1
|
Pham DQ, Sheehan DE, Sheehan KA, Katsos K, Fadul CE. Quality of life after stereotactic radiosurgery for brain metastasis: an assessment from a prospective national registry. J Neurooncol 2025; 171:383-391. [PMID: 39432027 PMCID: PMC11695642 DOI: 10.1007/s11060-024-04854-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2024] [Accepted: 10/08/2024] [Indexed: 10/22/2024]
Abstract
PURPOSE Stereotactic radiosurgery (SRS) is frequently used in the management of brain metastasis patients. However, there is an urgent need to evaluate post-treatment outcomes and quality of life metrics for patients undergoing SRS for brain metastases. METHODS The NeuroPoint Alliance (NPA) SRS Quality Registry conducted prospective enrollment of patients undergoing SRS from 2017 to 2024. Patients with brain metastases from lung cancer, breast cancer, and melanoma were included in the analysis. Outcomes of interest included quality of life metrics, as captured by the five-dimension Euro-QOL (EQ-5D) at 6-12 months and last record follow-up, overall survival, local progression, out-of-field progression, and overall intracranial progression. RESULTS 522 patients comprised our analytic cohort, and 315 patients had available EQ-5D data at the time of SRS and final follow-up. 264 (47.8%), 197 (35.7%), and 91 (16.5%) patients had 1, 2-4, and 5-14 lesions pre-SRS, respectively. The median overall survival time from diagnosis was 27.3 months. The median time-to-local progression was not reached. At final follow-up, 107 (34.0%) patients had improvement, 51 (16.2%) patients had stable, and 113 patients (35.9%) had worsening EQ-5D scores when compared to baseline. For 44 (13.9%) patients mixed responses across the EQ-5D indices were reported. Linear regression analysis showed that male sex, smoking status, primary tumor type, time-to-overall progression, cumulative intracranial tumor volume (CITV), and baseline EQ-5D were statistically significantly associated with EQ-5D single index at the final follow-up. CONCLUSION Real-world data from the SRS NPA Registry demonstrated that most patients with brain metastasis had no change or improvement in quality of life after SRS. Baseline EQ-5D was predictive of EQ-5D single index at final follow-up, and, as such, EQ-5D at baseline would be a valuable assessment measure for brain metastasis patients undergoing SRS.
Collapse
Affiliation(s)
- Duy Q Pham
- University of Virginia School of Medicine, Charlottesville, Virginia, USA.
- University of Virginia School of Medicine Inova Campus, 3300 Gallows Road, Falls Church, VA, 22042, USA.
| | - Darrah E Sheehan
- Department of Biomedical Engineering, University of Virginia Health System, Charlottesville, Virginia, USA
| | - Kimball A Sheehan
- Department of Biomedical Engineering, University of Virginia Health System, Charlottesville, Virginia, USA
| | | | - Camilo E Fadul
- Division of Neuro-Oncology, Department of Neurology, University of Virginia Health System, Charlottesville, Virginia, USA
| |
Collapse
|
2
|
Kanakarajan H, De Baene W, Gehring K, Eekers DBP, Hanssens P, Sitskoorn M. Factors associated with the local control of brain metastases: a systematic search and machine learning application. BMC Med Inform Decis Mak 2024; 24:177. [PMID: 38907265 PMCID: PMC11191176 DOI: 10.1186/s12911-024-02579-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Accepted: 06/17/2024] [Indexed: 06/23/2024] Open
Abstract
BACKGROUND Enhancing Local Control (LC) of brain metastases is pivotal for improving overall survival, which makes the prediction of local treatment failure a crucial aspect of treatment planning. Understanding the factors that influence LC of brain metastases is imperative for optimizing treatment strategies and subsequently extending overall survival. Machine learning algorithms may help to identify factors that predict outcomes. METHODS This paper systematically reviews these factors associated with LC to select candidate predictor features for a practical application of predictive modeling. A systematic literature search was conducted to identify studies in which the LC of brain metastases is assessed for adult patients. EMBASE, PubMed, Web-of-Science, and the Cochrane Database were searched up to December 24, 2020. All studies investigating the LC of brain metastases as one of the endpoints were included, regardless of primary tumor type or treatment type. We first grouped studies based on primary tumor types resulting in lung, breast, and melanoma groups. Studies that did not focus on a specific primary cancer type were grouped based on treatment types resulting in surgery, SRT, and whole-brain radiotherapy groups. For each group, significant factors associated with LC were identified and discussed. As a second project, we assessed the practical importance of selected features in predicting LC after Stereotactic Radiotherapy (SRT) with a Random Forest machine learning model. Accuracy and Area Under the Curve (AUC) of the Random Forest model, trained with the list of factors that were found to be associated with LC for the SRT treatment group, were reported. RESULTS The systematic literature search identified 6270 unique records. After screening titles and abstracts, 410 full texts were considered, and ultimately 159 studies were included for review. Most of the studies focused on the LC of the brain metastases for a specific primary tumor type or after a specific treatment type. Higher SRT radiation dose was found to be associated with better LC in lung cancer, breast cancer, and melanoma groups. Also, a higher dose was associated with better LC in the SRT group, while higher tumor volume was associated with worse LC in this group. The Random Forest model predicted the LC of brain metastases with an accuracy of 80% and an AUC of 0.84. CONCLUSION This paper thoroughly examines factors associated with LC in brain metastases and highlights the translational value of our findings for selecting variables to predict LC in a sample of patients who underwent SRT. The prediction model holds great promise for clinicians, offering a valuable tool to predict personalized treatment outcomes and foresee the impact of changes in treatment characteristics such as radiation dose.
