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Chekhonin IV, Cohen O, Otazo R, Young RJ, Holodny AI, Pronin IN. Magnetic resonance relaxometry in quantitative imaging of brain gliomas: A literature review. Neuroradiol J 2024; 37:267-275. [PMID: 37133228 PMCID: PMC11138331 DOI: 10.1177/19714009231173100] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/04/2023] Open
Abstract
Magnetic resonance (MR) relaxometry is a quantitative imaging method that measures tissue relaxation properties. This review discusses the state of the art of clinical proton MR relaxometry for glial brain tumors. Current MR relaxometry technology also includes MR fingerprinting and synthetic MRI, which solve the inefficiencies and challenges of earlier techniques. Despite mixed results regarding its capability for brain tumor differential diagnosis, there is growing evidence that MR relaxometry can differentiate between gliomas and metastases and between glioma grades. Studies of the peritumoral zones have demonstrated their heterogeneity and possible directions of tumor infiltration. In addition, relaxometry offers T2* mapping that can define areas of tissue hypoxia not discriminated by perfusion assessment. Studies of tumor therapy response have demonstrated an association between survival and progression terms and dynamics of native and contrast-enhanced tumor relaxometric profiles. In conclusion, MR relaxometry is a promising technique for glial tumor diagnosis, particularly in association with neuropathological studies and other imaging techniques.
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Affiliation(s)
- Ivan V Chekhonin
- Federal State Autonomous Institution N.N. Burdenko National Medical Research Center of Neurosurgery of the Ministry of Health of the Russian Federation, Moscow, Russian Federation
- Federal State Budgetary Institution V.P. Serbsky National Medical Research Centre for Psychiatry and Narcology of the Ministry of Health of the Russian Federation, Moscow, Russian Federation
| | - Ouri Cohen
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Ricardo Otazo
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Robert J Young
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Andrei I Holodny
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Radiology, Weill Medical College of Cornell University, New York, NY, USA
- Department of Neuroscience, Weill Cornell Graduate School of the Medical Sciences, New York, NY, USA
| | - Igor N Pronin
- Federal State Autonomous Institution N.N. Burdenko National Medical Research Center of Neurosurgery of the Ministry of Health of the Russian Federation, Moscow, Russian Federation
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Ortiz de Mendivil A, Martín-Medina P, García-Cañamaque L, Jiménez-Munarriz B, Ciérvide R, Diamantopoulos J. Challenges in radiological evaluation of brain metastases, beyond progression. RADIOLOGIA 2024; 66:166-180. [PMID: 38614532 DOI: 10.1016/j.rxeng.2024.03.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 04/02/2023] [Indexed: 04/15/2024]
Abstract
MRI is the cornerstone in the evaluation of brain metastases. The clinical challenges lie in discriminating metastases from mimickers such as infections or primary tumors and in evaluating the response to treatment. The latter sometimes leads to growth, which must be framed as pseudo-progression or radionecrosis, both inflammatory phenomena attributable to treatment, or be considered as recurrence. To meet these needs, imaging techniques are the subject of constant research. However, an exponential growth after radiotherapy must be interpreted with caution, even in the presence of results suspicious of tumor progression by advanced techniques, because it may be due to inflammatory changes. The aim of this paper is to familiarize the reader with inflammatory phenomena of brain metastases treated with radiotherapy and to describe two related radiological signs: "the inflammatory cloud" and "incomplete ring enhancement", in order to adopt a conservative management with close follow-up.
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Affiliation(s)
- A Ortiz de Mendivil
- Servicio de Radiodiagnóstico, Sección de Neurorradiología, Hospital Universitario HM Sanchinarro, Madrid, Spain.
