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Lan J, Ren Y, Liu Y, Chen L, Liu J. A bibliometric analysis of radiation-induced brain injury: a research of the literature from 1998 to 2023. Discov Oncol 2024; 15:364. [PMID: 39172266 PMCID: PMC11341524 DOI: 10.1007/s12672-024-01223-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Accepted: 08/06/2024] [Indexed: 08/23/2024] Open
Abstract
BACKGROUND Radiation-induced brain injury (RIBI) is a debilitating sequela after cranial radiotherapy. Research on the topic of RIBI has gradually entered the public eye, with more innovations and applications of evidence-based research and biological mechanism research in the field of that. This was the first bibliometric analysis on RIBI, assessing brain injury related to radiation articles that were published during 1998-2023, to provide an emerging theoretical basis for the future development of RIBI. METHODS Literature were obtained from the Web of Science Core Collection (WOSCC) from its inception to December 31, 2023. The column of publications, author details, affiliated institutions and countries, publication year, and keywords were also recorded. RESULTS A total of 2543 journal articles were selected. The annual publications on RIBI fluctuated within a certain range. Journal of Neuro-oncology was the most published journal and Radiation Oncology was the most impactful one. LIMOLI CL was the most prolific author with 37 articles and shared the highest h-index with BARNETT GH. The top one country and institutions were the USA and the University of California System, respectively. Clusters analysis of co-keywords demonstrated that the temporal research trends in this field primarily focused on imaging examination and therapy for RIBI. CONCLUSION This study collects, visualizes, and analyzes the literature within the field of RIBI over the last 25 years to map the development process, research frontiers and hotspots, and cutting-edge directions in clinical practice and mechanisms related to RIBI.
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Affiliation(s)
- Jinxin Lan
- Department of Neurosurgery, The First Medical Center, The Chinese PLA General Hospital, Beijing, 100853, China
- School of Medicine, Nankai University, Tianjin, 300071, China
| | - Yifan Ren
- School of Medicine, Nankai University, Tianjin, 300071, China
| | - Yuyang Liu
- Department of Neurosurgery, The 920th Hospital of Joint Logistics Support Force, Kunming, 650032, Yunnan, China
| | - Ling Chen
- Department of Neurosurgery, The First Medical Center, The Chinese PLA General Hospital, Beijing, 100853, China.
- Chinese PLA General Hospital, Chinese PLA Institute of Neurosurgery, 28 Fuxing Road, Haidian District, Beijing, 100853, China.
| | - Jialin Liu
- Department of Neurosurgery, The First Medical Center, The Chinese PLA General Hospital, Beijing, 100853, China.
- Chinese PLA General Hospital, Chinese PLA Institute of Neurosurgery, 28 Fuxing Road, Haidian District, Beijing, 100853, China.
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Aggarwal A, Aggarwal AK, Prakash S, Vile DJ, Aggarwal A. Narrow interval dual phase 18F-FDG PET/CT: A practical approach for distinguishing tumor recurrence from radiation necrosis in brain metastasis. Medicine (Baltimore) 2024; 103:e37789. [PMID: 38701250 PMCID: PMC11062716 DOI: 10.1097/md.0000000000037789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Accepted: 03/14/2024] [Indexed: 05/05/2024] Open
Abstract
Purpose of our research is to demonstrate efficacy of narrow interval dual phase [18F]-fluorodeoxyglucose positron emission tomography/computed tomography (FDG-PET/CT) imaging in distinguishing tumor recurrence (TR) from radiation necrosis (RN) in patients treated for brain metastases. 35 consecutive patients (22 female, 13 male) with various cancer subtypes, lesion size > 1.0 cm3, and suspected recurrence on brain magnetic resonance imaging (MRI) underwent narrow interval dual phase FDG-PET/CT (30 and 90 min after tracer injection). Clinical outcome was determined via sequential MRIs or pathology reports. Maximum standard uptake value (SUVmax) of lesion (L), gray matter (GM), and white matter (WM) was measured on early (1) and delayed (2) imaging. Analyzed variables include % change, late phase, and early phase for L uptake, L/GM uptake, and L/WM uptake. Statistical analysis (P < .01), receiver operator characteristic (ROC) curve and area under curve (AUC) cutoff values were obtained. Change in L/GM ratio of > -2% was 95% sensitive, 91% specific, and 93% accurate (P < .001, AUC = 0.99) in distinguishing TR from RN. Change in SUVmax of lesion alone was the second-best indicator (P < .001, AUC = 0.94) with an ROC cutoff > 30.5% yielding 86% sensitivity, 83% specificity, and 84% accuracy. Other variables (L alone or L/GM ratios in early or late phase, all L/WM ratios) were significantly less accurate. Utilizing narrow interval dual phase FDG-PET/CT in patients with brain metastasis treated with radiation therapy provides a practical approach to distinguish TR from RN. Narrow time interval allows for better patient comfort, greater efficiency of PET/CT scanner, and lower disruption of workflow.
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Affiliation(s)
- Aashri Aggarwal
- Department of Computer Science, Cornell University, Ithaca, NY
- Research Intern at Johnston Willis Hospital, Department of Radiology, Richmond, VA
| | - Ashwin K. Aggarwal
- Research Intern at Johnston Willis Hospital, Department of Radiology, Richmond, VA
- High school senior at Collegiate School, Richmond, VA
| | - Siddhant Prakash
- Research Intern at Johnston Willis Hospital, Department of Radiology, Richmond, VA
- Undergraduate student at Wake Forest University, NC
| | - Douglas J. Vile
- Department of Gamma Knife and Neuroscience Center, Johnston Willis Hospital, Richmond, VA
- Hospital Corporation of America, Richmond, VA
| | - Atul Aggarwal
- Johnston Willis Hospital, Department of Radiology, Richmond, VA
- Radiology Associates of Richmond, Richmond, VA
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Mayo ZS, Billena C, Suh JH, Lo SS, Chao ST. The dilemma of radiation necrosis from diagnosis to treatment in the management of brain metastases. Neuro Oncol 2024; 26:S56-S65. [PMID: 38437665 PMCID: PMC10911797 DOI: 10.1093/neuonc/noad188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/06/2024] Open
Abstract
Radiation therapy with stereotactic radiosurgery (SRS) or whole brain radiation therapy is a mainstay of treatment for patients with brain metastases. The use of SRS in the management of brain metastases is becoming increasingly common and provides excellent local control. Cerebral radiation necrosis (RN) is a late complication of radiation treatment that can be seen months to years following treatment and is often indistinguishable from tumor progression on conventional imaging. In this review article, we explore risk factors associated with the development of radiation necrosis, advanced imaging modalities used to aid in diagnosis, and potential treatment strategies to manage side effects.
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Affiliation(s)
- Zachary S Mayo
- Department of Radiation Oncology, Cleveland Clinic, Cleveland, Ohio, USA
| | - Cole Billena
- Department of Radiation Oncology, Cleveland Clinic, Cleveland, Ohio, USA
| | - John H Suh
- Department of Radiation Oncology, Cleveland Clinic, Cleveland, Ohio, USA
| | - Simon S Lo
- Department of Radiation Oncology, University of Washington, Seattle, Washington, USA
| | - Samuel T Chao
- Department of Radiation Oncology, Cleveland Clinic, Cleveland, Ohio, USA
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4
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Ouyang J, Chen KT, Duarte Armindo R, Davidzon GA, Hawk E, Moradi F, Rosenberg J, Lan E, Zhang H, Zaharchuk G. Predicting FDG-PET Images From Multi-Contrast MRI Using Deep Learning in Patients With Brain Neoplasms. J Magn Reson Imaging 2024; 59:1010-1020. [PMID: 37259967 PMCID: PMC10689577 DOI: 10.1002/jmri.28837] [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: 03/07/2023] [Revised: 05/17/2023] [Accepted: 05/18/2023] [Indexed: 06/02/2023] Open
Abstract
BACKGROUND 18 F-fluorodeoxyglucose (FDG) positron emission tomography (PET) is valuable for determining presence of viable tumor, but is limited by geographical restrictions, radiation exposure, and high cost. PURPOSE To generate diagnostic-quality PET equivalent imaging for patients with brain neoplasms by deep learning with multi-contrast MRI. STUDY TYPE Retrospective. SUBJECTS Patients (59 studies from 51 subjects; age 56 ± 13 years; 29 males) who underwent 18 F-FDG PET and MRI for determining recurrent brain tumor. FIELD STRENGTH/SEQUENCE 3T; 3D GRE T1, 3D GRE T1c, 3D FSE T2-FLAIR, and 3D FSE ASL, 18 F-FDG PET imaging. ASSESSMENT Convolutional neural networks were trained using four MRIs as inputs and acquired FDG PET images as output. The agreement between the acquired and synthesized PET was evaluated by quality metrics and Bland-Altman plots for standardized uptake value ratio. Three physicians scored image quality on a 5-point scale, with score ≥3 as high-quality. They assessed the lesions on a 5-point scale, which was binarized to analyze diagnostic consistency of the synthesized PET compared to the acquired PET. STATISTICAL TESTS The agreement in ratings between the acquired and synthesized PET were tested with Gwet's AC and exact Bowker test of symmetry. Agreement of the readers was assessed by Gwet's AC. P = 0.05 was used as the cutoff for statistical significance. RESULTS The synthesized PET visually resembled the acquired PET and showed significant improvement in quality metrics (+21.7% on PSNR, +22.2% on SSIM, -31.8% on RSME) compared with ASL. A total of 49.7% of the synthesized PET were considered as high-quality compared to 73.4% of the acquired PET which was statistically significant, but with distinct variability between readers. For the positive/negative lesion assessment, the synthesized PET had an accuracy of 87% but had a tendency to overcall. CONCLUSION The proposed deep learning model has the potential of synthesizing diagnostic quality FDG PET images without the use of radiotracers. EVIDENCE LEVEL 3 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Jiahong Ouyang
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - Kevin T. Chen
- Department of Biomedical Engineering, National Taiwan University, Taipei, Taiwan
| | - Rui Duarte Armindo
- Department of Radiology, Stanford University, Stanford, CA, USA
- Department of Neuroradiology, Hospital Beatriz Ângelo, Loures, Lisbon, Portugal
| | | | - Elizabeth Hawk
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - Farshad Moradi
- Department of Radiology, Stanford University, Stanford, CA, USA
| | | | - Ella Lan
- Harker School, San Jose, CA, USA
| | - Helena Zhang
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - Greg Zaharchuk
- Department of Radiology, Stanford University, Stanford, CA, USA
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5
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Ocaña-Tienda B, León-Triana O, Pérez-Beteta J, Jiménez-Sánchez J, Pérez-García VM. Radiation necrosis after radiation therapy treatment of brain metastases: A computational approach. PLoS Comput Biol 2024; 20:e1011400. [PMID: 38289964 PMCID: PMC10857744 DOI: 10.1371/journal.pcbi.1011400] [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: 07/31/2023] [Revised: 02/09/2024] [Accepted: 01/21/2024] [Indexed: 02/01/2024] Open
Abstract
Metastasis is the process through which cancer cells break away from a primary tumor, travel through the blood or lymph system, and form new tumors in distant tissues. One of the preferred sites for metastatic dissemination is the brain, affecting more than 20% of all cancer patients. This figure is increasing steadily due to improvements in treatments of primary tumors. Stereotactic radiosurgery (SRS) is one of the main treatment options for patients with a small or moderate number of brain metastases (BMs). A frequent adverse event of SRS is radiation necrosis (RN), an inflammatory condition caused by late normal tissue cell death. A major diagnostic problem is that RNs are difficult to distinguish from BM recurrences, due to their similarities on standard magnetic resonance images (MRIs). However, this distinction is key to choosing the best therapeutic approach since RNs resolve often without further interventions, while relapsing BMs may require open brain surgery. Recent research has shown that RNs have a faster growth dynamics than recurrent BMs, providing a way to differentiate the two entities, but no mechanistic explanation has been provided for those observations. In this study, computational frameworks were developed based on mathematical models of increasing complexity, providing mechanistic explanations for the differential growth dynamics of BMs relapse versus RN events and explaining the observed clinical phenomenology. Simulated tumor relapses were found to have growth exponents substantially smaller than the group in which there was inflammation due to damage induced by SRS to normal brain tissue adjacent to the BMs, thus leading to RN. ROC curves with the synthetic data had an optimal threshold that maximized the sensitivity and specificity values for a growth exponent β* = 1.05, very close to that observed in patient datasets.
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Affiliation(s)
- Beatriz Ocaña-Tienda
- Mathematical Oncology Laboratory, Universidad de Castilla-La Mancha, Ciudad Real, Spain
| | | | - Julián Pérez-Beteta
- Mathematical Oncology Laboratory, Universidad de Castilla-La Mancha, Ciudad Real, Spain
| | - Juan Jiménez-Sánchez
- Mathematical Oncology Laboratory, Universidad de Castilla-La Mancha, Ciudad Real, Spain
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Subtirelu RC, Teichner EM, Ashok A, Parikh C, Talasila S, Matache IM, Alnemri AG, Anderson V, Shahid O, Mannam S, Lee A, Werner T, Revheim ME, Alavi A. Advancements in dendritic cell vaccination: enhancing efficacy and optimizing combinatorial strategies for the treatment of glioblastoma. Front Neurol 2023; 14:1271822. [PMID: 38020665 PMCID: PMC10644823 DOI: 10.3389/fneur.2023.1271822] [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: 08/02/2023] [Accepted: 10/11/2023] [Indexed: 12/01/2023] Open
Abstract
Glioblastomas (GBM) are highly invasive, malignant primary brain tumors. The overall prognosis is poor, and management of GBMs remains a formidable challenge, necessitating novel therapeutic strategies such as dendritic cell vaccinations (DCVs). While many early clinical trials demonstrate an induction of an antitumoral immune response, outcomes are mixed and dependent on numerous factors that vary between trials. Optimization of DCVs is essential; the selection of GBM-specific antigens and the utilization of 18F-fludeoxyglucose Positron Emission Tomography (FDG-PET) may add significant value and ultimately improve outcomes for patients undergoing treatment for glioblastoma. This review provides an overview of the mechanism of DCV, assesses previous clinical trials, and discusses future strategies for the integration of DCV into glioblastoma treatment protocols. To conclude, the review discusses challenges associated with the use of DCVs and highlights the potential of integrating DCV with standard therapies.
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Affiliation(s)
- Robert C. Subtirelu
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, United States
| | - Eric M. Teichner
- Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, United States
| | - Arjun Ashok
- Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, United States
| | - Chitra Parikh
- Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, United States
| | - Sahithi Talasila
- Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, United States
| | - Irina-Mihaela Matache
- Department of Physiology, Faculty of Medicine, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
| | - Ahab G. Alnemri
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, United States
| | - Victoria Anderson
- Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, United States
| | - Osmaan Shahid
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, United States
| | - Sricharvi Mannam
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, United States
| | - Andrew Lee
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, United States
| | - Thomas Werner
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, United States
| | - Mona-Elisabeth Revheim
- Division of Technology and Innovation, Oslo University Hospital, Oslo, Norway
- Faculty of Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Abass Alavi
- Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA, United States
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7
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Özdemir İ, Kamson DO, Etyemez S, Blair L, Lin DDM, Barker PB. Downfield Proton MRSI at 3 Tesla: A Pilot Study in Human Brain Tumors. Cancers (Basel) 2023; 15:4311. [PMID: 37686587 PMCID: PMC10486526 DOI: 10.3390/cancers15174311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 08/23/2023] [Accepted: 08/25/2023] [Indexed: 09/10/2023] Open
Abstract
PURPOSE To investigate the use of 3D downfield proton magnetic resonance spectroscopic imaging (DF-MRSI) for evaluation of tumor recurrence in patients with glioblastoma (GBM). METHODS Seven patients (4F, age range 44-65 and mean ± standard deviation 59.3 ± 7.5 years) with previously treated GBM were scanned using a recently developed 3D DF-MRSI sequence at 3T. Short TE 3D DF-MRSI and water reference 3D-MRSI scans were collected with a nominal spatial resolution of 0.7 cm3. DF volume data in eight slices covered 12 cm of brain in the cranio-caudal axis. Data were analyzed using the 'LCModel' program and a basis set containing nine peaks ranging in frequency between 6.83 to 8.49 ppm. The DF8.18 (assigned to amides) and DF7.90 peaks were selected for the creation of metabolic images and statistical analysis. Longitudinal MR images and clinical history were used to classify brain lesions as either recurrent tumor or treatment effect, which may include necrosis. DF-MRSI data were compared between lesion groups (recurrent tumor, treatment effect) and normal-appearing brain. RESULTS Of the seven brain tumor patients, two were classified as having recurrent tumor and the rest were classified as treatment effect. Amide metabolite levels from recurrent tumor regions were significantly (p < 0.05) higher compared to both normal-appearing brain and treatment effect regions. Amide levels in lesion voxels classified as treatment effect were significantly lower than normal brain. CONCLUSIONS 3D DF-MRSI in human brain tumors at 3T is feasible and was well tolerated by all patients enrolled in this preliminary study. Amide levels measured by 3D DF-MRSI were significantly different between treatment effect and tumor regrowth.
