Intra-patient variability of iodine quantification across different dual-energy CT platforms: assessment of normalization techniques.

OBJECTIVES: To investigate intra-patient variability of iodine concentration (IC) between three different dual-energy CT (DECT) platforms and to test different normalization approaches. METHODS: Forty-four patients who underwent portal venous phase abdominal DECT on a dual-source (dsDECT), a rapid kVp switching (rsDECT), and a dual-layer detector platform (dlDECT) during cancer follow-up were retrospectively included. IC in the liver, pancreas, and kidneys and different normalized ICs (NICPV:portal vein; NICAA:abdominal aorta; NICALL:overall iodine load) were compared between the three DECT scanners for each patient. A longitudinal mixed effects analysis was conducted to elucidate the effect of the scanner type, scan order, inter-scan time, and contrast media amount on normalized iodine concentration. RESULTS: Variability of IC was highest in the liver (dsDECT vs. dlDECT 28.96 (14.28-46.87) %, dsDECT vs. rsDECT 29.08 (16.59-62.55) %, rsDECT vs. dlDECT 22.85 (7.52-33.49) %), and lowest in the kidneys (dsDECT vs. dlDECT 15.76 (7.03-26.1) %, dsDECT vs. rsDECT 15.67 (8.86-25.56) %, rsDECT vs. dlDECT 10.92 (4.92-22.79) %). NICALL yielded the best reduction of IC variability throughout all tissues and inter-scanner comparisons, yet did not reduce the variability between dsDECT vs. dlDECT and rsDECT, respectively, in the liver. The scanner type remained a significant determinant for NICALL in the pancreas and the liver (F-values, 12.26 and 23.78; both, p < 0.0001). CONCLUSIONS: We found tissue-specific intra-patient variability of IC across different DECT scanner types. Normalization mitigated variability by reducing physiological fluctuations in iodine distribution. After normalization, the scanner type still had a significant effect on iodine variability in the pancreas and liver. CLINICAL RELEVANCE STATEMENT: Differences in iodine quantification between dual-energy CT scanners can partly be mitigated by normalization, yet remain relevant for specific tissues and inter-scanner comparisons, which should be taken into account at clinical routine imaging. KEY POINTS: • Iodine concentration showed the least variability between scanner types in the kidneys (range 10.92-15.76%) and highest variability in the liver (range 22.85-29.08%). • Normalizing tissue-specific iodine concentrations against the overall iodine load yielded the greatest reduction of variability between scanner types for 2/3 inter-scanner comparisons in the liver and for all (3/3) inter-scanner comparisons in the kidneys and pancreas, respectively. • However, even after normalization, the dual-energy CT scanner type was found to be the factor significantly influencing variability of iodine concentration in the liver and pancreas.

Embracing Heterogeneity in The Multicenter Stroke Preclinical Assessment Network (SPAN) Trial.

The Stroke Preclinical Assessment Network (SPAN) is a multicenter preclinical trial platform using rodent models of transient focal cerebral ischemia to address translational failure in experimental stroke. In addition to centralized randomization and blinding and large samples, SPAN aimed to introduce heterogeneity to simulate the heterogeneity embodied in clinical trials for robust conclusions. Here, we report the heterogeneity introduced by allowing the 6 SPAN laboratories to vary most of the biological and experimental model variables and the impact of this heterogeneity on middle cerebral artery occlusion (MCAo) performance. We included the modified intention-to-treat population of the control mouse cohort of the first SPAN trial (n=421) and examined the biological and procedural independent variables and their covariance. We then determined their impact on the dependent variables cerebral blood flow drop during MCAo, time to achieve MCAo, and total anesthesia duration using multivariable analyses. We found heterogeneity in biological and procedural independent variables introduced mainly by the site. Consequently, all dependent variables also showed heterogeneity among the sites. Multivariable analyses with the site as a random effect variable revealed filament choice as an independent predictor of cerebral blood flow drop after MCAo. Comorbidity, sex, use of laser Doppler flow to monitor cerebral blood flow, days after trial onset, and maintaining anesthesia throughout the MCAo emerged as independent predictors of time to MCAo. Total anesthesia duration was predicted by most independent variables. We present with high granularity the heterogeneity introduced by the biological and model selections by the testing sites in the first trial of cerebroprotection in rodent transient filament MCAo by SPAN. Rather than trying to homogenize all variables across all sites, we embraced the heterogeneity to better approximate clinical trials. Awareness of the heterogeneity, its sources, and how it impacts the study performance may further improve the study design and statistical modeling for future multicenter preclinical trials.

