The value of patient-reported outcomes to predict for symptom burden and health-related quality of life after chemoradiation for cervical cancer: A prospective study.

PURPOSE: Cervical cancer patients undergoing chemoradiation have high symptom burden. We performed an analysis of prospectively collected patient-reported outcomes(PROs) to determine characteristics predictive of poor treatment experience. METHODS: Between 2021-2023, we prospectively collected PROs from cervical cancer patients undergoing definitive chemoradiation. EORTC-QLQ-C30 and EORTC-QLQ-CX24 were completed at baseline(BL) and at the end of treatment(EOT). Poor treatment experience was defined as EOT poor health-related quality of life (HRQOL), low physical function, or significant overall symptom burden. Predictive factors analyzed included demographic, clinical, disease-specific factors, and baseline financial toxicity, depression, social function, and emotional function. ROC analysis provided appropriate predictive cut-off values. Univariable(UVA) and multivariable(MVA) linear regression analyses were performed. RESULTS: Fourty-nine patients completed BL and EOT questionnaires. Median age was 43 (range, 18-85). Most patients (59%) had stage III disease. Baseline financial toxicity ≥66.7, depression ≥66.7, social function ≤50 and emotional function ≤58 on the EORTC linear transformed scale of 0-100 were significant predictors for poor treatment experience (p≤0.04) based on ROC analysis. On MVA poor BL social function was associated with reduced EOT HRQOL (ß-9.3,_95%CI_-16.1_to_-2.6,_p<0.008), decreased physical function (ß-24.4,_95%CI_-36.3_to_-12.6,_p<0.001), and high symptom burden_(ß26.9,_95%CI_17.5_to_36.3,_p<0.001). Earlier disease stage predicted for decreased symptom burden_(ß-6.7,_95%CI_-13.1_to_-0.3,_p=0.039). BL financial toxicity was a significant predictor on UVA (p=0.001-0.044) and showed a significant interaction term on MVA (p=0.024-0.041) for all three domains of poor treatment experience. Demographic and treatment-related factors were not predictive. CONCLUSION: Cervical cancer patients with poor baseline social function or high financial toxicity were at-risk for increased symptom burden and poor HRQOL. Screening for these factors provides an opportunity for early intervention to improve treatment experience.

Artificial Intelligence-Based Radiotherapy Contouring and Planning to Improve Global Access to Cancer Care.

PURPOSE: Increased automation has been identified as one approach to improving global cancer care. The Radiation Planning Assistant (RPA) is a web-based tool offering automated radiotherapy (RT) contouring and planning to low-resource clinics. In this study, the RPA workflow and clinical acceptability were assessed by physicians around the world. METHODS: The RPA output for 75 cases was reviewed by at least three physicians; 31 radiation oncologists at 16 institutions in six countries on five continents reviewed RPA contours and plans for clinical acceptability using a 5-point Likert scale. RESULTS: For cervical cancer, RPA plans using bony landmarks were scored as usable as-is in 81% (with minor edits 93%); using soft tissue contours, plans were scored as usable as-is in 79% (with minor edits 96%). For postmastectomy breast cancer, RPA plans were scored as usable as-is in 44% (with minor edits 91%). For whole-brain treatment, RPA plans were scored as usable as-is in 67% (with minor edits 99%). For head/neck cancer, the normal tissue autocontours were acceptable as-is in 89% (with minor edits 97%). The clinical target volumes (CTVs) were acceptable as-is in 40% (with minor edits 93%). The volumetric-modulated arc therapy (VMAT) plans were acceptable as-is in 87% (with minor edits 96%). For cervical cancer, the normal tissue autocontours were acceptable as-is in 92% (with minor edits 99%). The CTVs for cervical cancer were scored as acceptable as-is in 83% (with minor edits 92%). The VMAT plans for cervical cancer were acceptable as-is in 99% (with minor edits 100%). CONCLUSION: The RPA, a web-based tool designed to improve access to high-quality RT in low-resource settings, has high rates of clinical acceptability by practicing clinicians around the world. It has significant potential for successful implementation in low-resource clinics.

A systematic review of endometrial cancer clinical research in Africa.

