learning algorithms. ResultsResponders to NACT showed a 5-years survival between 100%(CR) and 85.7%(PR). Clinical factors were the most important predictor of response. Age, BMI and grade represented the most important predictors of response at random forest analysis. Tree-based boosting revealed that after adjusting for other prognostic factors, age, grade, BMI and tumor size were independent predictors of response to NACT, while p53 was moderately related to response to NACT. Area under the curve (crude estimate): 0.871. Whereas Bcl1 and Bcl2, were not predictors for response to NACT. The final logistic regression reported that grade was the only significant predictor of response to NACT. ConclusionCombined model that included clinical pathologic variables plus p53 cannot predict response to NACT. Despite this, NACT remain a safe treatment in chemosensitive patients avoiding collateral sequelae related to chemo-radiotherapy.

Interstitial needles versus intracavitary applicators only for locally advanced cervical cancer: results from real-life dosimetric comparisons.

Image-guided adapted brachytherapy (IGABT) is superior to other radiotherapy techniques in the treatment of locally advanced cervical cancer (LACC). We aimed to investigate the benefit of interstitial needles (IN) for a combined intracavitary/interstitial (IC/IS) approach using IGABT over the intracavitary approach (IC) alone in patients with LACC after concomitant external beam radiotherapy (EBRT) and chemotherapy. We included consecutive patients with LACC who were treated with IC/IS IGABT after radiochemotherapy (RCT) in our retrospective, observational study. Dosimetric gain and sparing of organs at risk (OAR) were investigated by comparing the IC/IS IGABT plan with a simulated plan without needle use (IC IGABT plan) and the impact of other clinical factors on the benefit of IC/IS IGABT. Ninety-nine patients were analyzed, with a mean EBRT dose of 45.5 ± 1.7 Gy; 97 patients received concurrent chemotherapy. A significant increase in median D90% High Risk Clinical target volume (HR-CTV) was found for IC/IS (82.8 Gy) vs IC (76.2 Gy) (p < 10-4). A significant decrease of the delivered dose for all OAR was found for IC/IS vs IC for median D2cc to the bladder (77.2 Gy), rectum (68 Gy), sigmoid (53.2 Gy), and small bowel (47 Gy) (all p < 10-4). HR-CTV coverage was higher with IC/IS IGABT than with IC IGABT, with lower doses to the OAR in patients managed for LACC after RCT. Interstitial brachytherapy in the management of LACC after radiotherapy provides better coverage of the target volumes, this could contribute to better local control and improved survival of patients.

Dosimetric impact of bone marrow sparing for robustly optimized IMPT for locally advanced cervical cancer

Background and purposeTo investigate the trade-off between bone marrow sparing (BMS) and dose to organs at risk (OARs) for intensity modulated proton therapy (IMPT) for women with locally advanced cervical cancer (LACC). Materials and methodsTwenty LACC patients were retrospectively included. IMPT plans were created for each patient using automated treatment planning. These plans progressively reduced bone marrow mean doses by steps of 1 GyRBE, while constraining target coverage and conformality. The relation between bone marrow dose and bladder, small bowel, rectum, and sigmoid doses was evaluated. ResultsA total of 140 IMPT plans were created. Plans without BMS had an average [range] bone marrow mean dose of 17.3 [14.7–21.6] GyRBE , which reduced to 12.0 [10.0–14.0] GyRBE with maximum BMS. The mean OAR dose [range] increased modestly for 1 GyRBE BMS: 0.2 [0.0 – 0.6] GyRBE for bladder, 0.3 [-0.2 – 0.7] GyRBE for rectum, 0.4 [0.1 – 0.8] GyRBE for small bowel, and 0.2 [-0.2 – 0.4] GyRBE for sigmoid. Moreover, for maximum BMS, mean OAR doses [range] escalated by 3.3 [0.1 – 6.7] GyRBE for bladder, 5.8 [1.8 – 12.4] GyRBE for rectum, 3.9 [1.6 – 5.9] GyRBE for small bowel, and 2.7 [0.6 – 5.9] GyRBE for sigmoid. ConclusionAchieving 1 GyRBE BMS for IMPT is feasible for LACC patients with limited dosimetric impact on other OARs. While further bone marrow dose reduction is possible for some patients, it may increase OAR doses substantially for others. Hence, we recommend a personalized approach when introducing BMS into clinical IMPT treatment planning to carefully assess individual patient benefits and risks.

