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Morin L, Godard F, Aubriot-Lorton MH, Drouet C. Whole Spinal Cord FDG Uptake at PET/CT Caused by H3K27-Altered Diffuse Midline Glioma in an Adult Patient. Clin Nucl Med 2024; 49:e321-e323. [PMID: 38775827 DOI: 10.1097/rlu.0000000000005246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/05/2024]
Abstract
ABSTRACT Diffuse midline glioma, H3K27-altered, is a relatively new entity, characterized by H3K27M histone mutation. This rare pediatric disease with severe prognosis has recently been identified as a new subtype of diffuse astrocytoma due to major breakthrough in histopathological and molecular characterization of gliomas. We report a case of H3K27-altered diffuse midline glioma in a 30-year-old woman.
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Affiliation(s)
- Léo Morin
- From the Pathology Department, University Hospital François Mitterrand
| | - François Godard
- Nuclear Medicine Department, Centre Georges François Leclerc, Dijon, France
| | | | - Clément Drouet
- Nuclear Medicine Department, Centre Georges François Leclerc, Dijon, France
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2
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Mueller S, Kline C, Franson A, van der Lugt J, Prados M, Waszak SM, Plasschaert SLA, Molinaro AM, Koschmann C, Nazarian J. Rational combination platform trial design for children and young adults with diffuse midline glioma: A report from PNOC. Neuro Oncol 2024; 26:S125-S135. [PMID: 38124481 PMCID: PMC11066905 DOI: 10.1093/neuonc/noad181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Indexed: 12/23/2023] Open
Abstract
Background Diffuse midline glioma (DMG) is a devastating pediatric brain tumor unresponsive to hundreds of clinical trials. Approximately 80% of DMGs harbor H3K27M oncohistones, which reprogram the epigenome to increase the metabolic profile of the tumor cells. Methods We have previously shown preclinical efficacy of targeting both oxidative phosphorylation and glycolysis through treatment with ONC201, which activates the mitochondrial protease ClpP, and paxalisib, which inhibits PI3K/mTOR, respectively. Results ONC201 and paxalisib combination treatment aimed at inducing metabolic distress led to the design of the first DMG-specific platform trial PNOC022 (NCT05009992). Conclusions Here, we expand on the PNOC022 rationale and discuss various considerations, including liquid biome, microbiome, and genomic biomarkers, quality-of-life endpoints, and novel imaging modalities, such that we offer direction on future clinical trials in DMG.
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Affiliation(s)
- Sabine Mueller
- Department of Neurology, Neurosurgery and Pediatrics, University of California, San Francisco, California, USA
| | - Cassie Kline
- Division of Oncology, Department of Pediatrics, Children’s Hospital of Philadelphia, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Andrea Franson
- Department of Pediatrics, University of Michigan, Ann Arbor, Michigan, USA
| | | | - Michael Prados
- Department of Neurosurgery and Pediatrics, University of California, San Francisco, San Francisco, California, USA
| | - Sebastian M Waszak
- Department of Neurology, University of California, San Francisco, San Francisco, California, USA
- Laboratory of Computational Neuro-Oncology, Swiss Institute for Experimental Cancer Research, School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | | | - Annette M Molinaro
- Division of Biomedical Statistics and Informatics, Department of Neurosurgery, University of California, San Francisco, San Francisco, California, USA
| | - Carl Koschmann
- Department of Pediatrics, University of Michigan, Ann Arbor, Michigan, USA
| | - Javad Nazarian
- Research Center for Genetic Medicine, Children’s National Health System, Washington, District of Columbia, USA
- Brain Tumor Institute, Children’s National Health System, Washington, District of Columbia, USA
- DMG Research Center, Department of Pediatrics, University Children’s Hospital, University of Zurich, Zürich, Switzerland
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Akdemir EY, Odia Y, Hall MD, Mehta MP, Kotecha R. An Update on H3K27M-altered Diffuse Midline Glioma: Diagnostic and Therapeutic Challenges in Clinical Practice. Pract Radiat Oncol 2024:S1879-8500(24)00094-8. [PMID: 38704025 DOI: 10.1016/j.prro.2024.04.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Accepted: 04/23/2024] [Indexed: 05/06/2024]
Abstract
H3K27-altered diffuse midline glioma (DMG H3K27-altered) is a relatively newly-designated WHO entity which primarily affects the midline structures of the central nervous system (CNS), including the brainstem (predominantly pontine region), thalamus, midbrain, or spinal cord, and primarily affects children and young adults. Despite the proximity of these tumors to eloquent areas in the CNS, novel stereotactic approaches have facilitated the ability to obtain tissue diagnoses without significant morbidity, providing molecular diagnostic information in more than half of patients. Conventionally fractionated radiation therapy to a total dose of 54-60 Gy in 27-30 fractions and 24 Gy in 12 fractions play a crucial role in the definitive treatment of these tumors in the primary and salvage settings, respectively. Hypofractionated regimens may allow for accelerated treatment courses in selected patients without jeopardizing disease control or survival. The decision to add concurrent or adjuvant systemic therapy mainly relies on the physicians' experience without solid evidence in the literature in favor of any particular regimen. Recently, novel agents, such as ONC201 have demonstrated promising oncologic outcomes in progressive/recurrent tumors and are currently under investigation in ongoing randomized trials. Given the scarcity of data and well-established guidelines due to the rare nature of the disease, we provide a contemporary overview on the molecular underpinnings of this disease entity, describe the role of radiotherapy and systemic therapy, and present practice management principles based on the published literature.
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Affiliation(s)
- Eyub Yasar Akdemir
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, Florida
| | - Yazmin Odia
- Herbert Wertheim College of Medicine, Florida International University, Miami, Florida; Department of Neuro-Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, Florida
| | - Matthew D Hall
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, Florida; Herbert Wertheim College of Medicine, Florida International University, Miami, Florida
| | - Minesh P Mehta
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, Florida; Herbert Wertheim College of Medicine, Florida International University, Miami, Florida
| | - Rupesh Kotecha
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, Florida; Herbert Wertheim College of Medicine, Florida International University, Miami, Florida.
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Beuriat PA, Flaus A, Portefaix A, Szathmari A, Janier M, Hermier M, Lorthois-Ninou S, Scheiber C, Isal S, Costes N, Merida I, Lancelot S, Vasiljevic A, Leblond P, Faure Conter C, Saunier C, Kassai B, Vinchon M, Di Rocco F, Mottolese C. Preoperative 11 C-Methionine PET-MRI in Pediatric Infratentorial Tumors. Clin Nucl Med 2024; 49:381-386. [PMID: 38498623 DOI: 10.1097/rlu.0000000000005174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/20/2024]
Abstract
PURPOSE MRI is the main imaging modality for pediatric brain tumors, but amino acid PET can provide additional information. Simultaneous PET-MRI acquisition allows to fully assess the tumor and lower the radiation exposure. Although symptomatic posterior fossa tumors are typically resected, the patient management is evolving and will benefit from an improved preoperative tumor characterization. We aimed to explore, in children with newly diagnosed posterior fossa tumor, the complementarity of the information provided by amino acid PET and MRI parameters and the correlation to histopathological results. PATIENTS AND METHODS Children with a newly diagnosed posterior fossa tumor prospectively underwent a preoperative 11 C-methionine (MET) PET-MRI. Images were assessed visually and semiquantitatively. Using correlation, minimum apparent diffusion coefficient (ADC min ) and contrast enhancement were compared with MET SUV max . The diameter of the enhancing lesions was compared with metabolic tumoral volume. Lesions were classified according to the 2021 World Health Organization (WHO) classification. RESULTS Ten children were included 4 pilocytic astrocytomas, 2 medulloblastomas, 1 ganglioglioma, 1 central nervous system embryonal tumor, and 1 schwannoma. All lesions showed visually increased MET uptake. A negative moderate correlation was found between ADC min and SUV max values ( r = -0.39). Mean SUV max was 3.8 (range, 3.3-4.2) in WHO grade 4 versus 2.5 (range, 1.7-3.0) in WHO grade 1 lesions. A positive moderate correlation was found between metabolic tumoral volume and diameter values ( r = 0.34). There was no correlation between SUV max and contrast enhancement intensity ( r = -0.15). CONCLUSIONS Preoperative 11 C-MET PET and MRI could provide complementary information to characterize pediatric infratentorial tumors.
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Affiliation(s)
| | | | | | - Alexandru Szathmari
- From the Department of Pediatric Neurosurgery, Hôpital Femme Mère Enfant, Hospices Civils de Lyon
| | | | - Marc Hermier
- Department of Neuroradiology, Hôpital Neurologique et Neurochirurgical P. Wertheimer, Hospices Civils de Lyon
| | - Sylvie Lorthois-Ninou
- Department of Pediatric Radiology, Hôpital Femme Mère Enfant, Hospices Civils de Lyon
| | | | - Sibel Isal
- Department of Nuclear Medicine, Hospices Civils de Lyon
| | | | | | | | | | - Pierre Leblond
- Institut d'Hématologie et d'Oncologie Pédiatrique (IHOPe), Centre Léon Bérard, Lyon, France
| | - Cécile Faure Conter
- Institut d'Hématologie et d'Oncologie Pédiatrique (IHOPe), Centre Léon Bérard, Lyon, France
| | - Clarisse Saunier
- EPICIME-CIC 1407 de Lyon, Inserm, Département d'Épidémiologie Clinique, Hospices Civils de Lyon
| | | | - Matthieu Vinchon
- From the Department of Pediatric Neurosurgery, Hôpital Femme Mère Enfant, Hospices Civils de Lyon
| | | | - Carmine Mottolese
- From the Department of Pediatric Neurosurgery, Hôpital Femme Mère Enfant, Hospices Civils de Lyon
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Li J, Wang Y, Weng J, Qu L, Wu M, Guo M, Sun J, Hu G, Gong X, Liu X, Duan Y, Zhuo Z, Jia W, Liu Y. Automated Determination of the H3 K27-Altered Status in Spinal Cord Diffuse Midline Glioma by Radiomics Based on T2-Weighted MR Images. AJNR Am J Neuroradiol 2023; 44:1464-1470. [PMID: 38081676 PMCID: PMC10714849 DOI: 10.3174/ajnr.a8056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Accepted: 10/08/2023] [Indexed: 12/18/2023]
Abstract
BACKGROUND AND PURPOSE Conventional MR imaging is not sufficient to discern the H3 K27-altered status of spinal cord diffuse midline glioma. This study aimed to develop a radiomics-based model based on preoperative T2WI to determine the H3 K27-altered status of spinal cord diffuse midline glioma. MATERIALS AND METHODS Ninety-seven patients with confirmed spinal cord diffuse midline gliomas were retrospectively recruited and randomly assigned to the training (n = 67) and test (n = 30) sets. One hundred seven radiomics features were initially extracted from automatically-segmented tumors on T2WI, then 11 features selected by the Pearson correlation coefficient and the Kruskal-Wallis test were used to train and test a logistic regression model for predicting the H3 K27-altered status. Sensitivity analysis was performed using additional random splits of the training and test sets, as well as applying other classifiers for comparison. The performance of the model was evaluated through its accuracy, sensitivity, specificity, and area under the curve. Finally, a prospective set including 28 patients with spinal cord diffuse midline gliomas was used to validate the logistic regression model independently. RESULTS The logistic regression model accurately predicted the H3 K27-altered status with accuracies of 0.833 and 0.786, sensitivities of 0.813 and 0.750, specificities of 0.857 and 0.833, and areas under the curve of 0.839 and 0.818 in the test and prospective sets, respectively. Sensitivity analysis confirmed the robustness of the model, with predictive accuracies of 0.767-0.833. CONCLUSIONS Radiomics signatures based on preoperative T2WI could accurately predict the H3 K27-altered status of spinal cord diffuse midline glioma, providing potential benefits for clinical management.