BACKGROUND: Women in Africa are experiencing a rising burden of endometrial cancer. Research and investment to improve treatment and outcomes are critically needed. We systematically reviewed and characterized endometrial cancer-related research within a clinically relevant context to help organize and assess existing endometrial cancer research in Africa. METHODS: According to PRISMA guidelines, we searched online databases for published endometrial cancer articles from African countries from January 1, 2011, to July 20, 2021. Based on our inclusion and exclusion criteria, independent reviewers documented the study design, country/region, human development index, focus of research, type of interventions performed, and histologic and molecular type to illustrate the breadth of research coverage in each region. RESULTS: A total of 18 research articles were included. With an average Human Development Index (HDI) in Africa of 0.536, the average HDI of the represented countries in this study was 0.709. The majority (88.9%) of prospective endometrial cancer research articles in Africa were from North Africa, with Egypt encompassing 83.3% of the papers. Most of these studies focused on endometrial cancer diagnosis. Research on the treatment of endometrial cancer is still emerging (33% of papers). Of all included articles, only 11.1% represented Sub-Saharan Africa, where the majority population of black Africans reside. CONCLUSIONS: Endometrial cancer research in Africa is extremely limited, with the majority being concentrated in African countries with higher HDIs. As the incidence of endometrial cancer rises in Sub-Saharan Africa, there is a pressing need for more prospective clinical research to tackle the growing disease burden and improve outcomes.

Implementation and Efficacy of a Large-Scale Radiation Oncology Case-Based Peer-Review Quality Program across a Multinational Cancer Network.

PURPOSE: With expansion of academic cancer center networks across geographically-dispersed sites, ensuring high-quality delivery of care across all network affiliates is essential. We report on the characteristics and efficacy of a radiation oncology peer-review quality assurance (QA) system implemented across a large-scale multinational cancer network. METHODS AND MATERIALS: Since 2014, weekly case-based peer-review QA meetings have been standard for network radiation oncologists with radiation oncology faculty at a major academic center. This radiotherapy (RT) QA program involves pre-treatment peer-review of cases by disease site, with disease-site subspecialized main campus faculty members. This virtual QA platform involves direct review of the proposed RT plan as well as supporting data, including relevant pathology and imaging studies for each patient. Network RT plans were scored as being concordant or nonconcordant based on national guidelines, institutional recommendations, and/or expert judgment when considering individual patient-specific factors for a given case. Data from January 1, 2014, through December 31, 2019, were aggregated for analysis. RESULTS: Between 2014 and 2019, across 8 network centers, a total of 16,601 RT plans underwent peer-review. The network-based peer-review case volume increased over the study period, from 958 cases in 2014 to 4,487 in 2019. A combined global nonconcordance rate of 4.5% was noted, with the highest nonconcordance rates among head-and-neck cases (11.0%). For centers that joined the network during the study period, we observed a significant decrease in the nonconcordance rate over time (3.1% average annual decrease in nonconcordance, P = 0.01); among centers that joined the network prior to the study period, nonconcordance rates remained stable over time. CONCLUSIONS: Through a standardized QA platform, network-based multinational peer-review of RT plans can be achieved. Improved concordance rates among newly added network affiliates over time are noted, suggesting a positive impact of network membership on the quality of delivered cancer care.

Comparing long-term sexual dysfunction across different uterine cancer treatment modalities.

INTRODUCTION: The objective of this study was to assess differences in long-term sexual and menopausal side effects after uterine cancer treatment among treatment modalities. METHODS AND MATERIALS: This is a cross-sectional study that examined women treated for uterine cancer from 2006-2018. Eligible women included those who underwent a hysterectomy/bilateral salpino-oophorectemy alone (HS), with brachytherapy (BT), or with external beam radiation therapy (EBRT). A noncancer cohort of women who underwent a hysterectomy/BSO for benign indications were also identified (non-CA). To compare outcomes, we utilized a shortened form of the female sexual function index (FSFI) and the menopause survey, which consists of 3 subscales: hot flashes, vaginal symptoms, and urinary symptoms. Demographic, comorbidity, and other treatment variables were collected. Survey totals were compared across cohorts using ANOVA tests and logistic regression. RESULTS: A total of 284 women completed the Menopause Survey (Non-CA 64, HS 60, BT 69, EBRT 91); 116 women reported sexual activity in the last 4 weeks and completed the FSFI (NC 32, HS 21, BT 31, EBRT 32). The mean FSFI score for the entire cohort was 11.4 (SD 4.16), which indicates poor sexual function. There was no significant difference between any cohort in the overall FSFI score (p = 0.708) or in any of the FSFI subscales (all p > 0.05). On univariate analysis, BT was associated with fewer menopausal hot flashes and vaginal symptoms compared to the non-CA cohort (p < 0.05), which did not persist on multivariable analysis. CONCLUSION: There was no significant difference in sexual dysfunction or menopausal symptoms in those treated for uterine cancer with or without adjuvant radiation. Most patients reported poor sexual function.