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Affiliation(s)
- İpek Özdemir
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - David O. Kamson
- Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Semra Etyemez
- Department of Obstetrics & Gynecology, Weill Cornell Medicine, New York, NY 10065, USA
- Department of Psychiatry, Weill Cornell Medicine, New York, NY 10065, USA
| | - Lindsay Blair
- Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Doris D. M. Lin
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Peter B. Barker
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- F.M. Kirby Center for Functional Brain MRI, The Kennedy Krieger Institute, Baltimore, MD 21205, USA
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8
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Diehl CD, Giordano FA, Grosu AL, Ille S, Kahl KH, Onken J, Rieken S, Sarria GR, Shiban E, Wagner A, Beck J, Brehmer S, Ganslandt O, Hamed M, Meyer B, Münter M, Raabe A, Rohde V, Schaller K, Schilling D, Schneider M, Sperk E, Thomé C, Vajkoczy P, Vatter H, Combs SE. Opportunities and Alternatives of Modern Radiation Oncology and Surgery for the Management of Resectable Brain Metastases. Cancers (Basel) 2023; 15:3670. [PMID: 37509330 PMCID: PMC10377800 DOI: 10.3390/cancers15143670] [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: 04/18/2023] [Revised: 07/10/2023] [Accepted: 07/11/2023] [Indexed: 07/30/2023] Open
Abstract
Postsurgical radiotherapy (RT) has been early proven to prevent local tumor recurrence, initially performed with whole brain RT (WBRT). Subsequent to disadvantageous cognitive sequalae for the patient and the broad distribution of modern linear accelerators, focal irradiation of the tumor has omitted WBRT in most cases. In many studies, the effectiveness of local RT of the resection cavity, either as single-fraction stereotactic radiosurgery (SRS) or hypo-fractionated stereotactic RT (hFSRT), has been demonstrated to be effective and safe. However, whereas prospective high-level incidence is still lacking on which dose and fractionation scheme is the best choice for the patient, further ablative techniques have come into play. Neoadjuvant SRS (N-SRS) prior to resection combines straightforward target delineation with an accelerated post-surgical phase, allowing an earlier start of systemic treatment or rehabilitation as indicated. In addition, low-energy intraoperative RT (IORT) on the surgical bed has been introduced as another alternative to external beam RT, offering sterilization of the cavity surface with steep dose gradients towards the healthy brain. This consensus paper summarizes current local treatment strategies for resectable brain metastases regarding available data and patient-centered decision-making.
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Affiliation(s)
- Christian D Diehl
- Department of Radiation Oncology, Technical University of Munich (TUM), Klinikum rechts der Isar, 81675 München, Germany
- Institute of Radiation Medicine (IRM), Helmholtz Zentrum München, 85764 Neuherberg, Germany
- Deutsches Konsortium für Translationale Krebsforschung (DKTK), Partner Site Munich, 80336 München, Germany
| | - Frank A Giordano
- Department of Radiation Oncology, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany
| | - Anca-L Grosu
- Department of Radiation Oncology, University Medical Center, Medical Faculty, 79106 Freiburg, Germany
| | - Sebastian Ille
- Department of Neurosurgery, Faculty of Medicine, Technical University of Munich, 81675 München, Germany
| | - Klaus-Henning Kahl
- Department of Radiation Oncology, University Medical Center Augsburg, 86156 Augsburg, Germany
| | - Julia Onken
- Department of Neurosurgery, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, 10117 Berlin, Germany
- Berlin Institute of Health, Charité-Universitätsmedizin Berlin, 10117 Berlin, Germany
- German Cancer Consortium (DKTK), Partner Site Berlin, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Stefan Rieken
- Department of Radiotherapy and Radiation Oncology, University Medical Center Göttingen, 37075 Göttingen, Germany
- Comprehensive Cancer Center Niedersachsen (CCC-N), 37075 Göttingen, Germany
| | - Gustavo R Sarria
- Department of Radiation Oncology, University Hospital Bonn, University of Bonn, 53127 Bonn, Germany
| | - Ehab Shiban
- Department of Neurosurgery, University Medical Center Augsburg, 86156 Augsburg, Germany
| | - Arthur Wagner
- Department of Neurosurgery, Faculty of Medicine, Technical University of Munich, 81675 München, Germany
| | - Jürgen Beck
- Department of Neurosurgery, University Hospital Freiburg, 79106 Freiburg, Germany
| | - Stefanie Brehmer
- Department of Neurosurgery, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany
| | - Oliver Ganslandt
- Neurosurgical Clinic, Klinikum Stuttgart, 70174 Stuttgart, Germany
| | - Motaz Hamed
- Department of Neurosurgery, University Hospital Bonn, 53127 Bonn, Germany
| | - Bernhard Meyer
- Department of Neurosurgery, Faculty of Medicine, Technical University of Munich, 81675 München, Germany
| | - Marc Münter
- Department of Radiation Oncology, Klinikum Stuttgart Katharinenhospital, 70174 Stuttgart, Germany
| | - Andreas Raabe
- Department of Neurosurgery, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland
| | - Veit Rohde
- Department of Neurosurgery, Universitätsmedizin Göttingen, 37075 Göttingen, Germany
| | - Karl Schaller
- Department of Neurosurgery, University of Geneva Medical Center & Faculty of Medicine, 1211 Geneva, Switzerland
| | - Daniela Schilling
- Department of Radiation Oncology, Technical University of Munich (TUM), Klinikum rechts der Isar, 81675 München, Germany
- Institute of Radiation Medicine (IRM), Helmholtz Zentrum München, 85764 Neuherberg, Germany
| | - Matthias Schneider
- Department of Neurosurgery, University Hospital Bonn, 53127 Bonn, Germany
| | - Elena Sperk
- Mannheim Cancer Center, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany
| | - Claudius Thomé
- Department of Neurosurgery, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Peter Vajkoczy
- Department of Neurosurgery, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, 10117 Berlin, Germany
| | - Hartmut Vatter
- Department of Neurosurgery, University Hospital Bonn, 53127 Bonn, Germany
| | - Stephanie E Combs
- Department of Radiation Oncology, Technical University of Munich (TUM), Klinikum rechts der Isar, 81675 München, Germany
- Institute of Radiation Medicine (IRM), Helmholtz Zentrum München, 85764 Neuherberg, Germany
- Deutsches Konsortium für Translationale Krebsforschung (DKTK), Partner Site Munich, 80336 München, Germany
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9
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Peer S, Gopinath R, Saini J, Kumar P, Srinivas D, Nagaraj C. Evaluation of the Diagnostic Performance of F18-Fluorodeoxyglucose-Positron Emission Tomography, Dynamic Susceptibility Contrast Perfusion, and Apparent Diffusion Coefficient in Differentiation between Recurrence of a High-grade Glioma and Radiation Necrosis. Indian J Nucl Med 2023; 38:115-124. [PMID: 37456178 PMCID: PMC10348492 DOI: 10.4103/ijnm.ijnm_73_22] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 08/20/2022] [Accepted: 09/06/2022] [Indexed: 07/18/2023] Open
Abstract
Background Differentiation between recurrence of brain tumor and radiation necrosis remains a challenge in current neuro-oncology practice despite recent advances in both radiological and nuclear medicine techniques. Purpose The purpose of this study was to compare the diagnostic performance of dynamic susceptibility contrast (DSC) perfusion magnetic resonance imaging (MRI), apparent diffusion coefficient (ADC) derived from diffusion-weighted imaging, and F18-fluorodeoxyglucose-positron emission tomography (F18-FDG-PET) in the differentiation between the recurrence of a high-grade glioma and radiation necrosis. Materials and Methods Patients with a diagnosis of high-grade glioma (WHO Grades III and IV) who had undergone surgical resection of the tumor followed by radiotherapy with or without chemotherapy were included in the study. DSC perfusion, diffusion-weighted MRI, and PET scan were acquired on a hybrid PET/MRI scanner. For each lesion, early and delayed tumor-to-brain ratio (TBR), early and delayed maximum standardized uptake value (SUVmax), normalized ADC ratio, and normalized relative cerebral blood volume (rCBV) ratio were calculated and the pattern of lesional enhancement was noted. The diagnosis was finalized with either histopathological examination or the characteristics on follow-up imaging. The statistical analysis using the receiver operator characteristic curves was done to determine the diagnostic performance of DSC perfusion, 18-F FDG-PET, and ADC in differentiation between tumor recurrence and radiation necrosis. Results Fifty patients were included in the final analysis, 32 of them being men (64%). A cutoff value of early TBR >0.8 (sensitivity of 100% and specificity of 80%), delayed TBR >0.93 (sensitivity of 92.3% and specificity of 80%), early SUVmax >10.2 (sensitivity of 76.9% and specificity of 80%), delayed SUVmax >13.2 (sensitivity of 61.54% and specificity of 100%), normalized rCBV ratio >1.21 (sensitivity of 100% and specificity of 60%), normalized ADC ratio >1.66 (sensitivity of 38.5% and specificity of 80%), and Grade 3 enhancement (sensitivity of 100% and specificity of 60%) were found to differentiate recurrence from radiation necrosis. Early TBR had the highest accuracy (94.44%), while ADC ratio had the lowest accuracy (50%). A combination of early TBR (cutoff value of 0.8), late TBR (cutoff value of 0.93), and rCBV ratio (cutoff value of 1.21) showed a sensitivity of 100%, specificity of 92.3%, positive predictive value of 88.9%, negative predictive value of 93.7%, and an accuracy of 96.6% in discrimination between radiation necrosis and recurrence of tumor. Conclusion F18-FDG-PET and DSC perfusion can reliably differentiate tumor recurrence from radiation necrosis, with early TBR showing the highest accuracy. ADC demonstrates a low sensitivity, specificity, and accuracy in differentiating radiation necrosis from recurrence. A combination of early TBR, delayed TBR, and rCBV may be more useful in discrimination between radiation necrosis and recurrence of glioma, with this combination showing a better diagnostic performance than individual parameters or any other combination of parameters.
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Affiliation(s)
- Sameer Peer
- Department of Radiodiagnosis, AIIMS, Bathinda, Punjab, India
| | - R. Gopinath
- Department of Neuro Imaging and Interventional Radiology, Bengaluru, Karnataka, India
| | - Jitender Saini
- Department of Neuro Imaging and Interventional Radiology, Bengaluru, Karnataka, India
| | - Pardeep Kumar
- Department of Neuro Imaging and Interventional Radiology, Bengaluru, Karnataka, India
| | | | - Chandana Nagaraj
- Department of Nuclear Medicine, St. Johns National Academy of Health Sciences, Bengaluru, Karnataka, India
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10
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Thomson HM, Fortin Ensign SP, Edmonds VS, Sharma A, Butterfield RJ, Schild SE, Ashman JB, Zimmerman RS, Patel NP, Bryce AH, Vora SA, Sio TT, Porter AB. Clinical Outcomes of Stereotactic Radiosurgery-Related Radiation
Necrosis in Patients with Intracranial Metastasis from Melanoma. Clin Med Insights Oncol 2023; 17:11795549231161878. [PMID: 36968334 PMCID: PMC10034291 DOI: 10.1177/11795549231161878] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 02/19/2023] [Indexed: 03/24/2023] Open
Abstract
Background: Radiation necrosis (RN) is a clinically relevant complication of stereotactic
radiosurgery (SRS) for intracranial metastasis (ICM) treatments. Radiation
necrosis development is variable following SRS. It remains unclear if risk
factors for and clinical outcomes following RN may be different for melanoma
patients. We reviewed patients with ICM from metastatic melanoma to
understand the potential impact of RN in this patient population. Methods: Patients who received SRS for ICM from melanoma at Mayo Clinic Arizona
between 2013 and 2018 were retrospectively reviewed. Data collected included
demographics, tumor characteristics, radiation parameters, prior surgical
and systemic treatments, and patient outcomes. Radiation necrosis was
diagnosed by clinical evaluation including brain magnetic resonance imaging
(MRI) and, in some cases, tissue evaluation. Results: Radiation necrosis was diagnosed in 7 (27%) of 26 patients at 1.6 to 38
months following initial SRS. Almost 92% of all patients received systemic
therapy and 35% had surgical resection prior to SRS. Patients with RN
trended toward having larger ICM and a prior history of surgical resection,
although statistical significance was not reached. Among patients with
resection, those who developed RN had a longer period between surgery and
SRS start (mean 44 vs 33 days). Clinical improvement following treatment for
RN was noted in 2 (29%) patients. Conclusions: Radiation necrosis is relatively common following SRS for treatment of ICM
from metastatic melanoma and clinical outcomes are poor. Further studies
aimed at mitigating RN development and identifying novel approaches for
treatment are warranted.
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Affiliation(s)
- Holly M Thomson
- Department of Internal Medicine, Mayo
Clinic, Phoenix, AZ, USA
| | | | | | - Akanksha Sharma
- Department of Neurology, Pacific
Neurosciences Institute and John Wayne Cancer Center, Santa Monica, CA, USA
| | | | - Steven E Schild
- Department of Radiation Oncology, Mayo
Clinic, Phoenix, AZ, USA
| | | | | | - Naresh P Patel
- Department of Neurosurgery, Mayo
Clinic, Phoenix, AZ, USA
| | - Alan H Bryce
- Department of Hematology and Oncology,
Mayo Clinic, Phoenix, AZ, USA
| | - Sujay A Vora
- Department of Radiation Oncology, Mayo
Clinic, Phoenix, AZ, USA
| | - Terence T Sio
- Department of Radiation Oncology, Mayo
Clinic, Phoenix, AZ, USA
| | - Alyx B Porter
- Department of Hematology and Oncology,
Mayo Clinic, Phoenix, AZ, USA
- Department of Neurology, College of
Medicine, Mayo Clinic, Phoenix, AZ, USA
- Alyx B Porter, Department of Neurology,
College of Medicine, Mayo Clinic, 5777 E Mayo Blvd, Phoenix, AZ 85054, USA.
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11
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Mayo ZS, Halima A, Broughman JR, Smile TD, Tom MC, Murphy ES, Suh JH, Lo SS, Barnett GH, Wu G, Johnson S, Chao ST. Radiation necrosis or tumor progression? A review of the radiographic modalities used in the diagnosis of cerebral radiation necrosis. J Neurooncol 2023; 161:23-31. [PMID: 36633800 DOI: 10.1007/s11060-022-04225-y] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 12/20/2022] [Indexed: 01/13/2023]
Abstract
PURPOSE Cerebral radiation necrosis is a complication of radiation therapy that can be seen months to years following radiation treatment. Differentiating radiation necrosis from tumor progression on standard magnetic resonance imaging (MRI) is often difficult and advanced imaging techniques may be needed to make an accurate diagnosis. The purpose of this article is to review the imaging modalities used in differentiating radiation necrosis from tumor progression following radiation therapy for brain metastases. METHODS We performed a review of the literature addressing the radiographic modalities used in the diagnosis of radiation necrosis. RESULTS Differentiating radiation necrosis from tumor progression remains a diagnostic challenge and advanced imaging modalities are often required to make a definitive diagnosis. If diagnostic uncertainty remains following conventional imaging, a multi-modality diagnostic approach with perfusion MRI, magnetic resonance spectroscopy (MRS), positron emission tomography (PET), single photon emission spectroscopy (SPECT), and radiomics may be used to improve diagnosis. CONCLUSION Several imaging modalities exist to aid in the diagnosis of radiation necrosis. Future studies developing advanced imaging techniques are needed.
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Affiliation(s)
- Zachary S Mayo
- Department of Radiation Oncology, Cleveland Clinic, 9500 Euclid Ave CA-50, Cleveland, OH, 44195, USA
| | - Ahmed Halima
- Department of Radiation Oncology, Cleveland Clinic, 9500 Euclid Ave CA-50, Cleveland, OH, 44195, USA
| | - James R Broughman
- Department of Radiation Oncology, Cleveland Clinic, 9500 Euclid Ave CA-50, Cleveland, OH, 44195, USA
| | - Timothy D Smile
- Department of Radiation Oncology, Cleveland Clinic, 9500 Euclid Ave CA-50, Cleveland, OH, 44195, USA
| | - Martin C Tom
- Department of Radiation Oncology, MD Anderson Cancer Center, Houston, TX, USA
| | - Erin S Murphy
- Department of Radiation Oncology, Cleveland Clinic, 9500 Euclid Ave CA-50, Cleveland, OH, 44195, USA.,Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH, USA
| | - John H Suh
- Department of Radiation Oncology, Cleveland Clinic, 9500 Euclid Ave CA-50, Cleveland, OH, 44195, USA.,Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH, USA
| | - Simon S Lo
- Department of Radiation Oncology, University of Washington, Seattle, WA, USA
| | - Gene H Barnett
- Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH, USA.,Department of Neurosurgery, Cleveland Clinic, Cleveland, OH, USA
| | - Guiyun Wu
- Department of Radiology, Cleveland Clinic, Cleveland, OH, USA
| | - Scott Johnson
- Department of Radiology, Cleveland Clinic, Cleveland, OH, USA
| | - Samuel T Chao
- Department of Radiation Oncology, Cleveland Clinic, 9500 Euclid Ave CA-50, Cleveland, OH, 44195, USA. .,Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH, USA.
