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Hong S, Adam S, Takami H, Umekawa M, Shinya Y, Hasegawa H, Kawashima M, Kitagawa Y, Nomura M, Takayanagi S, Saito N. Efficacy and safety of stereotactic radiosurgery for large cystic brain metastases: a comparison with and without cyst aspiration via Ommaya reservoir. Neurosurg Rev 2025; 48:435. [PMID: 40404998 PMCID: PMC12098191 DOI: 10.1007/s10143-025-03545-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2025] [Revised: 03/24/2025] [Accepted: 04/18/2025] [Indexed: 05/24/2025]
Abstract
To evaluate the therapeutic efficacy and safety of stereotactic radiosurgery (SRS) in the management of large cystic brain metastases. A retrospective analysis was conducted. Large cystic brain metastases were defined as cyst volume ≥ 5 mL. Tumors that received SRS as adjuvant therapy following surgery were excluded. The cohort was stratified into two groups: (1) SRS group (upfront hypofractionated SRS without Ommaya reservoir [OR]), (2) OR-SRS group (cyst aspiration via OR before SRS). Local tumor control rate (LCR), progression-free survival (PFS), overall survival (OS), and radiation-induced adverse events (RAEs) were evaluated. Thirty-one metastases in 28 patients met the inclusion criteria: SRS (14 metastases) and OR-SRS (17 metastases). Most baseline characteristics, including cyst diameter (P = 0.15), cyst volume (P = 0.06), and tumor volume (P = 0.95), were not significantly different between the groups. The cyst volume just before SRS in the OR-SRS group was significantly smaller compared to the SRS group (P < 0.01; Mann-Whitney U test). The LCR was 86% in the SRS group and 82% OR-SRS group (P = 1.00). Other outcomes, including PFS, RAEs, and OS, were not significantly different between the groups. Kaplan-Meier analysis revealed no statistically significant differences in PFS or OS among the groups (P = 0.28 and P = 0.20, respectively; log-rank test). This study demonstrates that both SRS and OR-SRS are effective and safe treatment modalities for large cystic brain metastases. The treatment outcomes were comparable, and these approaches may be equally viable options in the management of this challenging subset.
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Affiliation(s)
- Sukwoo Hong
- Department of Neurosurgery, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Sheriff Adam
- Guy's, King's and St Thomas', King's College London, London, UK
| | - Hirokazu Takami
- Department of Neurosurgery, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
| | - Motoyuki Umekawa
- Department of Neurosurgery, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
| | - Yuki Shinya
- Department of Neurosurgery, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
- Department of Neurological Surgery, Mayo Clinic, Rochester, MN, USA
| | | | | | - Yousuke Kitagawa
- Department of Neurosurgery, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Masashi Nomura
- Department of Neurosurgery, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Shunsaku Takayanagi
- Department of Neurooncology, Saitama Medical University International Medical Center, Saitama, Japan
| | - Nobuhito Saito
- Department of Neurosurgery, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
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Lee GH, Seol YM, Choi YJ, Kim H. Prognostic factors of brain metastasis and subsequent survival in breast cancer patients: An 11-year, single-center, retrospective study. Medicine (Baltimore) 2025; 104:e41827. [PMID: 40101072 PMCID: PMC11922408 DOI: 10.1097/md.0000000000041827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2024] [Accepted: 02/21/2025] [Indexed: 03/20/2025] Open
Abstract
Female breast cancer is among the most prevalent cancers globally, often metastasizing to the brain. Despite advancements in treatment, brain metastasis incidence is rising, with a poor prognosis. Moreover, limited data exist on how breast cancer subtypes and patient characteristics impact survival. This study aimed to investigate prognostic factors affecting breast cancer patients with brain metastasis. We retrospectively reviewed 131 breast cancer patients with brain metastasis diagnosed at a single institution between 2010 and 2020. Demographic, clinical, pathological, and radiographic variables were analyzed. The median interval between breast cancer diagnosis and brain metastasis was 27 months. Patients diagnosed with a higher stage of breast cancer (median survival: stage 1: 97.2 months, stage 2: 44.4 months, stage 3: 38.1 months, stage 4: 13.0 months, P < .001) and those with ER-negative tumors (median survival: negative 25.3 months, positive 37.5 months, P = .034) had a shorter time between initial diagnosis and brain metastasis. Median survival after brain metastasis was 8.0 months. Multivariate analysis showed that triple-negative breast cancer was correlated to a high risk of death after brain metastasis (hazard ratio = 2.320, P < .001). Higher histological grade, low-performance status, extensive brain metastases, and leptomeningeal seeding was associated with shorter survival. Systemic chemotherapy after brain metastasis was the only treatment that improved survival (hazard ratio = 0.332, P < .001). The study suggests potential benefits of aggressive treatment, especially in nontriple-negative breast cancer subtypes, limited brain metastases, and good overall health. Further research with larger patient populations is needed.
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Affiliation(s)
- Gha-Hyun Lee
- Department of Neurology, Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Pusan, Republic of Korea
| | - Young Mi Seol
- Division of Hemato-Oncology, Department of Internal Medicine, Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Pusan, Republic of Korea
| | - Young Jin Choi
- Division of Hemato-Oncology, Department of Internal Medicine, Pusan National University Hospital, Pusan National University School of Medicine and Medical Research Institute, Pusan, Republic of Korea
| | - Hyojeong Kim
- Division of Hemato-Oncology, Department of Internal Medicine, Maryknoll Hospital, Pusan, Republic of Korea
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Asfaw ZK, Young T, Brown C, Dedhia M, Huo L, Sindhu KK, Lazarev S, Samstein R, Green S, Germano IM. Transforming Brain Tumor Care: The Global Impact of Radiosurgery in Multidisciplinary Treatment Over Two Decades. Cancer Med 2025; 14:e70673. [PMID: 40087845 PMCID: PMC11909010 DOI: 10.1002/cam4.70673] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2024] [Revised: 01/22/2025] [Accepted: 01/29/2025] [Indexed: 03/17/2025] Open
Abstract
BACKGROUND Stereotactic radiosurgery, a minimally invasive treatment delivering high doses of radiation to a well-defined target, has transformed interdisciplinary treatment paradigms since its inception. This study chronicles its adoption and evolution for brain cancer and tumors globally. METHODS A systematic literature review of SRS-focused articles from 2000 to 2023 was conducted. Literature impact was evaluated using citation counts and relative citation ratio scores. Extracted data were dichotomized between US and international publications. RESULTS Out of 5424 articles eligible, 538 met inclusion criteria reporting on 120,756 patients treated with SRS for brain cancer and tumors since 2000. Over time, publication rates grew significantly (p = 0.0016), with 56% of principal investigators based in the United States. Clinical articles accounted for 87% of the publications, with the remainder focused on technological advances. Relative to international studies, US publications had larger median samples (74 vs. 58, p = 0.012), higher median citations (30 vs. 19, p < 0.0001) and higher relative citation ratio scores (1.67 vs. 1.2, p < 0.00001). Gamma Knife and LINAC had roughly equal representation in US and international publications. Neurosurgery specialists authored more Gamma Knife-based articles, and radiation oncology specialists authored more LINAC-based papers (p < 0.0001). The most treated tumors were metastases (58%), skull base tumors (35%), and gliomas (7%). Radiographic control was achieved in 82% of metastatic tumor cases, with a 12% median complication rate. CONCLUSIONS SRS has been widely adopted both nationally and globally and continues to be a growing field. This study corroborates the clinical efficacy of SRS and reinforces its critical role in the multidisciplinary treatment of patients with brain tumors and cancer.
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Affiliation(s)
- Zerubbabel K. Asfaw
- Department of NeurosurgeryIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Tirone Young
- Department of NeurosurgeryIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Cole Brown
- Department of NeurosurgeryIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Mehek Dedhia
- Department of NeurosurgeryIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Lily Huo
- Department of NeurosurgeryIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Kunal K. Sindhu
- Department of Radiation OncologyIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Stanislav Lazarev
- Department of Radiation OncologyIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Robert Samstein
- Department of Radiation OncologyIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Sheryl Green
- Department of Radiation OncologyIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Isabelle M. Germano
- Department of NeurosurgeryIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
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Wald T, Hamm B, Holzschuh JC, El Shafie R, Kudak A, Kovacs B, Pflüger I, von Nettelbladt B, Ulrich C, Baumgartner MA, Vollmuth P, Debus J, Maier-Hein KH, Welzel T. Enhancing deep learning methods for brain metastasis detection through cross-technique annotations on SPACE MRI. Eur Radiol Exp 2025; 9:15. [PMID: 39913077 PMCID: PMC11802942 DOI: 10.1186/s41747-025-00554-5] [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: 07/15/2024] [Accepted: 01/15/2025] [Indexed: 02/07/2025] Open
Abstract
BACKGROUND Gadolinium-enhanced "sampling perfection with application-optimized contrasts using different flip angle evolution" (SPACE) sequence allows better visualization of brain metastases (BMs) compared to "magnetization-prepared rapid acquisition gradient echo" (MPRAGE). We hypothesize that this better conspicuity leads to high-quality annotation (HAQ), enhancing deep learning (DL) algorithm detection of BMs on MPRAGE images. METHODS Retrospective contrast-enhanced (gadobutrol 0.1 mmol/kg) SPACE and MPRAGE data of 157 patients with BM were used, either annotated on MPRAGE resulting in normal annotation quality (NAQ) or on coregistered SPACE resulting in HAQ. Multiple DL methods were developed with NAQ or HAQ using either SPACE or MRPAGE images and evaluated on their detection performance using positive predictive value (PPV), sensitivity, and F1 score and on their delineation performance using volumetric Dice similarity coefficient, PPV, and sensitivity on one internal and four additional test datasets (660 patients). RESULTS The SPACE-HAQ model reached 0.978 PPV, 0.882 sensitivity, and 0.916 F1-score. The MPRAGE-HAQ reached 0.867, 0.839, and 0.840, the MPRAGE NAQ 0.964, 0.667, and 0.798, respectively (p ≥ 0.157). Relative to MPRAGE-NAQ, the MPRAGE-HAQ F1-score detection increased on all additional test datasets by 2.5-9.6 points (p < 0.016) and sensitivity improved on three datasets by 4.6-8.5 points (p < 0.001). Moreover, volumetric instance sensitivity improved by 3.6-7.6 points (p < 0.001). CONCLUSION HAQ improves DL methods without specialized imaging during application time. HAQ alone achieves about 40% of the performance improvements seen with SPACE images as input, allowing for fast and accurate, fully automated detection of small (< 1 cm) BMs. RELEVANCE STATEMENT Training with higher-quality annotations, created using the SPACE sequence, improves the detection and delineation sensitivity of DL methods for the detection of brain metastases (BMs)on MPRAGE images. This MRI cross-technique transfer learning is a promising way to increase diagnostic performance. KEY POINTS Delineating small BMs on SPACE MRI sequence results in higher quality annotations than on MPRAGE sequence due to enhanced conspicuity. Leveraging cross-technique ground truth annotations during training improved the accuracy of DL models in detecting and segmenting BMs. Cross-technique annotation may enhance DL models by integrating benefits from specialized, time-intensive MRI sequences while not relying on them. Further validation in prospective studies is needed.
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Affiliation(s)
- Tassilo Wald
- German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Heidelberg, Germany.
- Helmholtz Imaging, German Cancer Research Center (DKFZ), Heidelberg, Germany.
- Faculty of Mathematics and Computer Science, Heidelberg University, Heidelberg, Germany.
| | - Benjamin Hamm
- German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Heidelberg, Germany
- Medical Faculty Heidelberg, University of Heidelberg, Heidelberg, Germany
| | - Julius C Holzschuh
- Division of Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Rami El Shafie
- Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany
- Department of Radiation Oncology, University Hospital Göttingen, Göttingen, Germany
| | - Andreas Kudak
- Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany
- Heidelberg Institute of Radiation Oncology (HIRO), Heidelberg, Germany
- Clinical Cooperation Unit Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Balint Kovacs
- German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Heidelberg, Germany
- Medical Faculty Heidelberg, University of Heidelberg, Heidelberg, Germany
| | - Irada Pflüger
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
- Division for Computational Neuroimaging, Heidelberg University Hospital, Heidelberg, Germany
| | - Bastian von Nettelbladt
- Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany
- Heidelberg Institute of Radiation Oncology (HIRO), Heidelberg, Germany
- National Center for Tumor Diseases (NCT), NCT Heidelberg, a partnership between DKFZ and Heidelberg University Medical Center, Heidelberg, Germany
- German Cancer Consortium (DKTK), partner site Heidelberg, Heidelberg, Germany
- Heidelberg Ion-Beam Therapy Center (HIT), Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany
| | - Constantin Ulrich
- German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Heidelberg, Germany
- Medical Faculty Heidelberg, University of Heidelberg, Heidelberg, Germany
- National Center for Tumor Diseases (NCT), NCT Heidelberg, a partnership between DKFZ and Heidelberg University Medical Center, Heidelberg, Germany
| | - Michael Anton Baumgartner
- German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Heidelberg, Germany
- Helmholtz Imaging, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Faculty of Mathematics and Computer Science, Heidelberg University, Heidelberg, Germany
| | - Philipp Vollmuth
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
- Division for Computational Neuroimaging, Heidelberg University Hospital, Heidelberg, Germany
- Division for Computational Radiology Clinical AI (CCIBonn.ai), Clinic for Neuroradiology, University Hospital Bonn, Bonn, Germany
- Medical Faculty Bonn, University of Bonn, Bonn, Germany
| | - Jürgen Debus
- Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany
- Heidelberg Institute of Radiation Oncology (HIRO), Heidelberg, Germany
- Clinical Cooperation Unit Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
- National Center for Tumor Diseases (NCT), NCT Heidelberg, a partnership between DKFZ and Heidelberg University Medical Center, Heidelberg, Germany
- German Cancer Consortium (DKTK), partner site Heidelberg, Heidelberg, Germany
- Heidelberg Ion-Beam Therapy Center (HIT), Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany
| | - Klaus H Maier-Hein
- German Cancer Research Center (DKFZ) Heidelberg, Division of Medical Image Computing, Heidelberg, Germany
- Helmholtz Imaging, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Faculty of Mathematics and Computer Science, Heidelberg University, Heidelberg, Germany
- National Center for Tumor Diseases (NCT), NCT Heidelberg, a partnership between DKFZ and Heidelberg University Medical Center, Heidelberg, Germany
- Pattern Analysis and Learning Group, Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC), Member of the German Center for Lung Research (DZL), Heidelberg, Germany
| | - Thomas Welzel
- Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany
- Heidelberg Institute of Radiation Oncology (HIRO), Heidelberg, Germany
- National Center for Tumor Diseases (NCT), NCT Heidelberg, a partnership between DKFZ and Heidelberg University Medical Center, Heidelberg, Germany
- German Cancer Consortium (DKTK), partner site Heidelberg, Heidelberg, Germany
- Heidelberg Ion-Beam Therapy Center (HIT), Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany
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Kikuchi K, Togao O, Kikuchi Y, Yamashita K, Momosaka D, Fukasawa K, Nishimura S, Toyoda H, Obara M, Hiwatashi A, Ishigami K. Artificial intelligence-assisted volume isotropic simultaneous interleaved bright- and black-blood examination for brain metastases. Neuroradiology 2025; 67:351-359. [PMID: 39172167 PMCID: PMC11893687 DOI: 10.1007/s00234-024-03454-4] [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: 06/13/2024] [Accepted: 08/14/2024] [Indexed: 08/23/2024]
Abstract
PURPOSE To verify the effectiveness of artificial intelligence-assisted volume isotropic simultaneous interleaved bright-/black-blood examination (AI-VISIBLE) for detecting brain metastases. METHODS This retrospective study was approved by our institutional review board and the requirement for written informed consent was waived. Forty patients were included: 20 patients with and without brain metastases each. Seven independent observers (three radiology residents and four neuroradiologists) participated in two reading sessions: in the first, brain metastases were detected using VISIBLE only; in the second, the results of the first session were comprehensively evaluated by adding AI-VISIBLE information. Sensitivity, diagnostic performance, and false positives/case were evaluated. Diagnostic performance was assessed using a figure-of-merit (FOM). Sensitivity and false positives/case were evaluated using McNemar and paired t-tests, respectively. RESULTS The McNemar test revealed a significant difference between VISIBLE with/without AI information (P < 0.0001). Significantly higher sensitivity (94.9 ± 1.7% vs. 88.3 ± 5.1%, P = 0.0028) and FOM (0.983 ± 0.009 vs. 0.972 ± 0.013, P = 0.0063) were achieved using VISIBLE with AI information vs. without. No significant difference was observed in false positives/case with and without AI information (0.23 ± 0.19 vs. 0.18 ± 0.15, P = 0.250). AI-assisted results of radiology residents became comparable to results of neuroradiologists (sensitivity, FOM: 85.9 ± 3.4% vs. 90.0 ± 5.9%, 0.969 ± 0.016 vs. 0.974 ± 0.012 without AI information; 94.8 ± 1.3% vs. 95.0 ± 2.1%, 0.977 ± 0.010 vs. 0.988 ± 0.005 with AI information, respectively). CONCLUSION AI-VISIBLE improved the sensitivity and performance for diagnosing brain metastases.