Management and long-term clinical outcomes of patients with stage IVA cervical cancer with bladder involvement.

OBJECTIVE: To describe the long-term outcomes of patients with stage IVA cervical cancer, a rare and deadly disease for which long-term toxicity data are scarce, to guide clinician counseling and survivorship support. METHODS: In a retrospective review of a prospectively maintained database, we identified 76 patients with stage IVA cervical cancer with biopsy- or MRI-proven bladder mucosal involvement who received definitive radiotherapy (external beam radiotherapy [EBRT] alone or EBRT plus brachytherapy) with or without chemotherapy at our institution between 2000 and 2020. We used Kaplan-Meier modeling to estimate recurrence-free survival (RFS) and overall survival (OS) and used proportional hazard modeling to identify clinical variables associated with recurrence or survival. We performed actuarial competing risk modeling for severe late toxicity (grades 3 to 5, occurring >6 months of follow-up) and vesicovaginal fistulae (VVF), censoring for pelvic recurrence and death, and made comparisons between potential predictors using Gray's test and binary logistic regression. RESULTS: The median follow-up time was 76 months (interquartile range 58-91). The median OS duration was 35 months (range, 18-not reached), and the 2- and 5-year OS rates were 53.6% and 40.9%, respectively. OS and RFS did not differ significantly between patients who received EBRT alone (N = 18) or EBRT plus brachytherapy (N = 49). Current smoking was a strong predictor of severe late toxicity, whose incidence was 14% at 2 years and 17% at 10 years. The VVF incidence was 24% at 2 years and 32% at 10 years. CONCLUSION: Patients with stage IVA cervical cancer, even those who receive EBRT alone, can have long-term survival. These patients should be followed closely for late radiation-related toxicity.

Exploratory analysis of the cervix tumoral HPV antigen-specific T-cell repertoire during chemoradiation and after brachytherapy.

BACKGROUND: Chemoradiation (CRT) may modulate the immune milieu as an in-situ vaccine. Rapid dose delivery of brachytherapy has unclear impact on T-cell repertoires. HPV-associated cancers express viral oncoproteins E6/E7, which enable tracking antigen/tumor-specific immunity during CRT. METHODS: Thirteen cervical cancer patients on a multi-institutional prospective protocol from 1/2020-1/2023 underwent standard-of-care CRT with pulsed-dose-rate brachytherapy boost (2 fractions). Cervix swabs at various timepoints underwent multiplex DNA deep sequencing of the TCR-ß/CDR3 region with immunoSEQ. Separately, HPV-responsive T-cell clones were also expanded ex vivo. Statistical analysis was via Mann-Whitney-U. RESULTS: TCR productive clonality, templates, frequency, or rearrangements increased post-brachytherapy in 8 patients. Seven patients had E6/E7-responsive evolution over CRT with increased productive templates (ranges: 1.2-50.2 fold-increase from baseline), frequency (1.2-1.7), rearrangements (1.2-40.2), and clonality (1.2-15.4). Five patients had HPV-responsive clonal expansion post-brachytherapy, without changes in HPV non-responsive clones. Epitope mapping revealed VDJ rearrangements targeting cervical cancer-associated antigens in 5 patients. The only two patients with disease recurrence lacked response in all metrics. A lack of global TCR remodeling correlated with worse recurrence-free survival, p = 0.04. CONCLUSION: CRT and brachytherapy alters the cervical cancer microenvironment to facilitate the expansion of specific T-cell populations, which may contribute to treatment efficacy.

Impact of pelvic radiation therapy in patients with early neuroendocrine cervical carcinoma and no residual disease in the radical hysterectomy specimen: a NeCTuR study.