Construction and efficacy test of a survival prediction model for locally advanced cervical cancer based on anti-angiogenesis

ObjectiveThis study aimed to develop and evaluate an anti-angiogenesis-based model for predicting the survival and the potential benefits of targeted therapy for patients with localized advanced cervical cancer. MethodsWe collected clinical data from 163 patients with cervical cancer who received paclitaxel and cisplatin (TP) or TP plus bevacizumab during or after radiotherapy from June 2017 to February 2023. We analyzed the clinical measures of recent efficacy and overall survival (OS) using univariate and logistic multivariate and Cox regression methods, respectively. We constructed a nomogram model and evaluated its efficacy using the c-index, the area under the curve (AUC), a calibration curve, and the clinical decision curve (DCA). ResultsWe found that targeted agents and hemoglobin were independent determinants of near-term efficacy (P < 0.05), while targeted agents and stage were independent factors of OS (P < 0.05). We developed a predictive model for an OS prognostic nomogram and performed internal validation 1000 times using the Bootstrap re-sampling method. The c-index was 0.81, and the AUC was 0.84 (P < 0.01).The calibration curves showed a good agreement between the projected and actual values. The DCA curve indicated that the model had a high positive predictive accuracy. ConclusionWe developed a novel anti-angiogenesis-based survival prediction model for patients with locally advanced cervical cancer. This model could estimate the benefit of targeted therapy before treatment, and it had good validation.

Nomograms for predicting prognostic value of combined neutrophil-to-lymphocyte ratio and SCC-Ag in locally advanced cervical cancer.

Accumulating evidence supports the important role of inflammation in tumorigenesis and progression. Squamous cell carcinoma-associated antigen (SCC-Ag) is a tumor marker widely used to predict the prognosis of patients with cervical squamous cell carcinoma. This paper explored the predictive value of combined detection of neutrophil-to-lymphocyte ratio (NLR) to SCC-Ag for prognosis in patients with locally advanced cervical cancer (LACC). A retrospective analysis was conducted on 190 LACC patients who underwent concurrent chemoradiotherapy (CCRT) from January 2012 to December 2016. NLR and SCC-Ag were analyzed before treatment. Receiver operating characteristic (ROC) curve analysis was employed to determine the optimal cutoff point for NLR and SCC-Ag. Kaplan-Meier analysis and Cox regression analysis were performed to assess their prognostic values. Nomograms were established to predict progression-free survival (PFS) and overall survival (OS), and the Harrell's concordance index (C-index) was introduced to evaluate the accuracy of predictions. The optimal cutoff values for SCC-Ag and NLR were 3.25 ng/mL and 2.52, respectively. Patients with SCC-Ag >3.25 ng/mL and NLR >2.52 were significantly associated with decreased PFS and OS. Multivariate analysis indicated that SCC-Ag and NLR were independent prognostic factors for PFS (P=0.022 and P=0.004, respectively) and OS (P=0.031 and P=0.001, respectively). The area under the curve of SCC-Ag, NLR and their combination to predict PFS and OS of LACC were 0.688, 0.623, 0.708 and 0.684, 0.658, 0.723, respectively. C-index of nomograms based on PFS and OS were 0.725 [95% confidence interval (CI): 0.653-0.797] and 0.731 (95% CI: 0.658-0.804), respectively. The combination of SCC-Ag and NLR could provide a better predictive prognosis than SCC-Ag or NLR alone, and nomograms based on PFS and OS can be recommended as practical models for evaluating the prognosis of LACC patients.