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Affiliation(s)
- Kazufumi Kikuchi
- Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.
| | - Osamu Togao
- Department of Molecular Imaging & Diagnosis, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan
| | - Yoshitomo Kikuchi
- Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan
| | - Koji Yamashita
- Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan
| | - Daichi Momosaka
- Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan
| | - Kazunori Fukasawa
- Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan
| | - Shunsuke Nishimura
- Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan
| | - Hiroyuki Toyoda
- Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan
| | - Makoto Obara
- Philips Japan Ltd., 2-13-37, Konan, Minato-ku, Tokyo, 108-8507, Japan
| | - Akio Hiwatashi
- Department of Radiology, Graduate School of Medical Sciences, Nagoya City University, 1 Kawasumi, Mizuho-cho, Mizuho-ku, Nagoya, 467-8601, Japan
| | - Kousei Ishigami
- Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan
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Cui G, Duan J, Yin FF. Dose verification of 2 targets simultaneously for single-isocenter stereotactic radiation therapy and radiosurgery plans. Med Dosim 2025; 50:179-184. [PMID: 39864992 DOI: 10.1016/j.meddos.2024.12.006] [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: 07/02/2024] [Revised: 10/25/2024] [Accepted: 12/31/2024] [Indexed: 01/28/2025]
Abstract
Most of conventional 2-dimensional (2D) methods verify dose of multiple targets separately one-by-one for Single-isocenter Multiple-target (SIMT) brain plans, which are inefficient and sub-optimal. This study presented a practical method to verify the dose of 2 targets simultaneously for improved efficiency and accuracy. Fifteen Stereotactic Radiation Therapy (SRT) and sixteen Stereotactic Radiosurgery (SRS) plans were used for this study. Each plan has 2 targets coincide with a plane through the plan isocenter. All plans were created in the Eclipse Treatment Planning System (TPS) using a 6 MV flattening filter free photon beam. A 2D detector array, myQA SRS was used for measurements. It has a spatial resolution of 0.4 mm and an active area of 120 × 140 mm2. It can be rotated along the longitudinal axis with a cylindrical phantom with one-degree precision. All plans were delivered with the detector array centered at the plan isocenter and rotated to intersect 2 targets. Six plans with target separations less than 70 mm were crosschecked with the SRS MapCHECK, which has an active area of 77 × 77 mm2. The measured 2D dose distributions were compared with those calculated from the TPS. Gamma-index analysis was performed using 3%/1 mm criteria and a 10% dose threshold. For all 31 SIMT brain plans measured with myQA SRS, the average and standard deviation of the gamma-passing rate was (96.8 ± 2.2)%. For 15 SRT plans and 16 SRS plans, that was (96.6 ± 2.4)% and (97.0 ± 2.1)%, respectively. For 6 plans crosschecked, the average gamma-passing rates were 96.8% vs. 94.8% with myQA SRS and SRS MapCHECK, respectively. A practical method to verify the dose of 2 targets simultaneously was demonstrated. It offers an efficient way for pretreatment verification of SIMT SRT and SRS plans with improved accuracy.
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Affiliation(s)
- Guoqiang Cui
- Department of Radiation Oncology, Duke University Medical Center, Durham, NC 27710, USA.
| | - Jun Duan
- Department of Radiation Oncology, Duke University Medical Center, Durham, NC 27710, USA
| | - Fang-Fang Yin
- Department of Radiation Oncology, Duke University Medical Center, Durham, NC 27710, USA
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Rowbottom H, Končnik R, Ravnik J, Šmigoc T. Posterior Fossa Stereotactic Biopsy with Leksell Vantage Frame-Case Series and Review of Literature. J Clin Med 2025; 14:609. [PMID: 39860615 PMCID: PMC11766265 DOI: 10.3390/jcm14020609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2024] [Revised: 11/24/2024] [Accepted: 01/14/2025] [Indexed: 01/27/2025] Open
Abstract
Background: Stereotactic biopsy of posterior fossa lesions, which are often inoperable, enables a safe trajectory and provides tissue samples for accurate diagnosis, which is crucial for correct treatment since the latest World Health Organization Classification of Tumors of the Central Nervous System from 2021 places immense emphasis on molecular diagnostics. Stereotactic biopsy using the Leksell Vantage headframe is, due to its rigid design, extremely accurate, but stiffer, making the procedure more challenging and the learning curve steeper. Methods: This retrospective analysis demonstrates the introduction of the new Leksell Vantage headframe in day-to-day practice at the University Medical Center in Maribor, Slovenia, in demanding procedures of posterior fossa biopsies, and also provides a review of the literature available on the topic with emphasis on the technical aspect of posterior fossa biopsy using the Leksell Vantage headframe in adults. Results: In the observed series of three patients with posterior fossa lesions, all biopsies were representative, despite tissue samples being small, providing conclusive histopathologic reports (glioblastoma, rosette-forming glioneuronal tumor and metastasis of melanoma) with additional molecular diagnostics. After the initial biopsy case, the preoperative planning times and procedure times were shortened as we learnt about the importance of a tailored approach from the first case. In all cases, the biopsy was performed under local anesthesia with patients being awake throughout surgery. Conclusions: The rigid Leksell Vantage headframe makes access to the posterior fossa tougher when compared to its predecessors. However, the procedure is very accurate but requires precise preoperative planning and a customized approach when placing the headframe.
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Affiliation(s)
| | | | | | - Tomaž Šmigoc
- Department of Neurosurgery, University Medical Centre Maribor, 2000 Maribor, Slovenia; (H.R.); (J.R.)
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Peters DR, Conti A, Levivier M, Schiappacasse L, Faouzi M, Trandafirescu MF, Tuleasca C. Stereotactic aspiration alone or Ommaya placement and aspiration followed by stereotactic radiosurgery for cystic brain metastasis: A systematic review and meta-analysis. BRAIN & SPINE 2025; 5:104184. [PMID: 39935528 PMCID: PMC11810700 DOI: 10.1016/j.bas.2025.104184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/27/2024] [Revised: 12/28/2024] [Accepted: 01/10/2025] [Indexed: 02/13/2025]
Abstract
Introduction Cystic brain metastases (BMs) are often more challenging to treat than solid BMs. Stereotactic cyst aspiration for volume reduction followed by stereotactic radiosurgery (SRS) is an alternative treatment modality that may benefit patients with large cystic BMs not favorable for SRS alone nor microsurgical resection. Research question Here, we perform a systematic review and meta-analysis of stereotactic aspiration alone or reservoir (Ommaya) placement plus aspiration followed by SRS for cystic BMs. Material and methods Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we reviewed articles published between 1968 and December 31-th, 2022. We retained 10 studies reporting 280 patients. Results Overall rate of tumor control for combined treatment of Ommaya placement plus aspiration plus SRS was 81.2% (62.5-99.9%, p < 0.001) and for stereotactic aspiration plus SRS was 64.7% (46.1-83.3%, p < 0.001). Overall rate of further intervention for combined treatment of Ommaya placement plus aspiration plus SRS was 15.8% (p = 0.08) and for stereotactic aspiration plus SRS was 14.8% (5.3-24.4%, p = 0.002). Overall complication rate for combined treatment of Ommaya placement plus aspiration plus SRS was 12.8% (2.3-23.3%, p = 0.01) and for stereotactic aspiration plus SRS was 1.5% (p = 0.12). Discussion and conclusion Combined treatment of Ommaya placement plus cyst aspiration plus SRS in cystic BMs yields better local control as compared to stereotactic aspiration plus SRS, with similar rate of further intervention between procedures. Aspiration of the cyst plus SRS should be considered for patients with cystic metastases not able to undergo open surgery or upfront SRS.
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Affiliation(s)
- David R. Peters
- Carolina Neurosurgery & Spine Associates, Charlotte, NC, USA
- Mayo Clinic, Rochester, MN, USA
- Lausanne University Hospital (CHUV), Neurosurgery Service and Gamma Knife Center, Lausanne, Switzerland
| | - Alfredo Conti
- Department of Neurosurgery, IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
- Dipartimento di Biomorfologia e. Scienze Neuromotorie (DIBINEM), Alma Mater Studiorum Università di Bologna, Bologna, Italy
| | - Marc Levivier
- Lausanne University Hospital (CHUV), Neurosurgery Service and Gamma Knife Center, Lausanne, Switzerland
- University of Lausanne (UNIL), Faculty of Biology and Medicine (FBM), Switzerland
| | - Luis Schiappacasse
- Lausanne University Hospital (CHUV), Radiation Oncology Department, Lausanne, Switzerland
| | - Mohamed Faouzi
- Division of Biostatistics, Center for Primary Care and Public Health (Unisanté), University of Lausanne, Switzerland
| | | | - Constantin Tuleasca
- Lausanne University Hospital (CHUV), Neurosurgery Service and Gamma Knife Center, Lausanne, Switzerland
- University of Lausanne (UNIL), Faculty of Biology and Medicine (FBM), Switzerland
- Ecole Polytechnique Fédérale de Lausanne (EPFL, LTS-5), Lausanne, Switzerland
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9
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Cheng VWT, Heywood R, Zakaria R, Burger R, Zucker K, Kannan S, Putra MAR, Fitzpatrick A, Doherty G, Sanghera P, Jenkinson MD, Palmieri C. BMScope: A scoping review to chart the evolving clinical study landscape in brain and leptomeningeal metastasis. Neuro Oncol 2024; 26:2193-2207. [PMID: 39093926 PMCID: PMC11630544 DOI: 10.1093/neuonc/noae140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Indexed: 08/04/2024] Open
Abstract
BACKGROUND Recent studies have challenged the notion that patients with brain metastasis (BM) or leptomeningeal metastasis (LM) should be excluded from systemic therapy clinical trials. This scoping study summarizes the BM/LM clinical studies published between 2010 and 2023. METHODS MEDLINE, CINAHL, CAB Abstracts, PsycINFO, Cochrane Library, HINARI, International Pharmaceutical Abstracts, PubMed, Scopus, Web of Science, and EMBASE electronic databases were searched on June 21, 2021. An updated search was performed on February 21, 2023. Eligible studies investigated a therapeutic intervention in solid tumor patients with BM and/or LM and reported a patient outcome. Extracted study-level data, including study type, publication date, geographical location, number of BM/LM patients in the study, primary tumor type, and type of therapeutic intervention, were collected. RESULTS 4921 unique studies were eligible for analysis. The key finding is that BM/LM clinical research is expanding globally, both in observational studies and clinical trials. Despite the shift over time toward a higher proportion of systemic therapy trials, the majority still do not include patients with symptomatic disease and lack reporting of BM/LM-specific endpoints. Globally, there has been a trend to more international collaboration in BM/LM clinical studies. CONCLUSIONS Our analysis of the BM/LM literature charts the evolving landscape of studies involving this previously excluded population. Given the increasing clinical research activity, particularly involving late-stage systemic therapy trials, it is imperative that due consideration is given to the intracranial activity of new investigational agents. Wider adoption of standardized reporting of intracranial-specific endpoints will facilitate the evaluation of relative intracranial efficacy.
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Affiliation(s)
- Vinton W T Cheng
- Leeds Institute of Medical Research, St James’s University Hospital, University of Leeds, Leeds, UK
- Department of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
| | - Richard Heywood
- Department of Oncology, St James’s University Hospital, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Rasheed Zakaria
- Department of Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool, UK
| | - Rebecca Burger
- Imperial College Healthcare NHS Trust, London, UK
- Department of Oncology, St James’s University Hospital, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Kieran Zucker
- Leeds Institute of Data Analytics, University of Leeds, Leeds, UK
- Department of Oncology, St James’s University Hospital, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Siddarth Kannan
- School of Medicine, University of Central Lancashire, Preston, UK
| | | | - Amanda Fitzpatrick
- Comprehensive Cancer Centre, King’s College London, London, UK
- Department of Medical Oncology, Guy’s and St Thomas’ NHS Foundation Trust, London, UK
| | - Gary Doherty
- Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Paul Sanghera
- Department of Oncology, Queen Elizabeth Hospital Birmingham, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Michael D Jenkinson
- Department of Clinical and Molecular Pharmacology, University of Liverpool, Liverpool, UK
| | - Carlo Palmieri
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK
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10
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Cui F, Jin T, Li M, Zhu L, Di X, Zhu H. Assessment of scintillation and Cherenkov imaging as beam shape verification method in CyberKnife® radiotherapy. J Appl Clin Med Phys 2024; 25:e14508. [PMID: 39243112 PMCID: PMC11633798 DOI: 10.1002/acm2.14508] [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: 03/11/2024] [Revised: 05/29/2024] [Accepted: 07/26/2024] [Indexed: 09/09/2024] Open
Abstract
PURPOSE The goal of this study is to assess the utility of Cherenkov imaging (CI) and scintillation imaging (SI) as high-resolution techniques to measure CyberKnife® beam shape quantitatively at the irradiation surface in quality assurance (QA). METHODS The EMCCD camera captured scintillation and Cherenkov photons arising from 6 MV x-ray dose deposition produced by the CyberKnife® VSI System. Two imaging methods were done at source to surface distance of 800 cm with the same field size, ranging from 10 to 60 mm using fixed cones and iris collimators. The output sensitivity and constancy were measured using the SI and CI, and benchmarked against an ionization chamber. Line profiles of each beam measured by optical imaging were compared with film measurement. Position shifts were introduced to test the sensitivity of SI and CI to small beam position deviations. To assess reproducibility, the beam measurements were tested three times on 5 consecutive days. RESULTS Both systems exhibited comparable sensitivity to the ionization chamber in response to fluctuations in CyberKnife® output. The beam profiles in SI matched well with the measured film image, with accuracy in the range of ± 0.20 and ± 0.26 mm standard deviation for the circle and iris field, respectively. The corresponding accuracy measured by CI is in the range of ± 0.25 and ± 0.33 mm, respectively. These are all within the tolerance recommended by the guidelines of CyberKnife® QA. The accuracy measured by SI and CI for 1 mm beam position shift within 0.21 and 0.45 mm tolerance, respectively. Repeatability measurements of the beam have shown a standard deviation within 0.94 mm. CONCLUSIONS SI and CI techniques are tested to provide a valid way to measure CyberKnife® beam shape in this study. Meanwhile, the systematic comparison of SI and CI also provides evidence for the measurement methods selection appropriately.
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Affiliation(s)
- Fengwei Cui
- CyberKnife CenterDepartment of NeurosurgeryHuashan HospitalFudan UniversityShanghaiChina
- Neurosurgical Institute of Fudan UniversityShanghaiChina
| | - Tao Jin
- CyberKnife CenterDepartment of NeurosurgeryHuashan HospitalFudan UniversityShanghaiChina
- Neurosurgical Institute of Fudan UniversityShanghaiChina
| | - Mingzhu Li
- Department of OncologyThe First Hospital of Hebei Medical UniversityHebei Medical UniversityShijiazhuangChina
| | - Lei Zhu
- Department of Radiation Oncology Physics and TechnologyShandong Cancer Hospital and InstituteShandong First Medical University and Shandong Academy of Medical SciencesJinan CityShandong ProvinceChina
| | - Xing Di
- CyberKnife CenterDepartment of NeurosurgeryHuashan HospitalFudan UniversityShanghaiChina
- Neurosurgical Institute of Fudan UniversityShanghaiChina
| | - Huaguang Zhu
- CyberKnife CenterDepartment of NeurosurgeryHuashan HospitalFudan UniversityShanghaiChina
- Neurosurgical Institute of Fudan UniversityShanghaiChina
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11
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Duan W, Wu H, Zhu Y, Zhao G, Zhang C, Jiang J, Fan Z, Wang Z, Wang R. Dosimetric comparison of gamma knife and linear accelerator (VMAT and IMRT) plans of SBRT of Lung tumours. Sci Rep 2024; 14:22949. [PMID: 39363094 PMCID: PMC11450005 DOI: 10.1038/s41598-024-74397-2] [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: 06/24/2024] [Accepted: 09/25/2024] [Indexed: 10/05/2024] Open
Abstract
This study evaluates dosimetric differences in Stereotactic Body Radiation Therapy (SBRT) for lung tumors using plans of Gamma Knife, and Volumetric Modulated Arc Therapy (VMAT), Intensity-Modulated Radiation Therapy (IMRT) plans based on Linear Accelerator, aiming to inform the reader of appropriate treatment strategy selection. Ten patients with 23 lung tumor lesions treated with SBRT at Zhongshan Hospital of Dalian University were analyzed. Plans of Gamma Knife, and VMAT, IMRT plans based on Linear Accelerator were created for each lesion, totaling 18 plans per type. Lesions were treated with 30-50 Gy in 5-10 fractions. Dosimetric parameters, including gradient index (GI), heterogeneity index (HI), conformity index (CI), and doses to the plan target volumes (PTVs), the gross tumor volumes (GTVs) and organs at risk (OARs) were compared. Plans of Gamma Knife showed superior HI and GI, higher PTV and GTV doses, and reduced doses to the ipsilateral and contralateral lungs, esophagus, spinal cord, and heart compared to VMAT and IMRT plans (p < 0.05). However, Plans of Gamma Knife required longer delivery times. When comparing VMAT and IMRT plans, VMAT plans had shorter delivery times than IMRT plans, but required more monitor units (MUs). Additionally, IMRT plans delivered a lower mean dose to the ipsilateral lung compared to VMAT plans. Gamma Knife SBRT plans achieves steeper dose falloff and minimizes radiation to normal lung tissue compared to VMAT and IMRT plans, but with longer delivery times. VMAT and IMRT plans displayed similar dose distributions for lung SBRT.