OBJECTIVE: The impact of adjuvant pelvic radiation therapy on the rate and location of recurrences was evaluated in patients with early-stage (IA1-IB2) neuroendocrine cervical carcinoma who underwent prior conization or polypectomy with no residual disease and negative nodes in the subsequent upfront radical hysterectomy specimen. As a secondary objective, disease-free and overall survival were analyzed. METHODS: We searched the Neuroendocrine Cervical Tumor Registry (NeCTuR) to identify patients with clinical early-stage neuroendocrine cervical carcinoma with no residual disease in the specimen from upfront radical surgery and negative nodes. Patients who received pelvic radiation therapy were compared with those who did not, regardless of whether they received adjuvant chemotherapy. RESULTS: Twenty-seven patients met the inclusion criteria, representing 17% of all patients with clinical early-stage disease who underwent upfront radical hysterectomy included in the NeCTuR registry. The median age was 36.0 years (range 26.0-51.0). Six (22%) patients had stage IA, 20 (74%) had stage IB1, and one (4%) had stage IB2 disease. Seven (26%) patients received adjuvant radiation therapy and 20 (74%) did not. All seven patients in the radiation group and 14 (70%) in the no-radiation group received adjuvant chemotherapy (p=0.16). Fifteen percent (4/27) of patients had a recurrence, 14% (1/7) in the radiation group and 15% (3/20) in the no-radiation group (p=0.99). In the radiation group the recurrence was outside the pelvis, and in the no-radiation group, 67% (2/3) recurred outside the pelvis and 33% (1/3) recurred both inside and outside the pelvis (p=0.99). In the radiation group the 5-year disease-free and overall survival rates were 100% while, in the no-radiation group, the 5-year disease-free and overall survival rates were 81% (95% CI 61% to 100%) (p=0.99) and 80% (95% CI 58% to 100%) (p=0.95), respectively. CONCLUSIONS: For patients with no residual disease and negative nodes in the upfront radical hysterectomy specimen, our study did not find that pelvic radiation therapy improves survival.

Tumor-resident Lactobacillus iners confer chemoradiation resistance through lactate-induced metabolic rewiring.

Tumor microbiota can produce active metabolites that affect cancer and immune cell signaling, metabolism, and proliferation. Here, we explore tumor and gut microbiome features that affect chemoradiation response in patients with cervical cancer using a combined approach of deep microbiome sequencing, targeted bacterial culture, and in vitro assays. We identify that an obligate L-lactate-producing lactic acid bacterium found in tumors, Lactobacillus iners, is associated with decreased survival in patients, induces chemotherapy and radiation resistance in cervical cancer cells, and leads to metabolic rewiring, or alterations in multiple metabolic pathways, in tumors. Genomically similar L-lactate-producing lactic acid bacteria commensal to other body sites are also significantly associated with survival in colorectal, lung, head and neck, and skin cancers. Our findings demonstrate that lactic acid bacteria in the tumor microenvironment can alter tumor metabolism and lactate signaling pathways, causing therapeutic resistance. Lactic acid bacteria could be promising therapeutic targets across cancer types.

Radiation Planning Assistant - A Web-based Tool to Support High-quality Radiotherapy in Clinics with Limited Resources.

Access to radiotherapy worldwide is limited. The Radiation Planning Assistant (RPA) is a fully automated, web-based tool that is being developed to offer fully automated radiotherapy treatment planning tools to clinics with limited resources. The goal is to help clinical teams scale their efforts, thus reaching more patients with cancer. The user connects to the RPA via a webpage, completes a Service Request (prescription and information about the radiotherapy targets), and uploads the patient's CT image set. The RPA offers two approaches to automated planning. In one-step planning, the system uses the Service Request and CT scan to automatically generate the necessary contours and treatment plan. In two-step planning, the user reviews and edits the automatically generated contours before the RPA continues to generate a volume-modulated arc therapy plan. The final plan is downloaded from the RPA website and imported into the user's local treatment planning system, where the dose is recalculated for the locally commissioned linac; if necessary, the plan is edited prior to approval for clinical use.

Isolated vaginal recurrence in women with stage I endometrial cancer.

OBJECTIVE: To compare clinical and pathologic characteristics of women with surgical stage I endometrial carcinoma by location of first recurrence and describe characteristics of isolated vaginal recurrence. METHODS: Patients with 2009 International Federation of Obstetrics and Gynecology (FIGO) stage I endometrial carcinoma treated at two large cancer centers from 1/1/2009-12/31/2017 were identified. Sarcoma histology was excluded. Recurrences were grouped into isolated vaginal or extravaginal. Isolated vaginal recurrences were localized by anatomic location within the vaginal vault. Clinical and pathologic variables were compared with chi-square analysis, and Kaplan-Meier curves with log-rank tests. RESULTS: Of 2815 women identified, 278 (10%) experienced a recurrence. Sixty-one patients (2%) had an isolated vaginal recurrence, including 42 (69%) at the vaginal apex; 217 (8%) had an extravaginal recurrence, including 18 with a vaginal component. Median time to recurrence was 11 months (range, 1-68) for isolated vaginal recurrence and 20 months (range, 1-98) for extravaginal recurrence (P < .004). Of 960 patients (34%) treated with adjuvant vaginal brachytherapy (VBT), 156 (16%) recurred; 19 (2%) had an isolated vaginal recurrence, including 16 (84%) at the vaginal apex. Three-year PFS rates for isolated vaginal recurrence were 97.6% (SE ± 0.4%) with minimally invasive surgery (MIS) versus 96.9% (SE ± 1.1%) with open (P = .8), and for extravaginal recurrence were 91.8% (SE ± 0.7%) with MIS versus 90.8% (SE ± 1.8%) with open (P = .8). CONCLUSIONS: Isolated vaginal recurrences in stage I endometrial cancer are detected earlier than non-vaginal recurrences. Surgical approach does not appear to impact recurrence. Adjuvant VBT after primary surgery carries a 1%-2% risk of isolated vaginal apex recurrence.

