Longitudinal Covid-19 effects on child mental health: vulnerability and age dependent trajectories.

BACKGROUND: Few longitudinal studies have investigated the extended long-term impact of the Covid-19 pandemic for children's and adolescents' mental health, and a lack of uniform findings suggest heterogeneity in the impact of the pandemic. METHODS: This study investigated child and adolescent mental health symptoms across four occasions (pre-pandemic, initial lockdown, second lockdown, and society post reopening) using data from the Dynamics of Family Conflict study. Child and adolescent depressive vulnerability, age, and sex were explored as trajectory moderators. Children and adolescents (N = 381, Mage = 13.65, SD = 1.74) self-reported their anxiety, depression, and externalizing symptoms. Mixed effects analyses were performed to investigate trajectories across measurement occasions and interaction terms between occasion and moderator variables were included to better understand the heterogeneity in the impact of the pandemic. RESULTS: Children and adolescents reported increases in anxiety symptoms at the second lockdown (t(523) = -3.66, p < .01) and when society had reopened (t(522) = -4.90, p < .001). An increase in depression symptoms was seen when society had reopened relative to the three previous measurement occasions (ps < 0.01). Depressive vulnerability moderated the trajectory for anxiety symptoms (F(3,498) = 3.05, p = .028), while age moderated the trajectory for depression symptoms (F(3,532) = 2.97, p = .031). CONCLUSION: The delayed and negative impact on children's and adolescents' mental health underscores the need for continued monitoring, and implementation of support systems to help and mitigate further deterioration.

Impacts of urban green infrastructure on attentional functioning: insights from an fMRI study.

Multiple studies using various measures, technologies, and participant groups have found that exposure to urban green infrastructure can help alleviate the daily attentional fatigue that human experience. Although we have made significant progress in understanding the effects of exposure to urban green infrastructure on attention restoration, two important gaps in our knowledge remain. First, we do not fully understand the neural processes underlying attention restoration that exposure to urban green infrastructure elicits. Second, we are largely unaware of how typical patterns of urban green infrastructure, such as combinations of trees and bioswales, affect recovery from attentional fatigue. This knowledge is crucial to guide the design and management of urban landscapes that effectively facilitate attention restoration. To address these gaps in our knowledge, we conducted a controlled experiment in which 43 participants were randomly assigned to one of three video treatment categories: no green infrastructure (No GI), trees, or trees and bioswales. We assessed attentional functioning using functional Magnetic Resonance Imaging (fMRI) and the Sustained Attention Response Task (SART). Participants exposed to urban settings with trees exhibited improved top-down attentional functioning, as evidenced by both fMRI and SART results. Those exposed to urban settings with trees and bioswales demonstrated some attention-restorative neural activity, but without significant improvements in SART performance. Conversely, participants exposed to videos of urban environments without green infrastructure displayed increased neural vigilance, suggesting a lack of attention restoration, accompanied by reduced SART performance. These consistent findings offer empirical support for the Attention Restoration Theory, highlighting the effectiveness of tree exposure in enhancing attentional functioning. Future research should investigate the potential impact of bioswales on attention restoration.

Toward AI-supported US Triage of Women with Palpable Breast Lumps in a Low-Resource Setting.

Background Most low- and middle-income countries lack access to organized breast cancer screening, and women with lumps may wait months for diagnostic assessment. Purpose To demonstrate that artificial intelligence (AI) software applied to breast US images obtained with low-cost portable equipment and by minimally trained observers could accurately classify palpable breast masses for triage in a low-resource setting. Materials and Methods This prospective multicenter study evaluated participants with at least one palpable mass who were enrolled in a hospital in Jalisco, Mexico, from December 2017 through May 2021. Orthogonal US images were obtained first with portable US with and without calipers of any findings at the site of lump and adjacent tissue. Then women were imaged with standard-of-care (SOC) US with Breast Imaging Reporting and Data System assessments by a radiologist. After exclusions, 758 masses in 300 women were analyzable by AI, with outputs of benign, probably benign, suspicious, and malignant. Sensitivity, specificity, and area under the receiver operating characteristic curve (AUC) were determined. Results The mean patient age ± SD was 50.0 years ± 12.5 (range, 18-92 years) and mean largest lesion diameter was 13 mm ± 8 (range, 2-54 mm). Of 758 masses, 360 (47.5%) were palpable and 56 (7.4%) malignant, including six ductal carcinoma in situ. AI correctly identified 47 or 48 of 49 women (96%-98%) with cancer with either portable US or SOC US images, with AUCs of 0.91 and 0.95, respectively. One circumscribed invasive ductal carcinoma was classified as probably benign with SOC US, ipsilateral to a spiculated invasive ductal carcinoma. Of 251 women with benign masses, 168 (67%) imaged with SOC US were classified as benign or probably benign by AI, as were 96 of 251 masses (38%, P < .001) with portable US. AI performance with images obtained by a radiologist was significantly better than with images obtained by a minimally trained observer. Conclusion AI applied to portable US images of breast masses can accurately identify malignancies. Moderate specificity, which could triage 38%-67% of women with benign masses without tertiary referral, should further improve with AI and observer training with portable US. © RSNA, 2023 Supplemental material is available for this article. See also the editorial by Slanetz in this issue.