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Affiliation(s)
- Wenyue Duan
- Department of Radiotherapy, Affiliated Zhongshan Hospital of Dalian University, Dalian, P. R. China
- The Key Laboratory of Biomarker High Throughput Screening and Target Translation of Breast and Gastrointestinal Tumor, Dalian University, Dalian, P. R. China
- The Key Laboratory of Radioactive Particles and Thermal Precision Therapy, Dalian University, Dalian, P. R. China
| | - Huajian Wu
- Department of Medical Oncology, Affiliated Zhongshan Hospital of Dalian University, Dalian, P. R. China
- The Key Laboratory of Biomarker High Throughput Screening and Target Translation of Breast and Gastrointestinal Tumor, Dalian University, Dalian, P. R. China
- The Key Laboratory of Radioactive Particles and Thermal Precision Therapy, Dalian University, Dalian, P. R. China
| | - Yanmei Zhu
- Department of Medical Oncology, Affiliated Zhongshan Hospital of Dalian University, Dalian, P. R. China
- The Key Laboratory of Biomarker High Throughput Screening and Target Translation of Breast and Gastrointestinal Tumor, Dalian University, Dalian, P. R. China
- The Key Laboratory of Radioactive Particles and Thermal Precision Therapy, Dalian University, Dalian, P. R. China
| | - Genghao Zhao
- Department of Medical Oncology, Affiliated Zhongshan Hospital of Dalian University, Dalian, P. R. China
- The Key Laboratory of Biomarker High Throughput Screening and Target Translation of Breast and Gastrointestinal Tumor, Dalian University, Dalian, P. R. China
- The Key Laboratory of Radioactive Particles and Thermal Precision Therapy, Dalian University, Dalian, P. R. China
| | - Chuanhao Zhang
- Department of Medical Oncology, Affiliated Zhongshan Hospital of Dalian University, Dalian, P. R. China
- Graduate School of Dalian Medical University, Dalian, P. R. China
| | - Jianing Jiang
- Department of Radiotherapy, Affiliated Zhongshan Hospital of Dalian University, Dalian, P. R. China
- The Key Laboratory of Biomarker High Throughput Screening and Target Translation of Breast and Gastrointestinal Tumor, Dalian University, Dalian, P. R. China
- The Key Laboratory of Radioactive Particles and Thermal Precision Therapy, Dalian University, Dalian, P. R. China
| | - Zhijun Fan
- Department of Medical Oncology, Affiliated Zhongshan Hospital of Dalian University, Dalian, P. R. China
- The Key Laboratory of Biomarker High Throughput Screening and Target Translation of Breast and Gastrointestinal Tumor, Dalian University, Dalian, P. R. China
- The Key Laboratory of Radioactive Particles and Thermal Precision Therapy, Dalian University, Dalian, P. R. China
| | - Zhe Wang
- Department of Medical Oncology, Affiliated Zhongshan Hospital of Dalian University, Dalian, P. R. China.
- The Key Laboratory of Biomarker High Throughput Screening and Target Translation of Breast and Gastrointestinal Tumor, Dalian University, Dalian, P. R. China.
- The Key Laboratory of Radioactive Particles and Thermal Precision Therapy, Dalian University, Dalian, P. R. China.
| | - Ruoyu Wang
- Department of Medical Oncology, Affiliated Zhongshan Hospital of Dalian University, Dalian, P. R. China.
- The Key Laboratory of Biomarker High Throughput Screening and Target Translation of Breast and Gastrointestinal Tumor, Dalian University, Dalian, P. R. China.
- The Key Laboratory of Radioactive Particles and Thermal Precision Therapy, Dalian University, Dalian, P. R. China.
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12
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Gardner LL, Thompson SJ, O'Connor JD, McMahon SJ. Modelling radiobiology. Phys Med Biol 2024; 69:18TR01. [PMID: 39159658 DOI: 10.1088/1361-6560/ad70f0] [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: 04/25/2024] [Accepted: 08/19/2024] [Indexed: 08/21/2024]
Abstract
Radiotherapy has played an essential role in cancer treatment for over a century, and remains one of the best-studied methods of cancer treatment. Because of its close links with the physical sciences, it has been the subject of extensive quantitative mathematical modelling, but a complete understanding of the mechanisms of radiotherapy has remained elusive. In part this is because of the complexity and range of scales involved in radiotherapy-from physical radiation interactions occurring over nanometres to evolution of patient responses over months and years. This review presents the current status and ongoing research in modelling radiotherapy responses across these scales, including basic physical mechanisms of DNA damage, the immediate biological responses this triggers, and genetic- and patient-level determinants of response. Finally, some of the major challenges in this field and potential avenues for future improvements are also discussed.
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Affiliation(s)
- Lydia L Gardner
- Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, 97 Lisburn Road, Belfast BT9 7AE, United Kingdom
| | - Shannon J Thompson
- Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, 97 Lisburn Road, Belfast BT9 7AE, United Kingdom
| | - John D O'Connor
- Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, 97 Lisburn Road, Belfast BT9 7AE, United Kingdom
- Ulster University School of Engineering, York Street, Belfast BT15 1AP, United Kingdom
| | - Stephen J McMahon
- Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, 97 Lisburn Road, Belfast BT9 7AE, United Kingdom
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13
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Sagawa T, Ikawa T, Ohira S, Kanayama N, Ueda Y, Inui S, Miyazaki M, Konishi K. What is the optimal isodose line for stereotactic radiotherapy for single brain metastases using HyperArc? J Appl Clin Med Phys 2024; 25:e14408. [PMID: 38863310 PMCID: PMC11492347 DOI: 10.1002/acm2.14408] [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: 07/06/2023] [Revised: 05/04/2024] [Accepted: 05/07/2024] [Indexed: 06/13/2024] Open
Abstract
PURPOSE The study aimed to investigate the optimal isodose line (IDL) in linear accelerator-based stereotactic radiotherapy for single brain metastasis, using HyperArc. We compared the dosimetric parameters for target and normal brain tissue among six plans with different IDLs. METHODS This study included 30 patients with single brain metastasis. We retrospectively generated six plans for each tumor with different IDLs (80%, 70%, 60%, 50%, 40%, and 33%) using HyperArc. All treatment plans were normalized to the prescription dose of 35 Gy in five fractions which was covered by 95% of the planning target volume (PTV), defined by adding a 1.0 mm margin to the gross tumor volume (GTV). The dosimetric parameters were compared among the six plans. RESULTS For GTV > 0.1 cm3, the ratio of brain-GTV volumes receiving 25 Gy to PTV (V25Gy/PTV) was significantly lower at IDL 40%-70% than at IDL 80% and 33% (p < 0.01, retrospectively). For GTV < 0.1 cm3, V25Gy/PTV decreased continuously as IDL decreased. The values of D99% and D80% for GTV increased with decreasing IDL. An IDL of 50% or less was required to achieve D99% of greater than 43 Gy and D80% of greater than 50 Gy. The mean values of D99% and D80% for IDL 50% were 44.3 and 51.9 Gy. CONCLUSION The optimal IDL is 40%-50% for GTV > 0.1 cm3. These lower IDLs could increase D99% and D80% of GTV while lowering V25Gy of normal brain tissue, which may help reduce the risk of radiation necrosis and improve local control.
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Affiliation(s)
- Tomohiro Sagawa
- Department of Radiation OncologyOsaka International Cancer InstituteOsakaJapan
| | - Toshiki Ikawa
- Department of Radiation OncologyOsaka International Cancer InstituteOsakaJapan
| | - Shingo Ohira
- Department of Radiation OncologyOsaka International Cancer InstituteOsakaJapan
| | - Naoyuki Kanayama
- Department of Radiation OncologyOsaka International Cancer InstituteOsakaJapan
| | - Yoshihiro Ueda
- Department of Radiation OncologyOsaka International Cancer InstituteOsakaJapan
| | - Shoki Inui
- Department of Radiation OncologyOsaka International Cancer InstituteOsakaJapan
| | - Masayoshi Miyazaki
- Department of Radiation OncologyOsaka International Cancer InstituteOsakaJapan
| | - Koji Konishi
- Department of Radiation OncologyOsaka International Cancer InstituteOsakaJapan
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14
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Lee JH, Kim IY, Jung S, Jung TY, Moon KS, Kim YJ, Park SJ, Lim SH. Two-Day Fraction Gamma Knife Radiosurgery for Large Brain Metastasis. J Korean Neurosurg Soc 2024; 67:560-567. [PMID: 38124366 PMCID: PMC11375075 DOI: 10.3340/jkns.2023.0214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 11/19/2023] [Accepted: 12/16/2023] [Indexed: 12/23/2023] Open
Abstract
OBJECTIVE We investigated how treating large brain metastasis (LBM) using 2-day fraction Gamma Knife radiosurgery (GKRS) affects tumor control and patient survival. A prescription dose of 10.3 Gy was applied for 2 consecutive days, with a biologically effective dose equivalent to a tumor single-fraction dose of 16.05 Gy and a brain single-fraction dose of 15.12 Gy. METHODS Between November 2017 and December 2021, 42 patients (mean age, 68.3 years; range, 50-84 years; male, 29 [69.1%]; female, 13 [30.9%]) with 44 tumors underwent 2-day fraction GKRS to treat large volume brain metastasis. The main cancer types were non-small cell lung cancer (n=16), small cell lung cancer (n=7), colorectal cancer (n=7), breast cancer (n=3), gastric cancer (n=2), and other cancers (n=7). Twenty-one patients (50.0%) had a single LBM, 19 (46.3%) had a single LBM and other metastases, and two had two (4.7%) large brain metastases. At the time of the 2-day fraction GKRS, the tumors had a mean volume of 23.1 mL (range, 12.5-67.4). On each day, radiation was administered at a dose of 10.3 Gy, mainly using a 50% isodose-line. RESULTS We obtained clinical and magnetic resonance imaging follow-up data for 34 patients (81%) with 35 tumors, who had undergone 2-day fraction GKRS. These patients did not experience acute or late radiation-induced complications during follow-up. The median and mean progression-free survival (PFS) periods were 188 and 194 days, respectively. The local control rates at 6, 9, and 12 months were 77%, 40%, and 34%, respectively. The prognostic factors related to PFS were prior radiotherapy (p=0.019) and lung cancer origin (p=0.041). Other factors such as tumor volumes, each isodose volumes, and peri-GKRS systemic treatment were not significantly related to PFS. The overall survival period of the 44 patients following repeat stereotactic radiosurgery (SRS) ranged from 15-878 days (median, 263±38 days; mean, 174±43 days) after the 2-day fraction GKRS. Eight patients (18.2%) were still alive. CONCLUSION Considering the unsatisfactory tumor control, a higher prescription dose should be needed in this procedure as a salvage management. Moreover, in the treatment for LBM with fractionated SRS, using different isodoses and prescription doses at the treatment planning for LBMs should be important. However, this report might be a basic reference with the same fraction number and prescription dose in the treatment for LBMs with frame-based SRS.
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Affiliation(s)
- Joo-Hwan Lee
- Brain Tumor Clinic & Gamma Knife Center, Department of Neurosurgery, Chonnam National University Hwasun Hospital, Hwasun, Korea
| | - In-Young Kim
- Brain Tumor Clinic & Gamma Knife Center, Department of Neurosurgery, Chonnam National University Hwasun Hospital, Hwasun, Korea
- Department of Neurosurgery, Chonnam National University Medical School, Hwasun, Korea
| | - Shin Jung
- Brain Tumor Clinic & Gamma Knife Center, Department of Neurosurgery, Chonnam National University Hwasun Hospital, Hwasun, Korea
- Department of Neurosurgery, Chonnam National University Medical School, Hwasun, Korea
| | - Tae-Young Jung
- Brain Tumor Clinic & Gamma Knife Center, Department of Neurosurgery, Chonnam National University Hwasun Hospital, Hwasun, Korea
- Department of Neurosurgery, Chonnam National University Medical School, Hwasun, Korea
| | - Kyung-Sub Moon
- Brain Tumor Clinic & Gamma Knife Center, Department of Neurosurgery, Chonnam National University Hwasun Hospital, Hwasun, Korea
- Department of Neurosurgery, Chonnam National University Medical School, Hwasun, Korea
| | - Yeong-Jin Kim
- Brain Tumor Clinic & Gamma Knife Center, Department of Neurosurgery, Chonnam National University Hwasun Hospital, Hwasun, Korea
| | - Sue-Jee Park
- Brain Tumor Clinic & Gamma Knife Center, Department of Neurosurgery, Chonnam National University Hwasun Hospital, Hwasun, Korea
| | - Sa-Hoe Lim
- Brain Tumor Clinic & Gamma Knife Center, Department of Neurosurgery, Chonnam National University Hwasun Hospital, Hwasun, Korea
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15
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Zhou P, Chang Y, Li S, Luo J, Lei L, Shang Y, Pei X, Ren Q, Chen C. Clinical application of a GPU-accelerated monte carlo dose verification for cyberknife M6 with Iris collimator. Radiat Oncol 2024; 19:86. [PMID: 38956685 PMCID: PMC11221037 DOI: 10.1186/s13014-024-02446-1] [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: 10/08/2023] [Accepted: 04/29/2024] [Indexed: 07/04/2024] Open
Abstract
PURPOSE To apply an independent GPU-accelerated Monte Carlo (MC) dose verification for CyberKnife M6 with Iris collimator and evaluate the dose calculation accuracy of RayTracing (TPS-RT) algorithm and Monte Carlo (TPS-MC) algorithm in the Precision treatment planning system (TPS). METHODS GPU-accelerated MC algorithm (ArcherQA-CK) was integrated into a commercial dose verification system, ArcherQA, to implement the patient-specific quality assurance in the CyberKnife M6 system. 30 clinical cases (10 cases in head, and 10 cases in chest, and 10 cases in abdomen) were collected in this study. For each case, three different dose calculation methods (TPS-MC, TPS-RT and ArcherQA-CK) were implemented based on the same treatment plan and compared with each other. For evaluation, the 3D global gamma analysis and dose parameters of the target volume and organs at risk (OARs) were analyzed comparatively. RESULTS For gamma pass rates at the criterion of 2%/2 mm, the results were over 98.0% for TPS-MC vs.TPS-RT, TPS-MC vs. ArcherQA-CK and TPS-RT vs. ArcherQA-CK in head cases, 84.9% for TPS-MC vs.TPS-RT, 98.0% for TPS-MC vs. ArcherQA-CK and 83.3% for TPS-RT vs. ArcherQA-CK in chest cases, 98.2% for TPS-MC vs.TPS-RT, 99.4% for TPS-MC vs. ArcherQA-CK and 94.5% for TPS-RT vs. ArcherQA-CK in abdomen cases. For dose parameters of planning target volume (PTV) in chest cases, the deviations of TPS-RT vs. TPS-MC and ArcherQA-CK vs. TPS-MC had significant difference (P < 0.01), and the deviations of TPS-RT vs. TPS-MC and TPS-RT vs. ArcherQA-CK were similar (P > 0.05). ArcherQA-CK had less calculation time compared with TPS-MC (1.66 min vs. 65.11 min). CONCLUSIONS Our proposed MC dose engine (ArcherQA-CK) has a high degree of consistency with the Precision TPS-MC algorithm, which can quickly identify the calculation errors of TPS-RT algorithm for some chest cases. ArcherQA-CK can provide accurate patient-specific quality assurance in clinical practice.
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Affiliation(s)
- Peng Zhou
- Department of Cancer Center, Daping Hospital, Army Medical University, Chongqing, China
| | - Yankui Chang
- School of Nuclear Science and Technology, University of Science and Technology of China, Hefei, China
| | - Shijun Li
- School of Nuclear Science and Technology, University of Science and Technology of China, Hefei, China
| | - Jia Luo
- Department of Cancer Center, Daping Hospital, Army Medical University, Chongqing, China
| | - Lin Lei
- Department of Cancer Center, Daping Hospital, Army Medical University, Chongqing, China
| | - Yufen Shang
- Department of Radiation Oncology, Dezhou Second People's Hospital, Dezhou, China
| | - Xi Pei
- Anhui Wisdom Technology Company Limited, Hefei, China
| | - Qiang Ren
- Anhui Wisdom Technology Company Limited, Hefei, China.
| | - Chuan Chen
- Department of Cancer Center, Daping Hospital, Army Medical University, Chongqing, China.
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Kim M, Wang JY, Lu W, Jiang H, Stojadinovic S, Wardak Z, Dan T, Timmerman R, Wang L, Chuang C, Szalkowski G, Liu L, Pollom E, Rahimy E, Soltys S, Chen M, Gu X. Where Does Auto-Segmentation for Brain Metastases Radiosurgery Stand Today? Bioengineering (Basel) 2024; 11:454. [PMID: 38790322 PMCID: PMC11117895 DOI: 10.3390/bioengineering11050454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Revised: 04/26/2024] [Accepted: 04/30/2024] [Indexed: 05/26/2024] Open
Abstract
Detection and segmentation of brain metastases (BMs) play a pivotal role in diagnosis, treatment planning, and follow-up evaluations for effective BM management. Given the rising prevalence of BM cases and its predominantly multiple onsets, automated segmentation is becoming necessary in stereotactic radiosurgery. It not only alleviates the clinician's manual workload and improves clinical workflow efficiency but also ensures treatment safety, ultimately improving patient care. Recent strides in machine learning, particularly in deep learning (DL), have revolutionized medical image segmentation, achieving state-of-the-art results. This review aims to analyze auto-segmentation strategies, characterize the utilized data, and assess the performance of cutting-edge BM segmentation methodologies. Additionally, we delve into the challenges confronting BM segmentation and share insights gleaned from our algorithmic and clinical implementation experiences.
