Objective: Congenital Urogenital Tract Anomalies (CUTA) are complex and proper diagnosis is important for competent patient care. We set out to investigate whether there is an increased rate of radiologic image interpretation error in patients with CUTA. Methods: We utilized a case-control study design to compare each CUTA case (n=30) with 6 age-matched controls (n=180). We evaluated electronic medical records obtained from EPIC of patients who were referred to our tertiary care center for a higher level of care. We compared imaging results from MRI, CT, and US to intraoperative findings to look for any discrepancies in four key anatomical areas (vagina, uterus, ovaries, and urologic-kidney/ureter/bladder). Error was determined using a standardized scoring system for adjudicating imaging discrepancies in each anatomic area. Results: Cases and controls were similar across all demographic variables except for weight, (controls had a higher BMI). The rate of radiologic interpretation error was higher in patients with congenital urogenital tract anomalies when compared to age-matched controls (OR=51.65; 95% CI (6.39, 417.42)). Conclusion: CUTA are associated with a high rate of radiologic interpretation error. Although radiologic scans are helpful in the work up of CUTA, imaging results may not be definitively diagnostic.
Function following stroke is often measured using the Functional Independence Measure (FIM). Independence occurs when the patient achieves certain levels of functions. SPECT imaging assesses the regional cerebral blood flow (rCBF). Is it possible to correlate the FIM scores with SPECT imaging and predict functional return? We evaluated total of 69 stroke patients with SPECT imaging using Iofetamine (I-123). Patients were scanned within 14-21 days post-stroke. CT scans were evaluated and correlated with the SPECT images. This information was compared with the admission and discharge FIM scores. The rCBF reperfusion changes and region of stroke were evaluated and correlated with discharge functional status. The right parietal areas demonstrated a strong correlation with SPECT and FIM changes as predictors of return of functional living status (p-value = 0.0438). The right parietal area demonstrated an improvement in ambulation (p-value = 0.0578); the right brain correlated with overall improvement in FIM scores and change in SPECT imaging (p-value = 0.0833); the left brain did not exhibit significant values. Our conclusion was that there were trends seen with the predictive value of stroke recovery using SPECT imaging. The current sample number was not large enough to provide an adequate study, especially for the left brain; a larger study is needed. This information could be useful to help determine patient placement for rehabilitation.
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