The effect of individual radiographers on rates of attendance to breast screening: a 7-year retrospective study

Savaridas, Sarah; Brook, Judith S.; Codde, Jim; Bulsara, Max; Wylie, Elizabeth

doi:10.1016/j.crad.2017.11.010

Cited by 4 publications

(2 citation statements)

References 30 publications

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“…However, conventional MRI sequences reflect only the morphological features of lesions, which makes it difficult to pre-evaluate the histological grade and Ki-67 index of EA. Diffusionweighted imaging (DWI), a noninvasive technique that is sensitive to water molecular diffusion in biological tissue, has been investigated for use in evaluating the histological characteristics of EA (9,10). The biexponential intravoxel incoherent motion (IVIM) DWI model, first proposed by Le Bihan et al (11), is an effective MRI sequence for the separation of Brownian motion of water molecules and capillary microcirculation perfusion.…”

Section: Introductionmentioning

confidence: 99%

Identification of histological features of endometrioid adenocarcinoma based on amide proton transfer-weighted imaging and multimodel diffusion-weighted imaging

Fu¹,

Meng²,

Huang³

et al. 2022

Quant Imaging Med Surg

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Background: Noninvasive identification of the histological features of endometrioid adenocarcinoma is necessary. This study aimed to investigate whether amide proton transfer-weighted imaging (APTWI) and multimodel (monoexponential, biexponential, and stretched exponential) diffusion-weighted imaging (DWI) could predict the histological grade of endometrial adenocarcinoma (EA). In addition, we analyzed the correlation between each parameter and the Ki-67 index.Methods: A total of 90 EA patients who received pelvic magnetic resonance imaging (MRI) were enrolled.The magnetization transfer ratio asymmetry [MTRasym (3.5 ppm)], apparent diffusion coefficient (ADC), diffusion coefficient (D), pseudo-diffusion coefficient (D*), perfusion fraction (f), distributed diffusion coefficient (DDC), and water molecular diffusion heterogeneity index (α) were measured and compared.Correlation coefficients between each parameter and histological grade and the Ki-67 index were calculated.Statistical methods included the independent samples t test, Spearman's correlation, and logistic regression. Results: MTRasym (3.5 ppm) [(3.72%±0.31%) vs. (3.27%±0.48%)], f [(3.15%±0.36%) vs. (2.69%±0.83%)], and α [(0.89±0.05) vs. (0.81±0.09)] were higher and ADC [(0.82±0.08) vs. (0.89±0.10) ×10 −3 mm 2 /s], D [(0.67±0.09) vs. (0.81±0.11) ×10 −3 mm 2 /s], and DDC [(1.04±0.09) vs.(1.13±0.13) ×10 −3 mm 2 /s] were lower in high-grade EA than in low-grade EA (P<0.05). MTRasym (3.5 ppm) and D were independent predictors for the histological grade of EA. The combination of MTRasym (3.5 ppm) and D were better able to identify high-and low-grade EA than was each parameter. MTRasym (3.5 ppm) and α were moderately and weakly positively correlated, respectively, with histological grade and the r=0.514, r=0.395, and r=0.367; P<0.05). D was moderately negatively correlated with histological grade and the Ki-67 index (r=-0.540 and r=-0.529; P<0.05). DDC was weakly and moderately negatively correlated with histological grade and the Ki-67 index, respectively (r=-0.473 and r=-0.515; P<0.05). ADC was weakly negatively correlated with histological grade and the Ki-67 index (r=-0.417 and r=-0.427; P<0.05). f was weakly positively correlated with histological grade and the Ki-67 index (r=0.294 and r=0.355; P<0.05).

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Section: Introductionmentioning

confidence: 99%

Identification of histological features of endometrioid adenocarcinoma based on amide proton transfer-weighted imaging and multimodel diffusion-weighted imaging

Fu¹,

Meng²,

Huang³

et al. 2022

Quant Imaging Med Surg

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“…Personal history of breast cancer has been consistently associated with better participation in screening (20, 21). A study in Australia found women with a previous diagnosis of breast cancer were significantly more likely to rescreen compared to women with no history of breast cancer (OR=1.78; 95% 1.62-1.93) (21). Previous studies have also shown women with (versus without) a family history of breast cancer were more likely to adhere to breast cancer screening guidelines (22,23).…”

Section: Discussionmentioning

confidence: 99%

Impact of the age expansion of breast screening on screening uptake and screening outcomes among older women in BreastScreen western

et al. 2021

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Co-production of a novel intervention targeting obesity-related barriers to mammographic screening participation

Dzidzornu,

O'Fee,

Hogan

et al. 2024

Radiography

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The effect of individual radiographers on rates of attendance to breast screening: a 7-year retrospective study

Cited by 4 publications

References 30 publications

Identification of histological features of endometrioid adenocarcinoma based on amide proton transfer-weighted imaging and multimodel diffusion-weighted imaging

Identification of histological features of endometrioid adenocarcinoma based on amide proton transfer-weighted imaging and multimodel diffusion-weighted imaging

Impact of the age expansion of breast screening on screening uptake and screening outcomes among older women in BreastScreen western

Co-production of a novel intervention targeting obesity-related barriers to mammographic screening participation

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