A randomized trial evaluating a novel hydrogel packing system compared to standard packing during image-guided high-dose rate brachytherapy boost for cervical cancer

INTRODUCTIONThe purpose of this prospective randomized trial was to compare the use of a novel vaginal hydrogel packing system (BrachyGel) to standard vaginal packing (VP) during high dose rate (HDR) brachytherapy (BT) for locally advanced cervical cancer (LACC). METHODSThis cross-over study included LACC patients receiving HDR BT boost (intracavitary +/- interstitial). All patients received alternating gauze or BrachyGel VP on Arms A and B. Patients, physicians, and physicists evaluated BT characteristics via a 4-point Likert scale. Adverse events (AEs) were prospectively collected and scored per CTCAE. RESULTSThe 20 patients enrolled. The mean bladder D2cc difference between gauze and BrachyGel in Arm A was 0.117 Gray (Gy) and in Arm B 0.013 Gy. The mean difference in rectum D2cc in Arm A and Arm B was -0.189 Gy and -0.191 Gy, respectively. The mean dose to 90% of the high-risk clinical target volume (HR-CTV) for gauze compared to BrachyGel was -0.032 Gy (95% CI: 0.472, 0.409). Patient-reported discomfort was similar with BrachyGel and gauze (“mild/moderate” 70.0% vs 74.0%, respectively). The clarity of VP was similar between BrachyGel and gauze (86.8% vs 89.7%, respectively). The completeness of VP was more frequently “excellent/good” with BrachyGel (79.0%) compared to gauze (56.4%). The ease of packing was more frequently “extremely easy” with BrachyGel (21.2% vs 0%). No serious AEs were reported. CONCLUSIONThis randomized trial found no clinically significant difference in OAR or HR-CTV dosimetry between BrachyGel and standard VP. BrachyGel performed well compared to gauze for the patient and physician use experience.

Tumor and metastatic lymph nodes metabolic activity on 18F-FDG-PET/CT to predict progression-free survival in locally advanced cervical cancer.

The present study investigated the predictive diseases progression value of preoperative fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) in patients with local advanced cervical cancer (LACC). In total, 267 patients [median age 58 (range: 27-85) years old] with LACC underwent 18F-FDG PET/CT prior to any treatment. The maximum standardized uptake values (SUVmax), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) of the primary lesion and metastatic lymph nodes were measured on PET/CT and correlated with clinicopathological features and progression-free survival (PFS). The median follow-up was 36.52 (range: 3.09-61.29) months. During the observation period, 80 (30.0%) patients exhibited disease progression. Univariate analysis showed that FIGO stage, concurrent chemoradiotherapy (CRT), serum level of carcinoembryonic antigen (CEA) and squamous cell carcinoma antigen (SCC-Ag), primary tumor MTV (pMTV) and TLG (pTLG), lymph nodes SUVmax (nSUVmax) and TLG (nTLG), and total metabolic activity (sMTV, sTLG) were associated with PFS. nSUVmax ≥ 5.29, CEA ≥ 7.11ng/ml and deficiency of concurrent CRT were independent risk factor for PFS (p = 0.006, p = 0.008, p = 0.014). The 3-year PFS for patients with high nSUVmax were 42.2% compared to 56.3% for low nSUVmax values. Pretreatment cervical and lymph nodes metabolic parameters were associated with PFS in patients with LACC.

Survival of Women with Advanced Stage Cervical Cancer: Neo-Adjuvant Chemotherapy Followed by Radiotherapy and Hyperthermia versus Chemoradiotherapy

Aim: To investigate and compare overall survival (OS), disease-free survival (DFS) and toxicity of women who underwent either chemoradiotherapy with or without prior lymph node debulking or upfront chemotherapy followed by radiotherapy and hyperthermia (triple therapy) for locally advanced cervical cancer (LACC) to identify a potential role for triple therapy. Methods: Women with histologically proven LACC and with International Federation of Gynecology and Obstetrics (FIGO) 2009 stage IB2 and IIA2 to IVA were included. Cox regression analyses were used for calculating hazard ratios and to adjust for confounding variables. A multivariable logistic regression analysis was used to examine the influence of covariates on toxicity. Results: A total of 370 patients were included of whom 58% (n = 213) received chemoradiotherapy (CRT), 18% (n = 66) received node-debulking followed by chemoradiotherapy (LND-CRT) and 25% (n = 91) received triple therapy (TT). Five-year OS was comparable between the three treatment groups, with 53% (95% confidence interval 46–59%) in the CRT group, 45% (33–56%) in the LND-CRT group and 53% (40–64%) in the TT group (p = 0.472). In the adjusted analysis, 5-year OS and DFS were comparable between the three treatment groups. No chemotherapy-related differences in toxicity were observed. Conclusion: This study suggests that the toxicity and survival of TT is similar to CRT or LND-CRT.