Is palpable DCIS more aggressive than screen-detected DCIS?

Background: Palpable ductal carcinoma in-situ (pDCIS) is a subset of DCIS presenting with a clinical mass. We hypothesized pDCIS would have more aggressive clinical and pathological features, and higher rates of recurrence and upgrade to invasive disease compared to screen-detected DCIS. Materials and methods: We performed a retrospective analysis of female patients (age 28-76) with DCIS on core-needle biopsy. pDCIS patients had a physician documented palpable mass prior to initial biopsy. Descriptive statistics were performed to compare groups. Results: This study included 83 patients, 26 had pDCIS and 57 had screen-detected DCIS. Mean duration of follow-up was 49.4 months. pDCIS patients had significantly larger lesions (p = 0.03) which were more frequently biopsied via ultrasound (p = 0.002). In multivariate analysis, pDCIS was associated with ultrasound guided core needle biopsy, size of DCIS >2 cm, and comedo pattern (p = 0.001, p = 0.007 and p = 0.022, respectively). 7.7 % of pDCIS cases versus 3.5 % of screen-detected cases were upgraded to invasive cancer (p = 0.59). There was no difference in local recurrence (p = 0.55) between groups. Neither group experienced regional or distant recurrence. Conclusions: pDCIS was associated with some aggressive pathologic and clinical features and was more frequently diagnosed by ultrasound guided core-needle biopsy than screen-detected DCIS. However, there was no significant difference in rate of recurrence or upgrade to invasive disease between groups. Key message: Although pDCIS was associated with some aggressive pathologic and clinical features, there was no significant difference in rate of recurrence or upgrade to invasive disease compared to screen-detected DCIS.

Preliminary validation of the Norwegian version of misophonia questionnaire (MQ-NOR).

OBJECTIVE: To perform a psychometric validation of a Norwegian version of the Misophonia Questionnaire (MQ-NOR) and to test the link between the personality trait neuroticism and misophonia assessed with the MQ-NOR. DESIGN: Participants completed online versions of the MQ-NOR on two occasions about two weeks apart and the neuroticism scale from BFI-20. STUDY SAMPLE: Two-hundred and twenty-seven (T1) and 173 (T2) participants with self-reported misophonia. RESULTS: The MQ-NOR was found to comprise two factors: Symptom Scale and Emotions and Behaviours Scale. Overall, the MQ-NOR evidenced good internal consistency and test-retest reliability. Regression analyses supported a positive relationship between misophonia and neuroticism that was moderated by participant age, but not gender. CONCLUSION: The MQ-NOR demonstrates good psychometric properties, but until more extensively validated, it is cautiously recommended for use by clinicians in Norway to assessing misophonia. Future validation studies should be carried out.

Green spaces, especially nearby forest, may reduce the SARS-CoV-2 infection rate: A nationwide study in the United States.