PET/CT scan improves detection of metastatic disease compared with CT scan alone in women with high-grade neuroendocrine cervical cancer: a NeCTuR study.

OBJECTIVE: To determine the optimal imaging modality for women with high-grade neuroendocrine carcinoma of the cervix. METHODS: Women with high-grade neuroendocrine carcinoma of the cervix who had undergone a computed tomography (CT) scan and combined positron emission tomography with computed tomography (PET/CT) scan within 4 weeks of each other were identified from the NeCTuR Cervical Tumor Registry. One radiologist reviewed all CT scans, and another radiologist reviewed all PET/CT scans. The radiologists denoted the presence or absence of disease at multiple sites. Each radiologist was blinded to prior reports, patient outcomes, and the readings of the other radiologist. With findings on PET/CT used as the gold standard, sensitivity, specificity, and accuracy were calculated for CT scans. RESULTS: Fifty matched CT and PET/CT scans were performed in 41 patients. For detecting primary disease in the cervix, CT scan had a sensitivity of 85%, a specificity of 46%, and an accuracy of 74%. For detecting disease spread to the liver, CT scan had a sensitivity of 80%, a specificity of 89%, and an accuracy of 86%. For detecting disease spread to the lung, CT had a sensitivity of 89%, a specificity of 68%, and an accuracy of 77%. Of the 14 patients who had scans for primary disease work-up, 4 (29%) had a change in their treatment plan due to the PET/CT scan. Had treatment been prescribed on the basis of the CT scan alone, 2 patients would have been undertreated, and 2 would have been overtreated. CONCLUSION: A CT scan is inferior to a PET/CT scan in assessment of metastatic disease in women with high-grade neuroendocrine carcinoma of the cervix. Almost one-third of patients with newly diagnosed high-grade neuroendocrine cervical cancer would have received incorrect therapy had treatment planning been based solely on a CT scan. We recommend a PET/CT scan for both initial work-up and surveillance in women with high-grade neuroendocrine carcinoma of the cervix.

Identifying the optimal deep learning architecture and parameters for automatic beam aperture definition in 3D radiotherapy.

PURPOSE: Two-dimensional radiotherapy is often used to treat cervical cancer in low- and middle-income countries, but treatment planning can be challenging and time-consuming. Neural networks offer the potential to greatly decrease planning time through automation, but the impact of the wide range of hyperparameters to be set during training on model accuracy has not been exhaustively investigated. In the current study, we evaluated the effect of several convolutional neural network architectures and hyperparameters on 2D radiotherapy treatment field delineation. METHODS: Six commonly used deep learning architectures were trained to delineate four-field box apertures on digitally reconstructed radiographs for cervical cancer radiotherapy. A comprehensive search of optimal hyperparameters for all models was conducted by varying the initial learning rate, image normalization methods, and (when appropriate) convolutional kernel size, the number of learnable parameters via network depth and the number of feature maps per convolution, and nonlinear activation functions. This yielded over 1700 unique models, which were all trained until performance converged and then tested on a separate dataset. RESULTS: Of all hyperparameters, the choice of initial learning rate was most consistently significant for improved performance on the test set, with all top-performing models using learning rates of 0.0001. The optimal image normalization was not consistent across architectures. High overlap (mean Dice similarity coefficient = 0.98) and surface distance agreement (mean surface distance < 2 mm) were achieved between the treatment field apertures for all architectures using the identified best hyperparameters. Overlap Dice similarity coefficient (DSC) and distance metrics (mean surface distance and Hausdorff distance) indicated that DeepLabv3+ and D-LinkNet architectures were least sensitive to initial hyperparameter selection. CONCLUSION: DeepLabv3+ and D-LinkNet are most robust to initial hyperparameter selection. Learning rate, nonlinear activation function, and kernel size are also important hyperparameters for improving performance.

Social media use is associated with higher levels of anxiety and depression in patients with neuroendocrine carcinoma of the cervix: A NeCTuR study.

