Detecting the "gist" of breast cancer in mammograms three years before localized signs of cancer are visible.

OBJECTIVES: After a 500 ms presentation, experts can distinguish abnormal mammograms at above chance levels even when only the breast contralateral to the lesion is shown. Here, we show that this signal of abnormality is detectable 3 years before localized signs of cancer become visible. METHODS: In 4 prospective studies, 59 expert observers from 3 groups viewed 116-200 bilateral mammograms for 500 ms each. Half of the images were prior exams acquired 3 years prior to onset of visible, actionable cancer and half were normal. Exp. 1D included cases having visible abnormalities. Observers rated likelihood of abnormality on a 0-100 scale and categorized breast density. Performance was measured using receiver operating characteristic analysis. RESULTS: In all three groups, observers could detect abnormal images at above chance levels 3 years prior to visible signs of breast cancer (p < 0.001). The results were not due to specific salient cases nor to breast density. Performance was correlated with expertise quantified by the number of mammographic cases read within a year. In Exp. 1D, with cases having visible actionable pathology included, the full group of readers failed to reliably detect abnormal priors; with the exception of a subgroup of the six most experienced observers. CONCLUSIONS: Imaging specialists can detect signals of abnormality in mammograms acquired years before lesions become visible. Detection may depend on expertise acquired by reading large numbers of cases. ADVANCES IN KNOWLEDGE: Global gist signal can serve as imaging risk factor with the potential to identify patients with elevated risk for developing cancer, resulting in improved early cancer diagnosis rates and improved prognosis for females with breast cancer.

Breaking bad and difficult news in obstetric ultrasound and sonographer burnout: Is training helpful?

BACKGROUND: Sonographers report high levels of burnout. For those working in obstetric ultrasound, one frequently cited stressor is the delivery of bad or difficult news. Training in news delivery may reduce sonographer stress levels, but no studies have investigated sonographer experiences of this training. AIMS: To investigate sonographer experiences of difficult news delivery training and preferences for training techniques, and to assess whether news delivery training is associated with lower burnout and higher wellbeing. METHODS: A cross-sectional survey measured occupational characteristics, news delivery training experiences and preferences, burnout (on two dimensions of exhaustion and disengagement), and general mental wellbeing. RESULTS: Ninety sonographers (85 female; mean age = 47) responded. The majority of participants thought training in difficult news delivery had improved their practice. Preferred training techniques were observation of clinical practice and receiving service-user input. Eighty per cent of participants were experiencing exhaustion, 43.3% were experiencing disengagement and 88.9% could be classed as having a minor psychiatric disorder. Having received difficult news delivery training was associated with lower levels of disengagement, even when other variables were controlled for. DISCUSSION: News delivery training is perceived to be effective by sonographers and may help to reduce sonographer burnout levels.

Neonatal respiratory distress syndrome: Chest X-ray or lung ultrasound? A systematic review.

BACKGROUND AND AIM: Neonatal respiratory distress syndrome is a leading cause of morbidity in preterm new-born babies (<37 weeks gestation age). The current diagnostic reference standard includes clinical testing and chest radiography with associated exposure to ionising radiation. The aim of this review was to compare the diagnostic accuracy of lung ultrasound against the reference standard in symptomatic neonates of ≤42 weeks gestation age. METHODS: A systematic search of literature published between 1990 and 2016 identified 803 potentially relevant studies. Six studies met the review inclusion criteria and were retrieved for analysis. Quality assessment was performed before data extraction and meta-analysis. RESULTS: Four prospective cohort studies and two case control studies included 480 neonates. All studies were of moderate methodological quality although heterogeneity was evident across the studies. The pooled sensitivity and specificity of lung ultrasound were 97% (95% confidence interval [CI] 94-99%) and 91% (CI: 86-95%) respectively. False positive diagnoses were made in 16 cases due to pneumonia (n = 8), transient tachypnoea (n = 3), pneumothorax (n = 1) and meconium aspiration syndrome (n = 1); the diagnoses of the remaining three false positive results were not specified. False negatives diagnoses occurred in nine cases, only two were specified as air-leak syndromes. CONCLUSIONS: Lung ultrasound was highly sensitive for the detection of neonatal respiratory distress syndrome although there is potential to miss co-morbid air-leak syndromes. Further research into lung ultrasound diagnostic accuracy for neonatal air-leak syndrome and economic modelling for service integration is required before lung ultrasound can replace chest radiography as the imaging component of the reference standard.

A half-second glimpse often lets radiologists identify breast cancer cases even when viewing the mammogram of the opposite breast.

Humans are very adept at extracting the "gist" of a scene in a fraction of a second. We have found that radiologists can discriminate normal from abnormal mammograms at above-chance levels after a half-second viewing (d' ∼ 1) but are at chance in localizing the abnormality. This pattern of results suggests that they are detecting a global signal of abnormality. What are the stimulus properties that might support this ability? We investigated the nature of the gist signal in four experiments by asking radiologists to make detection and localization responses about briefly presented mammograms in which the spatial frequency, symmetry, and/or size of the images was manipulated. We show that the signal is stronger in the higher spatial frequencies. Performance does not depend on detection of breaks in the normal symmetry of left and right breasts. Moreover, above-chance classification is possible using images from the normal breast of a patient with overt signs of cancer only in the other breast. Some signal is present in the portions of the parenchyma (breast tissue) that do not contain a lesion or that are in the contralateral breast. This signal does not appear to be a simple assessment of breast density but rather the detection of the abnormal gist may be based on a widely distributed image statistic, learned by experts. The finding that a global signal, related to disease, can be detected in parenchyma that does not contain a lesion has implications for improving breast cancer detection.