1
|
Kim BK, Kim B, You SH, Jang MS, Im GH, Kim KH. Early therapy evaluation of intra-arterial trastuzumab injection in a human breast cancer xenograft model using multiparametric MR imaging. PLoS One 2024; 19:e0300171. [PMID: 38701062 PMCID: PMC11068173 DOI: 10.1371/journal.pone.0300171] [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: 09/01/2023] [Accepted: 02/22/2024] [Indexed: 05/05/2024] Open
Abstract
PURPOSE To investigate the treatment efficacy of intra-arterial (IA) trastuzumab treatment using multiparametric magnetic resonance imaging (MRI) in a human breast cancer xenograft model. MATERIALS AND METHODS Human breast cancer cells (BT474) were stereotaxically injected into the brains of nude mice to obtain a xenograft model. The mice were divided into four groups and subjected to different treatments (IA treatment [IA-T], intravenous treatment [IV-T], IA saline injection [IA-S], and the sham control group). MRI was performed before and at 7 and 14 d after treatment to assess the efficacy of the treatment. The tumor volume, apparent diffusion coefficient (ADC), and dynamic contrast-enhanced (DCE) MRI parameters (Ktrans, Kep, Ve, and Vp) were measured. RESULTS Tumor volumes in the IA-T group at 14 d after treatment were significantly lower than those in the IV-T group (13.1 mm3 [interquartile range 8.48-16.05] vs. 25.69 mm3 [IQR 20.39-30.29], p = 0.005), control group (IA-S, 33.83 mm3 [IQR 32.00-36.30], p<0.01), and sham control (39.71 mm3 [IQR 26.60-48.26], p <0.001). The ADC value in the IA-T group was higher than that in the control groups (IA-T, 7.62 [IQR 7.23-8.20] vs. IA-S, 6.77 [IQR 6.48-6.87], p = 0.044 and vs. sham control, 6.89 [IQR 4.93-7.48], p = 0.004). Ktrans was significantly decreased following the treatment compared to that in the control groups (p = 0.002 and p<0.001 for vs. IA-S and sham control, respectively). Tumor growth was decreased in the IV-T group compared to that in the sham control group (25.69 mm3 [IQR 20.39-30.29] vs. 39.71 mm3 [IQR 26.60-48.26], p = 0.27); there was no significant change in the MRI parameters. CONCLUSION IA treatment with trastuzumab potentially affects the early response to treatment, including decreased tumor growth and decrease of Ktrans, in a preclinical brain tumor model.
Collapse
Affiliation(s)
- Bo Kyu Kim
- Department of Radiology, Korea University Anam Hospital, Seoul, Korea
| | - Byungjun Kim
- Department of Radiology, Korea University Anam Hospital, Seoul, Korea
| | - Sung-Hye You
- Department of Radiology, Korea University Anam Hospital, Seoul, Korea
| | - Moon-Sun Jang
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine and Center for Molecular and Cellular Imaging, Samsung Biomedical Research Institute, Seoul, Korea
| | - Geun Ho Im
- Center for Neuroscience Imaging Research, SungKyunkwan University, Suwon, Korea
| | - Keon-Ha Kim
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| |
Collapse
|
2
|
Ghaderi S, Mohammadi S, Mohammadi M, Pashaki ZNA, Heidari M, Khatyal R, Zafari R. A systematic review of brain metastases from lung cancer using magnetic resonance neuroimaging: Clinical and technical aspects. J Med Radiat Sci 2024. [PMID: 38234262 DOI: 10.1002/jmrs.756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 01/06/2024] [Indexed: 01/19/2024] Open
Abstract
INTRODUCTION Brain metastases (BMs) are common in lung cancer (LC) and are associated with poor prognosis. Magnetic resonance imaging (MRI) plays a vital role in the detection, diagnosis and management of BMs. This review summarises recent advances in MRI techniques for BMs from LC. METHODS This systematic review was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A comprehensive literature search was conducted in three electronic databases: PubMed, Scopus and the Web of Science. The search was limited to studies published between January 2000 and March 2023. The quality of the included studies was evaluated using appropriate tools for different study designs. A narrative synthesis was carried out to describe the key findings of the included studies. RESULTS Sixty-five studies were included. Standard MRI sequences such as T1-weighted (T1w), T2-weighted (T2w) and fluid-attenuated inversion recovery (FLAIR) were commonly used. Advanced techniques included perfusion-weighted imaging (PWI), diffusion-weighted imaging (DWI) and radiomics analysis. DWI and PWI parameters could distinguish tumour recurrence from radiation necrosis. Radiomics models predicted genetic mutations and the risk of BMs. Diagnostic accuracy was improved with deep learning (DL) approaches. Prognostic factors such as performance status and concurrent chemotherapy impacted survival. CONCLUSION Advanced MRI techniques and specialised MRI methods have emerging roles in managing BMs from LC. PWI and DWI improve diagnostic accuracy in treated BMs. Radiomics and DL facilitate personalised prognosis and treatment. Magnetic resonance imaging plays a key role in the continuum of care for BMs of patients with LC, from screening to treatment monitoring.
Collapse
Affiliation(s)
- Sadegh Ghaderi
- Department of Neuroscience and Addiction Studies, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Sana Mohammadi
- Department of Medical Sciences, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Mahdi Mohammadi
- Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Zahra Najafi Asli Pashaki
- Department of Medical Physics, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Mehrsa Heidari
- Department of Medical Science, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Rahim Khatyal
- Department of Radiology, Faculty of Allied Medical Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Rasa Zafari
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| |
Collapse
|
3
|
Sanvito F, Kaufmann TJ, Cloughesy TF, Wen PY, Ellingson BM. Standardized brain tumor imaging protocols for clinical trials: current recommendations and tips for integration. FRONTIERS IN RADIOLOGY 2023; 3:1267615. [PMID: 38152383 PMCID: PMC10751345 DOI: 10.3389/fradi.2023.1267615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 11/24/2023] [Indexed: 12/29/2023]
Abstract
Standardized MRI acquisition protocols are crucial for reducing the measurement and interpretation variability associated with response assessment in brain tumor clinical trials. The main challenge is that standardized protocols should ensure high image quality while maximizing the number of institutions meeting the acquisition requirements. In recent years, extensive effort has been made by consensus groups to propose different "ideal" and "minimum requirements" brain tumor imaging protocols (BTIPs) for gliomas, brain metastases (BM), and primary central nervous system lymphomas (PCSNL). In clinical practice, BTIPs for clinical trials can be easily integrated with additional MRI sequences that may be desired for clinical patient management at individual sites. In this review, we summarize the general concepts behind the choice and timing of sequences included in the current recommended BTIPs, we provide a comparative overview, and discuss tips and caveats to integrate additional clinical or research sequences while preserving the recommended BTIPs. Finally, we also reflect on potential future directions for brain tumor imaging in clinical trials.
Collapse
Affiliation(s)
- Francesco Sanvito
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, University of California, Los Angeles, Los Angeles, CA, United States
- Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States
| | | | - Timothy F. Cloughesy
- UCLA Neuro-Oncology Program, University of California, Los Angeles, Los Angeles, CA, United States
- Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States
| | - Patrick Y. Wen
- Center for Neuro-Oncology, Dana-Farber/Brigham and Women’s Cancer Center, Harvard Medical School, Boston, MA, United States
| | - Benjamin M. Ellingson
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, University of California, Los Angeles, Los Angeles, CA, United States
- Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States
- Department of Bioengineering, Henry Samueli School of Engineering and Applied Science, University of California, Los Angeles, Los Angeles, CA, United States
- Department of Neurosurgery, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States
- Department of Psychiatry and Biobehavioral Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States
| |
Collapse
|
4
|
Chen L, Tong F, Peng L, Huang Y, Yin P, Feng Y, Cheng S, Wang J, Dong X. Efficacy and safety of recombinant human endostatin combined with whole-brain radiation therapy in patients with brain metastases from non-small cell lung cancer. Radiother Oncol 2022; 174:44-51. [PMID: 35788355 DOI: 10.1016/j.radonc.2022.06.022] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 06/11/2022] [Accepted: 06/24/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND AND PURPOSE Brain metastasis (BM) is the leading cause of poor prognosis in non-small cell lung cancer (NSCLC) patients. To date, whole-brain radiation therapy (WBRT) is a standard treatment for patients with multiple BMs, while its effectiveness is currently unsatisfactory. This study aimed to investigate the effects of Rh-endostatin combined with WBRT on NSCLC patients with BMs. MATERIALS AND METHODS A total of 43 patients with BM were randomly divided into two groups. The Rh-endostatin combination group (n=19) received Rh-endostatin combined with WBRT, and the radiation group (n=24) received WBRT only. The primary endpoint of the study was progression-free survival (PFS), and the secondary endpoints were intracranial progression free survival (iPFS), overall survival (OS), objective response rate (ORR), and changes in the cerebral blood volume (CBV) and cerebral blood flow (CBF). RESULTS Median PFS (mPFS) was 8.1 months in the Rh-endostatin combination group and 4.9 months in the radiation group (95%CI 0.2612-0.9583, p=0·0428). Besides, the median iPFS was 11.6 months in the Rh-endostatin combination group and 4.8 months in the radiation group (95%CI 0.2530-0.9504, p=0·0437). OS was 14.2 months in the Rh-endostatin combination group and 6.4 months in the radiation group (95%CI 0.2508-1.026, p=0·0688). CBV and CBF in the Rh-endostatin combination group were better improved than that in the radiation group, which indicated that Rh-endostatin might improve local blood supply and microcirculation. CONCLUSION Rh-endostatin showed better survival and improved cerebral perfusion parameters, which may provide further insights into the application of Rh-endostatin for NSCLC patients with BMs.