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Affiliation(s)
- Matthew Kim
- Department of Radiation Oncology, Stanford University, Stanford, CA 94305, USA
| | - Jen-Yeu Wang
- Department of Radiation Oncology, Stanford University, Stanford, CA 94305, USA
| | - Weiguo Lu
- Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX 75390, USA
| | - Hao Jiang
- NeuralRad LLC, Madison, WI 53717, USA
| | | | - Zabi Wardak
- Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX 75390, USA
| | - Tu Dan
- Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX 75390, USA
| | - Robert Timmerman
- Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX 75390, USA
| | - Lei Wang
- Department of Radiation Oncology, Stanford University, Stanford, CA 94305, USA
| | - Cynthia Chuang
- Department of Radiation Oncology, Stanford University, Stanford, CA 94305, USA
| | - Gregory Szalkowski
- Department of Radiation Oncology, Stanford University, Stanford, CA 94305, USA
| | - Lianli Liu
- Department of Radiation Oncology, Stanford University, Stanford, CA 94305, USA
| | - Erqi Pollom
- Department of Radiation Oncology, Stanford University, Stanford, CA 94305, USA
| | - Elham Rahimy
- Department of Radiation Oncology, Stanford University, Stanford, CA 94305, USA
| | - Scott Soltys
- Department of Radiation Oncology, Stanford University, Stanford, CA 94305, USA
| | - Mingli Chen
- Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX 75390, USA
| | - Xuejun Gu
- Department of Radiation Oncology, Stanford University, Stanford, CA 94305, USA
- Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX 75390, USA
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Yun S, Park JE, Kim N, Park SY, Kim HS. Reducing false positives in deep learning-based brain metastasis detection by using both gradient-echo and spin-echo contrast-enhanced MRI: validation in a multi-center diagnostic cohort. Eur Radiol 2024; 34:2873-2884. [PMID: 37891415 DOI: 10.1007/s00330-023-10318-7] [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: 04/24/2023] [Revised: 08/08/2023] [Accepted: 08/18/2023] [Indexed: 10/29/2023]
Abstract
OBJECTIVES To develop a deep learning (DL) for detection of brain metastasis (BM) that incorporates both gradient- and turbo spin-echo contrast-enhanced MRI (dual-enhanced DL) and evaluate it in a clinical cohort in comparison with human readers and DL using gradient-echo-based imaging only (GRE DL). MATERIALS AND METHODS DL detection was developed using data from 200 patients with BM (training set) and tested in 62 (internal) and 48 (external) consecutive patients who underwent stereotactic radiosurgery and diagnostic dual-enhanced imaging (dual-enhanced DL) and later guide GRE imaging (GRE DL). The detection sensitivity and positive predictive value (PPV) were compared between two DLs. Two neuroradiologists independently analyzed BM and reference standards for BM were separately drawn by another neuroradiologist. The relative differences (RDs) from the reference standard BM numbers were compared between the DLs and neuroradiologists. RESULTS Sensitivity was similar between GRE DL (93%, 95% confidence interval [CI]: 90-96%) and dual-enhanced DL (92% [89-94%]). The PPV of the dual-enhanced DL was higher (89% [86-92%], p < .001) than that of GRE DL (76%, [72-80%]). GRE DL significantly overestimated the number of metastases (false positives; RD: 0.05, 95% CI: 0.00-0.58) compared with neuroradiologists (RD: 0.00, 95% CI: - 0.28, 0.15, p < .001), whereas dual-enhanced DL (RD: 0.00, 95% CI: 0.00-0.15) did not show a statistically significant difference from neuroradiologists (RD: 0.00, 95% CI: - 0.20-0.10, p = .913). CONCLUSION The dual-enhanced DL showed improved detection of BM and reduced overestimation compared with GRE DL, achieving similar performance to neuroradiologists. CLINICAL RELEVANCE STATEMENT The use of deep learning-based brain metastasis detection with turbo spin-echo imaging reduces false positive detections, aiding in the guidance of stereotactic radiosurgery when gradient-echo imaging alone is employed. KEY POINTS •Deep learning for brain metastasis detection improved by using both gradient- and turbo spin-echo contrast-enhanced MRI (dual-enhanced deep learning). •Dual-enhanced deep learning increased true positive detections and reduced overestimation. •Dual-enhanced deep learning achieved similar performance to neuroradiologists for brain metastasis counts.
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Affiliation(s)
- Suyoung Yun
- Department of Radiology, Busan Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea
| | - Ji Eun Park
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 43 Olympic-Ro 88, Songpa-Gu, Seoul, 05505, Republic of Korea.
| | | | - Seo Young Park
- Department of Statistics and Data Science, Korea National Open University, Seoul, Republic of Korea
| | - Ho Sung Kim
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 43 Olympic-Ro 88, Songpa-Gu, Seoul, 05505, Republic of Korea
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18
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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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19
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Schack A, Aunan-Diop JS, Gerhardt FA, Pedersen CB, Halle B, Kofoed MS, Markovic L, Wirenfeldt M, Poulsen FR. Evaluating the Efficacy of Perfusion MRI and Conventional MRI in Distinguishing Recurrent Cerebral Metastasis from Brain Radiation Necrosis. Brain Sci 2024; 14:321. [PMID: 38671973 PMCID: PMC11048647 DOI: 10.3390/brainsci14040321] [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: 02/28/2024] [Revised: 03/25/2024] [Accepted: 03/26/2024] [Indexed: 04/28/2024] Open
Abstract
Differentiating recurrent cerebral metastasis (CM) from brain radiation necrosis (BRN) is pivotal for guiding appropriate treatment and prognostication. Despite advances in imaging techniques, however, accurately distinguishing these conditions non-invasively is still challenging. This single-center retrospective study reviewed 32 cases (28 patients) with confirmed cerebral metastases who underwent surgical excision of lesions initially diagnosed by MRI and/or MR perfusion scans from 1 January 2015 to 30 September 2020. Diagnostic accuracy was assessed by comparing imaging findings with postoperative histopathology. Conventional MRI accurately identified recurrent CM in 75% of cases. MR perfusion scans showed significantly higher mean maximum relative cerebral blood volume (max. rCBV) in metastasis cases, indicating its potential as a discriminative biomarker. No single imaging modality could definitively distinguish CM from BRN. Survival analysis revealed gender as the only significant factor affecting overall survival, with no significant survival difference observed between patients with CM and BRN after controlling for confounding factors. This study underscores the limitations of both conventional MRI and MR perfusion scans in differentiating recurrent CM from BRN. Histopathological examination remains essential for accurate diagnosis. Further research is needed to improve the reliability of non-invasive imaging and to guide the management of patients with these post-radiation events.
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Affiliation(s)
- Anders Schack
- Department of Neurosurgery, Odense University Hospital, DK-5000 Odense, Denmark
- Department of Clinical Research, BRIDGE (Brain Research—Inter Disciplinary Guided Excellence), University of Southern Denmark, DK-5230 Odense, Denmark
| | - Jan Saip Aunan-Diop
- Department of Neurosurgery, Odense University Hospital, DK-5000 Odense, Denmark
- Department of Clinical Research, BRIDGE (Brain Research—Inter Disciplinary Guided Excellence), University of Southern Denmark, DK-5230 Odense, Denmark
| | - Frederik A. Gerhardt
- Department of Neurosurgery, Odense University Hospital, DK-5000 Odense, Denmark
- Department of Clinical Research, BRIDGE (Brain Research—Inter Disciplinary Guided Excellence), University of Southern Denmark, DK-5230 Odense, Denmark
| | - Christian Bonde Pedersen
- Department of Neurosurgery, Odense University Hospital, DK-5000 Odense, Denmark
- Department of Clinical Research, BRIDGE (Brain Research—Inter Disciplinary Guided Excellence), University of Southern Denmark, DK-5230 Odense, Denmark
| | - Bo Halle
- Department of Neurosurgery, Odense University Hospital, DK-5000 Odense, Denmark
- Department of Clinical Research, BRIDGE (Brain Research—Inter Disciplinary Guided Excellence), University of Southern Denmark, DK-5230 Odense, Denmark
| | - Mikkel S. Kofoed
- Department of Neurosurgery, Odense University Hospital, DK-5000 Odense, Denmark
- Department of Clinical Research, BRIDGE (Brain Research—Inter Disciplinary Guided Excellence), University of Southern Denmark, DK-5230 Odense, Denmark
| | - Ljubo Markovic
- Department of Radiology, Odense University Hospital, DK-5000 Odense, Denmark
| | - Martin Wirenfeldt
- Department of Pathology, University Hospital of Southern Denmark, DK-6000 Esbjerg, Denmark
- Department of Regional Health Research, BRIDGE (Brain Research—Inter Disciplinary Guided Excellence), University of Southern Denmark, DK-5230 Odense, Denmark
| | - Frantz Rom Poulsen
- Department of Neurosurgery, Odense University Hospital, DK-5000 Odense, Denmark
- Department of Clinical Research, BRIDGE (Brain Research—Inter Disciplinary Guided Excellence), University of Southern Denmark, DK-5230 Odense, Denmark
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20
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Mohammadi M, Banisharif S, Moradi F, Zamanian M, Tanzifi G, Ghaderi S. Brain diffusion MRI biomarkers after oncology treatments. Rep Pract Oncol Radiother 2024; 28:823-834. [PMID: 38515826 PMCID: PMC10954263 DOI: 10.5603/rpor.98728] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 12/04/2023] [Indexed: 03/23/2024] Open
Abstract
In addition to providing a measurement of the tumor's size and dimensions, magnetic resonance imaging (MRI) provides excellent noninvasive radiographic detection of tumor location. The MRI technique is an important modality that has been shown to be useful in the prognosis, diagnosis, treatment planning, and evaluation of response and recurrence in solid cancers. Diffusion-weighted imaging (DWI) is an imaging technique that quantifies water mobility. This imaging approach is good for identifying sub-voxel microstructure of tissues, correlates with tumor cellularity, and has been proven to be valuable in the early assessment of cytotoxic treatment for a variety of malignancies. Diffusion tensor imaging (DTI) is an MRI method that assesses the preferred amount of water transport inside tissues. This enables precise measurements of water diffusion, which changes according to the direction of white matter fibers, their density, and myelination. This measurement corresponds to some related variables: fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), axial diffusivity (AD), and others. DTI biomarkers can detect subtle changes in white matter microstructure and integrity following radiation therapy (RT) or chemoradiotherapy, which may have implications for cognitive function and quality of life. In our study, these indices were evaluated after brain chemoradiotherapy.
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Affiliation(s)
- Mahdi Mohammadi
- Department of Medical Physics and Biomedical Engineering, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Shabnam Banisharif
- Department of Medical Physics, School of Medicine, Isfahan University of Medical Science, Isfahan, Iran
| | - Fatemeh Moradi
- Department of Energy Engineering & Physics, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran
| | - Maryam Zamanian
- Department of Medical Physics, School of Medicine, Isfahan University of Medical Science, Isfahan, Iran
| | - Ghazal Tanzifi
- Department of Nuclear Engineering, Islamic Azad University, Central Tehran Branch, Tehran, Iran
| | - Sadegh Ghaderi
- Department of Neuroscience and Addiction Studies, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, Iran
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21
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Zubatkina I, Toma-Dasu I, Dasu A, Levivier M, Tuleasca C, Ivanov P. Clinically Driven Alpha/Beta Ratios for Melanoma Brain Metastases and Investigation of Biologically Effective Dose as a Predictor for Local Control After Radiosurgery: A Proof of Concept in a Retrospective Longitudinal Series of 274 Consecutive Lesions. Neurosurgery 2024; 94:423-430. [PMID: 37665222 DOI: 10.1227/neu.0000000000002639] [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: 11/25/2022] [Accepted: 06/14/2023] [Indexed: 09/05/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Brain metastases (BM) develop in nearly half of the patients with advanced melanoma. The aim of this retrospective historical cohort study was to analyze radiological response of melanoma BM to single-fraction Gamma Knife radiosurgery (GKRS), in relation to biologically effective dose (BED) for various alpha/beta ratios. METHODS Included in the study were 274 lesions. Primary outcome was local control (LC). Mean marginal dose was 21.6 Gy (median 22, range 15-25). Biologically effective dose was calculated for an alpha/beta ratio of 3 (Gy 3 ), 5 (Gy 10 ), 10 (Gy 10 ), and 15 (Gy 15 ). RESULTS Receiver operating characteristic value for LC and BED was 85% (most statistically significant odds ratio 1.14 for BED Gy 15 , P = .006), while for LC and physical dose was 79% ( P = .02). When comparing equality of 2 receiver operating characteristic areas, this was statistically significant ( P = .02 and .03). Fractional polynomial regression revealed BED (Gy 10 and Gy 15 ) as statistically significant ( P = .05) with BED of more than 63 Gy 10 or 49 Gy 15 as relevant, also for higher probability of quick decrease in volume first month after GKRS and lower probability of radiation necrosis. Shorter irradiation time was associated with better LC ( P = .001), particularly less than 40 minutes (LC below 90%, P = .05). CONCLUSION BED Gy 10 and particularly Gy 15 were more statistically significant than physical dose for LC after GKRS for radioresistant melanoma BM. Irradiation time (per lesion) longer than 40 minutes was predictive for lower rates of LC. Such results need to be validated in larger cohorts.
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Affiliation(s)
- Irina Zubatkina
- Department of Radiosurgery, Stereotactic Radiotherapy and General Oncology Clinic MIBS, Saint Petersburg , Russia
- Peter the Great St. Petersburg Polytechnic University, Saint Petersburg , Russia
| | - Iuliana Toma-Dasu
- Oncology Pathology Department, Karolinska Institutet, Stockholm , Sweden
- Medical Radiation Physics, Stockholm University, Stockholm , Sweden
| | - Alexandru Dasu
- Medical Radiation Sciences, Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala , Sweden
| | - Marc Levivier
- Department of Clinical Neurosciences, Neurosurgery Service and Gamma Knife Center, Centre Hospitalier Universitaire Vaudois, Lausanne , Switzerland
- University of Lausanne (UNIL), Faculty of Biology and Medicine (FBM), Lausanne , Switzerland
| | - Constantin Tuleasca
- Department of Clinical Neurosciences, Neurosurgery Service and Gamma Knife Center, Centre Hospitalier Universitaire Vaudois, Lausanne , Switzerland
- University of Lausanne (UNIL), Faculty of Biology and Medicine (FBM), Lausanne , Switzerland
- Signal Processing Laboratory (LTS 5), Ecole Polytechnique Fédérale de Lausanne, Lausanne , Switzerland
| | - Pavel Ivanov
- Department of Radiosurgery, Stereotactic Radiotherapy and General Oncology Clinic MIBS, Saint Petersburg , Russia
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22
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Wu B, Li S, Wang J, Wang J, Qiu W, Gao H. Bibliometric and visualization analysis of radiation brain injury from 2003 to 2023. Front Neurol 2024; 14:1275836. [PMID: 38298563 PMCID: PMC10828967 DOI: 10.3389/fneur.2023.1275836] [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: 08/12/2023] [Accepted: 12/15/2023] [Indexed: 02/02/2024] Open
Abstract
Background Over the past two decades, the field of radiation brain injury has attracted the attention of an increasing number of brain scientists, particularly in the areas of molecular pathology and therapeutic approaches. Characterizing global collaboration networks and mapping development trends over the past 20 years is essential. Objective The aim of this paper is to examine significant issues and future directions while shedding light on collaboration and research status in the field of radiation brain injury. Methods Bibliometric studies were performed using CiteSpaceR-bibliometrix and VOSviewer software on papers regarding radiation brain injury that were published before November 2023 in the Web of Science Core Collection. Results In the final analysis, we found 4,913 records written in 1,219 publications by 21,529 authors from 5,007 institutions in 75 countries. There was a noticeable increase in publications in 2014 and 2021. The majority of records listed were produced by China, the United States, and other high-income countries. The largest nodes in each cluster of the collaboration network were Sun Yat-sen University, University of California-San Francisco, and the University of Toronto. Galldiks N, Barnett GH, Langen KJ and Kim JH are known to be core authors in the field. The top 3 keywords in that time frame are radiation, radiation necrosis, and radiation-therapy. Conclusions The objective and thorough bibliometric analysis also identifies current research hotspots and potential future paths, providing a retrospective perspective on RBI and offering useful advice to researchers choosing research topics. Future development directions include the integration of multi-omics methodologies and novel imaging techniques to improve RBI's diagnostic effectiveness and the search for new therapeutic targets.
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Affiliation(s)
- Baofang Wu
- Department of Neurosurgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
- Department of Neurosurgery, The Second Affiliated Clinical Medical College of Fujian Medical University, Quanzhou, China
| | - Shaojie Li
- Department of Neurosurgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
- Department of Neurosurgery, The Second Affiliated Clinical Medical College of Fujian Medical University, Quanzhou, China
| | - Jian Wang
- Department of Pathology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Jiayin Wang
- Department of Neurosurgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
- Department of Neurosurgery, The Second Affiliated Clinical Medical College of Fujian Medical University, Quanzhou, China
| | - Weizhi Qiu
- Department of Neurosurgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
- Department of Neurosurgery, The Second Affiliated Clinical Medical College of Fujian Medical University, Quanzhou, China
| | - Hongzhi Gao
- Department of Neurosurgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
- Department of Neurosurgery, The Second Affiliated Clinical Medical College of Fujian Medical University, Quanzhou, China
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23
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Shanbhag NM, Tom MC, Duncan A, Bin Sumaida A. Impact of Clinical Examination and Gamma Knife Surgery in Stage IV Breast Cancer With Brain Metastasis. Cureus 2024; 16:e51831. [PMID: 38196988 PMCID: PMC10776030 DOI: 10.7759/cureus.51831] [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] [Accepted: 01/08/2024] [Indexed: 01/11/2024] Open
Abstract
Metastatic breast cancer often presents with significant diagnostic and treatment challenges. This case report highlights the crucial role of thorough clinical examination and history-taking in diagnosing and managing a patient with metastatic breast cancer, mainly focusing on the successful integration of Gamma Knife radiosurgery (GKRS). We present a case of a 68-year-old postmenopausal woman with metastatic breast cancer, initially presenting with a primary tumour in the left breast and later developing a solitary brain metastasis (BM) in the left temporal lobe. Following neoadjuvant chemotherapy and left mastectomy, the patient experienced involuntary movements in the right arm, leading to the discovery of the brain lesion. Critical to this diagnosis was a detailed clinical examination emphasising the importance of vigilant monitoring in cancer management. The patient underwent GKRS, offering a focused and less invasive treatment approach with favourable outcomes. This case underscores the value of clinical vigilance in managing complex breast cancer cases. The integration of GKRS as a targeted treatment modality for BM represents a pivotal aspect of modern oncological care, especially for patients with multiple treatment modalities. This report emphasizes the importance of clinical examination in the early detection of complications such as BM in breast cancer patients. Furthermore, it demonstrates the effectiveness of GKRS in managing such metastases, reinforcing its role as a valuable tool in the multidisciplinary treatment approach for advanced breast cancer.