| | - P Martín-Medina
- Servicio de Radiodiagnóstico, Sección de Neurorradiología, Hospital Universitario HM Sanchinarro, Madrid, Spain
| | | | - B Jiménez-Munarriz
- Servicio de Oncología Médica, Hospital Universitario HM Sanchinarro, Madrid, Spain
| | - R Ciérvide
- Servicio de Oncología Radioterápica, Hospital Universitario HM Sanchinarro, Madrid, Spain
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Alanazi AI, Alanezi T, Aljofan ZF, Alarabi A, Elwatidy S. Lhermitte-Duclos disease: A systematic review. Surg Neurol Int 2023; 14:351. [PMID: 37810307 PMCID: PMC10559389 DOI: 10.25259/sni_555_2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Accepted: 09/02/2023] [Indexed: 10/10/2023] Open
Abstract
Background Lhermitte-Duclos disease (LDD) is a rare tumor, with only about 300 reported cases. It often shows comorbidity with Cowden syndrome (CS); however, it can occur by itself. Radiologically, the "tiger-stripe" appearance is considered pathognomonic. Surgical resection remains the mainstay of treatment. This report aims to describe the clinical and radiological characteristics of LDD and its relationship with CS according to age group. Methods PubMed electronic databases were searched in August 2022. The search terms included "Lhermitte- Duclos disease" and "dysplastic gangliocytoma," which yielded 297 and 103 research articles, respectively. The articles were collected and reviewed by three researchers. Results Out of 400 identified articles, we analyzed 302 reported cases. The mean age at presentation was 33.6 ± 16 years; 171 patients (56.6%) were female, and 123 (40.7%) were male. The most commonly reported symptom was headache (174 patients, 57.6%), followed by ataxia (109, 36.1%). In addition, 99 cases (32.8%) were associated with CS, and 60 (19.9%) had a confirmed phosphatase and tensin homolog (PTEN) mutation. A tiger-stripe appearance was observed in 208 cases (58.7%); surgical resection was performed in 64.2% of the cases. Mortality and recurrence rates were 4.3% and 8.6%, respectively. No statistically significant difference was found between adult- and pediatric-onset LDD for the association with CS (P = 0.128). Conclusion Our findings suggest that adult and pediatric LDD have major commonalities; however, further prospective studies are warranted.
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Affiliation(s)
- Aued Iaed Alanazi
- Department of Surgery, College of Medicine, King Saud University, Riyadh, Saudi Arabia
| | - Tariq Alanezi
- Department of Surgery, College of Medicine, King Saud University, Riyadh, Saudi Arabia
| | - Ziyad Fahad Aljofan
- Department of Surgery, College of Medicine, King Saud University, Riyadh, Saudi Arabia
| | - Alwaleed Alarabi
- Department of Surgery, College of Medicine, King Saud University, Riyadh, Saudi Arabia
| | - Sherif Elwatidy
- Department of Neurosurgery, King Saud University, Riyadh, Saudi Arabia
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Quantitative Relaxometry Metrics for Brain Metastases Compared to Normal Tissues: A Pilot MR Fingerprinting Study. Cancers (Basel) 2022; 14:cancers14225606. [PMID: 36428699 PMCID: PMC9688653 DOI: 10.3390/cancers14225606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 11/03/2022] [Accepted: 11/09/2022] [Indexed: 11/17/2022] Open
Abstract
The purpose of the present pilot study was to estimate T1 and T2 metric values derived simultaneously from a new, rapid Magnetic Resonance Fingerprinting (MRF) technique, as well as to assess their ability to characterize-brain metastases (BM) and normal-appearing brain tissues. Fourteen patients with BM underwent MRI, including prototype MRF, on a 3T scanner. In total, 108 measurements were analyzed: 42 from solid parts of BM's (21 each on T1 and T2 maps) and 66 from normal-appearing brain tissue (11 ROIs each on T1 and T2 maps for gray matter [GM], white matter [WM], and cerebrospinal fluid [CSF]). The BM's mean T1 and T2 values differed significantly from normal-appearing WM (p < 0.05). The mean T1 values from normal-appearing GM, WM, and CSF regions were 1205 ms, 840 ms, and 4233 ms, respectively. The mean T2 values were 108 ms, 78 ms, and 442 ms, respectively. The mean T1 and T2 values for untreated BM (n = 4) were 2035 ms and 168 ms, respectively. For treated BM (n = 17) the T1 and T2 values were 2163 ms and 141 ms, respectively. MRF technique appears to be a promising and rapid quantitative method for the characterization of free water content and tumor morphology in BMs.
