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ObjectiveTo assess quality of life (QOL) in patients who developed lower-extremity lymphedema (LLE) after radical gynecologic cancer surgery on prospective clinical trial GOG 244.MethodsThe prospective, national, cooperative group trial GOG-0244 determined the incidence of LLE and risk factors for LLE development, as well as associated impacts on QOL, in newly diagnosed patients undergoing surgery for endometrial, cervical, or vulvar cancer from 6/4/2012-11/17/2014. Patient-reported outcome (PRO) measures of QOL (by the Functional Assessment of Cancer Therapy [FACT]), body image, sexual and vaginal function, limb function, and cancer distress were recorded at baseline (within 14 days before surgery), and at 6, 12, 18, and 24 months after surgery. Assessments of LLE symptoms and disability were completed at the time of lower limb volume measurement. A linear mixed model was applied to examine the association of PROs/QOL with a Gynecologic Cancer Lymphedema Questionnaire (GCLQ) total score incremental change ≥4 (indicative of increased LLE symptoms) from baseline, a formal diagnosis of LLE (per the GCLQ), and limb volume change (LVC) ≥10%.ResultsIn 768 evaluable patients, those with a GCLQ score change ≥4 from baseline had significantly worse QOL (p

ObjectivesTo evaluate the incidence and risk factors for lymphedema associated with surgery for gynecologic malignancies on GOG study 244.MethodsWomen undergoing a lymph node dissection for endometrial, cervical, or vulvar cancer were eligible for enrollment. Leg volume was calculated from measurements at 10-cm intervals starting 10 cm above the bottom of the heel to the inguinal crease. Measurements were obtained preoperatively and postoperatively at 4-6 weeks, and at 3-, 6-, 9-, 12-, 18-, and 24- months. Lymphedema was defined as a limb volume change (LVC) ≥10% from baseline and categorized as mild: 10-19% LVC; moderate: 20-40% LVC; or severe: >40% LVC. Risk factors associated with lymphedema were also analyzed.ResultsOf 1054 women enrolled on study, 140 were inevaluable due to inadequate measurements or eligibility criteria. This left 734 endometrial, 138 cervical, and 42 vulvar patients evaluable for LVC assessment. Median age was 61 years (range, 28-91) in the endometrial, 44 years (range, 25-83) in the cervical, and 58 years (range, 35-88) in the vulvar group. The incidence of LVC ≥10% was 34% (n = 247), 35% (n = 48), and 43% (n = 18), respectively. The peak incidence of lymphedema was at the 4-6 week assessment. Logistic regression analysis showed a decreased risk with advanced age (p = 0.0467). An exploratory analysis in the endometrial cohort showed an increased risk with a node count >8 (p = 0.033).ConclusionsFor a gynecologic cancer, LVC decreased with age greater than 65, but increased with a lymph node count greater than 8 in the endometrial cohort. There was no association with radiation or other risk factors.

ObjectiveTo explore whether patient-reported lymphedema-related symptoms, as measured by the Gynecologic Cancer Lymphedema Questionnaire (GCLQ), are associated with a patient-reported diagnosis of lymphedema of the lower extremity (LLE) and limb volume change (LVC) in patients who have undergone radical surgery, including lymphadenectomy, for endometrial, cervical, or vulvar cancer on Gynecologic Oncology Group (GOG) study 244.MethodsPatients completed the baseline and at least one post-surgery GCLQ and LVC assessment. The 20-item GCLQ measures seven symptom clusters-aching, heaviness, infection-related, numbness, physical functioning, general swelling, and limb swelling. LLE was defined as a patient self-reported LLE diagnosis on the GCLQ. LVC was measured by volume calculations based on circumferential measurements. A linear mixed model was fitted for change in symptom cluster scores and GCLQ total score and adjusted for disease sites and assessment time.ResultsOf 987 eligible patients, 894 were evaluable (endometrial, 719; cervical, 136; vulvar, 39). Of these, 14% reported an LLE diagnosis (endometrial, 11%; cervical, 18%; vulvar, 38%). Significantly more patients diagnosed versus not diagnosed with LLE reported ≥4-point increase from baseline on the GCLQ total score (p 10% was significantly associated with reported general swelling (p