Collapse
Affiliation(s)
- Lingjuan Chen
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
| | - Fang Tong
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
| | - Ling Peng
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
| | - Yu Huang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Ping Yin
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Yue Feng
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei, China
| | - Shishi Cheng
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Jing Wang
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China; Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China.
| | - Xiaorong Dong
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
| |
Collapse
|
5
|
Starck L, Skeie BS, Moen G, Grüner R. Dynamic Susceptibility Contrast MRI May Contribute in Prediction of Stereotactic Radiosurgery Outcome in Brain Metastases. Neurooncol Adv 2022; 4:vdac070. [PMID: 35673606 PMCID: PMC9167634 DOI: 10.1093/noajnl/vdac070] [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: 11/12/2022] Open
Abstract
Background Following stereotactic radiosurgery (SRS), predicting treatment response is not possible at an early stage using structural imaging alone. Hence, the current study aims at investigating whether dynamic susceptibility contrast (DSC)-MRI estimated prior to SRS can provide predictive biomarkers in response to SRS treatment and characterize vascular characteristics of pseudo-progression. Methods In this retrospective study, perfusion-weighted DSC-MRI image data acquired with a temporal resolution of 1.45 seconds were collected from 41 patients suffering from brain metastases. Outcome was defined based on lesion volume changes in time (determined on structural images) or death. Motion correction and manual lesion delineation were performed prior to semi-automated, voxel-wise perfusion analysis. Statistical testing was performed using linear regression and a significance threshold at P = .05. Age, sex, primary cancers (pulmonary cancer and melanoma), lesion volume, and dichotomized survival time were added as covariates in the linear regression models (ANOVA). Results Relative cerebral blood volume (rCBV) and relative cerebral blood flow (rCBF) were found to be significantly lower prior to SRS treatment in patients with increasing lesion volume or early death post-SRS (P ≤ .01). Conclusion Unfavorable treatment outcome may be linked to low perfusion prior to SRS. Pseudo-progression may be preceded by a transient rCBF increase post-SRS. However, results should be verified in different or larger patient material.
Collapse
Affiliation(s)
- Lea Starck
- Department of Physics and Technology, University of Bergen, Norway
- Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway
| | | | - Gunnar Moen
- Department of Radiology, Haukeland University Hospital, Bergen, Norway
| | - Renate Grüner
- Department of Physics and Technology, University of Bergen, Norway
- Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway
- Department of Radiology, Haukeland University Hospital, Bergen, Norway
| |
Collapse
|
6
|
Özer H, Yazol M, Erdoğan N, Emmez ÖH, Kurt G, Öner AY. Dynamic contrast-enhanced magnetic resonance imaging for evaluating early response to radiosurgery in patients with vestibular schwannoma. Jpn J Radiol 2022; 40:678-688. [PMID: 35038116 DOI: 10.1007/s11604-021-01245-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 12/28/2021] [Indexed: 10/19/2022]
Abstract
PURPOSE This study aimed to use dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) to evaluate early treatment response in vestibular schwannoma (VS) patients after radiosurgery. METHODS Twenty-four VS patients who underwent gamma knife radiosurgery were prospectively followed up for at least four years. DCE-MRI sequences, in addition to standard MRI protocol, were obtained prior to radiosurgery, at 3 and 6 months. Conventionally, treatment responses based on tumor volume changes were classified as regression or stable (RS), transient tumor enlargement (TTE), and continuous tumor enlargement (CTE). DCE-MRI parameters, such as Ktrans, Kep and Ve, were compared according to follow-up periods and between groups. The diagnostic performance was tested using receiver operating characteristic (ROC) curves. RESULTS Changes in tumor volume were as follows at the last 48 months of follow-up: RS in 11 patients (45.8%), TTE in 10 patients (41.7%), and CTE in three patients (12.5%). The median time required to distinguish TTE from CTE using conventional MRI was 12 months (range 9-18). The Ktrans and Ve were significantly decreased in patients with RS and TTE at 3 and 6 months, but did not differ significantly in patients with CTE. There were no significant differences in Ktrans and Ve between patients with RS and TTE at 3 and 6 months. Both Ktrans and Ve demonstrated high diagnostic performance in evaluating early treatment response to radiosurgery in patients with VS. CONCLUSION DCE-MRI may aid in the monitoring and early prediction of treatment response in patients with VS following radiosurgery.
Collapse
Affiliation(s)
- Halil Özer
- Department of Radiology, Gazi University Faculty of Medicine, Beşevler, 06500, Ankara, Turkey.
| | - Merve Yazol
- Department of Radiology, Gazi University Faculty of Medicine, Beşevler, 06500, Ankara, Turkey
| | - Nesrin Erdoğan
- Department of Radiology, Gazi University Faculty of Medicine, Beşevler, 06500, Ankara, Turkey
| | - Ömer Hakan Emmez
- Department of Neurosurgery, Gazi University Faculty of Medicine, Ankara, Turkey
| | - Gökhan Kurt
- Department of Neurosurgery, Gazi University Faculty of Medicine, Ankara, Turkey
| | - Ali Yusuf Öner
- Department of Radiology, Gazi University Faculty of Medicine, Beşevler, 06500, Ankara, Turkey
| |
Collapse
|
7
|
Procissi D, Jannetti SA, Zannikou M, Zhou Z, McDougald D, Kanojia D, Zhang H, Burdett K, Vaidyanathan G, Zalutsky MR, Balyasnikova IV. Low-level whole-brain radiation enhances theranostic potential of single-domain antibody fragments for human epidermal growth factor receptor type 2 (HER2)-positive brain metastases. Neurooncol Adv 2022; 4:vdac135. [PMID: 36128586 PMCID: PMC9476215 DOI: 10.1093/noajnl/vdac135] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
Abstract
Background Single-domain antibody fragments (aka VHH, ~ 13 kDa) are promising delivery systems for brain tumor theranostics; however, achieving efficient delivery of VHH to intracranial lesions remains challenging due to the tumor–brain barrier. Here, we evaluate low-dose whole-brain irradiation as a strategy to increase the delivery of an anti- human epidermal growth factor receptor type 2 (HER2) VHH to breast cancer-derived intracranial tumors in mice. Methods Mice with intracranial HER2-positive BT474BrM3 tumors received 10-Gy fractionated cranial irradiation and were evaluated by noninvasive imaging. Anti-HER2 VHH 5F7 was labeled with 18F, administered intravenously to irradiated mice and controls, and PET/CT imaging was conducted periodically after irradiation. Tumor uptake of 18F-labeled 5F7 in irradiated and control mice was compared by PET/CT image analysis and correlated with tumor volumes. In addition, longitudinal dynamic contrast-enhanced MRI (DCE-MRI) was conducted to visualize and quantify the potential effects of radiation on tumor perfusion and permeability. Results Increased 18F-labeled 5F7 intracranial tumor uptake was observed with PET in mice receiving cranial irradiation, with maximum tumor accumulation seen approximately 12 days post initial radiation treatment. No radiation-induced changes in HER2 expression were detected by Western blot, flow cytometry, or on tissue sections. DCE-MRI imaging demonstrated transiently increased tumor perfusion and permeability after irradiation, consistent with the higher tumor uptake of 18F-labeled anti-HER2 5F7 in irradiated mice. Conclusion Low-level brain irradiation induces dynamic changes in tumor vasculature that increase the intracranial tumor delivery of an anti-HER2 VHH, which could facilitate the use of radiolabeled VHH to detect, monitor, and treat HER2-expressing brain metastases.
