ABSTRACT
BACKGROUND: Intravoxel incoherent motion (IVIM) diffusion weighted MRI (DWI) has potential for evaluating hepatic fibrosis but image acquisition technique influence on diffusion parameter estimation bears investigation. PURPOSE: To minimize variability and maximize repeatably in abdominal DWI in terms of IVIM parameter estimates. STUDY TYPE: Prospective test-retest and image quality comparison. SUBJECTS: Healthy volunteers (3F/7M, 29.9 ± 12.9 years) and Family Study subjects (18F/12M, 51.7 ± 16.7 years), without and with liver steatosis. FIELD STRENGTH/SEQUENCE: Abdominal single-shot echo-planar imaging (EPI) and simultaneous multi-slice (SMS) DWI sequences with respiratory triggering (RT), breath-holding (BH), and navigator echo (NE) at 3 Tesla. ASSESSMENT: SMS-BH, EPI-NE, and SMS-RT data from twice-scanned healthy volunteers were analyzed using 6 × b-values (0-800 sâ mm-2 ) and lower (LO) and higher (HI) b-value ranges. Family Study subjects were scanned using SMS and standard EPI sequences. The biexponential IVIM model was used to estimate fast-diffusion coefficient (Df ), fraction of fast diffusion (f), and slow-diffusion coefficient (Ds ). Scan time, estimated signal-to-noise ratio (eSNR), eSNR per acquisition, and distortion ratio were compared. STATISTICAL TESTS: Coefficients of variation (CoV) and Bland Altman analyses were performed for test-retest repeatability. Interclass correlation coefficient (ICC) assessed interobserver agreement with P < 0.05 deemed significant. RESULTS: Within-subject CoVs among volunteers (N = 10) for f and Ds were lowest in EPI-NE-LO (11.6%) and SMS-RT-HI (11.1%). Inter-observer ICCs for f and Ds were highest for EPI-NE-LO (0.63) and SMS-RT-LO (0.76). Df could not be estimated for most subjects. Estimated eSNR (EPI = 21.9, SMS = 4.7) and eSNR time (EPI = 6.7, SMS = 16.6) were greater for SMS, with less distortion in the liver region (DR-PE: EPI = 23.6, SMS = 13.1). DATA CONCLUSION: Simultaneous multislice acquisitions had significantly less variability and higher ICCs of Ds , higher eSNR, less distortion, and reduced scan time compared to EPI. EVIDENCE LEVEL: 2 TECHNICAL EFFICACY: Stage 1.
ABSTRACT
Trujillo, one of the main provinces of Peru, is home to a multicultural population, coming from the Coast, Sierra and Selva; of different ideologies, cultures, and ancestral knowledge about the correct use of medicinal flora. In this sense and in an effort to rescue this ancestral knowledge, the ethnobotanical study of the medicinal flora of the province of Trujillo was carried out. For which 96 semi - structured interviews were applied, using the "snowball" technique; followed by the collection, taxonomic determination and calculation of ethnobotanical indices: Use Value Index (IVU) and Informant Consensus Factor Index (FCI). It is concluded that the inhabitants of Trujillo make use of 102 species of medicinal flora, distributed in 95 genera and 46 families for the treatment and/or cure of 62 diseases. Of the total species, 24 turned out to be the most important (according to their IVU) for the cure of diseases of the Trujillo po pulation.
Trujillo, una de las principales provincias de Perú, alberga una población pluricultural, procedente de la Costa, Sierra y Selv a; de distintas ideologías, culturas, y saberes ancestrales sobre el correcto uso de la flora medicinal. En tal sentido y en el afán de rescatar ese conocimiento ancestral, se realizó el estudio etnobotánico de la flora medicinal de la provincia de Trujill o. Para lo cual se aplicaron 96 entrevistas semiestructuradas, empleando la técnica "bola de nieve"; seguido de la colecta, determinación taxonómica y cálculo de Índices etnobotánicos: Índice de valor de Uso (IVU) e Índice de Factor de Consenso del Informa nte (FCI). Se concluye que los pobladores trujillanos hacen uso de 102 especies de flora medicinal, distribuidas en 95 géneros y 46 familias para el tratamiento y/o cura de 62 enfermedades. Del total de especies, 24 resultaron ser las más importantes (segú n su IVU) para la cura de enfermedades del poblador Trujillano.