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Affiliation(s)
- Junjie Li
- From the Department of Radiology (J.L., L.Q., M.W., M.G., J.S., Y.D., Z.Z., Y.L.), Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - YongZhi Wang
- Department of Neurosurgery (Y.W., W.J.), Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Jinyuan Weng
- Department of Medical Imaging Products (J.W., X.G.), Neusoft, Group Ltd., Shenyang, People's Republic of China
| | - Liying Qu
- From the Department of Radiology (J.L., L.Q., M.W., M.G., J.S., Y.D., Z.Z., Y.L.), Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Minghao Wu
- From the Department of Radiology (J.L., L.Q., M.W., M.G., J.S., Y.D., Z.Z., Y.L.), Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Min Guo
- From the Department of Radiology (J.L., L.Q., M.W., M.G., J.S., Y.D., Z.Z., Y.L.), Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Jun Sun
- From the Department of Radiology (J.L., L.Q., M.W., M.G., J.S., Y.D., Z.Z., Y.L.), Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Geli Hu
- Clinical and Technical Support (G.H.), Philips Healthcare, Beijing, People's Republic of China
| | - Xiaodong Gong
- Department of Medical Imaging Products (J.W., X.G.), Neusoft, Group Ltd., Shenyang, People's Republic of China
| | - Xing Liu
- Department of Pathology (X.L.), Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Yunyun Duan
- From the Department of Radiology (J.L., L.Q., M.W., M.G., J.S., Y.D., Z.Z., Y.L.), Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Zhizheng Zhuo
- From the Department of Radiology (J.L., L.Q., M.W., M.G., J.S., Y.D., Z.Z., Y.L.), Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Wenqing Jia
- Department of Neurosurgery (Y.W., W.J.), Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Yaou Liu
- From the Department of Radiology (J.L., L.Q., M.W., M.G., J.S., Y.D., Z.Z., Y.L.), Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
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Al Sharie S, Abu Laban D, Al-Hussaini M. Decoding Diffuse Midline Gliomas: A Comprehensive Review of Pathogenesis, Diagnosis and Treatment. Cancers (Basel) 2023; 15:4869. [PMID: 37835563 PMCID: PMC10571999 DOI: 10.3390/cancers15194869] [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: 06/26/2023] [Revised: 09/27/2023] [Accepted: 10/03/2023] [Indexed: 10/15/2023] Open
Abstract
Diffuse midline gliomas (DMGs) are a group of aggressive CNS tumors, primarily affecting children and young adults, which have historically been associated with dismal outcomes. As the name implies, they arise in midline structures in the CNS, primarily in the thalamus, brainstem, and spinal cord. In more recent years, significant advances have been made in our understanding of DMGs, including molecular features, with the identification of potential therapeutic targets. We aim to provide an overview of the most recent updates in the field of DMGs, including classification, molecular subtypes, diagnostic techniques, and emerging therapeutic strategies including a review of the ongoing clinical trials, thus providing the treating multidisciplinary team with a comprehensive understanding of the current landscape and potential therapeutic strategies for this devastating group of tumors.
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Affiliation(s)
- Sarah Al Sharie
- Faculty of Medicine, Yarmouk University, Irbid 21163, Jordan;
| | - Dima Abu Laban
- Department of Radiology, King Hussein Cancer Center, Amman 11941, Jordan;
| | - Maysa Al-Hussaini
- Department of Pathology and Laboratory Medicine, King Hussein Cancer Center, Amman 11941, Jordan
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7
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Li J, Zhang P, Qu L, Sun T, Duan Y, Wu M, Weng J, Li Z, Gong X, Liu X, Wang Y, Jia W, Su X, Yue Q, Li J, Zhang Z, Barkhof F, Huang RY, Chang K, Sair H, Ye C, Zhang L, Zhuo Z, Liu Y. Deep Learning for Noninvasive Assessment of H3 K27M Mutation Status in Diffuse Midline Gliomas Using MR Imaging. J Magn Reson Imaging 2023; 58:850-861. [PMID: 36692205 DOI: 10.1002/jmri.28606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 01/05/2023] [Accepted: 01/07/2023] [Indexed: 01/25/2023] Open
Abstract
BACKGROUND Determination of H3 K27M mutation in diffuse midline glioma (DMG) is key for prognostic assessment and stratifying patient subgroups for clinical trials. MRI can noninvasively depict morphological and metabolic characteristics of H3 K27M mutant DMG. PURPOSE This study aimed to develop a deep learning (DL) approach to noninvasively predict H3 K27M mutation in DMG using T2-weighted images. STUDY TYPE Retrospective and prospective. POPULATION For diffuse midline brain gliomas, 341 patients from Center-1 (27 ± 19 years, 184 males), 42 patients from Center-2 (33 ± 19 years, 27 males) and 35 patients (37 ± 18 years, 24 males). For diffuse spinal cord gliomas, 133 patients from Center-1 (30 ± 15 years, 80 males). FIELD STRENGTH/SEQUENCE 5T and 3T, T2-weighted turbo spin echo imaging. ASSESSMENT Conventional radiological features were independently reviewed by two neuroradiologists. H3 K27M status was determined by histopathological examination. The Dice coefficient was used to evaluate segmentation performance. Classification performance was evaluated using accuracy, sensitivity, specificity, and area under the curve. STATISTICAL TESTS Pearson's Chi-squared test, Fisher's exact test, two-sample Student's t-test and Mann-Whitney U test. A two-sided P value <0.05 was considered statistically significant. RESULTS In the testing cohort, Dice coefficients of tumor segmentation using DL were 0.87 for diffuse midline brain and 0.81 for spinal cord gliomas. In the internal prospective testing dataset, the predictive accuracies, sensitivities, and specificities of H3 K27M mutation status were 92.1%, 98.2%, 82.9% in diffuse midline brain gliomas and 85.4%, 88.9%, 82.6% in spinal cord gliomas. Furthermore, this study showed that the performance generalizes to external institutions, with predictive accuracies of 85.7%-90.5%, sensitivities of 90.9%-96.0%, and specificities of 82.4%-83.3%. DATA CONCLUSION In this study, an automatic DL framework was developed and validated for accurately predicting H3 K27M mutation using T2-weighted images, which could contribute to the noninvasive determination of H3 K27M status for clinical decision-making. EVIDENCE LEVEL 2 Technical Efficacy: Stage 2.
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Affiliation(s)
- Junjie Li
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Peng Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Liying Qu
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Ting Sun
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Yunyun Duan
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Minghao Wu
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Jinyuan Weng
- Department of Medical Imaging Product, Neusoft, Group Ltd., Shenyang, People's Republic of China
| | - Zhaohui Li
- BioMind Inc., Beijing, People's Republic of China
| | - Xiaodong Gong
- Department of Medical Imaging Product, Neusoft, Group Ltd., Shenyang, People's Republic of China
| | - Xing Liu
- Department of Pathology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Yongzhi Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Wenqing Jia
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Xiaorui Su
- Department of Radiology, West China Hospital of Sichuan University, Chengdu, People's Republic of China
| | - Qiang Yue
- Department of Radiology, West China Hospital of Sichuan University, Chengdu, People's Republic of China
| | - Jianrui Li
- Department of Diagnostic Radiology, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, People's Republic of China
| | - Zhiqiang Zhang
- Department of Diagnostic Radiology, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, People's Republic of China
| | - Frederik Barkhof
- UCL Institutes of Neurology and Healthcare Engineering, London, UK
- Department of Radiology & Nuclear Medicine, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Raymond Y Huang
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Ken Chang
- Department of Radiology, Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Haris Sair
- Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Chuyang Ye
- School of Information and Electronics, Beijing Institute of Technology, Beijing, People's Republic of China
| | - Liwei Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Zhizheng Zhuo
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Yaou Liu
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China
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Rameh V, Vajapeyam S, Ziaei A, Kao P, London WB, Baker SJ, Chiang J, Lucas J, Tinkle CL, Wright KD, Poussaint TY. Correlation between Multiparametric MR Imaging and Molecular Genetics in Pontine Pediatric High-Grade Glioma. AJNR Am J Neuroradiol 2023; 44:833-840. [PMID: 37321859 PMCID: PMC10337620 DOI: 10.3174/ajnr.a7910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 05/22/2023] [Indexed: 06/17/2023]
Abstract
BACKGROUND AND PURPOSE Molecular profiling is a crucial feature in the "integrated diagnosis" of CNS tumors. We aimed to determine whether radiomics could distinguish molecular types of pontine pediatric high-grade gliomas that have similar/overlapping phenotypes on conventional anatomic MR images. MATERIALS AND METHODS Baseline MR images from children with pontine pediatric high-grade gliomas were analyzed. Retrospective imaging studies included standard precontrast and postcontrast sequences and DTI. Imaging analyses included median, mean, mode, skewness, and kurtosis of the ADC histogram of the tumor volume based on T2 FLAIR and enhancement at baseline. Histone H3 mutations were identified through immunohistochemistry and/or Sanger or next-generation DNA sequencing. The log-rank test identified imaging factors prognostic of survival from the time of diagnosis. Wilcoxon rank-sum and Fisher exact tests compared imaging predictors among groups. RESULTS Eighty-three patients had pretreatment MR imaging and evaluable tissue sampling. The median age was 6 years (range, 0.7-17 years); 50 tumors had a K27M mutation in H3-3A, and 11, in H3C2/3. Seven tumors had histone H3 K27 alteration, but the specific gene was unknown. Fifteen were H3 wild-type. Overall survival was significantly higher in H3C2/3- compared with H3-3A-mutant tumors (P = .003) and in wild-type tumors compared with any histone mutation (P = .001). Lower overall survival was observed in patients with enhancing tumors (P = .02) compared with those without enhancement. H3C2/3-mutant tumors showed higher mean, median, and mode ADC_total values (P < .001) and ADC_enhancement (P < .004), with lower ADC_total skewness and kurtosis (P < .003) relative to H3-3A-mutant tumors. CONCLUSIONS ADC histogram parameters are correlated with histone H3 mutation status in pontine pediatric high-grade glioma.
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Affiliation(s)
- V Rameh
- From the Department of Radiology (V.R., S.V., A.Z., T.Y.P.), Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts
| | - S Vajapeyam
- From the Department of Radiology (V.R., S.V., A.Z., T.Y.P.), Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts
| | - A Ziaei
- From the Department of Radiology (V.R., S.V., A.Z., T.Y.P.), Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts
| | - P Kao
- Department of Pediatric Oncology (P.K., W.B.L., K.D.W.), Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - W B London
- Department of Pediatric Oncology (P.K., W.B.L., K.D.W.), Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - S J Baker
- Departments of Developmental Neurobiology (S.J.B.)
| | | | - J Lucas
- Radiation Oncology (J.L., C.L.T.), St. Jude Children's Research Hospital, Memphis, Tennessee
| | - C L Tinkle
- Radiation Oncology (J.L., C.L.T.), St. Jude Children's Research Hospital, Memphis, Tennessee
| | - K D Wright
- Department of Pediatric Oncology (P.K., W.B.L., K.D.W.), Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts
| | - T Y Poussaint
- From the Department of Radiology (V.R., S.V., A.Z., T.Y.P.), Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts
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9
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Zhang H, Liu K, Ba R, Zhang Z, Zhang Y, Chen Y, Gu W, Shen Z, Shu Q, Fu J, Wu D. Histological and molecular classifications of pediatric glioma with time-dependent diffusion MRI-based microstructural mapping. Neuro Oncol 2023; 25:1146-1156. [PMID: 36617263 PMCID: PMC10237431 DOI: 10.1093/neuonc/noad003] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Gliomas are the most common type of central nervous system tumors in children, and the combination of histological and molecular classification is essential for prognosis and treatment. Here, we proposed a newly developed microstructural mapping technique based on diffusion-time-dependent diffusion MRI td-dMRI theory to quantify tumor cell properties and tested these microstructural markers in identifying histological grade and molecular alteration of H3K27. METHODS This prospective study included 69 pediatric glioma patients aged 6.14 ± 3.25 years old, who underwent td-dMRI with pulsed and oscillating gradient diffusion sequences on a 3T scanner. dMRI data acquired at varying tds were fitted into a 2-compartment microstructural model to obtain intracellular fraction (fin), cell diameter, cellularity, etc. Apparent diffusivity coefficient (ADC) and T1 and T2 relaxation times were also obtained. H&E stained histology was used to validate the estimated microstructural properties. RESULTS For histological classification of low- and high-grade pediatric gliomas, the cellularity index achieved the highest area under the receiver-operating-curve (AUC) of 0.911 among all markers, while ADC, T1, and T2 showed AUCs of 0.906, 0.885, and 0.886. For molecular classification of H3K27-altered glioma in 39 midline glioma patients, cell diameter showed the highest discriminant power with an AUC of 0.918, and the combination of cell diameter and extracellular diffusivity further improved AUC to 0.929. The td-dMRI estimated fin correlated well with the histological ground truth with r = 0.7. CONCLUSIONS The td-dMRI-based microstructural properties outperformed routine MRI measurements in diagnosing pediatric gliomas, and the different microstructural features showed complementary strength in histological and molecular classifications.
