TY - JOUR
T1 - Cancer metabolism and tumor heterogeneity
T2 - Imaging perspectives using MR imaging and spectroscopy
AU - Lin, Gigin
AU - Keshari, Kayvan R.
AU - Park, Jae Mo
N1 - Funding Information:
This work was supported by Chang Gung Medical Foundation grant CIRPG3E0022 (to Gigin Lin); National Science Council (Taiwan) MOST 104-2314-B-182A-095-MY3 (to Gigin Lin); National Institute of Health (USA) grant P30 CA008748 (toKayvanR. Keshari),R01CA195476 (toKayvan R. Keshari), R21 CA212958 (to Kayvan R. Keshari), P41 EB015908 (to Jae Mo Park), and S10 OD018468 (to Jae Mo Park); UT Southwestern Mobility Foundation Center (to Jae Mo Park); The Texas Institute of Brain Injury and Repair (to Jae Mo Park).
Publisher Copyright:
© 2017 Gigin Lin et al.
PY - 2017
Y1 - 2017
N2 - Cancer cells reprogram their metabolism to maintain viability via genetic mutations and epigenetic alterations, expressing overall dynamic heterogeneity. The complex relaxation mechanisms of nuclear spins provide unique and convertible tissue contrasts, making magnetic resonance imaging (MRI) and magnetic resonance spectroscopy (MRS) pertinent imaging tools in both clinics and research. In this review, we summarized MR methods that visualize tumor characteristics and its metabolic phenotypes on an anatomical, microvascular, microstructural, microenvironmental, and metabolomics scale. The review will progress from the utilities of basic spin-relaxation contrasts in cancer imaging to more advanced imaging methods that measure tumor-distinctive parameters such as perfusion, water diffusion, magnetic susceptibility, oxygenation, acidosis, redox state, and cell death. Analytical methods to assess tumor heterogeneity are also reviewed in brief. Although the clinical utility of tumor heterogeneity from imaging is debatable, the quantification of tumor heterogeneity using functional and metabolic MR images with development of robust analytical methods and improved MR methods may offer more critical roles of tumor heterogeneity data in clinics. MRI/MRS can also provide insightful information on pharmacometabolomics, biomarker discovery, disease diagnosis and prognosis, and treatment response. With these future directions in mind, we anticipate the widespread utilization of these MR-based techniques in studying in vivo cancer biology to better address significant clinical needs.
AB - Cancer cells reprogram their metabolism to maintain viability via genetic mutations and epigenetic alterations, expressing overall dynamic heterogeneity. The complex relaxation mechanisms of nuclear spins provide unique and convertible tissue contrasts, making magnetic resonance imaging (MRI) and magnetic resonance spectroscopy (MRS) pertinent imaging tools in both clinics and research. In this review, we summarized MR methods that visualize tumor characteristics and its metabolic phenotypes on an anatomical, microvascular, microstructural, microenvironmental, and metabolomics scale. The review will progress from the utilities of basic spin-relaxation contrasts in cancer imaging to more advanced imaging methods that measure tumor-distinctive parameters such as perfusion, water diffusion, magnetic susceptibility, oxygenation, acidosis, redox state, and cell death. Analytical methods to assess tumor heterogeneity are also reviewed in brief. Although the clinical utility of tumor heterogeneity from imaging is debatable, the quantification of tumor heterogeneity using functional and metabolic MR images with development of robust analytical methods and improved MR methods may offer more critical roles of tumor heterogeneity data in clinics. MRI/MRS can also provide insightful information on pharmacometabolomics, biomarker discovery, disease diagnosis and prognosis, and treatment response. With these future directions in mind, we anticipate the widespread utilization of these MR-based techniques in studying in vivo cancer biology to better address significant clinical needs.
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U2 - 10.1155/2017/6053879
DO - 10.1155/2017/6053879
M3 - Review article
C2 - 29114178
AN - SCOPUS:85039549434
SN - 1555-4309
VL - 2017
JO - Contrast Media and Molecular Imaging
JF - Contrast Media and Molecular Imaging
M1 - 6053879
ER -