1
|
Steenhout C, Deprez L, Hustinx R, Withofs N. Brain Tumor Assessment: Integrating PET/Computed Tomography and MR Imaging Modalities. PET Clin 2025; 20:165-174. [PMID: 39477722 DOI: 10.1016/j.cpet.2024.09.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2024]
Abstract
While MR imaging is the main imaging modality to assess brain tumors, PET imaging has a specific role. Among the many tracers that have been proposed and are still being developed, 2-[18F]fluoro-2-deoxy-d-glucose ([18F]FDG) and O-(2-[18F]-fluoroethyl)-l-tyrosine ([18F]FET) PET remain the most solidly established in the clinics. In particular, [18F]FET has gained increased acceptance due to its higher sensitivity. In this paper, we present an overview of the current clinical status of brain tumor imaging, with emphasis on PET imaging.
Collapse
Affiliation(s)
- Camille Steenhout
- Division of Nuclear Medicine and Oncological Imaging, University Hopsital of Liège, Avenue de l'Hôpital 1, Liège B-4000, Belgium
| | - Louis Deprez
- Division of Nuclear Medicine and Oncological Imaging, University Hopsital of Liège, Avenue de l'Hôpital 1, Liège B-4000, Belgium
| | - Roland Hustinx
- Division of Nuclear Medicine and Oncological Imaging, University Hopsital of Liège, Avenue de l'Hôpital 1, Liège B-4000, Belgium
| | - Nadia Withofs
- Division of Nuclear Medicine and Oncological Imaging, University Hopsital of Liège, Avenue de l'Hôpital 1, Liège B-4000, Belgium.
| |
Collapse
|
2
|
Robert JA, Leclerc A, Ducloie M, Emery E, Agostini D, Vigne J. Contribution of [ 18F]FET PET in the Management of Gliomas, from Diagnosis to Follow-Up: A Review. Pharmaceuticals (Basel) 2024; 17:1228. [PMID: 39338390 PMCID: PMC11435125 DOI: 10.3390/ph17091228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2024] [Revised: 09/14/2024] [Accepted: 09/15/2024] [Indexed: 09/30/2024] Open
Abstract
Gliomas, the most common type of primary malignant brain tumors in adults, pose significant challenges in diagnosis and management due to their heterogeneity and potential aggressiveness. This review evaluates the utility of O-(2-[18F]fluoroethyl)-L-tyrosine ([18F]FET) positron emission tomography (PET), a promising imaging modality, to enhance the clinical management of gliomas. We reviewed 82 studies involving 4657 patients, focusing on the application of [18F]FET in several key areas: diagnosis, grading, identification of IDH status and presence of oligodendroglial component, guided resection or biopsy, detection of residual tumor, guided radiotherapy, detection of malignant transformation in low-grade glioma, differentiation of recurrence versus treatment-related changes and prognostic factors, and treatment response evaluation. Our findings confirm that [18F]FET helps delineate tumor tissue, improves diagnostic accuracy, and aids in therapeutic decision-making by providing crucial insights into tumor metabolism. This review underscores the need for standardized parameters and further multicentric studies to solidify the role of [18F]FET PET in routine clinical practice. By offering a comprehensive overview of current research and practical implications, this paper highlights the added value of [18F]FET PET in improving management of glioma patients from diagnosis to follow-up.
Collapse
Affiliation(s)
- Jade Apolline Robert
- CHU de Caen Normandie, UNICAEN, Department of Nuclear Medicine, Normandie Université, 14000 Caen, France; (J.A.R.)
| | - Arthur Leclerc
- Department of Neurosurgery, Caen University Hospital, 14000 Caen, France
- Caen Normandie University, ISTCT UMR6030, GIP Cyceron, 14000 Caen, France
| | - Mathilde Ducloie
- Department of Neurology, Caen University Hospital, 14000 Caen, France
- Centre François Baclesse, Department of Neurology, 14000 Caen, France
| | - Evelyne Emery
- Department of Neurosurgery, Caen University Hospital, 14000 Caen, France
| | - Denis Agostini
- CHU de Caen Normandie, UNICAEN, Department of Nuclear Medicine, Normandie Université, 14000 Caen, France; (J.A.R.)
| | - Jonathan Vigne
- CHU de Caen Normandie, UNICAEN, Department of Nuclear Medicine, Normandie Université, 14000 Caen, France; (J.A.R.)
- CHU de Caen Normandie, UNICAEN Department of Pharmacy, Normandie Université, 14000 Caen, France
- Centre Cyceron, Institut Blood and Brain @ Caen-Normandie, Normandie Université, UNICAEN, INSERM U1237, PhIND, 14000 Caen, France
| |
Collapse
|
3
|
Lv Y, Liu J, Tian X, Yang P, Pan Y. CFINet: Cross-Modality MRI Feature Interaction Network for Pseudoprogression Prediction of Glioblastoma. J Comput Biol 2024. [PMID: 38975725 DOI: 10.1089/cmb.2024.0518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/09/2024] Open
Abstract
Pseudoprogression (PSP) is a related reaction of glioblastoma treatment, and misdiagnosis can lead to unnecessary intervention. Magnetic resonance imaging (MRI) provides cross-modality images for PSP prediction studies. However, how to effectively use the complementary information between the cross-modality MRI to improve PSP prediction is still a challenging task. To address this challenge, we propose a cross-modality feature interaction network for PSP prediction. Firstly, we propose a triple-branch multi-scale module to extract low-order feature representations and a skip-connection multi-scale module to extract high-order feature representations. Then, a cross-modality interaction module based on attention mechanism is designed to make the complementary information between cross-modality MRI fully interact. Finally, the high-order cross-modality interaction information is fed into a multi-layer perceptron to achieve the PSP prediction task. We evaluate the proposed network on a private dataset with 52 subjects from Hunan Cancer Hospital and validate it on a private dataset with 30 subjects from Xiangya Hospital. The accuracy of our proposed network on the datasets is 0.954 and 0.929, respectively, which is better than most typical convolutional neural network and interaction methods.