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12
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Ocaña-Tienda B, Pérez-Beteta J, Molina-García D, Asenjo B, Ortiz de Mendivil A, Albillo D, Pérez-Romasanta L, González del Portillo E, Llorente M, Carballo N, Arana E, Pérez-García V. Growth dynamics of brain metastases differentiate radiation necrosis from recurrence. Neurooncol Adv 2022; 5:vdac179. [PMID: 36726366 PMCID: PMC9887079 DOI: 10.1093/noajnl/vdac179] [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] [Indexed: 12/13/2022] Open
Abstract
Background Radiation necrosis (RN) is a frequent adverse event after fractionated stereotactic radiotherapy (FSRT) or single-session stereotactic radiosurgery (SRS) treatment of brain metastases (BMs). It is difficult to distinguish RN from progressive disease (PD) due to their similarities in the magnetic resonance images. Previous theoretical studies have hypothesized that RN could have faster, although transient, growth dynamics after FSRT/SRS, but no study has proven that hypothesis using patient data. Thus, we hypothesized that lesion size time dynamics obtained from growth laws fitted with data from sequential volumetric measurements on magnetic resonance images may help in discriminating recurrent BMs from RN events. Methods A total of 101 BMs from different institutions, growing after FSRT/SRS (60 PDs and 41 RNs) in 86 patients, displaying growth for at least 3 consecutive MRI follow-ups were selected for the study from a database of 1031 BMs. The 3 parameters of the Von Bertalanffy growth law were determined for each BM and used to discriminate statistically PDs from RNs. Results Growth exponents in patients with RNs were found to be substantially larger than those of PD, due to the faster, although transient, dynamics of inflammatory processes. Statistically significant differences (P < .001) were found between both groups. The receiver operating characteristic curve (AUC = 0.76) supported the ability of the growth law exponent to classify the events. Conclusions Growth law exponents obtained from sequential longitudinal magnetic resonance images after FSRT/SRS can be used as a complementary tool in the differential diagnosis between RN and PD.
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Affiliation(s)
- Beatriz Ocaña-Tienda
- Corresponding Author: Beatriz Ocaña-Tienda, Mathematical Oncology Laboratory, University of Castilla-La Mancha, Avda Camilo José Cela n2 13071, Ciudad Real, Spain ()
| | - Julián Pérez-Beteta
- Mathematical Oncology Laboratory, University of Castilla-La Mancha, Ciudad Real, Spain
| | - David Molina-García
- Mathematical Oncology Laboratory, University of Castilla-La Mancha, Ciudad Real, Spain
| | - Beatriz Asenjo
- Department of Radiology, Hospital Regional Universitario Carlos Haya, Málaga, Spain
| | - Ana Ortiz de Mendivil
- Department of Radiology, Sanchinarro University Hospital, HM Hospitales, Madrid, Spain
| | - David Albillo
- Radiology Unit, MD Anderson Cancer Center, Madrid, Spain
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13
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Galldiks N, Wollring M, Werner JM, Friedrich M, Fink GR, Langen KJ, Lohmann P. An updated review on the diagnosis and assessment of post-treatment relapse in brain metastases using PET. Expert Rev Neurother 2022; 22:915-921. [PMID: 36563186 DOI: 10.1080/14737175.2022.2162880] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
INTRODUCTION Brain metastases in patients with extracranial cancer are typically associated with increased morbidity and mortality. Stereotactic radiotherapy and immunotherapy using checkpoint inhibitors currently are essential in brain metastases treatment. Since conventional contrast-enhanced MRI alone cannot reliably differentiate between treatment-induced changes and brain metastasis relapse, several studies investigated the role of PET imaging and, more recently, radiomics, based on routinely acquired PET images, to overcome this clinically relevant challenge. AREAS COVERED The current literature on PET imaging, including radiomics, in patients with brain metastases, focusing on the diagnosis and assessment of post-treatment relapse, is summarized. EXPERT OPINION Available data suggest that imaging parameters, including radiomics features, mainly derived from amino acid PET, are helpful for diagnosis and assessment of post-treatment relapse in patients with brain metastases.
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Affiliation(s)
- Norbert Galldiks
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany.,Inst. of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Germany.,Center for Integrated Oncology (CIO), Universities of Aachen, Bonn, Germany
| | - Michael Wollring
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany.,Inst. of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Germany
| | - Jan-Michael Werner
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany
| | - Michel Friedrich
- Inst. of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Germany
| | - Gereon R Fink
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany.,Inst. of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Germany
| | - Karl-Josef Langen
- Inst. of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Germany.,Center for Integrated Oncology (CIO), Universities of Aachen, Bonn, Germany.,Department of Nuclear Medicine, University Hospital RWTH Aachen, Germany
| | - Philipp Lohmann
- Inst. of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Germany.,Department of Stereotaxy and Functional Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
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14
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Zhu M, Li S, Kuang Y, Hill VB, Heimberger AB, Zhai L, Zhai S. Artificial intelligence in the radiomic analysis of glioblastomas: A review, taxonomy, and perspective. Front Oncol 2022; 12:924245. [PMID: 35982952 PMCID: PMC9379255 DOI: 10.3389/fonc.2022.924245] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Accepted: 07/04/2022] [Indexed: 11/17/2022] Open
Abstract
Radiological imaging techniques, including magnetic resonance imaging (MRI) and positron emission tomography (PET), are the standard-of-care non-invasive diagnostic approaches widely applied in neuro-oncology. Unfortunately, accurate interpretation of radiological imaging data is constantly challenged by the indistinguishable radiological image features shared by different pathological changes associated with tumor progression and/or various therapeutic interventions. In recent years, machine learning (ML)-based artificial intelligence (AI) technology has been widely applied in medical image processing and bioinformatics due to its advantages in implicit image feature extraction and integrative data analysis. Despite its recent rapid development, ML technology still faces many hurdles for its broader applications in neuro-oncological radiomic analysis, such as lack of large accessible standardized real patient radiomic brain tumor data of all kinds and reliable predictions on tumor response upon various treatments. Therefore, understanding ML-based AI technologies is critically important to help us address the skyrocketing demands of neuro-oncology clinical deployments. Here, we provide an overview on the latest advancements in ML techniques for brain tumor radiomic analysis, emphasizing proprietary and public dataset preparation and state-of-the-art ML models for brain tumor diagnosis, classifications (e.g., primary and secondary tumors), discriminations between treatment effects (pseudoprogression, radiation necrosis) and true progression, survival prediction, inflammation, and identification of brain tumor biomarkers. We also compare the key features of ML models in the realm of neuroradiology with ML models employed in other medical imaging fields and discuss open research challenges and directions for future work in this nascent precision medicine area.
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Affiliation(s)
- Ming Zhu
- Department of Electrical and Computer Engineering, University of Nevada Las Vegas, Las Vegas, NV, United States
| | - Sijia Li
- Kirk Kerkorian School of Medicine, University of Nevada Las Vegas, Las Vegas, NV, United States
| | - Yu Kuang
- Medical Physics Program, Department of Health Physics, University of Nevada Las Vegas, Las Vegas, NV, United States
| | - Virginia B. Hill
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Amy B. Heimberger
- Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
- Malnati Brain Tumor Institute of the Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Lijie Zhai
- Department of Neurological Surgery, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
- Malnati Brain Tumor Institute of the Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
- *Correspondence: Lijie Zhai, ; Shengjie Zhai,
| | - Shengjie Zhai
- Department of Electrical and Computer Engineering, University of Nevada Las Vegas, Las Vegas, NV, United States
- *Correspondence: Lijie Zhai, ; Shengjie Zhai,
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15
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Wiggins RH, Hoffman JM, Fine GC, Covington MF, Salem AE, Koppula BR, Morton KA. PET-CT in Clinical Adult Oncology-V. Head and Neck and Neuro Oncology. Cancers (Basel) 2022; 14:cancers14112726. [PMID: 35681709 PMCID: PMC9179458 DOI: 10.3390/cancers14112726] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 05/25/2022] [Accepted: 05/25/2022] [Indexed: 02/04/2023] Open
Abstract
Simple Summary Positron emission tomography (PET), typically combined with computed tomography (CT) has become a critical advanced imaging technique in oncology. With PET-CT, a radioactive molecule (radiotracer) is injected in the bloodstream and localizes to sites of tumor because of specific cellular features of the tumor that accumulate the targeting radiotracer. The CT scan, performed at the same time, provides information to facilitate attenuation correction, so that radioactivity from deep or dense structures can be better visualized, but with head and neck malignancies it is critical to provide correlating detailed anatomic imaging. PET-CT has a variety of applications in oncology, including staging, therapeutic response assessment, restaging, and surveillance. This series of six review articles provides an overview of the value, applications, and imaging and interpretive strategies of PET-CT in the more common adult malignancies. The fifth report in this series provides a review of PET-CT imaging in head and neck and neuro oncology. Abstract PET-CT is an advanced imaging modality with many oncologic applications, including staging, assessment of response to therapy, restaging, and longitudinal surveillance for recurrence. The goal of this series of six review articles is to provide practical information to providers and imaging professionals regarding the best use of PET-CT for specific oncologic indications, and the potential pitfalls and nuances that characterize these applications. In addition, key tumor-specific clinical information and representative PET-CT images are provided to outline the role that PET-CT plays in the management of oncology patients. Hundreds of different types of tumors exist, both pediatric and adult. A discussion of the role of FDG PET for all of these is beyond the scope of this review. Rather, this series of articles focuses on the most common adult malignancies that may be encountered in clinical practice. It also focuses on FDA-approved and clinically available radiopharmaceuticals, rather than research tracers or those requiring a local cyclotron. The fifth review article in this series focuses on PET-CT imaging in head and neck tumors, as well as brain tumors. Common normal variants, key anatomic features, and benign mimics of these tumors are reviewed. The goal of this review article is to provide the imaging professional with guidance in the interpretation of PET-CT for the more common head and neck malignancies and neuro oncology, and to inform the referring providers so that they can have realistic expectations of the value and limitations of PET-CT for the specific type of tumor being addressed.
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Affiliation(s)
- Richard H. Wiggins
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT 84132, USA; (R.H.W.); (J.M.H.); (G.C.F.); (M.F.C.); (A.E.S.); (B.R.K.)
| | - John M. Hoffman
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT 84132, USA; (R.H.W.); (J.M.H.); (G.C.F.); (M.F.C.); (A.E.S.); (B.R.K.)
| | - Gabriel C. Fine
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT 84132, USA; (R.H.W.); (J.M.H.); (G.C.F.); (M.F.C.); (A.E.S.); (B.R.K.)
| | - Matthew F. Covington
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT 84132, USA; (R.H.W.); (J.M.H.); (G.C.F.); (M.F.C.); (A.E.S.); (B.R.K.)
| | - Ahmed Ebada Salem
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT 84132, USA; (R.H.W.); (J.M.H.); (G.C.F.); (M.F.C.); (A.E.S.); (B.R.K.)
- Department of Radiodiagnosis and Intervention, Faculty of Medicine, Alexandria University, Alexandria 21526, Egypt
| | - Bhasker R. Koppula
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT 84132, USA; (R.H.W.); (J.M.H.); (G.C.F.); (M.F.C.); (A.E.S.); (B.R.K.)
| | - Kathryn A. Morton
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT 84132, USA; (R.H.W.); (J.M.H.); (G.C.F.); (M.F.C.); (A.E.S.); (B.R.K.)
- Intermountain Healthcare Hospitals, Summit Physician Specialists, Murray, UT 84123, USA
- Correspondence: ; Tel.: +1-801-581-7553
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16
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Clinical Imaging and Dosimetry of a Pan-Cancer Targeting Alkylphosphocholine Analog, [124I]I-NM404. RADIATION 2022. [DOI: 10.3390/radiation2020015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
The purpose of this study was to assess organ dosimetry and clinical use of [124I]I-NM404, a radiotheranostic alkylphosphocholine (APC) analog, for accurate detection and characterization of a wide variety of solid primary and metastatic malignancies anywhere in the body. Methods: Patterns of [124I]I-NM404 uptake were quantitatively analyzed and qualitatively compared with [18F]FDG PET/CT in 14 patients (median age, 61.5 years; 7 males, 7 females) with refractory metastatic cancer who were enrolled in one of two Phase I imaging studies. Primary cancer types included bronchogenic (n = 7), colorectal (n = 1), prostate (n = 1), triple-negative breast (n = 1), head and neck (n = 2), pancreatic (n = 1) carcinoma, and melanoma (n = 1). Patients were administered [124I]I-NM404 and imaged via PET/CT at 1–2, 4–6, 24, and 48 h and at 5–10 days post injection, from top of the skull to mid-thigh. Volumes of interest were drawn over lungs, heart, liver, kidneys, and whole body for dosimetry estimation using OLINDA 1.1 Representative metastatic index lesions were chosen when applicable for each case with active sites of disease to calculate maximum and mean tumor-to-background ratios (TBRmax, TBRmean), using the adjacent normal organ parenchyma as background when possible. Results: Administrations of [124I]-NM404 were safe and well-tolerated. The organs with the highest estimated absorbed dose (mean ± SD) were the lungs (1.74 ± 0.39 mSv/MBq), heart wall (1.52 ± 0.29 mSv/MBq), liver (1.28 ± 0.21 mSv/MBq) and kidneys (1.09 ± 0.20 mSv/MBq). The effective dose was 0.77 ± 0.05 mSv/MBq. Preferential uptake within metastatic foci was observed with all cancer subtypes, TBRmax ranged from 1.95 to 15.36 and TBRmean ranged from 1.63 to 6.63. Robust sensitive imaging of lesions was enhanced by delayed timing (2–6 days after single injection of [124I]I-NM404, respectively) due to persistent tumor retention coupled with progressive washout of background activity. NM404 uptake was evident in pulmonary, nodal, skeletal, CNS, and other metastatic sites of disease. Radiation related injury or necrosis were NM404 negative, whereas certain small number of metastatic brain lesions were false negative for NM404. Conclusions: In addition to being well tolerated, selective tumor uptake of NM404 with prolonged retention was demonstrated within a broad spectrum of highly treated metastatic cancers.
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17
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PET Imaging in Neuro-Oncology: An Update and Overview of a Rapidly Growing Area. Cancers (Basel) 2022; 14:cancers14051103. [PMID: 35267411 PMCID: PMC8909369 DOI: 10.3390/cancers14051103] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 02/08/2022] [Accepted: 02/19/2022] [Indexed: 12/21/2022] Open
Abstract
Simple Summary Positron emission tomography (PET) is a functional imaging technique which plays an increasingly important role in the management of brain tumors. Owing different radiotracers, PET allows to image different metabolic aspects of the brain tumors. This review outlines currently available PET radiotracers and their respective indications in neuro-oncology. It specifically focuses on the investigation of gliomas, meningiomas, primary central nervous system lymphomas as well as brain metastases. Recent advances in the production of PET radiotracers, image analyses and translational applications to peptide radionuclide receptor therapy, which allow to treat brain tumors with radiotracers, are also discussed. The objective of this review is to provide a comprehensive overview of PET imaging’s potential in neuro-oncology as an adjunct to brain magnetic resonance imaging (MRI). Abstract PET plays an increasingly important role in the management of brain tumors. This review outlines currently available PET radiotracers and their respective indications. It specifically focuses on 18F-FDG, amino acid and somatostatin receptor radiotracers, for imaging gliomas, meningiomas, primary central nervous system lymphomas as well as brain metastases. Recent advances in radiopharmaceuticals, image analyses and translational applications to therapy are also discussed. The objective of this review is to provide a comprehensive overview of PET imaging’s potential in neuro-oncology as an adjunct to brain MRI for all medical professionals implicated in brain tumor diagnosis and care.
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18
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Salvage Treatment for Progressive Brain Metastases in Breast Cancer. Cancers (Basel) 2022; 14:cancers14041096. [PMID: 35205844 PMCID: PMC8870695 DOI: 10.3390/cancers14041096] [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: 12/06/2021] [Revised: 01/31/2022] [Accepted: 02/17/2022] [Indexed: 11/24/2022] Open
Abstract
Simple Summary Thirty percent of patients with human epidermal growth factor receptor 2-positive breast cancer and triple-negative breast cancer, and 15% of patients with the remaining subtypes of breast cancer will develop brain metastases. Available treatment methods include surgery and radiotherapy. However, some individuals will experience intracranial progression despite prior local treatment. This situation remains a challenge. In the case of progressing lesions amenable to local therapy, the choice of a treatment method must consider performance status, cancer burden, possible toxicity, and previously applied therapy. Stereotactic radiosurgery or fractionated radiotherapy rather than whole-brain radiotherapy should be used only if feasible. If local therapy is unfeasible, selected patients, especially those with human epidermal growth factor receptor 2-positive breast cancer, may benefit from systemic therapy. Abstract Survival of patients with breast cancer has increased in recent years due to the improvement of systemic treatment options. Nevertheless, the occurrence of brain metastases is associated with a poor prognosis. Moreover, most drugs do not penetrate the central nervous system because of the blood–brain barrier. Thus, confirmed intracranial progression after local therapy is especially challenging. The available methods of salvage treatment include surgery, stereotactic radiosurgery (SRS), fractionated stereotactic radiotherapy (FSRT), whole-brain radiotherapy, and systemic therapies. This narrative review discusses possible strategies of salvage treatment for progressive brain metastases in breast cancer. It covers possibilities of repeated local treatment using the same method as applied previously, other methods of local therapy, and options of salvage systemic treatment. Repeated local therapy may provide a significant benefit in intracranial progression-free survival and overall survival. However, it could lead to significant toxicity. Thus, the choice of optimal methods should be carefully discussed within the multidisciplinary tumor board.
