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The majority of connective tissue diseases (CTDs) are multisystem disorders that are often heterogeneous in their presentation and do not have a single laboratory, histologic, or radiologic feature that is defined as the gold standard to support a specific diagnosis. Given this challenging situation, the diagnosis of CTD is a process that requires the synthesis of multidisciplinary data which may include patient clinical symptoms, serologic evaluation, laboratory testing, and imaging. Pulmonary manifestations of connective tissue disease include interstitial lung disease as well as multicompartmental manifestations. These CT imaging patterns and features of specific diseases will be discussed in this article.

We aimed to evaluate the impact of collaborative discussion between diagnostic radiologists and radiation oncologists on radiation oncology management for thoracic oncology patients.We reviewed cases presented at multidisciplinary thoracic tumor boards (TTB) (n = 122) and diagnostic radiology/radiation oncology rounds (DR/ROR) (n = 45). Changes in planned radiation management following imaging discussion were categorized-no change, timing change, and treatment volume change. Phase of care was also classified. In DR/ROR, radiation oncologists were surveyed regarding (1) change in radiation oncology management and (2) change in confidence (both 5-point Likert scales).Discussion of imaging with a radiologist changed radiation oncology management in 31.1% of TTB cases and 68.9% of DR/ROR cases (P0.001). Changes to the timing of initiating radiation therapy occurred with similar frequency in the 2 settings (31.1% vs 46.7%, P = 0.063). Changes to target volume occurred more frequently in DR/ROR (35.6% vs1%), P0.001. Over half of imaging discussions in DR/ROR resulted in at least "moderate" change in radiation oncology management, and the level of confidence held by the radiation oncologists increased following discussion with radiologists in 95.6% of cases.Collaborative discussions between radiation oncologists and diagnostic radiologists in a multispecialty tumor board and in targeted 2-specialty rounds are not redundant, but result in different management changes and at different phases of care. Our study emphasizes the importance of consultation with physicians as an area where radiologists can add value, specifically the added benefit of smaller collaborative discussions.

Imaging, specifically computed tomography (CT), is a key component in the characterization, management, and follow-up of patients with connective tissue disease (CTD)-related diffuse lung disease. The main role of CT is to help direct treatment by determining the primary pattern of lung injury present. Other roles include follow-up of lung disease over time, evaluation of acute symptoms, and monitoring for treatment complications. Although diagnosis is typically made using clinical and serologic criteria, CT plays an important role when lung disease is the dominant presenting feature. This article delineates the roles of CT in patients with CTD-related lung disease.

Smoke from cigarettes and other sources may induce a variety of patterns of lung injury. While smoking related lung diseases, in general, have a better prognosis than many other diffuse lung diseases, they may be a cause of significant symptoms and, in some cases, may even require lung transplantation. On histology, the manifestations of these patterns range from reversible inflammation to irreversible emphysema or fibrosis. High-resolution chest CT plays a critical role in the diagnosis of smoking related lung diseases. It has several roles including (1) helping determine diagnosis, (2) assessing the pattern of injury that is present, (3) evaluating the extent and severity of disease, and (4) determining the response to treatment. The practicing radiologist must have a knowledge of the clinical, pathologic, and imaging features of the differnent patterns of lung injury associated with smoke inhalation.

Objective To investigate whether general psychological motivating factors that guide career selection of a medical specialty differ over the course of medical school and to compare differences in motivating factors among students choosing "controllable" lifestyle specialties, students choosing "uncontrollable" lifestyle specialties, and a cohort of radiology residents. Materials and Methods An anonymous survey was distributed to first- through fourth-year medical students and radiology residents at a single institution. Participants were asked to select their top three of seven factors that most influenced their choice of medical specialty. Fourth-year students were asked to designate the specialty to which they had applied. Results The survey was distributed to 259 students and 47 radiology residents with a response rate of 93.8% (243 of 259) and 95.7% (45 of 47), respectively. The top three factors indicated by medical students were finding the daily work fulfilling, work–life balance, and interest in the subject. These top three factors were common to all medical student classes and did not differ between students choosing "controllable" versus "uncontrollable" fields. The factors uncommonly selected were similar personality to others in the field, attending income, competitiveness or prestige, and job market conditions. For radiology residents, the top three motivating factors were the same as for medical students. Conclusion Three out of seven motivating factors were universally important to trainees, regardless of their stage of medical training or their selection of a controllable versus uncontrollable lifestyle specialty. These data suggest the variety of career choices made by students may not derive from differing underlying values.

© 2016 The Association of University Radiologists Rationale and Objectives We aimed to evaluate whether implementation of a low-dose computed tomography (CT)-guided lung biopsy protocol, with the support of individual radiologists in the section, would lead to immediate and sustained decreases in radiation dose associated with CT-guided lung biopsies. Materials and Methods A low-dose CT-guided lung biopsy protocol was developed with modifications of kilovoltage peak, milliamperes, and scan coverage. Out of 413 CT-guided lung biopsies evaluated over a 3-year period beginning in 2009, 175 performed with a standard protocol before the development of a low-dose protocol, and 238 performed with a low-dose protocol. The dose-length product (DLP) was recorded for each lung biopsy and retrospectively compared between the two protocols. Individual radiologist level DLPs were also compared before and after the protocol change. Results The mean biopsy dose decreased by 64.4% with the low-dose protocol (113.8 milligray centimeters versus 319.7 milligray centimeters; P

ObjectiveTo evaluate the predictive value of Computed Tomography Angiography (CTA) measurements of the RVOT for transcatheter valve sizing.BackgroundTranscatheter pulmonary valve replacement (TPVR) provides an alternative to surgery in patients with right ventricular outflow tract (RVOT) dysfunction. We studied 18 patients who underwent catheterization for potential TPVR to determine whether CT imaging can be used to accurately predict implant size.MethodsCases were grouped by RVOT characteristics: native or transannular patch (n=8), conduit (n=5) or bioprosthetic valve (n=5). TPVR was undertaken in 14/18 cases, after balloon-sizing was used to confirm suitability and select implant size. Retrospective CT measurements of the RVOT (circumference-derived (Dcirc) and area-derived (Darea) diameters) were obtained at the level of the annulus, bioprosthesis or conduit. Using manufacturer sizing guidance, a valve size was generated and a predicted valve category assigned: (1) 29mm. Predicted and implanted valves were compared for inter-rater agreement using Cohen's kappa coefficient.ResultsThe median age of patients was 37years old (IQR: 30-49); 55% were male. Diagnoses included: Tetralogy of Fallot (12/18), d-Transposition repair (3/18), congenital pulmonary stenosis (2/18) and carcinoid heart disease (1/18). Measurements of Darea (κ=0.697, p&nbsp

The role of cardiac magnetic resonance (MR) imaging as a prognostic tool in patients with ischemic heart disease is well established. However, an increasing body of data now demonstrates that cardiac MR imaging can provide prognostic information in a variety of nonischemic and diffuse myocardial diseases including myocarditis, dilated and hypertrophic cardiomyopathies, sarcoidosis, amyloidosis, and arrhythmogenic right ventricular cardiomyopathy. Cardiac MR imaging can also supply incremental information above established prognostic indicators, providing an additional tool for use in the prediction of disease progression, response to treatment, and risk stratification.