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Guadix SW, Pandey A, Gundlach C, Walsh M, Moss NS, Souweidane MM. Laser interstitial thermal therapy as a radiation-sparing approach for central nervous system tumors in children with cancer predisposition syndromes: report of a child with Li-Fraumeni syndrome. Illustrative case. JOURNAL OF NEUROSURGERY. CASE LESSONS 2024; 7:CASE23595. [PMID: 38315990 PMCID: PMC10849145 DOI: 10.3171/case23595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Accepted: 01/03/2024] [Indexed: 02/07/2024]
Abstract
BACKGROUND Ionizing radiation and alkylating chemotherapies increase secondary malignancy risk in patients with cancer predisposition syndromes (CPSs), such as Li-Fraumeni syndrome. Laser interstitial thermal therapy (LITT) is a minimally invasive ablation technique that has not been associated with mutagenic risks. We describe the case of a child with LFS and a history of treated choroid plexus carcinoma (CPC) who developed a second primary glial tumor that was safely treated with magnetic resonance imaging (MRI)-guided LITT. OBSERVATIONS A 4-year-old male with left parietal World Health Organization grade III CPC associated with a TP53 germline mutation was evaluated. The patient underwent neoadjuvant platinum-based chemotherapy before near-total resection, followed by 131I-8H9 immunotherapy and 30 fractions of 54-Gy proton radiotherapy. He remained without evidence of disease for 2 years before developing a slow-growing mass adjacent to the left frontal ventricular horn. Stereotactic biopsy revealed a glial neoplasm. Given the nonsuperficial location and focality of the lesion, MRI-guided LITT was performed for ablative therapy. There were no complications, and 2 years of surveillance revealed continued retraction of the ablated tumor focus and no subsequent disease. LESSONS Alternatives to mutagenic therapies for brain tumors should be explored for patients with CPS. LITT paired with imaging surveillance is a logical strategy to ensure durable outcomes and mitigate treatment-related secondary neoplasms.
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Affiliation(s)
- Sergio W Guadix
- 1Department of Neurological Surgery, Weill Cornell Medicine, New York, New York; and
| | - Abhinav Pandey
- 1Department of Neurological Surgery, Weill Cornell Medicine, New York, New York; and
| | - Carson Gundlach
- 1Department of Neurological Surgery, Weill Cornell Medicine, New York, New York; and
| | - Michael Walsh
- 2Department of Neurosurgery, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Nelson S Moss
- 2Department of Neurosurgery, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Mark M Souweidane
- 1Department of Neurological Surgery, Weill Cornell Medicine, New York, New York; and
- 2Department of Neurosurgery, Memorial Sloan Kettering Cancer Center, New York, New York
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Egashira M, Arimura H, Kobayashi K, Moriyama K, Kodama T, Tokuda T, Ninomiya K, Okamoto H, Igaki H. Magnetic resonance-based imaging biopsy with signatures including topological Betti number features for prediction of primary brain metastatic sites. Phys Eng Sci Med 2023; 46:1411-1426. [PMID: 37603131 DOI: 10.1007/s13246-023-01308-6] [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: 02/02/2023] [Accepted: 07/20/2023] [Indexed: 08/22/2023]
Abstract
This study incorporated topology Betti number (BN) features into the prediction of primary sites of brain metastases and the construction of magnetic resonance-based imaging biopsy (MRB) models. The significant features of the MRB model were selected from those obtained from gray-scale and three-dimensional wavelet-filtered images, BN and inverted BN (iBN) maps, and clinical variables (age and gender). The primary sites were predicted as either lung cancer or other cancers using MRB models, which were built using seven machine learning methods with significant features chosen by three feature selection methods followed by a combination strategy. Our study dealt with a dataset with relatively smaller brain metastases, which included effective diameters greater than 2 mm, with metastases ranging from 2 to 9 mm accounting for 17% of the dataset. The MRB models were trained by T1-weighted contrast-enhanced images of 494 metastases chosen from 247 patients and applied to 115 metastases from 62 test patients. The most feasible model attained an area under the receiver operating characteristic curve (AUC) of 0.763 for the test patients when using a signature including features of BN and iBN maps, gray-scale and wavelet-filtered images, and clinical variables. The AUCs of the model were 0.744 for non-small cell lung cancer and 0.861 for small cell lung cancer. The results suggest that the BN signature boosted the performance of MRB for the identification of primary sites of brain metastases including small tumors.