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19
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Huang J, Chen Z, Park SW, Lai JHC, Chan KWY. Molecular Imaging of Brain Tumors and Drug Delivery Using CEST MRI: Promises and Challenges. Pharmaceutics 2022; 14:451. [PMID: 35214183 PMCID: PMC8880023 DOI: 10.3390/pharmaceutics14020451] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Revised: 02/16/2022] [Accepted: 02/17/2022] [Indexed: 12/10/2022] Open
Abstract
Chemical exchange saturation transfer (CEST) magnetic resonance imaging (MRI) detects molecules in their natural forms in a sensitive and non-invasive manner. This makes it a robust approach to assess brain tumors and related molecular alterations using endogenous molecules, such as proteins/peptides, and drugs approved for clinical use. In this review, we will discuss the promises of CEST MRI in the identification of tumors, tumor grading, detecting molecular alterations related to isocitrate dehydrogenase (IDH) and O-6-methylguanine-DNA methyltransferase (MGMT), assessment of treatment effects, and using multiple contrasts of CEST to develop theranostic approaches for cancer treatments. Promising applications include (i) using the CEST contrast of amide protons of proteins/peptides to detect brain tumors, such as glioblastoma multiforme (GBM) and low-grade gliomas; (ii) using multiple CEST contrasts for tumor stratification, and (iii) evaluation of the efficacy of drug delivery without the need of metallic or radioactive labels. These promising applications have raised enthusiasm, however, the use of CEST MRI is not trivial. CEST contrast depends on the pulse sequences, saturation parameters, methods used to analyze the CEST spectrum (i.e., Z-spectrum), and, importantly, how to interpret changes in CEST contrast and related molecular alterations in the brain. Emerging pulse sequence designs and data analysis approaches, including those assisted with deep learning, have enhanced the capability of CEST MRI in detecting molecules in brain tumors. CEST has become a specific marker for tumor grading and has the potential for prognosis and theranostics in brain tumors. With increasing understanding of the technical aspects and associated molecular alterations detected by CEST MRI, this young field is expected to have wide clinical applications in the near future.
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Affiliation(s)
- Jianpan Huang
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China; (J.H.); (Z.C.); (S.-W.P.); (J.H.C.L.)
| | - Zilin Chen
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China; (J.H.); (Z.C.); (S.-W.P.); (J.H.C.L.)
| | - Se-Weon Park
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China; (J.H.); (Z.C.); (S.-W.P.); (J.H.C.L.)
- Hong Kong Centre for Cerebro-Cardiovascular Health Engineering (COCHE), Hong Kong, China
| | - Joseph H. C. Lai
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China; (J.H.); (Z.C.); (S.-W.P.); (J.H.C.L.)
| | - Kannie W. Y. Chan
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China; (J.H.); (Z.C.); (S.-W.P.); (J.H.C.L.)
- Hong Kong Centre for Cerebro-Cardiovascular Health Engineering (COCHE), Hong Kong, China
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
- Shenzhen Research Institute, City University of Hong Kong, Shenzhen 518057, China
- Tung Biomedical Science Centre, City University of Hong Kong, Hong Kong, China
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20
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Malviya G, Siow B. Hybrid PET/MR systems. Nucl Med Mol Imaging 2022. [DOI: 10.1016/b978-0-12-822960-6.00145-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
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21
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Cicone F, Carideo L, Scaringi C, Romano A, Mamede M, Papa A, Tofani A, Cascini GL, Bozzao A, Scopinaro F, Minniti G. Long-term metabolic evolution of brain metastases with suspected radiation necrosis following stereotactic radiosurgery: longitudinal assessment by F-DOPA PET. Neuro Oncol 2021; 23:1024-1034. [PMID: 33095884 DOI: 10.1093/neuonc/noaa239] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND The evolution of radiation necrosis (RN) varies depending on the combination of radionecrotic tissue and active tumor cells. In this study, we characterized the long-term metabolic evolution of RN by sequential PET/CT imaging with 3,4-dihydroxy-6-[18F]-fluoro-l-phenylalanine (F-DOPA) in patients with brain metastases following stereotactic radiosurgery (SRS). METHODS Thirty consecutive patients with 34 suspected radionecrotic brain metastases following SRS repeated F-DOPA PET/CT every 6 months or yearly in addition to standard MRI monitoring. Diagnoses of local progression (LP) or RN were confirmed histologically or by clinical follow-up. Semi-quantitative parameters of F-DOPA uptake were extracted at different time points, and their diagnostic performances were compared with those of corresponding contrast-enhanced MRI. RESULTS Ninety-nine F-DOPA PET scans were acquired over a median period of 18 (range: 12-66) months. Median follow-up from the baseline F-DOPA PET/CT was 48 (range 21-95) months. Overall, 24 (70.6%) and 10 (29.4%) lesions were classified as RN and LP, respectively. LP occurred after a median of 18 (range: 12-30) months from baseline PET. F-DOPA tumor-to-brain ratio (TBR) and relative standardized uptake value (rSUV) increased significantly over time in LP lesions, while remaining stable in RN lesions. The parameter showing the best diagnostic performance was rSUV (accuracy = 94.1% for the optimal threshold of 1.92). In contrast, variations of the longest tumor dimension measured on contrast-enhancing MRI did not distinguish between RN and LP. CONCLUSION F-DOPA PET has a high diagnostic accuracy for assessing the long-term evolution of brain metastases following SRS.
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Affiliation(s)
- Francesco Cicone
- Department of Experimental and Clinical Medicine, "Magna Graecia" University of Catanzaro, Catanzaro, Italy
| | - Luciano Carideo
- Nuclear Medicine Unit, Sant'Andrea Hospital, Sapienza University of Rome, Rome, Italy
| | - Claudia Scaringi
- Radiation Oncology Unit, UPMC Hillman Cancer Center, San Pietro Hospital FBF, Rome, Italy
| | - Andrea Romano
- Neuroradiology Unit, Sant'Andrea Hospital, Department of Neuroscience, Mental Health and Sense Organs (NESMOS) Sapienza University of Rome, Rome, Italy
| | - Marcelo Mamede
- Department of Anatomy and Imaging, Federal University of Minas Gerais, Belo Horizonte, Brazil
| | - Annalisa Papa
- Nuclear Medicine Unit, University Hospital "Mater Domini," Catanzaro, Italy
| | - Anna Tofani
- Nuclear Medicine Unit, Sant'Andrea Hospital, Sapienza University of Rome, Rome, Italy
| | - Giuseppe Lucio Cascini
- Department of Experimental and Clinical Medicine, "Magna Graecia" University of Catanzaro, Catanzaro, Italy.,Nuclear Medicine Unit, University Hospital "Mater Domini," Catanzaro, Italy
| | - Alessandro Bozzao
- Neuroradiology Unit, Sant'Andrea Hospital, Department of Neuroscience, Mental Health and Sense Organs (NESMOS) Sapienza University of Rome, Rome, Italy
| | - Francesco Scopinaro
- Nuclear Medicine Unit, Sant'Andrea Hospital, Sapienza University of Rome, Rome, Italy
| | - Giuseppe Minniti
- Radiation Oncology Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Policlinico Le Scotte, Siena, Italy.,IRCCS Neuromed, Pozzilli (IS), Italy
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22
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Yamaguchi S, Hirata K, Okamoto M, Shimosegawa E, Hatazawa J, Hirayama R, Kagawa N, Kishima H, Oriuchi N, Fujii M, Kobayashi K, Kobayashi H, Terasaka S, Nishijima KI, Kuge Y, Ito YM, Nishihara H, Tamaki N, Shiga T. Determination of brain tumor recurrence using 11 C-methionine positron emission tomography after radiotherapy. Cancer Sci 2021; 112:4246-4256. [PMID: 34061417 PMCID: PMC8486205 DOI: 10.1111/cas.15001] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 05/24/2021] [Accepted: 05/27/2021] [Indexed: 11/28/2022] Open
Abstract
We conducted a prospective multicenter trial to compare the usefulness of 11C‐methionine (MET) and 18F‐fluorodeoxyglucose (FDG) positron emission tomography (PET) for identifying tumor recurrence. Patients with clinically suspected tumor recurrence after radiotherapy underwent both 11C‐MET and 18F‐FDG PET. When a lesion showed a visually detected uptake of either tracer, it was surgically resected for histopathological analysis. Patients with a lesion negative to both tracers were revaluated by magnetic resonance imaging (MRI) at 3 months after the PET studies. The primary outcome measure was the sensitivity of each tracer in cases with histopathologically confirmed recurrence, as determined by the McNemar test. Sixty‐one cases were enrolled, and 56 cases could be evaluated. The 38 cases where the lesions showed uptake of either 11C‐MET or 18F‐FDG underwent surgery; 32 of these cases were confirmed to be subject to recurrence. Eighteen cases where the lesions showed uptake of neither tracer received follow‐up MRI; the lesion size increased in one of these cases. Among the cases with histologically confirmed recurrence, the sensitivities of 11C‐MET PET and 18F‐FDG PET were 0.97 (32/33, 95% confidence interval [CI]: 0.85‐0.99) and 0.48 (16/33, 95% CI: 0.33‐0.65), respectively, and the difference was statistically significant (P < .0001). The diagnostic accuracy of 11C‐MET PET was significantly better than that of 18F‐FDG PET (87.5% vs. 69.6%, P = .033). No examination‐related adverse events were observed. The results of the study demonstrated that 11C‐MET PET was superior to 18F‐FDG PET for discriminating between tumor recurrence and radiation‐induced necrosis.
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Affiliation(s)
- Shigeru Yamaguchi
- Department of Neurosurgery, Faculty of Medicine, Hokkaido University, Sapporo, Japan
| | - Kenji Hirata
- Department of Nuclear Medicine, Hokkaido University Hospital, Sapporo, Japan.,Department of Diagnostic Imaging, Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Michinari Okamoto
- Department of Neurosurgery, Faculty of Medicine, Hokkaido University, Sapporo, Japan
| | - Eku Shimosegawa
- Department of Molecular Imaging in Medicine, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Jun Hatazawa
- Research Center for Nuclear Physics, Osaka University, Suita, Japan
| | - Ryuichi Hirayama
- Department of Neurosurgery, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Naoki Kagawa
- Department of Neurosurgery, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Haruhiko Kishima
- Department of Neurosurgery, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Noboru Oriuchi
- Department of Nuclear Medicine, Fukushima Medical University Hospital, Fukushima, Japan.,Advanced Clinical Research Center, Fukushima Global Medical Science Center, Fukushima Medical University, Fukushima, Japan
| | - Masazumi Fujii
- Department of Neurosurgery, Fukushima Medical University, Fukushima, Japan
| | - Kentaro Kobayashi
- Department of Diagnostic Imaging, Graduate School of Medicine, Hokkaido University, Sapporo, Japan
| | - Hiroyuki Kobayashi
- Department of Neurosurgery, Faculty of Medicine, Hokkaido University, Sapporo, Japan
| | - Shunsuke Terasaka
- Department of Neurosurgery, Faculty of Medicine, Hokkaido University, Sapporo, Japan
| | - Ken-Ichi Nishijima
- Advanced Clinical Research Center, Fukushima Global Medical Science Center, Fukushima Medical University, Fukushima, Japan.,Central Institute of Isotope Science, Hokkaido University, Sapporo, Japan
| | - Yuji Kuge
- Central Institute of Isotope Science, Hokkaido University, Sapporo, Japan
| | - Yoichi M Ito
- Biostatistics Division, Clinical Research and Medical Innovation Center, Hokkaido University Hospital, Sapporo, Japan
| | - Hiroshi Nishihara
- Genomics Unit, Keio Cancer Center, Keio University School of Medicine, Tokyo, Japan
| | - Nagara Tamaki
- Department of Nuclear Medicine, Hokkaido University Hospital, Sapporo, Japan.,Department of Radiology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Tohru Shiga
- Department of Nuclear Medicine, Hokkaido University Hospital, Sapporo, Japan.,Department of Nuclear Medicine, Fukushima Medical University Hospital, Fukushima, Japan.,Advanced Clinical Research Center, Fukushima Global Medical Science Center, Fukushima Medical University, Fukushima, Japan
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23
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Chaudhari AJ, Badawi RD. Application-specific nuclear medical in vivoimaging devices. Phys Med Biol 2021; 66. [PMID: 33770765 DOI: 10.1088/1361-6560/abf275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2019] [Accepted: 03/26/2021] [Indexed: 11/11/2022]
Abstract
Nuclear medical imaging devices, such as those enabling photon emission imaging (gamma camera, single photon emission computed tomography, or positron emission imaging), that are typically used in today's clinics are optimized for assessing large portions of the human body, and are classified as whole-body imaging systems. These systems have known limitations for organ imaging, therefore application-specific devices have been designed, constructed and evaluated. These devices, given their compact nature and superior technical characteristics, such as their higher detection sensitivity and spatial resolution for organ imaging compared to whole-body imaging systems, have shown promise for niche applications. Several of these devices have further been integrated with complementary anatomical imaging devices. The objectives of this review article are to (1) provide an overview of such application-specific nuclear imaging devices that were developed over the past two decades (in the twenty-first century), with emphasis on brain, cardiac, breast, and prostate imaging; and (2) discuss the rationale, advantages and challenges associated with the translation of these devices for routine clinical imaging. Finally, a perspective on the future prospects for application-specific devices is provided, which is that sustained effort is required both to overcome design limitations which impact their utility (where these exist) and to collect the data required to define their clinical value.
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Affiliation(s)
- Abhijit J Chaudhari
- Department of Radiology, University of California Davis, Sacramento, CA 95817, United States of America.,Center for Molecular and Genomic Imaging, University of California Davis, Davis, CA 95616, United States of America
| | - Ramsey D Badawi
- Department of Radiology, University of California Davis, Sacramento, CA 95817, United States of America.,Department of Biomedical Engineering, University of California Davis, Davis, CA 95616, United States of America
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24
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Bolcaen J, Descamps B, Deblaere K, De Vos F, Boterberg T, Hallaert G, Van den Broecke C, Vanhove C, Goethals I. Assessment of the effect of therapy in a rat model of glioblastoma using [18F]FDG and [18F]FCho PET compared to contrast-enhanced MRI. PLoS One 2021; 16:e0248193. [PMID: 33667282 PMCID: PMC7935304 DOI: 10.1371/journal.pone.0248193] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Accepted: 02/19/2021] [Indexed: 12/31/2022] Open
Abstract
Objective We investigated the potential of [18F]fluorodeoxyglucose ([18F]FDG) and [18F]Fluoromethylcholine ([18F]FCho) PET, compared to contrast-enhanced MRI, for the early detection of treatment response in F98 glioblastoma (GB) rats. Methods When GB was confirmed on T2- and contrast-enhanced T1-weighted MRI, animals were randomized into a treatment group (n = 5) receiving MRI-guided 3D conformal arc micro-irradiation (20 Gy) with concomitant temozolomide, and a sham group (n = 5). Effect of treatment was evaluated by MRI and [18F]FDG PET on day 2, 5, 9 and 12 post-treatment and [18F]FCho PET on day 1, 6, 8 and 13 post-treatment. The metabolic tumor volume (MTV) was calculated using a semi-automatic thresholding method and the average tracer uptake within the MTV was converted to a standard uptake value (SUV). Results To detect treatment response, we found that for [18F]FDG PET (SUVmean x MTV) is superior to MTV only. Using (SUVmean x MTV), [18F]FDG PET detects treatment effect starting as soon as day 5 post-therapy, comparable to contrast-enhanced MRI. Importantly, [18F]FDG PET at delayed time intervals (240 min p.i.) was able to detect the treatment effect earlier, starting at day 2 post-irradiation. No significant differences were found at any time point for both the MTV and (SUVmean x MTV) of [18F]FCho PET. Conclusions Both MRI and particularly delayed [18F]FDG PET were able to detect early treatment responses in GB rats, whereas, in this study this was not possible using [18F]FCho PET. Further comparative studies should corroborate these results and should also include (different) amino acid PET tracers.