OBJECTIVE: Neuroendocrine cervical carcinoma (NECC) is rare. Educational resources are limited for NECC patients, leading many to seek information online through patient-led social networks. We sought to characterize the relationships between anxiety and depression levels and social media use among NECC patients. METHODS: Seven surveys assessing social media use, anxiety, and depression were distributed to living NECC patients enrolled in our NECC registry. The primary outcomes were associations between Social Network Time Use Scale (SONTUS) global score and Generalized Anxiety Disorder (GAD-7) and Center for Epidemiologic Studies Depression Scale (CESD) total scores. RESULTS: Eighty-eight patients enrolled; 81 who completed at least 1 survey were included. Ninety-seven percent (70/72) of patients completing SONTUS were low-to-average social media users. Seventy-four percent (53/72) of patients visited a patient-led NECC support-group page on Facebook within the past 4 weeks, and of those, 79% (42/53) reported receiving useful information. Among the patients who did not visit the page, 47% (9/19) reported that the page elicited anxiety and/or sadness. The mean GAD-7 and CES-D scores for the entire cohort were 7.3 and 18.1, respectively. The Spearman correlations between social media use and these scores were significant (GAD-7: 0.23 [p = 0.05]; CESD: 0.25 [p = 0.04]). The estimated odds ratios for moderate/severe anxiety and depression as a function of SONTUS global score were 1.26 (95% CI 1.03-1.55; p = 0.03) and 1.23 (95% CI 1.01-1.49; p = 0.04), respectively. CONCLUSIONS: NECC patients demonstrated low-to-average social media use and relatively high anxiety and depression. Increased social media use was associated with elevated anxiety and depression.

The American Brachytherapy Society and Indian Brachytherapy Society consensus statement for the establishment of high-dose-rate brachytherapy programs for gynecological malignancies in low- and middle-income countries.

PURPOSE: The global cervical cancer burden is disproportionately high in low- and middle-income countries (LMICs), and outcomes can be governed by the accessibility of appropriate screening and treatment. High-dose-rate (HDR) brachytherapy plays a central role in cervical cancer treatment, improving local control and overall survival. The American Brachytherapy Society (ABS) and Indian Brachytherapy Society (IBS) collaborated to provide this succinct consensus statement guiding the establishment of brachytherapy programs for gynecological malignancies in resource-limited settings. METHODS AND MATERIALS: ABS and IBS members with expertise in brachytherapy formulated this consensus statement based on their collective clinical experience in LMICs with varying levels of resources. RESULTS: The ABS and IBS strongly encourage the establishment of HDR brachytherapy programs for the treatment of gynecological malignancies. With the consideration of resource variability in LMICs, we present 15 minimum component requirements for the establishment of such programs. Guidance on these components, including discussion of what is considered to be essential and what is considered to be optimal, is provided. CONCLUSIONS: This ABS/IBS consensus statement can guide the successful and safe establishment of HDR brachytherapy programs for gynecological malignancies in LMICs with varying levels of resources.

Deep learning-based dose prediction to improve the plan quality of volumetric modulated arc therapy for gynecologic cancers.

BACKGROUND: In recent years, deep-learning models have been used to predict entire three-dimensional dose distributions. However, the usability of dose predictions to improve plan quality should be further investigated. PURPOSE: To develop a deep-learning model to predict high-quality dose distributions for volumetric modulated arc therapy (VMAT) plans for patients with gynecologic cancer and to evaluate their usability in driving plan quality improvements. METHODS: A total of 79 VMAT plans for the female pelvis were used to train (47 plans), validate (16 plans), and test (16 plans) 3D dense dilated U-Net models to predict 3D dose distributions. The models received the normalized CT scan, dose prescription, and target and normal tissue contours as inputs. Three models were used to predict the dose distributions for plans in the test set. A radiation oncologist specializing in the treatment of gynecologic cancers scored the test set predictions using a 5-point scale (5, acceptable as-is; 4, prefer minor edits; 3, minor edits needed; 2, major edits needed; and 1, unacceptable). The clinical plans for which the dose predictions indicated that improvements could be made were reoptimized with constraints extracted from the predictions. RESULTS: The predicted dose distributions in the test set were of comparable quality to the clinical plans. The mean voxel-wise dose difference was -0.14 ± 0.46 Gy. The percentage dose differences in the predicted target metrics of D 1 % ${D}_{1{\mathrm{\% }}}$ and D 98 % ${D}_{98{\mathrm{\% }}}$ were -1.05% ± 0.59% and 0.21% ± 0.28%, respectively. The dose differences in the predicted organ at risk mean and maximum doses were -0.30 ± 1.66 Gy and -0.42 ± 2.07 Gy, respectively. A radiation oncologist deemed all of the predicted dose distributions clinically acceptable; 12 received a score of 5, and four received a score of 4. Replanning of flagged plans (five plans) showed that the original plans could be further optimized to give dose distributions close to the predicted dose distributions. CONCLUSIONS: Deep-learning dose prediction can be used to predict high-quality and clinically acceptable dose distributions for VMAT female pelvis plans, which can then be used to identify plans that can be improved with additional optimization.