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Affiliation(s)
- Hongxi Zhang
- Department of Radiology, Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Kuiyuan Liu
- Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China
| | - Ruicheng Ba
- Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China
| | - Zelin Zhang
- Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China
| | - Yi Zhang
- Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China
| | - Ye Chen
- Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Weizhong Gu
- Department of Pathology, Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Zhipeng Shen
- Department of Neurosurgery, Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Qiang Shu
- Department of Cardiology, Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Junfen Fu
- Department of Endocrinology, Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China
| | - Dan Wu
- Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China
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10
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Lovibond S, Gewirtz AN, Pasquini L, Krebs S, Graham MS. The promise of metabolic imaging in diffuse midline glioma. Neoplasia 2023; 39:100896. [PMID: 36944297 PMCID: PMC10036941 DOI: 10.1016/j.neo.2023.100896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 02/10/2023] [Accepted: 03/13/2023] [Indexed: 03/23/2023]
Abstract
Recent insights into histopathological and molecular subgroups of glioma have revolutionized the field of neuro-oncology by refining diagnostic categories. An emblematic example in pediatric neuro-oncology is the newly defined diffuse midline glioma (DMG), H3 K27-altered. DMG represents a rare tumor with a dismal prognosis. The diagnosis of DMG is largely based on clinical presentation and characteristic features on conventional magnetic resonance imaging (MRI), with biopsy limited by its delicate neuroanatomic location. Standard MRI remains limited in its ability to characterize tumor biology. Advanced MRI and positron emission tomography (PET) imaging offer additional value as they enable non-invasive evaluation of molecular and metabolic features of brain tumors. These techniques have been widely used for tumor detection, metabolic characterization and treatment response monitoring of brain tumors. However, their role in the realm of pediatric DMG is nascent. By summarizing DMG metabolic pathways in conjunction with their imaging surrogates, we aim to elucidate the untapped potential of such imaging techniques in this devastating disease.
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Affiliation(s)
- Samantha Lovibond
- Molecular Imaging and Therapy Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Alexandra N Gewirtz
- Department of Neurology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Luca Pasquini
- Molecular Imaging and Therapy Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Simone Krebs
- Molecular Imaging and Therapy Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Radiochemistry and Imaging Sciences Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Radiology, Weill Cornell Medical College, New York, NY 10065, USA
| | - Maya S Graham
- Department of Neurology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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11
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Peira E, Sensi F, Rei L, Gianeri R, Tortora D, Fiz F, Piccardo A, Bottoni G, Morana G, Chincarini A. Towards an Automated Approach to the Semi-Quantification of [ 18F]F-DOPA PET in Pediatric-Type Diffuse Gliomas. J Clin Med 2023; 12:jcm12082765. [PMID: 37109101 PMCID: PMC10142802 DOI: 10.3390/jcm12082765] [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: 12/31/2022] [Revised: 03/28/2023] [Accepted: 04/04/2023] [Indexed: 04/29/2023] Open
Abstract
BACKGROUND This study aims to evaluate the use of a computer-aided, semi-quantification approach to [18F]F-DOPA positron emission tomography (PET) in pediatric-type diffuse gliomas (PDGs) to calculate the tumor-to-background ratio. METHODS A total of 18 pediatric patients with PDGs underwent magnetic resonance imaging and [18F]F-DOPA PET, which were analyzed using both manual and automated procedures. The former provided a tumor-to-normal-tissue ratio (TN) and tumor-to-striatal-tissue ratio (TS), while the latter provided analogous scores (tn, ts). We tested the correlation, consistency, and ability to stratify grading and survival between these methods. RESULTS High Pearson correlation coefficients resulted between the ratios calculated with the two approaches: ρ = 0.93 (p < 10-4) and ρ = 0.814 (p < 10-4). The analysis of the residuals suggested that tn and ts were more consistent than TN and TS. Similarly to TN and TS, the automatically computed scores showed significant differences between low- and high-grade gliomas (p ≤ 10-4, t-test) and the overall survival was significantly shorter in patients with higher values when compared to those with lower ones (p < 10-3, log-rank test). CONCLUSIONS This study suggested that the proposed computer-aided approach could yield similar results to the manual procedure in terms of diagnostic and prognostic information.
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Affiliation(s)
- Enrico Peira
- Istituto Nazionale di Fisica Nucleare (INFN), 16146 Genoa, Italy
| | - Francesco Sensi
- Istituto Nazionale di Fisica Nucleare (INFN), 16146 Genoa, Italy
| | - Luca Rei
- Istituto Nazionale di Fisica Nucleare (INFN), 16146 Genoa, Italy
| | - Ruben Gianeri
- Istituto Nazionale di Fisica Nucleare (INFN), 16146 Genoa, Italy
| | - Domenico Tortora
- Neuroradiology Unit, IRCCS Istituto Giannina Gaslini, 16147 Genoa, Italy
| | - Francesco Fiz
- S.C. di Medicina Nucleare, E.O. Ospedali Galliera, 16128 Genoa, Italy
| | - Arnoldo Piccardo
- S.C. di Medicina Nucleare, E.O. Ospedali Galliera, 16128 Genoa, Italy
| | - Gianluca Bottoni
- S.C. di Medicina Nucleare, E.O. Ospedali Galliera, 16128 Genoa, Italy
| | - Giovanni Morana
- Department of Neurosciences, University of Turin, 10124 Turin, Italy
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12
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Fiz F, Bottoni G, Ugolini M, Righi S, Cirone A, Garganese MC, Verrico A, Rossi A, Milanaccio C, Ramaglia A, Mastronuzzi A, Abate ME, Cacchione A, Gandolfo C, Colafati GS, Garrè ML, Morana G, Piccardo A. Diagnostic and Dosimetry Features of [ 64Cu]CuCl 2 in High-Grade Paediatric Infiltrative Gliomas. Mol Imaging Biol 2023; 25:391-400. [PMID: 36042116 DOI: 10.1007/s11307-022-01769-3] [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: 05/18/2022] [Revised: 08/10/2022] [Accepted: 08/18/2022] [Indexed: 03/12/2023]
Abstract
PURPOSE OF THE REPORT Paediatric diffuse high-grade gliomas (PDHGG) are rare central nervous system neoplasms lacking effective therapeutic options. Molecular imaging of tumour metabolism might identify novel diagnostic/therapeutic targets. In this study, we evaluated the distribution and the dosimetry aspects of [64Cu]CuCl2 in PDHGG subjects, as copper is a key element in cellular metabolism whose turnover may be increased in tumour cells. MATERIAL AND METHODS Paediatric patients with PDHGG were prospectively recruited. [64Cu]CuCl2 PET/CT was performed 1 h after tracer injection; if the scan was positive, it was repeated 24 and 72 h later. Lesion standardised uptake value (SUV) and target-to-background ratio (TBR) were calculated. Tumour and organ dosimetry were computed using the MIRD algorithm. Each patient underwent an MRI scan, including FLAIR, T2-weighted and post-contrast T1-weighted imaging. RESULTS Ten patients were enrolled (median age 9, range 6-16 years, 6 females). Diagnoses were diffuse midline gliomas (n = 8, 5 of which with H3K27 alterations) and diffuse hemispheric gliomas (n = 2). Six patients had visible tracer uptake (SUV: 1.0 ± 0.6 TBR: 5 ± 3.1). [64Cu]CuCl2 accumulation was always concordant with MRI contrast enhancement and was higher in the presence of radiological signs of necrosis. SUV and TBR progressively increased on the 24- and 72-h acquisitions (p < 0.05 and p < 0.01, respectively). The liver and the abdominal organs received the highest non-target dose. CONCLUSIONS [64Cu]CuCl2 is a well-tolerated radiotracer with reasonably favourable dosimetric properties, showing selective uptake in tumour areas with visible contrast enhancement and necrosis, thus suggesting that blood-brain barrier damage is a pre-requisite for its distribution to the intracranial structures. Moreover, tracer uptake showed an accumulating trend over time. These characteristics could deserve further analysis, to determine whether this radiopharmaceutical might have a possible therapeutic role as well.
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Affiliation(s)
- Francesco Fiz
- Department of Nuclear Medicine, E.O. Ospedali Galliera, Galliera Hospital, Mura delle Cappuccine 14, 16128, Genoa, Italy.
| | - Gianluca Bottoni
- Department of Nuclear Medicine, E.O. Ospedali Galliera, Galliera Hospital, Mura delle Cappuccine 14, 16128, Genoa, Italy
| | - Martina Ugolini
- Department of Nuclear Medicine, E.O. Ospedali Galliera, Galliera Hospital, Mura delle Cappuccine 14, 16128, Genoa, Italy
| | - Sergio Righi
- Medical Physics Department, E.O. Galliera Hospital, Genoa, Italy
| | - Alessio Cirone
- Medical Physics Department, E.O. Galliera Hospital, Genoa, Italy
| | - Maria Carmen Garganese
- Nuclear Medicine Unit/Imaging Department, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | - Antonio Verrico
- Neuro-Oncology Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy
| | - Andrea Rossi
- Neuroradiology Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy.,Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy
| | | | - Antonia Ramaglia
- Neuroradiology Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy
| | - Angela Mastronuzzi
- Neuro-Oncology Unit, Department of Paediatric Haematology/Oncology, Cell Therapy, Gene Therapies and Hemopoietic Transplant, Bambino Gesù Children's Hospital, IRCCS, 00165, Rome, Italy
| | | | - Antonella Cacchione
- Neuro-Oncology Unit, Department of Paediatric Haematology/Oncology, Cell Therapy, Gene Therapies and Hemopoietic Transplant, Bambino Gesù Children's Hospital, IRCCS, 00165, Rome, Italy
| | - Carlo Gandolfo
- Imaging Department, Neuroradiology Unit, IRCCS Bambino Gesù Children's Hospital, Rome, Italy
| | | | | | - Giovanni Morana
- Department of Neurosciences, University of Turin, Turin, Italy
| | - Arnoldo Piccardo
- Department of Nuclear Medicine, E.O. Ospedali Galliera, Galliera Hospital, Mura delle Cappuccine 14, 16128, Genoa, Italy
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13
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11C-methionine PET imaging characteristics in children with diffuse intrinsic pontine gliomas and relationship to survival and H3 K27M mutation status. Eur J Nucl Med Mol Imaging 2023; 50:1709-1719. [PMID: 36697961 DOI: 10.1007/s00259-022-06105-z] [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: 09/19/2022] [Accepted: 12/30/2022] [Indexed: 01/27/2023]
Abstract
PURPOSE This study aimed to describe 11C-methionine (11C-MET) PET imaging characteristics in patients with paediatric diffuse intrinsic pontine glioma (DIPG) and correlate them with survival and H3 K27M mutation status. METHODS We retrospectively analysed 98 children newly diagnosed with DIPG who underwent 11C-MET PET. PET imaging characteristics evaluated included uptake intensity, uniformity, metabolic tumour volume (MTV), and total lesion methionine uptake (TLMU). The maximum, mean, and peak of the tumour-to-background ratio (TBR), calculated as the corresponding standardised uptake values (SUV) divided by the mean reference value, were also recorded. The associations between the PET imaging characteristics and clinical outcomes in terms of progression-free survival (PFS) and overall survival (OS) and H3 K27M mutation status were assessed, respectively. RESULTS In univariate analysis, imaging characteristics significantly associated with shorter PFS and OS included a higher uniformity grade, higher TBRs, larger MTV, and higher TLMU. In multivariate analysis, larger MTV at diagnosis, shorter symptom duration, and no treatment were significantly correlated with shorter PFS and OS. The PET imaging features were not correlated with H3 K27M mutation status. CONCLUSION Although several imaging features were significantly associated with PFS and OS, only MTV, indicating the size of the active tumour, was identified as a strong independent prognostic factor.
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14
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Castello A, Castellani M, Florimonte L, Ciccariello G, Mansi L, Lopci E. PET radiotracers in glioma: a review of clinical indications and evidence. Clin Transl Imaging 2022. [DOI: 10.1007/s40336-022-00523-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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15
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Alves CAPF, Sherbini O, D'Arco F, Steel D, Kurian MA, Radio FC, Ferrero GB, Carli D, Tartaglia M, Balci TB, Powell-Hamilton NN, Schrier Vergano SA, Reutter H, Hoefele J, Günthner R, Roeder ER, Littlejohn RO, Lessel D, Lüttgen S, Kentros C, Anyane-Yeboa K, Catarino CB, Mercimek-Andrews S, Denecke J, Lyons MJ, Klopstock T, Bhoj EJ, Bryant L, Vanderver A. Brain Abnormalities in Patients with Germline Variants in H3F3: Novel Imaging Findings and Neurologic Symptoms Beyond Somatic Variants and Brain Tumors. AJNR Am J Neuroradiol 2022; 43:1048-1053. [PMID: 35772801 DOI: 10.3174/ajnr.a7555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Accepted: 04/18/2022] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Pathogenic somatic variants affecting the genes Histone 3 Family 3A and 3B (H3F3) are extensively linked to the process of oncogenesis, in particular related to central nervous system tumors in children. Recently, H3F3 germline missense variants were described as the cause of a novel pediatric neurodevelopmental disorder. We aimed to investigate patterns of brain MR imaging of individuals carrying H3F3 germline variants. MATERIALS AND METHODS In this retrospective study, we included individuals with proved H3F3 causative genetic variants and available brain MR imaging scans. Clinical and demographic data were retrieved from available medical records. Molecular genetic testing results were classified using the American College of Medical Genetics criteria for variant curation. Brain MR imaging abnormalities were analyzed according to their location, signal intensity, and associated clinical symptoms. Numeric variables were described according to their distribution, with median and interquartile range. RESULTS Eighteen individuals (10 males, 56%) with H3F3 germline variants were included. Thirteen of 18 individuals (72%) presented with a small posterior fossa. Six individuals (33%) presented with reduced size and an internal rotational appearance of the heads of the caudate nuclei along with an enlarged and squared appearance of the frontal horns of the lateral ventricles. Five individuals (28%) presented with dysgenesis of the splenium of the corpus callosum. Cortical developmental abnormalities were noted in 8 individuals (44%), with dysgyria and hypoplastic temporal poles being the most frequent presentation. CONCLUSIONS Imaging phenotypes in germline H3F3-affected individuals are related to brain features, including a small posterior fossa as well as dysgenesis of the corpus callosum, cortical developmental abnormalities, and deformity of lateral ventricles.