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Affiliation(s)
- Nandan M Shanbhag
- Oncology, Tawam Hospital, Al Ain, ARE
- Internal Medicine, United Arab Emirates University, Al Ain, ARE
| | - Martin C Tom
- Radiation Oncology, MD Anderson Cancer Center, Houston, USA
| | - Albert Duncan
- Surgery, Mount St. John's Medical Center, St. John's, ATG
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24
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Cuthbert H, Riley M, Bhatt S, Au-Yeung CK, Arshad A, Eladawi S, Zisakis A, Tsermoulas G, Watts C, Wykes V. Utility of a prognostic assessment tool to predict survival following surgery for brain metastases. Neurooncol Pract 2023; 10:586-591. [PMID: 38026583 PMCID: PMC10666803 DOI: 10.1093/nop/npad047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2023] Open
Abstract
Background Brain metastases account for more than 50% of all intracranial tumors and are associated with poor outcomes. Treatment decisions in this highly heterogenous cohort remain controversial due to the myriad of treatment options available, and there is no clearly defined standard of care. The prognosis in brain metastasis patients varies widely with tumor type, extracranial disease burden and patient performance status. Decision-making regarding treatment is, therefore, tailored to each patient and their disease. Methods This is a retrospective cohort study assessing survival outcomes following surgery for brain metastases over a 50-month period (April 1, 2014-June 30, 2018). We compared predicted survival using the diagnosis-specific Graded Prognostic Assessment (ds-GPA) with actual survival. Results A total of 186 patients were included in our cohort. Regression analysis demonstrated no significant correlation between actual and predicted outcome. The most common reason for exclusion was insufficient information being available to the neuro-oncology multidisciplinary team (MDT) meeting to allow GPA calculation. Conclusions In this study, we demonstrate that "predicted survival" using the ds-GPA does not correlate with "actual survival" in our operated patient cohort. We also identify a shortcoming in the amount of information available at MDT in order to implement the GPA appropriately. Patient selection for aggressive therapies is crucial, and this study emphasizes the need for treatment decisions to be individualized based on patient and cancer clinical characteristics.
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Affiliation(s)
- Hadleigh Cuthbert
- Department of Neurosurgery, Queen Elizabeth Hospital, Mindelsohn Way, Birmingham, UK
| | - Max Riley
- University of Birmingham Medical School, Birmingham, UK
| | - Shreya Bhatt
- University of Birmingham Medical School, Birmingham, UK
| | | | - Ayesha Arshad
- Department of Neurosurgery, Queen Elizabeth Hospital, Mindelsohn Way, Birmingham, UK
| | - Sondos Eladawi
- Department of Neurosurgery, Queen Elizabeth Hospital, Mindelsohn Way, Birmingham, UK
| | - Athanasios Zisakis
- Department of Neurosurgery, Queen Elizabeth Hospital, Mindelsohn Way, Birmingham, UK
| | - Georgios Tsermoulas
- Department of Neurosurgery, Queen Elizabeth Hospital, Mindelsohn Way, Birmingham, UK
| | - Colin Watts
- Department of Neurosurgery, Queen Elizabeth Hospital, Mindelsohn Way, Birmingham, UK
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
| | - Victoria Wykes
- Department of Neurosurgery, Queen Elizabeth Hospital, Mindelsohn Way, Birmingham, UK
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, UK
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25
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Schnurman Z, Mashiach E, Link KE, Donahue B, Sulman E, Silverman J, Golfinos JG, Oermann EK, Kondziolka D. Causes of Death in Patients With Brain Metastases. Neurosurgery 2023; 93:986-993. [PMID: 37255296 DOI: 10.1227/neu.0000000000002542] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Accepted: 04/04/2023] [Indexed: 06/01/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Advances in targeted therapies and wider application of stereotactic radiosurgery (SRS) have redefined outcomes of patients with brain metastases. Under modern treatment paradigms, there remains limited characterization of which aspects of disease drive demise and in what frequencies. This study aims to characterize the primary causes of terminal decline and evaluate differences in underlying intracranial tumor dynamics in patients with metastatic brain cancer. These fundamental details may help guide management, patient counseling, and research priorities. METHODS Using NYUMets-Brain-the largest, longitudinal, real-world, open data set of patients with brain metastases-patients treated at New York University Langone Health between 2012 and 2021 with SRS were evaluated. A review of electronic health records allowed for the determination of a primary cause of death in patients who died during the study period. Causes were classified in mutually exclusive, but collectively exhaustive, categories. Multilevel models evaluated for differences in dynamics of intracranial tumors, including changes in volume and number. RESULTS Of 439 patients with end-of-life data, 73.1% died secondary to systemic disease, 10.3% died secondary to central nervous system (CNS) disease, and 16.6% died because of other causes. CNS deaths were driven by acute increases in intracranial pressure (11%), development of focal neurological deficits (18%), treatment-resistant seizures (11%), and global decline driven by increased intracranial tumor burden (60%). Rate of influx of new intracranial tumors was almost twice as high in patients who died compared with those who survived ( P < .001), but there was no difference in rates of volume change per intracranial tumor ( P = .95). CONCLUSION Most patients with brain metastases die secondary to systemic disease progression. For patients who die because of neurological disease, tumor dynamics and cause of death mechanisms indicate that the primary driver of decline for many may be unchecked systemic disease with unrelenting spread of new tumors to the CNS rather than failure of local growth control.
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Affiliation(s)
- Zane Schnurman
- Department of Neurosurgery, NYU Langone Health, New York , New York , USA
| | - Elad Mashiach
- Department of Neurosurgery, NYU Langone Health, New York , New York , USA
| | - Katherine E Link
- Department of Neurosurgery, NYU Langone Health, New York , New York , USA
| | - Bernadine Donahue
- Department of Radiation Oncology, NYU Langone Health, New York , New York , USA
| | - Erik Sulman
- Department of Radiation Oncology, NYU Langone Health, New York , New York , USA
| | - Joshua Silverman
- Department of Radiation Oncology, NYU Langone Health, New York , New York , USA
| | - John G Golfinos
- Department of Neurosurgery, NYU Langone Health, New York , New York , USA
| | - Eric Karl Oermann
- Department of Neurosurgery, NYU Langone Health, New York , New York , USA
| | - Douglas Kondziolka
- Department of Neurosurgery, NYU Langone Health, New York , New York , USA
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Depner JF, Berg T, Ejlertsen B, Andreasen LW, Møller S, Maraldo MV. Treating brain metastases in metastatic breast cancer: outcomes after stereotactic radiosurgery examined in a retrospective, single-center cohort analysis. Acta Oncol 2023; 62:1502-1510. [PMID: 37750329 DOI: 10.1080/0284186x.2023.2260942] [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: 05/19/2023] [Accepted: 09/14/2023] [Indexed: 09/27/2023]
Abstract
INTRODUCTION We examined the role of receptor profiles and other prognostic factors in survival outcomes after stereotactic radiosurgery (SRS) for brain metastases in breast cancer patients, to help improve selection of candidates for SRS. MATERIAL AND METHODS We included 149 consecutive patients who received SRS between 2012 and 2019 at the University Hospital of Copenhagen, Rigshospitalet, Denmark. Overall survival (OS) following SRS was determined through the Kaplan-Meier method, while CNS progression-free survival (CNS-PFS) was determined through competing risk analysis. Prognostic factors for both OS and CNS-PFS were evaluated through uni- and multivariate Cox regression and Fine-Gray models, respectively. The proportional hazards assumptions were tested through Schoenfeld residuals, and non-proportionality was accounted for by the inclusion of time-dependent variables. RESULTS Median OS was 14.8 months for the entire cohort and was as follows for the four receptor profiles: 33.3 months for ER+/HER2+ (ER: estrogen receptor, HER2: human epidermal growth factor receptor 2), 11.0 months for ER+/HER2-, 17.7 months for ER-/HER2+, and 5.3 months for ER-/HER2-. In the multivariate model, the ER-/HER2- receptor profile (hazard ratio (HR): 2.00, 95% confidence interval (CI): 1.09-3.67) and the presence of extracranial visceral metastases (HR: 2.90, 95% CI: 1.53-5.50) were associated with worse OS. The ER+/HER2+ receptor profile (HR: 0.43, 95% CI: 0.19-0.96) and 5+ lines of treatment (HR: 0.40, 95% CI: 0.20-0.82) were both associated with improved OS. For CNS-PFS, 5+ lines of treatment (sub-distributional hazard ratio (SHR): 2.88, 95% CI: 1.06-7.81) was associated with worse CNS-PFS, while extracranial visceral metastases (SHR: 0.54, 95% CI: 0.30-0.97) was associated with reduced risk of CNS progression - which is primarily due to patients with extracranial metastases dying before developing new CNS progression. CONCLUSION Extracranial visceral disease and the ER-/HER2- receptor profile were associated with poor survival outcomes following SRS.
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Affiliation(s)
- Julie F Depner
- Danish Breast Cancer Cooperative Group, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Tobias Berg
- Danish Breast Cancer Cooperative Group, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Oncology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Bent Ejlertsen
- Danish Breast Cancer Cooperative Group, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Oncology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Lærke W Andreasen
- Department of Clinical Oncology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Søren Møller
- Department of Clinical Oncology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
| | - Maja V Maraldo
- Department of Clinical Oncology, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark
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Tham BZ, Aleman D, Nordström H, Nygren N, Coolens C. Plan Assessment Metrics for Dose Painting in Stereotactic Radiosurgery. Adv Radiat Oncol 2023; 8:101281. [PMID: 37415903 PMCID: PMC10320410 DOI: 10.1016/j.adro.2023.101281] [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: 10/18/2022] [Accepted: 05/23/2023] [Indexed: 07/08/2023] Open
Abstract
Purpose As radiation therapy treatment precision increases with advancements in imaging and radiation delivery, dose painting treatment becomes increasingly feasible, where targets receive a nonuniform radiation dose. The high precision of stereotactic radiosurgery (SRS) makes it a good candidate for dose painting treatments, but no suitable metrics to assess dose painting SRS plans exist. Existing dose painting assessment metrics weigh target overdose and underdose equally but are unsuited for SRS plans, which typically avoid target underdose more. Current SRS metrics also prioritize reducing healthy tissue dose through selectivity and dose fall-off, and these metrics assume single prescriptions. We propose a set of metrics for dose painting SRS that would meet clinical needs and are calculated with nonuniform dose painting prescriptions. Methods and Materials Sample dose painting SRS prescriptions are first created from Gamma Knife SRS cases, apparent diffusion coefficient magnetic resonance images, and various image-to-prescription functions. Treatment plans are found through semi-infinite linear programming optimization and using clinically determined isocenters, then assessed with existing and proposed metrics. Modified versions of SRS metrics are proposed, including coverage, selectivity, conformity, efficiency, and gradient indices. Quality factor, a current dose painting metric, is applied both without changes and with modifications. A new metric, integral dose ratio, is proposed as a measure of target overdose. Results The merits of existing and modified metrics are demonstrated and discussed. A modified conformity index using mean or minimum prescription dose would be suitable for dose painting SRS with integral or maximum boost methods, respectively. Either modified efficiency index is a suitable replacement for the existing gradient index. Conclusions The proposed modified SRS metrics are appropriate measures of plan quality for dose painting SRS plans and have the advantage of giving equal values as the original SRS metrics when applied to single-prescription plans.
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Affiliation(s)
- Benjamin Z. Tham
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario, Canada
| | - Dionne Aleman
- Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario, Canada
| | | | | | - Catherine Coolens
- Department of Radiation Oncology, Princess Margaret Cancer Centre, Toronto, Ontario, Canada
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Webb MJ, Breen WG, Laack NN, Leventakos K, Campian JL, Sener U. Proton craniospinal irradiation with bevacizumab and pembrolizumab for leptomeningeal disease: a case report. CNS Oncol 2023; 12:CNS101. [PMID: 37491842 PMCID: PMC10410687 DOI: 10.2217/cns-2023-0005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 07/03/2023] [Indexed: 07/27/2023] Open
Abstract
Leptomeningeal disease (LMD) remains a challenging condition with a dismal prognosis. In this case study, we report partial response of LMD in a patient with metastatic large cell neuroendocrine carcinoma following treatment with proton craniospinal irradiation (CSI), bevacizumab, and pembrolizumab. Two years after the initial diagnosis, he presented with LMD. He underwent proton CSI with bevacizumab followed by combination therapy with pembrolizumab and bevacizumab. He had a partial disease response with progression-free survival after LMD diagnosis of 4.6 months. He unfortunately developed pembrolizumab induced hypophysitis, after which he experienced rapid neurologic clinical progression. Overall, this novel combination led to a durable partial response which warrants prospective evaluation.
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Affiliation(s)
- Mason J Webb
- Department of Hematology & Oncology, Mayo Clinic, Rochester, MN 55905, USA
| | - William G Breen
- Department of Radiation Oncology, Mayo Clinic, Rochester, MN 55905, USA
| | - Nadia N Laack
- Department of Radiation Oncology, Mayo Clinic, Rochester, MN 55905, USA
| | | | - Jian L Campian
- Department of Oncology, Division of Medical Oncology, Mayo Clinic, Rochester, MN 55905, USA
| | - Ugur Sener
- Department of Neurology, Mayo Clinic, Rochester, MN 55905, USA
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Chen VE, Kim M, Nelson N, Kim IK, Shi W. Cost-effectiveness analysis of 3 radiation treatment strategies for patients with multiple brain metastases. Neurooncol Pract 2023; 10:344-351. [PMID: 37457226 PMCID: PMC10346394 DOI: 10.1093/nop/npac093] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2023] Open
Abstract
Background Patients diagnosed with multiple brain metastases often survive for less than 2 years, and clinicians must carefully evaluate the impact of interventions on quality of life. Three types of radiation treatment are widely accepted for patients with multiple brain metastases: Whole brain radiation therapy (WBRT), hippocampal avoidance whole-brain radiation therapy (HA-WBRT), and stereotactic radiosurgery (SRS). WBRT, the standard option, is less costly than its newer alternatives but causes more severe adverse effects such as memory loss. To determine whether the cost-effectiveness ratio of HA-WBRT and SRS are superior to WBRT, we used published data to simulate cases of multiple brain metastases. Methods We designed a Markov model using data from previously published studies to simulate the disease course of patients with 5 to 15 brain metastases and determine the cost-effectiveness of HA-WBRT and SRS relative to WBRT. Incremental cost-effectiveness ratios (ICERs) were calculated and compared against a willingness-to-pay threshold of $100 000 per quality-adjusted life year. Results SRS met the threshold for cost-effectiveness, with ICERs ranging $41 198-$54 852 for patients with 5 to 15 brain metastases; however, HA-WBRT was not cost-effective, with an ICER of $163 915 for all simulated patients. Model results were robust to sensitivity analyses. Conclusions We propose that SRS, but not HA-WBRT, should be offered to patients with multiple brain metastases as a treatment alternative to standard WBRT. Incorporating these findings into clinical practice will help promote patient-centered care and decrease national healthcare expenditures, thereby addressing issues around health equity and access to care.
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Affiliation(s)
- Victor Eric Chen
- Department of Radiation Oncology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Minchul Kim
- Center for Outcomes Research, University of Illinois College of Medicine at Peoria, Peoria, Illinois, USA
| | - Nicolas Nelson
- Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Inkyu Kevin Kim
- College of Population Health, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Wenyin Shi
- Department of Radiation Oncology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
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Yu Y, Huang K, Lin Y, Zhang J, Song C. Tyrosine kinase inhibitors in HER2-positive breast cancer brain metastases: A systematic review and meta-analysis. Cancer Med 2023; 12:15090-15100. [PMID: 37255389 PMCID: PMC10417165 DOI: 10.1002/cam4.6180] [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: 05/23/2022] [Revised: 05/04/2023] [Accepted: 05/20/2023] [Indexed: 06/01/2023] Open
Abstract
BACKGROUND Small tyrosine kinase inhibitors (TKIs) show activity against breast cancer brain metastases (BCBM) of the human epidermal growth factor receptor 2 (HER2)-positive subtype. This meta-analysis aimed to objectively explore the efficacy and safety of TKIs. METHODS Electronic databases were searched for relevant clinical trials. We conducted a pairwise meta-analysis, pooled analysis, and estimated summary survival curves to compare survival outcomes following TKIs therapy for BCBM patients using Stata version 16.0 or R x64 4.0.5. RESULTS Thirteen clinical trials involving 987 HER2-positive BCBM patients were analyzed. A trend of longer progression-free survival (PFS) was observed in the TKI-containing arm compared to the non-TKI-containing arm (hazard ratio = 0.64, 95% confidence interval [CI]: 0.35-1.15, p = 0.132), although the difference is not statistically significant. Summary survival curves reported the summary median PFS and overall survival were 7.9 months and 12.3 months. Subgroup analysis revealed that TKIs combined with capecitabine (TKI + Cap) regimens resulted in improved survival outcomes. Tucatinib may be more effective in BCBM patients. The main grade 3-5 adverse events (AEs) were diarrhea (22%, 95% CI: 14%-32%), neutropenia (11%, 95% CI: 5%-18%), hepatic toxicity (7%, 95% CI: 1%-16%), and sensory neuropathy (6%, 95% CI: 2%-12%). CONCLUSION TKIs therapy improved the survival outcomes of HER2-positive BCBM patients, especially when combined with capecitabine and tolerable AEs. We also identified the clinical value of tucatinib, which appears to be the most favorable TKI drug for BCBM patients.