Collapse
Affiliation(s)
- Daniele Procissi
- Department of Neurological Surgery, Northwestern University , Chicago, Illinois , USA
| | | | - Markella Zannikou
- Department of Neurological Surgery, Northwestern University , Chicago, Illinois , USA
| | - Zhengyuan Zhou
- Department of Radiology, Duke University Medical Center , Durham, North Carolina , USA
| | - Darryl McDougald
- Department of Radiology, Duke University Medical Center , Durham, North Carolina , USA
| | - Deepak Kanojia
- Department of Neurological Surgery, Northwestern University , Chicago, Illinois , USA
| | - Hui Zhang
- Department of Preventive Medicine, Northwestern University , Chicago, Illinois , USA
| | - Kirsten Burdett
- Department of Preventive Medicine, Northwestern University , Chicago, Illinois , USA
| | - Ganesan Vaidyanathan
- Department of Radiology, Duke University Medical Center , Durham, North Carolina , USA
| | - Michael R Zalutsky
- Department of Radiology, Duke University Medical Center , Durham, North Carolina , USA
| | - Irina V Balyasnikova
- Department of Neurological Surgery, Northwestern University , Chicago, Illinois , USA
| |
Collapse
|
8
|
Gaebe K, Li AY, Das S. Clinical Biomarkers for Early Identification of Patients with Intracranial Metastatic Disease. Cancers (Basel) 2021; 13:cancers13235973. [PMID: 34885083 PMCID: PMC8656478 DOI: 10.3390/cancers13235973] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2021] [Revised: 11/25/2021] [Accepted: 11/25/2021] [Indexed: 12/18/2022] Open
Abstract
Simple Summary The development of brain metastases, or intracranial metastatic disease (IMD), is a serious and life-altering complication for many patients with cancer. While there have been substantial advancements in the treatments available for IMD and in our understanding of its pathogenesis, conventional methods remain insufficient to detect IMD at an early stage. In this review, we discuss current research on biomarkers specific to IMD. In particular, we highlight biomarkers that can be easily accessed via the bloodstream or cerebrospinal fluid, including circulating tumor cells and DNA, as well as advanced imaging techniques. The continued development of these assays could enable clinicians to detect IMD prior to the development of IMD-associated symptoms and ultimately improve patient prognosis and survival. Abstract Nearly 30% of patients with cancer will develop intracranial metastatic disease (IMD), and more than half of these patients will die within a few months following their diagnosis. In light of the profound effect of IMD on survival and quality of life, there is significant interest in identifying biomarkers that could facilitate the early detection of IMD or identify patients with cancer who are at high IMD risk. In this review, we will highlight early efforts to identify biomarkers of IMD and consider avenues for future investigation.
Collapse
Affiliation(s)
- Karolina Gaebe
- Institute of Medical Science, Faculty of Medicine, University of Toronto, 1 King’s College Circle, Toronto, ON M5S 3K1, Canada; (K.G.); (A.Y.L.)
| | - Alyssa Y. Li
- Institute of Medical Science, Faculty of Medicine, University of Toronto, 1 King’s College Circle, Toronto, ON M5S 3K1, Canada; (K.G.); (A.Y.L.)
| | - Sunit Das
- Institute of Medical Science, Faculty of Medicine, University of Toronto, 1 King’s College Circle, Toronto, ON M5S 3K1, Canada; (K.G.); (A.Y.L.)
- Division of Neurosurgery, St. Michael’s Hospital, University of Toronto, 30 Bond Street, Toronto, ON M5B 1W8, Canada
- Correspondence:
| |
Collapse
|
9
|
Maziero D, Straza MW, Ford JC, Bovi JA, Diwanji T, Stoyanova R, Paulson ES, Mellon EA. MR-Guided Radiotherapy for Brain and Spine Tumors. Front Oncol 2021; 11:626100. [PMID: 33763361 PMCID: PMC7982530 DOI: 10.3389/fonc.2021.626100] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Accepted: 02/12/2021] [Indexed: 12/19/2022] Open
Abstract
MRI is the standard modality to assess anatomy and response to treatment in brain and spine tumors given its superb anatomic soft tissue contrast (e.g., T1 and T2) and numerous additional intrinsic contrast mechanisms that can be used to investigate physiology (e.g., diffusion, perfusion, spectroscopy). As such, hybrid MRI and radiotherapy (RT) devices hold unique promise for Magnetic Resonance guided Radiation Therapy (MRgRT). In the brain, MRgRT provides daily visualizations of evolving tumors that are not seen with cone beam CT guidance and cannot be fully characterized with occasional standalone MRI scans. Significant evolving anatomic changes during radiotherapy can be observed in patients with glioblastoma during the 6-week fractionated MRIgRT course. In this review, a case of rapidly changing symptomatic tumor is demonstrated for possible therapy adaptation. For stereotactic body RT of the spine, MRgRT acquires clear isotropic images of tumor in relation to spinal cord, cerebral spinal fluid, and nearby moving organs at risk such as bowel. This visualization allows for setup reassurance and the possibility of adaptive radiotherapy based on anatomy in difficult cases. A review of the literature for MR relaxometry, diffusion, perfusion, and spectroscopy during RT is also presented. These techniques are known to correlate with physiologic changes in the tumor such as cellularity, necrosis, and metabolism, and serve as early biomarkers of chemotherapy and RT response correlating with patient survival. While physiologic tumor investigations during RT have been limited by the feasibility and cost of obtaining frequent standalone MRIs, MRIgRT systems have enabled daily and widespread physiologic measurements. We demonstrate an example case of a poorly responding tumor on the 0.35 T MRIgRT system with relaxometry and diffusion measured several times per week. Future studies must elucidate which changes in MR-based physiologic metrics and at which timepoints best predict patient outcomes. This will lead to early treatment intensification for tumors identified to have the worst physiologic responses during RT in efforts to improve glioblastoma survival.
Collapse
Affiliation(s)
- Danilo Maziero
- Department of Radiation Oncology, Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, FL, United States
| | - Michael W Straza
- Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, WI, United States
| | - John C Ford
- Department of Radiation Oncology, Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, FL, United States
| | - Joseph A Bovi
- Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Tejan Diwanji
- Department of Radiation Oncology, Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, FL, United States
| | - Radka Stoyanova
- Department of Radiation Oncology, Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, FL, United States
| | - Eric S Paulson
- Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Eric A Mellon
- Department of Radiation Oncology, Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, FL, United States
| |
Collapse
|
10
|
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.
Collapse
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
| |
Collapse
|
11
|
Imaging of Response to Radiosurgery and Immunotherapy in Brain Metastases: Quo Vadis? Curr Treat Options Neurol 2021. [DOI: 10.1007/s11940-021-00664-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Abstract
Purpose of Review
This review presents an overview of how advanced imaging techniques may help to overcome shortcomings of anatomical MRI for response assessment in patients with brain metastases who are undergoing stereotactic radiosurgery, immunotherapy, or combinations thereof.
Recent Findings
Study results suggest that parameters derived from amino acid PET, diffusion- and perfusion-weighted MRI, MR spectroscopy, and newer MRI methods are particularly helpful for the evaluation of the response to radiosurgery or checkpoint inhibitor immunotherapy and provide valuable information for the differentiation of radiotherapy-induced changes such as radiation necrosis from brain metastases. The evaluation of these imaging modalities is also of great interest in the light of emerging high-throughput analysis methods such as radiomics, which allow the acquisition of additional data at a low cost.
Summary
Preliminary results are promising and should be further evaluated. Shortcomings are different levels of PET and MRI standardization, the number of patients enrolled in studies, and the monocentric and retrospective character of most studies.
Collapse
|
12
|
Shah AD, Shridhar Konar A, Paudyal R, Oh JH, LoCastro E, Nuñez DA, Swinburne N, Vachha B, Ulaner GA, Young RJ, Holodny AI, Beal K, Shukla-Dave A, Hatzoglou V. Diffusion and Perfusion MRI Predicts Response Preceding and Shortly After Radiosurgery to Brain Metastases: A Pilot Study. J Neuroimaging 2020; 31:317-323. [PMID: 33370467 DOI: 10.1111/jon.12828] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 11/20/2020] [Accepted: 12/06/2020] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND AND PURPOSE To determine the ability of diffusion-weighted imaging (DWI) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) to predict long-term response of brain metastases prior to and within 72 hours of stereotactic radiosurgery (SRS). METHODS In this prospective pilot study, multiple b-value DWI and T1-weighted DCE-MRI were performed in patients with brain metastases before and within 72 hours following SRS. Diffusion-weighted images were analyzed using the monoexponential and intravoxel incoherent motion (IVIM) models. DCE-MRI data were analyzed using the extended Tofts pharmacokinetic model. The parameters obtained with these methods were correlated with brain metastasis outcomes according to modified Response Assessment in Neuro-Oncology Brain Metastases criteria. RESULTS We included 25 lesions from 16 patients; 16 patients underwent pre-SRS MRI and 12 of 16 patients underwent both pre- and early (within 72 hours) post-SRS MRI. The perfusion fraction (f) derived from IVIM early post-SRS was higher in lesions demonstrating progressive disease than in lesions demonstrating stable disease, partial response, or complete response (q = .041). Pre-SRS extracellular extravascular volume fraction, ve , and volume transfer coefficient, Ktrans , derived from DCE-MRI were higher in nonresponders versus responders (q = .041). CONCLUSIONS Quantitative DWI and DCE-MRI are feasible imaging methods in the pre- and early (within 72 hours) post-SRS evaluation of brain metastases. DWI- and DCE-MRI-derived parameters demonstrated physiologic changes (tumor cellularity and vascularity) and offer potentially useful biomarkers that can predict treatment response. This allows for initiation of alternate therapies within an effective time window that may help prevent disease progression.