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Affiliation(s)
- Mai Egashira
- Division of Medical Quantum Science, Department of Health Science, Graduate School of Medical Science, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan
| | - Hidetaka Arimura
- Division of Medical Quantum Science, Department of Health Sciences, Faculty of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.
| | - Kazuma Kobayashi
- Department of Medical AI Research and Development, National Cancer Center Research Institute, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
| | - Kazutoshi Moriyama
- Division of Medical Quantum Science, Department of Health Science, Graduate School of Medical Science, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan
| | - Takumi Kodama
- Division of Medical Quantum Science, Department of Health Science, Graduate School of Medical Science, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan
| | - Tomoki Tokuda
- Joint Graduate School of Mathematics for Innovation, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka, 819-0395, Japan
| | - Kenta Ninomiya
- Sanford Burnham Prebys Medical Discovery Institute, San Diego, CA, USA
| | - Hiroyuki Okamoto
- Radiation Safety and Quality Assurance Division, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan
| | - Hiroshi Igaki
- Department of Radiation Oncology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan
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Haskell-Mendoza AP, Srinivasan ES, Lerner EC, Edwards RM, Schwalb AM, Jackson JD, Hardigan AA, Vaios EJ, Fecci PE. Risk of Tract Seeding Following Laser Interstitial Thermal Therapy for Brain Tumors. Neurosurgery 2023; 93:198-205. [PMID: 36790207 PMCID: PMC10553123 DOI: 10.1227/neu.0000000000002403] [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: 11/10/2022] [Accepted: 12/12/2022] [Indexed: 02/16/2023] Open
Abstract
BACKGROUND The management of intracranial oncological disease remains a significant challenge despite advances in systemic cancer therapy. Laser interstitial thermal therapy (LITT) represents a novel treatment for local control of brain tumors through photocoagulation with a stereotactically implanted laser fiber. Because the use of laser interstitial thermal therapy continues to increase within neurosurgery, characterization of LITT is necessary to improve outcomes. OBJECTIVE To quantify the risk of tumor seeding along the laser fiber tract in patients receiving LITT for primary or metastatic brain tumors at a high-volume treatment center. METHODS We retrospectively reviewed all patients receiving LITT from 2015 to 2021 at our medical center. Patients with biopsy-confirmed tumors were included in this study. Tract seeding was identified as discontinuous, newly enhancing tumor along the LITT tract. RESULTS Fifty-six patients received LITT for biopsy-confirmed tumors from 2015 to 2021, with tract seeding identified in 3 (5.4%). Twenty-nine (51.8%) patients had gliomas, while the remainder had metastases, of which lung was the most common histology (20 patients, 74%). Tract seeding was associated with ablation proceeding inward from superficial tumor margin closest to the cranial entry point ( P = .03). Patients with tract seeding had a shorter median time to progression of 1.1 (0.1-1.3) months vs 4.2 (2.2-8.6) months ( P = .03). CONCLUSION Although the risk of tract seeding after LITT is reassuringly low, it is associated with decreased progression-free survival. This risk may be related to surgical technique or experience. Follow-up radiosurgery to the LITT tract has the potential to prevent this complication.
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Affiliation(s)
| | | | - Emily C. Lerner
- Duke University School of Medicine, Durham, North Carolina, USA
| | - Ryan M. Edwards
- Duke University School of Medicine, Durham, North Carolina, USA
| | | | - Joshua D. Jackson
- Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina, USA
| | - Andrew A. Hardigan
- Department of Neurosurgery, Duke University Medical Center, Durham, North Carolina, USA
| | - Eugene J. Vaios
- Duke University School of Medicine, Durham, North Carolina, USA
| | - Peter E. Fecci
- Duke University School of Medicine, Durham, North Carolina, USA
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Wenger TA, Liu KQ, Attenello FJ. Commentary: Risk of Tract Seeding Following Laser Interstitial Thermal Therapy for Brain Tumors. Neurosurgery 2023; 93:e3-e4. [PMID: 37097027 DOI: 10.1227/neu.0000000000002513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 03/27/2023] [Indexed: 04/26/2023] Open
Affiliation(s)
- Talia A Wenger
- Keck School of Medicine of the University of Southern California, Los Angeles , California , USA
| | - Kristie Q Liu
- Keck School of Medicine of the University of Southern California, Los Angeles , California , USA
| | - Frank J Attenello
- Department of Neurological Surgery, Keck School of Medicine of the University of Southern California, Los Angeles , California , USA
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Rajkumar S, Liang Y, Wegner RE, Shepard MJ. Utilization of neoadjuvant stereotactic radiosurgery for the treatment of brain metastases requiring surgical resection: a topic review. J Neurooncol 2022; 160:691-705. [DOI: 10.1007/s11060-022-04190-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 11/02/2022] [Indexed: 11/15/2022]