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Affiliation(s)
| | - O Sherbini
- Department of Neurology (O.S., A.V.), Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | | | - D Steel
- Neurology (D.S., M.A.K.), Great Ormond Street Hospital for Children, London, UK.,Molecular Neurosciences (D.S., M.A.K.), Zayed Centre for Research into Rare Diseases in Children, UCL GOS-Institute of Child Health, London, UK
| | - M A Kurian
- Neurology (D.S., M.A.K.), Great Ormond Street Hospital for Children, London, UK.,Molecular Neurosciences (D.S., M.A.K.), Zayed Centre for Research into Rare Diseases in Children, UCL GOS-Institute of Child Health, London, UK
| | - F C Radio
- Genetics and Rare Diseases Research Division (F.C.R., M.T.), Ospedale Pediatrico Bambino Gesù, IRCCS, Rome, Italy
| | - G B Ferrero
- Department of Public Health and Pediatrics (G.B.F., D.C.), University of Torino, Turin, Italy
| | - D Carli
- Department of Public Health and Pediatrics (G.B.F., D.C.), University of Torino, Turin, Italy
| | - M Tartaglia
- Genetics and Rare Diseases Research Division (F.C.R., M.T.), Ospedale Pediatrico Bambino Gesù, IRCCS, Rome, Italy
| | - T B Balci
- Medical Genetics Programof Southwestern Ontario (T.B.B.), London Health Sciences Centre, London, Ontario, Canada.,Department of Paediatrics (T.B.B.), Western University, London, Ontario, Canada
| | - N N Powell-Hamilton
- Division of Medical Genetics (N.N.P.-H.), Nemours Children's Hospital, Wilmington, Delaware
| | - S A Schrier Vergano
- Division of Medical Genetics and Metabolism (S.A.S.V.), Children's Hospital of The King's Daughters, Norfolk, Virginia.,Department of Pediatrics (S.A.S.V.), Eastern Virginia Medical School, Norfolk, Virginia
| | - H Reutter
- Division of Neonatology and Pediatric Intensive Care (H.R.), Department of Pediatrics and Adolescent Medicine, Friedrich-Alexander University Nürnberg-Erlangen, Erlangen, Germany
| | - J Hoefele
- Institute of Human Genetics (J.H., R.G.)
| | - R Günthner
- Institute of Human Genetics (J.H., R.G.).,Department of Nephrology (R.G.), Klinikum rechts der Isar, Technical University of Munich, School of Medicine, Munich, Germany
| | - E R Roeder
- Department of Pediatrics and Molecular and Human Genetics (E.R.R., R.O.L.), Baylor College of Medicine, San Antonio, Texas
| | - R O Littlejohn
- Department of Pediatrics and Molecular and Human Genetics (E.R.R., R.O.L.), Baylor College of Medicine, San Antonio, Texas
| | - D Lessel
- Institute of Human Genetics (D.L., S.L.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - S Lüttgen
- Institute of Human Genetics (D.L., S.L.), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - C Kentros
- Division of Clinical Genetics (C.K., K.A.-Y.), Department of Pediatrics, Columbia University Vagelos College of Physicians and Surgeons and New York-Presbyterian, New York, New York
| | - K Anyane-Yeboa
- Division of Clinical Genetics (C.K., K.A.-Y.), Department of Pediatrics, Columbia University Vagelos College of Physicians and Surgeons and New York-Presbyterian, New York, New York
| | - C B Catarino
- Friedrich-Baur-Institute (C.B.C., T.K.), Department of Neurology, University Hospital, Ludwig-Maximilian University Munich, Munich, Germany
| | - S Mercimek-Andrews
- Department of Medical Genetics (S.M.-A.), Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alberta, Canada.,Department of Medical Genetics (S.M.-A.), The Hospital for Sick Children, Toronto, Ontario, Canada
| | - J Denecke
- Department of Pediatrics (J.D.), University Medical Center Eppendorf, Hamburg, Germany
| | - M J Lyons
- Greenwood Genetic Center (M.J.L.), Greenwood, South Carolina
| | - T Klopstock
- Friedrich-Baur-Institute (C.B.C., T.K.), Department of Neurology, University Hospital, Ludwig-Maximilian University Munich, Munich, Germany.,German Center for Neurodegenerative Diseases (T.K.), Munich, Germany.,Munich Cluster for Systems Neurology (T.K.), Munich, Germany
| | - E J Bhoj
- Department of Radiology, Division of Human Genetics (E.J.B., L.B.)
| | - L Bryant
- Department of Radiology, Division of Human Genetics (E.J.B., L.B.)
| | - A Vanderver
- Department of Pediatrics, and Division of Neurology (A.V.), Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.,Department of Neurology (O.S., A.V.), Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
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16
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Fiz F, Bini F, Gabriele E, Bottoni G, Garrè ML, Marinozzi F, Milanaccio C, Verrico A, Massollo M, Bosio V, Lattuada M, Rossi A, Ramaglia A, Puntoni M, Morana G, Piccardo A. Role of Dynamic Parameters of 18F-DOPA PET/CT in Pediatric Gliomas. Clin Nucl Med 2022; 47:517-524. [PMID: 35353725 DOI: 10.1097/rlu.0000000000004185] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
PURPOSE OF THE REPORT PET with 18F-DOPA can be used to evaluate grading and aggressiveness of pediatric cerebral gliomas. However, standard uptake parameters may underperform in circumscribed lesions and in diffuse pontine gliomas. In this study, we tested whether dynamic 18F-DOPA PET could overcome these limitations. PATIENTS AND METHODS Patients with available dynamic 18F-DOPA PET were included retrospectively. Static parameters (tumor/striatum ratio [T/S] and tumor/cortex ratio [T/N]) and dynamic ones, calculated on the tumor time activity curve (TAC), including time-to-peak (TTP), slope steepness, the ratio between tumor and striatum TAC steepness (dynamic slope ratio [DSR]), and TAC shape (accumulation vs plateau), were evaluated as predictors of high/low grading (HG and LG) and of progression-free survival and overall survival. RESULTS Fifteen patients were included; T/S, T/N, TTP, TAC slope steepness, and DSR were not significantly different between HG and LG. The accumulation TAC shape was more prevalent in the LG than in the HG group (75% vs 27%). On progression-free survival univariate analysis, TAC accumulation shape predicted longer survival (P < 0.001), whereas T/N and DSR showed borderline significance; on multivariate analyses, only TAC shape was retained (P < 0.01, Harrell C index, 0.93-0.95). On overall survival univariate analysis, T/N (P < 0.05), DSR (P < 0.05), and TAC "accumulating" shape predicted survival (P < 0.001); once more, only this last parameter was retained in the multivariate models (P < 0.05, Harrell C index, 0.86-0.89). CONCLUSIONS Dynamic 18F-DOPA PET analysis outperforms the static parameter evaluation in grading assessment and survival prediction. Evaluation of the curve shape is a simple-to-use parameter with strong predictive power.
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Affiliation(s)
- Francesco Fiz
- From the Department of Nuclear Medicine, E.O. "Ospedali Galliera," Genoa
| | - Fabiano Bini
- Department of Mechanical and Aerospace Engineering, "Sapienza" University of Rome, Rome
| | - Edoardo Gabriele
- Department of Mechanical and Aerospace Engineering, "Sapienza" University of Rome, Rome
| | - Gianluca Bottoni
- From the Department of Nuclear Medicine, E.O. "Ospedali Galliera," Genoa
| | | | - Franco Marinozzi
- Department of Mechanical and Aerospace Engineering, "Sapienza" University of Rome, Rome
| | | | | | - Michela Massollo
- From the Department of Nuclear Medicine, E.O. "Ospedali Galliera," Genoa
| | | | | | - Andrea Rossi
- Pediatric Neuroradiology Unit, IRCCS Istituto Giannina Gaslini, Genova
| | - Antonia Ramaglia
- Pediatric Neuroradiology Unit, IRCCS Istituto Giannina Gaslini, Genova
| | - Matteo Puntoni
- Clinical and Epidemiological Research Unit, University Hospital of Parma, Parma
| | | | - Arnoldo Piccardo
- From the Department of Nuclear Medicine, E.O. "Ospedali Galliera," Genoa
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17
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Piccardo A, Albert NL, Borgwardt L, Fahey FH, Hargrave D, Galldiks N, Jehanno N, Kurch L, Law I, Lim R, Lopci E, Marner L, Morana G, Young Poussaint T, Seghers VJ, Shulkin BL, Warren KE, Traub-Weidinger T, Zucchetta P. Joint EANM/SIOPE/RAPNO practice guidelines/SNMMI procedure standards for imaging of paediatric gliomas using PET with radiolabelled amino acids and [ 18F]FDG: version 1.0. Eur J Nucl Med Mol Imaging 2022; 49:3852-3869. [PMID: 35536420 PMCID: PMC9399211 DOI: 10.1007/s00259-022-05817-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 04/23/2022] [Indexed: 01/18/2023]
Abstract
Positron emission tomography (PET) has been widely used in paediatric oncology. 2-Deoxy-2-[18F]fluoro-D-glucose ([18F]FDG) is the most commonly used radiopharmaceutical for PET imaging. For oncological brain imaging, different amino acid PET radiopharmaceuticals have been introduced in the last years. The purpose of this document is to provide imaging specialists and clinicians guidelines for indication, acquisition, and interpretation of [18F]FDG and radiolabelled amino acid PET in paediatric patients affected by brain gliomas. There is no high level of evidence for all recommendations suggested in this paper. These recommendations represent instead the consensus opinion of experienced leaders in the field. Further studies are needed to reach evidence-based recommendations for the applications of [18F]FDG and radiolabelled amino acid PET in paediatric neuro-oncology. These recommendations are not intended to be a substitute for national and international legal or regulatory provisions and should be considered in the context of good practice in nuclear medicine. The present guidelines/standards were developed collaboratively by the EANM and SNMMI with the European Society for Paediatric Oncology (SIOPE) Brain Tumour Group and the Response Assessment in Paediatric Neuro-Oncology (RAPNO) working group. They summarize also the views of the Neuroimaging and Oncology and Theranostics Committees of the EANM and reflect recommendations for which the EANM and other societies cannot be held responsible.
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Affiliation(s)
- Arnoldo Piccardo
- Department of Nuclear Medicine, E.O. "Ospedali Galliera", Genoa, Italy
| | - Nathalie L Albert
- Department of Nuclear Medicine, University Hospital of LMU Munich, Munich, Germany
| | - Lise Borgwardt
- Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Frederic H Fahey
- Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Darren Hargrave
- Department of Paediatric Oncology, Great Ormond Street Hospital NHS Trust, London, UK
| | - Norbert Galldiks
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Institute of Neuroscience and Medicine (INM-3), Research Center Juelich, Juelich, Germany
| | - Nina Jehanno
- Department of Nuclear Medicine, Institut Curie Paris, Paris, France
| | - Lars Kurch
- Department of Nuclear Medicine, University Hospital Leipzig, Leipzig, Germany.
| | - Ian Law
- Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Ruth Lim
- Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Egesta Lopci
- Nuclear Medicine Unit, IRCCS-Humanitas Research Hospital, Via Manzoni 56, 20089, Rozzano, Milano, Italy
| | - Lisbeth Marner
- Department of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital Bispebjerg, Copenhagen, Denmark
| | - Giovanni Morana
- Department of Neurosciences, University of Turin, Turin, Italy
| | - Tina Young Poussaint
- Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Victor J Seghers
- Singleton Department of Pediatric Radiology, Texas Children's Hospital, Houston, TX, USA
- Department of Radiology, Baylor College of Medicine, Houston, TX, USA
| | - Barry L Shulkin
- Nuclear Medicine Department of Diagnostic Imaging St. Jude Children's Research Hospital, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Katherine E Warren
- Department of Pediatric Oncology, Dana Farber Cancer Institute, Boston, MA, USA
| | - Tatjana Traub-Weidinger
- Division of Nuclear Medicine, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Pietro Zucchetta
- Nuclear Medicine Unit, Department of Medicine - DIMED, University Hospital of Padova, Padua, Italy
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Djekidel M, Alsadi R, Bouhali O, Maaz AUR. Amino Acid PET Imaging with 18F-DOPA in the evaluation of Pediatric Brain Tumors. J Nucl Med Technol 2022; 50:jnmt.121.263050. [PMID: 35440479 DOI: 10.2967/jnmt.121.263050] [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: 08/13/2021] [Accepted: 12/28/2021] [Indexed: 11/16/2022] Open
Abstract
Although MRI is the workhorse of brain tumor initial evaluation and follow-up, there is a growing amount of data recommending the incorporation of amino-acid PET imaging at different stages of the management of these patients. Recent nuclear medicine and neuro-oncology clinical practice recommendations support the use of amino-acid imaging in brain tumor imaging. Considering 18F-DOPA is FDA approved for the evaluation of parkinsonian syndromes, it could be used clinically for other valuable clinical indications such as brain tumor evaluations. This value seems to be well established in adults and has growing evidence for its use in pediatrics as well. We offer to present four pediatric brain tumor cases imaged with 18F-DOPA and review the literature.