The coronavirus pandemic is an ongoing global crisis that has profoundly harmed public health. Although studies found exposure to green spaces can provide multiple health benefits, the relationship between exposure to green spaces and the SARS-CoV-2 infection rate is unclear. This is a critical knowledge gap for research and practice. In this study, we examined the relationship between total green space, seven types of green space, and a year of SARS-CoV-2 infection data across 3,108 counties in the contiguous United States, after controlling for spatial autocorrelation and multiple types of covariates. First, we examined the association between total green space and SARS-CoV-2 infection rate. Next, we examined the association between different types of green space and SARS-CoV-2 infection rate. Then, we examined forest-infection rate association across five time periods and five urbanicity levels. Lastly, we examined the association between infection rate and population-weighted exposure to forest at varying buffer distances (100 m to 4 km). We found that total green space was negative associated with the SARS-CoV-2 infection rate. Furthermore, two forest variables (forest outside park and forest inside park) had the strongest negative association with the infection rate, while open space variables had mixed associations with the infection rate. Forest outside park was more effective than forest inside park. The optimal buffer distances associated with lowest infection rate are within 1,200 m for forest outside park and within 600 m for forest inside park. Altogether, the findings suggest that green spaces, especially nearby forest, may significantly mitigate risk of SARS-CoV-2 infection.

Imaging of Benign and Malignant Breast Lesions Using Contrast-Enhanced Ultrasound: A Pictorial Essay.

ABSTRACT: Contrast-enhanced ultrasound is a promising noninvasive imaging technique for evaluating benign and malignant breast lesions, as contrast provides information about perfusion and microvasculature. Contrast-enhanced ultrasound is currently off-label use in the breast in the United States, but its clinical and investigational use in breast imaging is gaining popularity. It is important for radiologists to be familiar with the imaging appearances of benign and malignant breast masses using contrast-enhanced ultrasound. This pictorial essay illustrates enhancement patterns of various breast masses from our own experience. Pathologies include subtypes of invasive breast cancer, fibroadenomas, papillary lesions, fibrocystic change, and inflammatory processes. Contrast-enhanced ultrasound pitfalls and limitations are discussed.

Characterizing breast masses using an integrative framework of machine learning and CEUS-based radiomics.

AIMS: We evaluated the performance of contrast-enhanced ultrasound (CEUS) based on radiomics analysis to distinguish benign from malignant breast masses. METHODS: 131 women with suspicious breast masses (BI-RADS 4a, 4b, or 4c) who underwent CEUS examinations (using intravenous injection of perflutren lipid microsphere or sulfur hexafluoride lipid-type A microspheres) prior to ultrasound-guided biopsies were retrospectively identified. Post biopsy pathology showed 115 benign and 16 malignant masses. From the cine clip of the CEUS exams obtained using the built-in GE scanner software, breast masses and adjacent normal tissue were then manually segmented using the ImageJ software. One frame representing each of the four phases: precontrast, early, peak, and delay enhancement were selected post segmentation from each CEUS clip. 112 radiomic metrics were extracted from each segmented tissue normalized breast mass using custom Matlab® code. Linear and nonlinear machine learning (ML) methods were used to build the prediction model to distinguish benign from malignant masses. tenfold cross-validation evaluated model performance. Area under the curve (AUC) was used to quantify prediction accuracy. RESULTS: Univariate analysis found 35 (38.5%) radiomic variables with p < 0.05 in differentiating between benign from malignant masses. No feature selection was performed. Predictive models based on AdaBoost reported an AUC = 0.72 95% CI (0.56, 0.89), followed by Random Forest with an AUC = 0.71 95% CI (0.56, 0.87). CONCLUSIONS: CEUS based texture metrics can distinguish between benign and malignant breast masses, which can, in turn, lead to reduced unnecessary breast biopsies.

The impact of school closure and social isolation on children in vulnerable families during COVID-19: a focus on children's reactions.

For children the consequences of the COVID-19 public health measures may have long-term effects into adulthood. By exploring children's reactions more broadly, we are better placed to understanding the breadth of implications of home school and social isolation under COVID-19. The present study explored how COVID-19 related variables, namely, home school experience, child perceived family stress and instability, screen time use, missing friends and worry about virus infection are associated with children's emotional, somatic/cognitive and worry reactions, respectively. A total of 442 children (M = 11.43 years, SD = 2.59) from the longitudinal FamilieForSK-study participated and a series of hierarchical linear regression models were applied controlling for background variables including children's psychological vulnerability. Results showed significant associations between all COVID-19 related predictors, except screen time use, and the three outcomes. Family stress and instability had the strongest effects with standardised betas ranging from .356 to .555 and collectively, predictors explained between 20.7 and 44.1% of variance in outcomes. Furthermore, several associations were moderated by age and older children were more negatively impacted (i.e., higher level of reported reactions). The present study provides more conclusive evidence of the effects of home school and social isolation under COVID-19 on children. It also exemplifies the importance of focusing on children's reactions more broadly, as there was evidence that children on average had fewer emotional reactions compared to before the pandemic.

