METHODS: 3317 raw digital mammograms were processed with Volpara(®) (Matakina Technology Ltd, Wellington, New Zealand) to obtain fibroglandular tissue volume (FGV), breast volume (BV) and VBD. Errors in parameters including CBT, kVp, filter thickness and mAs were simulated by varying them in the Digital Imaging and Communications in Medicine (DICOM) tags of the images up to ±10% of the original values. Errors in detector gain and offset were simulated by varying them in the Volpara configuration file up to ±10% from their default values. For image noise, Gaussian noise was generated and introduced into the original images.
RESULTS: Errors in filter thickness, mAs, detector gain and offset had limited effects on FGV, BV and VBD. Significant effects in VBD were observed when CBT, kVp, detector offset and image noise were varied (p
METHODS: We retrospectively collected 15818 raw digital mammograms from 3772 Asian women aged 35-80 years who underwent screening or diagnostic mammography between Jan 2012 and Dec 2014 at our center. The mammograms were processed using a volumetric breast density (VBD) measurement software (Volpara) to assess compression force, compression pressure, compressed breast thickness (CBT), breast volume, VBD and MGD against breast contact area. The effects of reducing compression force on image quality and MGD were also evaluated based on measurement obtained from 105 Asian women, as well as using the RMI156 Mammographic Accreditation Phantom and polymethyl methacrylate (PMMA) slabs.
RESULTS: Compression force, compression pressure, CBT, breast volume, VBD and MGD correlated significantly with breast contact area (p<0.0001). Compression parameters including compression force, compression pressure, CBT and breast contact area were widely variable between [relative standard deviation (RSD)≥21.0%] and within (p<0.0001) Asian women. The median compression force should be about 8.1 daN compared to the current 12.0 daN. Decreasing compression force from 12.0 daN to 9.0 daN increased CBT by 3.3±1.4 mm, MGD by 6.2-11.0%, and caused no significant effects on image quality (p>0.05).
CONCLUSIONS: Force-standardized protocol led to widely variable compression parameters in Asian women. Based on phantom study, it is feasible to reduce compression force up to 32.5% with minimal effects on image quality and MGD.
OBJECTIVE: This study aimed to determine the validity of the content and psychometric properties of HSOPSC 2.0 for use in Indonesian hospitals.
METHODS: The study was divided into three stages: translation, adaptation, and validation. Culture-adaptation was assessed using cognitive interviews with ten direct care nurses who worked in the hospital to evaluate their perceptions and the coherence of the translated items, response categories, and questionnaire directions. Content validity was also done by ten experts from academic and clinical settings. Finally, Confirmatory Factor Analysis (CFA) and reliability testing were conducted among 220 nurses from two Indonesian hospitals.
RESULTS: The cognitive test results indicated that the language clarity was 87.8 % and 84.5% for cultural relevance. The Content Validity Index (CVI) ranged between 0.73 to 1.00, while the construct validity results indicated that each factor had factor loadings above 0.4, from 0.47 to 0.65. The fit indices showed an acceptable fit for the data provided by the 10-factor model, with RMSEA = 0.052, SRMR = 0.089, and CFI = 0.87. The Pearson correlation coefficients between the ten subscales ranged from 0.276 to 0.579 (p < 0.05). The Cronbach's alpha for all sub-scales was more than 0.70, except for organizational learning - continuous improvement, response to error, and communication openness.
CONCLUSION: This study offers initial evidence of the psychometric properties of the Indonesian-HSOPSC 2.0. Future studies are needed to examine its psychometric features to improve generalizability. However, nurses and other healthcare professionals could use the tool to measure hospital patient safety culture in Indonesia.