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Affiliation(s)
- Yushuai Yu
- Department of Breast SurgeryFujian Medical University Union HospitalFuzhouChina
- Breast Cancer Institute, Fujian Medical UniversityFuzhouChina
| | - Kaiyan Huang
- Department of Breast SurgeryFujian Medical University Union HospitalFuzhouChina
- Breast Cancer Institute, Fujian Medical UniversityFuzhouChina
| | - Yuxiang Lin
- Department of Breast SurgeryFujian Medical University Union HospitalFuzhouChina
- Breast Cancer Institute, Fujian Medical UniversityFuzhouChina
- Department of General SurgeryFujian Medical University Union HospitalFuzhouChina
| | - Jie Zhang
- Department of Breast SurgeryFujian Medical University Union HospitalFuzhouChina
- Breast Cancer Institute, Fujian Medical UniversityFuzhouChina
- Department of General SurgeryFujian Medical University Union HospitalFuzhouChina
| | - Chuangui Song
- Department of Breast SurgeryFujian Medical University Union HospitalFuzhouChina
- Breast Cancer Institute, Fujian Medical UniversityFuzhouChina
- Department of General SurgeryFujian Medical University Union HospitalFuzhouChina
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Sammaddar D, Basu A, Roy P, Chowdhury H. Incidence and clinical profile of brain metastasis treated with whole brain radiotherapy in a tertiary hospital in eastern India: A retrospective audit. Indian J Cancer 2023; 60:337-344. [PMID: 36861704 DOI: 10.4103/ijc.ijc_1211_20] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Introduction Management of brain metastases (BM) is witnessing marked advancement worldwide and modern technologies with better outcomes are gradually being adopted in developing countries. However, data regarding current practice in this field is lacking from the Indian subcontinent prompting us to plan the current study. Materials and Methods A retrospective, single institutional audit was performed on 112 patients with solid tumors metastasizing to the brain treated over the last 4 years at a tertiary care center in eastern India, of which 79 were ultimately evaluable. Demography, patterns of incidence, and overall survival (OS) were determined. Results The prevalence of BM was 5.65% among all patients with solid tumors. The median age was 55 years with a slight male preponderance. Lung followed by breast were the most common primary subsites. Multiple BM (54%), left-sided (61%), and frontal lobe lesions (54%) were the more common. Metachronous BM was found in 76% of patients. All patients received whole brain radiation therapy (WBRT). The median OS for the entire cohort was 7 months (95% confidence interval [CI]: 4 - 19 months). The median OS for lung and breast primaries were 6.5 and 8 months and for recursive partitioning analysis (RPA) classes I, II, and III the OS were 11.5, 7, and 3 months, respectively. Median OS did not differ by number of or other sites of metastases. Conclusions The outcomes from our series about BM from solid tumors in patients from eastern Indian are in congruence to those available in the literature. Patients with BM are still largely treated with WBRT in resource-limited settings.
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Affiliation(s)
- Debdeep Sammaddar
- Department of Radiation Oncology, R.G. Kar Medical College and Hospital, Kolkata, India
| | - Abhishek Basu
- Department of Radiation Oncology, Burdwan Medical College and Hospital, Purba Bardhaman, India
| | - Pritha Roy
- Department of Radiation Oncology, R.G. Kar Medical College and Hospital, Kolkata, India
| | - Hambir Chowdhury
- Department of Radiation Oncology, Medical College and Hospital, Kolkata, West Bengal, India
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Berger A, Mullen R, Bernstein K, Alzate JD, Silverman JS, Sulman EP, Donahue BR, Chachoua A, Shum E, Velcheti V, Sabari J, Golfinos JG, Kondziolka D. Extended Survival in Patients With Non-Small-Cell Lung Cancer-Associated Brain Metastases in the Modern Era. Neurosurgery 2023; 93:50-59. [PMID: 36722962 DOI: 10.1227/neu.0000000000002372] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 11/17/2022] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Brain metastases (BM) have long been considered a terminal diagnosis with management mainly aimed at palliation and little hope for extended survival. Use of brain stereotactic radiosurgery (SRS) and/or resection, in addition to novel systemic therapies, has enabled improvements in overall and progression-free (PFS) survival. OBJECTIVE To explore the possibility of extended survival in patients with non-small-cell lung cancer (NSCLC) BM in the current era. METHODS During the years 2008 to 2020, 606 patients with NSCLC underwent their first Gamma Knife SRS for BM at our institution with point-of-care data collection. We reviewed clinical, molecular, imaging, and treatment parameters to explore the relationship of such factors with survival. RESULTS The median overall survival was 17 months (95% CI, 13-40). Predictors of increased survival in a multivariable analysis included age <65 years ( P < .001), KPS ≥80 ( P < .001), absence of extracranial metastases ( P < .001), fewer BM at first SRS (≤3, P = .003), and targeted therapy ( P = .005), whereas chemotherapy alone was associated with shorter survival ( P = .04). In a subgroup of patients managed before 2016 (n = 264), 38 (14%) were long-term survivors (≥5 years), of which 16% required no active cancer treatment (systemic or brain) for ≥3 years by the end of their follow-up. CONCLUSION Long-term survival in patients with brain metastases from NSCLC is feasible in the current era of SRS when combined with the use of effective targeted therapeutics. Of those living ≥5 years, the chance for living with stable disease without the need for active treatment for ≥3 years was 16%.
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Affiliation(s)
- Assaf Berger
- Department of Neurological Surgery, NYU Langone Health Medical Center, New York University, New York, New York, USA
| | - Reed Mullen
- Department of Neurological Surgery, NYU Langone Health Medical Center, New York University, New York, New York, USA
| | - Kenneth Bernstein
- Department of Radiation Oncology, NYU Langone Health Medical Center, New York University, New York, New York, USA
| | - Juan Diego Alzate
- Department of Neurological Surgery, NYU Langone Health Medical Center, New York University, New York, New York, USA
| | - Joshua S Silverman
- Department of Radiation Oncology, NYU Langone Health Medical Center, New York University, New York, New York, USA
| | - Erik P Sulman
- Department of Radiation Oncology, NYU Langone Health Medical Center, New York University, New York, New York, USA
| | - Bernadine R Donahue
- Department of Radiation Oncology, NYU Langone Health Medical Center, New York University, New York, New York, USA
| | - Abraham Chachoua
- Medical Oncology, Perlmutter Cancer Center, NYU Langone Health Medical Center, New York University, New York, New York, USA
| | - Elaine Shum
- Medical Oncology, Perlmutter Cancer Center, NYU Langone Health Medical Center, New York University, New York, New York, USA
| | - Vamsidhar Velcheti
- Medical Oncology, Perlmutter Cancer Center, NYU Langone Health Medical Center, New York University, New York, New York, USA
| | - Joshua Sabari
- Medical Oncology, Perlmutter Cancer Center, NYU Langone Health Medical Center, New York University, New York, New York, USA
| | - John G Golfinos
- Department of Neurological Surgery, NYU Langone Health Medical Center, New York University, New York, New York, USA
| | - Douglas Kondziolka
- Department of Neurological Surgery, NYU Langone Health Medical Center, New York University, New York, New York, USA
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Leu J, Akerman M, Mendez C, Lischalk JW, Carpenter T, Ebling D, Haas JA, Witten M, Barbaro M, Duic P, Tessler L, Repka MC. Time interval from diagnosis to treatment of brain metastases with stereotactic radiosurgery is not associated with radionecrosis or local failure. Front Oncol 2023; 13:1132777. [PMID: 37091181 PMCID: PMC10113671 DOI: 10.3389/fonc.2023.1132777] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 03/07/2023] [Indexed: 04/09/2023] Open
Abstract
IntroductionBrain metastases are the most common intracranial tumor diagnosed in adults. In patients treated with stereotactic radiosurgery, the incidence of post-treatment radionecrosis appears to be rising, which has been attributed to improved patient survival as well as novel systemic treatments. The impacts of concomitant immunotherapy and the interval between diagnosis and treatment on patient outcomes are unclear.MethodsThis single institution, retrospective study consisted of patients who received single or multi-fraction stereotactic radiosurgery for intact brain metastases. Exclusion criteria included neurosurgical resection prior to treatment and treatment of non-malignant histologies or primary central nervous system malignancies. A univariate screen was implemented to determine which factors were associated with radionecrosis. The chi-square test or Fisher’s exact test was used to compare the two groups for categorical variables, and the two-sample t-test or Mann-Whitney test was used for continuous data. Those factors that appeared to be associated with radionecrosis on univariate analyses were included in a multivariable model. Univariable and multivariable Cox proportional hazards models were used to assess potential predictors of time to local failure and time to regional failure.ResultsA total of 107 evaluable patients with a total of 256 individual brain metastases were identified. The majority of metastases were non-small cell lung cancer (58.98%), followed by breast cancer (16.02%). Multivariable analyses demonstrated increased risk of radionecrosis with increasing MRI maximum axial dimension (OR 1.10, p=0.0123) and a history of previous whole brain radiation therapy (OR 3.48, p=0.0243). Receipt of stereotactic radiosurgery with concurrent immunotherapy was associated with a decreased risk of local failure (HR 0.31, p=0.0159). Time interval between diagnostic MRI and first treatment, time interval between CT simulation and first treatment, and concurrent immunotherapy had no impact on incidence of radionecrosis or regional failure.DiscussionAn optimal time interval between diagnosis and treatment for intact brain metastases that minimizes radionecrosis and maximizes local and regional control could not be identified. Concurrent immunotherapy does not appear to increase the risk of radionecrosis and may improve local control. These data further support the safety and synergistic efficacy of stereotactic radiosurgery with concurrent immunotherapy.
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Affiliation(s)
- Justin Leu
- Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, United States
| | - Meredith Akerman
- Division of Health Services Research, New York University (NYU) Long Island School of Medicine, Mineola, NY, United States
| | - Christopher Mendez
- Department of Radiation Oncology, Perlmutter Cancer Center at New York University (NYU) Long Island, Mineola, NY, United States
| | - Jonathan W. Lischalk
- Department of Radiation Oncology, Perlmutter Cancer Center at New York University (NYU) Long Island, Mineola, NY, United States
- NYCyberKnife at Perlmutter Cancer Center – Manhattan, New York, NY, United States
| | - Todd Carpenter
- Department of Radiation Oncology, Perlmutter Cancer Center at New York University (NYU) Long Island, Mineola, NY, United States
| | - David Ebling
- Department of Radiation Oncology, Perlmutter Cancer Center at New York University (NYU) Long Island, Mineola, NY, United States
| | - Jonathan A. Haas
- Department of Radiation Oncology, Perlmutter Cancer Center at New York University (NYU) Long Island, Mineola, NY, United States
- NYCyberKnife at Perlmutter Cancer Center – Manhattan, New York, NY, United States
| | - Matthew Witten
- Department of Medical Physics, Perlmutter Cancer Center at New York University (NYU) Long Island, Mineola, NY, United States
| | - Marissa Barbaro
- Department of Neurology, New York University (NYU) Long Island School of Medicine, Mineola, NY, United States
| | - Paul Duic
- Department of Neurology, New York University (NYU) Long Island School of Medicine, Mineola, NY, United States
| | - Lee Tessler
- Department of Neurosurgery, Perlmutter Cancer Center at New York University (NYU) Long Island, Mineola, NY, United States
| | - Michael C. Repka
- Department of Radiation Oncology, University of North Carolina School of Medicine, Chapel Hill, NC, United States
- *Correspondence: Michael C. Repka,
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Ha LN, Khanh LQ, Hanh NTM, Seo HJ, Son MH. Screening and treatment of brain metastasis from papillary thyroid carcinoma: a case series. Thyroid Res 2023; 16:1. [PMID: 36631835 PMCID: PMC9832656 DOI: 10.1186/s13044-023-00146-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 01/04/2023] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND The brain metastasis from differentiated thyroid carcinoma (DTC) is a rare condition and its prognosis is poor. The standard protocol for screening and treatment of patients with brain metastases from papillary thyroid cancer (PTC) remains controversial. This report aims to share the experience of a single center in the management of brain metastases from DTC. MATERIAL AND METHODS Five patients with brain metastases were identified from 5000 patients with DTC attending the department of nuclear medicine, Hospital 108 between 2016 to 2022. The statistical software Statistical Package for Social Sciences (SPSS) 20.0 (SPSS Inc., Chicago, IL, USA) was used to analyze the data. RESULTS Five patients with brain metastases from DTC were revealed by MRI, 18F-FDG PET/CT with contrast enhancement, and 131I-SPECT/CT. The median time of overall survival (OS) was 15 months, ranging from 10 to 65 months. Two out of the five patients underwent surgery, and futher 2 patients were treated with stereotactic surgery (SRS). All patients are still alive. CONCLUSIONS Brain metastases from DTC are rare. MRI is the preferred imaging mobility to screen brain lesions in DTC. The primary treatment modalities are surgery and SRS.
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Affiliation(s)
- Le Ngoc Ha
- Department of Nuclear Medicine, Hospital 108, Hanoi, Vietnam
| | - Le Quoc Khanh
- Department of Nuclear Medicine, Hospital 108, Hanoi, Vietnam
| | | | - Hyo Jung Seo
- BNCT Center, Dawonmedax, Incheon, Republic of Korea
| | - Mai Hong Son
- Department of Nuclear Medicine, Hospital 108, Hanoi, Vietnam
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Lehrer EJ, Gurewitz J, Bernstein K, Kondziolka D, Fakhoury KR, Rusthoven CG, Niranjan A, Wei Z, Lunsford LD, Malouff TD, Ruiz-Garcia H, Peterson JL, Bonney P, Hwang L, Yu C, Zada G, Deibert CP, Prasad RN, Raval RR, Palmer JD, Patel S, Picozzi P, Franzini A, Attuati L, Mathieu D, Trudel C, Lee CC, Yang HC, Jones BM, Green S, Ahluwalia MS, Sheehan JP, Trifiletti DM. Concurrent Administration of Immune Checkpoint Inhibitors and Stereotactic Radiosurgery Is Well-Tolerated in Patients With Melanoma Brain Metastases: An International Multicenter Study of 203 Patients. Neurosurgery 2022; 91:872-882. [PMID: 36255215 DOI: 10.1227/neu.0000000000002127] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 06/20/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Melanoma brain metastases are commonly treated with stereotactic radiosurgery (SRS) and immune checkpoint inhibitors (ICIs). However, the toxicity of these 2 treatments is largely unknown when administered concurrently. OBJECTIVE To evaluate the risk of radiation necrosis (RN) with concurrent and nonconcurrent SRS and ICIs. METHODS The guidelines from the Strengthening the Reporting of Observational Studies in Epidemiology checklist were used. Inverse probability of treatment weighting, univariable and multivariable logistic regression, and the Kaplan-Meier method was utilized. RESULTS There were 203 patients with 1388 brain metastases across 11 international institutions in 4 countries with a median follow-up of 15.6 months. The rates of symptomatic RN were 9.4% and 8.2% in the concurrent and nonconcurrent groups, respectively ( P =.766). On multivariable logistic regression, V12 ≥ 10 cm 3 (odds ratio [OR]: 2.76; P =.006) and presence of BRAF mutation (OR: 2.20; P =.040) were associated with an increased risk of developing symptomatic RN; the use of concurrent over nonconcurrent therapy was not associated with an increased risk (OR: 1.06; P =.877). There were 20 grade 3 toxic events reported, and no grade 4 events reported. One patient experienced a grade 5 intracranial hemorrhage. The median overall survival was 36.1 and 19.8 months for the concurrent and nonconcurrent groups (log-rank P =.051), respectively. CONCLUSION Concurrent administration of ICIs and SRS are not associated with an increased risk of RN. Tumors harboring BRAF mutation, or perhaps prior exposure to targeted agents, may increase this risk. Radiosurgical optimization to maintain V12 < 10 cm 3 is a potential strategy to reduce the risk of RN.
