Validity and reliability of an Arabic-language version of the postpartum specific anxiety scale research short-form in Jordan.

OBJECTIVE: The English-language Postpartum Specific Anxiety Scale (PSAS) is a valid, reliable measure for postpartum anxiety (PPA), but its 51-item length is a limitation. Consequently, the PSAS Working Group developed the PSAS Research Short-Form (PSAS-RSF), a statistically robust 16-item tool that effectively assesses PPA. This study aimed to assess and validate the reliability of an Arabic-language version of the PSAS-RSF in Jordan (PSAS-JO-RSF). METHODS: Using a cross-sectional methodological design, a sample of Arabic-speaking mothers (N = 391) with infants aged up to 6 months were recruited via convenience sampling from a prominent tertiary hospital in northern Jordan. Factor analysis, composite reliability (CR), average variance extracted (AVE), McDonald's ω, and inter-item correlation measures were all examined. RESULTS: Explanatory factor analysis revealed a four-factor model consistent with the English-language version of the PSAS-RSF, explaining a cumulative variance of 61.5%. Confirmatory factor analysis confirmed the good fit of the PSAS-JO-RSF (χ2/df = 1.48, CFI = 0.974, TLI = 0.968, RMSEA = 0.039, SRMR = 0.019, p < 0.001). The four factors demonstrated acceptable to good reliability, with McDonald's ω ranging from 0.778 to 0.805, with 0.702 for the overall scale. The CR and AVE results supported the validity and reliability of the PSAS-JO-RSF. CONCLUSION: This study establishes an Arabic-language version of the PSAS-JO-RSF as a valid and reliable scale for screening postpartum anxieties in Jordan.

Assessing the Gap Between Women's Expectations and Perceptions of the Quality of Intrapartum Care in Jordan: A Two-Stage Study Using the SERVQUAL Model.

INTRODUCTION: Although Jordan has made significant progress toward expanding the utilization of facility-based intrapartum care, prior research highlights that poor service quality is still persistent. This study aimed to identify quality gaps between women's expectations and perceptions of the actual intrapartum care received, while exploring the contributing factors. METHODS: Utilizing a pre-post design, quality gaps in intrapartum care were assessed among 959 women pre- and postchildbirth at a prominent tertiary hospital in northern Jordan. Data were gathered using the SERVQUAL scale, measuring service quality across reliability, responsiveness, tangibles, assurance, and empathy dimensions. RESULTS: The overall mean gap score between women's expectations and perceptions of the quality of intrapartum care was -0.60 (±0.56). The lowest and highest mean gap scores were found to be related to tangibles and assurance dimensions, -0.24 (±0.39) and -0.88 (±0.35), respectively. Significant negative quality gaps were identified in the dimensions of assurance, empathy, and responsiveness, as well as overall service quality (p < 0.001). The MLR analyses highlighted education (ß = 0.61), mode of birth (ß = -0.60), admission timing (ß = -0.41), continuity of midwifery care (ß = -0.43), physician's gender (ß = -0.62), active labour duration (ß = 0.37), and pain management (ß = -0.33) to be the key determinants of the overall quality gap in intrapartum care. CONCLUSION: Our findings underscore the importance of fostering a labour environment that prioritizes enhancing caregivers' empathetic, reassuring, and responsive skills to minimize service quality gaps and enhance the overall childbirth experience for women in Jordan. PATIENT OR PUBLIC CONTRIBUTION: This paper is a collaborative effort involving women with lived experiences of childbirth, midwives, and obstetrics and gynaecologist physicians. The original idea, conceptualization, data generation, and coproduction, including manuscript editing, were shaped by the valuable contributions of stakeholders with unique perspectives on intrapartum care in Jordan.

Association between inter-pregnancy interval and risk of adverse birth outcomes in subsequent pregnancy: A retrospective study from Jordan.