PURPOSE: We sought to determine the level of concordance among surgeons assessment of residual disease (RD) and pre-treatment computed tomography (CT) findings among women who underwent optimal surgical cytoreduction for advanced stage ovarian cancer. METHODS: This is a post-trial ad hoc analysis of a phase 3 randomized clinical trial evaluating the impact of bevacizumab in primary and maintenance therapy for patients with advanced stage ovarian cancer following surgical cytoreduction. All subjects underwent imaging of the chest/abdomen/pelvis to establish a post-surgical baseline prior to the initiation of chemotherapy. Information collected on trial was utilized to compare surgeons operative assessment of RD, to pre-treatment imaging. RESULTS: Of 1873 enrolled patients, surgical outcome was described as optimal (RD≤1cm) in 639 subjects. Twelve patients were excluded as they did not have a baseline, pretreatment imaging, leaving 627 participants for analysis. The average interval from surgery to baseline scan was 26days (range: 1-109). In 251 cases (40%), the post-operative scan was discordant with surgeon assessment, demonstrating RD>1cm in size. RD>1cm was most commonly identified in the right upper quadrant (28.4%), retroperitoneal para-aortic lymph nodes (RD>1.5cm; 28.2%) and the left upper quadrant (10.7%). Patients with RD>1cm on pre-treatment CT (discordant) exhibited a significantly greater risk of disease progression (HR 1.30; 95% CI 1.08-1.56; p=0.0059). CONCLUSIONS: Among patients reported to have undergone optimal cytoreduction, 40% were found to have lesions >1cm on postoperative, pretreatment imaging. Although inflammatory changes and/or rapid tumor regrowth could account for the discordance, the impact on PFS and distribution of RD may suggest underestimation by the operating surgeon.

ObjectiveThis study aimed to describe pretreatment patient characteristics and baseline quality-of-life scores as they relate to the development of grade 3 or 4 toxicity in patients receiving chemotherapy for advanced/recurrent cervical cancer.MethodsThe study sample was drawn from Gynecologic Oncology Group protocols 179 and 204. Grade 3 or 4 toxicities were considered in 4 specified categories as follows: peripheral neuropathy, fatigue, hematological, and gastrointestinal (GI). The data variables explored included age, stage, pretreatment radiation, performance status (PS) at treatment initiation, and baseline Functional Assessment of Cancer Therapy-Cervix (FACT-Cx) score. A logistic regression model was developed with various adverse events as binary (0/1) outcomes.ResultsSix hundred seventy-three patient-reported questionnaires were used in the analyses. At baseline, pain was the most severe patient-reported symptom. Baseline line-item patient concerns did demonstrate specific correlations with the development of individual toxicities. In 401 patients who were enrolled on Gynecologic Oncology Group 204 (fatigue not measured on 179), a worse PS predicted the development of grade 3 or 4 fatigue (odds ratio, 2.78; 95% confidence interval, 1.66-4.68). Exposure to previous radiation, treatment regimen, and a worse FACT-Cx score were associated with the reporting of both grade 3 or 4 leukopenia (P < 0.05) and anemia (P < 0.0005). Performance status and treatment regimen (P < 0.05) were associated with the development of grade 3 or 4 thrombocytopenia. Age and treatment regimen (P < 0.05) were associated with the development of grade 3 or 4 neutropenia. The FACT-Cx score (P = 0.0016) predicted grade 3 or 4 GI toxicity.ConclusionsThe development of fatigue, hematological, and GI toxicity might be predictable based on factors other than treatment assignment such as age, PS, and patient-reported quality-of-life measurement.

In this article we use a latent class model (LCM) with prevalence modeled as a function of covariates to assess diagnostic test accuracy in situations where the true disease status is not observed, but observations on three or more conditionally independent diagnostic tests are available. A fast Monte Carlo EM (MCEM) algorithm with binary (disease) diagnostic data is implemented to estimate parameters of interest; namely, sensitivity, specificity, and prevalence of the disease as a function of covariates. To obtain standard errors for confidence interval construction of estimated parameters, the missing information principle is applied to adjust information matrix estimates. We compare the adjusted information matrix based standard error estimates with the bootstrap standard error estimates both obtained using the fast MCEM algorithm through an extensive Monte Carlo study. Simulation demonstrates that the adjusted information matrix approach estimates the standard error similarly with the bootstrap methods under certain scenarios. The bootstrap percentile intervals have satisfactory coverage probabilities. We then apply the LCM analysis to a real data set of 122 subjects from a Gynecologic Oncology Group (GOG) study of significant cervical lesion (S-CL) diagnosis in women with atypical glandular cells of undetermined significance (AGC) to compare the diagnostic accuracy of a histology-based evaluation, a CA-IX biomarker-based test and a human papillomavirus (HPV) DNA test.