Screening Digital Mammography Recall Rate: Does It Change with Digital Breast Tomosynthesis Experience?

Purpose To compare screening mammography recall rate, cancer detection rate (CDR), and positive predictive values (PPVs) for digital mammography before and after radiologist experience with digital breast tomosynthesis (DBT). Materials and Methods This retrospective study was approved by the institutional review board and compliant with HIPAA. The authors reviewed screening mammography audit data obtained from 2009 to 2014, during which 108 276 digital mammographic examinations were performed (50 062 before and 58 214 after experience with DBT). Recall rate, CDR, PPV of positive screening result (PPV1), PPV of biopsy recommendation (PPV2), and PPV of biopsies performed (PPV3) of digital mammography for six radiologists were compared before (2009-2011) and after (2012-2014) experience with DBT. Radiologists worked in both a community setting, in which only digital mammography was available, and in two tertiary breast imaging centers, where they interpreted DBT images starting in 2012. Data were examined by using generalized linear mixed modeling wherein observations were nested for each radiologist over time. P < .05 was considered indicative of a statistically significant difference; 95% confidence intervals (CIs) were calculated. Results The average recall rate was 6.8% (range, 3.6%-9.7%) before experience with DBT and 7.9% (range, 5.5%-9.5%) after (P = .0316). Before experience with DBT, the recall rate increased only 0.01% for each year from 2009 to 2011 (P = .9727). After experience with DBT, the recall rate increased 0.65% for each year from 2012 to 2014 (P < .0127). CDR increased from 2.5 per 1000 examinations (95% CI: 2.2, 2.9) to 3.5 per 1000 examinations (95% CI: 3.0, 4.0; P = .0203). PPV2 and PPV3 increased significantly after experience with DBT, from 26.9% (95% CI: 19.9%, 35.3%) to 36.1% (95% CI: 31.7%, 40.7%; P = .0212) for PPV2 and from 31.2% (95% CI: 24.0%, 39.3%) to 40.0% (95% CI: 35.5%, 44.6%; P = .0290) for PPV3. Conclusion Recall rate, CDR, PPV2, and PPV3 of digital mammography increased after radiologist experience with DBT. © RSNA, 2017.

Neonatal and Infant Lung Disorders: Glossary, Practical Approach, and Diagnoses.

A multitude of lung disorders ranging from congenital and genetic anomalies to iatrogenic complications can affect the neonate or the infant within the first year of life. Neonatal and infant chest imaging, predominantly by plain radiography and computed tomography, is frequently employed to aid in diagnosis and management; however, these disorders can be challenging to differentiate due to their broad-ranging, and frequently overlapping radiographic features. A systematic and practical approach to imaging interpretation which includes recognition of radiologic patterns, utilization of commonly accepted nomenclature and classification, as well as interpretation of imaging findings in conjunction with clinical history can not only assist radiologists to suggest the diagnosis, but also aid clinicians in management planning. The contents of this article were endorsed by the leadership of both the World Federation of Pediatric Imaging (WFPI), and the International Society of Pediatric Thoracic Imaging (ISPTI).

Management of Mammographic Architectural Distortion Based on Contrast-enhanced MRI and US Correlation.

OBJECTIVE: The objective was to evaluate outcomes of mammographic architectural distortion (AD) with and without MRI and US correlates. METHODS: A retrospective review of unexplained mammographic AD with subsequent MRI from January 1, 2007 to September 30, 2017 was performed using a reader-based study design. Mammographic, MRI, and US features and outcomes were documented. Truth was based on biopsy results or minimum two-year imaging follow-up. Measures of diagnostic accuracy were calculated. RESULTS: Fifty-six cases of AD were included: 29 (51.8%) detected on 2D mammogram and 27 (48.2%) detected on digital breast tomosynthesis. Of 35.7% (20/56) with MRI correlate, 40.0% (8/20) were enhancing masses, 55.0% (11/20) were non-mass enhancement (NME), and 5.0% (1/20) were nonenhancing AD. Of eight enhancing masses, 75.0% (6/8) were invasive cancers, and 25.0% (2/8) were high-risk lesions. Of 11 NME, 18.2% (2/11) were ductal carcinoma in situ, 36.4% (4/11) were high-risk lesions, and 45.4% (5/11) were benign. Of 64.3% (36/56) without MRI correlate, 94.4% (34/36) were benign by pathology or follow-up, one (2.8%, 1/36) was a 4-mm focus of invasive cancer with US correlate, and one (1/36, 2.8%) was a high-risk lesion. Of cases without MRI and US correlates, one (3.0%, 1/33) was a high-risk lesion and 97.0% (32/33) were benign. The negative predictive value of mammographic AD without MRI correlate was 97.2% (35/36) and without both MRI and US correlates was 100.0% (33/33). CONCLUSION: Mammographic AD without MRI or US correlate was not cancer in our small cohort and follow-up could be considered, reducing interventions.

Advances in Imaging of the ChILD - Childhood Interstitial Lung Disease.

Childhood interstitial lung disease (chILD) refers to a diverse group of rare diffuse parenchymal lung diseases affecting infants and children, previously associated with considerable diagnostic confusion due to a lack of information regarding their clinical, imaging, and histopathologic features. Due to improved lung biopsy techniques, established pathologic diagnostic criteria, and a new structured classification system, there has been substantial improvement in the understanding of chILD over the past several years. The main purpose of this article is to review the latest advances in the imaging evaluation of pediatric interstitial lung disease within the framework of the new classification system.