BACKGROUND: Adverse birth outcomes, such as preterm birth and low birth weight (LBW), are leading causes of neonatal morbidity and mortality. In this study, we aimed to estimate the association between inter-pregnancy interval (IPI) and the risks of adverse birth outcomes in a subsequent pregnancy. METHODS: We conducted a retrospective analysis involving 630 mothers who delivered a singleton live infant at a leading tertiary hospital in northern Jordan from March to August 2021. Outcome variables were preterm birth (<37 weeks of gestation) and LBW (<2.5 kg). Using multivariable logistic regression, the association between IPI and these two adverse birth outcomes was investigated. RESULTS: The rates of preterm birth and LBW were 12.4% and 16.8%, respectively. Compared with an optimal IPI (24-36 months), a short IPI (<24 months) was positively associated with preterm birth (aOR: 4.09; 95% CI: 1.48-6.55) and LBW (aOR: 3.58; 95% CI: 1.57-5.15). Infants conceived after a long IPI (≥ 60 months) had increased odds of preterm birth (aOR: 3.78; 95% CI: 1.12-5.78) and LBW (aOR: 2.65; 95% CI: 1.67-4.03). Preterm delivery was also significantly associated with the mother's age (aOR: 1.10; 95% CI: 1.04-1.17), history of multiple cesarean births (aOR: 2.67; 95% CI: 1.14-4.29), prolonged rupture of membranes (aOR: 2.46; 95% CI: 1.10-5.52), and perinatal death (aOR: 3.42; 95% CI: 1.10-5.49). A mother's history of prior LBW (aOR: 4.39; 95% CI: 1.08-6.80), hypertensive disorders (aOR: 1.95; 95% CI: 1.03-3.89), and multiple cesarean births (aOR: 4.35; 95% CI: 2.10-6.99) was associated with LBW. CONCLUSIONS: Both short and long IPIs were related to preterm delivery and LBW. Optimal birth spacing is recommended to improve birth outcomes and must be considered when designing effective family planning programs.

Salivary cortisol, perceived stress and coping strategies: A comparative study of working and nonworking women.

AIMS: This study investigated stress levels and coping strategies among working and nonworking women in the United Arab Emirates. BACKGROUND: Stress levels in working and nonworking women have previously been studied, but few studies used cortisol to measure stress or examined how coping strategies affect stress levels. METHODS: We employed a cross-sectional design with a convenience sample of women aged 20-65 years. Information on women's sociodemographic characteristics, perceived stress (using the Perceived Stress Scale) and coping strategies (using the Brief-COPE) was collected. Participants' morning (07:00-08:00) and evening (19:00-20:00) cortisol levels were measured using unstimulated saliva samples. RESULTS: In total, 417 working and 403 nonworking women participated in this study. More nonworking women reported high stress levels than working women (14.1% vs. 4.1%, p = .001). Working women reported more use of informational support and venting to cope with stress compared with nonworking women (94.0% vs. 88.1%, p = .001). More nonworking women had impaired morning (<0.094 mg/dl) and evening (>0.359 mg/dl) cortisol compared with working women (58.1% vs. 28.5% and 41.7% vs. 18.0%, respectively). Compared with working women, nonworking women had 3.25 (95%CI: 2.38, 4.47) and 3.78 (95%CI: 2.65, 5.43) times the odds of impaired morning and evening cortisol, respectively. CONCLUSION: Nonworking women exhibited higher levels of stress than working women. There is an urgent need to support nonworking women to manage stress through appropriate awareness campaigns and public health policies. IMPLICATIONS FOR MANAGEMENT: Policymakers and community leaders should consider the mental health of nonworking women as a priority in planning public health policies and programmes. Nurse managers must have a voice in reforming public health policy to support early assessment and management of stress among nonworking women.

The use of echocardiographic and clinical data recorded on admission to simplify decision making for elective percutaneous coronary intervention: a prospective cohort study.

BACKGROUND: Coronary artery disease (CAD), a leading cause of mortality, affects patient health-related quality of life (HRQoL). Elective percutaneous coronary interventions (ePCIs) are usually performed to improve HRQoL of CAD patients. The aim of this study was to design models using admission data to predict the outcomes of the ePCI treatments on the patients' HRQoL. METHODS: This prospective cohort study was conducted with CAD patients who underwent ePCIs at the King Abdullah University Hospital in Jordan from January 2014 through May 2015. Six months after their ePCI procedures, the participants completed the improved MacNew (QLMI-2) questionnaire, which was used for evaluating three domains (physical, emotional and social) of HRQoL. Multivariate linear regression was used to design models to predict the three domains of HRQoL from echocardiographic findings and clinical data that are routinely measured on admission. RESULTS: The study included 239 patients who underwent ePCIs and responded to the QLMI-2 questionnaire. The mean age (± standard deviation) of the participants was 55.74 ± 11.84 years, 54.58 ± 11.37 years for males (n = 174) and 59.11 ± 12.49 years for females (n = 65). The average scores for physical, emotional and social HRQoL were 4.38 ± 1.27, 4.4 ± 1.11, and 4.37 ± 1.32, respectively. Out of the 42 factors inputted to the models to predict HRQoL scores, 10, 9, and 9 factors were found to be significant determinants for physical, emotional and social domains, respectively, with adjusted coefficients of determination of 0.630, 0.604 and 0.534, respectively. Basophil levels on admission showed a significant positive correlation with the three domains of HRQoL, while aortic root diameter showed a negative correlation. Scores for the three domains were significantly lower in women than in men. Hypertensive and diabetic patients had significantly lower HRQoL scores than patients without hypertension and diabetes. CONCLUSION: The prediction of HRQoL scores 6 months after an ePCI is possible based on data acquired on admission. The models developed here can be used as decision-making tools to guide physicians in identifying the efficacy of ePCIs for individual patients, hence decreasing the rate of inappropriate ePCIs and reducing costs and complications.

