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Taori S, Wei Z, Deng H, Lunsford LD, Niranjan A. The Role of Stereotactic Radiosurgery in Patients With Brain Metastases From Colorectal Cancers. Neurosurgery 2024; 94:828-837. [PMID: 37975668 DOI: 10.1227/neu.0000000000002749] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 09/20/2023] [Indexed: 11/19/2023] Open
Abstract
BACKGROUND AND OBJECTIVES The role of stereotactic radiosurgery (SRS) in patients with brain metastases (BMs) from colorectal cancers (CRCs) has not been established. The authors present a single-institution experience of patients with CRC who underwent SRS with metastatic brain spread. METHODS We retrospectively analyzed 111 patients with metastatic CRC (64 female, 57.7%), with 449 BMs treated with Gamma Knife SRS between 2000 and 2022. The median age during SRS was 63 years (range: 28-86), and the median Karnofsky Performance Scale was 80 (range: 60-100). The primary sites were colon (85 patients, 76.6%) and rectal (26 patients, 23.4%). Three patients underwent hypofractionated SRS (3 sessions) with a median margin dose of 27 Gy (range: 27-30). All other patients underwent single-session SRS with a median margin dose of 18 Gy (range: 13-20). RESULTS The median patient survival after SRS was 7 months (range: 1-174). Ninety-eight (88.3%) patients expired at last follow-up and 15 patients (15.3%) died related to progressive intracranial disease. A Karnofsky Performance Scale of <80 at SRS presentation ( P = .02, hazard ratio [HR]: 0.6, 95% CI: 0.4-0.9) and no previous surgical resection ( P < .01, HR: 0.4, 95% CI: 0.3-0.7) were associated with inferior overall survival using multivariate analysis. Seventeen patients (15.3%) had documented local tumor progression after SRS, at a median time of 7 months (range: 3-34) between SRS and progression. Twenty-six patients (23.4%) developed new BMs at a median of 5 months (range: 2-26) between SRS and new tumor detection. Less than three BMs at SRS presentation ( P = .02, HR: 2.6, 95% CI: 1.2-5.6) were associated with better distant tumor control on multivariate analysis. The incidence of adverse radiation effects was 5.4%. CONCLUSION SRS effectively controls BMs from CRC with low risk of treatment-related toxicity. During follow-up, the development of additional metastases can be safely treated by repeat SRS.
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Affiliation(s)
- Suchet Taori
- School of Medicine, University of Pittsburgh Medical Center, Pennsylvania , Pennsylvania , USA
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pennsylvania , Pennsylvania , USA
| | - Zhishuo Wei
- School of Medicine, University of Pittsburgh Medical Center, Pennsylvania , Pennsylvania , USA
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pennsylvania , Pennsylvania , USA
| | - Hansen Deng
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pennsylvania , Pennsylvania , USA
| | - L Dade Lunsford
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pennsylvania , Pennsylvania , USA
| | - Ajay Niranjan
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pennsylvania , Pennsylvania , USA
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Shi W, Tanzhu G, Chen L, Ning J, Wang H, Xiao G, Peng H, Jing D, Liang H, Nie J, Yi M, Zhou R. Radiotherapy in Preclinical Models of Brain Metastases: A Review and Recommendations for Future Studies. Int J Biol Sci 2024; 20:765-783. [PMID: 38169621 PMCID: PMC10758094 DOI: 10.7150/ijbs.91295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 12/14/2023] [Indexed: 01/05/2024] Open
Abstract
Brain metastases (BMs) frequently occur in primary tumors such as lung cancer, breast cancer, and melanoma, and are associated with notably short natural survival. In addition to surgical interventions, chemotherapy, targeted therapy, and immunotherapy, radiotherapy (RT) is a crucial treatment for BM and encompasses whole-brain radiotherapy (WBRT) and stereotactic radiosurgery (SRS). Validating the efficacy and safety of treatment regimens through preclinical models is imperative for successful translation to clinical application. This not only advances fundamental research but also forms the theoretical foundation for clinical study. This review, grounded in animal models of brain metastases (AM-BM), explores the theoretical underpinnings and practical applications of radiotherapy in combination with chemotherapy, targeted therapy, immunotherapy, and emerging technologies such as nanomaterials and oxygen-containing microbubbles. Initially, we provided a concise overview of the establishment of AM-BMs. Subsequently, we summarize key RT parameters (RT mode, dose, fraction, dose rate) and their corresponding effects in AM-BMs. Finally, we present a comprehensive analysis of the current research status and future directions for combination therapy based on RT. In summary, there is presently no standardized regimen for AM-BM treatment involving RT. Further research is essential to deepen our understanding of the relationships between various parameters and their respective effects.
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Affiliation(s)
- Wen Shi
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan Province, China
| | - Guilong Tanzhu
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan Province, China
| | - Liu Chen
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan Province, China
| | - Jiaoyang Ning
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan Province, China
| | - Hongji Wang
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan Province, China
| | - Gang Xiao
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan Province, China
| | - Haiqin Peng
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan Province, China
| | - Di Jing
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan Province, China
| | - Huadong Liang
- Department of Technology, Hunan SJA Laboratory Animal Co., Ltd., Changsha, Hunan Province, China
| | - Jing Nie
- Department of Technology, Hunan SJA Laboratory Animal Co., Ltd., Changsha, Hunan Province, China
| | - Min Yi
- Department of Technology, Hunan SJA Laboratory Animal Co., Ltd., Changsha, Hunan Province, China
| | - Rongrong Zhou
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan Province, China
- Xiangya Lung Cancer Center, Xiangya Hospital, Central South University, Changsha, 410008, Hunan Province, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, Hunan Province, China
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Cao Y, Parekh VS, Lee E, Chen X, Redmond KJ, Pillai JJ, Peng L, Jacobs MA, Kleinberg LR. A Multidimensional Connectomics- and Radiomics-Based Advanced Machine-Learning Framework to Distinguish Radiation Necrosis from True Progression in Brain Metastases. Cancers (Basel) 2023; 15:4113. [PMID: 37627141 PMCID: PMC10452423 DOI: 10.3390/cancers15164113] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 08/07/2023] [Accepted: 08/08/2023] [Indexed: 08/27/2023] Open
Abstract
We introduce tumor connectomics, a novel MRI-based complex graph theory framework that describes the intricate network of relationships within the tumor and surrounding tissue, and combine this with multiparametric radiomics (mpRad) in a machine-learning approach to distinguish radiation necrosis (RN) from true progression (TP). Pathologically confirmed cases of RN vs. TP in brain metastases treated with SRS were included from a single institution. The region of interest was manually segmented as the single largest diameter of the T1 post-contrast (T1C) lesion plus the corresponding area of T2 FLAIR hyperintensity. There were 40 mpRad features and 6 connectomics features extracted, as well as 5 clinical and treatment factors. We developed an Integrated Radiomics Informatics System (IRIS) based on an Isomap support vector machine (IsoSVM) model to distinguish TP from RN using leave-one-out cross-validation. Class imbalance was resolved with differential misclassification weighting during model training using the IRIS. In total, 135 lesions in 110 patients were analyzed, including 43 cases (31.9%) of pathologically proven RN and 92 cases (68.1%) of TP. The top-performing connectomics features were three centrality measures of degree, betweenness, and eigenvector centralities. Combining these with the 10 top-performing mpRad features, an optimized IsoSVM model was able to produce a sensitivity of 0.87, specificity of 0.84, AUC-ROC of 0.89 (95% CI: 0.82-0.94), and AUC-PR of 0.94 (95% CI: 0.87-0.97).