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Wyss J, Frank NA, Soleman J, Scheinemann K. Novel Pharmacological Treatment Options in Pediatric Glioblastoma-A Systematic Review. Cancers (Basel) 2022; 14:2814. [PMID: 35681794 PMCID: PMC9179254 DOI: 10.3390/cancers14112814] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 05/30/2022] [Accepted: 05/31/2022] [Indexed: 01/27/2023] Open
Abstract
BACKGROUND Pediatric glioblastoma (GBM) is an aggressive central nervous system tumor in children that has dismal prognosis. Standard of care is surgery with subsequent irradiation and temozolomide. We aimed to outline currently available data on novel pharmacological treatments for pediatric GBM. METHODS We conducted a systematic literature search in PubMed and Embase, including reports published in English from 2010 to 2021. We included randomized trials, cohort studies and case series. Phase I trials were not analyzed. We followed PRISMA guidelines, assessed the quality of the eligible reports using the Newcastle-Ottawa scale (NOS) and the RoB-2 tool and registered the protocol on PROSPERO. RESULTS We included 6 out of 1122 screened reports. All six selected reports were prospective, multicenter phase II trials (five single-arm and one randomized controlled trial). None of the investigated novel treatment modalities showed any benefit regarding overall or progression free survival. CONCLUSIONS To date, the role of pharmacological approaches regarding pediatric GBM remains unclear, since no novel treatment approach could provide a significant impact on overall or progression free survival. Further research should aim to combine different treatment strategies in large international multicenter trials with central comprehensive diagnostics regarding subgrouping. These novel treatment approaches should include targeted and immunotherapeutic treatments, potentially leading to a more successful outcome.
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Affiliation(s)
- Johanna Wyss
- Division of Oncology-Hematology, Department of Pediatrics, Kantonsspital Aarau, 5001 Aarau, Switzerland;
- Division of Pediatric Oncology-Hematology, University Children’s Hospital of Basel, 4056 Basel, Switzerland
| | - Nicole Alexandra Frank
- Department of Neurosurgery, University Hospital of Basel, 4031 Basel, Switzerland; (N.A.F.); (J.S.)
| | - Jehuda Soleman
- Department of Neurosurgery, University Hospital of Basel, 4031 Basel, Switzerland; (N.A.F.); (J.S.)
- Department of Pediatric Neurosurgery, University Children’s Hospital of Basel, 4056 Basel, Switzerland
- Faculty of Medicine, University of Basel, 4056 Basel, Switzerland
| | - Katrin Scheinemann
- Division of Oncology-Hematology, Department of Pediatrics, Kantonsspital Aarau, 5001 Aarau, Switzerland;
- Department of Health Sciences and Medicine, University of Lucerne, 6002 Lucerne, Switzerland
- Department of Pediatrics, McMaster University Hamilton, Hamilton, ON L8S 4K1, Canada
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Wong KL, Cheng KH, Lam SK, Liu C, Cai J. Review of functional magnetic resonance imaging in the assessment of nasopharyngeal carcinoma treatment response. PRECISION RADIATION ONCOLOGY 2022. [DOI: 10.1002/pro6.1161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Affiliation(s)
- Kwun Lam Wong
- Department of Health Technology and Informatics The Hong Kong Polytechnic University Hong Kong SAR People's Republic of China
- Department of Radiotherapy Hong Kong Sanatorium & Hospital HKSH Medical Group Hong Kong SAR People's Republic of China
| | - Ka Hei Cheng
- Department of Health Technology and Informatics The Hong Kong Polytechnic University Hong Kong SAR People's Republic of China
| | - Sai Kit Lam
- Department of Health Technology and Informatics The Hong Kong Polytechnic University Hong Kong SAR People's Republic of China
| | - Chenyang Liu
- Department of Health Technology and Informatics The Hong Kong Polytechnic University Hong Kong SAR People's Republic of China
| | - Jing Cai
- Department of Health Technology and Informatics The Hong Kong Polytechnic University Hong Kong SAR People's Republic of China
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Polvoy I, Qin H, Flavell RR, Gordon J, Viswanath P, Sriram R, Ohliger MA, Wilson DM. Deuterium Metabolic Imaging-Rediscovery of a Spectroscopic Tool. Metabolites 2021; 11:570. [PMID: 34564385 PMCID: PMC8470013 DOI: 10.3390/metabo11090570] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Accepted: 08/18/2021] [Indexed: 01/31/2023] Open
Abstract
The growing demand for metabolism-specific imaging techniques has rekindled interest in Deuterium (2H) Metabolic Imaging (DMI), a robust method based on administration of a substrate (glucose, acetate, fumarate, etc.) labeled with the stable isotope of hydrogen and the observation of its metabolic fate in three-dimensions. This technique allows the investigation of multiple metabolic processes in both healthy and diseased states. Despite its low natural abundance, the short relaxation time of deuterium allows for rapid radiofrequency (RF) pulses without saturation and efficient image acquisition. In this review, we provide a comprehensive picture of the evolution of DMI over the course of recent decades, with a special focus on its potential clinical applications.
