Literature DB >> 20598006

Diffusion-weighted MRI for tumour volume delineation: comparison with morphological MRI.

G Wolf1, S Schindler, A Koch, N Abolmaali.   

Abstract

Diffusion-weighted magnetic resonance imaging (dwMRI) is sensitive to tissue microstructure on the cellular level and may therefore help to define biological tumour subvolumes and add complementary information to morphology-based cancer treatment protocols and therapy monitoring. The purpose of this study was therefore to evaluate the potential of dwMRI as compared with morphological MRI (mMRI) for tumour volume delineation using a nude rat human tumour xenograft model. Sixteen tumour-bearing rats (10 H1299, six FaDu) were examined with mMRI (T2-weighted true fast imaging with steady precession (TrueFISP), T1-weighted fast low angle shot (FLASH), T2-weighted dual echo steady state (DESS)) and echo-planar dwMRI in a clinical scanner at 1.5 T. For each method, we compared tumour volume and intra- and inter-observer variability of tumour outer edge delineation (disregarding intra-tumoural structure) as well as tumour signal-to-noise ratio (SNR) and tumour-to-muscle contrast-to-noise ratio (CNR). Tumours were visualised with significantly higher SNR and CNR in dwMRI. Median tumour volumes as measured by dwMRI (3.5 cm(3)) and mMRI (TrueFISP: 3.3 cm(3); FLASH: 3.3 cm(3); DESS: 3.2 cm(3)) were not significantly different and significantly correlated. Related to partial volume effects, the intra- and inter-observer variability of dwMRI (intra/inter: 12%/12%) was larger than for mMRI (TrueFISP: 4%/4%; FLASH: 5%/5%; DESS: 5%/5%). In conclusion, dwMRI allows tumour delineation with overall volume estimation comparable with mMRI approaches but slightly higher observer variability. Thus, besides tumour outline, it may potentially supplement morphology-based therapy planning and monitoring with additional biological information.

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Year:  2010        PMID: 20598006     DOI: 10.1111/j.1754-9485.2010.02159.x

Source DB:  PubMed          Journal:  J Med Imaging Radiat Oncol        ISSN: 1754-9477            Impact factor:   1.735


  4 in total

1.  Volume Measurement by Diffusion-Weighted Imaging in Cervical Cancer.

Authors:  Shinya Fujii; Naoki Iwata; Chie Inoue; Naoko Mukuda; Takeru Fukunaga; Toshihide Ogawa
Journal:  Yonago Acta Med       Date:  2017-06-26       Impact factor: 1.641

2.  Image-guided drug delivery in lung cancer.

Authors:  Timothy S Wiedmann; Tanmoy Sadhukha; Bruce E Hammer; Jayanth Panyam
Journal:  Drug Deliv Transl Res       Date:  2012-02       Impact factor: 4.617

3.  MR diffusion-weighted imaging-based subcutaneous tumour volumetry in a xenografted nude mouse model using 3D Slicer: an accurate and repeatable method.

Authors:  Zelan Ma; Xin Chen; Yanqi Huang; Lan He; Cuishan Liang; Changhong Liang; Zaiyi Liu
Journal:  Sci Rep       Date:  2015-10-22       Impact factor: 4.379

4.  Evaluating the tumor biology of lung adenocarcinoma: A multimodal analysis.

Authors:  Ki Hwan Kim; Seong-Yoon Ryu; Ho Yun Lee; Joon Young Choi; O Jung Kwon; Hong Kwan Kim; Young Mog Shim
Journal:  Medicine (Baltimore)       Date:  2019-07       Impact factor: 1.817

  4 in total

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