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A significantly greater decrease in numeric rating scale pain scores was seen in the music therapy group (difference in means [95% CI] -1.4 [-2.0, -0.8]; P<0.0001). Mean changes in Face, Legs, Activity, Cry, Consolability scores did not differ between study groups (mean difference -0.3, [95% CI] -0.8, 0.1; P>0.05). Mean change in Functional Pain Scale scores was significantly greater in the music therapy group (difference in means -0.5 [95% CI] -0.8, 0.3; P<0.0001) [corrected]: A single music therapy intervention incorporating therapist-guided autogenic relaxation and live music was effective in lowering pain in palliative care patients.

Background Magnetic resonance fingerprinting (MRF) allows rapid simultaneous quantification of T1 and T2 relaxation times. This study assesses the utility of MRF in differentiating between common types of adult intra-axial brain tumors. Methods MRF acquisition was performed in 31 patients with untreated intra-axial brain tumors: 17 glioblastomas, 6 WHO grade II lower-grade gliomas and 8 metastases. T1, T2 of the solid tumor (ST), immediate peritumoral white matter (PW), and contralateral white matter (CW) were summarized within each region of interest. Statistical comparisons on mean, standard deviation, skewness and kurtosis were performed using univariate Wilcoxon rank sum test across various tumor types. Bonferroni correction was used to correct for multiple comparisons testing. Multivariable logistic regression analysis was performed for discrimination between glioblastomas and metastases and area under the receiver operator curve (AUC) was calculated. Results Mean T2 values could differentiate solid tumor regions of lower-grade gliomas from metastases (mean±sd: 172±53ms and 105±27ms respectively, p =0.004, significant after Bonferroni correction). Mean T1 of PW surrounding lower-grade gliomas differed from PW around glioblastomas (mean±sd: 1066±218ms and 1578±331ms respectively, p=0.004, significant after Bonferroni correction). Logistic regression analysis revealed that mean T2 of ST offered best separation between glioblastomas and metastases with AUC of 0.86 (95% CI 0.69–1.00, p<0.0001). Conclusion MRF allows rapid simultaneous T1, T2 measurement in brain tumors and surrounding tissues. MRF based relaxometry can identify quantitative differences between solid-tumor regions of lower grade gliomas and metastases and between peritumoral regions of glioblastomas and lower grade gliomas.

Purpose To develop and evaluate an examination consisting of magnetic resonance (MR) fingerprinting-based T1, T2, and standard apparent diffusion coefficient (ADC) mapping for multiparametric characterization of prostate disease. Materials and Methods This institutional review board-approved, HIPAA-compliant retrospective study of prospectively collected data included 140 patients suspected of having prostate cancer. T1 and T2 mapping was performed with fast imaging with steady-state precession-based MR fingerprinting with ADC mapping. Regions of interest were drawn by two independent readers in peripheral zone lesions and normal-appearing peripheral zone (NPZ) tissue identified on clinical images. T1, T2, and ADC were recorded for each region. Histopathologic correlation was based on systematic transrectal biopsy or cognitively targeted biopsy results, if available. Generalized estimating equations logistic regression was used to assess T1, T2, and ADC in the differentiation of (a) cancer versus NPZ, (b) cancer versus prostatitis, (c) prostatitis versus NPZ, and (d) high- or intermediate-grade tumors versus low-grade tumors. Analysis was performed for all lesions and repeated in a targeted biopsy subset. Discriminating ability was evaluated by using the area under the receiver operating characteristic curve (AUC). Results In this study, 109 lesions were analyzed, including 39 with cognitively targeted sampling. T1, T2, and ADC from cancer (mean, 1628 msec ± 344, 73 msec ± 27, and 0.773 × 10 mm/sec ± 0.331, respectively) were significantly lower than those from NPZ (mean, 2247 msec ± 450, 169 msec ± 61, and 1.711 × 10 mm/sec ± 0.269) (P < .0001 for each) and together produced the best separation between these groups (AUC = 0.99). ADC and T2 together produced the highest AUC of 0.83 for separating high- or intermediate-grade tumors from low-grade cancers. T1, T2, and ADC in prostatitis (mean, 1707 msec ± 377, 79 msec ± 37, and 0.911 × 10 mm/sec ± 0.239) were significantly lower than those in NPZ (P < .0005 for each). Interreader agreement was excellent, with an intraclass correlation coefficient greater than 0.75 for both T1 and T2 measurements. Conclusion This study describes the development of a rapid MR fingerprinting- and diffusion-based examination for quantitative characterization of prostatic tissue. RSNA, 2017 Online supplemental material is available for this article.