Bacterial dacryoadenitis: clinical features, microbiology, and management of 45 cases, with a recent uptick in incidence.

PURPOSE: To review the clinical features, microbiology, management, and incidence of bacterial dacryoadenitis at our institution. METHODS: This was a case series examining patients with bacterial dacryoadenitis from 2004 to 2020. Charts were reviewed for demographics, comorbidities, presenting symptoms and signs, radiology, microbiology, and management. Main outcomes included need for surgical intervention or inpatient admission. RESULTS: Forty-five patients with bacterial dacryoadenitis had a mean age of 46.1 years. Presenting symptoms included eyelid edema (100%), extraocular motility restriction (53.3%), and purulent discharge (75.5%). Based on computed tomography or magnetic resonance imaging, 9 (20.5%) patients presented with definite abscess and 15 (34%) presented with a phlegmon or early abscess. Eleven patients (24.4%) required surgical drainage. Twenty patients (44.4%) required admission, for an average stay of 4 days (range 2-8 days). Common organisms included Haemophilus influenzae, Streptococcus pneumoniae, and Staphylococcus aureus. Presence of an early abscess or phlegmon correlated with need for drainage (p < 0.01). Extraocular motility restriction correlated with need for drainage (p = 0.02) and admission (p = 0.05). The incidence of bacterial dacryoadenitis at our institution increased as a percentage of confirmed dacryoadenitis cases; from 2004 to 2010 the incidence was 0 to 9.1% per year, while from 2010 to 2019 the incidence ranged from 7.7 to 36.2%. In 2019, our institution had 17 cases (incidence 36.2%) of bacterial dacryoadenitis. CONCLUSIONS: Bacterial dacryoadenitis is a major cause of dacryoadenitis, and its incidence may be increasing. It can resolve with minimal complications if managed appropriately, although some patients may require surgical drainage or admission for intravenous antibiotics.

Differences in Assessment of Everyday Preferences Between People With Cognitive Impairment and Their Care Partners: The Role of Neuropsychiatric Symptoms.

OBJECTIVE: As cognitive impairment progresses, people with dementia increasingly rely on surrogate decision-makers for everyday activities. Yet, little is known about concordance on everyday preferences between persons with cognitive impairment and their care partners. METHODS: The sample included 69 dyads of persons with cognitive impairment (Clinical Dementia Rating Scale ≥0.5) and their care partners. We used the Preferences for Everyday Living Inventory (PELI) to assess preferences for activities and lifestyle choices among persons with cognitive impairment. The PELI was concurrently but separately administered to care partners, who answered as surrogate decision-makers. Factor analysis was used to ascertain factor structure of the PELI; reliability measures were computed within the sample. Paired sample t-tests were used to estimate differences in scores of corresponding PELI items for each factor. Multiple regression models were used to relate predictors, including neuropsychiatric symptoms, to agreement levels. RESULTS: Four factors were identified from the PELI: autonomous choice, social engagement, personal growth, and keeping a routine. Significant participant-care partner discrepancy was found in "social engagement" preferences (e.g., regular contact with family, meeting new people, volunteering). Geriatric Depression Scale-15 score and care partner sex were significantly associated with participant-care partner discrepancies in "social engagement" preferences. CONCLUSION: This study yields new insights regarding the most important preferences for persons with cognitive impairment and clarifies a path to optimizing surrogate decision-making around everyday preferences by highlighting areas of apparent disagreement and identifying potential predictors of discrepancy.