Development and validation of a 18F-FDG PET/CT radiomics nomogram for predicting progression free survival in locally advanced cervical cancer: a retrospective multicenter study

BackgroundThe existing staging system cannot meet the needs of accurate survival prediction. Accurate survival prediction for locally advanced cervical cancer (LACC) patients who have undergone concurrent radiochemotherapy (CCRT) can improve their treatment management. Thus, this present study aimed to develop and validate radiomics models based on pretreatment 18Fluorine-fluorodeoxyglucose (18F-FDG) positron emission tomography (PET)-computed tomography (CT) images to accurately predict the prognosis in patients.MethodsThe data from 190 consecutive patients with LACC who underwent pretreatment 18F-FDG PET-CT and CCRT at two cancer hospitals were retrospectively analyzed; 176 patients from the same hospital were randomly divided into training (n = 117) and internal validation (n = 50) cohorts. Clinical features were selected from the training cohort using univariate and multivariate Cox proportional hazards models; radiomic features were extracted from PET and CT images and filtered using least absolute shrinkage and selection operator and Cox proportional hazard regression. Three prediction models and a nomogram were then constructed using the previously selected clinical, CT and PET radiomics features. The external validation cohort that was used to validate the models included 23 patients with LACC from another cancer hospital. The predictive performance of the constructed models was evaluated using receiver operator characteristic curves, Kaplan Meier curves, and a nomogram.ResultsIn total, one clinical, one PET radiomics, and three CT radiomics features were significantly associated with progression-free survival in the training cohort. Across all three cohorts, the combined model displayed better efficacy and clinical utility than any of these parameters alone in predicting 3-year progression-free survival (area under curve: 0.661, 0.718, and 0.775; C-index: 0.698, 0.724, and 0.705, respectively) and 5-year progression-free survival (area under curve: 0.661, 0.711, and 0.767; C-index, 0.698, 0.722, and 0.676, respectively). On subsequent construction of a nomogram, the calibration curve demonstrated good agreement between actually observed and nomogram-predicted values.ConclusionsIn this study, a clinico-radiomics prediction model was developed and successfully validated using an independent external validation cohort. The nomogram incorporating radiomics and clinical features could be a useful clinical tool for the early and accurate assessment of long-term prognosis in patients with LACC patients who undergo concurrent chemoradiotherapy.

Prediction of Patient Outcomes in Locally Advanced Cervical Carcinoma Following Chemoradiotherapy-Comparative Effectiveness of Magnetic Resonance Imaging and 2-Deoxy-2-[18F]fluoro-D-glucose Imaging.

To evaluate the utility and comparative effectiveness of three five-point qualitative scoring systems for assessing response on PET-CT and MRI imaging individually and in combination, following curative-intent chemoradiotherapy (CRT) in locally advanced cervical cancer (LACC). Their performance in the prediction of subsequent patient outcomes was also assessed; Methods: Ninety-seven patients with histologically confirmed LACC treated with CRT using standard institutional protocols at a single centre who underwent PET-CT and MRI at staging and post treatment were identified retrospectively from an institutional database. The post-CRT imaging studies were independently reviewed, and response assessed using five-point scoring tools for T2WI, DWI, and FDG PET-CT. Patient characteristics, staging, treatment, and follow-up details including progression-free survival (PFS) and overall survival (OS) outcomes were collected. To compare diagnostic performance metrics, a two-proportion z-test was employed. A Kaplan-Meier analysis (Mantel-Cox log-rank) was performed. The T2WI (p < 0.00001, p < 0.00001) and DWI response scores (p < 0.00001, p = 0.0002) had higher specificity and accuracy than the PET-CT. The T2WI score had the highest positive predictive value (PPV), while the negative predictive value (NPV) was consistent across modalities. The combined MR scores maintained high NPV, PPV, specificity, and sensitivity, and the PET/MR consensus scores showed superior diagnostic accuracy and specificity compared to the PET-CT score alone (p = 0.02926, p = 0.0083). The Kaplan-Meier analysis revealed significant differences in the PFS based on the T2WI (p < 0.001), DWI (p < 0.001), combined MR (p = 0.003), and PET-CT/MR consensus scores (p < 0.001) and in the OS for the T2WI (p < 0.001), DWI (p < 0.001), and combined MR scores (p = 0.031) between responders and non-responders. Post-CRT response assessment using qualitative MR scoring and/or consensus PET-CT and MRI scoring was a better predictor of outcome compared to PET-CT assessment alone. This requires validation in a larger prospective study but offers the potential to help stratify patient follow-up in the future.