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Affiliation(s)
- Julie Bolcaen
- Radiation Biophysics Division, Department of Nuclear Medicine, National Research Foundation iThemba LABS, Faure, South Africa
- * E-mail:
| | - Benedicte Descamps
- Department of Electronics and Information Systems, IBiTech-MEDISIP, Ghent University, Ghent, Belgium
| | - Karel Deblaere
- Department of Radiology, Ghent University Hospital, Ghent, Belgium
| | - Filip De Vos
- Department of Radiopharmacy, Ghent University, Ghent, Belgium
| | - Tom Boterberg
- Department of Radiation Oncology, Ghent University Hospital, Ghent, Belgium
| | - Giorgio Hallaert
- Department of Neurosurgery, Ghent University Hospital, Ghent, Belgium
| | | | - Christian Vanhove
- Department of Electronics and Information Systems, IBiTech-MEDISIP, Ghent University, Ghent, Belgium
| | - Ingeborg Goethals
- Department of Nuclear Medicine, Ghent University Hospital, Ghent, Belgium
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25
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Borja AJ, Hancin EC, Raynor WY, Ayubcha C, Detchou DK, Werner TJ, Revheim ME, Alavi A. A Critical Review of PET Tracers Used for Brain Tumor Imaging. PET Clin 2021; 16:219-231. [PMID: 33589386 DOI: 10.1016/j.cpet.2020.12.004] [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: 12/24/2022]
Abstract
The brain is a common site for metastases as well as primary tumors. Although evaluation of these malignancies with contrast-enhanced MR imaging defines current clinical practice, 18F-fluorodeoxyglucose (FDG)-PET has shown considerable utility in this area. In addition, many other tracers targeting various aspects of tumor biology have been developed and tested. This article discusses recent developments in PET imaging and the anticipated role of FDG and other tracers in the assessment of brain tumors.
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Affiliation(s)
- Austin J Borja
- Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA; Perelman School of Medicine at the University of Pennsylvania, 3400 Civic Center Boulevard, Philadelphia, PA 19104, USA
| | - Emily C Hancin
- Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA; Lewis Katz School of Medicine at Temple University, 3500 North Broad Street, Philadelphia, PA 19140, USA
| | - William Y Raynor
- Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA; Drexel University College of Medicine, 2900 West Queen Lane, Philadelphia, PA 19129, USA
| | - Cyrus Ayubcha
- Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA; Harvard Medical School, 25 Shattuck Street, Boston, MA 02115, USA
| | - Donald K Detchou
- Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA; Perelman School of Medicine at the University of Pennsylvania, 3400 Civic Center Boulevard, Philadelphia, PA 19104, USA
| | - Thomas J Werner
- Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA
| | - Mona-Elisabeth Revheim
- Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA; Division of Radiology and Nuclear Medicine, Oslo University Hospital, Sognsvannsveien 20, Oslo 0372, Norway; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Problemveien 7, Oslo 0315, Norway
| | - Abass Alavi
- Department of Radiology, Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA.
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26
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Galldiks N, Kocher M, Ceccon G, Werner JM, Brunn A, Deckert M, Pope WB, Soffietti R, Le Rhun E, Weller M, Tonn JC, Fink GR, Langen KJ. Imaging challenges of immunotherapy and targeted therapy in patients with brain metastases: response, progression, and pseudoprogression. Neuro Oncol 2021; 22:17-30. [PMID: 31437274 DOI: 10.1093/neuonc/noz147] [Citation(s) in RCA: 79] [Impact Index Per Article: 26.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
The advent of immunotherapy using immune checkpoint inhibitors (ICIs) and targeted therapy (TT) has dramatically improved the prognosis of various cancer types. However, following ICI therapy or TT-either alone (especially ICI) or in combination with radiotherapy-imaging findings on anatomical contrast-enhanced MRI can be unpredictable and highly variable, and are often difficult to interpret regarding treatment response and outcome. This review aims at summarizing the imaging challenges related to TT and ICI monotherapy as well as combined with radiotherapy in patients with brain metastases, and to give an overview on advanced imaging techniques which potentially overcome some of these imaging challenges. Currently, major evidence suggests that imaging parameters especially derived from amino acid PET, perfusion-/diffusion-weighted MRI, or MR spectroscopy may provide valuable additional information for the differentiation of treatment-induced changes from brain metastases recurrence and the evaluation of treatment response.
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Affiliation(s)
- Norbert Galldiks
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.,Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany.,Center of Integrated Oncology, Universities of Aachen, Bonn, Cologne, and Düsseldorf, Germany
| | - Martin Kocher
- Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany.,Department of Stereotaxy and Functional Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Garry Ceccon
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Jan-Michael Werner
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Anna Brunn
- Institute of Neuropathology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Martina Deckert
- Institute of Neuropathology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Whitney B Pope
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA
| | - Riccardo Soffietti
- Department of Neuro-Oncology, University and City of Health and Science Hospital, Turin, Italy
| | - Emilie Le Rhun
- Neuro-Oncology, General and Stereotaxic Neurosurgery Service, University Hospital Lille, Lille, France.,Breast Cancer Department, Oscar Lambret Center, Lille, France.,Department of Neurology & Brain Tumor Center, University Hospital and University of Zurich, Zurich, Switzerland
| | - Michael Weller
- Department of Neurology & Brain Tumor Center, University Hospital and University of Zurich, Zurich, Switzerland
| | - Jörg C Tonn
- Department of Neurosurgery, Ludwig Maximilians University of Munich, Munich, Germany.,German Cancer Consortium, partner site Munich, Germany
| | - Gereon R Fink
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.,Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany
| | - Karl-Josef Langen
- Institute of Neuroscience and Medicine, Research Center Juelich, Juelich, Germany.,Department of Nuclear Medicine, University Hospital Aachen, Aachen, Germany
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27
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Carr CM, Benson JC, DeLone DR, Diehn FE, Kim DK, Merrell KW, Nagelschneider AA, Madhavan AA, Johnson DR. Intracranial long-term complications of radiation therapy: an image-based review. Neuroradiology 2021; 63:471-482. [PMID: 33392738 DOI: 10.1007/s00234-020-02621-7] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Accepted: 12/08/2020] [Indexed: 11/28/2022]
Abstract
BACKGROUND AND PURPOSE Radiation therapy is commonly utilized in the majority of solid cancers and many hematologic malignancies and other disorders. While it has an undeniably major role in improving cancer survival, radiation therapy has long been recognized to have various negative effects, ranging from mild to severe. In this manuscript, we review several intracranial manifestations of therapeutic radiation, with particular attention to those that may be encountered by radiologists. METHODS We conducted an extensive literature review of known complications of intracranial radiation therapy. Based on this review, we selected complications that had salient, recognizable imaging findings. We searched our imaging database for illustrative examples of these complications, focusing only on patients who had a history of intracranial radiation therapy. We then selected cases that best exemplified expected imaging findings in these entities. RESULTS Based on our initial literature search and imaging database review, we selected cases of radiation-induced meningioma, radiation-induced glioma, cavernous malformation, enlarging perivascular spaces, leukoencephalopathy, stroke-like migraine after radiation therapy, Moyamoya syndrome, radiation necrosis, radiation-induced labyrinthitis, optic neuropathy, and retinopathy. Although retinopathy is not typically apparent on imaging, it has been included given its clinical overlap with optic neuropathy. CONCLUSIONS We describe the clinical and imaging features of selected sequelae of intracranial radiation therapy, with a focus on those most relevant to practicing radiologists. Knowledge of these complications and their imaging findings is important, because radiologists play a key role in early detection of these entities.
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Affiliation(s)
- Carrie M Carr
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - John C Benson
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - David R DeLone
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Felix E Diehn
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Dong Kun Kim
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | | | - Alex A Nagelschneider
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Ajay A Madhavan
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
| | - Derek R Johnson
- Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
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28
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Aasen SN, Espedal H, Keunen O, Adamsen TCH, Bjerkvig R, Thorsen F. Current landscape and future perspectives in preclinical MR and PET imaging of brain metastasis. Neurooncol Adv 2021; 3:vdab151. [PMID: 34988446 PMCID: PMC8704384 DOI: 10.1093/noajnl/vdab151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Brain metastasis (BM) is a major cause of cancer patient morbidity. Clinical magnetic resonance imaging (MRI) and positron emission tomography (PET) represent important resources to assess tumor progression and treatment responses. In preclinical research, anatomical MRI and to some extent functional MRI have frequently been used to assess tumor progression. In contrast, PET has only to a limited extent been used in animal BM research. A considerable culprit is that results from most preclinical studies have shown little impact on the implementation of new treatment strategies in the clinic. This emphasizes the need for the development of robust, high-quality preclinical imaging strategies with potential for clinical translation. This review focuses on advanced preclinical MRI and PET imaging methods for BM, describing their applications in the context of what has been done in the clinic. The strengths and shortcomings of each technology are presented, and recommendations for future directions in the development of the individual imaging modalities are suggested. Finally, we highlight recent developments in quantitative MRI and PET, the use of radiomics and multimodal imaging, and the need for a standardization of imaging technologies and protocols between preclinical centers.
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Affiliation(s)
- Synnøve Nymark Aasen
- Department of Biomedicine, University of Bergen, Bergen, Norway
- Department of Health and Functioning, Western Norway University of Applied Sciences, Bergen, Norway
| | - Heidi Espedal
- The Molecular Imaging Center, Department of Biomedicine, University of Bergen, Bergen, Norway
- Mohn Medical Imaging and Visualization Centre, Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Olivier Keunen
- Translational Radiomics, Department of Oncology, Luxembourg Institute of Health, Luxembourg, Luxembourg
| | - Tom Christian Holm Adamsen
- Centre for Nuclear Medicine, Department of Radiology, Haukeland University Hospital, Bergen, Norway
- 180 °N – Bergen Tracer Development Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway
- Department of Chemistry, University of Bergen, Bergen, Norway
| | - Rolf Bjerkvig
- Department of Biomedicine, University of Bergen, Bergen, Norway
- NorLux Neuro-Oncology Laboratory, Department of Oncology, Luxembourg Institute of Health, Luxembourg, Luxembourg
| | - Frits Thorsen
- Department of Biomedicine, University of Bergen, Bergen, Norway
- The Molecular Imaging Center, Department of Biomedicine, University of Bergen, Bergen, Norway
- Department of Neurosurgery, Qilu Hospital of Shandong University and Brain Science Research Institute, Shandong University, Key Laboratory of Brain Functional Remodeling, Shandong, Jinan, P.R. China
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29
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Parent EE, Patel D, Nye JA, Li Z, Olson JJ, Schuster DM, Goodman MM. [ 18F]-Fluciclovine PET discrimination of recurrent intracranial metastatic disease from radiation necrosis. EJNMMI Res 2020; 10:148. [PMID: 33284388 PMCID: PMC7721921 DOI: 10.1186/s13550-020-00739-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Accepted: 11/24/2020] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Stereotactic radiosurgery (SRS) is often the primary treatment modality for patients with intracranial metastatic disease. Despite advances in magnetic resonance imaging, including use of perfusion and diffusion sequences and molecular imaging, distinguishing radiation necrosis from progressive tumor remains a diagnostic and clinical challenge. We investigated the sensitivity and specificity of 18F-fluciclovine PET to accurately distinguish radiation necrosis from recurrent intracranial metastatic disease in patients who had previously undergone SRS. METHODS Fluciclovine PET imaging was performed in 8 patients with a total of 15 lesions that had previously undergone SRS and had subsequent MRI and clinical features suspicious for recurrent disease. The SUVmax of each lesion and the contralateral normal brain parenchyma were summated and evaluated at four different time points (5 min, 10 min, 30 min, and 55 min). Lesions were characterized as either recurrent disease (11 of 15 lesions) or radiation necrosis (4 of 15 lesions) and confirmed with histopathological correlation (7 lesions) or through serial MRI studies (8 lesions). RESULTS Time activity curve analysis found statistically greater radiotracer accumulation for all lesions, including radiation necrosis, when compared to contralateral normal brain. While the mean and median SUVmax for recurrent disease were statistically greater than those of radiation necrosis at all time points, the difference was more significant at the earlier time points (p = 0.004 at 5 min-0.025 at 55 min). Using a SUVmax threshold of ≥ 1.3, fluciclovine PET demonstrated a 100% accuracy in distinguishing recurrent disease from radiation necrosis up to 30 min after injection and an accuracy of 87% (sensitivity = 0.91, specificity = 0.75) at the last time point of 55 min. However, tumor-to-background ratios (TBRmax) were not significantly different between recurrent disease and radiation necrosis at any time point due to variable levels of fluciclovine uptake in the background brain parenchyma. CONCLUSIONS Fluciclovine PET may play an important role in distinguishing active intracranial metastatic lesions from radiation necrosis in patients previously treated with SRS but needs to be validated in larger studies.
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Affiliation(s)
| | - Dhruv Patel
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, 1841 Clifton Rd. NE, 2nd Floor, Atlanta, GA, 30329, USA
| | - Jonathon A Nye
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, 1841 Clifton Rd. NE, 2nd Floor, Atlanta, GA, 30329, USA
| | - Zhuo Li
- Department of Statistics, Mayo Clinic, Jacksonville, USA
| | - Jeffrey J Olson
- Department of Neurosurgery, Emory University School of Medicine, Atlanta, GA, USA
| | - David M Schuster
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, 1841 Clifton Rd. NE, 2nd Floor, Atlanta, GA, 30329, USA
| | - Mark M Goodman
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, 1841 Clifton Rd. NE, 2nd Floor, Atlanta, GA, 30329, USA.
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30
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Liermann J, Winkler JK, Syed M, Neuberger U, Reuss D, Harrabi S, Naumann P, Ristau J, Weykamp F, El Shafie RA, König L, Debus J, Hassel J, Rieken S. Stereotactic Radiosurgery With Concurrent Immunotherapy in Melanoma Brain Metastases Is Feasible and Effective. Front Oncol 2020; 10:592796. [PMID: 33178618 PMCID: PMC7593445 DOI: 10.3389/fonc.2020.592796] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2020] [Accepted: 09/09/2020] [Indexed: 12/25/2022] Open
Abstract
Objective: Stereotactic radiosurgery (SRS) is an established treatment for brain metastases in the management of metastasized melanoma. The increasing use of checkpoint inhibitors in melanoma therapy leads to combined treatment schemes consisting of immunotherapy and SRS that need to be evaluated regarding safety and feasibility. Methods: We retrospectively analyzed 36 patients suffering from cerebral metastasized melanoma. Between November 2011 and May 2016, altogether 66 brain metastases were treated with single-fraction SRS (18-20 Gy prescribed to the 80% isodose) in combination with a checkpoint inhibitor (ipilimumab: 82%, pembrolizumab: 14% or nivolumab: 4%), administered within 3 months before or after SRS. Toxicity was evaluated with focus on the incidence of central nervous system (CNS) radiation necrosis (CRN). Overall survival (OS), freedom from local progression (FFLP), freedom from central nervous system radiation necrosis (FFCRN), and freedom from distant intracranial progression (FFDIP) were analyzed using the Kaplan-Meier method. Results: The median follow-up was 25 months (range: 2-115 months). Two patients (6%) presented with cerebral edema CTCAE °III and another two patients (6%) presented with one-sided muscle weakness CTCAE °III after SRS. One of these four symptomatic cases correlated with an observed CRN, the other three symptomatic cases were related to local tumor progression (n = 2) or related to the performance of additional whole brain radiotherapy (WBRT). No further CTCAE °III or °IV toxicity was seen. During follow-up, seven of the growing contrast-enhanced lesions were resected, revealing two cases of CRN and five cases of local tumor progression. Altogether, the observed CRN rate of the irradiated metastases was 6-17% at the time of analysis, ranging due to the radiologically challenging differentiation between CRN and local tumor progression. The observed ranges of the 1- and 2-years FFLP rates were 82-85% and 73-80%, respectively. The median FFDIP was 6.1 months, the median OS was 22.2 months. Conclusion: In the presented cohort, the combination of SRS and checkpoint inhibitors in the management of cerebral metastasized melanoma was safe and effective. Compared to historic data on SRS only, the observed CRN rate was acceptable. To gain resilient data on the incidence of CRN after combined treatment schemes, prospective trials are needed.