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Affiliation(s)
- Yilin Cao
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA
- Department of Radiation Oncology, Dana-Farber/Brigham and Women’s Cancer Center, Harvard Medical School, Boston, MA 02115, USA
| | - Vishwa S. Parekh
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA
- University of Maryland Medical Intelligent Imaging (UM2ii) Center, Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD 20201, USA
| | - Emerson Lee
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA
| | - Xuguang Chen
- Department of Radiation Oncology, University of North Carolina, Chapel Hill, NC 27514, USA
| | - Kristin J. Redmond
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA
| | - Jay J. Pillai
- Division of Neuroradiology, Mayo Clinic, Rochester, MN 55905, USA
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA
| | - Luke Peng
- Department of Radiation Oncology, Dana-Farber/Brigham and Women’s Cancer Center, Harvard Medical School, Boston, MA 02115, USA
| | - Michael A. Jacobs
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA
- Department of Diagnostics and Interventional Imaging, McGovern Medical School, Houston, TX 77030, USA
| | - Lawrence R. Kleinberg
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA
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Sohn JJ, Lim S, Das IJ, Yadav P. An integrated and fast imaging quality assurance phantom for a 0.35 T magnetic resonance imaging linear accelerator. Phys Imaging Radiat Oncol 2023; 27:100462. [PMID: 37449023 PMCID: PMC10338140 DOI: 10.1016/j.phro.2023.100462] [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: 01/30/2023] [Revised: 06/17/2023] [Accepted: 06/20/2023] [Indexed: 07/18/2023] Open
Abstract
Purpose Periodic imaging quality assurance (QA) of magnetic resonance imaging linear accelerator (MRL) is critical. The feasibility of a new MRL imaging phantom used for QA in the low field was evaluated with automated image analysis of various parameters for accuracy and reproducibility. Methods and materials The new MRL imaging phantom was scanned across every 30 degrees of the gantry, having the on/off state of the linac in a low-field MRL system using three magnetic resonance imaging sequences: true fast imaging with steady-state precession (TrueFISP), T1 weighted (T1W), and T2 weighted (T2W). The DICOM files were used to calculate the imaging parameters: geometric distortion, uniformity, resolution, signal-to-noise ratio (SNR), and laser alignment. The point spread function (PSF) and edge spread function (ESF) were also calculated for resolution analysis. Results The phantom data showed a small standard deviation - and high consistency for each imaging parameter. The highest variability in data was observed with the true fast imaging sequence at the calibration angle, which was expected because of low resolution and short scan time (25 sec). The mean magnitude of the largest distortion measured within 200 mm diameter with TrueFISP was 0.31 ± 0.05 mm. The PSF, ESF, signal uniformity, and SNR measurements remained consistent. Laser alignment traditional offsets and angular deviation remained consistent. Conclusions The new MRL imaging phantom is reliable, reproducible, time effective, and easy to use for a 0.35 T MRL system. The results promise a more streamlined, time-saving, and error-free QA process for low-field MRL adapted in our clinical setting.
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Affiliation(s)
| | | | | | - Poonam Yadav
- Corresponding author at: Department of Radiation Oncology, Northwestern Memorial Hospital, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA.
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Katzendobler S, Do A, Weller J, Rejeski K, Dorostkar MM, Albert NL, Forbrig R, Niyazi M, Egensperger R, Tonn JC, Baumgarten LV, Quach S, Thon N. The value of stereotactic biopsy of primary and recurrent brain metastases in the era of precision medicine. Front Oncol 2022; 12:1014711. [PMID: 36605448 PMCID: PMC9808072 DOI: 10.3389/fonc.2022.1014711] [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: 08/08/2022] [Accepted: 11/30/2022] [Indexed: 12/24/2022] Open
Abstract
Background Brain metastases (BM) represent the most frequent intracranial tumors with increasing incidence. Many primary tumors are currently treated in protocols that incorporate targeted therapies either upfront or for progressive metastatic disease. Hence, molecular markers are gaining increasing importance in the diagnostic framework of BM. In cases with diagnostic uncertainty, both in newly diagnosed or recurrent BM, stereotactic biopsy serves as an alternative to microsurgical resection particularly whenever resection is not deemed to be safe or feasible. This retrospective study aimed to analyze both diagnostic yield and safety of an image-guided frame based stereotactic biopsy technique (STX). Material and methods Our institutional neurosurgical data base was searched for any surgical procedure for suspected brain metastases between January 2016 and March 2021. Of these, only patients with STX were included. Clinical parameters, procedural complications, and tissue histology and concomitant molecular signature were assessed. Results Overall, 467 patients were identified including 234 (50%) with STX. Median age at biopsy was 64 years (range 29 - 87 years). MRI was used for frame-based trajectory planning in every case with additional PET-guidance in 38 cases (16%). In total, serial tumor probes provided a definite diagnosis in 230 procedures (98%). In 4 cases (1.7%), the pathological tissue did not allow a definitive neuropathological diagnosis. 24 cases had to be excluded due to non-metastatic histology, leaving 206 cases for further analyses. 114 patients (49%) exhibited newly diagnosed BM, while 46 patients (20%) displayed progressive BM. Pseudoprogression was seen in 46 patients, a median of 12 months after prior therapy. Pseudoprogression was always confirmed by clinical course. Metastatic tissue was found most frequently from lung cancer (40%), followed by breast cancer (9%), and malignant melanoma (7%). Other entities included gastrointestinal cancer, squamous cell cancer, renal cell carcinoma, and thyroid cancer, respectively. In 9 cases (4%), the tumor origin could not be identified (cancer of unknown primary). Molecular genetic analyses were successful in 137 out of 144 analyzed cases (95%). Additional next-generation sequencing revealed conclusive results in 12/18 (67%) cases. Relevant peri-procedural complications were observed in 5 cases (2.4%), which were all transient. No permanent morbidity or mortality was noted. Conclusion In patients with BM, frame-based stereotactic biopsy constitutes a safe procedure with a high diagnostic yield. Importantly, this extended to discerning pseudoprogression from tumor relapse after prior therapy. Thus, comprehensive molecular characterization based on minimal-invasive stereotactic biopsies lays the foundation for precision medicine approaches in the treatment of primary and recurrent BM.
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Affiliation(s)
- Sophie Katzendobler
- Department of Neurosurgery, University Hospital, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany
| | - Anna Do
- Department of Neurosurgery, University Hospital, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany
| | - Jonathan Weller
- Department of Neurosurgery, University Hospital, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany
| | - Kai Rejeski
- Department of Medicine III, Hematology and Oncology, University Hospital, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany,German Cancer Consortium (DKTK), Partner Site Munich, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Mario M. Dorostkar
- Center for Neuropathology and Prion Research, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany
| | - Nathalie L. Albert
- German Cancer Consortium (DKTK), Partner Site Munich, German Cancer Research Center (DKFZ), Heidelberg, Germany,Department of Nuclear Medicine, University Hospital, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany
| | - Robert Forbrig
- Institute of Neuroradiology, University Hospital, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany
| | - Maximilian Niyazi
- German Cancer Consortium (DKTK), Partner Site Munich, German Cancer Research Center (DKFZ), Heidelberg, Germany,Department of Radiation Oncology, University Hospital, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany
| | - Rupert Egensperger
- Center for Neuropathology and Prion Research, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany
| | - Joerg-Christian Tonn
- Department of Neurosurgery, University Hospital, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany,German Cancer Consortium (DKTK), Partner Site Munich, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Louisa v. Baumgarten
- Department of Neurosurgery, University Hospital, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany,German Cancer Consortium (DKTK), Partner Site Munich, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Stefanie Quach
- Department of Neurosurgery, University Hospital, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany
| | - Niklas Thon
- Department of Neurosurgery, University Hospital, Ludwig-Maximilians-Universität (LMU) Munich, Munich, Germany,German Cancer Consortium (DKTK), Partner Site Munich, German Cancer Research Center (DKFZ), Heidelberg, Germany,*Correspondence: Niklas Thon,
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Teunissen WHT, Govaerts CW, Kramer MCA, Labrecque JA, Smits M, Dirven L, van der Hoorn A. Diagnostic accuracy of MRI techniques for treatment response evaluation in patients with brain metastasis: A systematic review and meta-analysis. Radiother Oncol 2022; 177:121-133. [PMID: 36377093 DOI: 10.1016/j.radonc.2022.10.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 10/11/2022] [Accepted: 10/21/2022] [Indexed: 11/12/2022]
Abstract
BACKGROUND Treatment response assessment in patients with brain metastasis uses contrast enhanced T1-weighted MRI. Advanced MRI techniques have been studied, but the diagnostic accuracy is not well known. Therefore, we performed a metaanalysis to assess the diagnostic accuracy of the currently available MRI techniques for treatment response. METHODS A systematic literature search was done. Study selection and data extraction were done by two authors independently. Meta-analysis was performed using a bivariate random effects model. An independent cohort was used for DSC perfusion external validation of diagnostic accuracy. RESULTS Anatomical MRI (16 studies, 726 lesions) showed a pooled sensitivity of 79% and a specificity of 76%. DCE perfusion (4 studies, 114 lesions) showed a pooled sensitivity of 74% and a specificity of 92%. DSC perfusion (12 studies, 418 lesions) showed a pooled sensitivity was 83% with a specificity of 78%. Diffusion weighted imaging (7 studies, 288 lesions) showed a pooled sensitivity of 67% and a specificity of 79%. MRS (4 studies, 54 lesions) showed a pooled sensitivity of 80% and a specificity of 78%. Combined techniques (6 studies, 375 lesions) showed a pooled sensitivity of 84% and a specificity of 88%. External validation of DSC showed a lower sensitivity and a higher specificity for the reported cut-off values included in this metaanalysis. CONCLUSION A combination of techniques shows the highest diagnostic accuracy differentiating tumor progression from treatment induced abnormalities. External validation of imaging results is important to better define the reliability of imaging results with the different techniques.