Collapse
Affiliation(s)
- Ya Lv
- Xinjiang Engineering Research Center of Big Data and Intelligent Software, School of Software, Xinjiang University, Wulumuqi, China
| | - Jin Liu
- Xinjiang Engineering Research Center of Big Data and Intelligent Software, School of Software, Xinjiang University, Wulumuqi, China
- Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha, China
| | - Xu Tian
- Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha, China
| | - Pei Yang
- Radiation Oncology Department, Hunan Cancer Hospital, Changsha, China
| | - Yi Pan
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| |
Collapse
|
4
|
Kim D, Lee SH, Hwang HS, Kim SJ, Yun M. Recent Update on PET/CT Radiotracers for Imaging Cerebral Glioma. Nucl Med Mol Imaging 2024; 58:237-245. [PMID: 38932755 PMCID: PMC11196511 DOI: 10.1007/s13139-024-00847-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 01/16/2024] [Accepted: 01/29/2024] [Indexed: 06/28/2024] Open
Abstract
Positron emission tomography/computed tomography (PET/CT) has dramatically altered the landscape of noninvasive glioma evaluation, offering complementary insights to those gained through magnetic resonance imaging (MRI). PET/CT scans enable a multifaceted analysis of glioma biology, supporting clinical applications from grading and differential diagnosis to mapping the full extent of tumors and planning subsequent treatments and evaluations. With a broad array of specialized radiotracers, researchers and clinicians can now probe various biological characteristics of gliomas, such as glucose utilization, cellular proliferation, oxygen deficiency, amino acid trafficking, and reactive astrogliosis. This review aims to provide a recent update on the application of versatile PET/CT radiotracers in glioma research and clinical practice.
Collapse
Affiliation(s)
- Dongwoo Kim
- Department of Nuclear Medicine, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-Ro, Seodaemun-Gu, Seoul, 03722 Republic of Korea
| | - Suk-Hyun Lee
- Department of Radiology, Hallym University Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, 07441 Republic of Korea
| | - Hee Sung Hwang
- Department of Nuclear Medicine, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, 14068 Republic of Korea
| | - Sun Jung Kim
- Department of Nuclear Medicine, National Health Insurance Service Ilsan Hospital, Goyang, 10444 Republic of Korea
| | - Mijin Yun
- Department of Nuclear Medicine, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-Ro, Seodaemun-Gu, Seoul, 03722 Republic of Korea
| |
Collapse
|
5
|
Manzarbeitia-Arroba B, Hodolic M, Pichler R, Osipova O, Soriano-Castrejón ÁM, García-Vicente AM. 18F-Fluoroethyl-L Tyrosine Positron Emission Tomography Radiomics in the Differentiation of Treatment-Related Changes from Disease Progression in Patients with Glioblastoma. Cancers (Basel) 2023; 16:195. [PMID: 38201621 PMCID: PMC10778283 DOI: 10.3390/cancers16010195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 12/10/2023] [Accepted: 12/23/2023] [Indexed: 01/12/2024] Open
Abstract
The follow-up of glioma patients after therapeutic intervention remains a challenging topic, as therapy-related changes can emulate true progression in contrast-enhanced magnetic resonance imaging. 18F-fluoroethyl-tyrosine (18F-FET) is a radiopharmaceutical that accumulates in glioma cells due to an increased expression of L-amino acid transporters and, contrary to gadolinium, does not depend on blood-brain barrier disruption to reach tumoral cells. It has demonstrated a high diagnostic value in the differentiation of tumoral viability and pseudoprogression or any other therapy-related changes, especially when combining traditional visual analysis with modern radiomics. In this review, we aim to cover the potential role of 18F-FET positron emission tomography in everyday clinical practice when applied to the follow-up of patients after the first therapeutical intervention, early response evaluation, and the differential diagnosis between therapy-related changes and progression.
Collapse
Affiliation(s)
| | - Marina Hodolic
- Nuclear Medicine Department, Faculty of Medicine and Dentistry, Palacky University, 779 00 Olomouc, Czech Republic;
| | - Robert Pichler
- Institute of Nuclear Medicine Kepler University Hospital—Neuromed Campus, 4020 Linz, Austria; (R.P.); (O.O.)
| | - Olga Osipova
- Institute of Nuclear Medicine Kepler University Hospital—Neuromed Campus, 4020 Linz, Austria; (R.P.); (O.O.)
| | | | - Ana María García-Vicente
- Nuclear Medicine Department, University Hospital of Toledo, 45007 Toledo, Spain; (B.M.-A.); (Á.M.S.-C.)
| |
Collapse
|