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Affiliation(s)
- Ilona Polvoy
- Department of Radiology and Biomedical Imaging, University of California, 185 Berry St., San Francisco, CA 94158, USA; (I.P.); (H.Q.); (R.R.F.); (J.G.); (P.V.); (R.S.); (M.A.O.)
| | - Hecong Qin
- Department of Radiology and Biomedical Imaging, University of California, 185 Berry St., San Francisco, CA 94158, USA; (I.P.); (H.Q.); (R.R.F.); (J.G.); (P.V.); (R.S.); (M.A.O.)
| | - Robert R. Flavell
- Department of Radiology and Biomedical Imaging, University of California, 185 Berry St., San Francisco, CA 94158, USA; (I.P.); (H.Q.); (R.R.F.); (J.G.); (P.V.); (R.S.); (M.A.O.)
| | - Jeremy Gordon
- Department of Radiology and Biomedical Imaging, University of California, 185 Berry St., San Francisco, CA 94158, USA; (I.P.); (H.Q.); (R.R.F.); (J.G.); (P.V.); (R.S.); (M.A.O.)
| | - Pavithra Viswanath
- Department of Radiology and Biomedical Imaging, University of California, 185 Berry St., San Francisco, CA 94158, USA; (I.P.); (H.Q.); (R.R.F.); (J.G.); (P.V.); (R.S.); (M.A.O.)
| | - Renuka Sriram
- Department of Radiology and Biomedical Imaging, University of California, 185 Berry St., San Francisco, CA 94158, USA; (I.P.); (H.Q.); (R.R.F.); (J.G.); (P.V.); (R.S.); (M.A.O.)
| | - Michael A. Ohliger
- Department of Radiology and Biomedical Imaging, University of California, 185 Berry St., San Francisco, CA 94158, USA; (I.P.); (H.Q.); (R.R.F.); (J.G.); (P.V.); (R.S.); (M.A.O.)
- Department of Radiology, Zuckerberg San Francisco General Hospital, San Francisco, CA 94110, USA
| | - David M. Wilson
- Department of Radiology and Biomedical Imaging, University of California, 185 Berry St., San Francisco, CA 94158, USA; (I.P.); (H.Q.); (R.R.F.); (J.G.); (P.V.); (R.S.); (M.A.O.)
