Intra-tumoral susceptibility signals in brain gliomas: where do we stand?

被引:0
作者
Cataldi, Simone [1 ]
Feraco, Paola [2 ]
Marrale, Maurizio [3 ]
Alongi, Pierpaolo [1 ,4 ]
Geraci, Laura [5 ]
Grutta, Ludovico La [6 ]
Caruso, Giuseppe [1 ]
Bartolotta, Tommaso Vincenzo [1 ]
Midiri, Massimo [1 ]
Gagliardo, Cesare [1 ,7 ]
机构
[1] Univ Palermo, Dept Biomed Neurosci & Adv Diagnost BIND, Palermo, Italy
[2] Univ Trento, Ctr Med Sci CISMed, Trento, Italy
[3] Univ Palermo, Dept Phys & Chem Emilio Segre, Palermo, Italy
[4] ARNAS Civ, Dept Radiol Sci, Nucl Med Unit, Palermo, Italy
[5] ARNAS Civ, Dept Radiol Sci, Neuroradiol Unit, Palermo, Italy
[6] Univ Palermo, Dept Hlth Promot Mother & Child Care, Internal Med & Med Specialties PROMISE, Palermo, Italy
[7] University, Hosp Paolo Giaccone, Neuroradiol Unit, Palermo, Italy
来源
FRONTIERS IN RADIOLOGY | 2025年 / 5卷
关键词
magnetic resonance imaging; susceptibility-weighted imaging; intra-tumoral susceptibility signals; brain; glioma; CENTRAL-NERVOUS-SYSTEM; NECROTIC GLIOBLASTOMAS; DIFFERENTIATION; ABSCESSES; GRADE; OLIGODENDROGLIOMAS; HEMORRHAGE; DIFFUSION; THERAPY;
D O I
10.3389/fradi.2025.1546069
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Nowadays, the genetic and biomolecular profile of neoplasms-related with their biological behaviour-have become a key issue in oncology, as they influence many aspects of both diagnosis and treatment. In the neuro-oncology field, neuroradiological research has recently explored the potential of non-invasively predicting the molecular phenotype of primary brain neoplasms, particularly gliomas, based on magnetic resonance imaging (MRI), using both conventional and advanced imaging techniques. Among these, diffusion-weighted imaging (DWI), perfusion-weighted imaging (PWI), MR spectroscopy (MRS) and susceptibility-weighted imaging (SWI) and have been used to explore various aspects of glioma biology, including predicting treatment response and understanding treatment-related changes during follow-up imaging. Recently, intratumoral susceptibility signals (ITSSs)-visible on SWI-have been recognised as an important new imaging tool in the evaluation of brain gliomas, as they offer a fast and simple non-invasive window into their microenvironment. These intratumoral hypointensities reflect critical pathological features such as microhemorrhages, calcifications, necrosis and vascularization. Therefore, ITSSs can provide neuroradiologists with more biological information for glioma differential diagnosis, grading and subtype differentiation, providing significant clinical support in prognosis assessment, therapeutic management and treatment response evaluation. This review summarizes recent advances in ITSS applications in glioma assessment, emphasizing both its potential and limitations while referencing key studies in the field.
引用
收藏
页数:8
相关论文
共 67 条
[1]   Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach [J].
Aerts, Hugo J. W. L. ;
Velazquez, Emmanuel Rios ;
Leijenaar, Ralph T. H. ;
Parmar, Chintan ;
Grossmann, Patrick ;
Cavalho, Sara ;
Bussink, Johan ;
Monshouwer, Rene ;
Haibe-Kains, Benjamin ;
Rietveld, Derek ;
Hoebers, Frank ;
Rietbergen, Michelle M. ;
Leemans, C. Rene ;
Dekker, Andre ;
Quackenbush, John ;
Gillies, Robert J. ;
Lambin, Philippe .
NATURE COMMUNICATIONS, 2014, 5
[2]   Physiological functions and roles in cancer of the proliferation marker Ki-67 [J].
Andres-Sanchez, Nuria ;
Fisher, Daniel ;
Krasinska, Liliana .
JOURNAL OF CELL SCIENCE, 2022, 135 (11)
[3]   Understanding TERT Promoter Mutations: A Common Path to Immortality [J].
Bell, Robert J. A. ;
Rube, H. Tomas ;
Xavier-Magalhaes, Ana ;
Costa, Bruno M. ;
Mancini, Andrew ;
Song, Jun S. ;
Costello, Joseph F. .
MOLECULAR CANCER RESEARCH, 2016, 14 (04) :315-323
[4]   Quantitative vs. Semiquantitative Assessment of Intratumoral Susceptibility Signals in Patients With Different Grades of Glioma [J].
Bhattacharjee, Rupsa ;
Gupta, Rakesh Kumar ;
Patir, Rana ;
Vaishya, Sandeep ;
Ahlawat, Suneeta ;
Singh, Anup .
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2020, 51 (01) :225-233
[5]   MGMT Status as a Clinical Biomarker in Glioblastoma [J].
Butler, Madison ;
Pongor, Lorinc ;
Su, Yu-Ting ;
Xi, Liqiang ;
Raffeld, Mark ;
Quezado, Martha ;
Trepel, Jane ;
Aldape, Kenneth ;
Pommier, Yves ;
Wu, Jing .
TRENDS IN CANCER, 2020, 6 (05) :380-391
[6]  
Chen Wen-Jie, 2015, Asian Pac J Cancer Prev, V16, P411
[7]   Susceptibility-Weighted Imaging is More Reliable Than T2*-Weighted Gradient-Recalled Echo MRI for Detecting Microbleeds [J].
Cheng, Ah-Ling ;
Batool, Saima ;
McCreary, Cheryl R. ;
Lauzon, M. L. ;
Frayne, Richard ;
Goyal, Mayank ;
Smith, Eric E. .
STROKE, 2013, 44 (10) :2782-2786
[8]   Quantitative Susceptibility Mapping Differentiates between Blood Depositions and Calcifications in Patients with Glioblastoma [J].
Deistung, Andreas ;
Schweser, Ferdinand ;
Wiestler, Benedikt ;
Abello, Mario ;
Roethke, Matthias ;
Sahm, Felix ;
Wick, Wolfgang ;
Nagel, Armin Michael ;
Heiland, Sabine ;
Schlemmer, Heinz-Peter ;
Bendszus, Martin ;
Reichenbach, Juergen Rainer ;
Radbruch, Alexander .
PLOS ONE, 2013, 8 (03)
[9]  
Di Ieva Antonio, 2024, Adv Neurobiol, V36, P445, DOI 10.1007/978-3-031-47606-8_23
[10]   Three-dimensional susceptibility-weighted imaging at 7 T using fractal-based quantitative analysis to grade gliomas [J].
Di Ieva, Antonio ;
Goed, Sabine ;
Grabner, Guenther ;
Grizzi, Fabio ;
Sherif, Camillo ;
Matula, Christian ;
Tschabitscher, Manfred ;
Trattnig, Siegfrid .
NEURORADIOLOGY, 2013, 55 (01) :35-40