Patient Reported Outcomes for Women Undergoing Definitive Chemoradiation for Gynecologic Cancer: A Prospective Clinical Trial.

PURPOSE: Patients with gynecologic malignancies have high psychosocial and symptom burden. We report data from a prospective trial evaluating patient-reported outcome (PRO) metrics in women undergoing definitive chemoradiation with brachytherapy (BT). METHODS AND MATERIALS: A single-institution prospective trial evaluating outcomes of gynecologic cancer patients undergoing BT. Questionnaires to assess PROs at baseline, post-BT, and 60-day follow-up were collected, using European Organization for Research and Treatment of Cancer-Quality of Life Question-Core 30 and European Organization for Research and Treatment of Cancer-Quality of Life Question-Cervical Cancer Module validated metrics. Higher scores for functional scales/global health and lower scores for symptom items are favorable. European Organization for Research and Treatment of Cancer-Quality of Life Question-Core 30 mean scores were compared with a reference population. When comparing the study population between time points, medians, interquartile range, and nonparametric testing were used. RESULTS: Thirty-three patients were enrolled, and 29 (88%) completed baseline PRO metrics. Mean global health score was worse than the reference population of women with any cancer diagnosis at baseline (41 vs 59, P < .001) and decreased further at follow-up (42 vs 33, P = .005). Compared with the cervical cancer reference, our patients had significantly worse social function (62 vs 83, P = .03), financial toxicity (49 vs 10, P < .001), fatigue (49 vs 34, P = .04), nausea/vomiting (26 vs 9, P = .001), and appetite loss (36 vs 16, P = .004).The majority of patients described depression (53%), feeling less attractive (64%), life interference (66%), and/or worry (69%). At baseline, higher global health scores were associated with improved physical functioning (R20.58, P < .001), social functioning (R20.56, P < .001), and body image (R20.40, P < .001); lower scores with more symptom burden (R20.71, P < .001), financial toxicity (R20.50, P < .001), and/or sexual worry (R20.25, P = .001). CONCLUSIONS: Patients with cervical cancer have significant symptom burden and psychosocial toxicity, contributing to decreased quality of life. These data highlight the need for improved support throughout treatment for this high-risk population.

Clinicopathologic characteristics, oncologic outcomes, and prognostic factors in neuroendocrine cervical carcinoma: a Neuroendocrine Cervical Tumor Registry study.

OBJECTIVE: To evaluate clinicopathologic features and oncologic outcomes of patients with neuroendocrine cervical carcinoma in an institutional neuroendocrine cervical tumor registry. METHODS: Retrospective study including patients with neuroendocrine cervical carcinomas diagnosed between 1986 and 2022. Patients were categorized into International Federation of Gynecology and Obstetrics 2018 stage groups: early-stage (IA1-IB2, IIA1); locally advanced (IB3, IIA2-IVA); and advanced (IVB). Clinicopathologic characteristics and oncologic outcomes were evaluated by stage. Survival was compared between patients diagnosed in 1986-2003 and those diagnosed in 2004-2016. Progression-free and overall survival were estimated using the Kaplan-Meier product-limit estimator. RESULTS: A total of 453 patients was included, 133 (29%) with early-stage, 226 (50%) with locally advanced, and 94 (21%) with advanced disease. Median age was 38 years (range 21-93). Sixty-nine percent (306/453) had pure and 32% (146/453) had mixed histology. The node positivity rate (surgical or radiological detection) was 19% (21/108) for tumors ≤2 cm, 37% (39/105) for tumors >2 to ≤4 cm, and 61% (138/226) for tumors >4 cm (p<0.0001). After primary treatment, rates of complete response were 86% (115/133) for early-stage, 65% (147/226) for locally advanced, and 19% (18/94) for advanced disease (p<0.0001). The recurrence/progression rate was 43% for early-stage, 69% for locally advanced, and 80% for advanced disease (p<0.0001). Five-year progression-free and overall survival rates were 59% (95% CI 50% to 68%) and 71% (95% CI 62% to 80%), respectively, for early-stage, 28% (95% CI 22% to 35%) and 36% (95% CI 29% to 43%), respectively, for locally advanced, and 6% (95% CI 0% to 11%) and 12% (95% CI 5% to 19%), respectively, for advanced disease. For early-stage disease, the 5-year progression-free survival rate was 68% for tumors ≤2 cm and 43% for tumors >2 to ≤4 cm (p=0.0013). Receiving cisplatin/carboplatin plus etoposide (HR=0.33, 95% CI 0.17 to 0.63, p=0.0008) and receiving curative radiotherapy (HR=0.32, 95% CI 0.17 to 0.6, p=0.0004) were positive predictors of survival for patients with advanced disease. CONCLUSION: Among patients with neuroendocrine cervical carcinomas, overall survival is favorable for patients with early-stage disease. However, most patients present with locally advanced disease, and overall survival remains poor in this subgroup. For patients with advanced disease, receiving cisplatin/carboplatin plus etoposide and curative radiation therapy is associated with improved overall survival.