Collapse
Affiliation(s)
- Akash Deelip Shah
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY
| | | | - Ramesh Paudyal
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Jung Hun Oh
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Eve LoCastro
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - David Aramburu Nuñez
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Nathaniel Swinburne
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Behroze Vachha
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Gary A Ulaner
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Robert J Young
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Andrei I Holodny
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Kathryn Beal
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Amita Shukla-Dave
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY.,Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Vaios Hatzoglou
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY
| |
Collapse
|
13
|
Peker S, Samanci Y, Aygun MS, Yavuz F, Erden ME, Nokay AE, Atasoy Aİ, Bolukbasi Y. The Use of Treatment Response Assessment Maps in Discriminating Between Radiation Effect and Persistent Tumoral Lesion in Metastatic Brain Tumors Treated with Gamma Knife Radiosurgery. World Neurosurg 2020; 146:e1134-e1146. [PMID: 33253956 DOI: 10.1016/j.wneu.2020.11.114] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Revised: 11/19/2020] [Accepted: 11/20/2020] [Indexed: 01/22/2023]
Abstract
BACKGROUND Traditional imaging modalities are not useful in the follow-up of irradiated metastatic brain tumors, because radiation can change imaging characteristics. We aimed to assess the ability of treatment response assessment maps (TRAMs) calculated from delayed-contrast magnetic resonance imaging (MRI) in differentiation between radiation effect and persistent tumoral tissue. METHODS TRAMs were calculated by subtracting three-dimensional T1 MRIs acquired 5 minutes after contrast injection from the images acquired 60-105 minutes later. Red areas were regarded as radiation effect and blue areas as persistent tumoral lesion. Thirty-seven patients with 130 metastatic brain tumors who were treated with Gamma Knife radiosurgery and who underwent TRAMs perfusion-weighted MRI were enrolled in this retrospective study. RESULTS The median age was 58 years and the most common primary diagnosis was lung cancer (n = 21). The median follow-up period of patients was 12 months. The overall local control rate was 100% at 1 year and 98.9% at 2 years. The median progression-free survival was 12 months. The mean overall survival was 27.3 months. The radiologic and clinical follow-up showed a clinicoradiologic diagnosis of a persistent tumoral lesion in 3 tumors (2.3%) and radiation effect in 127 tumors (97.7%). There was a fair agreement between clinicoradiologic diagnosis and TRAMs analysis (κ = 0.380). The sensitivity and positive predictive value of TRAMs in diagnosing radiation effect were 96.06% and 99.2%, respectively. TRAMs showed comparable results to perfusion-weighted MRI, with a diagnostic odds ratio of 27.4 versus 20.7, respectively. CONCLUSIONS The presented results show the ability of TRAMs in differentiating radiation effect and persistent tumoral lesions.
Collapse
Affiliation(s)
- Selcuk Peker
- Department of Neurosurgery, School of Medicine, Koç University, Istanbul, Turkey.
| | - Yavuz Samanci
- Department of Neurosurgery, Koç University Hospital, Istanbul, Turkey
| | - Murat Serhat Aygun
- Department of Radiology, School of Medicine, Koç University, Istanbul, Turkey
| | - Furkan Yavuz
- School of Medicine, Koç University, Istanbul, Turkey
| | | | | | - Ali İhsan Atasoy
- Department of Radiation Oncology, Koç University Hospital, Istanbul, Turkey
| | - Yasemin Bolukbasi
- Department of Radiation Oncology, School of Medicine, Koç University, Istanbul, Turkey
| |
Collapse
|
14
|
Huang J, Milchenko M, Rao YJ, LaMontagne P, Abraham C, Robinson CG, Huang Y, Shimony JS, Rich KM, Benzinger T. A feasibility study to evaluate early treatment response of brain metastases one week after stereotactic radiosurgery using perfusion weighted imaging. PLoS One 2020; 15:e0241835. [PMID: 33141861 PMCID: PMC7608872 DOI: 10.1371/journal.pone.0241835] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Accepted: 10/20/2020] [Indexed: 01/06/2023] Open
Abstract
Background To explore if early perfusion-weighted magnetic resonance imaging (PWI) may be a promising imaging biomarker to predict local recurrence (LR) of brain metastases after stereotactic radiosurgery (SRS). Methods This is a prospective pilot study of adult brain metastasis patients who were treated with SRS and imaged with PWI before and 1 week later. Relative cerebral blood volume (rCBV) parameter maps were calculated by normalizing to the mean value of the contralateral white matter on PWI. Cox regression was conducted to explore factors associated with time to LR, with Bonferroni adjusted p<0.0006 for multiple testing correction. LR rates were estimated with the Kaplan-Meier method and compared using the log-rank test. Results Twenty-three patients were enrolled from 2013 through 2016, with 22 evaluable lesions from 16 patients. After a median follow-up of 13.1 months (range: 3.0–53.7), 5 lesions (21%) developed LR after a median of 3.4 months (range: 2.3–5.7). On univariable analysis, larger tumor volume (HR 1.48, 95% CI 1.02–2.15, p = 0.04), lower SRS dose (HR 0.45, 95% CI 0.21–0.97, p = 0.04), and higher rCBV at week 1 (HR 1.07, 95% CI 1.003–1.14, p = 0.04) had borderline association with shorter time to LR. Tumors >2.0cm3 had significantly higher LR than if ≤2.0cm3: 54% vs 0% at 1 year, respectively, p = 0.008. A future study to confirm the association of early PWI and LR of the high-risk cohort of lesions >2.0cm3 is estimated to require 258 patients. Conclusions PWI at week 1 after SRS may have borderline association with LR. Tumors <2.0cm3 have low risk of LR after SRS and may be low-yield for predictive biomarker studies. Information regarding sample size and potential challenges for future imaging biomarker studies may be gleaned from this pilot study.
Collapse
Affiliation(s)
- Jiayi Huang
- Department of Radiation Oncology, Washington University School of Medicine, Saint Louis, Missouri, United States of America
| | - Mikhail Milchenko
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, Saint Louis, Missouri, United States of America
| | - Yuan J Rao
- Department of Radiation Oncology, Washington University School of Medicine, Saint Louis, Missouri, United States of America
| | - Pamela LaMontagne
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, Saint Louis, Missouri, United States of America
| | - Christopher Abraham
- Department of Radiation Oncology, Washington University School of Medicine, Saint Louis, Missouri, United States of America
| | - Clifford G Robinson
- Department of Radiation Oncology, Washington University School of Medicine, Saint Louis, Missouri, United States of America
| | - Yi Huang
- Department of Radiation Oncology, Washington University School of Medicine, Saint Louis, Missouri, United States of America
| | - Joshua S Shimony
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, Saint Louis, Missouri, United States of America
| | - Keith M Rich
- Department of Neurosurgery, Washington University School of Medicine, Saint Louis, Missouri, United States of America
| | - Tammie Benzinger
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, Saint Louis, Missouri, United States of America
| |
Collapse
|
15
|
Lesueur P, Kao W, Leconte A, Geffrelot J, Lequesne J, Lacroix J, Brachet PE, Hrab I, Royer P, Clarisse B, Stefan D. Stereotactic radiotherapy on brain metastases with recent hemorrhagic signal: STEREO-HBM, a two-step phase 2 trial. BMC Cancer 2020; 20:147. [PMID: 32087691 PMCID: PMC7036220 DOI: 10.1186/s12885-020-6569-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Accepted: 01/21/2020] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Brain metastases often occur in cancer evolution. They are not only responsible for death but also for disorders affecting the quality of life and the cognitive functions. Management of brain metastases usually consists in multi-modality treatments, including neurosurgery, whole brain radiotherapy (WBRT), and more recently radiosurgery (SRS) or fractionated stereotactic radiotherapy (FSRT), systemic treatment (chemotherapy or targeted therapy), combined or not with corticosteroids. Almost 20% of brain metastases can present recent (within 15 days) bleeding signs on neuro-imagery. In these conditions, WBRT is the usual treatment. Yet, patients may benefit from a more aggressive strategy with SRT or FSRT. However, these options were suspected to possibly major the risk of brain haemorrhage, although no scientifically proven. Radiation oncologists therefore usually remain reluctant to deliver SRS/FSRT for bleeding brain metastases. It is therefore challenging to establish a standard of care for the treatment of bleeding brain metastases. We propose a phase II trial to simultaneously assess safety and efficacy of FSRT to manage brain metastases with hemorrhagic signal. METHODS The STEREO-HBM study is a multicenter two-step non-randomised phase II trial addressing patients with at least one bleeding brain metastasis out of a maximum of 3 brain metastases. Each brain metastasis will be treated with 30 Gy in 3 fractions for 1 week. The main endpoint is based on both safety and efficacy endpoints as proposed by Bryant and Day's design. Safety endpoint is defined as the rate of bleeding complications 4 months post-FSRT while efficacy endpoint is defined as the 6-month local control rate. Multi-modal MRI will be used to assess intra-tumoral hemorrhagic events before and after treatment. Patients' quality of life will also be assessed. DISCUSSION Management of bleeding brain metastases is still debated and poorly explored in clinical trials. There is sparse and weak data on the signification of pretreatment intra-tumour haemorrhagic signs or on the risk of brain bleeding complications after FSRT. We expect this first prospective phase 2 trial in this particular setting will allow to clarify the place of FSRT to optimally manage bleeding brain metastases. TRIAL REGISTRATION NCT03696680, registered October, 4, 2018. PROTOCOL VERSION Version 2.1 dated from 2018/11/09.