The Impact of Applying Quality Management Practices on Patient Centeredness in Jordanian Public Hospitals: Results of Predictive Modeling.

Targeting the patient's needs and preferences has become an important contributor for improving care delivery, enhancing patient satisfaction, and achieving better clinical outcomes. This study aimed to examine the impact of applying quality management practices on patient centeredness within the context of health care accreditation and to explore the differences in the views of various health care workers regarding the attributes affecting patient-centered care. Our study followed a cross-sectional survey design wherein 4 Jordanian public hospitals were investigated several months after accreditation was obtained. Total 829 clinical/nonclinical hospital staff members consented for study participation. This sample was divided into 3 main occupational categories to represent the administrators, nurses, as well as doctors and other health professionals. Using a structural equation modeling, our results indicated that the predictors of patient-centered care for both administrators and those providing clinical care were participation in the accreditation process, leadership commitment to quality improvement, and measurement of quality improvement outcomes. In particular, perceiving the importance of the hospital's engagement in the accreditation process was shown to be relevant to the administrators (gamma = 0.96), nurses (gamma = 0.80), as well as to doctors and other health professionals (gamma = 0.71). However, the administrator staff (gamma = 0.31) was less likely to perceive the influence of measuring the quality improvement outcomes on the delivery of patient-centered care than nurses (gamma = 0.59) as well as doctors and other health care providers (gamma = 0.55). From the nurses' perspectives only, patient centeredness was found to be driven by building an institutional framework that supports quality assurance in hospital settings (gamma = 0.36). In conclusion, accreditation is a leading factor for delivering patient-centered care and should be on a hospital's agenda as a strategy for continuous quality improvement.

Experiences of Work-Related Stress Among Female Healthcare Workers During the COVID-19 Public Health Emergency: A Qualitative Study in the United Arab of Emirates.

Objective: Frontline healthcare workers experienced high levels of psychological distress and emotional turmoil due to the changes necessitated by the COVID-19 public health emergency. Given that workplace stress can negatively influence both quality of work, and job performance, this study sought to explore the lived experiences of work-related stress among female healthcare workers in United Arab of Emirates during the COVID-19 pandemic. Methods: A qualitative phenomenological investigation was performed using a purposive sampling approach. A total of 26 semi-structured interviews were conducted with female healthcare workers who worked directly with COVID-19 patients. Using Giorgi's descriptive method, the data were analyzed to identify the main themes. Results: Three main themes emerged from the data analysis, with nine categories under these themes. The first theme was "sources of work-related stress." The participants reported a high workload, fear of being infected and transmitting the virus to others, and uncertainty and lack of knowledge regarding COVID-19 to be the main sources of their work-related stress. The second theme was "challenges of working during the pandemic." The participants related being challenged by changes in the organization of care, the need to use personal protective equipment, a work-life imbalance, and witnessing patients' suffering. The third theme was "coping strategies." The participants perceived having sources of social support and using self-adjustment skills to be helpful strategies in terms of coping with the stressful situations they experienced. Conclusion: The findings suggest a number of strategies and interventions that could be used at the individual and institutional levels to promote the preparedness and efficacy of healthcare workers during future crises and public health emergencies.

Clinical and electrocardiogram presentations of patients with high serum potassium concentrations within emergency settings: a prospective study.

