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1.
J Radiol Case Rep ; 13(1): 17-23, 2019 Jan.
Article in English | MEDLINE | ID: mdl-31565164

ABSTRACT

We present the clinical, imaging, and laboratory findings of a 41-year-old male with culture proven Sporothrix schenckii osteoarticular infection of the right knee. Fungal arthropathies are a rare and indolent form of septic arthritis, which often leads to a delayed diagnosis. Early diagnosis and treatment of fungal arthropathies is critical to preventing permanent functional disability.


Subject(s)
Arthritis, Infectious/diagnosis , Arthritis, Infectious/microbiology , Delayed Diagnosis , Sporothrix/isolation & purification , Sporotrichosis/diagnosis , Adult , Humans , Knee Joint/diagnostic imaging , Knee Joint/microbiology , Magnetic Resonance Imaging , Male
2.
Acad Radiol ; 26(10): 1358-1362, 2019 10.
Article in English | MEDLINE | ID: mdl-30527457

ABSTRACT

RATIONALE AND OBJECTIVES: Detecting sternal lesions is not the purpose of breast MRI, but diagnosing metastasis has major clinical implications. Our purpose was to determine the breast MRI features of sternal metastases detected on PET-CT and bone-scan. MATERIALS AND METHODS: Between 01/2010-09/2018, 379 patients with breast cancer had sternal findings on PET-CT or bone-scan, 21 of which underwent breast MRI within 100 days. Sternal lesions were considered metastatic if (1) biopsy demonstrated metastasis, (2) the lesion had similar appearance to synchronous sites of biopsy-proven osseous metastases, or (3) there were numerous suspicious lesions in which widespread osseous metastasis was presumed. Four radiologists reviewed the MR images to determine if metastases were retrospectively detectable. MRI reports were reviewed to determine if lesions were prospectively described. MRI features of metastatic sternal lesions were compared to benign controls. RESULTS: Fourteen sternal metastases met inclusion criteria. Lesions were retrospectively detectable on breast MRI by all radiologists in 86% (12/14) of cases, but prospectively reported in 57%. Of the 12 MRI-detectable metastases, mean maximum dimension was 33 mm, 7 had >1 lesion, all were T1-hypointense, 11 were T2-hyperintense, 11 were noncircumscribed, 6 extended beyond cortex, 11 enhanced heterogeneously, and 11 demonstrated washout. Heterogeneous enhancement (p = 0.002), noncircumscribed margins (p < 0.001), multiplicity (p = 0.005), and size >1 cm (p < 0.001) were more frequent with metastatic compared to benign sternal lesions. CONCLUSION: Most sternal metastases (86%) were retrospectively detectable on breast MRI, but only 57% were prospectively reported, emphasizing the importance evaluating the sternum on breast MRI. Certain MRI features may raise suspicion for metastasis.


Subject(s)
Bone Neoplasms , Breast Neoplasms , Magnetic Resonance Imaging/methods , Positron Emission Tomography Computed Tomography/methods , Sternum , Tomography, X-Ray Computed/methods , Biopsy/methods , Bone Neoplasms/diagnostic imaging , Bone Neoplasms/pathology , Bone Neoplasms/secondary , Breast Neoplasms/diagnostic imaging , Breast Neoplasms/pathology , Diagnostic Errors/prevention & control , Female , Humans , Middle Aged , Neoplasm Invasiveness , Retrospective Studies , Sternum/diagnostic imaging , Sternum/pathology
4.
Radiographics ; 38(1): 236-247, 2018.
Article in English | MEDLINE | ID: mdl-29194009

ABSTRACT

Medical errors are a leading cause of morbidity and mortality in the medical field and are substantial contributors to medical costs. Radiologists play an integral role in the diagnosis and care of patients and, given that those in this field interpret millions of examinations annually, may therefore contribute to diagnostic errors. Errors can be categorized as a "miss" when a primary or critical finding is not observed or as a "misinterpretation" when errors in interpretation lead to an incorrect diagnosis. In this article, the authors describe the cognitive causes of such errors in diagnostic medicine, specifically in radiology. Recognizing the cognitive processes that radiologists use while interpreting images should improve one's awareness of the inherent biases that can impact decision making. The authors review the common biases that impact clinical decisions, as well as strategies to counteract or minimize the potential for misdiagnosis. System-level processes that can be implemented to minimize cognitive errors are reviewed, as well as ways to implement personal changes to minimize cognitive errors in daily practice. ©RSNA, 2017.


Subject(s)
Bias , Cognition , Diagnostic Errors , Radiography , Decision Making , Humans
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