Breast Density Legislation Impact on Breast Cancer Screening and Risk Assessment.

OBJECTIVE: To evaluate breast density notification legislation (BDNL) on breast imaging practice patterns, risk assessment, and supplemental screening. METHODS: A 20-question anonymous web-based survey was administered to practicing Society of Breast Imaging radiologists in the U.S. between February and April 2021 regarding breast cancer risk assessment, supplemental screening, and density measurements. Results were compared between facilities with and without BDNL using the two-sided Fisher's exact test. RESULTS: One hundred and ninety-seven radiologists from 41 U.S. states, with (187/197, 95%) or without (10/197, 5%) BDNL, responded. Fifty-seven percent (113/197) performed breast cancer risk assessment, and 93% (183/197) offered supplemental screening for women with dense breasts. Between facilities with or without BDNL, there was no significant difference in whether risk assessment was (P = 0.19) or was not performed (P = 0.20). There was no significant difference in supplemental screening types (P > 0.05) between BDNL and non-BDNL facilities. Thirty-five percent (69/197) of facilities offered no supplemental screening studies, and 25% (49/197) had no future plans to offer supplemental screening. A statistically significant greater proportion of non-BDNL facilities offered no supplemental screening (P < 0.03) and had no plans to offer supplemental screening compared to BDNL facilities (P < 0.02). CONCLUSION: Facilities in BDNL states often offer supplemental screening compared to facilities in non-BDNL states. Compared to BDNL facilities, a statistically significant proportion of non-BDNL facilities had no supplemental screening nor plans for implementation. Our data suggest that upcoming federal BDNL will impact how supplemental screening is addressed in currently non-BDNL states.

Multicenter Study of Whole Breast Stiffness Imaging by Ultrasound Tomography (SoftVue) for Characterization of Breast Tissues and Masses.

We evaluated whole breast stiffness imaging by SoftVue ultrasound tomography (UST), extracted from the bulk modulus, to volumetrically map differences in breast tissues and masses. A total 206 women with either palpable or mammographically/sonographically visible masses underwent UST scanning prior to biopsy as part of a prospective, HIPAA-compliant multicenter cohort study. The volumetric data sets comprised 298 masses (78 cancers, 105 fibroadenomas, 91 cysts and 24 other benign) in 239 breasts. All breast tissues were segmented into six categories, using sound speed to separate fat from fibroglandular tissues, and then subgrouped by stiffness into soft, intermediate and hard components. Ninety percent of women had mammographically dense breasts but only 11.2% of their total breast volume showed hard components while 69% of fibroglandular tissues were softer. All smaller masses (<1.5 cm) showed a greater percentage of hard components than their corresponding larger masses (p < 0.001). Cancers had significantly greater mean stiffness indices and lower mean homogeneity of stiffness than benign masses (p < 0.05). SoftVue stiffness imaging demonstrated small stiff masses, mainly due to cancers, amongst predominantly soft breast tissues. Quantitative stiffness mapping of the whole breast and underlying masses may have implications for screening of women with dense breasts, cancer risk evaluations, chemoprevention and treatment monitoring.

Accuracy of contrast-enhanced spectral mammography compared with MRI for invasive breast cancers: Prospective study in population of predominantly underrepresented minorities.

OBJECTIVES: This prospective study compares contrast-enhanced spectral mammography (CESM) with contrast-enhanced breast MRI in assessing the extent of newly diagnosed breast cancer in a multiethnic cohort. METHODS: This study includes 41 patients with invasive breast cancer detected by mammography or conventional ultrasound imaging from May 2017 to March 2020. CESM and MRI scans were performed prior to any treatment. Results are compared with each other and to histopathology. Detection of the malignant lesion was assessed by sensitivity, specificity, PPV, NPV. Consistency of malignant tumor size measurement was compared between modalities using Intraclass Correlation Coefficient (ICC). RESULTS: In a multiethnic cohort with over 65% Hispanic and African-American women, the sensitivity of detecting malignant lesions for CESM is 93.1% (77.23%, 99.15%) and MRI is 96.55% (82.24%, 99.91%). The PPV for CESM 96.43% (81.65%, 99.91%) is better compared to MRI 82.35% (65.47%, 93.24%). CESM is as effective as MRI in evaluating index cancers and multifocal/multicentric/contralateral disease. CESM has greater specificity and PPV since MRI tends to overcall benign lesions. There is a good agreement of tumor size between CESM to surgery and MRI to surgery with ICC of 0.85 (95% CI 0.69, 0.93) and 0.87 (95% CI 0.74, 0.94), respectively. There is good agreement of malignancy detection between CESM and MRI with Kappa of 0.74 (95% CI 0.52, 0.95). CONCLUSIONS: CESM is an effective imaging modality for evaluating the extent of disease in newly diagnosed invasive breast cancers and a good alternative to MRI in a multiethnic population.