Collapse
Affiliation(s)
- Paul Lesueur
- Radiation Oncology Department, Centre François Baclesse, F-14000 Caen, France
- Normandy University, F-14000 Caen, France
| | - William Kao
- Radiation Oncology Department, Centre François Baclesse, F-14000 Caen, France
| | - Alexandra Leconte
- Clinical Research Department, Centre François Baclesse, F-14000 Caen, France
| | - Julien Geffrelot
- Radiation Oncology Department, Centre François Baclesse, F-14000 Caen, France
| | - Justine Lequesne
- Clinical Research Department, Centre François Baclesse, F-14000 Caen, France
| | - Joëlle Lacroix
- Radiology Department, Centre François Baclesse, F-14000 Caen, France
| | - Pierre-Emmanuel Brachet
- Clinical Research Department, Centre François Baclesse, F-14000 Caen, France
- Medical Oncology Department, Centre François Baclesse, F-14000 Caen, France
| | - Ioana Hrab
- Medical Oncology Department, Centre François Baclesse, F-14000 Caen, France
| | - Philippe Royer
- Radiation Oncology Department, Institut de Cancérologie de Lorraine, F-54000 Vandœuvre-lès-Nancy, France
| | - Bénédicte Clarisse
- Clinical Research Department, Centre François Baclesse, F-14000 Caen, France
| | - Dinu Stefan
- Radiation Oncology Department, Centre François Baclesse, F-14000 Caen, France
- Radiation Oncology Department, Centre François Baclesse, 3 Avenue du Général Harris, F-14076 Caen Cedex 05, France
| |
Collapse
|
16
|
Gharzeddine K, Hatzoglou V, Holodny AI, Young RJ. MR Perfusion and MR Spectroscopy of Brain Neoplasms. Radiol Clin North Am 2019; 57:1177-1188. [PMID: 31582043 DOI: 10.1016/j.rcl.2019.07.008] [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: 12/30/2022]
Abstract
Advances in imaging techniques, such as MR perfusion and spectroscopy, are increasingly indispensable in the management and treatment plans of brain neoplasms: from diagnosing, molecular/genetic typing and grading neoplasms, augmenting biopsy results and improving accuracy, to ultimately directing and monitoring treatment and response. New developments in treatment methods have resulted in new diagnostic challenges for conventional MR imaging, such as pseudoprogression, where MR perfusion has the widest current application. MR spectroscopy is showing increasing promise in noninvasively determining genetic subtypes and, potentially, susceptibility to molecular targeted therapies.
Collapse
Affiliation(s)
- Karem Gharzeddine
- Department of Radiology, Memorial Sloan-Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA
| | - Vaios Hatzoglou
- Department of Radiology, Memorial Sloan-Kettering Cancer Center, Weill Medical College of Cornell University, 1275 York Avenue, New York, NY 10065, USA
| | - Andrei I Holodny
- Department of Radiology, Memorial Sloan-Kettering Cancer Center, Weill Medical College of Cornell University, Weill Cornell Graduate School of Medical Sciences, 1275 York Avenue, New York, NY 10065, USA.
| | - Robert J Young
- Brain Imaging, Neuroradiology Research, Neuroradiology Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA
| |
Collapse
|
17
|
Kwee RM, Kwee TC. Dynamic susceptibility MR perfusion in diagnosing recurrent brain metastases after radiotherapy: A systematic review and meta-analysis. J Magn Reson Imaging 2019; 51:524-534. [PMID: 31150144 PMCID: PMC7004193 DOI: 10.1002/jmri.26812] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Accepted: 05/17/2019] [Indexed: 01/18/2023] Open
Abstract
Background The diagnostic performance of dynamic susceptibility contrast (DSC) MR perfusion in discriminating treatment‐related changes from recurrence in irradiated brain metastases is currently not completely clear. Purpose To systematically review the accuracy of DSC MR perfusion in diagnosing recurrent brain metastases after radiotherapy. Study Type Systematic review and meta‐analysis. Subjects MEDLINE and Embase were searched for original studies investigating the accuracy of DSC MR perfusion in diagnosing recurrent brain metastases after radiotherapy. Ten studies, comprising a total of more than 271 metastases, were included. Field Strength/Sequence 1.5T or 3.0T, DSC MR perfusion. Assessment Quality assessment was performed according to the Quality Assessment of Diagnostic Accuracy Studies‐2 tool. Statistical Tests Sensitivity and specificity were pooled with a bivariate random‐effects model. Heterogeneity was assessed by a chi‐squared test. Potential sources for heterogeneity were explored by subgroup analyses. Results In seven studies the diagnostic criterion was not prespecified. In eight studies it was unclear whether the reference standard was interpreted blindly. In seven studies it was unclear whether DSC MR perfusion results influenced which reference standard was used. Pooled sensitivity and specificity were 81.6% (95% confidence interval [CI]: 70.6%, 89.1%) and 80.6% (95% CI: 64.2%, 90.6%), respectively. There was significant heterogeneity in both sensitivity (P = 0.005) and specificity (P < 0.001). There were no significant differences in relative diagnostic odds ratio according to publication year, country of origin, study size, and DSC MR perfusion interpretation method (visual analysis of cerebral blood volume [CBV] map vs. relative CBV measurement) (P > 0.2). Due to insufficiently detailed reporting, it was not possible to investigate the influence of primary tumor origin on accuracy. Data Conclusion Our results suggest that the accuracy of DSC MR perfusion in diagnosing recurrent brain metastases after radiotherapy is fairly high. However, these findings should be interpreted with caution because of methodological quality concerns and heterogeneity between studies. Level of Evidence: 3 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2020;51:524–534.
Collapse
Affiliation(s)
- Robert M Kwee
- Department of Radiology, Zuyderland Medical Center, Heerlen/Sittard/Geleen, The Netherlands
| | - Thomas C Kwee
- Department of Radiology, Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, Groningen, The Netherlands
| |
Collapse
|
18
|
Taunk NK, Oh JH, Shukla-Dave A, Beal K, Vachha B, Holodny A, Hatzoglou V. Early posttreatment assessment of MRI perfusion biomarkers can predict long-term response of lung cancer brain metastases to stereotactic radiosurgery. Neuro Oncol 2019; 20:567-575. [PMID: 29016814 DOI: 10.1093/neuonc/nox159] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Background Imaging criteria to evaluate the response of brain metastases to stereotactic radiosurgery (SRS) in the early posttreatment period remains a crucial unmet need. The aim of this study is to correlate early (within 12 wk) posttreatment perfusion MRI changes with long-term outcomes after treatment of lung cancer brain metastases with SRS. Methods Pre- and posttreatment perfusion MRI scans were obtained in patients treated with SRS for intact non-small cell lung cancer brain metastases. Time-dependent leakage (Ktrans), blood plasma volume (Vp), and extracellular extravascular volume (Ve) were calculated for each lesion. Patients were followed longitudinally with serial MRI until death, progression, or intervention (whole brain radiation or surgery). Results We included 53 lesions treated with SRS from 41 total patients. Median follow-up after treatment was 11 months. Actuarial local control at one year was 85%. Univariate analysis demonstrated a significant difference (P = 0.032) in posttreatment Ktrans SD between patients with progressive disease (mean = 0.0317) and without progressive disease (mean = 0.0219). A posttreatment Ktrans SD cutoff value of 0.017 was highly sensitive (89%) for predicting progressive disease and no progressive disease. Early posttreatment volume change was not associated with outcome (P = 0.941). Conclusion Posttreatment Ktrans SD may be used as an early posttreatment imaging biomarker to help predict long-term response of lung cancer brain metastases to SRS. This can help identify patients who will ultimately fail SRS and allow for timelier adjustment in treatment approach. These data should be prospectively validated in larger patient cohorts and other histologies.