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Affiliation(s)
- Wouter H T Teunissen
- Erasmus MC, department of Radiology and Nuclear Medicine, Rotterdam, the Netherlands; Brain Tumor Centre, Erasmus MC Cancer Institute, Rotterdam, the Netherlands; Medical Delta, Delft, The Netherlands
| | - Chris W Govaerts
- University Medical Center Groningen, Medical imaging center, department of Radiology, Groningen, the Netherlands
| | - Miranda C A Kramer
- University Medical Center Groningen, department of Radiotherapy, Groningen, the Netherlands
| | - Jeremy A Labrecque
- Erasmus MC, Netherlands Institute for Health Science (NIHES), Rotterdam, the Netherlands
| | - Marion Smits
- Erasmus MC, department of Radiology and Nuclear Medicine, Rotterdam, the Netherlands; Brain Tumor Centre, Erasmus MC Cancer Institute, Rotterdam, the Netherlands; Medical Delta, Delft, The Netherlands
| | - Linda Dirven
- Leiden University Medical Center, department of Neurology, Leiden, the Netherlands; Haaglanden Medical Center, department of Neurology, The Hague, the Netherlands
| | - Anouk van der Hoorn
- University Medical Center Groningen, Medical imaging center, department of Radiology, Groningen, the Netherlands.
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Park C, Buckley ED, Van Swearingen AED, Giles W, Herndon JE, Kirkpatrick JP, Anders CK, Floyd SR. Systemic Therapy Type and Timing Effects on Radiation Necrosis Risk in HER2+ Breast Cancer Brain Metastases Patients Treated With Stereotactic Radiosurgery. Front Oncol 2022; 12:854364. [PMID: 35669439 PMCID: PMC9163666 DOI: 10.3389/fonc.2022.854364] [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] [Received: 01/13/2022] [Accepted: 04/14/2022] [Indexed: 11/25/2022] Open
Abstract
Background There is a concern that HER2-directed systemic therapies, when administered concurrently with stereotactic radiosurgery (SRS), may increase the risk of radiation necrosis (RN). This study explores the impact of timing and type of systemic therapies on the development of RN in patients treated with SRS for HER2+ breast cancer brain metastasis (BCBrM). Methods This was a single-institution, retrospective study including patients >18 years of age with HER2+ BCBrM who received SRS between 2013 and 2018 and with at least 12-month post-SRS follow-up. Presence of RN was determined via imaging at one-year post-SRS, with confirmation by biopsy in some patients. Demographics, radiotherapy parameters, and timing (“during” defined as four weeks pre- to four weeks post-SRS) and type of systemic therapy (e.g., chemotherapy, HER2-directed) were evaluated. Results Among 46 patients with HER2+ BCBrM who received SRS, 28 (60.9%) developed RN and 18 (39.1%) did not based on imaging criteria. Of the 11 patients who underwent biopsy, 10/10 (100%) who were diagnosed with RN on imaging were confirmed to be RN positive on biopsy and 1/1 (100%) who was not diagnosed with RN was confirmed to be RN negative on biopsy. Age (mean 53.3 vs 50.4 years, respectively), radiotherapy parameters (including total dose, fractionation, CTV and size target volume, all p>0.05), and receipt of any type of systemic therapy during SRS (60.7% vs 55.6%, p=0.97) did not differ between patients who did or did not develop RN. However, there was a trend for patients who developed RN to have received more than one agent of HER2-directed therapy independent of SRS timing compared to those who did not develop RN (75.0% vs 44.4%, p=0.08). Moreover, a significantly higher proportion of those who developed RN received more than one agent of HER2-directed therapy during SRS treatment compared to those who did not develop RN (35.7% vs 5.6%, p=0.047). Conclusions Patients with HER2 BCBrM who receive multiple HER2-directed therapies during SRS for BCBrM may be at higher risk of RN. Collectively, these data suggest that, in the eight-week window around SRS administration, if HER2-directed therapy is medically necessary, it is preferable that patients receive a single agent.
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Affiliation(s)
- Christine Park
- Department of Medicine, Duke University Medical Center, Durham, NC, United States
| | - Evan D. Buckley
- Duke Cancer Institute Biostatistics, Duke University Medical Center, Durham, NC, United States
| | - Amanda E. D. Van Swearingen
- Department of Medicine, Duke University Medical Center, Durham, NC, United States
- Duke Center for Brain and Spine Metastasis, Duke Cancer Institute, Duke University Medical Center, Durham, NC, United States
| | - Will Giles
- Department of Radiation Oncology, Duke University Medical Center, Durham, NC, United States
| | - James E. Herndon
- Duke Cancer Institute Biostatistics, Duke University Medical Center, Durham, NC, United States
- Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, NC, United States
| | - John P. Kirkpatrick
- Duke Center for Brain and Spine Metastasis, Duke Cancer Institute, Duke University Medical Center, Durham, NC, United States
- Department of Radiation Oncology, Duke University Medical Center, Durham, NC, United States
- Department of Neurosurgery, Duke University Medical Center, Durham, NC, United States
| | - Carey K. Anders
- Department of Medicine, Duke University Medical Center, Durham, NC, United States
- Duke Center for Brain and Spine Metastasis, Duke Cancer Institute, Duke University Medical Center, Durham, NC, United States
| | - Scott R. Floyd
- Duke Center for Brain and Spine Metastasis, Duke Cancer Institute, Duke University Medical Center, Durham, NC, United States
- Department of Radiation Oncology, Duke University Medical Center, Durham, NC, United States
- *Correspondence: Scott R. Floyd,
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8
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Bodensohn R, Forbrig R, Quach S, Reis J, Boulesteix AL, Mansmann U, Hadi I, Fleischmann D, Mücke J, Holzgreve A, Albert N, Ruf V, Dorostkar M, Corradini S, Herms J, Belka C, Thon N, Niyazi M. MRI-based contrast clearance analysis shows high differentiation accuracy between radiation-induced reactions and progressive disease after cranial radiotherapy. ESMO Open 2022; 7:100424. [PMID: 35248822 PMCID: PMC9058918 DOI: 10.1016/j.esmoop.2022.100424] [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] [Received: 12/02/2021] [Revised: 01/31/2022] [Accepted: 02/01/2022] [Indexed: 11/26/2022] Open
Abstract
Background Pseudoprogression (PsP) or radiation necrosis (RN) may frequently occur after cranial radiotherapy and show a similar imaging pattern compared with progressive disease (PD). We aimed to evaluate the diagnostic accuracy of magnetic resonance imaging-based contrast clearance analysis (CCA) in this clinical setting. Patients and methods Patients with equivocal imaging findings after cranial radiotherapy were consecutively included into this monocentric prospective study. CCA was carried out by software-based automated subtraction of imaging features in late versus early T1-weighted sequences after contrast agent application. Two experienced neuroradiologists evaluated CCA with respect to PsP/RN and PD being blinded for histological findings. The radiological assessment was compared with the histopathological results, and its accuracy was calculated statistically. Results A total of 33 patients were included; 16 (48.5%) were treated because of a primary brain tumor (BT), and 17 (51.1%) because of a secondary BT. In one patient, CCA was technically infeasible. The accuracy of CCA in predicting the histological result was 0.84 [95% confidence interval (CI) 0.67-0.95; one-sided P = 0.051; n = 32]. Sensitivity and specificity of CCA were 0.93 (95% CI 0.66-1.00) and 0.78 (95% CI 0.52-0.94), respectively. The accuracy in patients with secondary BTs was 0.94 (95% CI 0.71-1.00) and nonsignificantly higher compared with patients with primary BT with an accuracy of 0.73 (95% CI 0.45-0.92), P = 0.16. Conclusions In this study, CCA was a highly accurate, easy, and helpful method for distinguishing PsP or RN from PD after cranial radiotherapy, especially in patients with secondary tumors after radiosurgical treatment. CCA is accurate in distinguishing treatment reactions from true PD. CCA was more accurate for irradiated metastases than primary BTs. CCA is not feasible for lesions with no contrast media uptake.