Effects of Covid-19 lockdown on parental functioning in vulnerable families.

Objective: The aim of this study was to increase the knowledge about how the initial Covid-19 lockdown influenced parental functioning in vulnerable families. Background: The Covid-19 pandemic has caused major changes to family life. Using a natural experiment design can potentially adjudicate on former inconclusive findings about the effects of lockdown on parental functioning in vulnerable families. Method: Responses from parents in a sample of potentially vulnerable families in Norway were divided into a lockdown group if participating at baseline and during the initial Covid-19 lockdown (n = 820 responses) or into a control group if participating at baseline and before lockdown (n = 1368 responses). Mixed model regression analyses were used to mimic a wait-list design investigating direct lockdown effects on mental health, parenting stress, and three aspects of interparental conflicts, as well as moderation effects. Results: The lockdown group showed significantly higher levels of parenting stress compared with the control group, but no aversive lockdown effect on mental health or destructive conflicts were found. In fact, decreased levels of verbal aggression and child involvement in conflict were found during lockdown among parents living apart. Pre-existing financial problems and conflict levels, age of youngest child, and parent gender did not moderate the lockdown effects. Conclusion: The initial lockdown did not seem to adversely affect parental functioning, beyond increased parenting stress. Caution should be taken when generalizing the findings as child effects and long-term lockdown effects were not investigated.

Breast MRI during Neoadjuvant Chemotherapy: Lack of Background Parenchymal Enhancement Suppression and Inferior Treatment Response.

Background Suppression of background parenchymal enhancement (BPE) is commonly observed after neoadjuvant chemotherapy (NAC) at contrast-enhanced breast MRI. It was hypothesized that nonsuppressed BPE may be associated with inferior response to NAC. Purpose To investigate the relationship between lack of BPE suppression and pathologic response. Materials and Methods A retrospective review was performed for women with menopausal status data who were treated for breast cancer by one of 10 drug arms (standard NAC with or without experimental agents) between May 2010 and November 2016 in the Investigation of Serial Studies to Predict Your Therapeutic Response with Imaging and Molecular Analysis 2, or I-SPY 2 TRIAL (NCT01042379). Patients underwent MRI at four points: before treatment (T0), early treatment (T1), interregimen (T2), and before surgery (T3). BPE was quantitatively measured by using automated fibroglandular tissue segmentation. To test the hypothesis effectively, a subset of examinations with BPE with high-quality segmentation was selected. BPE change from T0 was defined as suppressed or nonsuppressed for each point. The Fisher exact test and the Z tests of proportions with Yates continuity correction were used to examine the relationship between BPE suppression and pathologic complete response (pCR) in hormone receptor (HR)-positive and HR-negative cohorts. Results A total of 3528 MRI scans from 882 patients (mean age, 48 years ± 10 [standard deviation]) were reviewed and the subset of patients with high-quality BPE segmentation was determined (T1, 433 patients; T2, 396 patients; T3, 380 patients). In the HR-positive cohort, an association between lack of BPE suppression and lower pCR rate was detected at T2 (nonsuppressed vs suppressed, 11.8% [six of 51] vs 28.9% [50 of 173]; difference, 17.1% [95% CI: 4.7, 29.5]; P = .02) and T3 (nonsuppressed vs suppressed, 5.3% [two of 38] vs 27.4% [48 of 175]; difference, 22.2% [95% CI: 10.9, 33.5]; P = .003). In the HR-negative cohort, patients with nonsuppressed BPE had lower estimated pCR rate at all points, but the P values for the association were all greater than .05. Conclusions In hormone receptor-positive breast cancer, lack of background parenchymal enhancement suppression may indicate inferior treatment response. © RSNA, 2021 Online supplemental material is available for this article. See also the editorial by Philpotts in this issue.