Collapse
Affiliation(s)
- Hemalatha Kanakarajan
- Department of Cognitive Neuropsychology, Tilburg University, Tilburg, The Netherlands.
| | - Wouter De Baene
- Department of Cognitive Neuropsychology, Tilburg University, Tilburg, The Netherlands
| | - Karin Gehring
- Department of Cognitive Neuropsychology, Tilburg University, Tilburg, The Netherlands
- Department of Neurosurgery, Elisabeth-TweeSteden Hospital, Tilburg, The Netherlands
| | - Daniëlle B P Eekers
- Department of Radiation Oncology (Maastro), GROW School for Oncology and Reproduction, Maastricht University Medical Centre+, Maastricht, The Netherlands
| | - Patrick Hanssens
- Gamma Knife Center, Elisabeth-TweeSteden Hospital, Tilburg, The Netherlands
- Department of Neurosurgery, Elisabeth-TweeSteden Hospital, Tilburg, The Netherlands
| | - Margriet Sitskoorn
- Department of Cognitive Neuropsychology, Tilburg University, Tilburg, The Netherlands.
| |
Collapse
|
3
|
Verhaak E, Schimmel WCM, Sitskoorn MM, Hanssens PEJ, Butterbrod E, Gehring K. The long-term course and relationship with survival of multidimensional fatigue in patients with brain metastases after Gamma Knife radiosurgery. J Cancer Res Clin Oncol 2023; 149:9891-9901. [PMID: 37249646 PMCID: PMC10423137 DOI: 10.1007/s00432-023-04857-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Accepted: 05/13/2023] [Indexed: 05/31/2023]
Abstract
PURPOSE The aims of this study were to evaluate long-term multidimensional fatigue in patients with brain metastases (BM) up to 21 months after Gamma Knife radiosurgery (GKRS) and (change in) fatigue as predictor of survival. METHODS Patients with 1 to 10 BM, expected survival > 3 months, and Karnofsky Performance Status ≥ 70, and Dutch non-cancer controls were included. Fatigue was measured with the Multidimensional Fatigue Inventory. Levels of fatigue between patients and controls were compared using independent-samples t-tests. Linear mixed models were used to evaluate fatigue within the patient group up to 21 months after GKRS. Pre-GKRS fatigue and minimal clinically important (MCI) changes in fatigue in the first three months (defined as a 2-point difference) after GKRS were evaluated as predictors of survival time. RESULTS Prior to GKRS, patients with BM (n = 92) experienced significantly higher fatigue on all subscales than controls (n = 104). Over 21 months, physical fatigue increased, and mental fatigue decreased significantly. More specifically, general, and physical fatigue increased significantly between pre-GKRS and 3 months, followed by stable scores between 3 (n = 67) and 6 (n = 53), 6 and 12 (n = 34) and 12 and 21 (n = 21) months. An MCI increase in general or physical fatigue over the first 3 months after GKRS was a significant predictor of shorter survival time. CONCLUSION Except for mental fatigue, all aspects of fatigue remained elevated or further increased up to 21 months after treatment. Furthermore, an increase in general or physical fatigue within three months after GKRS may be a prognostic indicator for poorer survival. CLINICALTRIALS GOV IDENTIFIER NCT02953756, November 3, 2016.