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Affiliation(s)
- Jakob Liermann
- Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany.,Heidelberg Institute of Radiation Oncology (HIRO), Heidelberg, Germany.,Heidelberg Ion-Beam Therapy Center (HIT), Heidelberg, Germany
| | - Julia K Winkler
- National Center for Tumor Diseases (NCT), Heidelberg, Germany.,Department of Dermatology, Heidelberg University Hospital, Heidelberg, Germany
| | - Mustafa Syed
- Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany.,Heidelberg Institute of Radiation Oncology (HIRO), Heidelberg, Germany
| | - Ulf Neuberger
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
| | - David Reuss
- Heidelberg University Hospital, Institute of Pathology, Heidelberg, Germany
| | - Semi Harrabi
- Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany.,Heidelberg Institute of Radiation Oncology (HIRO), Heidelberg, Germany.,Heidelberg Ion-Beam Therapy Center (HIT), Heidelberg, Germany
| | - Patrick Naumann
- Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany.,Heidelberg Institute of Radiation Oncology (HIRO), Heidelberg, Germany.,Heidelberg Ion-Beam Therapy Center (HIT), Heidelberg, Germany
| | - Jonas Ristau
- Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany.,Heidelberg Institute of Radiation Oncology (HIRO), Heidelberg, Germany
| | - Fabian Weykamp
- Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany.,Heidelberg Institute of Radiation Oncology (HIRO), Heidelberg, Germany
| | - Rami A El Shafie
- Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany.,Heidelberg Institute of Radiation Oncology (HIRO), Heidelberg, Germany
| | - Laila König
- Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany.,Heidelberg Institute of Radiation Oncology (HIRO), Heidelberg, Germany
| | - Jürgen Debus
- Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany.,Heidelberg Institute of Radiation Oncology (HIRO), Heidelberg, Germany.,Heidelberg Ion-Beam Therapy Center (HIT), Heidelberg, Germany.,National Center for Tumor Diseases (NCT), Heidelberg, Germany.,Clinical Cooperation Unit Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany.,German Cancer Consortium (DKTK), Partner Site Heidelberg, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jessica Hassel
- National Center for Tumor Diseases (NCT), Heidelberg, Germany.,Department of Dermatology, Heidelberg University Hospital, Heidelberg, Germany
| | - Stefan Rieken
- Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany.,Heidelberg Institute of Radiation Oncology (HIRO), Heidelberg, Germany
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31
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Chan AT, Fox J, Perez Johnston R, Kim J, Brouwer LR, Grizzard J, Kim RJ, Matasar M, Shia J, Moskowitz CS, Steingart R, Weinsaft JW. Late Gadolinium Enhancement Cardiac Magnetic Resonance Tissue Characterization for Cancer-Associated Cardiac Masses: Metabolic and Prognostic Manifestations in Relation to Whole-Body Positron Emission Tomography. J Am Heart Assoc 2020; 8:e011709. [PMID: 31072171 PMCID: PMC6585339 DOI: 10.1161/jaha.118.011709] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Background Cardiac magnetic resonance (CMR) differentiates neoplasm from thrombus via contrast enhancement; positron emission tomography (PET) assesses metabolism. The relationship between CMR contrast enhancement and metabolism on PET is unknown. Methods and Results The population included 121 cancer patients undergoing CMR and 18F‐fluorodeoxyglucose (18F‐FDG)–PET, including 66 with cardiac masses and cancer‐matched controls. Cardiac mass etiology (neoplasm, thrombus) on CMR was defined by late gadolinium enhancement; PET was read blinded to CMR for diagnostic performance, then colocalized to measure FDG avidity. Of CMR‐evidenced thrombi (all nonenhancing), none were detected by PET. For neoplasm, PET yielded reasonable sensitivity (70–83%) and specificity (75–88%). Lesions undetected by PET were more likely to be highly mobile (P=0.001) despite similar size (P=0.33). Among nonmobile neoplasms, PET sensitivity varied in relation to extent of CMR‐evidenced avascularity; detection of diffusely enhancing or mixed lesions was higher versus predominantly avascular neoplasms (87% versus 63%). Colocalized analyses demonstrated 2‐ to 4‐fold higher FDG uptake in neoplasm versus thrombus (P<0.001); FDG uptake decreased stepwise when neoplasms were partitioned based on extent of avascularity on late gadolinium enhancement CMR (P≤0.001). Among patients with neoplasm, signal‐to‐noise ratio on late gadolinium enhancement CMR moderately correlated with standardized uptake values on PET (r=0.42–0.49, P<0.05). Mortality was higher among patients with CMR‐evidenced neoplasm versus controls (hazard ratio: 1.99 [95% CI, 1.1–3.6]; P=0.03) despite nonsignificant differences when partitioned via FDG avidity (hazard ratio: 1.56 [95% CI, 0.85–2.74]; P=0.16). Among FDG‐positive neoplasms detected concordantly with CMR, mortality risk versus cancer‐matched controls was equivalently increased (hazard ratio: 2.12 [95% CI, 1.01–4.44]; P=0.047). Conclusions CMR contrast enhancement provides a criterion for neoplasm that parallels FDG‐evidenced metabolic activity and stratifies prognosis. Extent of tissue avascularity on late gadolinium enhancement CMR affects cardiac mass identification by FDG‐PET.
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Affiliation(s)
- Angel T Chan
- 1 Department of Medicine Memorial Sloan Kettering Cancer Center New York NY.,2 Department of Radiology Memorial Sloan Kettering Cancer Center New York NY.,5 Department of Medicine Icahn School of Medicine at Mt. Sinai New York NY
| | - Josef Fox
- 2 Department of Radiology Memorial Sloan Kettering Cancer Center New York NY
| | | | - Jiwon Kim
- 6 Departments of Medicine and Radiology Weill Cornell Medical College New York NY
| | - Lillian R Brouwer
- 6 Departments of Medicine and Radiology Weill Cornell Medical College New York NY
| | - John Grizzard
- 7 Department of Radiology Virginia Commonwealth University Richmond VA
| | - Raymond J Kim
- 8 Duke Cardiovascular Magnetic Resonance Center Durham NC
| | - Mathew Matasar
- 1 Department of Medicine Memorial Sloan Kettering Cancer Center New York NY
| | - Jinru Shia
- 3 Department of Pathology Memorial Sloan Kettering Cancer Center New York NY
| | - Chaya S Moskowitz
- 4 Department of Epidemiology/Biostatistics Memorial Sloan Kettering Cancer Center New York NY
| | - Richard Steingart
- 1 Department of Medicine Memorial Sloan Kettering Cancer Center New York NY
| | - Jonathan W Weinsaft
- 1 Department of Medicine Memorial Sloan Kettering Cancer Center New York NY.,2 Department of Radiology Memorial Sloan Kettering Cancer Center New York NY.,6 Departments of Medicine and Radiology Weill Cornell Medical College New York NY
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32
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Galldiks N, Langen KJ, Albert NL, Chamberlain M, Soffietti R, Kim MM, Law I, Le Rhun E, Chang S, Schwarting J, Combs SE, Preusser M, Forsyth P, Pope W, Weller M, Tonn JC. PET imaging in patients with brain metastasis-report of the RANO/PET group. Neuro Oncol 2020; 21:585-595. [PMID: 30615138 DOI: 10.1093/neuonc/noz003] [Citation(s) in RCA: 115] [Impact Index Per Article: 28.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2018] [Revised: 10/11/2018] [Accepted: 01/03/2019] [Indexed: 12/23/2022] Open
Abstract
Brain metastases (BM) from extracranial cancer are associated with significant morbidity and mortality. Effective local treatment options are stereotactic radiotherapy, including radiosurgery or fractionated external beam radiotherapy, and surgical resection. The use of systemic treatment for intracranial disease control also is improving. BM diagnosis, treatment planning, and follow-up is most often based on contrast-enhanced magnetic resonance imaging (MRI). However, anatomic imaging modalities including standard MRI have limitations in accurately characterizing posttherapeutic reactive changes and treatment response. Molecular imaging techniques such as positron emission tomography (PET) characterize specific metabolic and cellular features of metastases, potentially providing clinically relevant information supplementing anatomic MRI. Here, the Response Assessment in Neuro-Oncology working group provides recommendations for the use of PET imaging in the clinical management of patients with BM based on evidence from studies validated by histology and/or clinical outcome.
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Affiliation(s)
- Norbert Galldiks
- Department of Neurology, University Hospital Cologne, Cologne, Germany.,Institute of Neuroscience and Medicine 3, 4, Research Center Juelich, Juelich, Germany.,Center of Integrated Oncology, Universities of Cologne and Bonn, Cologne, Germany
| | - Karl-Josef Langen
- Institute of Neuroscience and Medicine 3, 4, Research Center Juelich, Juelich, Germany.,Department of Nuclear Medicine, University Hospital Aachen, Aachen, Germany
| | - Nathalie L Albert
- Department of Nuclear Medicine, Ludwig Maximilians-University of Munich, Munich, Germany
| | - Marc Chamberlain
- Departments of Neurology and Neurological Surgery, Fred Hutchinson Cancer Research Center, University of Washington, Seattle, Washington, USA
| | - Riccardo Soffietti
- Department of Neuro-Oncology, University and City of Health and Science Hospital, Turin, Italy
| | - Michelle M Kim
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan, USA
| | - Ian Law
- Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, University of Copenhagen, Denmark
| | - Emilie Le Rhun
- Department of Neurosurgery, University Hospital Lille, Lille, France
| | - Susan Chang
- Department of Neurosurgery, University of California, San Francisco, California, USA
| | - Julian Schwarting
- Department of Neurosurgery, Ludwig Maximilians-University of Munich, Munich, Germany.,German Cancer Consortium, Partner Site Munich, Germany
| | - Stephanie E Combs
- Department of Radiation Oncology, Technical University Munich, Munich, Germany
| | - Matthias Preusser
- Department of Medicine I and Comprehensive Cancer Centre CNS Tumours Unit, Medical University of Vienna, Vienna, Austria
| | - Peter Forsyth
- Moffitt Cancer Center, University of South Florida, Tampa, Florida, USA
| | - Whitney Pope
- Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, California , USA
| | - Michael Weller
- Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland
| | - Jörg C Tonn
- Department of Neurosurgery, Ludwig Maximilians-University of Munich, Munich, Germany.,German Cancer Consortium, Partner Site Munich, Germany
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33
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Lee D, Riestenberg RA, Haskell-Mendoza A, Bloch O. Brain Metastasis Recurrence Versus Radiation Necrosis: Evaluation and Treatment. Neurosurg Clin N Am 2020; 31:575-587. [PMID: 32921353 DOI: 10.1016/j.nec.2020.06.007] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Radiation necrosis (RN) occurs in 5% to 25% of patients with brain metastases treated with stereotactic radiosurgery. RN must be distinguished from recurrent tumor to determine appropriate treatment. Stereotactic biopsy remains the gold standard for identifying RN. Initial treatment of RN often involves management of edema using corticosteroids, antiangiogenic therapies, and hyperbaric oxygen therapy. For refractory symptoms, surgical resection can be considered. Minimally invasive stereotactic laser ablation has the benefit of providing tissue diagnosis and treating RN or recurrent tumor with similar efficacy. Laser ablation should be considered for lesions in need of intervention where the diagnosis requires tissue confirmation.
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Affiliation(s)
- Dennis Lee
- Department of Neurological Surgery, University of California Davis, 4860 Y Street, Suite 3740, Sacramento, CA 95817, USA
| | - Robert A Riestenberg
- Department of Neurological Surgery, University of California Davis, 4860 Y Street, Suite 3740, Sacramento, CA 95817, USA
| | - Aden Haskell-Mendoza
- Department of Neurological Surgery, University of California Davis, 4860 Y Street, Suite 3740, Sacramento, CA 95817, USA
| | - Orin Bloch
- Department of Neurological Surgery, University of California, Davis School of Medicine, University of California Davis, 4860 Y Street, Suite 3740, Sacramento, CA 95817, USA.
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34
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Ponisio MR, McConathy JE, Dahiya SM, Miller-Thomas MM, Rich KM, Salter A, Wang Q, LaMontagne PJ, Guzmán Pérez-Carrillo GJ, Benzinger TLS. Dynamic 18F-FDOPA-PET/MRI for the preoperative evaluation of gliomas: correlation with stereotactic histopathology. Neurooncol Pract 2020; 7:656-667. [PMID: 33312679 DOI: 10.1093/nop/npaa044] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Abstract
Background MRI alone has limited accuracy for delineating tumor margins and poorly predicts the aggressiveness of gliomas, especially when tumors do not enhance. This study evaluated simultaneous 3,4-dihydroxy-6-[18F]fluoro-L-phenylalanine (FDOPA)-PET/MRI to define tumor volumes compared to MRI alone more accurately, assessed its role in patient management, and correlated PET findings with histopathology. Methods Ten patients with known or suspected gliomas underwent standard of care surgical resection and/or stereotactic biopsy. FDOPA-PET/MRI was performed prior to surgery, allowing for precise co-registration of PET, MR, and biopsies. The biopsy sites were modeled as 5-mm spheres, and the local FDOPA uptake at each site was determined. Correlations were performed between measures of tumor histopathology, and static and dynamic PET values: standardized uptake values (SUVs), tumor to brain ratios, metabolic tumor volumes, and tracer kinetics at volumes of interest (VOIs) and biopsy sites. Results Tumor FDOPA-PET uptake was visualized in 8 patients. In 2 patients, tracer uptake was similar to normal brain reference with no histological findings of malignancy. Eight biopsy sites confirmed for glioma had FDOPA uptake without T1 contrast enhancement. The PET parameters were highly correlated only with the cell proliferation marker, Ki-67 (SUVmax: r = 0.985, P = .002). In this study, no statistically significant difference between high-grade and low-grade tumors was demonstrated. The dynamic PET analysis of VOIs and biopsy sites showed decreasing time-activity curves patterns. FDOPA-PET imaging directly influenced patient management. Conclusions Simultaneous FDOPA-PET/MRI allowed for more accurate visualization and delineation of gliomas, enabling more appropriate patient management and simplified validation of PET findings with histopathology.
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Affiliation(s)
- Maria R Ponisio
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Missouri
| | - Jonathan E McConathy
- Department of Radiology, Division of Molecular Imaging and Therapeutics, The University of Alabama at Birmingham, Birmingham, Alabama
| | - Sonika M Dahiya
- Department of Pathology and Immunology, Washington University School of Medicine, St Louis, Missouri
| | - Michelle M Miller-Thomas
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Missouri
| | - Keith M Rich
- Department of Neurosurgery, Washington University School of Medicine, St Louis, Missouri
| | - Amber Salter
- Department of Biostatistics, Washington University School of Medicine, St Louis, Missouri
| | - Qing Wang
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Missouri
| | - Pamela J LaMontagne
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Missouri
| | | | - Tammie L S Benzinger
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Missouri
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35
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Remick JS, Kowalski E, Khairnar R, Sun K, Morse E, Cherng HRR, Poirier Y, Lamichhane N, Becker SJ, Chen S, Patel AN, Kwok Y, Nichols E, Mohindra P, Woodworth GF, Regine WF, Mishra MV. A multi-center analysis of single-fraction versus hypofractionated stereotactic radiosurgery for the treatment of brain metastasis. Radiat Oncol 2020; 15:128. [PMID: 32466775 PMCID: PMC7257186 DOI: 10.1186/s13014-020-01522-6] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2019] [Accepted: 03/24/2020] [Indexed: 12/22/2022] Open
Abstract
Background Hypofractionated-SRS (HF-SRS) may allow for improved local control and a reduced risk of radiation necrosis compared to single-fraction-SRS (SF-SRS). However, data comparing these two treatment approaches are limited. The purpose of this study was to compare clinical outcomes between SF-SRS versus HF-SRS across our multi-center academic network. Methods Patients treated with SF-SRS or HF-SRS for brain metastasis from 2013 to 2018 across 5 radiation oncology centers were retrospectively reviewed. SF-SRS dosing was standardized, whereas HF-SRS dosing regimens were variable. The co-primary endpoints of local control and radiation necrosis were estimated using the Kaplan Meier method. Multivariate analysis using Cox proportional hazards modeling was performed to evaluate the impact of select independent variables on the outcomes of interest. Propensity score adjustments were used to reduce the effects confounding variables. To assess dose response for HF-SRS, Biologic Effective Dose (BED) assuming an α/β of 10 (BED10) was used as a surrogate for total dose. Results One-hundred and fifty six patients with 335 brain metastasis treated with SF-SRS (n = 222 lesions) or HF-SRS (n = 113 lesions) were included. Prior whole brain radiation was given in 33% (n = 74) and 34% (n = 38) of lesions treated with SF-SRS and HF-SRS, respectively (p = 0.30). After a median follow up time of 12 months in each cohort, the adjusted 1-year rate of local control and incidence of radiation necrosis was 91% (95% CI 86–96%) and 85% (95% CI 75–95%) (p = 0.26) and 10% (95% CI 5–15%) and 7% (95% CI 0.1–14%) (p = 0.73) for SF-SRS and HF-SRS, respectively. For lesions > 2 cm, the adjusted 1 year local control was 97% (95% CI 84–100%) for SF-SRS and 64% (95% CI 43–85%) for HF-SRS (p = 0.06). On multivariate analysis, SRS fractionation was not associated with local control and only size ≤2 cm was associated with a decreased risk of developing radiation necrosis (HR 0.21; 95% CI 0.07–0.58, p < 0.01). For HF-SRS, 1 year local control was 100% for lesions treated with a BED10 ≥ 50 compared to 77% (95% CI 65–88%) for lesions that received a BED10 < 50 (p = 0.09). Conclusions In this comparison study of dose fractionation for the treatment of brain metastases, there was no difference in local control or radiation necrosis between HF-SRS and SF-SRS. For HF-SRS, a BED10 ≥ 50 may improve local control.