Addressing ethnic disparities in imaging utilization and clinical outcomes for COVID-19.

PURPOSE: Racial and ethnic disparities have exacerbated during the COVID-19 pandemic as the healthcare system is overwhelmed. While Hispanics are disproportionately affected by COVID-19, little is known about ethnic disparities in the hospital settings. This study investigates imaging utilization and clinical outcomes between Hispanic and non-Hispanic COVID-19 patients in the Emergency Department (ED) and during hospitalization. METHODS: Through retrospective chart review, we included 331 symptomatic COVID-19 patients (mean age 53.2 years) at a metropolitan healthcare system from March to June 2020. Poisson regression was used to compare diagnostic imaging utilization and clinical outcomes between Hispanic and non-Hispanic patients. RESULTS: After adjusting for confounders, no statistically significant difference was found between Hispanic and non-Hispanic patients for the number of weekly chest X-rays. Results were categorized into four clinical outcomes: ED management (0.16 ± 0.05 vs. 0.14 ± 0.8, p:0.79); requiring inpatient management (1.31 ± 0.11 vs. 1.46 ± 0.16, p:0.43); ICU admission without invasive ventilation (1.4 ± 0.17 vs. 1.35 ± 0.26, p:0.86); and ICU admission and ventilator support (3.29 ± 0.22 vs. 3.59 ± 0.37, p:0.38). There were no statistically significant relative differences in adjusted prevalence rate between ethnic groups for all clinical outcomes (p > 0.05). There was a statistically significant longer adjusted length of stay (days) in non-Hispanics for two subcohorts: inpatient management (8.16 ± 0.31 vs. 9.72 ± 0.5, p < 0.01) and ICU admission without invasive ventilation (10.39 ± 0.57 vs. 13.45 ± 1.13, p < 0.01). CONCLUSIONS: For Hispanic and non-Hispanic COVID-19 patients in the ED or hospitalized, there were no statistically significant differences in imaging utilization and clinical outcomes.

Agreement between child and parent reports of children's reactions to interparental conflict.

Children's perception of interparental conflict is still a relatively unexplored research area. The aim of this study was twofold. First, we wanted to gain more knowledge about the relationship between child and parent reports of children's reactions to interparental conflict across three dimensions: Emotional Reactions, Involvement Reactions, and Avoidance Reactions. Second, we sought to clarify whether disagreement between child and parent reports was related to the interparental conflict severity. The sample consisted of 377 dyads/triads of mothers, fathers, and 11-year-old children (53.2% girls) recruited from the Norwegian Mother, Father, and Child Cohort Study. Paired sample t-tests and correlation analyses were used to investigate the absolute and relative agreement between child and both parents' perceptions. Polynomial regression analyses with response surface plots were used to investigate whether absolute agreement between child and mother and father reports, respectively, was related to the interparental conflict severity. Overall, children reported significantly higher levels of Emotional, Involvement, and Avoidance Reactions than did both parents, and the correlations between the reports were low to moderate. The absolute agreement between child and parent reports was related to the severity of interparental conflict for Emotional and Avoidance Reactions in the sense that larger discrepancy was related to less interparental conflict severity. The findings indicate that parents do not fully grasp children's reactions related to interparental conflict. However, contrary to our hypothesis, when interparental conflict was more severe, parents' responses were more similar to children's responses. The importance of acknowledging children's self-reported reactions is discussed along with clinical implications. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Predicting breast cancer response to neoadjuvant treatment using multi-feature MRI: results from the I-SPY 2 TRIAL.

