Privacy Concerns About Personal Health Information and Fear of Unintended Use of Biospecimens Impact Donations by African American Patients.

Biospecimen donation is essential for studies of cancer prevention, early detection, and treatment. Donations from minority groups, for whom the cancer burden is high, are infrequent and inadequate for research purposes. The obstacles to donation of biospecimens by African Americans and other minority groups must be identified. Patients aged 18-85 years were surveyed based on the clinic visited (group A: GI/primary care and group B: oncology with confirmed cancer diagnosis) and analyzed as separate groups. The validated biobanking attitudes and knowledge survey (BANKS) as well as pancreatic cancer questions were used. In group A, 278/292 surveys were completed (5/6 patients participated). In group B, 54/59 surveys were completed (4/5 patients participated). There were low mean scores on the BANKS knowledge sections, specifically in regard to specimen ownership and the separation of research and medical records. Also, two major concerns limited donation: (1) fear that personal, medical, and family medical information may be stolen from the biobank; and (2) mistrust that biospecimens could be used for unintended purposes. Low knowledge about biospecimen acquisition, added to mistrust, warrant community-based, and patient education in an effort to improve attitudes, increase participation, and regain healthy therapeutic alliances.

A Predictive Model for Lymph Node Involvement with Malignancy on PET/CT in Non-Small-Cell Lung Cancer.

INTRODUCTION: Accurate assessment of lymph node (LN) involvement with malignancy is critical to staging and management of non-small-cell lung cancer. The goal of this retrospective study was to determine the tumor and imaging characteristics independently associated with malignant involvement of LNs visualized on positron emission tomography/computed tomography (PET/CT). METHODS: From 2002 to 2011, 172 patients with newly diagnosed non-small-cell lung cancer underwent PET/CT within 31 days before LN biopsy. Among these patients, 504 anatomically defined, pathology-confirmed LNs were visualized on PET/CT. Logistic regression analysis was used to determine the associations between nodal involvement with malignancy and several clinical and imaging variables, including tumor histology, tumor grade, LN risk category in relation to the primary tumor location, pathologic findings from additional biopsied LNs, interval between PET/CT and biopsy, primary tumor largest dimension, primary tumor standardized uptake value (SUVmax), LN short-axis dimension, and LN SUVmax. RESULTS: On univariate analysis, adenocarcinoma histology (p = 0.010), high LN risk category (p < 0.001), larger LN short-axis dimension (p < 0.001), and higher LN SUVmax (p < 0.001) all correlated with nodal involvement. On multivariate analysis, adenocarcinoma histology (p = 0.003), high LN risk category (p = 0.005), and higher LN SUVmax (p < 0.001) correlated with nodal involvement, whereas LN short-axis dimension was no longer statistically significant (p = 0.180). A nomogram developed for clinical application based on this analysis had excellent concordance between predicted and observed results (concordance index, 0.95). CONCLUSION: Adenocarcinoma histology, higher LN SUVmax, and higher LN risk category independently correlate with nodal involvement with malignancy and may be used in a model to accurately predict the risk of a node's involvement with malignancy.

Ratio of Lymph Node to Primary Tumor SUV on PET/CT Accurately Predicts Nodal Malignancy in Non-Small-Cell Lung Cancer.

UNLABELLED: Thoracic lymph nodes with marginally elevated maximum standardized uptake value (SUVmax) on PET/CT a diagnostic challenge in staging non-small-cell lung cancer. We evaluated the ratio of lymph node to primary tumor SUVmax (SUVN/T) in predicting nodal malignancy among 132 sampled nodes from 85 patients both a primary tumor SUVmax > 2.5 and LN SUVmax 2.0 to 6.0. SUVN/T was more accurate than SUVmax for this subset of patients. INTRODUCTION/BACKGROUND: Among non-small-cell lung cancers with appreciable functional activity, positron emission tomography/computed tomography (PET/CT) is the most accurate imaging modality for clinical staging. However, lymph nodes (LN) with marginally elevated standardized uptake value (SUV) present a diagnostic challenge. In this retrospective study, we hypothesized that normalizing the LN SUV by using the ratio of the LN to primary tumor SUVmax (SUVN/T) may be a better predictor of nodal malignancy than using SUVmax alone for nodes with low to intermediate SUV. PATIENTS AND METHODS: We identified 172 patients with newly diagnosed non-small-cell lung cancer who underwent pathologic LN staging and PET/CT within 31 days before biopsy. Receiver operating characteristic curves with area under the curve (AUC) calculations were used to evaluate SUVmax and SUVN/T for their ability to predict nodal malignancy for both the entire cohort of 504 LNs and a subset of 132 LNs from 85 patients who had both primary tumor SUVmax > 2.5 and LN SUVmax 2.0 to 6.0. RESULTS: In patients with primary tumor SUVmax > 2.5 and LN SUVmax 2.0 to 6.0, SUVN/T was significantly more accurate in predicting nodal malignancy (AUC, 0.846; 95% confidence interval, 0.775-0.917) than SUVmax (AUC, 0.653; 95% confidence interval, 0.548-0.759). The optimal cutoff value of SUVN/T to predict nodal malignancy was 0.28 (90% sensitivity, 68% specificity). Sensitivity was > 95% for SUVN/T < 0.21, whereas specificity was > 95% for SUVN/T > 0.50. CONCLUSION: The ratio of LN SUV to primary tumor SUV on PET/CT is more accurate than SUVmax when assessing nodes of low to intermediate SUV.