OBJECTIVES To identify patient characteristics associated with polypharmacy and inappropriate medication (PIM) use among older patients with newly diagnosed cancer. DESIGN Cross-Sectional Study. SETTING Ambulatory oncology clinics at an academic medical center. PARTICIPANTS 117 patients aged ≥ 65 years with newly diagnosed histologically confirmed stage I–IV cancer were enrolled between April 2008 and September 2009. MEASUREMENTS Medication review, included patient self-report and medical records. Polypharmacy was defined as the concurrent use of ≥ five medications, (Yes/No). PIM use was defined as use of ≥ one medication included in the 2003 update of Beers Criteria, (Yes/No). RESULTS The prevalence of polypharmacy and PIM use were 80% and 41%, respectively. Three independent correlates of medication use were identified. An increase in comorbidity count by one, ECOG-PS score by one, and PIM use by one, was associated with an increase in medication use by 0.48 (P=0.0002), 0.79 (P=0.01) and 1.22 (P=0.006), respectively. Two independent correlates of PIM use were identified. The odds of using PIMs decreased by 10% for one unit increase in Body Mass Index [Odds Ratio (OR) 0.90, 95% CI = (0.84, 0.97)], and increased by 18% for each increase in medication count by one [OR 1.18, 95% CI = (1.04, 1.34)]. CONCLUSION There was a high prevalence of polypharmacy and PIM use in older patients with newly diagnosed cancer. Given the co-occurrence of polypharmacy with poor performance status and multi-morbidity, multi-dimensional interventions are needed in the geriatric-oncology population to improve health and cancer outcomes.

Extremely low birth weight adolescents born in the 1990s have poorer achievement and higher rates of math LD than NBW peers. The findings suggest a need for more intensive interventions addressing the specific cognitive vulnerabilities in this population.

Targeted drug delivery using epidermal growth factor peptide-targeted gold nanoparticles (EGFpep-Au NPs) is investigated as a novel approach for delivery of photodynamic therapy (PDT) agents, specifically Pc 4, to cancer. In vitro studies of PDT show that EGFpep-Au NP-Pc 4 is twofold better at killing tumor cells than free Pc 4 after increasing localization in early endosomes. In vivo studies show that targeting with EGFpep-Au NP-Pc 4 improves accumulation of fluorescence of Pc 4 in subcutaneous tumors by greater than threefold compared with untargeted Au NPs. Targeted drug delivery and treatment success can be imaged via the intrinsic fluorescence of the PDT drug Pc 4. Using Pc 4 fluorescence, it is demonstrated in vivo that EGFpep-Au NP-Pc 4 impacts biodistribution of the NPs by decreasing the initial uptake by the reticuloendothelial system (RES) and by increasing the amount of Au NPs circulating in the blood 4 h after IV injection. Interestingly, in vivo PDT with EGFpep-Au NP-Pc 4 results in interrupted tumor growth when compared with EGFpep-Au NP control mice when selectively activated with light. These data demonstrate that EGFpep-Au NP-Pc 4 utilizes cancer-specific biomarkers to improve drug delivery and therapeutic efficacy over untargeted drug delivery.

he peripheral zone is the most common site of prostate cancer. However, 25%-40% of prostate cancers arise from the transition and central zones (1-3). Because of their anterior and apical involvement, transition zone cancers are often missed at digital rectal examination and transrectal US-guided systematic biopsy but are detected with MRI-guided targeted biopsies and template saturation biopsies (4-7).At MRI, the transition zone has a heterogeneous appearance because of varying degrees of glandular and stromal hyperplasia and foci of prostatitis. The Prostate Imaging Reporting and Data System (PI-RADS) version 2 considers T2-weighted imaging as the most important sequence for detection and characterization of transition zone lesions, followed by diffusion-weighted (DW) imaging for upgrading certain category 3 lesions