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Affiliation(s)
- Jill S Remick
- Department of Radiation Oncology, University of Maryland Medical Center, Baltimore, MD, USA
| | - Emily Kowalski
- Department of Radiation Oncology, University of Maryland Medical Center, Baltimore, MD, USA
| | - Rahul Khairnar
- Department of Pharmaceutical Health Services Research, University of Maryland School of Pharmacy, Baltimore, MD, USA
| | - Kai Sun
- Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Emily Morse
- Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Hua-Ren R Cherng
- Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Yannick Poirier
- Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Narottam Lamichhane
- Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Stewart J Becker
- Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Shifeng Chen
- Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Akshar N Patel
- Chesapeake Oncology Hematology Associates, Glen Bernie, MD, USA
| | - Young Kwok
- Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Elizabeth Nichols
- Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Pranshu Mohindra
- Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Graeme F Woodworth
- Department of Neurosurgery, University of Maryland School of Medicine, Baltimore, MD, USA
| | - William F Regine
- Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Mark V Mishra
- Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, USA.
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36
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Eastman BM, Venur VA, Lo SS, Graber JJ. Stereotactic radiosurgery in the treatment of adults with metastatic brain tumors. J Neurosurg Sci 2020; 64:272-286. [PMID: 32270945 DOI: 10.23736/s0390-5616.20.04952-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Brain metastasis is the most common type of intracranial tumor affecting a significant proportion of advanced cancer patients. In recent years, stereotactic radiosurgery (SRS) has become commonly utilized. It has contributed significantly to decreased toxicity, prolonged quality of life and general improvement in outcomes of patients with brain metastases. Frequent imaging and advanced treatment techniques have allowed for the treatment of more patients with large and numerous metastases extending their overall survival. The addition of targeted therapy and immunotherapy to SRS has introduced novel treatment paradigms and has further improved our ability to effectively treat brain lesions. In this review, we examined in detail the available evidence for the use of SRS alone or in combination with surgery and systemic therapies. Given our developing understanding of the importance of primary tumor histology, the use of different treatment strategies for different metastasis is evolving. Combining SRS with immunotherapy and targeted therapy in breast cancer, lung cancer and melanoma as well as the use of preoperative SRS have shown significant promise in recent years and are investigated in multiple ongoing prospective trials. Further research is needed to guide the optimal sequence of therapies and to identify specific patient subgroups that may benefit the most from aggressive, combined treatment approaches.
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Affiliation(s)
- Boryana M Eastman
- Department of Radiation Oncology, University of Washington School of Medicine, Seattle, WA, USA
| | - Vyshak A Venur
- Division of Medical Oncology, University of Washington School of Medicine, Seattle, WA, USA
| | - Simon S Lo
- Department of Radiation Oncology, University of Washington School of Medicine, Seattle, WA, USA
| | - Jerome J Graber
- Department of Neurology and Neurosurgery, Alvord Brain Tumor Center, University of Washington School of Medicine, Seattle, WA, USA -
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37
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Human biodistribution and radiation dosimetry of [ 18F]DASA-23, a PET probe targeting pyruvate kinase M2. Eur J Nucl Med Mol Imaging 2020; 47:2123-2130. [PMID: 31938892 DOI: 10.1007/s00259-020-04687-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Accepted: 01/05/2020] [Indexed: 02/06/2023]
Abstract
PURPOSE To assess the safety, biodistribution, and radiation dosimetry of the novel positron emission tomography (PET) radiopharmaceutical 1-((2-fluoro-6-[[18F]]fluorophenyl)sulfonyl)-4-((4-methoxyphenyl)sulfonyl)piperazine ([18F]DASA-23) in healthy volunteers. METHODS We recruited 5 healthy volunteers who provided a written informed consent. Volunteers were injected with 295.0 ± 8.2 MBq of [18F]DASA-23 intravenously. Immediately following injection, a dynamic scan of the brain was acquired for 15 min. This was followed by serial whole-body PET/MRI scans acquired up to 3 h post-injection. Blood samples were collected at regular intervals, and vital signs monitored pre- and post-radiotracer administration. Regions of interest were drawn around multiple organs, time-activity curves were calculated, and organ uptake and dosimetry were estimated with OLINDA/EXM (version 1.1) software. RESULTS All subjects tolerated the PET/MRI examination, without adverse reactions to [18F]DASA-23. [18F]DASA-23 passively crossed the blood-brain barrier, followed by rapid clearance from the brain. High accumulation of [18F]DASA-23 was noted in organs such as the gallbladder, liver, small intestine, and urinary bladder, suggesting hepatobiliary and urinary clearance. The effective dose of [18F]DASA-23 was 23.5 ± 5.8 μSv/MBq. CONCLUSION We successfully completed a pilot first-in-human study of [18F]DASA-23. Our results indicate that [18F]DASA-23 can be used safely in humans to evaluate pyruvate kinase M2 levels. Ongoing studies are evaluating the ability of [18F]DASA-23 to visualize intracranial malignancies, NCT03539731. TRIAL REGISTRATION ClinicalTrials.gov , NCT03539731 (registered 28 May 2018).
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18F-Fluorocholine PET uptake correlates with pathologic evidence of recurrent tumor after stereotactic radiosurgery for brain metastases. Eur J Nucl Med Mol Imaging 2019; 47:1446-1457. [PMID: 31865407 DOI: 10.1007/s00259-019-04628-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2019] [Accepted: 11/18/2019] [Indexed: 12/15/2022]
Abstract
PURPOSE Radiographic changes of brain metastases after stereotactic radiosurgery (SRS) can signify tumor recurrence and/or radiation necrosis (RN); however, standard imaging modalities cannot easily distinguish between these two entities. We investigated whether 18F-Fluorocholine uptake in surgical samples of the resected lesions correlates with pathologic evidence of recurrent tumor and PET imaging. METHODS About 14 patients previously treated with SRS that developed radiographic changes were included. All patients underwent a preoperative 40-min dynamic PET/CT concurrent with 392 ± 11 MBq bolus injection of 18F-Fluorocholine. 18F-Fluorocholine pharmacokinetics were evaluated by standardized uptake value (SUV), graphical analysis (Patlak plot; KiP) and an irreversible two-compartment model (K1, k2, k3, and Ki). 12 out of 14 patients were administered an additional 72 ± 14 MBq injection of 18F-Fluorocholine 95 ± 26 minutes prior to surgical resection. About 113 resected samples from 12 patients were blindly reviewed by a neuropathologist to assess the viable tumor and necrotic content, microvascular proliferation, reactive gliosis, and mono- and polymorphonuclear inflammatory infiltrates. Correlation between these metrics 18F-Fluorocholine SUV was investigated with a linear mixed model. Comparison of survival distributions of two groups of patients (population median split of PET SUVmax) was performed with the log-rank test. RESULTS Exactly 10 out of 12 patients for which surgical samples were acquired exhibited pathologic recurrence. Strong correlation was observed between SUVmax as measured from a surgically removed sample with highest uptake and by PET (Pearson's r = 0.66). Patients with 18F-Fluorocholine PET SUVmax > 6 experienced poor survival. Surgical samples with viable tumor had higher 18F-fluorocholine uptake (SUV) than those without tumor (4.5 ± 3.7 and 2.6 ± 3.0; p = 0.01). 18F-fluorocholine count data from surgical samples is driven not only by the percentage viable tumor but also by the degree of inflammation and reactive gliosis (p ≤ 0.02; multivariate regression). CONCLUSIONS 18F-Fluorocholine accumulation is increased in viable tumor; however, inflammation and gliosis may also lead to elevated uptake. Higher 18F-Fluorocholine PET uptake portends worse prognosis. Kinetic analysis of dynamic 18F-Fluorocholine PET imaging supports the adequacy of the simpler static SUV metric.
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Parent EE, Sethi I, Nye J, Holder C, Olson JJ, Switchenko J, Tade F, Akin-Akintayo OO, Abiodun-Ojo OA, Akintayo A, Schuster DM. 82Rubidium chloride PET discrimination of recurrent intracranial malignancy from radiation necrosis. THE QUARTERLY JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING : OFFICIAL PUBLICATION OF THE ITALIAN ASSOCIATION OF NUCLEAR MEDICINE (AIMN) [AND] THE INTERNATIONAL ASSOCIATION OF RADIOPHARMACOLOGY (IAR), [AND] SECTION OF THE SOCIETY OF... 2019; 66:74-81. [PMID: 31820882 DOI: 10.23736/s1824-4785.19.03173-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND Accurate identification and discrimination of post treatment changes from recurrent disease remains a challenge for patients with intracranial malignancies despite advances in molecular and magnetic resonance imaging. We have explored the ability of readily available Rubidium-82 chloride (82RbCl) PET to identify and distinguish progressive intracranial disease from radiation necrosis in patients previously treated with radiation therapy. METHODS Six patients with a total of 9 lesions of either primary (n=3) or metastatic (n=6) intracranial malignancies previously treated with stereotactic radiation surgery (SRS) and persistent contrast enhancement on MRI underwent brain 82RbCl PET imaging. Two patients with arteriovenous malformations previously treated with SRS, also had brain 82RbCl PET imaging for a total of 11 lesions studied. Histological confirmation via stereotactic biopsy/excisional resection was obtained for 9 lesions with the remaining 2 classified as either recurrent tumor or radiation necrosis based on subsequent MRI examinations. 82RbCl PET time activity curve analysis was performed which comprised lesion SUVmax, contralateral normal brain SUVmax, and tumor to background ratios (TBmax). RESULTS 82RbCl demonstrates uptake greater than normal brain parenchyma in all lesions studied. Time activity curves demonstrated progressive uptake of 82RbCl in all lesions without evidence of washout. While recurrent disease demonstrated a greater mean SUVmax compared to radiation necrosis, no statistically significant difference between lesion SUVmax nor TBmax was found (p>0.05). CONCLUSIONS 82RbCl PET produces high-contrast uptake of both recurrent disease and radiation necrosis compared to normal brain. However, no statistically significant difference was found between recurrent tumor and radiation necrosis.
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Affiliation(s)
| | - Ila Sethi
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, USA -
| | - Jonathon Nye
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Chad Holder
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Jeffrey J Olson
- Department of Neurosurgery, Emory University School of Medicine, Atlanta, GA, USA
| | - Jeffrey Switchenko
- Bioinformatics and Biostatistics Shared Resource, Winship Cancer Institute of Emory, University, Atlanta, GA, USA
| | - Funmilayo Tade
- Department of Radiology, Loyola University, Chicago, IL, USA
| | - Oladunni O Akin-Akintayo
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Olayinka A Abiodun-Ojo
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Akinyemi Akintayo
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - David M Schuster
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, USA
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Verhoeven J, Baguet T, Piron S, Pauwelyn G, Bouckaert C, Descamps B, Raedt R, Vanhove C, De Vos F, Goethals I. 2-[ 18F]FELP, a novel LAT1-specific PET tracer, for the discrimination between glioblastoma, radiation necrosis and inflammation. Nucl Med Biol 2019; 82-83:9-16. [PMID: 31841816 DOI: 10.1016/j.nucmedbio.2019.12.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Revised: 12/04/2019] [Accepted: 12/04/2019] [Indexed: 01/02/2023]
Abstract
INTRODUCTION Considering the need for rapid change of treatment in recurrent glioblastoma (GB), it is of utmost importance to characterize PET radiopharmaceuticals that allow early discrimination of tumor from therapy-related effects. In this study, we examined the value of 2-[18F]FELP as a LAT1 tumor-specific PET tracer in comparison with [18F]FDG and [18F]FET in a combined orthotopic rat radiation necrosis and glioblastoma model. A second experiment compared 2-[18F]FELP to [18F]FDG in a mouse glioblastoma - inflammation model. METHODS Using the small animal radiation research platform (SARRP), radiation necrosis (RN) was induced in the left frontal lobe of the rat brain. When radiation-induced changes were visible on MRI, F98 rat glioblastoma cells were stereotactically inoculated in the contralateral right frontal lobe. When tumor growth was confirmed on MRI, 2-[18F]FELP, [18F]FET and [18F]FDG PET scans were acquired on three consecutive days. In an inflammation experiment, mice were inoculated in the left thigh with U87 human glioblastoma cells. After heterotopic tumor growth was confirmed macroscopically, inflammation was induced by injection of turpentine subcutaneously in the right thigh. Subsequently, 2-[18F]FELP and [18F]FDG scans were acquired on two consecutive days. RESULTS The in vivo PET images demonstrated that 2-[18F]FELP could differentiate glioblastoma and radiation necrosis using SUVmean (p = 0.0016) and LNRmean (p = 0.009), while [18F]FET was only able to differentiate both lesions by means of the SUVmean. (p = 0.047) Delayed [18F]FDGlate PET (4 h postinjection) was also able to distinguish glioblastoma from radiation necrosis, but smaller lesion-to-normal brain ratios were observed (SUVmean: p = 0.009; LNRmean: p = 0.028). In the inflammation study, 2-[18F]FELP showed no significant uptake in the inflammation lesion when compared to the control group (SUVmean: p = 0.149; LNRmean: p = 0.083). In contrast, both conventional and delayed [18F]FDG displayed significant uptake in the turpentine-invoked lesion (SUVmean: p = 0.021; LNRmean: p = 0.021). CONCLUSION This study suggests that the 2-[18F]FELP PET is able to differentiate glioblastoma from radiation necrosis and that the 2-[18F]FELP uptake is less likely to be contaminated by the presence of inflammation than the [18F]FDG signal. ADVANCES IN KNOWLEDGE These results are clinically relevant for the differential diagnosis between tumor and radiation necrosis because radiation necrosis always contains a certain amount of inflammatory cells. Hence, 2-[18F]FELP is preferred to discriminate tumor from radiation necrosis.
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Affiliation(s)
| | - Tristan Baguet
- Laboratory for Radiopharmacy, Ghent University, Ghent, Belgium
| | - Sarah Piron
- Laboratory for Radiopharmacy, Ghent University, Ghent, Belgium
| | - Glenn Pauwelyn
- Laboratory for Radiopharmacy, Ghent University, Ghent, Belgium
| | - Charlotte Bouckaert
- Laboratory for Clinical and Experimental Neurophysiology, Neurobiology and Neuropsychology (LCEN3), Ghent University Hospital, Ghent, Belgium
| | - Benedicte Descamps
- IBiTech-MEDISIP, Department of Electronics and Information Systems, Ghent University, Ghent, Belgium
| | - Robrecht Raedt
- Laboratory for Clinical and Experimental Neurophysiology, Neurobiology and Neuropsychology (LCEN3), Ghent University Hospital, Ghent, Belgium
| | - Christian Vanhove
- IBiTech-MEDISIP, Department of Electronics and Information Systems, Ghent University, Ghent, Belgium
| | - Filip De Vos
- Laboratory for Radiopharmacy, Ghent University, Ghent, Belgium
| | - Ingeborg Goethals
- Department of Nuclear Medicine, Ghent University Hospital, Ghent, Belgium
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Coregistration of Magnetic Resonance and [ 18F] Fludeoxyglucose-Positron Emission Tomography Imaging for Stereotactic Radiation Therapy Planning: Case Report in a Previously Irradiated Brain Metastasis With Recurrent Tumor and Radiation Necrosis. Pract Radiat Oncol 2019; 10:133-137. [PMID: 31790826 DOI: 10.1016/j.prro.2019.11.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2019] [Revised: 10/23/2019] [Accepted: 11/20/2019] [Indexed: 12/28/2022]
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Expanding the Spectrum of Radiation Necrosis After Stereotactic Radiosurgery (SRS) for Intracranial Metastases From Lung Cancer. Am J Clin Oncol 2019; 43:128-132. [DOI: 10.1097/coc.0000000000000642] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
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Galldiks N, Lohmann P, Albert NL, Tonn JC, Langen KJ. Current status of PET imaging in neuro-oncology. Neurooncol Adv 2019; 1:vdz010. [PMID: 32642650 PMCID: PMC7324052 DOI: 10.1093/noajnl/vdz010] [Citation(s) in RCA: 50] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
Over the past decades, a variety of PET tracers have been used for the evaluation of patients with brain tumors. For clinical routine, the most important clinical indications for PET imaging in patients with brain tumors are the identification of neoplastic tissue including the delineation of tumor extent for the further diagnostic and therapeutic management (ie, biopsy, resection, or radiotherapy planning), the assessment of response to a certain anticancer therapy including its (predictive) effect on the patients’ outcome and the differentiation of treatment-related changes (eg, pseudoprogression and radiation necrosis) from tumor progression at follow-up. To serve medical professionals of all disciplines involved in the diagnosis and care of patients with brain tumors, this review summarizes the value of PET imaging for the latter-mentioned 3 clinically relevant indications in patients with glioma, meningioma, and brain metastases.