- Department of Radiology and Biomedical Imaging, University of California, 505 Parnassus Ave, San Francisco, CA 94143, USA
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Puranik AD, Rangarajan V, Dev ID, Jain Y, Purandare NC, Sahu A, Choudhary A, Gupta T, Chatterjee A, Moiyadi A, Shetty P, Sridhar E, Sahay A, Patil VM, Shah S, Agrawal A. Brain FET PET tumor-to-white mater ratio to differentiate recurrence from post-treatment changes in high-grade gliomas. J Neuroimaging 2021; 31:1211-1218. [PMID: 34388273 DOI: 10.1111/jon.12914] [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: 04/16/2021] [Revised: 07/17/2021] [Accepted: 07/17/2021] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND AND PURPOSE Highergrade glial neoplasms undergo standard treatment with surgery, radiotherapy, and alkylating agents. There is often a clinical/neuroimaging dilemma in the post-treatment setting to differentiate disease recurrence from treatment-related changes. FET (fluoro-ethyl-tyrosine) PET has emerged as a molecular imaging modality for cases where MR imaging is inconclusive. This study aims to develop a cutoff on FET PET for differentiating true recurrence from post-treatment changes. METHODS We retrospectively analyzed72 patientswith post-treatment grade 3 or 4 brain gliomas. Five to six mCi of 18 F-FET was injected and static imaging of the brain was performed at 20 min. A tumor-to-white matter (T/Wm) ratio was used as semiquantitative parameter. A T/Wm cutoff of 2.5 was used for image interpretation. Imaging findings were confirmed by either histopathologic diagnosis in a multidisciplinary joint clinic or based on follow-up of clinical and neuroimaging findings. RESULTS Forty-one of 72 patients (57%) showed recurrent disease on FET PET. Thirty-five of them were confirmed to have tumor recurrence; six patients showed post-treatment changes. Thirty-one of 72 patients (43%) showed post-treatment changes on FET PET; 27 were confirmed as post-treatment change and four patients had tumor recurrence on subsequent MR imaging. An optimum T/Wm cutoff of 2.65 was derived based on receiver operating characteristic analysis with a sensitivity of 80% and specificity of 87.5%. CONCLUSION Static FET PET can be used as problem-solving imaging modality with a T/Wm cutoff of 2.65 to differentiate late recurrence from post-treatment changes in grade 3 or 4 brain gliomas with equivocal MR features.
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Affiliation(s)
- Ameya D Puranik
- Department of Nuclear Medicine and Molecular Imaging, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, India
| | - Venkatesh Rangarajan
- Department of Nuclear Medicine and Molecular Imaging, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, India
| | - Indraja D Dev
- Department of Nuclear Medicine and Molecular Imaging, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, India
| | - Yash Jain
- Department of Nuclear Medicine and Molecular Imaging, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, India
| | - Nilendu C Purandare
- Department of Nuclear Medicine and Molecular Imaging, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, India
| | - Arpita Sahu
- Department of Radiodiagnosis, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, India
| | - Amitkumar Choudhary
- Department of Radiodiagnosis, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, India
| | - Tejpal Gupta
- Department of Radiation Oncology, ACTREC, Tata Memorial Centre, Homi Bhabha National Institute, Navi Mumbai, India
| | - Abhishek Chatterjee
- Department of Radiation Oncology, ACTREC, Tata Memorial Centre, Homi Bhabha National Institute, Navi Mumbai, India
| | - Aliasgar Moiyadi
- Department of Neuro-surgery, ACTREC, Tata Memorial Centre, Homi Bhabha National Institute, Navi Mumbai, India
| | - Prakash Shetty
- Department of Neuro-surgery, ACTREC, Tata Memorial Centre, Homi Bhabha National Institute, Navi Mumbai, India
| | - Epari Sridhar
- Department of Pathology, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, India
| | - Ayushi Sahay
- Department of Pathology, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, India
| | - Vijay M Patil
- Department of Medical Oncology, Tata Memorial Centre, Homi Bhabha National Institute, Mumbai, India
| | - Sneha Shah
- Department of Nuclear Medicine and Molecular Imaging, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, India
| | - Archi Agrawal
- Department of Nuclear Medicine and Molecular Imaging, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, India
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Trinh A, Wintermark M, Iv M. Clinical Review of Computed Tomography and MR Perfusion Imaging in Neuro-Oncology. Radiol Clin North Am 2021; 59:323-334. [PMID: 33926680 DOI: 10.1016/j.rcl.2021.01.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
Neuroimaging plays an essential role in the initial diagnosis and continued surveillance of intracranial neoplasms. The advent of perfusion techniques with computed tomography and MR imaging have proven useful in neuro-oncology, offering enhanced approaches for tumor grading, guiding stereotactic biopsies, and monitoring treatment efficacy. Perfusion imaging can help to identify treatment-related processes, such as radiation necrosis, pseudoprogression, and pseudoregression, and can help to inform treatment-related decision making. Perfusion imaging is useful to differentiate between tumor types and between tumor and nonneoplastic conditions. This article reviews the clinical relevance and implications of perfusion imaging in neuro-oncology and highlights promising perfusion biomarkers.
