Literature DB >> 19639216

In vitro experimental study of the relationship between the apparent diffusion coefficient and changes in cellularity and cell morphology.

Yoshitsugu Matsumoto1, Masahiro Kuroda, Ryohei Matsuya, Hirokazu Kato, Koichi Shibuya, Masataka Oita, Atsushi Kawabe, Hidenobu Matsuzaki, Junichi Asaumi, Jun Murakami, Kazunori Katashima, Masakazu Ashida, Takanori Sasaki, Tetsuro Sei, Susumu Kanazawa, Seiichi Mimura, Seiichiro Oono, Takuichi Kitayama, Seiji Tahara, Keiji Inamura.   

Abstract

Diffusion-weighted magnetic resonance imaging (MRI) is frequently used clinically, and is available for the whole-body screening for tumors. The exact mechanism by which the apparent diffusion coefficient (ADC) value decreases in tumorous tissue remains unclear, although various theories have been proposed, including intracellular and extracellular factor theories. It is impossible to distinguish each factor in the intracellular and extracellular spaces as the source of MR signal generation by means of conventional comparison between MR images and pathological specimens. Other factors which have been reported to affect ADC include cellularity and cellular edema of human tissues, and temperature of phantoms at the time of measurement. We employed a new technique that enables cellular MR imaging using a newly developed bio-phantom containing a living culture tumor cell line, Jurkat-N1. We investigated possible reasons for observed decreases in ADC values for tumors, and we considered the contribution of both the intracellular and extracellular space to such a decrease. The ADC values of the bio-phantom increased with increasing heat exposure from 27 to 45 degrees C. ADC values also increased after the destruction by sonication of tumor cell membranes. ADC values decreased as cellularity increased in the bio-phantom. ADC values decreased due to cellular edema caused by a low salt concentration in the bio-phantom. Changes in pressure in the bio-phantom had no effect on the observed ADC values. We calculated both the intracellular ADC and extracellular ADC values using the ADC values, cellularity, and cellular volume of Jurkat-N1 cells in the bio-phantom. The extracellular ADC values in the bio-phantom were estimated to be lower than the ADC value of distilled water. These results indicate that not only intracellular ADC values, but also extracellular ADC values contribute to the determination of the ADC values of bio-phantoms. This is the first report to have examined the contribution of intracellular and extracellular space on the ADC values of bio-phantoms containing cultured tumor cells.

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Year:  2009        PMID: 19639216     DOI: 10.3892/or_00000484

Source DB:  PubMed          Journal:  Oncol Rep        ISSN: 1021-335X            Impact factor:   3.906


  22 in total

1.  Preoperative staging of non-small-cell lung cancer: comparison of whole-body diffusion-weighted magnetic resonance imaging and 18F-fluorodeoxyglucose-positron emission tomography/computed tomography.

Authors:  Gregor Sommer; Mark Wiese; Leopold Winter; Claudia Lenz; Markus Klarhöfer; Flavio Forrer; Didier Lardinois; Jens Bremerich
Journal:  Eur Radiol       Date:  2012-07-09       Impact factor: 5.315

2.  Intravoxel incoherent motion diffusion-weighted imaging of resectable oesophageal squamous cell carcinoma: association with tumour stage.

Authors:  Yu-Cheng Huang; Tian-Wu Chen; Xiao-Ming Zhang; Nan-Lin Zeng; Rui Li; Yu-Lian Tang; Fan Chen; Yan-Li Chen
Journal:  Br J Radiol       Date:  2018-02-05       Impact factor: 3.039

3.  Combining multiparametric MRI with receptor information to optimize prediction of pathologic response to neoadjuvant therapy in breast cancer: preliminary results.

Authors:  Hakmook Kang; Allison Hainline; Lori R Arlinghaus; Stephanie Elderidge; Xia Li; Vandana G Abramson; Anuradha Bapsi Chakravarthy; Richard G Abramson; Brian Bingham; Kareem Fakhoury; Thomas E Yankeelov
Journal:  J Med Imaging (Bellingham)       Date:  2017-12-29

4.  Task-based evaluation of segmentation algorithms for diffusion-weighted MRI without using a gold standard.

Authors:  Abhinav K Jha; Matthew A Kupinski; Jeffrey J Rodríguez; Renu M Stephen; Alison T Stopeck
Journal:  Phys Med Biol       Date:  2012-06-20       Impact factor: 3.609

5.  Signal characteristics of focal bone marrow lesions in patients with multiple myeloma using whole body T1w-TSE, T2w-STIR and diffusion-weighted imaging with background suppression.

Authors:  Gregor Sommer; Markus Klarhöfer; Claudia Lenz; Klaus Scheffler; Georg Bongartz; Leopold Winter
Journal:  Eur Radiol       Date:  2010-09-19       Impact factor: 5.315

6.  Risk stratification of ductal carcinoma in situ using whole-lesion histogram analysis of the apparent diffusion coefficient.

Authors:  Jin You Kim; Jin Joo Kim; Ji Won Lee; Nam Kyung Lee; Geewon Lee; Taewoo Kang; Heesung Park; Yo Han Son; Robert Grimm
Journal:  Eur Radiol       Date:  2018-08-02       Impact factor: 5.315

7.  Early changes in the apparent diffusion coefficient and MMP-9 expression of a cervical carcinoma U14 allograft model following irradiation.

Authors:  Yecai Huang; Jianming Huang; Mei Feng; Jing Ren; Kun Mi; Jia Cheng; Bing Song; Jinyi Lang
Journal:  Oncol Lett       Date:  2017-09-22       Impact factor: 2.967

8.  Diffusion-weighted MRI monitoring of pancreatic cancer response to radiofrequency heat-enhanced intratumor chemotherapy.

Authors:  Tong Zhang; Feng Zhang; Yanfeng Meng; Han Wang; Thomas Le; Baojie Wei; Donghoon Lee; Patrick Willis; Baozhong Shen; Xiaoming Yang
Journal:  NMR Biomed       Date:  2013-09-04       Impact factor: 4.044

Review 9.  Assessing and monitoring intratumor heterogeneity in glioblastoma: how far has multimodal imaging come?

Authors:  Natalie R Boonzaier; Sara G M Piccirillo; Colin Watts; Stephen J Price
Journal:  CNS Oncol       Date:  2015-10-26

10.  Survival analysis for apparent diffusion coefficient measures in children with embryonal brain tumours.

Authors:  Matthew Grech-Sollars; Dawn E Saunders; Kim P Phipps; Jonathan D Clayden; Chris A Clark
Journal:  Neuro Oncol       Date:  2012-09-06       Impact factor: 12.300

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