Comparing deep learning and handcrafted radiomics to predict chemoradiotherapy response for locally advanced cervical cancer using pretreatment MRI

Concurrent chemoradiotherapy (CRT) is the standard treatment for locally advanced cervical cancer (LACC), but its responsiveness varies among patients. A reliable tool for predicting CRT responses is necessary for personalized cancer treatment. In this study, we constructed prediction models using handcrafted radiomics (HCR) and deep learning radiomics (DLR) based on pretreatment MRI data to predict CRT response in LACC. Furthermore, we investigated the potential improvement in prediction performance by incorporating clinical factors. A total of 252 LACC patients undergoing curative chemoradiotherapy are included. The patients are randomly divided into two independent groups for the training (167 patients) and test datasets (85 patients). Contrast-enhanced T1- and T2-weighted MR scans are obtained. For HCR analysis, 1890 imaging features are extracted and a support vector machine classifier with a five-fold cross-validation is trained on training dataset to predict CRT response and subsequently validated on test dataset. For DLR analysis, a 3-dimensional convolutional neural network was trained on training dataset and validated on test dataset. In conclusion, both HCR and DLR models could predict CRT responses in patients with LACC. The integration of clinical factors into radiomics prediction models tended to improve performance in HCR analysis. Our findings may contribute to the development of personalized treatment strategies for LACC patients.

Treatment Strategies for Cervical Cancer in Older Women: Challenges and Advancements

Abstract: Recent advances in brachytherapy (BT) and chemotherapy, as well as consensus statements from several different organizations, were examined in this study as they pertain to the treatment of locally advanced cervical cancer (LACC). Since patients undergoing intensive chemotherapy before, during, and after radiation therapy (RT) experienced significant toxicities, it was decided that no additional conventional therapeutic options should be pursued. The use of PET-CT and MRI in the assessment of pelvic lymph nodes and bone marrow metastases improved pelvic RT planning. It can be concluded from the findings of the study that by administering an integrated boost for metastatic pelvic lymph nodes in IMRT followed by MRI-guided adaptive beam therapy, patients with LACC may benefit from modern radiation therapy methods that treat bladder and rectum tissues while shortening treatment times.

Information needs during cancer care: Qualitative research with locally advanced cervical cancer patients in Brazil, China, Germany, & the US

ObjectiveThis study aimed to identify the information needs and factors for making informed treatment decisions among a diverse group of locally advanced cervical cancer (LACC) patients. MethodsSemi-structured interviews were conducted with LACC patients of diverse demographic and socioeconomic backgrounds within two years of their cancer diagnosis. Trained moderators asked open-ended questions about patients’ cancer journeys. Transcripts were analyzed using NVivo software to identify emergent themes. ResultsIn 2022, 92 LACC patients in the United States (n = 26), Brazil (n = 25), China (n = 25), and Germany (n = 16) participated in the study. Physicians were valued sources of information, providing patients with details on prognosis, treatment options, and side effects. While most patients trusted their physicians, one-third sought a second opinion to validate their diagnosis or find a more trusted physician.Most patients conducted their own research on treatment options, side effects, causes of LACC, symptoms, and others’ experiences. Challenges to information searches included understanding medical terms, finding relevant information, and evaluating source credibility.Overall, patients felt knowledgeable enough to participate in treatment decisions, either by accepting the recommended treatment or collaborating with their physicians. Nearly one-third of patients desired a more significant role in the decision-making process. ConclusionThis study highlights the importance of physicians providing LACC patients comprehensive and understandable information, while involving them in the decision-making process. Understanding LACC patients’ motivations to seek information and their willingness to actively engage in treatment decisions can lead to improved patient satisfaction in their cancer care.

