Clinical Review of Computed Tomography and MR Perfusion Imaging in Neuro-Oncology

Trinh, Austin; Wintermark, Max; Michael, Cassia

doi:10.1016/j.rcl.2021.01.002

Cited by 5 publications

(4 citation statements)

References 42 publications

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“…DCE-MRI studies consistently reported increased Ktrans [82,152,166,173,183,[203][204][205][206][207], which constitutes the most commonly investigated parameter. Despite this indicator in healthy conditions primarily reflecting BBB permeability, it should be treated with caution in cases of disrupted BBB-such as in high-grade gliomas-where it is more reflective of and limited by blood flow (see Table 2) [208]. Other DCE-derived metrics that are increased in high-grade gliomas include Ve [82,182,[203][204][205][206], Vp [166,173,209] and AUC [82].…”

Section: Glioma Grading/subtypementioning

confidence: 99%

Hemodynamic Imaging in Cerebral Diffuse Glioma—Part A: Concept, Differential Diagnosis and Tumor Grading

Guida

Stumpo

Bellomo

et al. 2022

Cancers

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Diffuse gliomas are the most common primary malignant intracranial neoplasms. Aside from the challenges pertaining to their treatment—glioblastomas, in particular, have a dismal prognosis and are currently incurable—their pre-operative assessment using standard neuroimaging has several drawbacks, including broad differentials diagnosis, imprecise characterization of tumor subtype and definition of its infiltration in the surrounding brain parenchyma for accurate resection planning. As the pathophysiological alterations of tumor tissue are tightly linked to an aberrant vascularization, advanced hemodynamic imaging, in addition to other innovative approaches, has attracted considerable interest as a means to improve diffuse glioma characterization. In the present part A of our two-review series, the fundamental concepts, techniques and parameters of hemodynamic imaging are discussed in conjunction with their potential role in the differential diagnosis and grading of diffuse gliomas. In particular, recent evidence on dynamic susceptibility contrast, dynamic contrast-enhanced and arterial spin labeling magnetic resonance imaging are reviewed together with perfusion-computed tomography. While these techniques have provided encouraging results in terms of their sensitivity and specificity, the limitations deriving from a lack of standardized acquisition and processing have prevented their widespread clinical adoption, with current efforts aimed at overcoming the existing barriers.

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Section: Glioma Grading/subtypementioning

confidence: 99%

Hemodynamic Imaging in Cerebral Diffuse Glioma—Part A: Concept, Differential Diagnosis and Tumor Grading

Guida

Stumpo

Bellomo

et al. 2022

Cancers

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“…Importantly, current improvements in MRI approaches can provide helpful physiological and functional information [ 22 ]. The emergence of novel MRI perfusion techniques offers enhanced procedures for tumor grading, guiding stereotactic biopsies, and monitoring treatment efficacy [ 23 ]. Perfusion imaging can help in treatment-related decision making, identify treatment-related processes (i.e., radiation necrosis, pseudoprogression, and pseudoregression), and be helpful to differentiate between tumor types and between tumor and non-neoplastic conditions [ 23 ].…”

Section: Neuroimagingmentioning

confidence: 99%

Diagnosis of Glioblastoma by Immuno-Positron Emission Tomography

Ruiz-López

Calatayud-Pérez

Castells-Yus

et al. 2021

Cancers

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Neuroimaging has transformed neuro-oncology and the way that glioblastoma is diagnosed and treated. Magnetic Resonance Imaging (MRI) is the most widely used non-invasive technique in the primary diagnosis of glioblastoma. Although MRI provides very powerful anatomical information, it has proven to be of limited value for diagnosing glioblastomas in some situations. The final diagnosis requires a brain biopsy that may not depict the high intratumoral heterogeneity present in this tumor type. The revolution in “cancer-omics” is transforming the molecular classification of gliomas. However, many of the clinically relevant alterations revealed by these studies have not yet been integrated into the clinical management of patients, in part due to the lack of non-invasive biomarker-based imaging tools. An innovative option for biomarker identification in vivo is termed “immunotargeted imaging”. By merging the high target specificity of antibodies with the high spatial resolution, sensitivity, and quantitative capabilities of positron emission tomography (PET), “Immuno-PET” allows us to conduct the non-invasive diagnosis and monitoring of patients over time using antibody-based probes as an in vivo, integrated, quantifiable, 3D, full-body “immunohistochemistry” in patients. This review provides the state of the art of immuno-PET applications and future perspectives on this imaging approach for glioblastoma.

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“…4,5 Conventional techniques for perfusion imaging in oncology are CT and MR imaging. 10 CT perfusion imaging provides information on tissue hemodynamics by analyzing the first passage of an intravenous contrast bolus through the vessels. On the other hand, MR perfusion imaging utilizes either endogenous or exogenous tracers.…”

Section: Introductionmentioning

confidence: 99%

“…While both imaging techniques are promising, radiation exposure (CT), potential adverse events due to contrast (CT/MRI), limited access (MRI), high cost (MRI), and inability to scan at the bedside or in operating theater are disadvantages of the conventional techniques. 10 To address these shortcomings, various imaging techniques, including optical imaging, have been explored for tissue perfusion imaging. 11,12 In optical imaging, the optical contrast of tissues is intrinsically sensitive to tissue abnormalities, such as changes in oxygenation, blood concentration or scattering.…”

Section: Introductionmentioning

confidence: 99%

Imaging perfusion changes in oncological clinical applications by hyperspectral imaging: a literature review

Hren

Serša

Simončič

et al. 2022

Radiology and Oncology

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Background Hyperspectral imaging (HSI) is a promising imaging modality that uses visible light to obtain information about blood flow. It has the distinct advantage of being noncontact, nonionizing, and noninvasive without the need for a contrast agent. Among the many applications of HSI in the medical field are the detection of various types of tumors and the evaluation of their blood flow, as well as the healing processes of grafts and wounds. Since tumor perfusion is one of the critical factors in oncology, we assessed the value of HSI in quantifying perfusion changes during interventions in clinical oncology through a systematic review of the literature. Materials and methods The PubMed and Web of Science electronic databases were searched using the terms “hyperspectral imaging perfusion cancer” and “hyperspectral imaging resection cancer”. The inclusion criterion was the use of HSI in clinical oncology, meaning that all animal, phantom, ex vivo, experimental, research and development, and purely methodological studies were excluded. Results Twenty articles met the inclusion criteria. The anatomic locations of the neoplasms in the selected articles were as follows: kidneys (1 article), breasts (2 articles), eye (1 article), brain (4 articles), entire gastrointestinal (GI) tract (1 article), upper GI tract (5 articles), and lower GI tract (6 articles). Conclusions HSI is a potentially attractive imaging modality for clinical application in oncology, with assessment of mastectomy skin flap perfusion after reconstructive breast surgery and anastomotic perfusion during reconstruction of gastrointenstinal conduit as the most promising at present.

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Clinical Review of Computed Tomography and MR Perfusion Imaging in Neuro-Oncology

Cited by 5 publications

References 42 publications

Hemodynamic Imaging in Cerebral Diffuse Glioma—Part A: Concept, Differential Diagnosis and Tumor Grading

Hemodynamic Imaging in Cerebral Diffuse Glioma—Part A: Concept, Differential Diagnosis and Tumor Grading

Diagnosis of Glioblastoma by Immuno-Positron Emission Tomography

Imaging perfusion changes in oncological clinical applications by hyperspectral imaging: a literature review

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