Collapse
Affiliation(s)
- Neil K Taunk
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Jung Hun Oh
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Amita Shukla-Dave
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Kathryn Beal
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Behroze Vachha
- Neuroradiology Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Andrei Holodny
- Neuroradiology Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Vaios Hatzoglou
- Neuroradiology Service, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
| |
Collapse
|
19
|
Emerging Functional Imaging Biomarkers of Tumour Responses to Radiotherapy. Cancers (Basel) 2019; 11:cancers11020131. [PMID: 30678055 PMCID: PMC6407112 DOI: 10.3390/cancers11020131] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Revised: 01/11/2019] [Accepted: 01/13/2019] [Indexed: 12/11/2022] Open
Abstract
Tumour responses to radiotherapy are currently primarily assessed by changes in size. Imaging permits non-invasive, whole-body assessment of tumour burden and guides treatment options for most tumours. However, in most tumours, changes in size are slow to manifest and can sometimes be difficult to interpret or misleading, potentially leading to prolonged durations of ineffective treatment and delays in changing therapy. Functional imaging techniques that monitor biological processes have the potential to detect tumour responses to treatment earlier and refine treatment options based on tumour biology rather than solely on size and staging. By considering the biological effects of radiotherapy, this review focusses on emerging functional imaging techniques with the potential to augment morphological imaging and serve as biomarkers of early response to radiotherapy.
Collapse
|
20
|
Winter JD, Moraes FY, Chung C, Coolens C. Detectability of radiation-induced changes in magnetic resonance biomarkers following stereotactic radiosurgery: A pilot study. PLoS One 2018; 13:e0207933. [PMID: 30475887 PMCID: PMC6258119 DOI: 10.1371/journal.pone.0207933] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2018] [Accepted: 11/05/2018] [Indexed: 11/18/2022] Open
Abstract
Our objective was to investigate direct voxel-wise relationship between dose and early MR biomarker changes both within and in the high-dose region surrounding brain metastases following stereotactic radiosurgery (SRS). Specifically, we examined the apparent diffusion coefficient (ADC) from diffusion-weighted imaging and the contrast transfer coefficient (Ktrans) and volume of extracellular extravascular space (ve) derived from dynamic contrast-enhanced (DCE) MRI data. We investigated 29 brain metastases in 18 patients using 3 T MRI to collect imaging data at day 0, day 3 and day 20 following SRS. The ADC maps were generated by the scanner and Ktrans and ve maps were generated using in-house software for dynamic tracer-kinetic analysis. To enable spatially-correlated voxel-wise analysis, we developed a registration pipeline to register all ADC, Ktrans and ve maps to the planning MRI scan. To interrogate longitudinal changes, we computed absolute ΔADC, ΔKtrans and Δve for day 3 and 20 post-SRS relative to day 0. We performed a Kruskall-Wallice test on each biomarker between time points and investigated dose correlations within the gross tumour volume (GTV) and surrounding high dose region > 12 Gy via Spearman’s rho. Only ve exhibited significant differences between day 0 and 20 (p < 0.005) and day 3 and 20 (p < 0.05) within the GTV following SRS. Strongest dose correlations were observed for ADC within the GTV (rho = 0.17 to 0.20) and weak correlations were observed for ADC and Ktrans in the surrounding > 12 Gy region. Both ΔKtrans and Δve showed a trend with dose at day 20 within the GTV and > 12 Gy region (rho = -0.04 to -0.16). Weak dose-related decreases in Ktrans and ve within the GTV and high dose region at day 20 most likely reflect underlying vascular responses to radiation. Our study also provides a voxel-wise analysis schema for future MR biomarker studies with the goal of elucidating surrogates for radionecrosis.
Collapse
Affiliation(s)
- Jeff D. Winter
- Radiation Medicine Program, Princess Margaret Cancer Center and University Health Network, Toronto, Ontario, Canada
| | - Fabio Y. Moraes
- Radiation Medicine Program, Princess Margaret Cancer Center and University Health Network, Toronto, Ontario, Canada
| | - Caroline Chung
- Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America
- TECHNA Institute, University Health Network, Toronto, Ontario, Canada
| | - Catherine Coolens
- Radiation Medicine Program, Princess Margaret Cancer Center and University Health Network, Toronto, Ontario, Canada
- TECHNA Institute, University Health Network, Toronto, Ontario, Canada
- Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
- Institute of Biomaterials and Biomedical Engineering, University of Toronto, Ontario, Canada
- * E-mail:
| |
Collapse
|
21
|
Perfusion MRI as a diagnostic biomarker for differentiating glioma from brain metastasis: a systematic review and meta-analysis. Eur Radiol 2018; 28:3819-3831. [PMID: 29619517 DOI: 10.1007/s00330-018-5335-0] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2017] [Revised: 01/01/2018] [Accepted: 01/16/2018] [Indexed: 10/17/2022]
Abstract
OBJECTIVES Differentiation of glioma from brain metastasis is clinically crucial because it affects the clinical outcome of patients and alters patient management. Here, we present a systematic review and meta-analysis of the currently available data on perfusion magnetic resonance imaging (MRI) for differentiating glioma from brain metastasis, assessing MRI protocols and parameters. METHODS A computerised search of Ovid-MEDLINE and EMBASE databases was performed up to 3 October 2017, to find studies on the diagnostic performance of perfusion MRI for differentiating glioma from brain metastasis. Pooled summary estimates of sensitivity and specificity were obtained using hierarchical logistic regression modelling. We conducted meta-regression and subgroup analyses to explain the effects of the study heterogeneity. RESULTS Eighteen studies with 900 patients were included. The pooled sensitivity and specificity were 90% (95% CI, 84-94%) and 91% (95% CI, 84-95%), respectively. The area under the hierarchical summary receiver operating characteristic curve was 0.96 (95% CI, 0.94-0.98). The meta-regression showed that the percentage of glioma in the study population and the study design were significant factors affecting study heterogeneity. In a subgroup analysis including patients with glioblastoma only, the pooled sensitivity was 92% (95% CI, 84-97%) and the pooled specificity was 94% (95% CI, 85-98%). CONCLUSIONS Although various perfusion MRI techniques were used, the current evidence supports the use of perfusion MRI to differentiate glioma from brain metastasis. In particular, perfusion MRI showed excellent diagnostic performance for differentiating glioblastoma from brain metastasis. KEY POINTS • Perfusion MRI shows high diagnostic performance for differentiating glioma from brain metastasis. • The pooled sensitivity was 90% and pooled specificity was 91%. • Peritumoral rCBV derived from DSC is a relatively well-validated.
Collapse
|
22
|
Kerkhof M, Ganeff I, Wiggenraad RGJ, Lycklama À Nijeholt GJ, Hammer S, Taphoorn MJB, Dirven L, Vos MJ. Clinical applicability of and changes in perfusion MR imaging in brain metastases after stereotactic radiotherapy. J Neurooncol 2018; 138:133-139. [PMID: 29392588 PMCID: PMC5928168 DOI: 10.1007/s11060-018-2779-7] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2017] [Accepted: 01/25/2018] [Indexed: 12/05/2022]
Abstract
To assess the applicability of perfusion-weighted (PWI) magnetic resonance (MR) imaging in clinical practice, as well as to evaluate the changes in PWI in brain metastases before and after stereotactic radiotherapy (SRT), and to correlate these changes to tumor status on conventional MR imaging. Serial MR images at baseline and at least 3 and 6 months after SRT were retrospectively evaluated. Size of metastases and the relative cerebral blood volume (rCBV), assessed with subjective visual inspection in the contrast enhanced area, were evaluated at each time point. Tumor behavior of metastases was categorized into four groups based on predefined changes on MRI during follow-up, or on histologically confirmed diagnosis; progressive disease (PD), pseudoprogression (PsPD), non-progressive disease (non-PD) and progression unspecified (PU). Twenty-six patients with 42 metastases were included. Fifteen percent (26/168) of all PW images could not be evaluated due to localization near large vessels or the scalp, presence of hemorrhage artefacts, and in 31% (52/168) due to unmeasurable residual metastases. The most common pattern (52%, 13/25 metastases) showed a high rCBV at baseline and low rCBV during follow-up, occurring in metastases with non-PD (23%, 3/13), PsPD (38%, 5/13) and PU (38%, 5/13). Including only metastases with a definite outcome generally showed low rCBV in PsPD or non-PD, and high rCBV in PD. Although non-PD and PsPD may be distinguished from PD after SRT using the PW images, the large proportion of images that could not be assessed due to artefacts and size severely hampers value of PWI in predicting tumor response after SRT.