BACKGROUND: Elevated potassium level is a common and reversible peri-arrest condition. Diagnosis and management of hyperkalemia in a short time is critical, where electrocardiogram (ECG) alterations might be helpful. We aimed to investigate the role of clinical features and ECGs in early diagnosing and treating hyperkalemia. METHODS: Prospectively, adult patients who presented to the emergency department (ED) from July 2019 to March 2020 with hyperkalemia (serum potassium ≥5.5mmol/L) were included. History was obtained, and laboratory investigations and ECGs were performed at the presentation and before initiating hyperkalemia therapy. Hyperkalemia severity was divided into mild (5.5-5.9mmol/L), moderate (6.0-6.4mmol/L), and severe (≥6.5mmol/L). A cardiologist and emergency physician blinded to laboratory values, study design, and patients' diagnoses interpreted ECGs and presenting symptoms independently to predict hyperkalemia. RESULTS: Sixty-seven hyperkalemic patients with a mean (±SD) serum potassium level of 6.5±0.7mmol/L were included in this study. The mean age was 63.9±15.1, and 58.2% were females. Hyperkalemia was mild in 10.4%, moderate in 40.3%, and severe in 49.3%. Almost two thirds of patients (71.6%) had hypertension, 67.2% diabetes, and 64.2% chronic kidney disease. About one-quarter of patients (22.4%) were asymptomatic, while fatigue (46.3%), dyspnea (28.4%), and nausea/vomiting (20.9%) were the most common presenting symptoms. Normal ECGs were observed in 25.4% of patients, while alterations in 74.6%. Atrial fibrillation (13.4%), peaked T wave (11.9%), widened QRS (11.9%), prolonged PR interval (10.5%), and flattening P wave (10.5%) were the most common. Peaked T wave was significantly more common in severe hyperkalemia (87.5%) than in mild and moderate hyperkalemia (12.5%, 0.0%, respectively) (p=0.041). The physicians' sensitivities for predicting hyperkalemia were 35.8% and 28.4%, improved to 51.5% and 42.4%, respectively, when limiting the analyses to severe hyperkalemia. The mean (±SD) time to initial hyperkalemia treatment was 63.8±31.5 min. Potassium levels were positively correlated with PR interval (r=0.283, p=0.038), QRS duration (r=0.361, p=0.003), peaked T wave (r=0.242, p=0.041), and serum levels of creatinine (r=0.347, p=0.004), BUN (r=0.312, p=0.008), and CK (r=0.373, p=0.039). CONCLUSIONS: The physicians' abilities to predict hyperkalemia based on ECG and symptoms were poor. ECG could not be solely relied on, and serum potassium tests should be conducted for accurate diagnosis.

Optomechanical imaging system for breast cancer detection.

Imaging studies of the breast comprise three principal sensing domains: structural, mechanical, and functional. Combinations of these domains can yield either additive or wholly new information, depending on whether one domain interacts with the other. In this report, we describe a new approach to breast imaging based on the interaction between controlled applied mechanical force and tissue hemodynamics. Presented is a description of the system design, performance characteristics, and representative clinical findings for a second-generation dynamic near-infrared optical tomographic breast imager that examines both breasts simultaneously, under conditions of rest and controlled mechanical provocation. The expected capabilities and limitations of the developed system are described in relation to the various sensing domains for breast imaging.

The Impact of Perceived Social Support During Pregnancy on Postpartum Infant-Focused Anxieties: A Prospective Cohort Study of Mothers in Northern Jordan.

OBJECTIVE: This study aimed to evaluate the association between perceived social support during pregnancy and levels of anxiety among postpartum women using an anxiety-specific screening instrument. METHODS: Using a prospective cohort design, a two-stage methodology was conducted to collect data from women seeking maternal care at the King Abdullah University Hospital in northern Jordan. In the first stage, perceived social support was assessed among pregnant women using the Medical Outcomes Study Social Support Survey. During the first six months after childbirth, postpartum women were contacted to complete the second stage, wherein their perceptions of infant-focused anxieties were assessed using the Postpartum Specific Anxiety Scale. In our study, two types of infant-focused anxieties were investigated among a final sample of 419 mothers: infant safety and welfare anxieties and practical infant care anxieties. RESULTS: The results of multivariate linear regression analysis indicated that providing pregnant women with high levels of emotional support from close social networks (ß= -0.08, p= 0.01) and perceiving informational support from health care providers (ß= -0.71, p< 0.01) were protective factors for reducing the levels of postpartum anxiety concerning infant safety and welfare. Our findings also demonstrated that pregnant mothers who perceived high informational support from health care providers had a lower level of postpartum anxiety about practical infant care (ß= -0.20, p< 0.01). In contrast, mothers who reported receiving high tangible support from close social networks during pregnancy had a significantly higher level of perceived anxiety concerning practical infant care after delivery (ß= 0.13, p= 0.02). CONCLUSION: Our study suggests that postpartum anxiety would be reduced if effective informational support were readily available for pregnant women. There is a clear need for building bridges between women, their families, and providers to distinguish the specific type and amount of support that should be provided to mothers during pregnancy.

