Comparison of technical parameters and women's experience between self-compression and standard compression modes in mammography screening: a single-blind randomized clinical trial.

OBJECTIVES: We compared the compression force, breast thickness, and glandular dose, as well as the severity of discomfort and women's experience between the patient-assisted compression (PAC) and standard compression (SC) modes. MATERIALS AND METHODS: We conducted a prospective randomized controlled study at Hospital del Mar in Barcelona, Spain. We included 448 asymptomatic women aged 50 to 69 years old, attending their screening round from December 2017 to December 2019. Mammograms included the two bilateral views. In each woman, one breast was studied with SC and the other with PAC. The mode used in each breast was selected following a randomized list. Compression force, breast thickness, and average glandular dose were obtained for each of the 1792 images. We also recorded the degree of discomfort and women's experience, after mammogram acquisitions, using a predefined survey. RESULTS: Higher compression forces were obtained with PAC than with SC (99.27 N vs 83.25 N, p < 0.001). Breast thickness mode (56.11 mm vs 57.52 mm, p = 0.015) and glandular dose (1.34 mGy vs 1.37 mGy, p = 0.018) were lower in PAC. The discomfort score was slightly higher with PAC (mean 3.94 vs 3.69, p = 0.042), but in the satisfaction survey, more women reported that PAC caused less discomfort. Additionally, 63.2% of women (289/448) preferred PAC. CONCLUSION: PAC achieved higher compression forces without impairing the other technical imaging parameters and enhanced women's experience of screening mammography. We believe there were no clinically significant differences in the severity of discomfort between the two modes. KEY POINTS: • Self-compression allows higher compression forces than the standard compression mode. • Self-compression does not affect technical imaging parameters. • Self-compression improved women's experience of screening mammography when standard compression was used on one breast and self-compression on the other.

Does the patient-assisted compression mode affect the mammography quality? A within-woman randomized controlled trial.

OBJECTIVES: Evaluate the image quality of a mammography screening device using the patient-assisted compression (PAC) compared with the standard compression (SC) mode. METHODS: This prospective within-woman, randomized controlled trial was conducted between September 2017 and December 2019. Participants were asymptomatic women aged 50 to 69 years attending their second or subsequent screening mammography round. By random assignment, one breast underwent the SC and the other breast, the PAC. Image quality was evaluated as perfect, good, moderate, or inadequate (PGMI) on 10 criteria for the craniocaudal (CC) view and 8 criteria for the mediolateral oblique (MLO) view. Pearson's chi-square test, with Yates' correction if pertinent, was performed to compare image quality between compression modes. RESULTS: A total of 444 participants were included (mean [± standard deviation] age, 60 [± 4.9] years). There were no differences in the percentages of PGMI between the PAC and SC modes for the CC view (perfect, 37% [162/444] vs 37% [163/444]; good, 1% [5/444] vs 2% [9/444]; moderate, 62% [277/444] vs 61% [271/444]; inadequate, 0% vs 0.2% [1/444]; p = .88) or for the MLO view (perfect, 53% [237/444] vs 56% [247/444]; good, 22% [99/444] vs 22% [97/444]; moderate, 23% [102/444] vs 22% [98/444]; inadequate, 1% [6/444] vs 0.5% [2/444]; p = .72). No differences were found when we stratified by laterality or when analyzed by PGMI criteria. CONCLUSION: PAC does not seem to impair mammographic image quality. Future research should focus in a daily practice setting. KEY POINTS: No differences were found in the distribution of the PGMI classification, a tool for quality assessment, between patient-assisted compression and standard compression. Similar results were found on stratification of image quality by mammographic view and breast laterality for both types of compression. None of the PGMI criteria had significantly more errors in patient-assisted compression than in standard compression.

Green spaces and mortality: a systematic review and meta-analysis of cohort studies.

BACKGROUND: Green spaces have been proposed to be a health determinant, improving health and wellbeing through different mechanisms. We aimed to systematically review the epidemiological evidence from longitudinal studies that have investigated green spaces and their association with all-cause mortality. We aimed to evaluate this evidence with a meta-analysis, to determine exposure-response functions for future quantitative health impact assessments. METHODS: We did a systematic review and meta-analysis of cohort studies on green spaces and all-cause mortality. We searched for studies published and indexed in MEDLINE before Aug 20, 2019, which we complemented with an additional search of cited literature. We included studies if their design was longitudinal; the exposure of interest was measured green space; the endpoint of interest was all-cause mortality; they provided a risk estimate (ie, a hazard ratio [HR]) and the corresponding 95% CI for the association between green space exposure and all-cause mortality; and they used normalised difference vegetation index (NDVI) as their green space exposure definition. Two investigators (DR-R and DP-L) independently screened the full-text articles for inclusion. We used a random-effects model to obtain pooled HRs. This study is registered with PROSPERO, CRD42018090315. FINDINGS: We identified 9298 studies in MEDLINE and 13 studies that were reported in the literature but not indexed in MEDLINE, of which 9234 (99%) studies were excluded after screening the titles and abstracts and 68 (88%) of 77 remaining studies were excluded after assessment of the full texts. We included nine (12%) studies in our quantitative evaluation, which comprised 8 324 652 individuals from seven countries. Seven (78%) of the nine studies found a significant inverse relationship between an increase in surrounding greenness per 0·1 NDVI in a buffer zone of 500 m or less and the risk of all-cause mortality, but two studies found no association. The pooled HR for all-cause mortality per increment of 0·1 NDVI within a buffer of 500 m or less of a participant's residence was 0·96 (95% CI 0·94-0·97; I2, 95%). INTERPRETATION: We found evidence of an inverse association between surrounding greenness and all-cause mortality. Interventions to increase and manage green spaces should therefore be considered as a strategic public health intervention. FUNDING: World Health Organization.