Literature DB >> 26406921

Estimation of optimal b-value sets for obtaining apparent diffusion coefficient free from perfusion in non-small cell lung cancer.

Kishor Karki1, Geoffrey D Hugo, John C Ford, Kathryn M Olsen, Siddharth Saraiya, Robert Groves, Elisabeth Weiss.   

Abstract

The purpose of this study was to determine optimal sets of b-values in diffusion-weighted MRI (DW-MRI) for obtaining monoexponential apparent diffusion coefficient (ADC) close to perfusion-insensitive intravoxel incoherent motion (IVIM) model ADC (ADCIVIM) in non-small cell lung cancer. Ten subjects had 40 DW-MRI scans before and during radiotherapy in a 1.5 T MRI scanner. Respiratory triggering was applied to the echo-planar DW-MRI with TR ≈ 4500 ms, TE  =  74 ms, eight b-values of 0-1000 μs μm(-2), pixel size  =  1.98 × 1.98 mm(2), slice thickness  =  6 mm, interslice gap  =  1.2 mm, 7 axial slices and total acquisition time ≈6 min. One or more DW-MRI scans together covered the whole tumour volume. Monoexponential model ADC values using various b-value sets were compared to reference-standard ADCIVIM values using all eight b-values. Intra-scan coefficient of variation (CV) of active tumour volumes was computed to compare the relative noise in ADC maps. ADC values for one pre-treatment DW-MRI scan of each of the 10 subjects were computed using b-value pairs from DW-MRI images synthesized for b-values of 0-2000 μs μm(-2) from the estimated IVIM parametric maps and corrupted by various Rician noise levels. The square root of mean of squared error percentage (RMSE) of the ADC value relative to the corresponding ADCIVIM for the tumour volume of the scan was computed. Monoexponential ADC values for the b-value sets of 250 and 1000; 250, 500 and 1000; 250, 650 and 1000; 250, 800 and 1000; and 250-1000 μs μm(-2) were not significantly different from ADCIVIM values (p > 0.05, paired t-test). Mean error in ADC values for these sets relative to ADCIVIM were within 3.5%. Intra-scan CVs for these sets were comparable to that for ADCIVIM. The monoexponential ADC values for other sets-0-1000; 50-1000; 100-1000; 500-1000; and 250 and 800 μs μm(-2) were significantly different from the ADCIVIM values. From Rician noise simulation using b-value pairs, there was a wide range of acceptable b-value pairs giving small RMSE of ADC values relative to ADCIVIM. The pairs for small RMSE had lower b-values as the noise level increased. ADC values of a two b-value set-250 and 1000 μs μm(-2), and all three b-value sets with 250, 1000 μs μm(-2) and an intermediate value approached ADCIVIM, with relative noise comparable to that of ADCIVIM. These sets may be used in lung tumours using comparatively short scan and post-processing times. Rician noise simulation suggested that the b-values in the vicinity of these experimental best b-values can be used with error within an acceptable limit. It also suggested that the optimal sets will have lower b-values as the noise level becomes higher.

Entities:  

Mesh:

Year:  2015        PMID: 26406921      PMCID: PMC4610399          DOI: 10.1088/0031-9155/60/20/7877

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  34 in total

1.  Estimation of diffusion properties in crossing fiber bundles.

Authors:  Matthan W A Caan; H Ganesh Khedoe; Dirk H J Poot; Arjan J den Dekker; Silvia D Olabarriaga; Kees A Grimbergen; Lucas J van Vliet; Frans M Vos
Journal:  IEEE Trans Med Imaging       Date:  2010-08       Impact factor: 10.048

2.  In vivo assessment of optimal b-value range for perfusion-insensitive apparent diffusion coefficient imaging.

Authors:  Moti Freiman; Stephan D Voss; Robert V Mulkern; Jeannette M Perez-Rossello; Michael J Callahan; Simon K Warfield
Journal:  Med Phys       Date:  2012-08       Impact factor: 4.071

Review 3.  Diffusion and perfusion MRI of the lung and mediastinum.

Authors:  Thomas Henzler; Gerald Schmid-Bindert; Stefan O Schoenberg; Christian Fink
Journal:  Eur J Radiol       Date:  2010-12       Impact factor: 3.528

4.  Initial experience of 3 tesla apparent diffusion coefficient values in differentiating benign and malignant thyroid nodules.

Authors:  A Turan Ilica; Hakan Artaş; Asli Ayan; Armağan Günal; Ozdes Emer; Zafer Kilbas; Coskun Meric; Mehmet Mahir Atasoy; Ovsev Uzuner
Journal:  J Magn Reson Imaging       Date:  2012-11-12       Impact factor: 4.813

5.  Clinical utility of apparent diffusion coefficient values obtained using high b-value when diagnosing prostate cancer using 3 tesla MRI: comparison between ultra-high b-value (2000 s/mm²) and standard high b-value (1000 s/mm²).