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Affiliation(s)
- Austin Trinh
- Division of Neuroimaging and Neurointervention, Department of Radiology, Stanford University, 300 Pasteur Drive, Grant Building, Room S031, Stanford, CA 94305-5105, USA
| | - Max Wintermark
- Division of Neuroimaging and Neurointervention, Department of Radiology, Stanford University, 300 Pasteur Drive, Grant Building, Room S047, Stanford, CA 94305-5105, USA. https://twitter.com/mwNRAD
| | - Michael Iv
- Division of Neuroimaging and Neurointervention, Department of Radiology, Stanford University, 300 Pasteur Drive, Grant Building, Room S031E, Stanford, CA 94305-5105, USA.
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10
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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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Shah AD, Shridhar Konar A, Paudyal R, Oh JH, LoCastro E, Nuñez DA, Swinburne N, Vachha B, Ulaner GA, Young RJ, Holodny AI, Beal K, Shukla-Dave A, Hatzoglou V. Diffusion and Perfusion MRI Predicts Response Preceding and Shortly After Radiosurgery to Brain Metastases: A Pilot Study. J Neuroimaging 2020; 31:317-323. [PMID: 33370467 DOI: 10.1111/jon.12828] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 11/20/2020] [Accepted: 12/06/2020] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND AND PURPOSE To determine the ability of diffusion-weighted imaging (DWI) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) to predict long-term response of brain metastases prior to and within 72 hours of stereotactic radiosurgery (SRS). METHODS In this prospective pilot study, multiple b-value DWI and T1-weighted DCE-MRI were performed in patients with brain metastases before and within 72 hours following SRS. Diffusion-weighted images were analyzed using the monoexponential and intravoxel incoherent motion (IVIM) models. DCE-MRI data were analyzed using the extended Tofts pharmacokinetic model. The parameters obtained with these methods were correlated with brain metastasis outcomes according to modified Response Assessment in Neuro-Oncology Brain Metastases criteria. RESULTS We included 25 lesions from 16 patients; 16 patients underwent pre-SRS MRI and 12 of 16 patients underwent both pre- and early (within 72 hours) post-SRS MRI. The perfusion fraction (f) derived from IVIM early post-SRS was higher in lesions demonstrating progressive disease than in lesions demonstrating stable disease, partial response, or complete response (q = .041). Pre-SRS extracellular extravascular volume fraction, ve , and volume transfer coefficient, Ktrans , derived from DCE-MRI were higher in nonresponders versus responders (q = .041). CONCLUSIONS Quantitative DWI and DCE-MRI are feasible imaging methods in the pre- and early (within 72 hours) post-SRS evaluation of brain metastases. DWI- and DCE-MRI-derived parameters demonstrated physiologic changes (tumor cellularity and vascularity) and offer potentially useful biomarkers that can predict treatment response. This allows for initiation of alternate therapies within an effective time window that may help prevent disease progression.
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Affiliation(s)
- Akash Deelip Shah
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY
| | | | - Ramesh Paudyal
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Jung Hun Oh
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Eve LoCastro
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - David Aramburu Nuñez
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Nathaniel Swinburne
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Behroze Vachha
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Gary A Ulaner
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Robert J Young
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Andrei I Holodny
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Kathryn Beal
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Amita Shukla-Dave
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY.,Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Vaios Hatzoglou
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY
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Wen PY, Weller M, Lee EQ, Alexander BM, Barnholtz-Sloan JS, Barthel FP, Batchelor TT, Bindra RS, Chang SM, Chiocca EA, Cloughesy TF, DeGroot JF, Galanis E, Gilbert MR, Hegi ME, Horbinski C, Huang RY, Lassman AB, Le Rhun E, Lim M, Mehta MP, Mellinghoff IK, Minniti G, Nathanson D, Platten M, Preusser M, Roth P, Sanson M, Schiff D, Short SC, Taphoorn MJB, Tonn JC, Tsang J, Verhaak RGW, von Deimling A, Wick W, Zadeh G, Reardon DA, Aldape KD, van den Bent MJ. Glioblastoma in adults: a Society for Neuro-Oncology (SNO) and European Society of Neuro-Oncology (EANO) consensus review on current management and future directions. Neuro Oncol 2020; 22:1073-1113. [PMID: 32328653 PMCID: PMC7594557 DOI: 10.1093/neuonc/noaa106] [Citation(s) in RCA: 585] [Impact Index Per Article: 146.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Glioblastomas are the most common form of malignant primary brain tumor and an important cause of morbidity and mortality. In recent years there have been important advances in understanding the molecular pathogenesis and biology of these tumors, but this has not translated into significantly improved outcomes for patients. In this consensus review from the Society for Neuro-Oncology (SNO) and the European Association of Neuro-Oncology (EANO), the current management of isocitrate dehydrogenase wildtype (IDHwt) glioblastomas will be discussed. In addition, novel therapies such as targeted molecular therapies, agents targeting DNA damage response and metabolism, immunotherapies, and viral therapies will be reviewed, as well as the current challenges and future directions for research.