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Affiliation(s)
- Mehdi Djekidel
- Department of Diagnostic Imaging, Division of Nuclear Medicine and Molecular Imaging, Sidra Medicine, Qatar
| | - Rahaf Alsadi
- Department of Science, Texas A&M University at Qatar
| | | | - Ata Ur Rehman Maaz
- Department of Pediatrics, Division of Hematology Oncology, Sidra Medicine, Qatar
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19
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Prediction of H3 K27M-mutant in midline gliomas by magnetic resonance imaging: a systematic review and meta-analysis. Neuroradiology 2022; 64:1311-1319. [PMID: 35416485 DOI: 10.1007/s00234-022-02947-4] [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: 01/08/2022] [Accepted: 04/04/2022] [Indexed: 10/18/2022]
Abstract
PURPOSE To summarize the predictive value of MRI for H3 K27M-mutant in midline gliomas using meta-analysis. METHODS Systematic electronic searches of the PubMed, Embase, ISI Web of Science, and Cochrane Library up to Jun 31, 2021, were conducted by two experienced neuroradiologists with the keywords of "MRI," "Glioma," and "H3 K27M." The hierarchical summary receiver-operating characteristic (HSROC) model was used to calculate the pooled sensitivity, specificity, positive likelihood ratio (LR +), negative likelihood ratio (LR -), and diagnostic odds ratio (DOR). Coupled forest plots were used to evaluate the heterogeneity of the included studies. RESULTS Of seven original studies with a total of 593 patients, 240 glioma patients were included, with 45.5-70.6% H3 K27M-mutant gliomas. Using MRI, a pooled sensitivity of 0.78 (95% CI, 0.66-0.87), specificity of 0.85 (95% CI, 0.76-0.91), LR + of 5.07 (95% CI, 3.19-8.08), LR - of 0.26 (95% CI, 0.16-0.42), and DOR of 19.80 (95% CI, 9.28-42.28) were achieved for H3 K27M-mutant prediction. Significant heterogeneity was observed among the studies in terms of sensitivity (Q = 16.83, df = 7, p = 0.02; I2 = 58.40 [95% CI, 25.83-90.97]), LR - (Q = 16.61, df = 7, p = 0.02; I2 = 57.87 [95% CI, 24.81-90.93]), and DOR (Q = 14.05, df = 7, p = 0.05; I2 = 50.18 [95% CI, 10.06-90.31]). CONCLUSIONS This meta-analysis demonstrated a clinical value of MRI to predict H3 K27M-mutant in midline gliomas with a pooled sensitivity of 0.78 and specificity of 0.85.
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20
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Guo W, She D, Xing Z, Lin X, Wang F, Song Y, Cao D. Multiparametric MRI-Based Radiomics Model for Predicting H3 K27M Mutant Status in Diffuse Midline Glioma: A Comparative Study Across Different Sequences and Machine Learning Techniques. Front Oncol 2022; 12:796583. [PMID: 35311083 PMCID: PMC8928064 DOI: 10.3389/fonc.2022.796583] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2021] [Accepted: 02/08/2022] [Indexed: 11/17/2022] Open
Abstract
Objectives The performance of multiparametric MRI-based radiomics models for predicting H3 K27M mutant status in diffuse midline glioma (DMG) has not been thoroughly evaluated. The optimal combination of multiparametric MRI and machine learning techniques remains undetermined. We compared the performance of various radiomics models across different MRI sequences and different machine learning techniques. Methods A total of 102 patients with pathologically confirmed DMG were retrospectively enrolled (27 with H3 K27M-mutant and 75 with H3 K27M wild-type). Radiomics features were extracted from eight sequences, and 18 feature sets were conducted by independent combination. There were three feature matrix normalization algorithms, two dimensionality-reduction methods, four feature selectors, and seven classifiers, consisting of 168 machine learning pipelines. Radiomics models were established across different feature sets and machine learning pipelines. The performance of models was evaluated using receiver operating characteristic curves with area under the curve (AUC) and compared with DeLong’s test. Results The multiparametric MRI-based radiomics models could accurately predict the H3 K27M mutant status in DMG (highest AUC: 0.807–0.969, for different sequences or sequence combinations). However, the results varied significantly between different machine learning techniques. When suitable machine learning techniques were used, the conventional MRI-based radiomics models shared similar performance to advanced MRI-based models (highest AUC: 0.875–0.915 vs. 0.807–0.926; DeLong’s test, p > 0.05). Most models had a better performance when generated with a combination of MRI sequences. The optimal model in the present study used a combination of all sequences (AUC = 0.969). Conclusions The multiparametric MRI-based radiomics models could be useful for predicting H3 K27M mutant status in DMG, but the performance varied across different sequences and machine learning techniques.
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Affiliation(s)
- Wei Guo
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Dejun She
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Zhen Xing
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Xiang Lin
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Feng Wang
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Yang Song
- MR Scientific Marketing, Siemens Healthineers Ltd., Shanghai, China
| | - Dairong Cao
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, China.,Department of Radiology, Fujian Key Laboratory of Precision Medicine for Cancer, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.,Key Laboratory of Radiation Biology of Fujian Higher Education Institutions, The First Affiliated Hospital, Fujian Medical University, Fuzhou, China
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21
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Stumpo V, Guida L, Bellomo J, Van Niftrik CHB, Sebök M, Berhouma M, Bink A, Weller M, Kulcsar Z, Regli L, Fierstra J. Hemodynamic Imaging in Cerebral Diffuse Glioma—Part B: Molecular Correlates, Treatment Effect Monitoring, Prognosis, and Future Directions. Cancers (Basel) 2022; 14:cancers14051342. [PMID: 35267650 PMCID: PMC8909110 DOI: 10.3390/cancers14051342] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 03/01/2022] [Accepted: 03/02/2022] [Indexed: 02/05/2023] Open
Abstract
Gliomas, and glioblastoma in particular, exhibit an extensive intra- and inter-tumoral molecular heterogeneity which represents complex biological features correlating to the efficacy of treatment response and survival. From a neuroimaging point of view, these specific molecular and histopathological features may be used to yield imaging biomarkers as surrogates for distinct tumor genotypes and phenotypes. The development of comprehensive glioma imaging markers has potential for improved glioma characterization that would assist in the clinical work-up of preoperative treatment planning and treatment effect monitoring. In particular, the differentiation of tumor recurrence or true progression from pseudoprogression, pseudoresponse, and radiation-induced necrosis can still not reliably be made through standard neuroimaging only. Given the abundant vascular and hemodynamic alterations present in diffuse glioma, advanced hemodynamic imaging approaches constitute an attractive area of clinical imaging development. In this context, the inclusion of objective measurable glioma imaging features may have the potential to enhance the individualized care of diffuse glioma patients, better informing of standard-of-care treatment efficacy and of novel therapies, such as the immunotherapies that are currently increasingly investigated. In Part B of this two-review series, we assess the available evidence pertaining to hemodynamic imaging for molecular feature prediction, in particular focusing on isocitrate dehydrogenase (IDH) mutation status, MGMT promoter methylation, 1p19q codeletion, and EGFR alterations. The results for the differentiation of tumor progression/recurrence from treatment effects have also been the focus of active research and are presented together with the prognostic correlations identified by advanced hemodynamic imaging studies. Finally, the state-of-the-art concepts and advancements of hemodynamic imaging modalities are reviewed together with the advantages derived from the implementation of radiomics and machine learning analyses pipelines.
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Affiliation(s)
- Vittorio Stumpo
- Department of Neurosurgery, University Hospital Zurich, 8091 Zurich, Switzerland; (L.G.); (J.B.); (C.H.B.V.N.); (M.S.); (L.R.); (J.F.)
- Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, 8057 Zurich, Switzerland; (A.B.); (M.W.); (Z.K.)
- Correspondence:
| | - Lelio Guida
- Department of Neurosurgery, University Hospital Zurich, 8091 Zurich, Switzerland; (L.G.); (J.B.); (C.H.B.V.N.); (M.S.); (L.R.); (J.F.)
- Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, 8057 Zurich, Switzerland; (A.B.); (M.W.); (Z.K.)
| | - Jacopo Bellomo
- Department of Neurosurgery, University Hospital Zurich, 8091 Zurich, Switzerland; (L.G.); (J.B.); (C.H.B.V.N.); (M.S.); (L.R.); (J.F.)
- Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, 8057 Zurich, Switzerland; (A.B.); (M.W.); (Z.K.)
| | - Christiaan Hendrik Bas Van Niftrik
- Department of Neurosurgery, University Hospital Zurich, 8091 Zurich, Switzerland; (L.G.); (J.B.); (C.H.B.V.N.); (M.S.); (L.R.); (J.F.)
- Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, 8057 Zurich, Switzerland; (A.B.); (M.W.); (Z.K.)
| | - Martina Sebök
- Department of Neurosurgery, University Hospital Zurich, 8091 Zurich, Switzerland; (L.G.); (J.B.); (C.H.B.V.N.); (M.S.); (L.R.); (J.F.)
- Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, 8057 Zurich, Switzerland; (A.B.); (M.W.); (Z.K.)
| | - Moncef Berhouma
- Department of Neurosurgical Oncology and Vascular Neurosurgery, Pierre Wertheimer Neurological and Neurosurgical Hospital, Hospices Civils de Lyon, 69500 Lyon, France;
| | - Andrea Bink
- Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, 8057 Zurich, Switzerland; (A.B.); (M.W.); (Z.K.)
- Department of Neuroradiology, University Hospital Zurich, 8091 Zurich, Switzerland
| | - Michael Weller
- Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, 8057 Zurich, Switzerland; (A.B.); (M.W.); (Z.K.)
- Department of Neurology, University Hospital Zurich, 8091 Zurich, Switzerland
| | - Zsolt Kulcsar
- Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, 8057 Zurich, Switzerland; (A.B.); (M.W.); (Z.K.)
- Department of Neuroradiology, University Hospital Zurich, 8091 Zurich, Switzerland
| | - Luca Regli
- Department of Neurosurgery, University Hospital Zurich, 8091 Zurich, Switzerland; (L.G.); (J.B.); (C.H.B.V.N.); (M.S.); (L.R.); (J.F.)
- Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, 8057 Zurich, Switzerland; (A.B.); (M.W.); (Z.K.)
| | - Jorn Fierstra
- Department of Neurosurgery, University Hospital Zurich, 8091 Zurich, Switzerland; (L.G.); (J.B.); (C.H.B.V.N.); (M.S.); (L.R.); (J.F.)
- Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, 8057 Zurich, Switzerland; (A.B.); (M.W.); (Z.K.)
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22
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Diffusion and perfusion imaging biomarkers of H3 K27M mutation status in diffuse midline gliomas. Neuroradiology 2022; 64:1519-1528. [PMID: 35083503 DOI: 10.1007/s00234-021-02857-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2021] [Accepted: 11/08/2021] [Indexed: 10/19/2022]
Abstract
PURPOSE H3K27M-mutant diffuse midline gliomas (M-DMGs) exhibit a clinically aggressive course. We studied diffusion-weighted imaging (DWI) and perfusion (PWI) MRI features of DMG with the hypothesis that DWI-PWI metrics can serve as biomarkers for the prediction of the H3K27M mutation status in DMGs. METHODS A retrospective review of the institutional database (imaging and histopathology) of patients with DMG (July 2016 to July 2020) was performed. Tumoral apparent diffusion coefficient (ADC) and peritumoral ADC (PT ADC) values and their normalized values (nADC and nPT ADC) were computed. Perfusion data were analyzed with manual arterial input function (AIF) and leakage correction (LC) Boxerman-Weiskoff models. Normalized maximum relative CBV (rCBV) was evaluated. Intergroup analysis of the imaging variables was done between M-DMGs and wild-type (WT-DMGs) groups. RESULTS Ninety-four cases (M-DMGs-n = 48 (51%) and WT-DMGs-n = 46(49%)) were included. Significantly lower PT ADC (mutant-1.1 ± 0.33, WT-1.23 ± 0.34; P = 0.033) and nPT ADC (mutant-1.64 ± 0.48, WT-1.83 ± 0.54; P = 0.040) were noted in the M-DMGs. The rCBV (mutant-25.17 ± 27.76, WT-13.73 ± 14.83; P = 0.018) and nrCBV (mutant-3.44 ± 2.16, WT-2.39 ± 1.25; P = 0.049) were significantly higher in the M-DMGs group. Among thalamic DMGs, the min ADC, PT ADC, and nADC and nPT ADC were lower in M-DMGs while nrCBV (corrected and uncorrected) was significantly higher. Receiver operator characteristic curve analysis demonstrated that PT ADC (cut-off-1.245), nPT ADC (cut-off-1.853), and nrCBV (cut-off-1.83) were significant independent predictors of H3K27M mutational status in DMGs. CONCLUSION DWI and PWI features hold value in preoperative prediction of H3K27M-mutation status in DMGs.