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9
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Sankey EW, Grabowski MM, Srinivasan ES, Griffin AS, Howell EP, Otvos B, Tsvankin V, Barnett GH, Mohammadi AM, Fecci PE. Time to Steroid Independence After Laser Interstitial Thermal Therapy vs Medical Management for Treatment of Biopsy-Proven Radiation Necrosis Secondary to Stereotactic Radiosurgery for Brain Metastasis. Neurosurgery 2022; 90:684-690. [DOI: 10.1227/neu.0000000000001922] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2021] [Accepted: 12/05/2021] [Indexed: 12/14/2022] Open
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10
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Srinivasan ES, Grabowski MM, Nahed BV, Barnett GH, Fecci PE. Laser interstitial thermal therapy for brain metastases. Neurooncol Adv 2021; 3:v16-v25. [PMID: 34859229 PMCID: PMC8633752 DOI: 10.1093/noajnl/vdab128] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Laser interstitial thermal therapy (LITT) is a minimally invasive treatment for intracranial lesions entailing thermal ablation via a stereotactically placed laser probe. In metastatic disease, it has shown the most promise in the treatment of radiographically progressive lesions after initial stereotactic radiosurgery, whether due to recurrent metastatic disease or radiation necrosis. LITT has been demonstrated to provide clinical benefit in both cases, as discussed in the review below. With its minimal surgical footprint and short recovery period, LITT is further advantaged for patients who are otherwise high-risk surgical candidates or with lesions in difficult to access locations. Exploration of the current data on its use in metastatic disease will allow for a better understanding of the indications, benefits, and future directions of LITT for these patients.
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Affiliation(s)
| | - Matthew M Grabowski
- Department of Neurosurgery, Cleveland Clinic & Case Comprehensive Cancer Center, Cleveland, Ohio, USA
| | - Brian V Nahed
- Department of Neurosurgery, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Gene H Barnett
- Department of Neurosurgery, Cleveland Clinic & Case Comprehensive Cancer Center, Cleveland, Ohio, USA
| | - Peter E Fecci
- Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina, USA
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11
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Abstract
PURPOSE OF REVIEW This review aims to cover current MRI techniques for assessing treatment response in brain tumors, with a focus on radio-induced lesions. RECENT FINDINGS Pseudoprogression and radionecrosis are common radiological entities after brain tumor irradiation and are difficult to distinguish from real progression, with major consequences on daily patient care. To date, shortcomings of conventional MRI have been largely recognized but morphological sequences are still used in official response assessment criteria. Several complementary advanced techniques have been proposed but none of them have been validated, hampering their clinical use. Among advanced MRI, brain perfusion measures increase diagnostic accuracy, especially when added with spectroscopy and susceptibility-weighted imaging. However, lack of reproducibility, because of several hard-to-control variables, is still a major limitation for their standardization in routine protocols. Amide Proton Transfer is an emerging molecular imaging technique that promises to offer new metrics by indirectly quantifying intracellular mobile proteins and peptide concentration. Preliminary studies suggest that this noncontrast sequence may add key biomarkers in tumor evaluation, especially in posttherapeutic settings. SUMMARY Benefits and pitfalls of conventional and advanced imaging on posttreatment assessment are discussed and the potential added value of APT in this clinicoradiological evolving scenario is introduced.
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Affiliation(s)
- Lucia Nichelli
- Department of Neuroradiology, Sorbonne Université, Assistance Publique-Hôpitaux de Paris, Groupe Hospitalier Pitié-Salpêtrière-Charles Foix
- Sorbonne Université, INSERM, CNRS, Assistance Publique-Hôpitaux de Paris, Institut du Cerveau et de la Moelle épinière, boulevard de l’Hôpital, Paris
| | - Stefano Casagranda
- Department of Research & Innovation, Olea Medical, avenue des Sorbiers, La Ciotat, France
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12
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Hong CS, Beckta JM, Kundishora AJ, Elsamadicy AA, Chiang VL. Laser interstitial thermal therapy for treatment of cerebral radiation necrosis. Int J Hyperthermia 2021; 37:68-76. [PMID: 32672119 DOI: 10.1080/02656736.2020.1760362] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
Abstract
Radiation necrosis is a well described complication after radiosurgical treatment of intracranial pathologies - best recognized after the treatment of patients with arteriovenous malformations and brain metastases but possibly also affecting patients treated with radiosurgery for meningioma. The pathophysiology of radiation necrosis is still not well understood but is most likely a secondary local tissue inflammatory response to brain tissue injured by radiation. Radiation necrosis in brain metastases patients may present radiographically and behave clinically like recurrent tumor. Differentiation between radiation necrosis and recurrent tumor has been difficult based on radiographic changes alone. Biopsy or craniotomy therefore remains the gold standard method of diagnosis. For symptomatic patients, corticosteroids are first-line therapy, but patients may fail medical management due to intolerance of chronic steroids or persistence of symptoms. In these cases, open surgical resection has been shown to be successful in management of surgically amenable lesions but may be suboptimal in patients with deep-seated lesions or extensive prior cranial surgical history, both carrying high risk for peri-operative morbidity. Laser interstitial thermal therapy has emerged as a viable, alternative surgical option. In addition to allowing access to tissue for diagnosis, thermal treatment of the lesion can also be delivered precisely and accurately under real-time imaging guidance. This review highlights the pertinent studies that have shaped the impetus for use of laser interstitial thermal therapy in the treatment of radiation necrosis, reviewing indications, outcomes, and nuances toward successful application of this technology in patients with suspected radiation necrosis.
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Affiliation(s)
- Christopher S Hong
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, USA
| | - Jason M Beckta
- Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, CT, USA
| | - Adam J Kundishora
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, USA
| | - Aladine A Elsamadicy
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, USA
| | - Veronica L Chiang
- Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, USA.,Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, CT, USA
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13
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Kaufmann TJ, Smits M, Boxerman J, Huang R, Barboriak DP, Weller M, Chung C, Tsien C, Brown PD, Shankar L, Galanis E, Gerstner E, van den Bent MJ, Burns TC, Parney IF, Dunn G, Brastianos PK, Lin NU, Wen PY, Ellingson BM. Consensus recommendations for a standardized brain tumor imaging protocol for clinical trials in brain metastases. Neuro Oncol 2021; 22:757-772. [PMID: 32048719 PMCID: PMC7283031 DOI: 10.1093/neuonc/noaa030] [Citation(s) in RCA: 120] [Impact Index Per Article: 40.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
A recent meeting was held on March 22, 2019, among the FDA, clinical scientists, pharmaceutical and biotech companies, clinical trials cooperative groups, and patient advocacy groups to discuss challenges and potential solutions for increasing development of therapeutics for central nervous system metastases. A key issue identified at this meeting was the need for consistent tumor measurement for reliable tumor response assessment, including the first step of standardized image acquisition with an MRI protocol that could be implemented in multicenter studies aimed at testing new therapeutics. This document builds upon previous consensus recommendations for a standardized brain tumor imaging protocol (BTIP) in high-grade gliomas and defines a protocol for brain metastases (BTIP-BM) that addresses unique challenges associated with assessment of CNS metastases. The "minimum standard" recommended pulse sequences include: (i) parameter matched pre- and post-contrast inversion recovery (IR)-prepared, isotropic 3D T1-weighted gradient echo (IR-GRE); (ii) axial 2D T2-weighted turbo spin echo acquired after injection of gadolinium-based contrast agent and before post-contrast 3D T1-weighted images; (iii) axial 2D or 3D T2-weighted fluid attenuated inversion recovery; (iv) axial 2D, 3-directional diffusion-weighted images; and (v) post-contrast 2D T1-weighted spin echo images for increased lesion conspicuity. Recommended sequence parameters are provided for both 1.5T and 3T MR systems. An "ideal" protocol is also provided, which replaces IR-GRE with 3D TSE T1-weighted imaging pre- and post-gadolinium, and is best performed at 3T, for which dynamic susceptibility contrast perfusion is included. Recommended perfusion parameters are given.