Automated Prediction of Neoadjuvant Chemoradiotherapy Response in Locally Advanced Cervical Cancer Using Hybrid Model-Based MRI Radiomics.

This study aimed to develop a model that automatically predicts the neoadjuvant chemoradiotherapy (nCRT) response for patients with locally advanced cervical cancer (LACC) based on T2-weighted MR images and clinical parameters. A total of 138 patients were enrolled, and T2-weighted MR images and clinical information of the patients before treatment were collected. Clinical information included age, stage, pathological type, squamous cell carcinoma (SCC) level, and lymph node status. A hybrid model extracted the domain-specific features from the computational radiomics system, the abstract features from the deep learning network, and the clinical parameters. Then, it employed an ensemble learning classifier weighted by logistic regression (LR) classifier, support vector machine (SVM) classifier, K-Nearest Neighbor (KNN) classifier, and Bayesian classifier to predict the pathologic complete response (pCR). The area under the receiver operating characteristics curve (AUC), accuracy (ACC), true positive rate (TPR), true negative rate (TNR), and precision were used as evaluation metrics. Among the 138 LACC patients, 74 were in the pCR group, and 64 were in the non-pCR group. There was no significant difference between the two cohorts in terms of tumor diameter (p = 0.787), lymph node (p = 0.068), and stage before radiotherapy (p = 0.846), respectively. The 109-dimension domain features and 1472-dimension abstract features from MRI images were used to form a hybrid model. The average AUC, ACC, TPR, TNR, and precision of the proposed hybrid model were about 0.80, 0.71, 0.75, 0.66, and 0.71, while the AUC values of using clinical parameters, domain-specific features, and abstract features alone were 0.61, 0.67 and 0.76, respectively. The AUC value of the model without an ensemble learning classifier was 0.76. The proposed hybrid model can predict the radiotherapy response of patients with LACC, which might help radiation oncologists create personalized treatment plans for patients.

Urinary, Gastrointestinal, and Sexual Dysfunctions after Chemotherapy, Radiotherapy, Radical Surgery or Multimodal Treatment in Women with Locally Advanced Cervical Cancer: A Multicenter Retrospective Study.

Different strategies have been proposed for the treatment of locally advanced cervical cancer (LACC), with different impacts on patient's quality of life (QoL). This study aimed to analyze urinary, bowel, and sexual dysfunctions in a series of LACC patients who underwent chemotherapy, radiotherapy, radical surgery, or a combination of these treatments. Patients with LACC who underwent neoadjuvant radio-chemotherapy (NART/CT; n = 35), neoadjuvant chemotherapy (NACT; n = 17), exclusive radio-chemotherapy (ERT/CT; n = 28), or upfront surgery (UPS; n = 10) from November 2010 to September 2019 were identified from five oncological referral centers. A customized questionnaire was used for the valuation of urinary, gastrointestinal, and sexual dysfunctions. A total of 90 patients were included. Increased urinary frequency (>8 times/day) was higher in ERT/CT compared with NACT/RT (57.1% vs. 28.6%; p = 0.02) and NACT (57.1% vs. 17.6%; p = 0.01). The use of sanitary pads for urinary leakage was higher in ERT/CT compared with NACT/RT (42.9% vs. 14.3%; p = 0.01) and NACT (42.9% vs. 11.8%; p = 0.03). The rate of reduced evacuations (<3 times a week) was less in UPS compared with NACT/RT (50% vs. 97.1%; p < 0.01), NACT (50% vs. 88.2, p < 0.01), and ERT/CT (50% vs. 96.4%; p < 0.01). A total of 52 women were not sexually active after therapy, and pain was the principal reason for the avoidance of sexual activity. The rate and severity of urinary, gastrointestinal, and sexual dysfunction were similar in the four groups of treatment. Nevertheless, ERT/CT was associated with worse sexual and urinary outcomes.