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Affiliation(s)
- Norbert Galldiks
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany.,Institute of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Juelich, Germany.,Center of Integrated Oncology (CIO), Universities of Aachen, Bonn, Cologne, and Duesseldorf, Germany
| | - Philipp Lohmann
- Institute of Neuroscience and Medicine (INM-3, -4), Research Center Juelich, Juelich, Germany
| | - Nathalie L Albert
- Department of Nuclear Medicine, Ludwig Maximilians-University of Munich, Munich, Germany
| | - Jörg C Tonn
- Department of Neurosurgery, Ludwig Maximilians-University of Munich, Munich, Germany.,German Cancer Consortium (DKTK), Partner Site Munich, Germany
| | - Karl-Josef Langen
- Department of Nuclear Medicine, University Hospital Aachen, Aachen, Germany
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Integrated PET-MRI for Glioma Surveillance: Perfusion-Metabolism Discordance Rate and Association With Molecular Profiling. AJR Am J Roentgenol 2019; 212:883-891. [PMID: 30779663 DOI: 10.2214/ajr.18.20531] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
OBJECTIVE Both 18F-FDG PET and perfusion MRI are commonly used techniques for posttreatment glioma surveillance. Using integrated PET-MRI, we assessed the rate of discordance between simultaneously acquired FDG PET images and dynamic contrast-enhanced (DCE) perfusion MR images and determined whether tumor genetics predicts discordance. MATERIALS AND METHODS Forty-one consecutive patients with high-grade gliomas (20 with grade IV gliomas and 21 with grade III gliomas) underwent a standardized tumor protocol performed using an integrated 3-T PET-MRI scanner. Quantitative measures of standardized uptake value, plasma volume, and permeability were obtained from segmented whole-tumor volumes of interest and targeted ROIs. ROC curve analysis and the Youden index were used to identify optimal cutoffs for FDG PET and DCE-MRI. Two-by-two contingency tables and percent agreement were used to assess accuracy and concordance. Twenty-six patients (63%) from the cohort underwent next-generation sequencing for tumor genetics. RESULTS The best-performing FDG PET and DCE-MRI cutoffs achieved sensitivities of 94% and 91%, respectively; specificities of 56% and 89%, respectively; and accuracies of 80% and 83%, respectively. FDG PET and DCE-MRI findings were discordant for 11 patients (27%), with DCE-MRI findings correct for six of these patients (55%). Tumor grade, tumor volume, bevacizumab exposure, and time since radiation predicted discordance between FDG PET and DCE-MRI findings, with an ROC AUC value of 0.78. Isocitrate dehydrogenase gene and receptor tyrosine kinase gene pathway mutations increased the ROC AUC value to 0.83. CONCLUSION FDG PET and DCE-MRI show comparable accuracy and sensitivity in identifying tumor progression. These modalities were shown to have discordant findings for more than a quarter of the patients assessed. Tumor genetics may contribute to perfusion-metabolism discordance, warranting further investigation.
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Furuse M, Nonoguchi N, Yamada K, Shiga T, Combes JD, Ikeda N, Kawabata S, Kuroiwa T, Miyatake SI. Radiological diagnosis of brain radiation necrosis after cranial irradiation for brain tumor: a systematic review. Radiat Oncol 2019; 14:28. [PMID: 30728041 PMCID: PMC6364413 DOI: 10.1186/s13014-019-1228-x] [Citation(s) in RCA: 49] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2018] [Accepted: 01/20/2019] [Indexed: 11/24/2022] Open
Abstract
Introduction This systematic review aims to elucidate the diagnostic accuracy of radiological examinations to distinguish between brain radiation necrosis (BRN) and tumor progression (TP). Methods We divided diagnostic approaches into two categories as follows—conventional radiological imaging [computed tomography (CT) and magnetic resonance imaging (MRI): review question (RQ) 1] and nuclear medicine studies [single photon emission CT (SPECT) and positron emission tomography (PET): RQ2]—and queried. Our librarians conducted a comprehensive systematic search on PubMed, the Cochrane Library, and the Japan Medical Abstracts Society up to March 2015. We estimated summary statistics using the bivariate random effects model and performed subanalysis by dividing into tumor types—gliomas and metastatic brain tumors. Results Of 188 and 239 records extracted from the database, we included 20 and 26 studies in the analysis for RQ1 and RQ2, respectively. In RQ1, we used gadolinium (Gd)-enhanced MRI, diffusion-weighted image, MR spectroscopy, and perfusion CT/MRI to diagnose BRN in RQ1. In RQ2, 201Tl-, 99mTc-MIBI-, and 99mTc-GHA-SPECT, and 18F-FDG-, 11C-MET-, 18F-FET-, and 18F-BPA-PET were used. In meta-analysis, Gd-enhanced MRI exhibited the lowest sensitivity [63%; 95% confidence interval (CI): 28–89%] and diagnostic odds ratio (DOR), and combined multiple imaging studies displayed the highest sensitivity (96%; 95% CI: 83–99%) and DOR among all imaging studies. In subanalysis for gliomas, Gd-enhanced MRI and 18F-FDG-PET revealed low DOR. Conversely, we observed no difference in DOR among radiological imaging in metastatic brain tumors. However, diagnostic parameters and study subjects often differed among the same imaging studies. All studies enrolled a small number of patients, and only 10 were prospective studies without randomization. Conclusions Differentiating BRN from TP using Gd-enhanced MRI and 18F-FDG-PET is challenging for patients with glioma. Conversely, BRN could be diagnosed by any radiological imaging in metastatic brain tumors. This review suggests that combined multiparametric imaging, including lesional metabolism and blood flow, could enhance diagnostic accuracy, compared with a single imaging study. Nevertheless, a substantial risk of bias and indirectness of reviewed studies hindered drawing firm conclusion about the best imaging technique for diagnosing BRN. Electronic supplementary material The online version of this article (10.1186/s13014-019-1228-x) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Motomasa Furuse
- Department of Neurosurgery, Osaka Medical College, 2-7, Daigakumachi, Takatsuki, Osaka, 569-8686, Japan.
| | - Naosuke Nonoguchi
- Department of Neurosurgery, Osaka Medical College, 2-7, Daigakumachi, Takatsuki, Osaka, 569-8686, Japan
| | - Kei Yamada
- Department of Radiology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Tohru Shiga
- Department of Nuclear Medicine, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | - Jean-Damien Combes
- Infections and Cancer Epidemiology Group, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Naokado Ikeda
- Department of Neurosurgery, Osaka Medical College, 2-7, Daigakumachi, Takatsuki, Osaka, 569-8686, Japan
| | - Shinji Kawabata
- Department of Neurosurgery, Osaka Medical College, 2-7, Daigakumachi, Takatsuki, Osaka, 569-8686, Japan
| | - Toshihiko Kuroiwa
- Department of Neurosurgery, Osaka Medical College, 2-7, Daigakumachi, Takatsuki, Osaka, 569-8686, Japan
| | - Shin-Ichi Miyatake
- Department of Neurosurgery, Osaka Medical College, 2-7, Daigakumachi, Takatsuki, Osaka, 569-8686, Japan
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FDG PET/MRI Coregistration Helps Predict Response to Gamma Knife Radiosurgery in Patients With Brain Metastases. AJR Am J Roentgenol 2018; 212:425-430. [PMID: 30422717 DOI: 10.2214/ajr.18.20006] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
OBJECTIVE The purpose of this study was to determine whether relative standardized uptake value (SUV) measurements at FDG PET/MRI coregistration are predictive of local tumor control in patients with brain metastases treated with stereotactic radiosurgery (SRS). MATERIALS AND METHODS A retrospective review was conducted of the images and clinical characteristics of a cohort of patients with brain metastases from non-CNS neoplasms treated with gamma knife radiosurgery (GKRS) who underwent posttherapy FDG PET because of MRI findings concerning for progression. The PET and contrast-enhanced MR images were fused. Relative SUV measurements were calculated from ROIs placed in the area of highest FDG uptake within the enhancing lesion and in the contralateral normal-appearing white matter. Relative SUV was defined as the ratio of maximum SUV in the tumor to maximum SUV in healthy white matter. Two independent readers evaluated response to GKRS using serial posttherapy MRI performed at least 3 months after GKRS completion. The relation between relative SUV and local tumor progression was evaluated with respect to treatment effect. RESULTS Eighty-five patients (48 [56.5%] women, 37 [43.5%] men; mean age at diagnosis, 60.5 ± 11.3 years) met the inclusion criteria. Thirty-three (38.8%) lesions progressed after SRS. There was a significant association between relative SUV and local tumor control (p = 0.035). Relative SUV provided a diagnostic ROC AUC of 0.67 (95% CI, 0.55-0.79). CONCLUSION Quantitative relative SUV at posttherapy FDG PET serves as a biomarker of response to SRS in patients with brain metastases in cases in which lesion growth is identified at follow-up MRI. This prognostic data may affect management, supporting the need for further therapeutic actions for selected patients.
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Wadhwa EL, Franc BL, Aboian M, Kim JY, Pampaloni M, Nicolaides T. Delayed Fluorodeoxyglucose Positron Emission Tomography Imaging in the Differentiation of Tumor Recurrence and Radiation Necrosis in Pediatric Central Nervous System Tumors: Case Report and Review of the Literature. Cureus 2018; 10:e3364. [PMID: 30510874 PMCID: PMC6257469 DOI: 10.7759/cureus.3364] [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] [Indexed: 11/23/2022] Open
Abstract
Malignant central nervous system (CNS) tumors are often treated with radiation therapy, after which clinical and radiographic sequelae can lead to difficulties differentiating tumor recurrence from treatment effect. Magnetic resonance imaging (MRI) is often unable to distinguish between these two entities. The improved ability to delineate concerning foci could lead to earlier tumor detection with quicker access to new therapies and/or clinical trials; conversely, it could alleviate patient concerns in the case of radiation necrosis as the etiology. The utility of positron emission tomography with computed tomography (PET/CT) imaging with fluorodeoxyglucose (FDG) has been explored in CNS tumors in the past, as this imaging modality is widely used in oncologic practices. As there are concerns with false positive imaging in the case of cells with a high metabolic uptake due to causes other than malignancy (i.e. infection, inflammation), delayed FDG PET imaging has been proposed as a mechanism to reduce this confusion. Delayed FDG PET imaging has been explored in several adult and pediatric malignancies, including adult CNS tumors, though there are no current publications applying its use in pediatric CNS tumors. We present two cases of pediatric CNS tumors, where delayed FDG PET imaging helped in the early diagnosis of a recurrence through a distinguishing tumor from the treatment effect.
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Affiliation(s)
| | | | - Mariam Aboian
- Radiology, University of California, San Francisco, USA
| | - John Y Kim
- Neurosurgery, Kaiser Permanente, Oakland, USA
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Comparison of MRI and PET as Potential Surrogate Endpoints for Treatment Response After Stereotactic Radiosurgery in Patients With Brain Metastasis. AJR Am J Roentgenol 2018; 211:1332-1341. [PMID: 30240297 DOI: 10.2214/ajr.18.19674] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
OBJECTIVE The purpose of this study is to compare the diagnostic performance of MRI and PET for differentiating tumor recurrence from radiation necrosis in patients with brain metastasis treated with stereotactic radiosurgery. MATERIALS AND METHODS The Ovid-Medline and Embase databases were searched up to November 11, 2017, to find relevant studies. Pooled sensitivity and specificity from entire included studies were obtained using hierarchic logistic regression modeling. Metaregression was performed. RESULTS Twenty studies including 728 patients with 872 brain metastases were selected. MRI showed a pooled sensitivity of 84% (95% CI, 72-91%) and specificity of 88% (95% CI, 71-96%). PET showed a pooled sensitivity of 84% (95% CI, 78-88%) and specificity of 86% (95% CI, 81-90%). There were no statistically significant differences in the diagnostic performance of MRI and PET using indirect (p = 0.80) or direct (p = 0.48) comparisons. The diagnostic performance of advanced MRI was significantly higher than that of conventional MRI (p = 0.01). Advanced MRI (sensitivity, 86% [95% CI, 74-93%]; specificity, 95% [95% CI, 82-98%]) showed a significantly higher diagnostic performance than did PET (p < 0.01). All the included studies used perfusion MRI as an advanced MRI technique. CONCLUSION MRI and PET showed high diagnostic performance for the detection of tumor recurrence after stereotactic radiosurgery in patients with brain metastasis. There was no significant difference in the diagnostic performance between MRI and PET. Because of heterogeneity and paucity in studies, caution may be needed in applying the results.
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Bolcaen J, Descamps B, Acou M, Deblaere K, den Broecke CV, Boterberg T, Vanhove C, Goethals I. In Vivo DCE-MRI for the Discrimination Between Glioblastoma and Radiation Necrosis in Rats. Mol Imaging Biol 2018; 19:857-866. [PMID: 28303489 DOI: 10.1007/s11307-017-1071-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
PURPOSE In this study, the potential of semiquantitative and quantitative analysis of dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) was investigated to differentiate glioblastoma (GB) from radiation necrosis (RN) in rats. PROCEDURES F98 GB growth was seen on MRI 8-23 days post-inoculation (n = 15). RN lesions developed 6-8 months post-irradiation (n = 10). DCE-MRI was acquired using a fast low-angle shot (FLASH) sequence. Regions of interest (ROIs) encompassed peripheral contrast enhancement in GB (n = 15) and RN (n = 10) as well as central necrosis within these lesions (GB (n = 4), RN (n = 3)). Dynamic contrast-enhanced time series, obtained from the DCE-MRI data, were fitted to determine four function variables (amplitude A, offset from zero C, wash-in rate k, and wash-out rate D) as well as maximal intensity (ImaxF) and time to peak (TTPF). Secondly, maps of semiquantitative and quantitative parameters (extended Tofts model) were created using Olea Sphere (O). Semiquantitative DCE-MRI parameters included wash-inO, wash-outO, area under the curve (AUCO), maximal intensity (ImaxO), and time to peak (TTPO). Quantitative parameters included the rate constant plasma to extravascular-extracellular space (EES) (K trans), the rate constant EES to plasma (K ep), plasma volume (V p), and EES volume (V e). All (semi)quantitative parameters were compared between GB and RN using the Mann-Whitney U test. ROC analysis was performed. RESULTS Wash-in rate (k) and wash-out rate (D) were significantly higher in GB compared to RN using curve fitting (p = 0.016 and p = 0.014). TTPF and TTPO were significantly lower in GB compared to RN (p = 0.001 and p = 0.005, respectively). The highest sensitivity (87 %) and specificity (80 %) were obtained for TTPF by applying a threshold of 581 s. K trans, K ep, and V e were not significantly different between GB and RN. A trend towards higher V p values was found in GB compared to RN, indicating angiogenesis in GB (p = 0.075). CONCLUSIONS Based on our results, in a rat model of GB and RN, wash-in rate, wash-out rate, and the time to peak extracted from DCE-MRI time series data may be useful to discriminate GB from RN.
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Affiliation(s)
- Julie Bolcaen
- Department of Nuclear Medicine, Ghent University Hospital, Ghent, Belgium.
| | - Benedicte Descamps
- iMinds-IBiTech-MEDISIP, Department of Electronics and Information Systems, Ghent University, Ghent, Belgium
| | - Marjan Acou
- Department of Radiology and Medical Imaging, Ghent University Hospital, Ghent, Belgium
| | - Karel Deblaere
- Department of Radiology and Medical Imaging, Ghent University Hospital, Ghent, Belgium
| | | | - Tom Boterberg
- Department of Radiation Oncology, Ghent University Hospital, Ghent, Belgium
| | - Christian Vanhove
- iMinds-IBiTech-MEDISIP, Department of Electronics and Information Systems, Ghent University, Ghent, Belgium
| | - Ingeborg Goethals
- Department of Nuclear Medicine, Ghent University Hospital, Ghent, Belgium
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Nguyen NC, Osman MM. Normalized Subtraction of Serial Brain Magnetic Resonance Images and Fludeoxyglucose-Positron Emission Tomography Images for Tumor Treatment Monitoring: Case Report and Method Description. J Clin Imaging Sci 2018; 8:25. [PMID: 30034929 PMCID: PMC6034356 DOI: 10.4103/jcis.jcis_14_18] [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: 03/06/2018] [Accepted: 04/20/2018] [Indexed: 11/04/2022] Open
Abstract
A 60-year-old Caucasian male with a long history of cigarette smoking was diagnosed with epidermal growth factor receptor-mutation negative lung adenocarcinoma. The single cerebral metastasis in the right frontal lobe was treated with stereotactic radiosurgery and systemic chemotherapies. Normalized subtraction (NS) method was used to evaluate the serial brain magnetic resonance (MR) and fludeoxyglucose-positron emission tomography (FDG-PET) findings retrospectively, and the potential benefit of concurrent NS of serial MR images (MRIs) and PET images was demonstrated. MIM 4.1 (MIM Software Inc., Cleveland, OH) was used to co-register MRI with PET data and to perform NS on the serial MRI and PET data. MIM 4.1 provides fully automated alignment of imaging data by maximization of mutual information. Cortical regions distant from the brain lesion were used to adjust for the intensity differences between scans, so the voxel differences in normal brain regions were near zero in the NS images. A difference of 15% or greater in voxel densities was used for both MRI and PET, above or below which a change in MR signal intensity and FDG avidity was considered significant. The use of NS, in this case, allowed for an enhanced correlation of morphologic and functional information, which may have added value in the early treatment monitoring of brain tumors and help distinguish recurrent tumor from postradiation changes.
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Affiliation(s)
- Nghi C Nguyen
- Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania
| | - Medhat M Osman
- Department of Radiology, Saint Louis University, Saint Louis, Missouri, United States
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