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Affiliation(s)
| | - Marion Smits
- Department of Radiology and Nuclear Medicine, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Jerrold Boxerman
- Department of Diagnostic Imaging, Rhode Island Hospital and Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Raymond Huang
- Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Daniel P Barboriak
- Department of Radiology, Duke University School of Medicine, Durham, North Carolina, USA
| | - Michael Weller
- Department of Neurology & Brain Tumor Center, University Hospital and University of Zurich, Zurich, Switzerland
| | - Caroline Chung
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Christina Tsien
- Department of Radiation Oncology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Paul D Brown
- Department of Radiation Oncology, Mayo Clinic, Rochester, Minnesota, USA
| | - Lalitha Shankar
- Division of Cancer Treatment and Diagnosis, National Cancer Institute (NCI), Bethesda, Maryland, USA
| | - Evanthia Galanis
- Division of Medical Oncology, Department of Oncology, Mayo Clinic, Rochester, Minnesota, USA
| | - Elizabeth Gerstner
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | | | - Terry C Burns
- Department of Neurosurgery, Mayo Clinic, Rochester, Minnesota, USA
| | - Ian F Parney
- Department of Neurosurgery, Mayo Clinic, Rochester, Minnesota, USA
| | - Gavin Dunn
- Department of Neurological Surgery, Washington University, St Louis, Missouri, USA
| | - Priscilla K Brastianos
- Departments of Medicine and Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Nancy U Lin
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA
| | - Patrick Y Wen
- Center for Neuro-Oncology, Dana-Farber/Brigham and Women's Cancer Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Benjamin M Ellingson
- UCLA Brain Tumor Imaging Laboratory, Center for Computer Vision and Imaging Biomarkers, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA.,Departments of Radiological Sciences and Psychiatry, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA
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14
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Clinical Experience of Cerebrospinal Fluid-Based Liquid Biopsy Demonstrates Superiority of Cell-Free DNA over Cell Pellet Genomic DNA for Molecular Profiling. J Mol Diagn 2021; 23:742-752. [PMID: 33781965 DOI: 10.1016/j.jmoldx.2021.03.001] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 02/26/2021] [Accepted: 03/15/2021] [Indexed: 02/08/2023] Open
Abstract
Cell-free DNA (cfDNA) from cerebrospinal fluid (CSF) offers unique opportunities for genomic profiling of tumors involving the central nervous system but remains uncommonly used in clinical practice. We describe our clinical experience using cfDNA from CSF for routine molecular testing using Memorial Sloan Kettering Integrated Mutation Profiling of Actionable Cancer Targets (targeting 468 cancer-related genes). In all, 148 cfDNA samples were assessed, comparing results of cfDNA versus genomic DNA (gDNA; gDNA from cell pellets) derived from the same CSF sample and the primary tumor. Of these, 71.6% (106/148) were successfully sequenced. Somatic alterations (mutations and fusions) were observed in 70.8% (75/106) of the samples; 97.3% (73/75) comprised variants confirming central nervous system involvement by a previously diagnosed tumor, 14.7% (11/75) had additional variants consistent with a therapy-related resistance mechanism, and 2.7% (2/75) had variants that independently diagnosed a new primary. Among samples with paired cfDNA and gDNA sequencing results, cfDNA was more frequently positive for at least one mutation [43.6% (55/126) versus 19.8% (25/126)] and harbored 1.6× more mutations (6.94 versus 4.65; P = 0.005), with higher mean variant allele fractions (41.1% versus 13.0%; P < 0.0001). Among mutation-positive cfDNAs, the corresponding gDNA was frequently negative (44.6%; 25/55) or failed sequencing (17.8%; 9/55). Routine molecular profiling of cfDNA is superior to gDNA from CSF, facilitating the capture of mutations at high variant allele frequency, even in the context of a negative cytology.
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15
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Kim AH, Tatter S, Rao G, Prabhu S, Chen C, Fecci P, Chiang V, Smith K, Williams BJ, Mohammadi AM, Judy K, Sloan A, Tovar-Spinoza Z, Baumgartner J, Hadjipanayis C, Leuthardt EC. Laser Ablation of Abnormal Neurological Tissue Using Robotic NeuroBlate System (LAANTERN): 12-Month Outcomes and Quality of Life After Brain Tumor Ablation. Neurosurgery 2021; 87:E338-E346. [PMID: 32315434 PMCID: PMC7534487 DOI: 10.1093/neuros/nyaa071] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Accepted: 01/28/2020] [Indexed: 12/01/2022] Open
Abstract
BACKGROUND Laser Ablation of Abnormal Neurological Tissue using Robotic NeuroBlate System
(LAANTERN) is an ongoing multicenter prospective NeuroBlate (Monteris Medical) LITT
(laser interstitial thermal therapy) registry collecting real-world outcomes and
quality-of-life (QoL) data. OBJECTIVE To compare 12-mo outcomes from all subjects undergoing LITT for intracranial
tumors/neoplasms. METHODS Demographics, intraprocedural data, adverse events, QoL, hospitalizations, health
economics, and survival data are collected; standard data management and monitoring
occur. RESULTS A total of 14 centers enrolled 223 subjects; the median follow-up was 223 d. There were
119 (53.4%) females and 104 (46.6%) males. The median age was 54.3 yr (range 3-86) and
72.6% had at least 1 baseline comorbidity. The median baseline Karnofsky Performance
Score (KPS) was 90. Of the ablated tumors, 131 were primary and 92 were metastatic. Most
patients with primary tumors had high-grade gliomas (80.9%). Patients with metastatic
cancer had recurrence (50.6%) or radiation necrosis (40%). The median postprocedure
hospital stay was 33.4 h (12.7-733.4). The 1-yr estimated survival rate was 73%, and
this was not impacted by disease etiology. Patient-reported QoL as assessed by the
Functional Assessment of Cancer Therapy-Brain was stabilized postprocedure. KPS declined
by an average of 5.7 to 10.5 points postprocedure; however, 50.5% had
stabilized/improved KPS at 6 mo. There were no significant differences in KPS or QoL
between patients with metastatic vs primary tumors. CONCLUSION Results from the ongoing LAANTERN registry demonstrate that LITT stabilizes and
improves QoL from baseline levels in a malignant brain tumor patient population with
high rates of comorbidities. Overall survival was better than anticipated for a
real-world registry and comparative to published literature.