Dosimetric comparison of stereotactic MR-guided radiation therapy (SMART) and HDR brachytherapy boost in cervical cancer

The standard of care in locally advanced cervical cancer (LACC) is concomitant chemoradiotherapy followed by high-dose-rate brachytherapy (HDR-BT). Although previous studies compared HDR-BT with stereotactic body radiotherapy (SBRT), there is scarce data regarding the dosimetric outcomes of stereotactic MR-guided adaptive radiation therapy (SMART) boost in lieu of HDR-BT. In this single-institutional in-silico comparative study, LACC patients who were definitively treated with external beam radiotherapy followed by HDR-BT were selected. Target volumes and organs at risk (OARs) were delineated in MRI and HDR-planning CT. An HDR-BT and a SMART boost plan were generated with a prescribed dose of 28 Gy in four fractions for all patients. The HDR-BT and SMART boost plans were compared in regard to target coverage as well OARs doses. Mean EQD2 D90 to HR-CTV and IR-CTV for HDR-BT plans were 89.7 and 70.5 Gy, respectively. For SMART, the mean EQD2 D90 to HR-PTV, HR-CTV, and IR-CTV were 82.9, 95.4, and 70.2 Gy, respectively. The mean D2cc EQD2 of bladder, rectum, and sigmoid colon for HDR-BT plans were 86.4, 70.7, and 65.7 Gy, respectively. The mean D2cc EQD2 of bladder, rectum, and sigmoid colon for SMART plans were 81.4, 70.8, and 73.6 Gy, respectively. All dose constraints in terms of target coverage and OARs constraints were met for both HDR-BT and SMART plans. This dosimetric study demonstrates that SMART can be applied in cases where HDR-BT is not available or ineligible with acceptable target coverage and OAR sparing. However, prospective clinical studies are needed to validate these results.

The value of MRI in quantification of parametrial invasion and association with prognosis in locally advanced cervical cancer: the "PLACE" study.

This retrospective observational study aims to evaluate the association between the extent of parametrial invasion (PMI) and disease-free survival (DFS) and cancer-specific survival (CSS) in patients with locally advanced cervical cancer (LACC). This study included patients with LACC showing parametrial invasion at Magnetic Resonance Imaging (MRI). They were treated with neoadjuvant chemo-radiotherapy (CT/RT) before undergoing radical hysterectomy. The staging MRIs were reviewed retrospectively. Measurements of maximum PMI (PMImax) and parametrial length were taken bilaterally. After that, PMIratio was calculated by dividing PMImax by parametrial length. Analysis was conducted on homogeneous subsets of patients, grouped based on their pathological lymph nodal evaluation (N- and N+). Correlations between PMImax and PMIratio with DFS and CSS were evaluated in both the N- and N+ groups, employing univariable Cox regression analysis. Out of 221 patients, 126 (57%) had non-metastatic lymph nodes (N-), while 95 (43%) had metastatic lymph nodes (N+). The median observation period for all these patients was 73 months (95% confidence interval [CI]: 66-77). The 5-year DFS and CSS probability rates were 75% and 85.7%, respectively, for the N- group and 54.3% and 73.6%, respectively, for the N+ group. A higher PMImax (hazard ratio [HR] = 1.09) and PMIratio (HR = 1.04) correlated with worse overall survival in patients in the N- group (p= 0.025 and p= 0.042). These parameters did not show a significant statistical association in the N+ group. The degree of PMI evaluated on MRI affects outcome in N- patients with LACC. The degree of MRI parametrial invasion affects disease-free survival and cancer-specific survival in patients with the International Federation of Gynecology and Obstetrics (FIGO) stage IIB cervical cancer. This MRI finding can be easily incorporated into routine clinical practice. • Visual assessment of parametrial invasion on MRI was not significantly associated with prognosis in locally advanced cervical cancer (LACC). • A greater degree of parametrial invasion is associated with poorer disease-free survival and cancer-specific survival in patients with LACC without metastatic lymph node involvement. • The degree of parametrial invasion at MRI has no correlation with prognosis in LACC with metastatic lymph nodes.