Collapse
Affiliation(s)
- M Kerkhof
- Department of Neurology, Haaglanden Medical Center, PO Box 432, 2501 CK, The Hague, The Netherlands.
| | - I Ganeff
- Department of Neurology, Haaglanden Medical Center, PO Box 432, 2501 CK, The Hague, The Netherlands
| | - R G J Wiggenraad
- Department of Radiotherapy, Haaglanden Medical Center, The Hague, The Netherlands
| | | | - S Hammer
- Department of Radiology, Haaglanden Medical Center, The Hague, The Netherlands
| | - M J B Taphoorn
- Department of Neurology, Haaglanden Medical Center, PO Box 432, 2501 CK, The Hague, The Netherlands.,Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - L Dirven
- Department of Neurology, Haaglanden Medical Center, PO Box 432, 2501 CK, The Hague, The Netherlands.,Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - M J Vos
- Department of Neurology, Haaglanden Medical Center, PO Box 432, 2501 CK, The Hague, The Netherlands
| |
Collapse
|
23
|
Abstract
Magnetic resonance imaging (MRI) is the cornerstone for evaluating patients with brain masses such as primary and metastatic tumors. Important challenges in effectively detecting and diagnosing brain metastases and in accurately characterizing their subsequent response to treatment remain. These difficulties include discriminating metastases from potential mimics such as primary brain tumors and infection, detecting small metastases, and differentiating treatment response from tumor recurrence and progression. Optimal patient management could be benefited by improved and well-validated prognostic and predictive imaging markers, as well as early response markers to identify successful treatment prior to changes in tumor size. To address these fundamental needs, newer MRI techniques including diffusion and perfusion imaging, MR spectroscopy, and positron emission tomography (PET) tracers beyond traditionally used 18-fluorodeoxyglucose are the subject of extensive ongoing investigations, with several promising avenues of added value already identified. These newer techniques provide a wealth of physiologic and metabolic information that may supplement standard MR evaluation, by providing the ability to monitor and characterize cellularity, angiogenesis, perfusion, pH, hypoxia, metabolite concentrations, and other critical features of malignancy. This chapter reviews standard and advanced imaging of brain metastases provided by computed tomography, MRI, and amino acid PET, focusing on potential biomarkers that can serve as problem-solving tools in the clinical management of patients with brain metastases.
Collapse
Affiliation(s)
- Whitney B Pope
- Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA, United States.
| |
Collapse
|
24
|
Berghoff AS, Preusser M. Role of the blood-brain barrier in metastatic disease of the central nervous system. HANDBOOK OF CLINICAL NEUROLOGY 2018; 149:57-66. [PMID: 29307361 DOI: 10.1016/b978-0-12-811161-1.00004-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
Systemic therapy is an important backbone in the multimodal treatment approach of brain metastases. However, the blood-brain barrier or, more correctly, the blood-tumor barrier, as the properties of tumor-associated vessels differ from the physiologic state, potentially limits the passage of systemic drugs. Indeed, several preclinical and clinical investigations showed that the distribution of drugs is very heterogeneous within a given brain metastasis, despite the contrast enhancement in magnetic resonance imaging. Brain metastases may show lower intratumoral concentrations of some drugs as compared to extracranial tumor sites, resulting in mixed responses. Therefore, a more profound understanding of the role of the blood-brain/blood-tumor barrier is needed to effectively formulate clinical trial approaches on systemic therapy options in patients with brain metastases.
Collapse
Affiliation(s)
- Anna S Berghoff
- Clinical Division of Oncology, Department of Medicine and CNS Tumors Unit, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria
| | - Matthias Preusser
- Clinical Division of Oncology, Department of Medicine and CNS Tumors Unit, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
| |
Collapse
|
25
|
Kuchcinski G, Le Rhun E, Cortot AB, Drumez E, Duhal R, Lalisse M, Dumont J, Lopes R, Pruvo JP, Leclerc X, Delmaire C. Dynamic contrast-enhanced MR imaging pharmacokinetic parameters as predictors of treatment response of brain metastases in patients with lung cancer. Eur Radiol 2017; 27:3733-3743. [PMID: 28210799 DOI: 10.1007/s00330-017-4756-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2016] [Revised: 01/04/2017] [Accepted: 01/19/2017] [Indexed: 11/30/2022]
Abstract
OBJECTIVES To determine the diagnostic accuracy of pharmacokinetic parameters measured by dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) in predicting the response of brain metastases to antineoplastic therapy in patients with lung cancer. METHODS Forty-four consecutive patients with lung cancer, harbouring 123 newly diagnosed brain metastases prospectively underwent conventional 3-T MRI at baseline (within 1 month before treatment), during the early (7-10 weeks) and midterm (5-7 months) post-treatment period. An additional DCE MRI sequence was performed during baseline and early post-treatment MRI to evaluate baseline pharmacokinetic parameters (K trans, k ep, v e, v p) and their early variation (∆K trans, ∆k ep, ∆v e, ∆v p). The objective response was judged by the volume variation of each metastasis from baseline to midterm MRI. ROC curve analysis determined the best DCE MRI parameter to predict the objective response. RESULTS Baseline DCE MRI parameters were not associated with the objective response. Early ∆K trans, ∆v e and ∆v p were significantly associated with the objective response (p = 0.02, p = 0.001 and p = 0.02, respectively). The best predictor of objective response was ∆v e with an area under the curve of 0.93 [95% CI = 0.87, 0.99]. CONCLUSIONS DCE MRI and early ∆v e may be a useful tool to predict the objective response of brain metastases in patients with lung cancer. KEY POINTS • DCE MRI could predict the response of brain metastases from lung cancer • ∆v e was the best predictor of response • DCE MRI could be used to individualize patients' follow-up.
Collapse
Affiliation(s)
- Grégory Kuchcinski
- Department of Neuroradiology, University of Lille, CHU Lille, Rue Emile Laine, F-59000, Lille, France.
| | - Emilie Le Rhun
- Department of Neurosurgery, University of Lille, CHU Lille, F-59000, Lille, France.,Department of Medical Oncology, Oscar Lambret Center, F-59000, Lille, France.,Inserm U1192-PRISM-Laboratoire de Protéomique, Réponse Inflammatoire, Spectrométrie de Masse, F-59000, Lille, France
| | - Alexis B Cortot
- Department of Thoracic Oncology, University of Lille, CHU Lille, F-59000, Lille, France
| | - Elodie Drumez
- Department of Biostatistics, University of Lille, CHU Lille, EA 2694-Santé publique: épidémiologie et qualité des soins, F-59000, Lille, France
| | - Romain Duhal
- Department of Neuroradiology, University of Lille, CHU Lille, Rue Emile Laine, F-59000, Lille, France
| | - Maxime Lalisse
- Department of Neuroradiology, University of Lille, CHU Lille, Rue Emile Laine, F-59000, Lille, France
| | - Julien Dumont
- Department of Neuroradiology, University of Lille, CHU Lille, Rue Emile Laine, F-59000, Lille, France
| | - Renaud Lopes
- Department of Neuroradiology, University of Lille, CHU Lille, Rue Emile Laine, F-59000, Lille, France
| | - Jean-Pierre Pruvo
- Department of Neuroradiology, University of Lille, CHU Lille, Rue Emile Laine, F-59000, Lille, France
| | - Xavier Leclerc
- Department of Neuroradiology, University of Lille, CHU Lille, Rue Emile Laine, F-59000, Lille, France
| | - Christine Delmaire
- Department of Neuroradiology, University of Lille, CHU Lille, Rue Emile Laine, F-59000, Lille, France
| |
Collapse
|
26
|
Guo L, Wang G, Feng Y, Yu T, Guo Y, Bai X, Ye Z. Diffusion and perfusion weighted magnetic resonance imaging for tumor volume definition in radiotherapy of brain tumors. Radiat Oncol 2016; 11:123. [PMID: 27655356 PMCID: PMC5031292 DOI: 10.1186/s13014-016-0702-y] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2015] [Accepted: 09/13/2016] [Indexed: 12/12/2022] Open
Abstract
Accurate target volume delineation is crucial for the radiotherapy of tumors. Diffusion and perfusion magnetic resonance imaging (MRI) can provide functional information about brain tumors, and they are able to detect tumor volume and physiological changes beyond the lesions shown on conventional MRI. This review examines recent studies that utilized diffusion and perfusion MRI for tumor volume definition in radiotherapy of brain tumors, and it presents the opportunities and challenges in the integration of multimodal functional MRI into clinical practice. The results indicate that specialized and robust post-processing algorithms and tools are needed for the precise alignment of targets on the images, and comprehensive validations with more clinical data are important for the improvement of the correlation between histopathologic results and MRI parameter images.