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Affiliation(s)
- Eric J Lehrer
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Jason Gurewitz
- Department of Radiation Oncology, NYU Langone Medical Center, New York, New York, USA
| | - Kenneth Bernstein
- Department of Radiation Oncology, NYU Langone Medical Center, New York, New York, USA
| | - Douglas Kondziolka
- Department of Neurosurgery, NYU Langone Medical Center, New York, New York, USA
| | - Kareem R Fakhoury
- Department of Radiation Oncology, University of Colorado, Denver, Colorado, USA
| | - Chad G Rusthoven
- Department of Radiation Oncology, University of Colorado, Denver, Colorado, USA
| | - Ajay Niranjan
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Zhishuo Wei
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - L Dade Lunsford
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - Timothy D Malouff
- Department of Radiation Oncology, Mayo Clinic, Jacksonville, Florida, USA
| | - Henry Ruiz-Garcia
- Department of Radiation Oncology, Mayo Clinic, Jacksonville, Florida, USA
| | | | - Phillip Bonney
- Department of Neurosurgery, University of Southern California, Los Angeles, California, USA
| | - Lindsay Hwang
- Department of Radiation Oncology, University of Southern California, Los Angeles, California, USA
| | - Cheng Yu
- Department of Neurosurgery, University of Southern California, Los Angeles, California, USA
| | - Gabriel Zada
- Department of Neurosurgery, University of Southern California, Los Angeles, California, USA
| | | | - Rahul N Prasad
- Department of Radiation Oncology, Ohio State University Wexner Medical Center, Columbus, Ohio, USA
| | - Raju R Raval
- Department of Radiation Oncology, Ohio State University Wexner Medical Center, Columbus, Ohio, USA
| | - Joshua D Palmer
- Department of Radiation Oncology, Ohio State University Wexner Medical Center, Columbus, Ohio, USA
| | - Samir Patel
- Division of Radiation Oncology, Department of Oncology, University of Alberta, Edmonton, Alberta, Canada
| | - Piero Picozzi
- Department of Neurosurgery, IRCCS Humanitas Research Hospital, Rozzano-Milan, Italy
| | - Andrea Franzini
- Department of Neurosurgery, IRCCS Humanitas Research Hospital, Rozzano-Milan, Italy
| | - Luca Attuati
- Department of Neurosurgery, IRCCS Humanitas Research Hospital, Rozzano-Milan, Italy
| | - David Mathieu
- Department of Neurosurgery, Université de Sherbrooke, Centre de recherche du CHUS, Quebec, Canada
| | - Claire Trudel
- Department of Medicine, Université de Sherbrooke, Centre de recherche du CHUS, Quebec, Canada
| | - Cheng-Chia Lee
- Department of Neurosurgery, Neurological Institute, Taipei Veteran General Hospital, Taiwan
| | - Huai-Che Yang
- Department of Neurosurgery, Neurological Institute, Taipei Veteran General Hospital, Taiwan
| | - Brianna M Jones
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Sheryl Green
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | | | - Jason P Sheehan
- Department of Neurological Surgery, University of Virginia, Charlottesville, Virginia, USA
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Grishchuk D, Dimitriadis A, Sahgal A, De Salles A, Fariselli L, Kotecha R, Levivier M, Ma L, Pollock BE, Regis J, Sheehan J, Suh J, Yomo S, Paddick I. ISRS Technical Guidelines for Stereotactic Radiosurgery: Treatment of Small Brain Metastases (≤1 cm in Diameter). Pract Radiat Oncol 2022; 13:183-194. [PMID: 36435388 DOI: 10.1016/j.prro.2022.10.013] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 10/10/2022] [Accepted: 10/12/2022] [Indexed: 11/25/2022]
Abstract
PURPOSE The objective of this literature review was to develop International Stereotactic Radiosurgery Society (ISRS) consensus technical guidelines for the treatment of small, ≤1 cm in maximal diameter, intracranial metastases with stereotactic radiosurgery. Although different stereotactic radiosurgery technologies are available, most of them have similar treatment workflows and common technical challenges that are described. METHODS AND MATERIALS A systematic review of the literature published between 2009 and 2020 was performed in Pubmed using the Preferred Reporting Items for Systematic Review and Meta-analyses (PRISMA) methodology. The search terms were limited to those related to radiosurgery of brain metastases and to publications in the English language. RESULTS From 484 collected abstract 37 articles were included into the detailed review and bibliographic analysis. An additional 44 papers were identified as relevant from a search of the references. The 81 papers, including additional 7 international guidelines, were deemed relevant to at least one of five areas that were considered paramount for this report. These areas of technical focus have been employed to structure these guidelines: imaging specifications, target volume delineation and localization practices, use of margins, treatment planning techniques, and patient positioning. CONCLUSION This systematic review has demonstrated that Stereotactic Radiosurgery (SRS) for small (1 cm) brain metastases can be safely performed on both Gamma Knife (GK) and CyberKnife (CK) as well as on modern LINACs, specifically tailored for radiosurgical procedures, However, considerable expertise and resources are required for a program based on the latest evidence for best practice.
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Affiliation(s)
- Diana Grishchuk
- National Hospital for Neurology and Neurosurgery, London, United Kingdom.
| | - Alexis Dimitriadis
- National Hospital for Neurology and Neurosurgery, London, United Kingdom
| | - Arjun Sahgal
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Ontario, Canada
| | - Antonio De Salles
- Department of Neurosurgery, University of California, Los Angeles, California
| | - Laura Fariselli
- Radiotherapy Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta Milano, Unita di Radiotherapia, Milan, Italy
| | - Rupesh Kotecha
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, Florida
| | - Marc Levivier
- Neurosurgery Service and Gamma Knife Center, Center Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Lijun Ma
- Department of Radiation Oncology, University of California San Francisco, San Francisco, California
| | - Bruce E Pollock
- Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota
| | - Jean Regis
- Department of Functional Neurosurgery, La Timone Hospital, Aix-Marseille University, Marseille, France
| | - Jason Sheehan
- Department of Neurologic Surgery, University of Virginia, Charlottesville, Virginia
| | - John Suh
- Department of Radiation Oncology, Cleveland Clinic, Cleveland, Ohio
| | - Shoji Yomo
- Division of Radiation Oncology, Aizawa Comprehensive Cancer Center, Aizawa Hospital, Matsumoto, Japan
| | - Ian Paddick
- National Hospital for Neurology and Neurosurgery, London, United Kingdom
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Li Z, Liang N, Wang N, Jia Y, Tian C. WDR5 is a prognostic biomarker of brain metastasis from non-small cell lung cancer. Front Oncol 2022; 12:1023776. [PMID: 36249032 PMCID: PMC9557102 DOI: 10.3389/fonc.2022.1023776] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2022] [Accepted: 09/13/2022] [Indexed: 12/09/2022] Open
Abstract
Background Lung cancer (LC) is the most frequent caner type and causes the most cancer-related death. Brain metastases (BM) are the deadliest complications of lung cancer, and the prognostic biomarkers of BM are urgently needed. Materials and methods In our study, we established an inception cohort including 122 patients with asynchronous BM from NSCLC, and further selected 70 patients who received surgical resection, which compromised the validation cohort. With immunohistochemistry, we investigated the expression of WDR5 in the cohort. By chi-square method, the correlations between WDR5 and clinicopathological factors were analyzed. The prognostic indicators were analyzed with the univariate analysis, and independent prognostic factors were identified by multivariate analysis with Cox-regression model. Results WDR5 is frequently expressed in the cytoplasm of BM from NSCLC. Patients with low or high expression of WDR5 account for 60% and 40% respectively. High expression of WDR5 indicates poor prognosis of BM from NSCLC (P=0.001). In addition to WDR5, KPS is also a prognostic factor of BM, and high KPS predicts favorable prognosis (P=0.006). WDR5 is an independent prognostic biomarker for poor prognosis of BM from NSCLC, with the cancer-related odds as 2.48. Conclusions High expression of WDR5 can predict the poor prognosis of BM, and WDR5 is an independent prognostic biomarker of BM from NSCLC. Patients with WDR5 overexpression are more high-risk to suffer BM-related death and should receive more intense post-operational supervision.
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Affiliation(s)
- Zheng Li
- Department of Neurosurgery, The Second Affiliated Hospital of Shandong First Medical University, Tai’an, China
| | - Nan Liang
- Department of Neurosurgery, The Second Affiliated Hospital of Shandong First Medical University, Tai’an, China
| | - Na Wang
- Department of Anesthesiology, The First People’s Hospital of Tai’an, Tai’an, China
| | - Yan Jia
- Department of Intensive Care Unit, Shandong Provincial Tai’shan Hospital, Tai’an, China
| | - Cui Tian
- Department of Intensive Care Unit, The Second Affiliated Hospital of Shandong First Medical University, Tai’an, China
- *Correspondence: Cui Tian,
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Wei AZ, Uriel M, Porcu A, Manos MP, Mercurio AC, Caplan MM, Hulse L, Seedor RS, Holovatska M, Francis J, Khan SA, McDonnell DE, Bogomolny D, Sato T, Marr BP, Haq R, Orloff M, Shoushtari A, Carvajal RD. Characterizing metastatic uveal melanoma patients who develop symptomatic brain metastases. Front Oncol 2022; 12:961517. [PMID: 36212499 PMCID: PMC9540230 DOI: 10.3389/fonc.2022.961517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2022] [Accepted: 08/05/2022] [Indexed: 11/13/2022] Open
Abstract
Metastatic uveal melanoma (mUM) is an advanced ocular malignancy characterized by a hepatotropic pattern of spread. As the incidence of brain metastases (BM) in mUM patients has been thought to be low, routine CNS surveillance has not been recommended. Notably, no formal assessment of BM incidence in mUM has to date been published to support this clinical practice. We aimed to determine the true rate of BM in mUM and to clarify the clinical and genomic risk factors associated with BM patients through a collaborative multicenter, retrospective research effort. Data collected from 1,845 mUM patients in databases across four NCI-designated comprehensive cancer centers from 2006-2021 were retrospectively analyzed to identify patients with BM. Brain imaging in most cases were performed due to onset of neurological symptoms and not for routine surveillance. An analysis of demographics, therapies, gene expression profile, tumor next generation sequencing (NGS) data, time to metastasis (brain or other), and survival in the BM cohort was completed. 116/1,845 (6.3%) mUM patients were identified with BM. The median age at time of UM diagnosis was 54 years old (range: 18-77). The median time to any metastasis was 4.2 years (range: 0-30.8). The most common initial metastatic site was the liver (75.9%). 15/116 (12.9%) BM patients presented with BM at the time of initial metastatic diagnosis. Median survival after a diagnosis of BM was 7.6 months (range: 0.4-73.9). The median number of organs involved at time of BM diagnosis was 3 (range: 1-9). DecisionDX-UM profiling was completed on 13 patients: 10-Class 2, 2-Class 1B, and 1-Class 1A. NGS and cytogenetic data were available for 34 and 21 patients, respectively. BM was identified in 6.3% of mUM cases and was associated with high disease burden and a median survival of under 8 months once diagnosed. Since most patients in this cohort were symptomatic, the incidence of asymptomatic BM remains unknown. These data suggest the use of routine brain imaging in all mUM patients at risk for developing BM for early detection.
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Affiliation(s)
- Alexander Z. Wei
- Division of Hematology & Oncology Columbia University Irving Medical Center, New York, NY, United States
| | - Matan Uriel
- Division of Hematology & Oncology Columbia University Irving Medical Center, New York, NY, United States
| | - Agata Porcu
- Department of Medical Oncology Thomas Jefferson University Hospitals, Philadelphia, PA, United States
| | | | - Ann C. Mercurio
- Division of Hematology & Oncology Columbia University Irving Medical Center, New York, NY, United States
| | - Michael M. Caplan
- Division of Hematology & Oncology Columbia University Irving Medical Center, New York, NY, United States
| | - Liam Hulse
- Department of Medical Oncology Thomas Jefferson University Hospitals, Philadelphia, PA, United States
| | - Rino S. Seedor
- Department of Medical Oncology Thomas Jefferson University Hospitals, Philadelphia, PA, United States
| | | | - Jasmine Francis
- Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Shaheer A. Khan
- Division of Hematology & Oncology Columbia University Irving Medical Center, New York, NY, United States
| | - Diana E. McDonnell
- Division of Hematology & Oncology Columbia University Irving Medical Center, New York, NY, United States
| | - Dmitry Bogomolny
- Division of Hematology & Oncology Columbia University Irving Medical Center, New York, NY, United States
| | - Takami Sato
- Department of Medical Oncology Thomas Jefferson University Hospitals, Philadelphia, PA, United States
| | - Brian P. Marr
- Division of Hematology & Oncology Columbia University Irving Medical Center, New York, NY, United States
| | - Rizwan Haq
- Dana-Farber Cancer Institute, Boston, MA, United States
| | - Marlana Orloff
- Department of Medical Oncology Thomas Jefferson University Hospitals, Philadelphia, PA, United States
| | | | - Richard D. Carvajal
- Division of Hematology & Oncology Columbia University Irving Medical Center, New York, NY, United States
- *Correspondence: Richard D. Carvajal,
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Flattening filter free Stereotactic radiosurgery for brain metastases using dynamic conformal arcs: 6 MV or 10 MV? JOURNAL OF RADIOTHERAPY IN PRACTICE 2022. [DOI: 10.1017/s1460396920001247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
AbstractIntroduction:Stereotactic radiosurgery (SRS) has proven itself as an effective tool in the treatment of intracranial lesions. Image-guided high dose single fraction treatments have the potential to deliver ablative doses to tumours; however, treatment times can be long. Flattening filter free (FFF) beams are available on most modern linacs and offer a higher dose rate compared to conventional flattened beams which should reduce treatment times. This study aimed to compare 6 MV FFF and 10 MV FFF to a 6 MV flattened beam for single fraction dynamic conformal arc SRS for a Varian Truebeam linac.Materials and methods:In total, 21 individual clinical treatment plans for 21 brain metastases treated with 6 MV were retrospectively replanned using both 6 MV FFF and 10 MV FFF. Plan quality and efficiency metrics were evaluated by analysing dose coverage, dose conformity, dose gradients, dose to normal brain, beam-on-time (BOT), treatment time and monitor units.Results:FFF resulted in a significant reduction in median BOT for both 6 MV FFF (57·9%; p < 0·001) and 10 MV FFF (76·3%; p < 0·001) which led to reductions in treatment times of 16·8 and 21·5% respectively. However, 6 MV FFF showed superior normal brain dose sparing (p < 0·001) and dose gradient (p < 0·001) compared to 10 MV FFF. No differences were observed for conformity.Conclusion:6 MV FFF offers a significant reduction in average treatment time compared to 6 MV (3·7 minutes; p = 0·002) while maintaining plan quality.
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Secchi V, Monguzzi A, Villa I. Design Principles of Hybrid Nanomaterials for Radiotherapy Enhanced by Photodynamic Therapy. Int J Mol Sci 2022; 23:8736. [PMID: 35955867 PMCID: PMC9369190 DOI: 10.3390/ijms23158736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 07/28/2022] [Accepted: 08/03/2022] [Indexed: 11/24/2022] Open
Abstract
Radiation (RT) remains the most frequently used treatment against cancer. The main limitation of RT is its lack of specificity for cancer tissues and the limited maximum radiation dose that can be safely delivered without damaging the surrounding healthy tissues. A step forward in the development of better RT is achieved by coupling it with other treatments, such as photodynamic therapy (PDT). PDT is an anti-cancer therapy that relies on the light activation of non-toxic molecules-called photosensitizers-to generate ROS such as singlet oxygen. By conjugating photosensitizers to dense nanoscintillators in hybrid architectures, the PDT could be activated during RT, leading to cell death through an additional pathway with respect to the one activated by RT alone. Therefore, combining RT and PDT can lead to a synergistic enhancement of the overall efficacy of RT. However, the involvement of hybrids in combination with ionizing radiation is not trivial: the comprehension of the relationship among RT, scintillation emission of the nanoscintillator, and therapeutic effects of the locally excited photosensitizers is desirable to optimize the design of the hybrid nanoparticles for improved effects in radio-oncology. Here, we discuss the working principles of the PDT-activated RT methods, pointing out the guidelines for the development of effective coadjutants to be tested in clinics.
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Affiliation(s)
- Valeria Secchi
- Department of Materials Science, University of Milano-Bicocca, Via R. Cozzi 55, 20125 Milan, Italy
- NANOMIB, Center for Biomedical Nanomedicine, University of Milano-Bicocca, P.zza Ateneo Nuovo 1, 20126 Milan, Italy
| | - Angelo Monguzzi
- Department of Materials Science, University of Milano-Bicocca, Via R. Cozzi 55, 20125 Milan, Italy
- NANOMIB, Center for Biomedical Nanomedicine, University of Milano-Bicocca, P.zza Ateneo Nuovo 1, 20126 Milan, Italy
| | - Irene Villa
- Institute of Physics of the Czech Academy of Sciences, FZU, Cukrovarnická 10/112, 16200 Prague, Czech Republic
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Fractionated Gamma Knife radiosurgery after cyst aspiration for large cystic brain metastases: case series and literature review. Neurosurg Rev 2022; 45:3457-3465. [PMID: 35834076 DOI: 10.1007/s10143-022-01835-y] [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: 03/29/2022] [Revised: 06/27/2022] [Accepted: 07/09/2022] [Indexed: 10/17/2022]
Abstract
Tumor cyst aspiration followed by Gamma Knife radiosurgery (GKRS) for large cystic brain metastases is a reasonable and effective management strategy. However, even with aspiration, the target lesion tends to exceed the dimensions of an ideal target for stereotactic radiosurgery. In this case, the local tumor control rate and the risk of complication might be a critical challenge. This study is aimed to investigate whether fractionated GKRS (f-GKRS) could solve these problems. Between May 2018 and April 2021, eight consecutive patients with nine lesions were treated with f-GKRS in five or ten sessions after cyst aspiration. The aspiration was repeated as needed throughout the treatment course to maintain the cyst size and shape. The patient characteristics, radiologic tumor response, and clinical course were reviewed using medical records. The mean follow-up duration was 10.2 (2-28) months. The mean pre-GKRS volume and maximum diameter were 16.7 (5-55.8) mL and 39.0 (31-79) mm, respectively. The mean tumor volume reduction achieved by aspiration was 55.4%. The tumor volume decreased for all lesions, and symptoms were alleviated in all patients. The median overall survival was 10.0 months, and the estimated 1-year survival rate was 41.7% (95% CI: 10.9-70.8%). The local tumor control rate was 100%. No irradiation-related adverse events were observed. f-GKRS for aspirated cystic brain metastasis is a safe, effective, and less invasive management option for large cystic brain metastases.
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Wei Z, Waite K, Deng H, Najjar Y, Niranjan A, Lunsford LD. Aggressive Stereotactic Radiosurgery Coupled With Immune and Targeted Therapy for Recurrent Melanoma Brain Metastases: A Case Report and Literature Review. Cureus 2022; 14:e26553. [PMID: 35936134 PMCID: PMC9348438 DOI: 10.7759/cureus.26553] [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] [Accepted: 07/04/2022] [Indexed: 11/24/2022] Open
Abstract
Melanoma is a complex disease with a high propensity for brain metastatic spread. Stereotactic radiosurgery (SRS) is a minimally invasive procedure to treat intracranial metastasis with a high rate of local tumor control. In this report, we describe the ongoing management of a patient with interval development of both new and recurrent brain metastases that required seven SRS procedures for a total of 48 brain metastases during a two-year interval while receiving concurrent immunotherapy with ipilimumab and nivolumab. The most recent imaging of the patient showed three brain areas of likely tumor progression despite maintenance nivolumab, and the treatment was recently changed to encorafenib and binimetinib. Combined management with immunotherapy, initial craniotomy, and repeated SRS for new brain metastases resulted in extended survival while preserving neurological function and reducing adverse treatment effects in a patient with advanced metastatic brain melanoma.
