Corrigendum to "Improving adherence to endocrine hormonal therapy among breast cancer patients: Study protocol for a randomized controlled trial" [Contemp. Clin. Trials Commun. 12 (2018) 109-115].

[This corrects the article DOI: 10.1016/j.conctc.2018.10.001.].

Improving adherence to endocrine hormonal therapy among breast cancer patients: Study protocol for a randomized controlled trial.

Adjuvant endocrine hormonal therapy (EHT) is highly effective and appropriate for nearly all breast cancer patients with hormone receptor-positive tumors, which represent 75% of all breast cancer diagnoses. Long-term use of EHT reduces recurrence rates and nearly halves the risk of death during the second decade after diagnosis. Despite the proven benefits, about 33% of women receiving EHT do not take their medication as prescribed. This causes an increase in the risk for recurrence and death. To promote adherence to EHT among breast cancer patients, this study will develop and pilot-test an intervention consisting of 1) a bilingual, culturally tailored, personalized, interactive smartphone application (app); and 2) support from a patient navigator. The control group will receive usual care. This 2-group randomized control trial will recruit 120 breast cancer patients receiving EHT at the Mays Cancer Center at UT Health San Antonio. The two-year study will have 3-time assessments (baseline, 3 and 6 months). This theory-based intervention will empower patients' self-monitoring and management. It will facilitate patient education, identification/reporting of side effects, delivery of self-care advice, and simplify communication between the patient and the oncology team. The ultimate goal of this innovative multi-communication intervention is to improve overall survival and life expectancy, enhance quality of life, reduce recurrence, and decrease healthcare cost. The anticipated outcome is a scalable, evidence-based, and easily disseminated intervention with potentially broad use to patients using EHT and other oral anticancer agents.

Application of Elliptic Fourier analysis to describe the lamina cribrosa shape with age and intraocular pressure.

The lamina cribrosa (LC) plays an important biomechanical role in the optic nerve head (ONH). We developed a statistical shape model of the LC and tested if the shape varies with age or IOP. The ONHs of 18 donor eyes (47-91 years, mean 76 years) fixed at either 5 or 50 mmHg of IOP were sectioned, stained, and imaged under a microscope. A 3D model of each ONH was reconstructed and the outline of the vertical sagittal section closest to the geometric center of the LC extracted. The outline shape was described using Elliptic Fourier analysis, and principal components analysis (PCA) employed to identify the primary modes of LC shape variation. Linear mixed effect models were used to determine if the shape measurements were associated with age or IOP. The analysis revealed several modes of shape variation: thickness and depth directly (PC 1), or inversely (PC 2) related, and superior-inferior asymmetry (PC 3). Only PC 3 was associated with IOP, with higher IOP correlating with greater curvature of the LC superiorly compared to inferiorly. Our analysis enabled a concise and complete characterization of LC shape, revealing variations without defining them a priori. No association between LC shape and age was found for the relatively old population studied. Superior-inferior asymmetry of LC shape was associated with IOP, with more asymmetry at higher IOP. Increased IOP was not associated with LC thickness or depth.

Increased fusiform area activation in schizophrenia during processing of spatial frequency-degraded faces, as revealed by fMRI.

BACKGROUND: People with schizophrenia demonstrate perceptual organization impairments, and these are thought to contribute to their face processing difficulties. METHOD: We examined the neural substrates of emotionally neutral face processing in schizophrenia by investigating neural activity under three stimulus conditions: faces characterized by the full spectrum of spatial frequencies, faces with low spatial frequency information removed [high spatial frequency (HSF) condition], and faces with high spatial frequency information removed [low spatial frequency (LSF) condition]. Face perception in the HSF condition is more reliant on local feature processing whereas perception in the LSF condition requires greater reliance on global form processing. Past studies of perceptual organization in schizophrenia indicate that patients perform relatively more poorly with degraded stimuli but also that, when global information is absent, patients may perform better than controls because of their relatively increased ability to initially process individual features. Therefore, we hypothesized that people with schizophrenia (n=14) would demonstrate greater face processing difficulties than controls (n=13) in the LSF condition, whereas they would demonstrate a smaller difference or superior performance in the HSF condition. RESULTS: In a gender-discrimination task, behavioral data indicated high levels of accuracy for both groups, with a trend toward an interaction involving higher patient performance in the HSF condition and poorer patient performance in the LSF condition. Patients demonstrated greater activity in the fusiform gyrus compared to controls in both degraded conditions. CONCLUSIONS: These data suggest that impairments in basic integration abilities may be compensated for by relatively increased activity in this region.