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Arimura H, Kodama T, Urakami A, Kamezawa H, Hirose TA, Ninomiya K. [6. Imaging Biopsy for Assisting Cancer Precision Therapy -Information Extracted from Radiomics]. Nihon Hoshasen Gijutsu Gakkai Zasshi 2022; 78:219-224. [PMID: 35185102 DOI: 10.6009/jjrt.780213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Affiliation(s)
- Hidetaka Arimura
- Department of Health Sciences, Faculty of Medical Sciences, Kyushu University
| | - Takumi Kodama
- Department of Health Sciences, Graduate School of Medical Sciences, Kyushu University
| | - Akimasa Urakami
- Department of Health Sciences, Graduate School of Medical Sciences, Kyushu University
| | - Hidemi Kamezawa
- Department of Radiological Technology, Faculty of Fukuoka Medical Technology, Teikyo University
| | - Taka-Aki Hirose
- Division of Radiology, Department of Medical Technology, Kyushu University Hospital
| | - Kenta Ninomiya
- Department of Health Sciences, Graduate School of Medical Sciences, Kyushu University
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Wilcox JA, Brown S, Reiner AS, Young RJ, Chen J, Bale TA, Rosenblum MK, Newman WC, Brennan CW, Tabar V, Beal K, Panageas KS, Moss NS. Salvage resection of recurrent previously irradiated brain metastases: tumor control and radiation necrosis dependency on adjuvant re-irradiation. J Neurooncol 2021; 155:277-286. [PMID: 34655373 DOI: 10.1007/s11060-021-03872-x] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Accepted: 10/08/2021] [Indexed: 01/25/2023]
Abstract
PURPOSE The efficacy of salvage resection (SR) of recurrent brain metastases (rBrM) following stereotactic radiosurgery (SRS) is undefined. We sought to describe local recurrence (LR) and radiation necrosis (RN) rates in patients undergoing SR, with or without adjuvant post-salvage radiation therapy (PSRT). METHODS A retrospective cohort study evaluated patients undergoing SR of post-SRS rBrM between 3/2003-2/2020 at an NCI-designated cancer center. Cases with histologically-viable malignancy were stratified by receipt of adjuvant PSRT within 60 days of SR. Clinical outcomes were described using cumulative incidences in the clustered competing-risks setting, competing risks regression, and Kaplan-Meier methodology. RESULTS One-hundred fifty-five rBrM in 135 patients were evaluated. The overall rate of LR was 40.2% (95% CI 34.3-47.2%) at 12 months. Thirty-nine (25.2%) rBrM treated with SR + PSRT trended towards lower 12-month LR versus SR alone [28.8% (95% CI 17.0-48.8%) versus 43.9% (95% CI 36.2-53.4%), p = .07 by multivariate analysis]. SR as re-operation (p = .03) and subtotal resection (p = .01) were independently associated with higher rates of LR. On univariate analysis, tumor size (p = .48), primary malignancy (p = .35), and PSRT technique (p = .43) bore no influence on LR. SR + PSRT was associated with an increased risk of radiographic RN at 12 months versus SR alone [13.4% (95% CI 5.5-32.7%) versus 3.5% (95% CI 1.5-8.0%), p = .02], though the percentage with symptomatic RN remained low (5.1% versus 0.9%, respectively). Median overall survival from SR was 13.4 months (95% CI 10.5-17.7). CONCLUSION In this largest-known series evaluating SR outcomes in histopathologically-confirmed rBrM, we identify a significant LR risk that may be reduced with adjuvant PSRT and with minimal symptomatic RN. Prospective analysis is warranted.
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Affiliation(s)
- Jessica A Wilcox
- Department of Neurology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Multidisciplinary Brain Metastasis Center, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Samantha Brown
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Anne S Reiner
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Robert J Young
- Multidisciplinary Brain Metastasis Center, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Justin Chen
- Joan and Sanford I. Weill Medical College of Cornell University, New York, NY, USA
| | - Tejus A Bale
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Marc K Rosenblum
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - William C Newman
- Department of Neurosurgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Neurosurgery, Louisiana State University Health Shreveport, Shreveport, LA, USA
| | - Cameron W Brennan
- Multidisciplinary Brain Metastasis Center, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Neurosurgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Viviane Tabar
- Multidisciplinary Brain Metastasis Center, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Neurosurgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kathryn Beal
- Multidisciplinary Brain Metastasis Center, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Katherine S Panageas
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Nelson S Moss
- Multidisciplinary Brain Metastasis Center, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Department of Neurosurgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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