Collapse
Affiliation(s)
- Eline Verhaak
- Department of Neurosurgery-Gamma Knife Center, Elisabeth-TweeSteden Hospital, Hilvarenbeekseweg 60, 5022 GC, Tilburg, The Netherlands.
- Department of Cognitive Neuropsychology, Tilburg University, Tilburg, The Netherlands.
| | - Wietske C M Schimmel
- Department of Neurosurgery-Gamma Knife Center, Elisabeth-TweeSteden Hospital, Hilvarenbeekseweg 60, 5022 GC, Tilburg, The Netherlands
- Department of Cognitive Neuropsychology, Tilburg University, Tilburg, The Netherlands
| | - Margriet M Sitskoorn
- Department of Neurosurgery-Gamma Knife Center, Elisabeth-TweeSteden Hospital, Hilvarenbeekseweg 60, 5022 GC, Tilburg, The Netherlands
- Department of Cognitive Neuropsychology, Tilburg University, Tilburg, The Netherlands
| | - Patrick E J Hanssens
- Department of Neurosurgery-Gamma Knife Center, Elisabeth-TweeSteden Hospital, Hilvarenbeekseweg 60, 5022 GC, Tilburg, The Netherlands
| | - Elke Butterbrod
- Department of Neurosurgery-Gamma Knife Center, Elisabeth-TweeSteden Hospital, Hilvarenbeekseweg 60, 5022 GC, Tilburg, The Netherlands
- Department of Clinical, Neuro- and Developmental Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Karin Gehring
- Department of Neurosurgery-Gamma Knife Center, Elisabeth-TweeSteden Hospital, Hilvarenbeekseweg 60, 5022 GC, Tilburg, The Netherlands
- Department of Cognitive Neuropsychology, Tilburg University, Tilburg, The Netherlands
| |
Collapse
|
4
|
Health related quality of life trajectories after stereotactic radiosurgery for brain metastases: a systematic review. J Neurooncol 2022; 159:319-331. [PMID: 35788469 DOI: 10.1007/s11060-022-04067-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2022] [Accepted: 06/10/2022] [Indexed: 10/17/2022]
Abstract
PURPOSE Health related quality of life (HRQoL) is often used as an outcome measure of cancer treatment. Stereotactic radiosurgery (SRS) is a mainstay treatment of brain metastases (BMs) with constantly improving treatment envelope. The goal of this systematic review was to evaluated HRQoL trajectories after SRS, identify important predictors of HRQoL after SRS, and to evaluate clinical importance of post-SRS HRQoL trajectories of BM patients treated with SRS. METHODS A systematic literature review according to the PRISMA guidelines analyzing HRQoL trajectories after SRS for BM published in the Pubmed/MEDLINE database before January, 2022. RESULTS We identified 18 studies that evaluated HRQoL before and at least once after SRS for BMs. The majority of studies were single-institution retrospective series and included patients with different cancer types. Different instruments were used to assess HRQoL. In the majority of studies (n = 10) at group level, there was no significant change in global HRQoL after SRS. Stability, improvement, and deterioration of HRQoL global and subscale scores at individual patient level were common. Post-SRS HRQoL deterioration was predicted by worse functional status, greater number of BMs, delayed SRS, symptomatic BMs, and presence of seizures and cognitive impairment. Shorter post-SRS survival and adverse radiation effects (AREs) were associated with worse HRQoL. CONCLUSIONS SRS for BMs is often associated with sustained preservation of HRQoL. Individual variation of HRQoL domains after SRS is common. Shorter survival and AREs are associated with worse HRQoL. Worse functional status and greater disease burden predict unfavorable HRQoL trajectories after SRS for BMs.
Collapse
|
5
|
Clinical outcomes of patients with multiple courses of radiosurgery for brain metastases from non-small cell lung cancer. Sci Rep 2022; 12:10712. [PMID: 35739135 PMCID: PMC9226031 DOI: 10.1038/s41598-022-13853-3] [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: 12/13/2021] [Accepted: 05/30/2022] [Indexed: 11/18/2022] Open
Abstract
We investigated the long-term clinical outcomes of patients who underwent multiple courses (≥ 5) of gamma knife radiosurgery (GKRS) due to recurrent brain metastases (BM) from non-small cell lung cancer (NSCLC). Between December 2001 and July 2019, consecutive 2571 patients underwent GKRS for BM from NSCLC. Clinical and radiological outcomes were investigated in 76 patients who underwent GKRS ≥ 5 times. The median follow-up period after the diagnosis of NSCLC was 54.6 months (range 14.5–159.1 months). The median number of GKRS procedures per patient was six (range 5–15). Actuarial post-GKRS survival rates at 1, 2, 3, 4, and 5 years following initial GKRS were 88.1%, 79.5%, 65.3%, 51.4%, and 37.3%, respectively. No significant difference in overall survival was observed between patients (n = 22) with whole-brain radiotherapy (WBRT) and patients (n = 54) without WBRT (p = 0.076). The incidence of radiation-induced leukoencephalopathy was 64% and 18% in patients with and without WBRT, respectively (p < 0.0001). Multiple courses of SRS are a tolerable and effective treatment option for recurrent BM from NSCLC. Repeat SRS may be an alternative treatment option to avoid or delay WBRT.