Mechanical and hemodynamic responses of breast tissue under mammographic-like compression during functional dynamic optical imaging.

Studying tissue hemodynamics following breast compression has the potential to reveal new contrast mechanisms for evaluating breast cancer. However, how compression will be distributed and, consequently, how hemodynamics will be altered inside the compressed breast remain unclear. To explore the effect of compression, 12 healthy volunteers were studied by applying a step compression increase (4.5-53.4 N) using an optical imaging system capable of concurrently measuring pressure distribution and hemodynamic responses. Finite element analysis was used to predict the distribution of internal fluid pressure (IFP) in breast models. Comparisons between the measured pressure distribution and the reconstructed hemodynamic images for the healthy volunteers indicated significant (p < 0.05) negative correlations. The findings from a breast cancer patient showed that IFP distribution during compression strongly correlates with the observed differential hemodynamic images. We concluded that dynamic breast compression results in non-uniform internal pressure distribution throughout the breast that could potentially drive directed blood flow. The encouraging results obtained highlight the promise of developing dynamic optical imaging biomarkers for breast cancer by interpreting differential hemodynamic images of breast tissue during compression in the context of measured pressure distribution and predicted IFP.

Objective detection of chronic stress using physiological parameters.

The aim of this study was to design a system to diagnose chronic stress, based on blunted reactivity of the autonomic nervous system (ANS) to cognitive load (CL). The system concurrently measures CL-induced variations in pupil diameter (PD), heart rate (HR), pulse wave amplitude (PWA), galvanic skin response (GSR), and breathing rate (BR). Measurements were recorded from 58 volunteers whose stress level was identified using the State-Trait Anxiety Inventory. Number-multiplication questions were used as CLs. HR, PWA, GSR, and PD were significantly (p < 0.05) changed during CL. CL-induced changes in PWA (16.87 ± 21.39), GSR (- 13.71 ± 7.86), and PD (11.56 ± 9.85) for non-stressed subjects (n = 36) were significantly different (p < 0.05) from those in PWA (2.92 ± 12.89), GSR (- 6.87 ± 9.54), and PD (4.51 ± 10.94) for stressed subjects (n = 22). ROC analysis for PWA, GSR, and PD illustrated their usefulness to identify stressed subjects. By inputting all features to different classification algorithms, up to 91.7% of sensitivity and 89.7% of accuracy to identify stressed subjects were achieved using 10-fold cross-validation. This study was the first to document blunted CL-induced changes in PWA, GSR, and PD in stressed subjects, compared to those in non-stressed subjects. Preliminary results demonstrated the ability of our system to objectively detect chronic stress with good accuracy, suggesting the potential for monitoring stress to prevent dangerous stress-related diseases. Graphical abstract Chronic stress degrads the autonomic nervous system reaction to cognitive loads. Measurement of reduced changes in physiological signals during asking math questions was useful to identify people with high STAI score (stressed subjects).

Integrating the Principles of Evidence Based Medicine and Evidence Based Public Health: Impact on the Quality of Patient Care and Hospital Readmission Rates in Jordan.

INTRODUCTION: Hospital readmissions impose not only an extra burden on health care systems but impact patient health outcomes. Identifying modifiable behavioural risk factors that are possible causes of potentially avoidable readmissions can lower readmission rates and healthcare costs. METHODS: Using the core principles of evidence based medicine and public health, the purpose of this study was to develop a heuristic guide that could identify what behavioural risk factors influence hospital readmissions through adopting various methods of analysis including regression models, t-tests, data mining, and logistic regression. This study was a retrospective cohort review of internal medicine patients admitted between December 1, 2012 and December 31, 2013 at King Abdullah University Hospital, in Jordan. RESULTS: 29% of all hospitalized patients were readmitted during the study period. Among all readmissions, 44% were identified as potentially avoidable. Behavioural factors including smoking, unclear follow-up and discharge planning, and being non-compliant with treatment regimen as well as discharge against medical advice were all associated with increased risk of avoidable readmissions. CONCLUSION: Implementing evidence based health programs that focus on modifiable behavioural risk factors for both patients and clinicians would yield a higher response in terms of reducing potentially avoidable readmissions, and could reduce direct medical costs.

