Literature DB >> 11937285

A model based upon pseudo regular spacing of cells combined with the randomisation of the nuclei can explain the significant changes in high-frequency ultrasound signals during apoptosis.

John W Hunt1, Arthur E Worthington, Andrew Xuan, Michael C Kolios, Gregory J Czarnota, Michael D Sherar.   

Abstract

Recent ultrasound (US) experiments on packed myeloid leukaemia cells have shown that, at frequencies from 32 to 40 MHz, significant increases of signal amplitude were observed during apoptosis. This paper is an attempt to explain these signal increases based upon a simulation of the backscattered signals from the cells nuclei. The simulation is an expansion of work in which a condensed sample of cells, with fairly regular sizes, could be considered as an imperfect crystal. Thus, destructive interference could occur and this would be observed as a large reduced value of backscattered signals compared with the values obtained from a similar, but random, scattering source. This current paper explores the possibility that simple changes in the nuclei, such as their observed condensation or the small loss of nuclei scatterers from cells, could cause a significant increase in the observed backscattered signals. This model indicates that the greater backscattered signals can be explained by further randomisation of the average positions of the scattering sources in each cell. When these "microechoes" are added together, so that the destructive interference is reduced, a large increase in the signal is predicted. The simplified model strongly suggests that much of observed large increases of the backscattered signals could be simply explained by the randomisation of the position of the condensed nuclei during apoptosis, and the destruction of the nuclei could produce further signal amplitude changes due to disruption of the cloud of backscattered waves.

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Year:  2002        PMID: 11937285     DOI: 10.1016/s0301-5629(01)00494-x

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  10 in total

1.  Ultrasonic backscatter coefficient quantitative estimates from high-concentration Chinese Hamster Ovary cell pellet biophantoms.

Authors:  Aiguo Han; Rami Abuhabsah; James P Blue; Sandhya Sarwate; William D O'Brien
Journal:  J Acoust Soc Am       Date:  2011-12       Impact factor: 1.840

2.  Detection and grading of prostate cancer using temporal enhanced ultrasound: combining deep neural networks and tissue mimicking simulations.

Authors:  Shekoofeh Azizi; Sharareh Bayat; Pingkun Yan; Amir Tahmasebi; Guy Nir; Jin Tae Kwak; Sheng Xu; Storey Wilson; Kenneth A Iczkowski; M Scott Lucia; Larry Goldenberg; Septimiu E Salcudean; Peter A Pinto; Bradford Wood; Purang Abolmaesumi; Parvin Mousavi
Journal:  Int J Comput Assist Radiol Surg       Date:  2017-06-20       Impact factor: 2.924

3.  A Method for Stereological Determination of the Structure Function From Histological Sections of Isotropic Scattering Media.

Authors:  Aiguo Han
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2018-06       Impact factor: 2.725

4.  Quantitative ultrasound backscatter for pulsed cavitational ultrasound therapy- histotripsy.

Authors:  Tzu-yin Wang; Zhen Xu; Frank Winterroth; Timothy L Hall; J Brian Fowlkes; Edward D Rothman; William W Roberts; Charles A Cain
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2009-05       Impact factor: 2.725

5.  Structure Function Estimated From Histological Tissue Sections.

Authors:  Aiguo Han; William D O'Brien
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2016-03-25       Impact factor: 2.725

6.  High-frequency ultrasound for intraoperative margin assessments in breast conservation surgery: a feasibility study.

Authors:  Timothy E Doyle; Rachel E Factor; Christina L Ellefson; Kristina M Sorensen; Brady J Ambrose; Jeffrey B Goodrich; Vern P Hart; Scott C Jensen; Hemang Patel; Leigh A Neumayer
Journal:  BMC Cancer       Date:  2011-10-12       Impact factor: 4.430

7.  Quantitative evaluation of cell death response in vitro and in vivo using conventional-frequency ultrasound.

Authors:  Ali Sadeghi-Naini; Stephanie Zhou; Mehrdad J Gangeh; Zahra Jahedmotlagh; Omar Falou; Shawn Ranieri; Muhammad Azrif; Anoja Giles; Gregory J Czarnota
Journal:  Oncoscience       Date:  2015-09-03

8.  High-frequency ultrasound detection of cell death: Spectral differentiation of different forms of cell death in vitro.

Authors:  Maurice M Pasternak; Ali Sadeghi-Naini; Shawn M Ranieri; Anoja Giles; Michael L Oelze; Michael C Kolios; Gregory J Czarnota
Journal:  Oncoscience       Date:  2016-09-12

9.  Effect of chromatin structure on quantitative ultrasound parameters.

Authors:  Maurice Pasternak; Lilian Doss; Golnaz Farhat; Azza Al-Mahrouki; Christina Hyunjung Kim; Michael Kolios; William Tyler Tran; Gregory J Czarnota
Journal:  Oncotarget       Date:  2017-03-21

10.  Quantitative ultrasound imaging of therapy response in bladder cancer in vivo.

Authors:  William T Tran; Lakshmanan Sannachi; Naum Papanicolau; Hadi Tadayyon; Azza Al Mahrouki; Ahmed El Kaffas; Alborz Gorjizadeh; Justin Lee; Gregory J Czarnota
Journal:  Oncoscience       Date:  2016-04-18
  10 in total

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