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Affiliation(s)
- Albert H Kim
- Department of Neurosurgery, Washington University, St. Louis, Missouri
| | - Steven Tatter
- Department of Neurosurgery, Wake Forest University School of Medicine, Winston-Salem, North Carolina
| | - Ganesh Rao
- Department of Neurosurgery, University of Texas MDA Cancer Center, Houston, Texas
| | - Sujit Prabhu
- Department of Neurosurgery, University of Texas MDA Cancer Center, Houston, Texas
| | - Clark Chen
- Department of Neurosurgery, University of California San Diego, San Diego, California.,Department of Neurosurgery, University of Minnesota, Minneapolis, Minnesota
| | - Peter Fecci
- Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina
| | - Veronica Chiang
- Department of Neurosurgery, Yale University, New Haven, Connecticut
| | - Kris Smith
- Department of Neurosurgery, Barrow Neurological Institute, Phoenix, Arizona
| | - Brian J Williams
- Department of Neurosurgery, University of Louisville, Louisville, Kentucky
| | | | - Kevin Judy
- Department of Neurological Surgery, Thomas Jefferson University, Philadelphia, Pennsylvania
| | - Andrew Sloan
- Department of Neurological Surgery, University Hospitals Cleveland Medical Center, Cleveland, Ohio
| | | | | | | | - Eric C Leuthardt
- Department of Neurosurgery, Washington University, St. Louis, Missouri
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16
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Skeie BS, Enger PØ, Knisely J, Pedersen PH, Heggdal JI, Eide GE, Skeie GO. A simple score to estimate the likelihood of pseudoprogression vs. recurrence following stereotactic radiosurgery for brain metastases: The Bergen Criteria. Neurooncol Adv 2020; 2:vdaa026. [PMID: 32642686 PMCID: PMC7212847 DOI: 10.1093/noajnl/vdaa026] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Background A major challenge in the follow-up of patients treated with stereotactic radiosurgery (SRS) for brain metastases (BM) is to distinguish pseudoprogression (PP) from tumor recurrence (TR). The aim of the study was to develop a clinical risk assessment score. Methods Follow-up images of 87 of 97 consecutive patients treated with SRS for 348 BM were analyzed. Of these, 100 (28.7%) BM in 48 (53.9%) patients responded with either TR (n = 53, 15%) or PP (n = 47, 14%). Differences between the 2 groups were analyzed and used to develop a risk assessment score (the Bergen Criteria). Results Factors associated with a higher incidence of PP vs. TR were as follows: prior radiation with whole brain radiotherapy or SRS (P = .001), target cover ratio ≥98% (P = .048), BM volume ≤2 cm3 (P = .054), and primary lung cancer vs. other cancer types (P = .084). Based on the presence (0) or absence (1) of these 5 characteristics, the Bergen Criteria was established. A total score <2 points was associated with 100% PP, 2 points with 57% PP and 43% TR, 3 points with 57% TR and 43% PP, whereas >3 points were associated with 84% TR and 16% PP, P < .001. Conclusion Based on 5 characteristics at the time of SRS the Bergen Criteria could robustly differentiate between PP vs. TR following SRS. The score is user-friendly and provides a useful tool to guide the decision making whether to retreat or observe at appropriate follow-up intervals.
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Affiliation(s)
| | - Per Øyvind Enger
- Department of Neurosurgery, Stavanger University Hospital, Stavanger, Norway
| | - Jonathan Knisely
- Department of Radiation Oncology, Weill Cornell Medical College, New York, NY, USA
| | | | - Jan Ingeman Heggdal
- Department of Oncology and Medical Physics, Haukeland University Hospital, Bergen, Norway
| | - Geir Egil Eide
- Department of Global Public Health and Primary Care, University of Bergen, Norway.,Centre for Clinical Research, Haukeland University Hospital, Bergen, Norway
| | - Geir Olve Skeie
- Department of Neurology, Haukeland University Hospital, Bergen, Norway
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17
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Loi M, Caini S, Scoccianti S, Bonomo P, De Vries K, Francolini G, Simontacchi G, Greto D, Desideri I, Meattini I, Nuyttens J, Livi L. Stereotactic reirradiation for local failure of brain metastases following previous radiosurgery: Systematic review and meta-analysis. Crit Rev Oncol Hematol 2020; 153:103043. [PMID: 32650217 DOI: 10.1016/j.critrevonc.2020.103043] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Revised: 06/23/2020] [Accepted: 06/29/2020] [Indexed: 12/24/2022] Open
Abstract
INTRODUCTION Local failure (LF) following stereotactic radiosurgery (SRS) of brain metastases (BM) may be treated with a second course of SRS (SRS2), though this procedure may increase the risk of symptomatic radionecrosis (RN). METHODS A literature search was conducted according to PRISMA to identify studies reporting LF, overall survival (OS) and RN rates following SRS2. Meta-analysis was performed to identify predictors of RN. RESULTS Analysis included 11 studies (335 patients,389 metastases). Pooled 1-year LF was 24 %(CI95 % 19-30 %): heterogeneity was acceptable (I2 = 21.4 %). Median pooled OS was 14 months (Confidence Interval 95 %, CI95 % 8.8-22.0 months). Cumulative crude RN rate was 13 % (95 %CI 8 %-19 %), with acceptable heterogeneity (I2 = 40.3 %). Subgroup analysis showed higher RN incidence in studies with median patient age ≥59 years (13 % [95 %CI 8 %-19 %] vs 7 %[95 %CI 3 %-12 %], p = 0.004) and lower incidence following prior Whole Brain Radiotherapy (WBRT, 19 %[95 %CI 13 %-25 %] vs 7%[95 %CI 3 %-13 %], p = 0.004). CONCLUSIONS SRS2 is an effective strategy for in-site recurrence of BM previously treated with SRS.
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Affiliation(s)
- Mauro Loi
- Radiotherapy Department, University of Florence, Florence, Italy.
| | - Saverio Caini
- Cancer Risk Factors and Lifestyle Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | | | - Pierluigi Bonomo
- Radiotherapy Department, University of Florence, Florence, Italy
| | - Kim De Vries
- Department of Radiation Oncology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | | | | | - Daniela Greto
- Radiotherapy Department, University of Florence, Florence, Italy
| | - Isacco Desideri
- Radiotherapy Department, University of Florence, Florence, Italy
| | - Icro Meattini
- Radiotherapy Department, University of Florence, Florence, Italy
| | - Joost Nuyttens
- Department of Radiation Oncology, Erasmus MC Cancer Institute, Rotterdam, the Netherlands
| | - Lorenzo Livi
- Radiotherapy Department, University of Florence, Florence, Italy
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18
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Moravan MJ, Fecci PE, Anders CK, Clarke JM, Salama AKS, Adamson JD, Floyd SR, Torok JA, Salama JK, Sampson JH, Sperduto PW, Kirkpatrick JP. Current multidisciplinary management of brain metastases. Cancer 2020; 126:1390-1406. [PMID: 31971613 DOI: 10.1002/cncr.32714] [Citation(s) in RCA: 56] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Revised: 12/08/2019] [Accepted: 12/19/2019] [Indexed: 12/31/2022]
Abstract
Brain metastasis (BM), the most common adult brain tumor, develops in 20% to 40% of patients with late-stage cancer and traditionally are associated with a poor prognosis. The management of patients with BM has become increasingly complex because of new and emerging systemic therapies and advancements in radiation oncology and neurosurgery. Current therapies include stereotactic radiosurgery, whole-brain radiation therapy, surgical resection, laser-interstitial thermal therapy, systemic cytotoxic chemotherapy, targeted agents, and immune-checkpoint inhibitors. Determining the optimal treatment for a specific patient has become increasingly individualized, emphasizing the need for multidisciplinary discussions of patients with BM. Recognizing and addressing the sequelae of BMs and their treatment while maintaining quality of life and neurocognition is especially important because survival for patients with BMs has improved. The authors present current and emerging treatment options for patients with BM and suggest approaches for managing sequelae and disease recurrence.