Legislative and legal restrictions on labeling information regarding the use of recombinant bovine somatotropin.

With the issuance of the "Interim Guidance on the Voluntary Labeling of Milk and Milk Products from Cows That Have Not Been Treated with Recombinant Bovine Somatotropin" by the FDA in February 1994, the Monsanto Company, Inc. (St. Louis, MO) commenced the commercial sale of Posilac. Because of farmer and consumer concerns, marketing organizations, state administrative agencies, and state legislatures responded with various voluntary and mandatory regulations and rules for labeling milk and milk products with information regarding the use of recombinant bST. A regulatory labeling framework that varies from state to state has caused problems for some marketing organizations. Individuals and organizations may now turn to the judicial arena as an avenue to challenge unfavorable developments.

Accumulation of indium-111-labeled human low density lipoprotein in the rabbit aorta: Implications for nuclear imaging of vascular lesions.

Nuclear imaging of atheromata must distinguish lesions from both blood pool and normal arterial tissue. We have examined spatial and temporal variations of indium-111-labeled human low density lipoprotein (LDL) accumulation in rabbit aortas. LDL-derived In-111 activity was time-independent in lesion-resistant regions of aortas from normal and hypercholesterolemic animals (mean 2.9 × 10(-6) percent injected activity per milligram tissue [%IA/mg]) and in lesion-prone regions of normal aortas (mean 7.1 × 10(-6) %IA/mg). In contrast, activity in sudanophilic lesions of hypercholesterolemic rabbit aortas reached a peak of 31 × 10(-6) %IA/mg at 92 hours postinjection. The mean ratio between activity in lesions versus lesion-resistant regions described a broad convex curve with minima of 4:1 at 14 hours and 136 hours and a peak of 14:1 measured at 72 hours postinjection. The mean ratio between In-111 in lesions and blood followed a sigmoid curve, rising exponentially from 1:25 at 14 hours to 1:3 by 72 hours postinjection. We conclude that optimal signal-to-noise ratios for monitoring atheroma-associated LDL-derived radioactivity occur late, not before about 3 days postinjection. Therefore, LDL labeled with In-111 or even longer-lived radionuclides holds the greatest promise for effective clinical nuclear imaging of atherosclerosis.

Nuclear imaging analysis of human low-density lipoprotein biodistribution in rabbits and monkeys.

We have evaluated the biodistribution of human low-density lipoprotein (LDL) radiolabeled with 99mTc or with 123I-tyramine cellobiose in rabbits and in rhesus monkeys. Biodistribution was assessed after intravenous injection of radiolabeled LDL by quantitative analysis of scintigrams, counting of excreta, and counting of tissues at necropsy. Both rabbits and monkeys showed lower renal uptake (123I:99mTc approximately 1:3, as regional percent injected activity corrected for physical decay) and excretion (1:2 to 1:4), but higher hepatic (1.5:1 to 2:1) and cardiac (1.7:1 to 4:1) uptake of 123I than of 99mTc. Adrenals were visualized in normolipemic animals with 123I-tyramine cellobiose-LDL but not with 99mTc-LDL. Hyperlipemic animals showed increased cardiac (up to six-fold) and decreased hepatic activity (by 50%-60%) of both radionuclides. We conclude that 123I-tyramine cellobiose-LDL is better suited than 99mTc-LDL for dynamic studies of LDL metabolism in vivo.

Multiparameter extrapolation of biodistribution data between species.

Values of an inaccessible biological parameter in man may be predicted from values measured in animals by correlating with a parameter accessible in both species, such as body weight, energy production, excretion rate, etc. Predicting toxic effects, from environmental chemicals, of therapeutic doses for drug administration and of radiation absorbed dose from medical and environmental radioactivity depends on the rationalization of relationships between concentration and time when scaling to humans from animal data. For example, the retention of 99mTc, injected intravenously as pertechnetate, reaches 10% in the mouse at about 1 d, but this level occurs in humans at about 7 d. Making a simultaneous transformation between two species for the concentration and time variables by using a method of least-squares fitting, we have derived a series of transformation factors for several species. When correlated with a biological parameter such as body weight, these factors can be used to yield predicted values that are in good agreement with measured values. This system may be used with any related variables, making it useful for predicting other types of biological data.