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Affiliation(s)
- Patrick Y Wen
- Dana-Farber Cancer Institute, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Michael Weller
- Department of Neurology and Brain Tumor Center, University Hospital and University of Zurich, Zurich, Switzerland
| | - Eudocia Quant Lee
- Dana-Farber Cancer Institute, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Brian M Alexander
- Dana-Farber Cancer Institute, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Jill S Barnholtz-Sloan
- Case Western Reserve University School of Medicine and University Hospitals of Cleveland, Cleveland, Ohio, USA
| | - Floris P Barthel
- The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut, USA
| | - Tracy T Batchelor
- Department of Neurology, Brigham and Women’s Hospital, Dana-Farber Cancer Institute and Harvard Medical School
| | - Ranjit S Bindra
- Department of Therapeutic Radiology, Yale School of Medicine, New Haven, Connecticut, USA
| | - Susan M Chang
- University of California San Francisco, San Francisco, California, USA
| | - E Antonio Chiocca
- Department of Neurosurgery, Brigham and Women’s Hospital, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts, USA
| | - Timothy F Cloughesy
- David Geffen School of Medicine, Department of Neurology, University of California Los Angeles, Los Angeles, California, USA
| | - John F DeGroot
- Department of Neuro-Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | | | - Mark R Gilbert
- Neuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Monika E Hegi
- Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Craig Horbinski
- Department of Pathology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Raymond Y Huang
- Division of Neuroradiology, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Andrew B Lassman
- Department of Neurology and Herbert Irving Comprehensive Cancer Center, NewYork-Presbyterian Hospital/Columbia University Irving Medical Center, New York, New York, USA
| | - Emilie Le Rhun
- University of Lille, Inserm, Neuro-oncology, General and Stereotaxic Neurosurgery service, University Hospital of Lille, Lille, France; Breast Cancer Department, Oscar Lambret Center, Lille, France and Department of Neurology & Brain Tumor Center, University Hospital and University of Zurich, Zurich, Switzerland
| | - Michael Lim
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | | | - Ingo K Mellinghoff
- Department of Neurology and Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Giuseppe Minniti
- Radiation Oncology Unit, Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - David Nathanson
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine at UCLA, University of California Los Angeles, Los Angeles, California, USA
| | - Michael Platten
- Department of Neurology, Medical Faculty Mannheim, MCTN, Heidelberg University, Heidelberg, Germany
| | - Matthias Preusser
- Division of Oncology, Department of Medicine, Medical University of Vienna, Vienna, Austria
| | - Patrick Roth
- Department of Neurology and Brain Tumor Center, University Hospital and University of Zurich, Zurich, Switzerland
| | - Marc Sanson
- Sorbonne Université, Inserm, CNRS, UMR S 1127, Institut du Cerveau et de la Moelle épinière, ICM, AP-HP, Hôpitaux Universitaires La Pitié Salpêtrière – Charles Foix, Service de Neurologie 2-Mazarin, Paris, France
| | - David Schiff
- University of Virginia School of Medicine, Division of Neuro-Oncology, Department of Neurology, University of Virginia, Charlottesville, Virginia, USA
| | - Susan C Short
- Leeds Institute of Medical Research at St James’s, University of Leeds, Leeds, UK
| | - Martin J B Taphoorn
- Department of Neurology, Medical Center Haaglanden, The Hague and Department of Neurology, Leiden University Medical Center, the Netherlands
| | | | - Jonathan Tsang
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine at UCLA, University of California Los Angeles, Los Angeles, California, USA