Collapse
|
6
|
Salans M, Yip A, Burkeen J, Liu KX, Lee E, Pan-Weisz T, Marshall D, McDuff SG, Sharifzadeh Y, Dalia Y, Sanghvi P, Simpson D, Xu R, McDonald C, Hattangadi-Gluth JA. Prospective Longitudinal Assessment of Health-related Quality of Life in Patients With Brain Metastases Undergoing Radiation Therapy. Am J Clin Oncol 2021; 44:536-543. [PMID: 34392256 PMCID: PMC8458239 DOI: 10.1097/coc.0000000000000848] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE We conducted a prospective clinical trial of patients receiving radiation (RT) for brain metastases to identify clinical predictors of pre-RT and post-RT health-related quality of life (hrQoL). MATERIALS AND METHODS Patients with brain metastases completed overall (European Organisation for Research and Treatment of Cancer QLQ C15-PAL) and brain tumor-specific (QLQ-BN20) hrQoL assessments pre-RT (n=127) and 1 (n=56) and 3 (n=45) months post-RT. Linear and proportional-odds models analyzed patient, disease, and treatment predictors of baseline, 1-, and 3-month hrQoL scores. Generalized estimating equations and repeated measures proportional-odds models assessed predictors of longitudinal hrQoL scores. RESULTS Most patients underwent stereotactic radiosurgery (SRS) (69.3%) and had non-small-cell lung (36.0%) metastases. Compared with SRS, receipt of whole brain RT was associated with a higher odds of appetite loss (baseline P=0.04, 1 mo P=0.02) and greater motor dysfunction (baseline P=0.01, 1 mo P=0.003, 3 mo P=0.02). Receipt of systemic therapy was associated with better emotional functioning after RT (1 mo P=0.03, 3 mo P=0.01). Compared with patients with breast cancer, patients with melanoma had higher odds of better global hrQoL (P=0.01) and less pain (P=0.048), while patients with lung cancer reported lower physical function (P=0.048) 3 months post-RT. Nonmarried patients had greater odds of higher global hrQoL (1 mo P=0.01), while male patients had lower odds of reporting more hair loss (baseline P=0.03, 3 mo P=0.045). Patients 60 years and above had lower odds of more drowsiness (P=0.04) and pain (P=0.049) over time. CONCLUSIONS Patients receiving SRS versus whole brain RT and systemic therapy reported better posttreatment hrQoL. In addition, melanoma metastases, nonmarried, male, and older patients with reported better hrQoL in various as well as domains after intracranial RT.
Collapse
Affiliation(s)
- Mia Salans
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, USA
| | - Anthony Yip
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, USA
| | | | - Kevin X. Liu
- Harvard Radiation Oncology Program, Harvard Medical School, Boston, Massachussetts
| | - Euyhyun Lee
- Department of Mathematics, University of California San Diego, La Jolla, California, USA
| | - Tonya Pan-Weisz
- Mental Health Service, Veterans Affairs San Diego Healthcare System
- Department of Psychiatry, University of California San Diego, La Jolla, California, USA
| | - Deborah Marshall
- Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Susan G.R. McDuff
- Department of Radiation Oncology, Duke Cancer Center, Durham, North Carolina, USA
| | | | - Yoseph Dalia
- Department of Dermatology, The University of Tennesee Health Science Center, Memphis, Tennessee, USA
| | - Parag Sanghvi
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, USA
| | - Daniel Simpson
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, USA
| | - Ronghui Xu
- Department of Mathematics, University of California San Diego, La Jolla, California, USA
| | - Carrie McDonald
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, USA
- Department of Psychiatry, University of California San Diego, La Jolla, California, USA
| | - Jona A. Hattangadi-Gluth
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, USA
| |
Collapse
|