Enhanced resting-state dynamics of the hemoglobin signal as a novel biomarker for detection of breast cancer.

PURPOSE: The work presented here demonstrates an application of diffuse optical tomography (DOT) to the problem of breast-cancer diagnosis. The potential for using spatial and temporal variability measures of the hemoglobin signal to identify useful biomarkers was studied. METHODS: DOT imaging data were collected using two instrumentation platforms the authors developed, which were suitable for exploring tissue dynamics while performing a simultaneous bilateral exam. For each component of the hemoglobin signal (e.g., total, oxygenated), the image time series was reduced to eight scalar metrics that were affected by one or more dynamic properties of the breast microvasculature (e.g., average amplitude, amplitude heterogeneity, strength of spatial coordination). Receiver-operator characteristic (ROC) analyses, comparing groups of subjects with breast cancer to various control groups (i.e., all noncancer subjects, only those with diagnosed benign breast pathology, and only those with no known breast pathology), were performed to evaluate the effect of cancer on the magnitudes of the metrics and of their interbreast differences and ratios. RESULTS: For women with known breast cancer, simultaneous bilateral DOT breast measures reveal a marked increase in the resting-state amplitude of the vasomotor response in the hemoglobin signal for the affected breast, compared to the contralateral, noncancer breast. Reconstructed 3D spatial maps of observed dynamics also show that this behavior extends well beyond the tumor border. In an effort to identify biomarkers that have the potential to support clinical aims, a group of scalar quantities extracted from the time series measures was systematically examined. This analysis showed that many of the quantities obtained by computing paired responses from the bilateral scans (e.g., interbreast differences, ratios) reveal statistically significant differences between the cancer-positive and -negative subject groups, while the corresponding measures derived from individual breast scans do not. ROC analyses yield area-under-curve values in the 77%-87% range, depending on the metric, with sensitivity and specificity values ranging from 66% to 91%. An interesting result is the initially unexpected finding that the hemodynamic-image metrics are only weakly dependent on the tumor burden, implying that the DOT technique employed is sensitive to tumor-induced changes in the vascular dynamics of the surrounding breast tissue as well. Computational modeling studies serve to identify which properties of the vasomotor response (e.g., average amplitude, amplitude heterogeneity, and phase heterogeneity) principally determine the values of the metrics and their codependences. Findings from the modeling studies also serve to clarify the influence of spatial-response heterogeneity and of system-design limitations, and they reveal the impact that a complex dependence of metric values on the modeled behaviors has on the success in distinguishing between cancer-positive and -negative subjects. CONCLUSIONS: The authors identified promising hemoglobin-based biomarkers for breast cancer from measures of the resting-state dynamics of the vascular bed. A notable feature of these biomarkers is that their spatial extent encompasses a large fraction of the breast volume, which is mainly independent of tumor size. Tumor-induced induction of nitric oxide synthesis, a well-established concomitant of many breast cancers, is offered as a plausible biological causal factor for the reported findings.

Digital optical tomography system for dynamic breast imaging.

Diffuse optical tomography has shown promising results as a tool for breast cancer screening and monitoring response to chemotherapy. Dynamic imaging of the transient response of the breast to an external stimulus, such as pressure or a respiratory maneuver, can provide additional information that can be used to detect tumors. We present a new digital continuous-wave optical tomography system designed to simultaneously image both breasts at fast frame rates and with a large number of sources and detectors. The system uses a master-slave digital signal processor-based detection architecture to achieve a dynamic range of 160 dB and a frame rate of 1.7 Hz with 32 sources, 64 detectors, and 4 wavelengths per breast. Included is a preliminary study of one healthy patient and two breast cancer patients showing the ability to identify an invasive carcinoma based on the hemodynamic response to a breath hold.

The design and characterization of a digital optical breast cancer imaging system.

Optical imaging has the potential to play a major role in breast cancer screening and diagnosis due to its ability to image cancer characteristics such as angiogenesis and hypoxia. A promising approach to evaluate and quantify these characteristics is to perform dynamic imaging studies in which one monitors the hemodynamic response to an external stimulus, such as a valsalva maneuver. It has been shown that the response to such stimuli shows MARKED differences between cancerous and healthy tissues. The fast imaging rates and large dynamic range of digital devices makes them ideal for this type of imaging studies. Here we present a digital optical tomography system designed specifically for dynamic breast imaging. The instrument uses laser diodes at 4 different near-infrared wavelengths with 32 sources and 128 silicon photodiode detectors.