| | - Roel G W Verhaak
- The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut, USA
| | - Andreas von Deimling
- Neuropathology and Clinical Cooperation Unit Neuropathology, University Heidelberg and German Cancer Center, Heidelberg, Germany
| | - Wolfgang Wick
- Department of Neurology and Neuro-oncology Program, National Center for Tumor Diseases, Heidelberg University Hospital, Heidelberg, Germany
| | - Gelareh Zadeh
- MacFeeters Hamilton Centre for Neuro-Oncology Research, Princess Margaret Cancer Centre, Toronto, Canada
| | - David A Reardon
- Dana-Farber Cancer Institute, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Kenneth D Aldape
- Laboratory of Pathology, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland, USA
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Kuai XP, Wang SY, Lu YP, Xiong J, Geng DY, Yin B. MRI Features of Intracranial Anaplastic Ependymomas: A Comparison of Supratentorial and Infratentorial Lesions. Front Oncol 2020; 10:1063. [PMID: 32793470 PMCID: PMC7385376 DOI: 10.3389/fonc.2020.01063] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Accepted: 05/28/2020] [Indexed: 12/03/2022] Open
Abstract
Background: Several previous reports of anaplastic ependymomas have described their imaging features, and most of these studies were case reports. However, no studies have compared the magnetic resonance imaging (MRI) features between the infratentorial and supratentorial anaplastic ependymomas. Objective: The goal of this study was to explore MRI characteristics for intracranial anaplastic ependymomas. Material and Methods: We retrospectively reviewed the demographics of 165 patients and MRI findings of 60 patients with supratentorial (SAEs) and infratentorial anaplastic ependymomas (IAEs) before surgery. The demographics and MRI features for SAEs and IAEs were compared and evaluated. Results: Among the 60 patients, most SAEs (91.7%) were extraventricular, whereas most IAEs (91.7%) were intraventricular. Of sixty intracranial anaplastic ependymomas, most lesions were well-defined (n = 45) and round-like (n = 36). On T1-weighted imaging, compared with the gray matter, the SAEs exhibited heterogeneous signal intensity, whereas IAEs exhibited iso-hypointense signals. T2 signals exhibited greater associations with hyperintense signals in IAEs; however, SAEs showed hyperintense or hypointense–hyperintense. On diffusion-weighted imaging (DWI), almost all solid tissues of SAEs appeared as hyperintense, whereas IAEs exhibited iso-hypointense signals. Peritumoral edema and intratumoral hemorrhage occurred more frequently in SAEs. Almost all anaplastic ependymomas exhibited heterogeneous enhancement. Cysts or necrosis was associated with 56 anaplastic ependymomas; however, large cysts were more prevalent in SAEs. On magnetic resonance spectroscopy (MRS), the mean choline/creatine (Cho/Cr) and choline/N-acetyl-aspartate (Cho/NAA) ratio of anaplastic ependymomas were (6.58 ± 4.26) and (8.84 ± 6.34), respectively, representing typical high-grade tumors. Conclusion: We demonstrate the conventional and functional MRI features of intracranial anaplastic ependymomas, including DWI and MRS. MRI characteristics, such as location, cyst, diffusion restriction, and peritumoral edema, differed between supratentorial and infratentorial locations. Cho/Cr and Cho/ NAA ratios of anaplastic ependymomas are increased.
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Affiliation(s)
- Xin-Ping Kuai
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Sheng-Yu Wang
- Department of Radiology, Ruijin Hospital North, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yi-Ping Lu
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Ji Xiong
- Department of Pathology, Huashan Hospital, Fudan University, Shanghai, China
| | - Dao-Ying Geng
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
| | - Bo Yin
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China
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