ISMRM Low field workshop KH

KH
by Katie Hanna2 views·Updated Mar 3, 2022

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  1. how many's Katie Hannah and I'm a final Your PhD student at the University of
  2. Aberdeen on today are representing on our pre
  3. clinical work using fast food cycling anymore.
  4. We like solitary
  5. to city breast cancer,
  6. So I just want to introduce my research
  7. question on discuss why we're actually sitting this
  8. So for your breast cancer is one of the leading causes of cancer related deaths.
  9. World weighed
  10. on.
  11. According to the global can estimates 680,000 deaths were recorded in 2020 alone.
  12. The majority of these deaths can be attributed to mental cited disease,
  13. whereby the tumour has spread from its primary state, the breast
  14. to distant targets.
  15. The majority of metastatic cases of either a
  16. result of initial diagnosis occurring at a late stage
  17. or recurrence from a previous breast cancer diagnosis
  18. and therapeutic options for metastatic disease are currently rather limited
  19. and as such remains largely incurable.
  20. Therefore,
  21. the early detection and accurate assessment of
  22. recurrence risk in the early stages of disease
  23. is imperative for 80 treatment decisions and improving outcomes.
  24. So and I do tool for investigating breast cancer would be one
  25. that could not evasively and objectively
  26. provide quantitative information on sugar characteristics
  27. and one potential candidate could help achieve
  28. this goal is asked about cycling anymore.
  29. This is a tape of the solitary that
  30. involves the use of a rapidly changing magnetic field
  31. to facilitate the measurement of the longitudinal relaxation time
  32. or rate as a function of magnetic field strengths
  33. and on the left.
  34. Here is just a schematic of a typical fast politically pulse sequence,
  35. which comprises of three distinct fertile period polarisation,
  36. evolution and detection,
  37. each of which are applied at a different magnetic field strength.
  38. About repeating this sequence we can obtain T Warner
  39. are one values over a range of evolution.
  40. Field
  41. everything plot this as a dispersion curve.
  42. Biological tissue are one or 21 dispersion is related
  43. to the motion and international water at proteins,
  44. which is some of the most abundant proton containing elements
  45. on the dynamics of these component molecules.
  46. Within tissue is greatly depending on whom you static balance,
  47. which itself is lost in the licensee
  48. in the overall shape of the dispersion curve,
  49. is determined by all of the molecular dynamics within the tissue,
  50. and it's sensitive to any modifications to its architecture
  51. and alterations to normal tissue architecture of some of the
  52. key events that lead to malignant transformation and medicine.
  53. Attic progression.
  54. And so the physical information contained within the dispersion curve
  55. could prove to be a rich source of diagnostic or prognostic information.
  56. So the main objectives of this study are
  57. to discredit the physical features of this book.
  58. Repeating this sequence.
  59. We can obtain t one or are one values over a range of evolution fields.
  60. I was employed this as a dispersion curve.
  61. Biological tissue are one or 21 dispersion is related
  62. to the motion and international water at proteins,
  63. which is some of the most abundant proton containing elements
  64. on.
  65. The dynamics of these component molecules of in tissue
  66. is greatly depending on whom your static balance,
  67. which is self, is lost in the licensee.
  68. And the overall shape of the dispersion curve is determined
  69. by all of the molecular dynamics within the tissue.
  70. On its sensitive to any modifications to his architecture
  71. and alterations to normal tissue architecture of some of the
  72. key events that lead to malignant transformation and medicine.
  73. Attic progression.
  74. And so the physical information contained within the dispersion curve
  75. could prove to be a rich source of diagnostic prognostic information.
  76. So remain objectives of the study are to describe
  77. the physical features of disparaging currents from human grace.
  78. Cancer tissue samples from the two heroes on on the surrounding regions
  79. on then to use mathematical models to investigate her.
  80. Numerical parameters derived from these cars
  81. could potentially serve as bio markers for breast cancer detection.
  82. And this gratification
  83. So with ethical approval.
  84. Issue was obtained from 20 female breast cancer patients undergoing Wade
  85. local excision and mistake to me at the Aberdeen Royal Infirmary
  86. Specimen or Fixing for Mullen.
  87. And then samples were obtained from different areas
  88. of each of the 20 century post vestment
  89. shown in the diagram.
  90. A special
  91. use pressed his the pathologist,
  92. a specialist breast test a pathologist.
  93. Nature of the samples was recently validated by a second test. The Pathologist
  94. Dispersion Council Rickard from each of the 140 fixed
  95. tissue samples using the smart trace a spell.