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Affiliation(s)
- Michael J Moravan
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina.,Department of Radiation Oncology, Durham Veterans Affairs Medical Center, Durham, North Carolina
| | - Peter E Fecci
- Department of Neurosurgery, Duke University Hospital, Durham, North Carolina
| | - Carey K Anders
- Department of Internal Medicine, Division of Medical Oncology, Duke University Hospital, Durham, North Carolina
| | - Jeffrey M Clarke
- Department of Internal Medicine, Division of Medical Oncology, Duke University Hospital, Durham, North Carolina
| | - April K S Salama
- Department of Internal Medicine, Division of Medical Oncology, Duke University Hospital, Durham, North Carolina
| | - Justus D Adamson
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina
| | - Scott R Floyd
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina
| | - Jordan A Torok
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina
| | - Joseph K Salama
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina.,Department of Radiation Oncology, Durham Veterans Affairs Medical Center, Durham, North Carolina
| | - John H Sampson
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina.,Department of Neurosurgery, Duke University Hospital, Durham, North Carolina
| | - Paul W Sperduto
- Minneapolis Radiation Oncology, Minneapolis, Minnesota.,University of Minnesota Gamma Knife Center, Minneapolis, Minnesota
| | - John P Kirkpatrick
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina.,Department of Neurosurgery, Duke University Hospital, Durham, North Carolina
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19
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Sankey EW, Tsvankin V, Grabowski MM, Nayar G, Batich KA, Risman A, Champion CD, Salama AKS, Goodwin CR, Fecci PE. Operative and peri-operative considerations in the management of brain metastasis. Cancer Med 2019; 8:6809-6831. [PMID: 31568689 PMCID: PMC6853809 DOI: 10.1002/cam4.2577] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2019] [Revised: 09/07/2019] [Accepted: 09/09/2019] [Indexed: 12/24/2022] Open
Abstract
The number of patients who develop metastatic brain lesions is increasing as the diagnosis and treatment of systemic cancers continues to improve, resulting in longer patient survival. The role of surgery in the management of brain metastasis (BM), particularly multiple and recurrent metastases, remains controversial and continues to evolve. However, with appropriate patient selection, outcomes after surgery are typically favorable. In addition, surgery is the only means to obtain a tissue diagnosis and is the only effective treatment modality to quickly relieve neurological complications or life‐threatening symptoms related to significant mass effect, CSF obstruction, and peritumoral edema. As such, a thorough understanding of the role of surgery in patients with metastatic brain lesions, as well as the factors associated with surgical outcomes, is essential for the effective management of this unique and growing patient population.
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Affiliation(s)
- Eric W Sankey
- Department of Neurosurgery, Duke University Medical Center, Durham, NC, USA
| | - Vadim Tsvankin
- Department of Neurosurgery, Duke University Medical Center, Durham, NC, USA
| | | | - Gautam Nayar
- Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Kristen A Batich
- Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Aida Risman
- School of Medicine, Medical College of Georgia, Augusta, GA, USA
| | - Cosette D Champion
- Department of Neurosurgery, Duke University Medical Center, Durham, NC, USA
| | - April K S Salama
- Division of Medical Oncology, Duke University Medical Center, Durham, NC, USA
| | - C Rory Goodwin
- Department of Neurosurgery, Duke University Medical Center, Durham, NC, USA
| | - Peter E Fecci
- Department of Neurosurgery, Duke University Medical Center, Durham, NC, USA
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20
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Cerebral Radiation Necrosis: Incidence, Pathogenesis, Diagnostic Challenges, and Future Opportunities. Curr Oncol Rep 2019; 21:66. [PMID: 31218455 DOI: 10.1007/s11912-019-0818-y] [Citation(s) in RCA: 63] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
PURPOSE OF REVIEW Cerebral radiation necrosis (CRN) is a major dose-limiting adverse event of radiotherapy. The incidence rate of RN varies with the radiotherapy modality, total dose, dose fractionation, and the nature of the lesion being targeted. In addition to these known and controllable features, there is a stochastic component to the occurrence of CRN-the genetic profile of the host or the lesion and their role in the development of CRN. RECENT FINDINGS Recent studies provide some insight into the genetic mechanisms underlying radiation-induced brain injury. In addition to these incompletely understood host factors, the diagnostic criteria for CRN using structural and functional imaging are also not clear, though multiple structural and functional imaging modalities exist, a combination of which may prove to be the ideal diagnostic imaging approach. As the utilization of novel molecular therapies and immunotherapy increases, the incidence of CNR is expected to increase and its diagnosis will become more challenging. Tissue biopsies can be insensitive and suffer from sampling biases and procedural risks. Liquid biopsies represent a promising, accurate, and non-invasive diagnostic strategy, though this modality is currently in its infancy. A better understanding of the pathogenesis of CRN will expand and optimize the diagnosis and management of CRN by better utilizing existing treatment options including bevacizumab, pentoxifylline, hyperbaric oxygen therapy, and laser interstitial thermal therapy.
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21
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Fecci PE, Champion CD, Hoj J, McKernan CM, Goodwin CR, Kirkpatrick JP, Anders CK, Pendergast AM, Sampson JH. The Evolving Modern Management of Brain Metastasis. Clin Cancer Res 2019; 25:6570-6580. [PMID: 31213459 DOI: 10.1158/1078-0432.ccr-18-1624] [Citation(s) in RCA: 74] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Revised: 04/23/2019] [Accepted: 06/13/2019] [Indexed: 12/11/2022]
Abstract
The incidence of brain metastases is increasing as cancer therapies improve and patients live longer, providing new challenges to the multidisciplinary teams that care for these patients. Brain metastatic cancer cells possess unique characteristics that allow them to penetrate the blood-brain barrier, colonize the brain parenchyma, and persist in the intracranial environment. In addition, brain metastases subvert the innate and adaptive immune system, permitting evasion of the antitumor immune response. Better understanding of the above mechanisms will allow for development and delivery of more effective therapies for brain metastases. In this review, we outline the molecular mechanisms underlying development, survival, and immunosuppression of brain metastases. We also discuss current and emerging treatment strategies, including surgery, radiation, disease-specific and mutation-targeted systemic therapy, and immunotherapy.
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Affiliation(s)
- Peter E Fecci
- Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina.,Duke Center for Brain and Spinal Metastases, Duke University Medical Center, Durham, North Carolina
| | - Cosette D Champion
- Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina.,Duke Center for Brain and Spinal Metastases, Duke University Medical Center, Durham, North Carolina
| | - Jacob Hoj
- Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, North Carolina
| | - Courtney M McKernan
- Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, North Carolina
| | - C Rory Goodwin
- Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina.,Duke Center for Brain and Spinal Metastases, Duke University Medical Center, Durham, North Carolina
| | - John P Kirkpatrick
- Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina.,Duke Center for Brain and Spinal Metastases, Duke University Medical Center, Durham, North Carolina.,Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina
| | - Carey K Anders
- Duke Cancer Institute, Division of Medical Oncology, Duke University Medical Center, Durham, North Carolina
| | - Ann Marie Pendergast
- Department of Pharmacology and Cancer Biology, Duke University School of Medicine, Durham, North Carolina
| | - John H Sampson
- Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina. .,Duke Center for Brain and Spinal Metastases, Duke University Medical Center, Durham, North Carolina
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22
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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.
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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:
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23
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Loganadane G, Dhermain F, Louvel G, Kauv P, Deutsch E, Le Péchoux C, Levy A. Brain Radiation Necrosis: Current Management With a Focus on Non-small Cell Lung Cancer Patients. Front Oncol 2018; 8:336. [PMID: 30234011 PMCID: PMC6134016 DOI: 10.3389/fonc.2018.00336] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2018] [Accepted: 08/02/2018] [Indexed: 12/25/2022] Open
Abstract
As the prognosis of metastatic non-small cell lung cancer (NSCLC) patients is constantly improving with advances in systemic therapies (immune checkpoint blockers and new generation of targeted molecular compounds), more attention should be paid to the diagnosis and management of treatments-related long-term secondary effects. Brain metastases (BM) occur frequently in the natural history of NSCLC and stereotactic radiation therapy (SRT) is one of the main efficient local non-invasive therapeutic methods. However, SRT may have some disabling side effects. Brain radiation necrosis (RN) represents one of the main limiting toxicities, generally occurring from 6 months to several years after treatment. The diagnosis of RN itself may be quite challenging, as conventional imaging is frequently not able to differentiate RN from BM recurrence. Retrospective studies have suggested increased incidence rates of RN in NSCLC patients with oncogenic driver mutations [epidermal growth factor receptor (EGFR) mutated or anaplastic lymphoma kinase (ALK) positive] or receiving tyrosine kinase inhibitors. The risk of immune checkpoint inhibitors in contributing to RN remains controversial. Treatment modalities for RN have not been prospectively compared. Those include surveillance, corticosteroids, bevacizumab and local interventions (minimally invasive laser interstitial thermal ablation or surgery). The aim of this review is to describe and discuss possible RN management options in the light of the newly available literature, with a particular focus on NSCLC patients.