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23
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Hohm A, Karremann M, Gielen GH, Pietsch T, Warmuth-Metz M, Vandergrift LA, Bison B, Stock A, Hoffmann M, Pham M, Kramm CM, Nowak J. Magnetic Resonance Imaging Characteristics of Molecular Subgroups in Pediatric H3 K27M Mutant Diffuse Midline Glioma. Clin Neuroradiol 2021; 32:249-258. [PMID: 34919158 PMCID: PMC8894220 DOI: 10.1007/s00062-021-01120-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 10/28/2021] [Indexed: 11/28/2022]
Abstract
Purpose Recent research identified histone H3 K27M mutations to be associated with a dismal prognosis in pediatric diffuse midline glioma (pDMG); however, data on detailed MRI characteristics with respect to H3 K27 mutation status and molecular subgroups (H3.1 and H3.3 K27M mutations) are limited. Methods Standardized magnetic resonance imaging (MRI) parameters and epidemiologic data of 68 pDMG patients (age <18 years) were retrospectively reviewed and compared in a) H3 K27M mutant versus H3 K27 wildtype (WT) tumors and b) H3.1 versus H3.3 K27M mutant tumors. Results Intracranial gliomas (n = 58) showed heterogeneous phenotypes with isointense to hyperintense signal in T2-weighted images and frequent contrast enhancement. Hemorrhage and necrosis may be present. Comparing H3 K27M mutant to WT tumors, there were significant differences in the following parameters: i) tumor localization (p = 0.001), ii) T2 signal intensity (p = 0.021), and iii) T1 signal homogeneity (p = 0.02). No significant imaging differences were found in any parameter between H3.1 and H3.3 K27M mutant tumors; however, H3.1 mutant tumors occurred at a younger age (p = 0.004). Considering spinal gliomas (n = 10) there were no significant imaging differences between the analyzed molecular groups. Conclusion With this study, we are the first to provide detailed MR imaging data on H3 K27M mutant pDMG with respect to molecular subgroup status in a large patient cohort. Our findings may support diagnosis and future targeted therapeutic trials of pDMG within the framework of the radiogenomics concept. Supplementary Information The online version of this article (10.1007/s00062-021-01120-3) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Annika Hohm
- Neuroradiological Reference Center for the Pediatric Brain Tumor (HIT) Studies of the German Society of Pediatric Oncology and Hematology, Würzburg University Hospital, Würzburg, Germany
- Department of Neuroradiology, Würzburg University Hospital, Würzburg, Germany
- Current address: Division of Pediatric Stem Cell Transplantation and Immunology, University Children's Medical Clinic, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Michael Karremann
- Department of Pediatric and Adolescent Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Gerrit H Gielen
- Institute of Neuropathology, University Hospital Bonn, Bonn, Germany
| | - Torsten Pietsch
- Institute of Neuropathology, University Hospital Bonn, Bonn, Germany
| | - Monika Warmuth-Metz
- Neuroradiological Reference Center for the Pediatric Brain Tumor (HIT) Studies of the German Society of Pediatric Oncology and Hematology, Würzburg University Hospital, Würzburg, Germany
- Department of Neuroradiology, Würzburg University Hospital, Würzburg, Germany
| | - Lindsey A Vandergrift
- Departments of Radiology and Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Brigitte Bison
- Neuroradiological Reference Center for the Pediatric Brain Tumor (HIT) Studies of the German Society of Pediatric Oncology and Hematology, Würzburg University Hospital, Würzburg, Germany
- Current address: Neuroradiological Reference Center for the Pediatric Brain Tumor (HIT) Studies of the German Society of Pediatric Oncology and Hematology, Department of Neuroradiology, University Augsburg, Faculty of Medicine, Augsburg, Germany
| | - Annika Stock
- Neuroradiological Reference Center for the Pediatric Brain Tumor (HIT) Studies of the German Society of Pediatric Oncology and Hematology, Würzburg University Hospital, Würzburg, Germany
- Department of Neuroradiology, Würzburg University Hospital, Würzburg, Germany
| | - Marion Hoffmann
- Division of Pediatric Hematology and Oncology, University Medical Center Göttingen, Göttingen, Germany
| | - Mirko Pham
- Department of Neuroradiology, Würzburg University Hospital, Würzburg, Germany
| | - Christof M Kramm
- Division of Pediatric Hematology and Oncology, University Medical Center Göttingen, Göttingen, Germany
| | - Johannes Nowak
- Neuroradiological Reference Center for the Pediatric Brain Tumor (HIT) Studies of the German Society of Pediatric Oncology and Hematology, Würzburg University Hospital, Würzburg, Germany.
- Department of Neuroradiology, Würzburg University Hospital, Würzburg, Germany.
- SRH Poliklinik Gera GmbH, Radiology Gotha, Gotha, Germany.
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Zaccagna F, Grist JT, Quartuccio N, Riemer F, Fraioli F, Caracò C, Halsey R, Aldalilah Y, Cunningham CH, Massoud TF, Aloj L, Gallagher FA. Imaging and treatment of brain tumors through molecular targeting: Recent clinical advances. Eur J Radiol 2021; 142:109842. [PMID: 34274843 DOI: 10.1016/j.ejrad.2021.109842] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Accepted: 06/24/2021] [Indexed: 02/07/2023]
Abstract
Molecular imaging techniques have rapidly progressed over recent decades providing unprecedented in vivo characterization of metabolic pathways and molecular biomarkers. Many of these new techniques have been successfully applied in the field of neuro-oncological imaging to probe tumor biology. Targeting specific signaling or metabolic pathways could help to address several unmet clinical needs that hamper the management of patients with brain tumors. This review aims to provide an overview of the recent advances in brain tumor imaging using molecular targeting with positron emission tomography and magnetic resonance imaging, as well as the role in patient management and possible therapeutic implications.
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Affiliation(s)
- Fulvio Zaccagna
- Division of Neuroimaging, Department of Medical Imaging, University of Toronto, Toronto, Canada.
| | - James T Grist
- Department of Physiology, Anatomy, and Genetics, University of Oxford, Oxford, United Kingdom; Oxford Centre for Clinical Magnetic Resonance Research, University of Oxford, Oxford, United Kingdom; Department of Radiology, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom; Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Natale Quartuccio
- Nuclear Medicine Unit, A.R.N.A.S. Ospedali Civico Di Cristina Benfratelli, Palermo, Italy
| | - Frank Riemer
- Mohn Medical Imaging and Visualization Centre, University of Bergen, Bergen, Norway; Department of Radiology, Haukeland University Hospital, Bergen, Norway
| | - Francesco Fraioli
- Institute of Nuclear Medicine, University College London, London, United Kingdom; NIHR University College London Hospitals Biomedical Research Centre, London, United Kingdom
| | - Corradina Caracò
- Department of Radiology, University of Cambridge, Cambridge, United Kingdom
| | - Richard Halsey
- Institute of Nuclear Medicine, University College London, London, United Kingdom; NIHR University College London Hospitals Biomedical Research Centre, London, United Kingdom
| | - Yazeed Aldalilah
- Institute of Nuclear Medicine, University College London, London, United Kingdom; NIHR University College London Hospitals Biomedical Research Centre, London, United Kingdom; Department of Radiology, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Charles H Cunningham
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada; Physical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Tarik F Massoud
- Division of Neuroimaging and Neurointervention, Department of Radiology, Stanford University School of Medicine, Stanford, USA
| | - Luigi Aloj
- Department of Radiology, University of Cambridge, Cambridge, United Kingdom; Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Ferdia A Gallagher
- Department of Radiology, University of Cambridge, Cambridge, United Kingdom; Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
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Zhuo Z, Qu L, Zhang P, Duan Y, Cheng D, Xu X, Sun T, Ding J, Xie C, Liu X, Haller S, Barkhof F, Zhang L, Liu Y. Prediction of H3K27M-mutant brainstem glioma by amide proton transfer-weighted imaging and its derived radiomics. Eur J Nucl Med Mol Imaging 2021; 48:4426-4436. [PMID: 34131804 DOI: 10.1007/s00259-021-05455-4] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 06/07/2021] [Indexed: 01/28/2023]
Abstract
PURPOSE H3K27M-mutant associated brainstem glioma (BSG) carries a very poor prognosis. We aimed to predict H3K27M mutation status by amide proton transfer-weighted (APTw) imaging and radiomic features. METHODS Eighty-one BSG patients with APTw imaging at 3T MR and known H3K27M status were retrospectively studied. APTw values (mean, median, and max) and radiomic features within manually delineated 3D tumor masks were extracted. Comparison of APTw measures between H3K27M-mutant and wildtype groups was conducted by two-sample Student's T/Mann-Whitney U test and receiver operating characteristic curve (ROC) analysis. H3K27M-mutant prediction using APTw-derived radiomics was conducted using a machine learning algorithm (support vector machine) in randomly selected train (n = 64) and test (n = 17) sets. Sensitivity analysis with additional random splits of train and test sets, 2D tumor masks, and other classifiers were conducted. Finally, a prospective cohort including 29 BSG patients was acquired for validation of the radiomics algorithm. RESULTS BSG patients with H3K27M-mutant were younger and had higher max APTw values than those with wildtype. APTw-derived radiomic measures reflecting tumor heterogeneity could predict H3K27M mutation status with an accuracy of 0.88, sensitivity of 0.92, and specificity of 0.80 in the test set. Sensitivity analysis confirmed the predictive ability (accuracy range: 0.71-0.94). In the independent prospective validation cohort, the algorithm reached an accuracy of 0.86, sensitivity of 0.88, and specificity of 0.85 for predicting H3K27M-mutation status. CONCLUSION BSG patients with H3K27M-mutant had higher max APTw values than those with wildtype. APTw-derived radiomics could accurately predict a H3K27M-mutant status in BSG patients.
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Affiliation(s)
- Zhizheng Zhuo
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Liying Qu
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Peng Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 10070, China
| | - Yunyun Duan
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Dan Cheng
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Xiaolu Xu
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Ting Sun
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Jinli Ding
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Cong Xie
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Xing Liu
- Department of Pathology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 10070, China
| | - Sven Haller
- Department of Imaging and Medical Informatics, University Hospitals of Geneva and Faculty of Medicine of the University of Geneva, Geneva, Switzerland
| | - Frederik Barkhof
- UCL Institutes of Neurology and Healthcare Engineering, London, UK.,Department of Radiology & Nuclear Medicine, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Liwei Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 10070, China.
| | - Yaou Liu
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China.
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Calmon R, Dangouloff-Ros V, Varlet P, Deroulers C, Philippe C, Debily MA, Castel D, Beccaria K, Blauwblomme T, Grevent D, Levy R, Roux CJ, Purcell Y, Saitovitch A, Zilbovicius M, Dufour C, Puget S, Grill J, Boddaert N. Radiogenomics of diffuse intrinsic pontine gliomas (DIPGs): correlation of histological and biological characteristics with multimodal MRI features. Eur Radiol 2021; 31:8913-8924. [PMID: 34003354 DOI: 10.1007/s00330-021-07991-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Revised: 03/10/2021] [Accepted: 04/09/2021] [Indexed: 12/14/2022]
Abstract
OBJECTIVES The diffuse intrinsic pontine gliomas (DIPGs) are now defined by the type of histone H3 mutated at lysine 27. We aimed to correlate the multimodal MRI features of DIPGs, H3K27M mutant, with their histological and molecular characteristics. METHODS Twenty-seven treatment-naïve children with histopathologically confirmed DIPG H3K27M mutant were prospectively included. MRI performed prior to biopsy included multi-b-value diffusion-weighted imaging, ASL, and dynamic susceptibility contrast (DSC) perfusion imaging. The ADC and cerebral blood flow (CBF) and blood volume (CBV) were measured at the biopsy site. We assessed quantitative histological data, including microvascular density, nuclear density, and H3K27M-positive nuclear density. Gene expression profiling was also assessed in the samples. We compared imaging and histopathological data according to histone subgroup. We correlated MRI quantitative data with histological data and gene expression. RESULTS H3.1K27M mutated tumors showed higher ADC values (median 3151 μm2/s vs 1741 μm2/s, p = 0.003), and lower perfusion values (DSC-rCBF median 0.71 vs 1.43, p = 0.002, and DSC-rCBV median 1.00 vs 1.71, p = 0.02) than H3.3K27M ones. They had similar microvascular and nuclear density, but lower H3K27M-positive nuclear density (p = 0.007). The DSC-rCBV was positively correlated to the H3K27M-positive nuclear density (rho = 0.74, p = 0.02). ADC values were not correlated with nuclear density nor perfusion values with microvascular density. The expression of gated channel activity-related genes tended to be inversely correlated with ADC values and positively correlated with DSC perfusion. CONCLUSIONS H3.1K27M mutated tumors have higher ADC and lower perfusion values than H3.3K27M ones, without direct correlation with microvascular or nuclear density. This may be due to tissular edema possibly related to gated channel activity-related gene expression. KEY POINTS • H3.1K27M mutant DIPG had higher apparent diffusion coefficient (p = 0.003), lower α (p = 0.048), and lower relative cerebral blood volume (p = 0.02) than H3.3K27M mutant DIPG at their biopsy sites. • Biopsy samples obtained within the tumor's enhancing portion showed higher microvascular density (p = 0.03) than samples obtained outside the tumor's enhancing portion, but similar H3K27M-positive nuclear density (p = 0.84). • Relative cerebral blood volume measured at the biopsy site was significantly correlated with H3K27M-positive nuclear density (rho = 0.74, p = 0.02).
