WFRF:(Giri DIlip D.)
Search: WFRF:(Giri DIlip D.) > (2021) > Multidimensional di...
- 1 of 1
- Previous record
- Next record
- To hitlist
Multidimensional diffusion magnetic resonance imaging for characterization of tissue microstructure in breast cancer patients : A prospective pilot study
-
- Naranjo, Isaac Daimiel (author)
- Memorial Sloan-Kettering Cancer Center,Guy's and St Thomas' NHS Foundation Trust
-
- Reymbaut, Alexis (author)
- Random Walk Imaging AB
-
- Brynolfsson, Patrik (author)
- Random Walk Imaging AB,NONPI Medical AB
- show more...
- show less...
- (creator_code:org_t)
- 2021-03-31
- 2021
- English.
- In: Cancers. - : MDPI AG. - 2072-6694. ; 13:7
- Journal article (peer-reviewed)
Abstract
Subject headings
Close
- Diffusion-weighted imaging is a non-invasive functional imaging modality for breast tumor characterization through apparent diffusion coefficients. Yet, it has so far been unable to intuitively inform on tissue microstructure. In this IRB-approved prospective study, we applied novel multidimensional diffusion (MDD) encoding across 16 patients with suspected breast cancer to evaluate its potential for tissue characterization in the clinical setting. Data acquired via custom MDD sequences was processed using an algorithm estimating non-parametric diffusion tensor distributions. The statistical descriptors of these distributions allow us to quantify tissue composition in terms of metrics informing on cell densities, shapes, and orientations. Additionally, signal fractions from specific cell types, such as elongated cells (bin1), isotropic cells (bin2), and free water (bin3), were teased apart. Histogram analysis in cancers and healthy breast tissue showed that cancers exhibited lower mean values of “size” (1.43 ± 0.54 × 10−3 mm2/s) and higher mean values of “shape” (0.47 ± 0.15) corresponding to bin1, while FGT (fibroglandular breast tissue) presented higher mean values of “size” (2.33 ± 0.22 × 10−3 mm2/s) and lower mean values of “shape” (0.27 ± 0.11) corresponding to bin3 (p < 0.001). Invasive carcinomas showed significant differences in mean signal fractions from bin1 (0.64 ± 0.13 vs. 0.4 ± 0.25) and bin3 (0.18 ± 0.08 vs. 0.42 ± 0.21) compared to ductal carcinomas in situ (DCIS) and invasive carcinomas with associated DCIS (p = 0.03). MDD enabled qualitative and quantitative evaluation of the composition of breast cancers and healthy glands.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Cancer and Oncology (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Radiologi och bildbehandling (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Radiology, Nuclear Medicine and Medical Imaging (hsv//eng)
Keyword
- Breast cancer
- Diffusion-weighted imaging
- Magnetic resonance imaging
- Multidimensional diffusion MRI
- Oscillating gradients
Publication and Content Type
- art (subject category)
- ref (subject category)
- 1 of 1
- Previous record
- Next record
- To hitlist
Find more in SwePub
- By the author/editor
- Naranjo, Isaac D ...
- Reymbaut, Alexis
- Brynolfsson, Pat ...
- Gullo, Roberto L ...
- Bryskhe, Karin
- Topgaard, Daniel
- show more...
- Giri, Dilip D.
- Reiner, Jeffrey ...
- Thakur, Sunitha ...
- Pinker-Domenig, ...
- show less...
- About the subject
-
- MEDICAL AND HEALTH SCIENCES
- MEDICAL AND HEAL ...
- and Clinical Medicin ...
- and Cancer and Oncol ...
-
- MEDICAL AND HEALTH SCIENCES
- MEDICAL AND HEAL ...
- and Clinical Medicin ...
- and Radiology Nuclea ...
- Articles in the publication
- Cancers
- By the university
- Lund University
Search outside SwePub
- Extend your search to:
- Google Book Search
- Google Scholar
Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.
- Copyright © LIBRIS - National Library Systems
- LIBRIS.kb.se