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Impact of socio-economic factors on radiation treatment after resection of metastatic brain tumors: trends from a private insurance database. J Neurooncol 2022; 158:445-451. [PMID: 35596873 DOI: 10.1007/s11060-022-04031-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2022] [Accepted: 05/06/2022] [Indexed: 11/27/2022]
Abstract
BACKGROUND Stereotactic radiosurgery (SRS) to the surgical bed of resected brain metastases is now considered the standard of care due to its advantages over whole brain radiation therapy (WBRT). Despite the upward trend in SRS adoption since the 2000s, disparities have been reported suggesting that socio-economic factors can influence SRS utilization. OBJECTIVE To analyze recent trends in SRS use and identify factors that influence treatment. METHODS We conducted a retrospective cohort study with the Optum Commercial Claims and Encounters Database and included all patients from 2004 to 2021 who received SRS or WBRT within 60 days after resection of tumors metastatic to the brain. RESULTS A total of 3495 patients met the inclusion and exclusion criteria. There were 1998 patients in the SRS group and 1497 patients in the WBRT group. SRS use now supersedes WBRT by a wide margin. Lung, breast and colon were the most common sites of primary tumor. Although we found no significant differences based on race among the treatment groups, patients with annual household income greater than $75,000 and those with some college or higher education are significantly more likely to receive SRS (OR 1.44 and 1.30; 95% CI 1.18-1.76 and 1.08-1.56; P = 0.001 and 0.005, respective). Patients with Elixhauser Comorbidity Index of three or more were significantly more likely to receive SRS treatment. CONCLUSION The use of post-surgical SRS for brain metastasis has increased significantly over time, however education and income were associated with differential SRS utilization.
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Kikuchi Y, Togao O, Kikuchi K, Momosaka D, Obara M, Van Cauteren M, Fischer A, Ishigami K, Hiwatashi A. A deep convolutional neural network-based automatic detection of brain metastases with and without blood vessel suppression. Eur Radiol 2022; 32:2998-3005. [PMID: 34993572 DOI: 10.1007/s00330-021-08427-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2021] [Revised: 10/12/2021] [Accepted: 10/18/2021] [Indexed: 11/26/2022]
Abstract
OBJECTIVES To develop an automated model to detect brain metastases using a convolutional neural network (CNN) and volume isotropic simultaneous interleaved bright-blood and black-blood examination (VISIBLE) and to compare its diagnostic performance with the observer test. METHODS This retrospective study included patients with clinical suspicion of brain metastases imaged with VISIBLE from March 2016 to July 2019 to create a model. Images with and without blood vessel suppression were used for training an existing CNN (DeepMedic). Diagnostic performance was evaluated using sensitivity and false-positive results per case (FPs/case). We compared the diagnostic performance of the CNN model with that of the twelve radiologists. RESULTS Fifty patients (30 males and 20 females; age range 29-86 years; mean 63.3 ± 12.8 years; a total of 165 metastases) who were clinically diagnosed with brain metastasis on follow-up were used for the training. The sensitivity of our model was 91.7%, which was higher than that of the observer test (mean ± standard deviation; 88.7 ± 3.7%). The number of FPs/case in our model was 1.5, which was greater than that by the observer test (0.17 ± 0.09). CONCLUSIONS Compared to radiologists, our model created by VISIBLE and CNN to diagnose brain metastases showed higher sensitivity. The number of FPs/case by our model was greater than that by the observer test of radiologists; however, it was less than that in most of the previous studies with deep learning. KEY POINTS • Our convolutional neural network based on bright-blood and black-blood examination to diagnose brain metastases showed a higher sensitivity than that by the observer test. • The number of false-positives/case by our model was greater than that by the previous observer test; however, it was less than those from most previous studies. • In our model, false-positives were found in the vessels, choroid plexus, and image noise or unknown causes.
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Affiliation(s)
- Yoshitomo Kikuchi
- Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan
| | - Osamu Togao
- Department of Molecular Imaging and Diagnosis, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Kazufumi Kikuchi
- Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan
| | - Daichi Momosaka
- Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan
| | - Makoto Obara
- MR Clinical Science, Philips Japan Ltd, Tokyo, Japan
| | | | | | - Kousei Ishigami
- Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan
| | - Akio Hiwatashi
- Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.
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Cho A, Medvedeva K, Kranawetter B, Untersteiner H, Hirschmann D, Lepilina O, Baulin A, Buschmann M, Ertl A, Marik W, Dorfer C, Rössler K, Gatterbauer B, Ilyalov S, Frischer JM. How to dose-stage large or high-risk brain metastases: an alternative two-fraction radiosurgical treatment approach. J Neurosurg 2022; 137:1666-1675. [DOI: 10.3171/2022.2.jns212440] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 02/14/2022] [Indexed: 01/18/2023]
Abstract
OBJECTIVE
The authors sought to evaluate clinical outcome in patients with large, high-risk brain metastases (BMs) treated with different dose strategies by use of two-fraction dose-staged Gamma Knife radiosurgery (GKRS).
METHODS
A retrospective analysis was performed with data from 142 patients from two centers who had been treated with two-fraction dose-staged GKRS between June 2015 and January 2020. Depending on the changes in marginal dose between the first (GKRS1) and second (GKRS2) GKRS treatments, the study population was divided into three treatment groups: dose escalation, dose maintenance, and dose de-escalation.
RESULTS
The 142 study patients underwent two-fraction dose-staged GKRS treatments for 166 large, high-risk BMs. The median tumor volume of 7.4 cm3 decreased significantly from GKRS1 to GKRS2 (4.4 cm3; p < 0.001), and to the last follow-up (1.8 cm3; p < 0.001). These significant differences in BM volume reduction were achieved in all three treatment groups. However, differences according to the primary tumor histology were apparent: while dose maintenance seemed to be the most effective treatment strategy for BMs from lung cancer or melanoma, dose escalation was the most beneficial treatment option for BMs from breast, gastrointestinal, or genitourinary cancer. Of note, the vast majority of patients who underwent dose-staged BM treatment did not show any significant postradiosurgical complications.
CONCLUSIONS
In patients with large, high-risk BMs, dose-staged GKRS treatment represents an effective local treatment method with acceptable complication risks. Different dose-strategy options are available that may be chosen according to the primary tumor histology and treatment volume but may also be tailored to the findings at GKRS2.
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Affiliation(s)
- Anna Cho
- Department of Neurosurgery, Medical University of Vienna, Austria
| | | | | | | | | | | | | | - Martin Buschmann
- Department of Neurosurgery, Medical University of Vienna, Austria
- Department of Radiation Oncology, Medical University of Vienna; and
| | - Adolf Ertl
- Department of Neurosurgery, Medical University of Vienna, Austria
| | - Wolfgang Marik
- Department of Biomedical Imaging and Image-guided Therapy, Division of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna, Austria
| | - Christian Dorfer
- Department of Neurosurgery, Medical University of Vienna, Austria
| | - Karl Rössler
- Department of Neurosurgery, Medical University of Vienna, Austria
| | | | | | - Josa M. Frischer
- Department of Neurosurgery, Medical University of Vienna, Austria
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Kim JH, Choi JW, Kong DS, Seol HJ, Nam DH, Ryu JW, Kim ST, Suh YL, Lee JI. Histopathology and surgical outcome of symptomatic treatment-related changes after gamma knife radiosurgery in patients with brain metastases. Sci Rep 2022; 12:3013. [PMID: 35194082 PMCID: PMC8863779 DOI: 10.1038/s41598-022-06881-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Accepted: 02/07/2022] [Indexed: 01/07/2023] Open
Abstract
A late-onset treatment-related changes (TRCs), which represent radiographic radiation necrosis (RN), frequently occur after stereotactic radiosurgery (SRS) for brain metastases and often need surgical treatment. This study aimed to validate the true pathology and investigate clinical implication of surgically resected TRCs on advanced magnetic resonance imaging (MRI). Retrospective analyses of 86 patients who underwent surgical resection after radiosurgery of brain metastases were performed. Fifty-four patients displayed TRCs on preoperative MRI, comprising pure RN in 19 patients (TRC-RN group) and mixed viable tumor cells in 35 patients (TRC-PD group). Thirty-two patients revealed the consistent diagnosis of progressive disease in both MRI and histopathology (PD-PD group). The TRC-PD group showed larger prescription isodose volume (9.4 cm3) than the TRC-RN (4.06 cm3, p = 0.014) group and a shorter time interval from SRS to preoperative MRI diagnosis (median 4.07 months) than the PD-PD group (median 8.77 months, p = 0.004). Progression-free survival was significantly different among the three groups (p < 0.001), but not between TRC-RN and TRC-PD (post hoc test, p = 1.00), while no difference was observed in overall survival (p = 0.067). Brain metastases featured as TRCs after SRS frequently contained viable tumor cells. However, this histologic heterogeneity had a minor impact on benign local prognosis of TRCs after surgical resection.
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Affiliation(s)
- Jeong-Hwa Kim
- Department of Neurosurgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, South Korea
| | - Jung-Won Choi
- Department of Neurosurgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, South Korea
| | - Doo-Sik Kong
- Department of Neurosurgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, South Korea
| | - Ho Jun Seol
- Department of Neurosurgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, South Korea
| | - Do-Hyun Nam
- Department of Neurosurgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, South Korea
| | - Jae-Wook Ryu
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Sung-Tae Kim
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Yeon-Lim Suh
- Department of Pathology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Jung-Il Lee
- Department of Neurosurgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, South Korea.
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Ghaderi N, Jung J, Brüningk SC, Subramanian A, Nassour L, Peacock J. A Century of Fractionated Radiotherapy: How Mathematical Oncology Can Break the Rules. Int J Mol Sci 2022; 23:ijms23031316. [PMID: 35163240 PMCID: PMC8836217 DOI: 10.3390/ijms23031316] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 01/17/2022] [Accepted: 01/18/2022] [Indexed: 02/07/2023] Open
Abstract
Radiotherapy is involved in 50% of all cancer treatments and 40% of cancer cures. Most of these treatments are delivered in fractions of equal doses of radiation (Fractional Equivalent Dosing (FED)) in days to weeks. This treatment paradigm has remained unchanged in the past century and does not account for the development of radioresistance during treatment. Even if under-optimized, deviating from a century of successful therapy delivered in FED can be difficult. One way of exploring the infinite space of fraction size and scheduling to identify optimal fractionation schedules is through mathematical oncology simulations that allow for in silico evaluation. This review article explores the evidence that current fractionation promotes the development of radioresistance, summarizes mathematical solutions to account for radioresistance, both in the curative and non-curative setting, and reviews current clinical data investigating non-FED fractionated radiotherapy.
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Affiliation(s)
- Nima Ghaderi
- Department of Biomedical Engineering, University of Minnesota Twin Cities, Minneapolis, MN 55455, USA; (N.G.); (J.J.)
| | - Joseph Jung
- Department of Biomedical Engineering, University of Minnesota Twin Cities, Minneapolis, MN 55455, USA; (N.G.); (J.J.)
| | - Sarah C. Brüningk
- Machine Learning & Computational Biology Lab, Department of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland;
- Swiss Institute for Bioinformatics (SIB), 1015 Lausanne, Switzerland
| | - Ajay Subramanian
- Department of Radiation Oncology, Stanford University, Stanford, CA 94305, USA;
| | - Lauren Nassour
- Department of Radiation Oncology, University of Alabama Birmingham, Birmingham, AL 35205, USA;
| | - Jeffrey Peacock
- Department of Radiation Oncology, University of Alabama Birmingham, Birmingham, AL 35205, USA;
- Correspondence:
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Gupta S, Singh S, Chophy A, Nair S, Ahuja R, Kusum K, Joseph D, Arora R, Gupta A, Gupta M. Analysis of prognostic factors in patients with brain metastases affecting survival. J Egypt Natl Canc Inst 2022; 34:45. [PMID: 36316594 PMCID: PMC9628477 DOI: 10.1186/s43046-022-00146-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Accepted: 08/11/2022] [Indexed: 11/07/2022] Open
Abstract
INTRODUCTION Brain metastases (BM) are associated with dismal prognosis as they cause significant morbidity and affect the quality of life of patients. Management of BM depends on the following factors: age, patient performance, size and the number of lesions, location of the tumor, comorbidities, primary tumor type, and extracranial disease burden. In the present study, the pattern of occurrence, clinical characteristics, treatment outcome of brain metastases, and factors, tumor characteristics, and treatment that may impact BM patients' overall survival were analyzed. METHODS Retrospective analysis of medical records of 116 patients with histologically proven primary site solid tumors with brain metastases was done in the present study. Clinicoradiological and pathological parameters were documented. The relationship between variables and outcome was assessed by univariate analysis using the Cox proportional regression model to reach a significance of p < 0.05, to determine independent predictors of overall survival. RESULTS One hundred sixteen patients of BM from various solid malignancies were included. Age ranged from 18 to 81 years (median 53.5). One hundred four patients received WBRT with a dose range of 8-40Gy/1-15fr, 7 received SRS with a dose of 18-24Gy depending on the size of the metastatic lesion, and 2 received SRT 27-33Gy/3fr. At the time of final analysis, 47 patients with BM had expired, 60 were lost to follow-up, and 9 were alive. Median survival was 8.25 (0.5-32.5 months) months. Female gender (χ2 = 8.423; p = 0.015), RPA I (χ2 = 9.353; p = 0.05), and metachronous BM (χ2 = 3.793; p = 0.03) were associated with better survival. Patients with age 41-50 years, adenocarcinoma lung histology, and supratentorial location survived more than 2 years but did not show any statistical significance. CONCLUSION Brain metastases portend a very dismal prognosis. Certain clinicoradiological and pathologic factors have been identified to affect survival. More prospective multicentric trials, with a larger sample size, need to be conducted to assess the benefit of radiation in patients with limited life expectancy and identify prognostic and predictive factors for survival.
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Affiliation(s)
- Sweety Gupta
- Department of Radiation Oncology, AIIMS Rishikesh, Rishikesh, India
| | - Sumit Singh
- Department of Radiation Oncology, AIIMS Rishikesh, Rishikesh, India
| | - Atokali Chophy
- Department of Radiation Oncology, AIIMS Rishikesh, Rishikesh, India
| | - Sharanya Nair
- Department of Radiation Oncology, AIIMS Rishikesh, Rishikesh, India
| | - Rachit Ahuja
- Department of Radiation Oncology, AIIMS Rishikesh, Rishikesh, India
| | - K. Kusum
- College of Nursing, AIIMS Rishikesh, Rishikesh, India
| | - Deepa Joseph
- Department of Radiation Oncology, AIIMS Rishikesh, Rishikesh, India
| | - Rajnish Arora
- Department of Neurosurgery, AIIMS Rishikesh, Rishikesh, India
| | - Amit Gupta
- Department of Surgery, AIIMS Rishikesh, Rishikesh, India
| | - Manoj Gupta
- Department of Radiation Oncology, AIIMS Rishikesh, Rishikesh, India
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Role of the Neuroradiologist and Neurosurgeon in Contouring with the Clinical Oncologist for Stereotactic Radiosurgery. Clin Oncol (R Coll Radiol) 2022; 34:398-406. [DOI: 10.1016/j.clon.2022.01.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Accepted: 01/04/2022] [Indexed: 11/24/2022]
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Khan M, Zhao Z, Li X, Liao G. Anti-PD1 Therapy Plus Whole-Brain Radiation Therapy May Prolong PFS in Selected Non-Small Cell Lung Cancer Patients with Brain Metastases: A Retrospective Study. Int J Gen Med 2021; 14:8903-8918. [PMID: 34858054 PMCID: PMC8631977 DOI: 10.2147/ijgm.s333890] [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] [Received: 08/12/2021] [Accepted: 10/06/2021] [Indexed: 12/17/2022] Open
Abstract
Background Whole-brain radiotherapy (WBRT) remains an essential modality of treatment for brain metastases (BMs) derived from non-small cell lung cancer (NSCLC) patients and anti-PD-1 therapy has demonstrated intracranial responses in these patients. We aimed to evaluate if the combination of the two treatments could yield additive efficacy. Methods A retrospective review of our institution’s database was carried out to identify NSCLC patients with BMs who had been treated with anti-PD1 therapy and/or WBRT between 2015 and 2020. Patient characteristics, main outcomes, including progression-free survival (PFS) and overall survival (OS), and factors affecting these outcomes were analyzed. SPSS 24 was used for statistical analysis. Appropriate statistical tests were employed according to the type of data. Results Overall, 21 NSCLC BM patients were identified that had received WBRT. Of these, ten had been additionally treated with anti-PD1 therapy within 30 days of WBRT initiation. Median PFS was 3 (95% CI 0.8–5.1) months with WBRT alone versus 11 (95% CI 6.3–15.6) months with combined treatment. Risk of disease progression was 71% lower with the combined approach (HR 0.29, 95% CI 0.11–0.80; p=0.016). A trend toward improved OS was also observed with the combined approach (HR 0.33, 95% CI 0.08–1.12; p=0.107). Concurrent treatment (p=0.028) and male sex (p=0.052) were associated with improved PFS, while OS was associated only with age (p=0.02). Conclusion Concurrent WBRT and anti-PD1 therapy may delay progression and improve survival in BM patients with confirmed EGFR- and ALK-negative NSCLC histology. Prospective studies are warranted to validate and elucidate on the additive effect of the two modalities.
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Affiliation(s)
- Muhammad Khan
- Department of Oncology, Shenzhen People's Hospital, First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, People's Republic of China.,Department of Oncology, First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, People's Republic of China
| | - Zhihong Zhao
- Department of Nephrology, Shenzhen People's Hospital, Second Clinical Medicine Centre, Jinan University, Shenzhen, People's Republic of China
| | - Xianming Li
- Department of Oncology, Shenzhen People's Hospital, First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, People's Republic of China
| | - Guixiang Liao
- Department of Oncology, Shenzhen People's Hospital, First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, People's Republic of China
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