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Affiliation(s)
- Raphaël Calmon
- Pediatric Radiology Department, AP-HP, Hôpital Universitaire Necker-Enfants Malades, 149 rue de Sèvres, F-75015, Paris, France.,Université de Paris, INSERM ERL UA10, F-75015, Paris, France.,Université de Paris, UMR 1163, Institut Imagine, F-75015, Paris, France
| | - Volodia Dangouloff-Ros
- Pediatric Radiology Department, AP-HP, Hôpital Universitaire Necker-Enfants Malades, 149 rue de Sèvres, F-75015, Paris, France. .,Université de Paris, INSERM ERL UA10, F-75015, Paris, France. .,Université de Paris, UMR 1163, Institut Imagine, F-75015, Paris, France.
| | - Pascale Varlet
- Neuropathology Department, Sainte-Anne Hospital, F-75014, Paris, France.,Université de Paris, INSERM U894, IMA BRAIN, F-75014, Paris, France
| | | | - Cathy Philippe
- Université Paris-Saclay, Neurospin, Institut Joliot, CEA, Gif-sur-Yvette, France
| | | | - David Castel
- Université Paris-Saclay, UMR8203, CNRS, F-94805, Villejuif, France
| | - Kevin Beccaria
- Pediatric Neurosurgery Department, AP-HP, Hôpital Universitaire Necker-Enfants Malades, F-75015, Paris, France.,Université de Paris, F-75015, Paris, France
| | - Thomas Blauwblomme
- Pediatric Neurosurgery Department, AP-HP, Hôpital Universitaire Necker-Enfants Malades, F-75015, Paris, France.,Université de Paris, F-75015, Paris, France
| | - David Grevent
- Pediatric Radiology Department, AP-HP, Hôpital Universitaire Necker-Enfants Malades, 149 rue de Sèvres, F-75015, Paris, France.,Université de Paris, INSERM ERL UA10, F-75015, Paris, France.,Université de Paris, UMR 1163, Institut Imagine, F-75015, Paris, France
| | - Raphael Levy
- Pediatric Radiology Department, AP-HP, Hôpital Universitaire Necker-Enfants Malades, 149 rue de Sèvres, F-75015, Paris, France.,Université de Paris, INSERM ERL UA10, F-75015, Paris, France.,Université de Paris, UMR 1163, Institut Imagine, F-75015, Paris, France
| | - Charles-Joris Roux
- Pediatric Radiology Department, AP-HP, Hôpital Universitaire Necker-Enfants Malades, 149 rue de Sèvres, F-75015, Paris, France.,Université de Paris, INSERM ERL UA10, F-75015, Paris, France.,Université de Paris, UMR 1163, Institut Imagine, F-75015, Paris, France
| | - Yvonne Purcell
- Radiology Department, Fondation Rothschild, F-75019, Paris, France
| | - Ana Saitovitch
- Université de Paris, INSERM ERL UA10, F-75015, Paris, France.,Université de Paris, UMR 1163, Institut Imagine, F-75015, Paris, France
| | - Monica Zilbovicius
- Université de Paris, INSERM ERL UA10, F-75015, Paris, France.,Université de Paris, UMR 1163, Institut Imagine, F-75015, Paris, France
| | - Christelle Dufour
- Université Paris-Saclay, UMR8203, CNRS, F-94805, Villejuif, France.,Department of Pediatric and Adolescent Oncology, Institut Gustave Roussy, F-94805, Villejuif, France
| | - Stéphanie Puget
- Pediatric Neurosurgery Department, AP-HP, Hôpital Universitaire Necker-Enfants Malades, F-75015, Paris, France.,Université de Paris, F-75015, Paris, France
| | - Jacques Grill
- Université Paris-Saclay, UMR8203, CNRS, F-94805, Villejuif, France.,Department of Pediatric and Adolescent Oncology, Institut Gustave Roussy, F-94805, Villejuif, France
| | - Nathalie Boddaert
- Pediatric Radiology Department, AP-HP, Hôpital Universitaire Necker-Enfants Malades, 149 rue de Sèvres, F-75015, Paris, France.,Université de Paris, INSERM ERL UA10, F-75015, Paris, France.,Université de Paris, UMR 1163, Institut Imagine, F-75015, Paris, France
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Marner L, Lundemann M, Sehested A, Nysom K, Borgwardt L, Mathiasen R, Wehner PS, Henriksen OM, Thomsen C, Skjøth-Rasmussen J, Broholm H, Østrup O, Forman JL, Højgaard L, Law I. Diagnostic Accuracy and Clinical Impact of [ 18F]FET PET in Childhood CNS tumors. Neuro Oncol 2021; 23:2107-2116. [PMID: 33864083 DOI: 10.1093/neuonc/noab096] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Central nervous system (CNS) tumors cause the highest death rates among childhood cancers, and survivors frequently have severe late effects. Magnetic resonance imaging (MRI) is the imaging modality of choice, but its specificity can be challenged by treatment-induced signal changes. In adults, O-(2-[ 18F]fluoroethyl)-L-tyrosine ([ 18F]FET) PET can assist in interpreting MRI findings. We assessed the clinical impact and diagnostic accuracy of adding [ 18F]FET PET to MRI in children with CNS tumors. METHODS A total of 169 [ 18F]FET PET scans were performed in 97 prospectively and consecutively included patients with known or suspected childhood CNS tumors. Scans were performed at primary diagnosis, before or after treatment, or at relapse. RESULTS Adding [ 18F]FET PET to MRI impacted clinical management in 8% [95% confidence interval (CI): 4-13%] of all scans (n=151) and in 33% [CI: 17-53%] of scans deemed clinically indicated due to difficult decision-making on MRI alone (n=30). Using pathology or follow-up as reference standard, the addition of [ 18F]FET PET increased specificity (1.00 [0.82-1.00] vs. 0.48 [0.30-0.70], p=0.0001) and accuracy (0.91 [CI: 0.87-0.96] vs. 0.81 [CI: 0.75-0.89], p=0.04) in 83 treated lesions and accuracy in 58 untreated lesions (0.96 [CI:0.91-1.00] vs 0.90 [CI:0.82-0.92], p<0.001). Further, in a subset of patients (n=15) [ 18F]FET uptake correlated positively with genomic proliferation index. CONCLUSIONS The addition of [ 18F]FET PET to MRI helped discriminate tumor from non-tumor lesions in the largest consecutive cohort of pediatric CNS tumor patients presented to date.
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Affiliation(s)
- Lisbeth Marner
- Department of Clinical Physiology, Nuclear Medicine and PET, Copenhagen University Hospital Rigshospitalet, Denmark.,Department of Clinical Physiology and Nuclear Medicine, Copenhagen University Hospital Bispebjerg, Denmark
| | - Michael Lundemann
- Department of Clinical Physiology, Nuclear Medicine and PET, Copenhagen University Hospital Rigshospitalet, Denmark
| | - Astrid Sehested
- Department of Paediatrics and Adolescent Medicine, Copenhagen University Hospital Rigshospitalet, Denmark
| | - Karsten Nysom
- Department of Paediatrics and Adolescent Medicine, Copenhagen University Hospital Rigshospitalet, Denmark
| | - Lise Borgwardt
- Department of Clinical Physiology, Nuclear Medicine and PET, Copenhagen University Hospital Rigshospitalet, Denmark
| | - René Mathiasen
- Department of Paediatrics and Adolescent Medicine, Copenhagen University Hospital Rigshospitalet, Denmark
| | - Peder S Wehner
- Hans Christian Andersen Children's Hospital, Odense University Hospital, Denmark
| | - Otto M Henriksen
- Department of Clinical Physiology, Nuclear Medicine and PET, Copenhagen University Hospital Rigshospitalet, Denmark
| | - Carsten Thomsen
- Department of Diagnostic Radiology, Copenhagen University Hospital Rigshospitalet, Denmark.,Department of Radiology, Zealand University Hospital, Denmark
| | | | - Helle Broholm
- Department of Pathology, Copenhagen University Hospital Rigshospitalet, Denmark
| | - Olga Østrup
- Department of Genomic Medicine, Copenhagen University Hospital Rigshospitalet, Denmark
| | - Julie L Forman
- Section of Biostatistics, Department of Public Health, University of Copenhagen, Denmark
| | - Liselotte Højgaard
- Department of Clinical Physiology, Nuclear Medicine and PET, Copenhagen University Hospital Rigshospitalet, Denmark
| | - Ian Law
- Department of Clinical Physiology, Nuclear Medicine and PET, Copenhagen University Hospital Rigshospitalet, Denmark
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Sanvito F, Castellano A, Falini A. Advancements in Neuroimaging to Unravel Biological and Molecular Features of Brain Tumors. Cancers (Basel) 2021; 13:cancers13030424. [PMID: 33498680 PMCID: PMC7865835 DOI: 10.3390/cancers13030424] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Revised: 01/15/2021] [Accepted: 01/19/2021] [Indexed: 12/14/2022] Open
Abstract
Simple Summary Advanced neuroimaging is gaining increasing relevance for the characterization and the molecular profiling of brain tumor tissue. On one hand, for some tumor types, the most widespread advanced techniques, investigating diffusion and perfusion features, have been proven clinically feasible and rather robust for diagnosis and prognosis stratification. In addition, 2-hydroxyglutarate spectroscopy, for the first time, offers the possibility to directly measure a crucial molecular marker. On the other hand, numerous innovative approaches have been explored for a refined evaluation of tumor microenvironments, particularly assessing microstructural and microvascular properties, and the potential applications of these techniques are vast and still to be fully explored. Abstract In recent years, the clinical assessment of primary brain tumors has been increasingly dependent on advanced magnetic resonance imaging (MRI) techniques in order to infer tumor pathophysiological characteristics, such as hemodynamics, metabolism, and microstructure. Quantitative radiomic data extracted from advanced MRI have risen as potential in vivo noninvasive biomarkers for predicting tumor grades and molecular subtypes, opening the era of “molecular imaging” and radiogenomics. This review presents the most relevant advancements in quantitative neuroimaging of advanced MRI techniques, by means of radiomics analysis, applied to primary brain tumors, including lower-grade glioma and glioblastoma, with a special focus on peculiar oncologic entities of current interest. Novel findings from diffusion MRI (dMRI), perfusion-weighted imaging (PWI), and MR spectroscopy (MRS) are hereby sifted in order to evaluate the role of quantitative imaging in neuro-oncology as a tool for predicting molecular profiles, stratifying prognosis, and characterizing tumor tissue microenvironments. Furthermore, innovative technological approaches are briefly addressed, including artificial intelligence contributions and ultra-high-field imaging new techniques. Lastly, after providing an overview of the advancements, we illustrate current clinical applications and future perspectives.
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Affiliation(s)
- Francesco Sanvito
- Neuroradiology Unit and CERMAC, IRCCS Ospedale San Raffaele, 20132 Milan, Italy; (F.S.); (A.F.)
- School of Medicine, Vita-Salute San Raffaele University, 20132 Milan, Italy
- Unit of Radiology, Department of Clinical, Surgical, Diagnostic, and Pediatric Sciences, University of Pavia, 27100 Pavia, Italy
| | - Antonella Castellano
- Neuroradiology Unit and CERMAC, IRCCS Ospedale San Raffaele, 20132 Milan, Italy; (F.S.); (A.F.)
- School of Medicine, Vita-Salute San Raffaele University, 20132 Milan, Italy
- Correspondence: ; Tel.: +39-02-2643-3015
| | - Andrea Falini
- Neuroradiology Unit and CERMAC, IRCCS Ospedale San Raffaele, 20132 Milan, Italy; (F.S.); (A.F.)