Dynamic contrast-enhanced (DCE) MRI provides both morphological and functional information regarding breast tumor response to neoadjuvant chemotherapy (NAC). The purpose of this retrospective study is to test if prediction models combining multiple MRI features outperform models with single features. Four features were quantitatively calculated in each MRI exam: functional tumor volume, longest diameter, sphericity, and contralateral background parenchymal enhancement. Logistic regression analysis was used to study the relationship between MRI variables and pathologic complete response (pCR). Predictive performance was estimated using the area under the receiver operating characteristic curve (AUC). The full cohort was stratified by hormone receptor (HR) and human epidermal growth factor receptor 2 (HER2) status (positive or negative). A total of 384 patients (median age: 49 y/o) were included. Results showed analysis with combined features achieved higher AUCs than analysis with any feature alone. AUCs estimated for the combined versus highest AUCs among single features were 0.81 (95% confidence interval [CI]: 0.76, 0.86) versus 0.79 (95% CI: 0.73, 0.85) in the full cohort, 0.83 (95% CI: 0.77, 0.92) versus 0.73 (95% CI: 0.61, 0.84) in HR-positive/HER2-negative, 0.88 (95% CI: 0.79, 0.97) versus 0.78 (95% CI: 0.63, 0.89) in HR-positive/HER2-positive, 0.83 (95% CI not available) versus 0.75 (95% CI: 0.46, 0.81) in HR-negative/HER2-positive, and 0.82 (95% CI: 0.74, 0.91) versus 0.75 (95% CI: 0.64, 0.83) in triple negatives. Multi-feature MRI analysis improved pCR prediction over analysis of any individual feature that we examined. Additionally, the improvements in prediction were more notable when analysis was conducted according to cancer subtype.

Connections-between Daily Greenness Exposure and Health Outcomes.

A compelling body of research demonstrates that exposure to nature, especially trees, is beneficial to human health. We know little, however, about the extent to which understory vegetation that does not reach the height of trees, impacts human health. An additional gap in our knowledge concerns the extent to which daily variations in exposure to various forms of vegetation are related to human health outcomes. Many previous findings describing such connections were achieved in laboratory settings or through semi-controlled experiments, which do not reflect the dynamic variations of people's daily exposure to nature. Thus, we conducted an online survey to address these questions. We used the National Land Cover Dataset 2011 and Google Street View images to estimate participants' daily exposure to nature, and two standard questionnaires (General Health SF-12 and the Perceived Stress Scale) to assess health. Results show that greater exposure to trees in daily life is associated with better health outcomes. Specifically, higher neighborhood concentrations of tree canopy are related to better physical health, overall health and an increased capacity to control stress. In contrast, the results exploring the health associations of understory vegetation were inconsistent. In most cases, understory vegetation had a negative relationship with stress and mental health measures.

Factors associated with MRI detection of occult lesions in newly diagnosed breast cancers.

BACKGROUND: The use of preoperative magnetic resonance imaging (MRI) for newly diagnosed breast cancer remains controversial. We examined factors associated with detection of occult multicentric, multifocal, and contralateral malignant lesions only seen by MRI. METHODS: We performed a retrospective analysis of consecutive patients undergoing preoperative MRI for breast cancer. Clinicopathologic data were assessed regarding the findings of multifocality, multicentricity, and the presence of contralateral lesions. We analyzed the association of factors with these findings on MRI. RESULTS: Of 857 patients undergoing MRI, 770 patients met inclusion criteria. Mean age was 54.7 years. Biopsy-proven detection rates by MRI for multifocal, multicentric, and contralateral cancers were 6.2% (48 of 770), 1.9% (15 of 770) and 3.1% (24 of 770), respectively. African American race and heterogeneously or extremely dense mammographic density were associated with multifocal cancers on MRI. Larger lesion size and mammographic density were associated with multicentric cancers. Invasive lobular carcinoma (ILC) and progesterone receptor (PR)-positivity were associated with contralateral cancers. CONCLUSIONS: African American race, heterogeneously or extremely dense mammographic density, ILC, and PR-positivity were associated with additional biopsy-proven cancers based on MRI. These factors should be considered when assessing the clinical utility of preoperative breast MRI.

A preliminary validation of a Norwegian version of the Tinnitus Sample Case History Questionnaire.

At present there is no validated tinnitus questionnaire available in Norway. The aim of the present study was to psychometrically evaluate and report on a Norwegian translation of the Tinnitus Sample Case History Questionnaire (TSCHQ). Furthermore, the results were compared to those of a recent Swedish validation of TSCHQ. More than two hundred (N = 218) participants with tinnitus participated in the study, of which 78% completed the Norwegian TSCHQ on two occasions so that test-retest reliability could be evaluated. Results show that the Norwegian TSCHQ has acceptable test-retest reliability with the exception of 10 items, which is slightly better than the recent Swedish validation of TSCHQ. At the item level, there were both similarities and differences between the Norwegian and Swedish validation studies. It is concluded that the Norwegian TSCHQ is an appropriate measure of patients' history and experience of tinnitus, and while we recommend further validation of the Norwegian TSCHQ, we encourage Norwegian researchers and clinicians to use the Norwegian translation of TSCHQ.