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Affiliation(s)
| | - Frédéric Dhermain
- Department of Radiation Oncology, Gustave Roussy, Université Paris-Saclay, Villejuif, France
| | - Guillaume Louvel
- Department of Radiation Oncology, Gustave Roussy, Université Paris-Saclay, Villejuif, France
| | - Paul Kauv
- Department of Neuroradiology, AP-HP, CHU Henri Mondor, University of Paris-Est, Créteil, France
| | - Eric Deutsch
- Department of Radiation Oncology, Gustave Roussy, Université Paris-Saclay, Villejuif, France.,INSERM U1030, Molecular Radiotherapy, Gustave Roussy, Université Paris-Saclay, Villejuif, France.,Université Paris-Sud, Université Paris-Saclay, Le Kremlin-Bicêtre, France
| | - Cécile Le Péchoux
- Department of Radiation Oncology, Gustave Roussy, Université Paris-Saclay, Villejuif, France
| | - Antonin Levy
- Department of Radiation Oncology, Gustave Roussy, Université Paris-Saclay, Villejuif, France.,INSERM U1030, Molecular Radiotherapy, Gustave Roussy, Université Paris-Saclay, Villejuif, France.,Université Paris-Sud, Université Paris-Saclay, Le Kremlin-Bicêtre, France
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24
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Thust SC, van den Bent MJ, Smits M. Pseudoprogression of brain tumors. J Magn Reson Imaging 2018; 48:571-589. [PMID: 29734497 PMCID: PMC6175399 DOI: 10.1002/jmri.26171] [Citation(s) in RCA: 168] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2018] [Accepted: 04/07/2018] [Indexed: 12/11/2022] Open
Abstract
This review describes the definition, incidence, clinical implications, and magnetic resonance imaging (MRI) findings of pseudoprogression of brain tumors, in particular, but not limited to, high-grade glioma. Pseudoprogression is an important clinical problem after brain tumor treatment, interfering not only with day-to-day patient care but also the execution and interpretation of clinical trials. Radiologically, pseudoprogression is defined as a new or enlarging area(s) of contrast agent enhancement, in the absence of true tumor growth, which subsides or stabilizes without a change in therapy. The clinical definitions of pseudoprogression have been quite variable, which may explain some of the differences in reported incidences, which range from 9-30%. Conventional structural MRI is insufficient for distinguishing pseudoprogression from true progressive disease, and advanced imaging is needed to obtain higher levels of diagnostic certainty. Perfusion MRI is the most widely used imaging technique to diagnose pseudoprogression and has high reported diagnostic accuracy. Diagnostic performance of MR spectroscopy (MRS) appears to be somewhat higher, but MRS is less suitable for the routine and universal application in brain tumor follow-up. The combination of MRS and diffusion-weighted imaging and/or perfusion MRI seems to be particularly powerful, with diagnostic accuracy reaching up to or even greater than 90%. While diagnostic performance can be high with appropriate implementation and interpretation, even a combination of techniques, however, does not provide 100% accuracy. It should also be noted that most studies to date are small, heterogeneous, and retrospective in nature. Future improvements in diagnostic accuracy can be expected with harmonization of acquisition and postprocessing, quantitative MRI and computer-aided diagnostic technology, and meticulous evaluation with clinical and pathological data. LEVEL OF EVIDENCE 3 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2018.
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Affiliation(s)
- Stefanie C. Thust
- Lysholm Neuroradiology DepartmentNational Hospital for Neurology and NeurosurgeryLondonUK
- Department of Brain Rehabilitation and RepairUCL Institute of NeurologyLondonUK
- Imaging DepartmentUniversity College London HospitalLondonUK
| | - Martin J. van den Bent
- Department of NeurologyThe Brain Tumor Centre at Erasmus MC Cancer InstituteRotterdamThe Netherlands
| | - Marion Smits
- Department of Radiology and Nuclear Medicine, Erasmus MCUniversity Medical Centre RotterdamRotterdamThe Netherlands
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25
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Li H, Deng L, Bai HX, Sun J, Cao Y, Tao Y, States LJ, Farwell MD, Zhang P, Xiao B, Yang L. Diagnostic Accuracy of Amino Acid and FDG-PET in Differentiating Brain Metastasis Recurrence from Radionecrosis after Radiotherapy: A Systematic Review and Meta-Analysis. AJNR Am J Neuroradiol 2018; 39:280-288. [PMID: 29242363 DOI: 10.3174/ajnr.a5472] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2017] [Accepted: 09/19/2017] [Indexed: 02/06/2023]
Abstract
BACKGROUND Current studies that analyze the usefulness of amino acid and FDG-PET in distinguishing brain metastasis recurrence and radionecrosis after radiation therapy are limited by small cohort size. PURPOSE Our aim was to assess the diagnostic accuracy of amino acid and FDG-PET in differentiating brain metastasis recurrence from radionecrosis after radiation therapy. DATA SOURCES Studies were retrieved from PubMed, Embase, and the Cochrane Library. STUDY SELECTION Fifteen studies were included from the literature. Each study used PET to differentiate radiation necrosis from tumor recurrence in contrast-enhancing lesions on follow-up brain MR imaging after treating brain metastasis with radiation therapy. DATA ANALYSIS Data were analyzed with a bivariate random-effects model. Sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio were pooled, and a summary receiver operating characteristic curve was fit to the data. DATA SYNTHESIS The overall pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio of PET were 0.85, 0.88, 7.0, 0.17, and 40, respectively. The area under the receiver operating characteristic curve was 0.93. On subgroup analysis of different tracers, amino acid and FDG-PET had similar diagnostic accuracy. Meta-regression analysis demonstrated that the method of quantification based on patient, lesion, or PET scan (based on lesion versus not, P = .07) contributed to the heterogeneity. LIMITATIONS Our study was limited by small sample size, and 60% of the included studies were of retrospective design. CONCLUSIONS Amino acid and FDG-PET had good diagnostic accuracy in differentiating brain metastasis recurrence from radionecrosis after radiation therapy.
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Affiliation(s)
- H Li
- From the Department of Neurology (H.L., L.D., L.Y.), Second Xiangya Hospital of Central South University, Changsha, Hunan Province, People's Republic of China
| | - L Deng
- From the Department of Neurology (H.L., L.D., L.Y.), Second Xiangya Hospital of Central South University, Changsha, Hunan Province, People's Republic of China
| | - H X Bai
- Departments of Radiology (H.X.B., J.S., M.D.F.)
| | - J Sun
- Departments of Radiology (H.X.B., J.S., M.D.F.)
| | - Y Cao
- Cancer Research Institute (Y.C., Y.T.), Central South University, Changsha, Hunan Province, People's Republic of China
| | - Y Tao
- Cancer Research Institute (Y.C., Y.T.), Central South University, Changsha, Hunan Province, People's Republic of China
| | - L J States
- Department of Radiology (L.J.S.), Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - M D Farwell
- Departments of Radiology (H.X.B., J.S., M.D.F.)
| | - P Zhang
- Pathology (P.Z.), Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania
| | - B Xiao
- Department of Neurology (B.X.), Xiangya Hospital of Central South University, Changsha, Hunan Province, People's Republic of China.
| | - L Yang
- From the Department of Neurology (H.L., L.D., L.Y.), Second Xiangya Hospital of Central South University, Changsha, Hunan Province, People's Republic of China
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26
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Lopes MBS. Metastatic diseases of the central nervous system - neuropathologic aspects. HANDBOOK OF CLINICAL NEUROLOGY 2018; 149:67-73. [PMID: 29307362 DOI: 10.1016/b978-0-12-811161-1.00005-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
A large percentage of patients with cancer will develop brain metastases, and many of them will die within a few months following diagnosis of intracranial metastasis. Although the majority of the central nervous system metastases are derived from a well-known primary neoplasm, about 5-10% of brain metastases are from an unknown source, making the tissue diagnosis a first step in the search for a primary malignancy. The pathologist utilizes several immunohistochemical and molecular diagnostic tools for such investigation, helping the clinical oncologist to narrow down the clinical and radiologic exploration. Recently, analysis of actionable biomarkers for target therapy in brain metastasis has become significant due to reports of discrepancy of potential biomarkers between primary tumors and metastatic brain deposits.
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Affiliation(s)
- M Beatriz S Lopes
- Departments of Pathology and Neurological Surgery, University of Virginia School of Medicine, Charlottesville, VA, United States.
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