- School of Medicine, Vita-Salute San Raffaele University, 20132 Milan, Italy
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29
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Comparison of Amino Acid PET to Advanced and Emerging MRI Techniques for Neurooncology Imaging: A Systematic Review of the Recent Studies. Mol Imaging 2021; 2021:8874078. [PMID: 34194287 PMCID: PMC8205602 DOI: 10.1155/2021/8874078] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Revised: 10/23/2020] [Accepted: 11/17/2020] [Indexed: 12/16/2022] Open
Abstract
Introduction Standard neuroimaging protocols for brain tumors have well-known limitations. The clinical use of additional modalities including amino acid PET (aaPET) and advanced MRI (aMRI) techniques (including DWI, PWI, and MRS) is emerging in response to the need for more accurate detection of brain tumors. In this systematic review of the past 2 years of the literature, we discuss the most recent studies that directly compare or combine aaPET and aMRI for brain tumor imaging. Methods A PubMed search was conducted for human studies incorporating both aaPET and aMRI and published between July 2018 and August 2020. Results A total of 22 studies were found in the study period. Recent studies of aaPET with DWI showed a superiority of MET, FET, FDOPA, and AMT PET for detecting tumor, predicting recurrence, diagnosing progression, and predicting survival. Combining modalities further improved performance. Comparisons of aaPET with PWI showed mixed results about spatial correlation. However, both modalities were able to detect high-grade tumors, identify tumor recurrence, differentiate recurrence from treatment effects, and predict survival. aaPET performed better on these measures than PWI, but when combined, they had the strongest results. Studies of aaPET with MRS demonstrated that both modalities have diagnostic potential but MET PET and FDOPA PET performed better than MRS. MRS suffered from some data quality issues that limited analysis in two studies, and, in one study that combined modalities, overall performance actually decreased. Four recent studies compared aaPET with emerging MRI approaches (such as CEST imaging, MR fingerprinting, and SISTINA), but the initial results remain inconclusive. Conclusions aaPET outperformed the aMRI imaging techniques in most recent studies. DWI and PWI added meaningful complementary data, and the combination of aaPET with aMRI yielded the best results in most studies.
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30
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Morana G, Tortora D, Bottoni G, Puntoni M, Piatelli G, Garibotto F, Barra S, Giannelli F, Cistaro A, Severino M, Verrico A, Milanaccio C, Massimino M, Garrè ML, Rossi A, Piccardo A. Correlation of multimodal 18F-DOPA PET and conventional MRI with treatment response and survival in children with diffuse intrinsic pontine gliomas. Am J Cancer Res 2020; 10:11881-11891. [PMID: 33204317 PMCID: PMC7667677 DOI: 10.7150/thno.50598] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2020] [Accepted: 10/03/2020] [Indexed: 01/29/2023] Open
Abstract
To evaluate the contribution of 18F-dihydroxyphenylalanine (DOPA) PET in association with conventional MRI in predicting treatment response and survival outcome of pediatric patients with diffuse intrinsic pontine gliomas (DIPGs). Methods: We retrospectively analyzed 19 children with newly diagnosed DIPGs who underwent 18F-DOPA PET/CT and conventional MRI within one week of each other at admission and subsequent MRI follow-up. Following co-registration and fusion of PET and MRI, 18F-DOPA uptake avidity and extent (PET tumor volume and uniformity) at admission, along with MRI indices including presence of ring contrast-enhancement, tumor volume at admission and at maximum response following first-line treatment, were evaluated and correlated with overall survival (OS). The association between 18F-DOPA uptake tumor volume at admission and MRI tumor volume following treatment was evaluated. Statistics included Wilcoxon signed-rank and Mann-Whitney U tests, Kaplan-Meier OS curve and Cox analysis. Results: DIPGs with a 18F-DOPA uptake Tumor/Striatum (T/S) ratio >1 presented an OS ≤ 12 months and lower degree of tumor volume reduction following treatment (p = 0.001). On multivariate analysis, T/S (p = 0.001), ring enhancement (p = 0.01) and the degree of MRI tumor volume reduction (p = 0.01) independently correlated with OS. In all patients, areas of increased 18F-DOPA uptake overlapped with regions demonstrating more prominent residual components/lack of response following treatment. Conclusions:18F-DOPA PET provides useful information for evaluating the metabolism of DIPGs. T/S ratio is an independent predictor of outcome. 18F-DOPA uptake extent delineates tumoral regions with a more aggressive biological behaviour, less sensitive to first line treatment.
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31
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Johnson GB, Harms HJ, Johnson DR, Jacobson MS. PET Imaging of Tumor Perfusion: A Potential Cancer Biomarker? Semin Nucl Med 2020; 50:549-561. [PMID: 33059824 DOI: 10.1053/j.semnuclmed.2020.07.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Perfusion, as measured by imaging, is considered a standard of care biomarker for the evaluation of many tumors. Measurements of tumor perfusion may be used in a number of ways, including improving the visual detection of lesions, differentiating malignant from benign findings, assessing aggressiveness of tumors, identifying ischemia and by extension hypoxia within tumors, and assessing treatment response. While most clinical perfusion imaging is currently performed with CT or MR, a number of methods for PET imaging of tumor perfusion have been described. The inert PET radiotracer 15O-water PET represents the recognized gold standard for absolute quantification of tissue perfusion in both normal tissue and a variety of pathological conditions including cancer. Other cancer PET perfusion imaging strategies include the use of radiotracers with high first-pass uptake, analogous to those used in cardiac perfusion PET. This strategy produces more visually pleasing high-contrast images that provide relative rather than absolute perfusion quantification. Lastly, multiple timepoint imaging of PET tracers such as 18F-FDG, are not specifically optimized for perfusion, but have advantages related to availability, convenience, and reimbursement. Multiple obstacles have thus far blocked the routine use of PET imaging for tumor perfusion, including tracer production and distribution, image processing, patient body coverage, clinical validation, regulatory approval and reimbursement, and finally feasible clinical workflows. Fortunately, these obstacles are being overcome, especially within larger imaging centers, opening the door for PET imaging of tumor perfusion to become standard clinical practice. In the foreseeable future, it is possible that whole-body PET perfusion imaging with 15O-water will be able to be performed in a single imaging session concurrent with standard PET imaging techniques such as 18F-FDG-PET. This approach could establish an efficient clinical workflow. The resultant ability to measure absolute tumor blood flow in combination with glycolysis will provide important complementary information to inform prognosis and clinical decisions.
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Affiliation(s)
- Geoffrey B Johnson
- Department of Radiology, Mayo Clinic, Rochester, MNDepartment of Neurology, Mayo Clinic, Rochester, MN; Department of Immunology, Mayo Clinic, Rochester, MN.
| | - Hendrik J Harms
- Department of Surgical Sciences, Nuclear Medicine, PET and Radiology, Uppsala University, Uppsala Sweden
| | - Derek R Johnson
- Department of Radiology, Mayo Clinic, Rochester, MNDepartment of Neurology, Mayo Clinic, Rochester, MN
| | - Mark S Jacobson
- Department of Radiology, Mayo Clinic, Rochester, MNDepartment of Neurology, Mayo Clinic, Rochester, MN
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32
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Garibotto F, Madia F, Milanaccio C, Verrico A, Piccardo A, Tortora D, Piatelli G, Diana MC, Capra V, Garrè ML, Rossi A, Morana G. Pediatric Diffuse Midline Gliomas H3 K27M-Mutant and Non-Histone Mutant Midline High-Grade Gliomas in Neurofibromatosis Type 1 in Comparison With Non-Syndromic Children: A Single-Center Pilot Study. Front Oncol 2020; 10:795. [PMID: 32582540 PMCID: PMC7283930 DOI: 10.3389/fonc.2020.00795] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2020] [Accepted: 04/22/2020] [Indexed: 12/17/2022] Open
Abstract
Background: Pediatric neurofibromatosis type 1 (NF1) patients rarely develop aggressive central nervous system tumors. Among high-grade gliomas (HGGs), histone mutant diffuse midline gliomas (DMGs H3 K27M-mutant) have exceptionally been reported. The aim of this retrospectives single-center study was to compare the clinical behavior of DMGs H3 K27M-mutant and non-histone mutant midline HGGs in NF1 vs. non-syndromic children and to report imaging features of NF1 HGGs. Method: We conducted a retrospective review of cerebral DMGs H3 K27M-mutant or non-histone mutant HGGs in 18 patients with or without NF1 followed at our institution between 2010 and 2018. Differences in outcomes, notably progression-free survival (PFS) and overall survival (OS), were evaluated. Results: Two patients were identified with genetically confirmed diagnosis of NF1 and cerebral HGGs (one DMG H3 K27M-mutant and one histone wild type). Both subjects presented with midline mass lesions with imaging features of aggressive biological activity on advanced MRI or amino-acid PET. During the same time period, 16 non-NF1 patients (11 subjects with DMGs H3 K27M-mutant and 5 with non-histone mutant midline HGGs) were treated at our institution. The two patients with NF1 and HGGs presented a PFS of 3 months and an OS of 5 and 7 months. Median PFS and OS of children without NF1 were respectively 6 and 10 months in DMGs H3 K27M-mutant, and 6 and 11 months in H3 K27M wild-type tumors. Seventy-five percent of subjects with non-NF1 HGGs presented a PFS >4 months compared to 0% in NF1 patients. The 8-month OS of patients with non-NF1 HGGs was 81% compared to 0% in NF1 patients. Conclusions: Cerebral HGGs arising in midline structures rarely occur in pediatric patients with NF1 and present with extremely poor prognosis, worse than HGGs developing in non-NF1 patients, independent of the presence or absence of H3 K27M mutation. Imaging features of aggressive biological activity on advanced MRI or amino-acid PET imaging suggest prompt neuropathological and molecular investigations.
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Affiliation(s)
| | - Francesca Madia
- Laboratory of Neurogenetics and Neuroscience, IRCCS Istituto G. Gaslini, Genova, Italy
| | | | - Antonio Verrico
- Neuro-oncology Unit, IRCCS Istituto G. Gaslini, Genova, Italy
| | - Arnoldo Piccardo
- Nuclear Medicine Unit, Ente Ospedaliero Ospedali Galliera, Genova, Italy
| | | | | | - Maria Cristina Diana
- Pediatric Neurology and Muscular Diseases Unit, IRCCS Istituto G. Gaslini, Genova, Italy
| | - Valeria Capra
- Neurosurgery Unit, IRCCS Istituto G. Gaslini, Genova, Italy
| | | | - Andrea Rossi
- Neuroradiology Unit, IRCCS Istituto G. Gaslini, Genova, Italy
| | - Giovanni Morana
- Neuroradiology Unit, IRCCS Istituto G. Gaslini, Genova, Italy
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Role of diffusion weighted imaging for differentiating cerebral pilocytic astrocytoma and ganglioglioma BRAF V600E-mutant from wild type. Neuroradiology 2019; 62:71-80. [PMID: 31667545 DOI: 10.1007/s00234-019-02304-y] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Accepted: 10/03/2019] [Indexed: 12/22/2022]
Abstract
PURPOSE BRAF V600E mutation is a distinctive genomic alteration of pediatric low-grade gliomas with prognostic and therapeutic implications. The aim of this retrospective multicenter study was to analyze imaging features of BRAF V600E-mutant and wild-type cerebral pilocytic astrocytomas (PAs) and gangliogliomas (GGs), focusing on the role of diffusion weighted imaging (DWI). METHODS We retrospectively evaluated 56 pediatric patients with histologically proven, treatment-naïve PAs and GGs who underwent conventional MRI, DWI, and molecular analysis for BRAF V600E mutation. Twenty-three subjects presented BRAF V600E-mutant (12 PAs and 11 GGs) and 33 BRAF V600E wild-type (26 PAs and 7 GGs) tumors. Imaging studies were reviewed for dominant site, margin definition, hemorrhage, calcification, cystic components, contrast enhancement, and relative mean and minimum ADC values (rADCmean and rADCmin). Statistics included Fisher's exact test, Student t test, general linear model, and receiver operating characteristic (ROC) analysis. RESULTS PA and GG BRAF V600E-mutant had significantly lower rADCmean (p < 0.001) and rADCmin (p < 0.001) values than wild type, regardless of tumor histology and location. ROC analysis demonstrated similar performances between these parameters in predicting BRAF V600E status (rADCmean: AUC 0.831, p < 0.001; rADCmin: AUC 0.885, p < 0.001). No significant differences regarding additional imaging features emerged between BRAF V600E-mutant and wild-type lesions, with the exception of the number of tumors with cystic components, significantly higher in BRAF V600E-mutant PAs (p = 0.011) CONCLUSION: Assessment of the DWI characteristics of GGs and PAs may assist in predicting BRAF V600E status, suggesting a radiogenomic correlation and prompt molecular characterization of these tumors.
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