Authors:  Kazuhiro Kitajima; Satoru Takahashi; Yoshiko Ueno; Takeshi Yoshikawa; Yoshiharu Ohno; Makoto Obara; Hideaki Miyake; Masato Fujisawa; Kazuro Sugimura
Journal:  J Magn Reson Imaging       Date:  2012-02-27       Impact factor: 4.813

Review 6.  Predicting and monitoring cancer treatment response with diffusion-weighted MRI.

Authors:  Harriet C Thoeny; Brian D Ross
Journal:  J Magn Reson Imaging       Date:  2010-07       Impact factor: 4.813

7.  Apparent Diffusion Coefficient (ADC) as a quantitative parameter in diffusion weighted MR imaging in gynecologic cancer: Dependence on b-values used.

Authors:  Jesper Folsted Kallehauge; Kari Tanderup; Søren Haack; Thomas Nielsen; Ludvig Paul Muren; Lars Fokdal; Jacob Christian Lindegaard; Erik Morre Pedersen
Journal:  Acta Oncol       Date:  2010-10       Impact factor: 4.089

8.  Apparent diffusion coefficients in GEC ESTRO target volumes for image guided adaptive brachytherapy of locally advanced cervical cancer.

Authors:  Søren Haack; Erik Morre Pedersen; Sune N Jespersen; Jesper F Kallehauge; Jacob Christian Lindegaard; Kari Tanderup
Journal:  Acta Oncol       Date:  2010-10       Impact factor: 4.089

9.  Intravoxel incoherent motion MR imaging for prostate cancer: an evaluation of perfusion fraction and diffusion coefficient derived from different b-value combinations.

Authors:  Yuxi Pang; Baris Turkbey; Marcelino Bernardo; Jochen Kruecker; Samuel Kadoury; Maria J Merino; Bradford J Wood; Peter A Pinto; Peter L Choyke
Journal:  Magn Reson Med       Date:  2012-04-09       Impact factor: 4.668

10.  Visualization of ovarian tumors using 3T MR imaging: diagnostic effectiveness and difficulties.

Authors:  Tomoko Uehara; Junko Takahama; Nagaaki Marugami; Aki Takahashi; Megumi Takewa; Takahiro Itoh; Satoru Kitano; Hiroyuki Nakagawa; Kimihiko Kichikawa
Journal:  Magn Reson Med Sci       Date:  2012       Impact factor: 2.471

View more
  5 in total

1.  Diagnostic accuracy of b800 and b1500 DWI-MRI of the pelvis to detect residual rectal adenocarcinoma: a multi-reader study.

Authors:  David D B Bates; Jennifer S Golia Pernicka; James L Fuqua; Viktoriya Paroder; Iva Petkovska; Junting Zheng; Marinela Capanu; Juliana Schilsky; Marc J Gollub
Journal:  Abdom Radiol (NY)       Date:  2020-02

2.  Optimization of intravoxel incoherent motion (IVIM): variability of parameters measurements using a reduced distribution of b values for breast tumors analysis.

Authors:  Natacha Raissa Doudou; Yajie Liu; Sylvanus Kampo; Kai Zhang; Yue Dai; Shaowu Wang
Journal:  MAGMA       Date:  2019-09-30       Impact factor: 2.310

3.  Modulating the water channel AQP4 alters miRNA expression, astrocyte connectivity and water diffusion in the rodent brain.

Authors:  Amandine Jullienne; Andrew M Fukuda; Aleksandra Ichkova; Nina Nishiyama; Justine Aussudre; André Obenaus; Jérôme Badaut
Journal:  Sci Rep       Date:  2018-03-08       Impact factor: 4.379

4.  Preliminary Results of High-Precision Computed Diffusion Weighted Imaging for the Diagnosis of Hepatocellular Carcinoma at 3 Tesla.

Authors:  Motonori Akagi; Yuko Nakamura; Toru Higaki; Yoshiko Matsubara; Hiroaki Terada; Yukiko Honda; Fuminari Tatsugami; Yasutaka Baba; Makoto Iida; Kazuo Awai
Journal:  J Comput Assist Tomogr       Date:  2018 May/Jun       Impact factor: 1.826

Review 5.  Potentials and challenges of diffusion-weighted magnetic resonance imaging in radiotherapy.

Authors:  Sara Leibfarth; René M Winter; Heidi Lyng; Daniel Zips; Daniela Thorwarth
Journal:  Clin Transl Radiat Oncol       Date:  2018-09-20
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.