Faculty Bibliography

OBJECTIVE: In this pictorial essay, we discuss and illustrate normal and aberrant positioning of the cardiovascular support and monitoring devices frequently used in critically ill patients, including central venous catheters, pulmonary artery catheters, left atrial catheters, transvenous pacemakers, automatic implantable cardioverter defibrillators, intraaortic counterpulsation balloon pump, and ventricular assist devices, as well as their inherent complications. CONCLUSION: The radiographic evaluation of the support and monitoring devices used in patients in the ICU is important, because the potentially serious complications arising from their introduction and use are often not clinically apparent. Familiarity with normal and abnormal radiographic findings is critical for the detection of these complications.

OBJECTIVE: In this pictorial essay, we discuss and illustrate normal and aberrant positioning of nonvascular support and monitoring devices frequently used in critically ill patients, including endotracheal and tracheostomy tubes, chest tubes, and nasogastric and nasoenteric tubes, as well as their inherent complications. CONCLUSION: The radiographic evaluation of the support and monitoring devices used in patients in the ICU is important because the potentially serious complications arising from their introduction and use are often not clinically apparent. Familiarity with normal and abnormal radiographic findings is critical for the detection of these complications.

PURPOSE: To assess the effect of using a lossy Joint Photographic Experts Group standard for wavelet image compression, JPEG2000, on pulmonary nodule detection at low-dose computed tomography (CT). MATERIALS AND METHODS: One hundred sets of lung CT data ('cases') were compressed to 30:1, 20:1, and 10:1 levels by using a wavelet-based JPEG2000 method, resulting in 400 test cases. Each case consisted of nine 1.25-mm sections that had been obtained with 20-40 mAs. Four thoracic radiologists independently interpreted the test case images. Performance was measured by using area under the receiver operating characteristic (ROC) curve (Az) and conventional sensitivity and specificity analyses. RESULTS: There were 51 cases with and 49 without lung nodules. Az values were 0.984, 0.988, 0.972, 0.921, respectively, for original and 10:1, 20:1, and 30:1 compressed images. Az values decreased significantly at 30:1 (P =.014) but not at 10:1 compression, with a trend toward significant decrease at 20:1 (P =.051). Specificity values were unaffected by compression (>98.0% at all compression levels). Sensitivity values were 86.3% (176 of 204 test cases with nodules), 77.9% (159 of 204 cases), 76.5% (156 of 204 cases), and 70.1% (143 of 204 cases), respectively, for original and 10:1, 20:1, and 30:1 compressed images. Results of logistic regression model analysis confirmed the significant effects of compression rate and nodule attenuation, size, and location on sensitivity (P <.05). CONCLUSION: While no reduction in nodule detection at 10:1 compression levels was demonstrated by using ROC analysis, a significant decrease in sensitivity was identified. Further investigation is needed before widespread use of image compression technology in low-dose chest CT can be recommended

OBJECTIVE: To assess the skills of anesthesiologists in the interpretation of chest radiographs. DESIGN: Randomized evaluation conducted among anesthesiologists and radiologists. SETTING: Postgraduate Assembly of the New York State Society of Anesthesiologists in 1999, and the Department of Radiology, New York University Medical Center. PARTICIPANTS: A total of 61 anesthesiologists (48 attending physicians; 13 residents); control group of 8 radiology residents (all participants volunteered). INTERVENTIONS: After completing a demographic survey, participants were asked to review a series of 10 chest radiographs. A brief clinical scenario accompanied each radiograph. No time limit was set for these interpretations. Measurements and Main Results: The demographic characteristics of the anesthesiology participants included university faculty (46%), private group practitioners (41%), independent practitioners (11%), and 1 participant with an unspecified type of practice. Additional training among the participants included internal medicine (31%), surgery (19%), and pediatrics (3%); 34% did not specify any additional training. Of the participants, 92% were involved in cases requiring general anesthesia; 96% managed patients in the recovery room; and 34% managed patients in the intensive care unit. Of participants, 80% usually order chest radiographs, but only 42% interpret the films themselves. Misdiagnosed radiographs included pneumothorax by 11% of participants, free air under the diaphragm by 41%, bronchial perforation from a nasogastric tube by 28%, right mainstem intubation by 20%, superior vena cava perforation from a central venous catheter by 31%, normal film by 75%, negative pressure pulmonary edema by 16%, left lower lobe collapse by 80%, pulmonary infarction from a pulmonary artery catheter by 29%, and tension pneumothorax by 41%. Overall scores of the attending physicians were not significantly different from that of residents (p > 0.05). The control group of radiology residents scored significantly better (mean, 83.7; p = 0.009) than the anesthesia residents (mean, 62.8) and anesthesia attending physicians (mean, 62.5). CONCLUSION: Anesthesiologists are deficient in skills for the interpretation of chest radiographs. The skill level of university-based physicians is not greater than physicians in private practice, and skill level does not improve with level of training or experience. Most anesthesiologists rely on radiologists for interpretative results. Further training during the residency years may help improve diagnostic skills

PURPOSE: To quantitate the effectiveness of low-dose computed tomography (CT) in the identification of pulmonary nodules while controlling for anatomic nodule characteristics and to establish what factors lead to reduced diagnostic sensitivity at low-dose CT. MATERIALS AND METHODS: Each of six participating radiologist independently rated 200 image panels by using a four-point confidence scale. Conventional images were obtained at 200 mAs; low-dose images were obtained at 20 mAs. To fully control their characteristics, nodules were simulated with a given diameter, shape, and section thickness while preserving the resolution, noise level, and reconstruction artifacts of the original images. Panels were matched so that nodules on low-dose and conventional images had equivalent sizes, locations, and relationships to blood vessels. RESULTS: Among 864 positive panels, 259 (60%) of 432 low-dose panels and 272 (63%) of 432 conventional panels were correctly interpreted (P = .259). Lowering the x-ray dose significantly reduced the detectability of peripheral nodules (P = .019) and nodules separated from blood vessels (P = .044). Surprisingly, 3-mm nodules were detected with approximately equal sensitivity (P = .181) at conventional and low-dose CT. The specificity of low-dose images was 88% (148 of 168 panels) versus 91% (153 of 168 panels) for conventional images (P = .372). CONCLUSION: Low-dose CT is acceptable for pulmonary nodule identification, making it suitable for primary screening. These results confirm the strong effect of size, location, and angiocentricity on the sensitivity of nodule detection with conventional CT