Literature DB >> 26204271

Apparent Diffusion Coefficient of Normal Abdominal Organs and Bone Marrow From Whole-Body DWI at 1.5 T: The Effect of Sex and Age.

Ioannis Lavdas1, Andrea G Rockall2, Federica Castelli3, Ranbir S Sandhu2, Annie Papadaki4, Lesley Honeyfield2, Adam D Waldman2,5, Eric O Aboagye1.   

Abstract

OBJECTIVE: The objectives of this study were to define the range of apparent diffusion coefficients (ADCs) from whole-body DWI in normal abdominal organs and bone marrow, to identify ADC differences between sexes and changes occurring with age, and to evaluate the effect of the fat fraction (FF) on the ADC of normal liver parenchyma and bone marrow.
MATERIALS AND METHODS: Fifty-one healthy volunteers (mean age = 38 years; age range = 23-68 years) underwent whole-body DWI using single-shot echo-planar imaging (b = 0, 150, 400, 750, and 1000 s/mm(2)). A two-point Dixon technique was used to evaluate the FF. Perfusion-sensitive ADCs, which we refer to as "ADCALL," and perfusion-insensitive ADCs, which we refer to as "ADCHIGH," of the liver and renal parenchyma, spleen, pancreatic tail, and red and yellow bone marrow were calculated. The relationships between ADC and sex, age, and FF were examined.
RESULTS: ADCALL and ADCHIGH were significantly higher in female volunteers for the pancreatic tail (p = 0.046 and 0.008, respectively), red bone marrow (p = 0.029 and 0.001), and yellow bone marrow (p < 0.001 for both) but with considerable overlap. There were significant negative correlations between ADCALL and ADCHIGH and age in the liver parenchyma (p = 0.008 and 0.01, respectively) and in the yellow bone marrow (p = 0.013 and 0.039) for all subjects. ADCALL and ADCHIGH were also negatively correlated with FF in the liver parenchyma (p = 0.006 and 0.008, respectively) and in yellow bone marrow (p < 0.001 and p = 0.001) in all subjects.
CONCLUSION: The ADCs of normal liver parenchyma and bone marrow change significantly with age. The ADCs of bone marrow in women are significantly higher than those of men and correlate strongly with FF. These effects may have an impact on image interpretation when using whole-body DWI to assess disease burden and treatment response.

Entities:  

Keywords:  abdominal organs; bone marrow; normal apparent diffusion coefficient (ADC); sex and age; whole-body DWI

Mesh:

Year:  2015        PMID: 26204271     DOI: 10.2214/AJR.14.13964

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  19 in total

1.  Multiparametric Whole-body MRI with Diffusion-weighted Imaging and ADC Mapping for the Identification of Visceral and Osseous Metastases From Solid Tumors.

Authors:  Michael A Jacobs; Katarzyna J Macura; Atif Zaheer; Emmanuel S Antonarakis; Vered Stearns; Antonio C Wolff; Thorsten Feiweier; Ihab R Kamel; Richard L Wahl; Li Pan
Journal:  Acad Radiol       Date:  2018-04-04       Impact factor: 3.173

2.  Repeatability and reproducibility of ADC measurements: a prospective multicenter whole-body-MRI study.

Authors:  Nicolas F Michoux; Jakub W Ceranka; Jef Vandemeulebroucke; Frank Peeters; Pierre Lu; Julie Absil; Perrine Triqueneaux; Yan Liu; Laurence Collette; Inneke Willekens; Carola Brussaard; Olivier Debeir; Stephan Hahn; Hubert Raeymaekers; Johan de Mey; Thierry Metens; Frédéric E Lecouvet
Journal:  Eur Radiol       Date:  2021-01-06       Impact factor: 5.315

3.  Whole body MRI with qualitative and quantitative analysis of DWI for assessment of bone marrow involvement in lymphoma.

Authors:  Annalisa Balbo-Mussetto; Chiara Saviolo; Alberto Fornari; Daniela Gottardi; Massimo Petracchini; Annalisa Macera; Chiara Valentina Lario; Teresa Gallo; Corrado Tarella; Stefano Cirillo
Journal:  Radiol Med       Date:  2017-04-18       Impact factor: 3.469

4.  Whole-body MRI for metastatic cancer detection using T2 -weighted imaging with fat and fluid suppression.

Authors:  Xinzeng Wang; Ali Pirasteh; James Brugarolas; Neil M Rofsky; Robert E Lenkinski; Ivan Pedrosa; Ananth J Madhuranthakam
Journal:  Magn Reson Med       Date:  2018-02-14       Impact factor: 4.668

5.  Volumetric and multispectral DWI near metallic implants using a non-linear phase Carr-Purcell-Meiboom-Gill diffusion preparation.

Authors:  Philip K Lee; Daehyun Yoon; Jesse K Sandberg; Shreyas S Vasanawala; Brian A Hargreaves
Journal:  Magn Reson Med       Date:  2022-01-11       Impact factor: 4.668

6.  Semi-automatic quantitative analysis of the pelvic bony structures on apparent diffusion coefficient maps based on deep learning: establishment of reference ranges.

Authors:  Xiang Liu; Chao Han; Ziying Lin; Zhaonan Sun; Yaofeng Zhang; Xiangpeng Wang; Xiaodong Zhang; Xiaoying Wang
Journal:  Quant Imaging Med Surg       Date:  2022-01

7.  Quantitative diffusion MRI of the abdomen and pelvis.

Authors:  Diego Hernando; Yuxin Zhang; Ali Pirasteh
Journal:  Med Phys       Date:  2021-10-08       Impact factor: 4.506

Review 8.  Implementing diffusion-weighted MRI for body imaging in prospective multicentre trials: current considerations and future perspectives.

Authors:  N M deSouza; J M Winfield; J C Waterton; A Weller; M-V Papoutsaki; S J Doran; D J Collins; L Fournier; D Sullivan; T Chenevert; A Jackson; M Boss; S Trattnig; Y Liu
Journal:  Eur Radiol       Date:  2017-09-27       Impact factor: 5.315

9.  Effects of Sex and Age on Fat Fraction, Diffusion-Weighted Image Signal Intensity and Apparent Diffusion Coefficient in the Bone Marrow of Asymptomatic Individuals: A Cross-Sectional Whole-Body MRI Study.

Authors:  Alberto Colombo; Luca Bombelli; Paul E Summers; Giulia Saia; Fabio Zugni; Giulia Marvaso; Robert Grimm; Barbara A Jereczek-Fossa; Anwar R Padhani; Giuseppe Petralia
Journal:  Diagnostics (Basel)       Date:  2021-05-20

10.  Apparent diffusion coefficient of vertebral haemangiomas allows differentiation from malignant focal deposits in whole-body diffusion-weighted MRI.

Authors:  Jessica M Winfield; Gabriele Poillucci; Matthew D Blackledge; David J Collins; Vallari Shah; Nina Tunariu; Martin F Kaiser; Christina Messiou
Journal:  Eur Radiol       Date:  2017-11-13       Impact factor: 5.315

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