Collapse
Affiliation(s)
- Lu Guo
- Department of Biomedical Engineering, Tianjin University, Tianjin, 300072, China
| | - Gang Wang
- Department of Biomedical Engineering, Tianjin University, Tianjin, 300072, China
| | - Yuanming Feng
- Department of Biomedical Engineering, Tianjin University, Tianjin, 300072, China. .,Department of Radiation Oncology, Tianjin Medical University Cancer Institute & Hospital, Tianjin, 300060, China. .,Department of Radiation Oncology, East Carolina University, 600 Moye Blvd, Greenville, NC, 27834, USA.
| | - Tonggang Yu
- Department of Radiology, Huashan hospital, Fudan University, Shanghai, 200040, China
| | - Yu Guo
- Department of Biomedical Engineering, Tianjin University, Tianjin, 300072, China
| | - Xu Bai
- Department of Radiology, Tianjin Medical University Cancer Institute & Hospital, Tianjin, 300060, China
| | - Zhaoxiang Ye
- Department of Radiology, Tianjin Medical University Cancer Institute & Hospital, Tianjin, 300060, China
| |
Collapse
|
27
|
Eilaghi A, Yeung T, d'Esterre C, Bauman G, Yartsev S, Easaw J, Fainardi E, Lee TY, Frayne R. Quantitative Perfusion and Permeability Biomarkers in Brain Cancer from Tomographic CT and MR Images. BIOMARKERS IN CANCER 2016; 8:47-59. [PMID: 27398030 PMCID: PMC4933536 DOI: 10.4137/bic.s31801] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/19/2015] [Revised: 11/03/2015] [Accepted: 11/06/2015] [Indexed: 12/28/2022]
Abstract
Dynamic contrast-enhanced perfusion and permeability imaging, using computed tomography and magnetic resonance systems, are important techniques for assessing the vascular supply and hemodynamics of healthy brain parenchyma and tumors. These techniques can measure blood flow, blood volume, and blood-brain barrier permeability surface area product and, thus, may provide information complementary to clinical and pathological assessments. These have been used as biomarkers to enhance the treatment planning process, to optimize treatment decision-making, and to enable monitoring of the treatment noninvasively. In this review, the principles of magnetic resonance and computed tomography dynamic contrast-enhanced perfusion and permeability imaging are described (with an emphasis on their commonalities), and the potential values of these techniques for differentiating high-grade gliomas from other brain lesions, distinguishing true progression from posttreatment effects, and predicting survival after radiotherapy, chemotherapy, and antiangiogenic treatments are presented.
Collapse
Affiliation(s)
- Armin Eilaghi
- Department of Radiology, University of Calgary, Calgary, AB, Canada.; Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada.; Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada.; Seaman Family MR Centre, Foothills Medical Centre, Calgary, AB, Canada
| | - Timothy Yeung
- Lawson Health Research Institute and Robarts Research Institute, London, ON, Canada
| | - Christopher d'Esterre
- Department of Radiology, University of Calgary, Calgary, AB, Canada.; Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada.; Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada.; Seaman Family MR Centre, Foothills Medical Centre, Calgary, AB, Canada
| | - Glenn Bauman
- Lawson Health Research Institute and Robarts Research Institute, London, ON, Canada
| | - Slav Yartsev
- Lawson Health Research Institute and Robarts Research Institute, London, ON, Canada
| | - Jay Easaw
- Department of Oncology, University of Calgary, Calgary, AB, Canada
| | - Enrico Fainardi
- Neuroradiology Unit, Department of Neurosciences and Rehabilitation, Azienda Ospedaliero-Universitaria, Arcispedale S. Anna, Ferrara, Italy.; Neuroradiology Unit, Department of Radiology, Azienda Ospedaliero-Universitaria Careggi, Firenze, Italy
| | - Ting-Yim Lee
- Lawson Health Research Institute and Robarts Research Institute, London, ON, Canada
| | - Richard Frayne
- Department of Radiology, University of Calgary, Calgary, AB, Canada.; Department of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada.; Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada.; Seaman Family MR Centre, Foothills Medical Centre, Calgary, AB, Canada
| |
Collapse
|
28
|
Jakubovic R, Zhou S, Heyn C, Soliman H, Zhang L, Aviv R, Sahgal A. The predictive capacity of apparent diffusion coefficient (ADC) in response assessment of brain metastases following radiation. Clin Exp Metastasis 2016; 33:277-84. [PMID: 26786978 DOI: 10.1007/s10585-016-9778-x] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2015] [Accepted: 01/16/2016] [Indexed: 01/17/2023]
Abstract
To investigate the predictive capacity of the apparent diffusion coefficient (ADC) as a biomarker of radiation response in brain metastases. Seventy brain metastases from 42 patients treated with either stereotactic radiosurgery or whole brain radiotherapy were imaged at baseline, 1 week, and 1 month post-treatment using diffusion-weighted MRI. Mean and median relative ADC for metastases was calculated by normalizing ADC measurements to baseline ADC. At 1 year post-treatment, or last available follow-up MRI, volume criteria determined final tumour response status. Uni- and multivariate analysis was used to account for factors associated with tumour response at 1 week and 1 month. A generalized estimating equations model took into consideration multiple tumours per subject. Optimal thresholds that distinguished responders from non-responders, as well as sensitivity and specificity were determined by receiver operator characteristic analysis and Youden's index. Lower relative ADC values distinguished responders from non-responders at 1 week and 1 month (P < 0.05). Optimal cut-off values for response were 1.060 at 1 week with a sensitivity and specificity of 75.0 and 56.3 %, respectively. At 1 month, the cut-off was 0.971 with a sensitivity and specificity of 70.0 and 68.8 %, respectively. A multivariate general estimating equations analysis identified no prior radiation [odds ratio (OR) 0.211 and 0.137, P = 0.033 and 0.0177], and a lower median relative ADC at 1 week and 1 month (OR 0.619 and 0.694, P = 0.0036 and 0.005), as predictors of tumour response. Lower relative ADC values at 1 week and 1 month following radiation distinguished responders from non-responders and may be a promising biomarker of early radiation response.
Collapse
Affiliation(s)
- Raphael Jakubovic
- Department of Medical Imaging, Sunnybrook Health Sciences Center, University of Toronto, Toronto, ON, Canada
| | - Stephanie Zhou
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada
| | - Chris Heyn
- Department of Medical Imaging, Sunnybrook Health Sciences Center, University of Toronto, Toronto, ON, Canada
| | - Hany Soliman
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada
| | - Liyang Zhang
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada
| | - Richard Aviv
- Department of Medical Imaging, Sunnybrook Health Sciences Center, University of Toronto, Toronto, ON, Canada
| | - Arjun Sahgal
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada.
| |
Collapse
|
29
|
Kim H, Hartman YE, Zhai G, Chung TK, Korb ML, Beasley TM, Zhou T, Rosenthal EL. Dynamic contrast-enhanced MRI evaluates the early response of human head and neck tumor xenografts following anti-EMMPRIN therapy with cisplatin or irradiation. J Magn Reson Imaging 2015; 42:936-45. [PMID: 25704985 DOI: 10.1002/jmri.24871] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2014] [Accepted: 01/28/2015] [Indexed: 12/12/2022] Open
Abstract
PURPOSE To assess the early therapeutic effects of anti-EMMPRIN (extracellular matrix metalloprotease inducer) antibody with/without cisplatin or X-ray radiation in head and neck cancer mouse models using dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). MATERIALS AND METHODS Mice bearing SCC1 (or OSC19) tumor xenografts were treated with anti-EMMPRIN antibody, radiation, cisplatin, or anti-EMMPRIN antibody plus cisplatin (or radiation) for a week (n = 4-5 per group). DCE-MRI was carried out on a 9.4T small animal MR scanner on days 0, 3, and 7, and K(trans) values were averaged in a 0.5-mm-thick peripheral tumor region. Ki67 and CD31 staining were implemented for all tumors after imaging. RESULTS The K(trans) changes of SCC1 and OSC19 tumors treated with anti-EMMPRIN antibody for 3 days were -18 ± 8% and 4 ± 7%, respectively, which were significantly lower than those of control groups (39 ± 5% and 45 ± 7%; P = 0.0025 and 0.0220, respectively). When cisplatin was added, those were -42 ± 9% and -44 ± 9%, respectively, and with radiation, -45 ± 9% and -27 ± 10%, respectively, which were also significantly lower than those of control groups (P < 0.0001 for all four comparisons). In the eight groups untreated (served as control) or treated with anti-EMMPRIN antibody with/without cisplatin or radiation, the mean K(trans) change for 3 days was significantly correlated with the mean tumor volume change for 7 days (r = 0.74, P = 0.0346), Ki67-expressing cell density (r = 0.96, P = 0.0001), and CD31 density (r = 0.84, P = 0.0084). CONCLUSION DCE-MRI might be utilized to assess the early therapeutic effects of anti-EMMPRIN antibody with/without chemotherapy or radiotherapy in head and neck cancer.
Collapse
Affiliation(s)
- Hyunki Kim
- Department of Radiology, University of Alabama at Birmingham, Birmingham, Alabama, USA.,Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Yolanda E Hartman
- Department of Surgery, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Guihua Zhai
- Department of Radiology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Thomas K Chung
- Department of Surgery, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Melissa L Korb
- Department of Surgery, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Timothy M Beasley
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Tong Zhou
- Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Eben L Rosenthal
- Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, Alabama, USA.,Department of Surgery, University of Alabama at Birmingham, Birmingham, Alabama, USA
| |
Collapse
|
30
|
Delmaire C, Savatovsky J, Boulanger T, Dhermain F, Le Rhun E, Météllus P, Gerber S, Carsin-Nicole B, Petyt G. Imagerie des métastases cérébrales. Cancer Radiother 2015; 19:16-9. [DOI: 10.1016/j.canrad.2014.11.008] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2014] [Accepted: 11/26/2014] [Indexed: 11/30/2022]
|