  96. Taylor,
  97. These in this factory so still benched. Hoppy likes ometer.
  98. Yeah, some of her measurements were performed at 37 degrees
  99. on each sample was scanned with 30 different evolution fields.
  100. In the points, there was little 1 to 8 megahertz proton, lamb or frequency beach
  101. arwen dispersion codes required for each sample within 20 minutes.
  102. So they announce of dispersion currents has achieved using this offer fit like two,
  103. which is coded under Matt Lab.
  104. All the raw data from the relaxed orbiter was imported into the software
  105. on the fitting of each privatisation to keep Carver's
  106. Carriedo by using the same process and paint,
  107. then each time
  108. to generate the dispersion codes.
  109. So next I just clotted the average Kirsten each region,
  110. and we can actually see clear and distinct dispersion curves,
  111. particularly between the tumour and the pink and the three other regions.
  112. All cars demonstrated a downward linear trend,
  113. were imported using a double or graphic scale.
  114. And this corresponds to power laws.
  115. And previous work by our team has found that the
  116. power long model fits very well with such dispersion cars.
  117. And since two or three relaxation regimes
  118. highlighted by the dotted lines or visible from the average curves,
  119. each individual dispersion curve was fit using their
  120. two out of three segment power model.
  121. So next year,
  122. medical parameters from the parallel equations were exported and evaluated,
  123. and here I've just tried to show the schematically.
  124. So we have the soap that low, medium and high field,
  125. the transition frequencies between them and also the
  126. vertical of state of the whole curve.
  127. First,
  128. the medical parameters were evaluated in the context of the tissue region
  129. to investigate the utility for the detection and diagnosis of breast cancer.
  130. Actually, the vertical offset this so but low medium high field Andre.
  131. So next you medical parameters from the
  132. power law equations were exported and evaluated.
  133. And here I've just tried to show the schematically.
  134. So we have the soap that low, medium and high field,
  135. the transition frequencies between them and also the
  136. vertical of state of the whole curve.
  137. First light.
  138. These numerical parameters were evaluated in the context of the tissue region.
  139. Investigate the utility for the detection and diagnosis of breast cancer.
  140. Actually,
  141. the vertical offset this so but low medium high field on
  142. the high court transition frequency
  143. could all significantly distinguish the tumour
  144. from all are some of the other regions of breast tissue.
  145. Secondly,
  146. these numerical parameters were evaluated in the
  147. context of nautical proposing index scores,
  148. and this is an internationally validated clinical pathological tool
  149. that is used for Rhys transit vacation in breast cancer patients on.
  150. Based on the score, patients can be grouped into one of five diagnostic categories.
  151. Excellent, good,
  152. moderate, one moderate to and poor.
  153. So the patients in our study belong to the latter three categories.
  154. So I've just displayed box plots from the statistically significant comparisons.
  155. And interestingly, it was actually the dispersion curves from the distant,
  156. non cancerous tissue
  157. that produced significant differences,
  158. possibly suggesting that the earliest by physical changes
  159. related to disease progression a current in the periphery
  160. rather than within
  161. the tumour itself.
  162. When I was looking at the box,
  163. possibly each of the region's actually noticed that in the normal and
  164. oppose group a reduction in the median vertical offset and soap medium field
  165. parlour the worst prognosis.
  166. And actually we did find that there was a
  167. moderate negative correlation between the noting on producing index,
  168. moderate tiu and poor.
  169. So the patients in our study belong to the latter C categories.
  170. So I've just displayed box parts from
  171. the statistical significant comparisons and interestingly,
  172. it was actually the dispersion curves from the distant, non cancerous tissue
  173. that produce significant differences,
  174. possibly suggesting that the earliest by
  175. physical changes related to disease progression,
  176. a current in the periphery
  177. rather than within
  178. the tumour itself.
  179. When I was looking at the box,
  180. possibly each of the region's actually noticed that in the normal Adipose
  181. Group a reduction in the median vertical offset and soap medium field
  182. parlour the worst prognosis.
  183. And actually we did find that there was a moderate negative
  184. correlation between the Nottingham Progressive Index
  185. score on the vertical officer,
  186. or so put low field
  187. or so but medium field.
  188. So just to finish,
  189. we have shown that significant difference exists between the physical
  190. dispersion curve of cancers and non cancer is placed issue,
  191. which is an agreement with previous work carried out by our group and others.
  192. And here we have made the first step to systematically
  193. establish quantification of dispersion cars from breast cancer samples.
  194. And overall, we have shown that the decision comes in me house novel,
  195. Quantitative diagnostic and problems State biomarkers.
  196. Thank you so much for listening