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T1-mapping characterization of two tumor types.
Payne, Macy Marie; Mali, Ivina; Shrestha, Tej B; Basel, Matthew T; Timmerman, Sarah; Pyle, Marla; Sebek, Jan; Prakash, Punit; Bossmann, Stefan H.
Afiliación
  • Payne MM; Department of Cancer Biology, University of Kansas Medical Center, Kansas City, Kansas.
  • Mali I; Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, California.
  • Shrestha TB; Department of Anatomy and Physiology, Kansas State University, Manhattan, Kansas.
  • Basel MT; Department of Anatomy and Physiology, Kansas State University, Manhattan, Kansas.
  • Timmerman S; College of Veterinary Medicine, Kansas State University, Manhattan, Kansas.
  • Pyle M; Department of Anatomy and Physiology, Kansas State University, Manhattan, Kansas.
  • Sebek J; Department of Electrical and Computer Engineering, Kansas State University, Manhattan, Kansas.
  • Prakash P; Department of Electrical and Computer Engineering, Kansas State University, Manhattan, Kansas.
  • Bossmann SH; Department of Cancer Biology, University of Kansas Medical Center, Kansas City, Kansas. Electronic address: sbossmann@kumc.edu.
Biophys Rep (N Y) ; 4(2): 100157, 2024 Jun 12.
Article en En | MEDLINE | ID: mdl-38795740
ABSTRACT
T1 mapping is a quantitative method to characterize tissues with magnetic resonance imaging in a quick and efficient manner. It utilizes the relaxation rate of protons to depict the underlying structures within the imaging frame. While T1-mapping techniques are used with some frequency in areas such as cardiac imaging, their application for understanding malignancies and identifying tumor structures has yet to be thoroughly investigated. Utilizing a saturation recovery method to acquire T1 maps for two different tumor models has revealed that longitudinal relaxation mapping is sensitive enough to distinguish between normal and malignant tissue. This is seen even with decreased signal/noise ratios using small voxel sizes to obtain high-resolution images. In both tumor models, it was revealed that relaxation mapping recorded significantly different relaxation values between regions encapsulating the tumor, muscle, kidney, or spleen, as well as between the cell lines themselves. This indicates a potential future application of relaxation mapping as a method to fingerprint various stages of tumor development and may prove a useful measure to identify micro-metastases.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Imagen por Resonancia Magnética Límite: Animals / Humans Idioma: En Revista: Biophys Rep (N Y) Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Imagen por Resonancia Magnética Límite: Animals / Humans Idioma: En Revista: Biophys Rep (N Y) Año: 2024 Tipo del documento: Article