Addressing the Global Expertise Gap in Radiation Oncology: The Radiation Planning Assistant.

PURPOSE: Automation, including the use of artificial intelligence, has been identified as a possible opportunity to help reduce the gap in access and quality for radiotherapy and other aspects of cancer care. The Radiation Planning Assistant (RPA) project was conceived in 2015 (and funded in 2016) to use automated contouring and treatment planning algorithms to support the efforts of oncologists in low- and middle-income countries, allowing them to scale their efforts and treat more patients safely and efficiently (to increase access). DESIGN: In this review, we discuss the development of the RPA, with a particular focus on clinical acceptability and safety/risk across jurisdictions as these are important indicators for the successful future deployment of the RPA to increase radiotherapy availability and ameliorate global disparities in access to radiation oncology. RESULTS: RPA tools will be offered through a webpage, where users can upload computed tomography data sets and download automatically generated contours and treatment plans. All interfaces have been designed to maximize ease of use and minimize risk. The current version of the RPA includes automated contouring and planning for head and neck cancer, cervical cancer, breast cancer, and metastases to the brain. CONCLUSION: The RPA has been designed to bring high-quality treatment planning to more patients across the world, and it may encourage greater investment in treatment devices and other aspects of cancer treatment.

Definitive pelvic radiotherapy for patients with newly diagnosed stage IVB cervical cancer: a systematic review.

OBJECTIVE: The objective of this systematic review was to assess the oncologic outcomes of patients with International Federation of Gynecology and Obstetrics (FIGO) 2018 stage IVB cervical cancer receiving definitive pelvic radiotherapy compared with systemic chemotherapy (with or without palliative pelvic radiotherapy). METHODS: This study was registered in PROSPERO (registration number CRD42022333433). A systematic literature review was conducted following the MOOSE checklist. MEDLINE (through Ovid), Embase, and Cochrane Central Register of Controlled Trials were searched from inception until August 2022. The inclusion criteria were patients with metastatic FIGO 2018 stage IVB cervical cancer, a histologic subtype of squamous cell carcinoma, adenocarcinoma, or adenosquamous carcinoma that received definitive pelvic radiotherapy (≥45 Gy) as part of management compared with systemic chemotherapy with or without palliative (30 Gy) pelvic radiotherapy. Randomized controlled trials and observational studies with two arms of comparison were considered. RESULTS: The search identified 4653 articles; 26 studies were considered potentially eligible after removing duplicates, and 8 met the selection criteria. In total, 2424 patients were included. There were 1357 and 1067 patients in the definitive radiotherapy and chemotherapy groups, respectively. All included studies were retrospective cohort studies, and two were database population studies. The median overall survival reported in seven studies for the definitive radiotherapy arm versus systemic chemotherapy groups were 63.7 months versus 18.4 months (p<0.01), 14 months versus 16 months (p value not reported), 17.6 months versus 10.6 months (p<0.01), 32 months versus 24 months (p<0.01), 17.3 months versus 10 months (p<0.01), and 41.6 months versus 17.6 months (p<0.01), and not reached versus 19 months (p=0.13) respectively, favoring the groups that received definitive pelvic radiotherapy. The high clinical heterogeneity precluded the performance of meta-analysis, and all studies were at serious risk of bias. CONCLUSIONS: Definitive pelvic radiotherapy as part of treatment in patients with stage IVB cervical cancer may improve oncologic outcomes compared with systemic chemotherapy (with or without palliative radiotherapy); however, this is based on low-quality data. Prospective evaluation would be ideal before the adoption of this intervention in standard clinical practice.