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Kappel AD, Feroze AH, Torio E, Sukumaran M, Du R. Management of moyamoya disease: a review of current and future therapeutic strategies. J Neurosurg 2024:1-8. [PMID: 38626477 DOI: 10.3171/2024.1.jns221977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 01/25/2024] [Indexed: 04/18/2024]
Abstract
Moyamoya disease (MMD) is characterized by idiopathic, progressive stenosis of the circle of Willis and the terminal portion of the internal carotid arteries with the development of prominent small collateral vessels and a characteristic moyamoya or puff-of-smoke radiographic appearance. The incidence and prevalence of MMD varies by region, age, and sex, with higher rates in Asian and East Asian populations compared to North American or European populations. There is a bimodal distribution of patients diagnosed with MMD. Pediatric patients are more commonly diagnosed within the 1st decade of life, whereas adult patients present in the 5th or 6th decade of life. Overall, there is a nearly 2:1 female-to-male ratio. Ischemic symptoms are the most common presentation in pediatric and adult populations, but adult patients are nearly twice as likely to present with intracranial hemorrhage compared to their pediatric counterparts. Surgical revascularization is indicated in symptomatic cases, and antiplatelet therapy may be a useful adjunct to prevent recurrent symptoms. Direct and combined bypass procedures seem to be more effective in adults, whereas children respond well to indirect bypass. The identification of key genetic, molecular, and environmental factors including RNF213 and GUCY1A3 loss-of-function mutations, angiogenic growth factors, autoantibodies, CNS infections, and radiation exposure suggest multiple pathways for the development of moyamoya arteriopathy. Further research is needed to better understand the heterogeneity of pathogenetic mechanisms that lead to moyamoya and to identify novel therapeutic targets to prevent, stabilize, and treat MMD.
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2
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Juvekar P, Dorent R, Kögl F, Torio E, Barr C, Rigolo L, Galvin C, Jowkar N, Kazi A, Haouchine N, Cheema H, Navab N, Pieper S, Wells WM, Bi WL, Golby A, Frisken S, Kapur T. ReMIND: The Brain Resection Multimodal Imaging Database. medRxiv 2024:2023.09.14.23295596. [PMID: 37745329 PMCID: PMC10516086 DOI: 10.1101/2023.09.14.23295596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/26/2023]
Abstract
The standard of care for brain tumors is maximal safe surgical resection. Neuronavigation augments the surgeon's ability to achieve this but loses validity as surgery progresses due to brain shift. Moreover, gliomas are often indistinguishable from surrounding healthy brain tissue. Intraoperative magnetic resonance imaging (iMRI) and ultrasound (iUS) help visualize the tumor and brain shift. iUS is faster and easier to incorporate into surgical workflows but offers a lower contrast between tumorous and healthy tissues than iMRI. With the success of data-hungry Artificial Intelligence algorithms in medical image analysis, the benefits of sharing well-curated data cannot be overstated. To this end, we provide the largest publicly available MRI and iUS database of surgically treated brain tumors, including gliomas (n=92), metastases (n=11), and others (n=11). This collection contains 369 preoperative MRI series, 320 3D iUS series, 301 iMRI series, and 356 segmentations collected from 114 consecutive patients at a single institution. This database is expected to help brain shift and image analysis research and neurosurgical training in interpreting iUS and iMRI.
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Affiliation(s)
- Parikshit Juvekar
- Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Reuben Dorent
- Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Fryderyk Kögl
- Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Computer Aided Medical Procedures, Technische Universität München, Munich, Germany
| | - Erickson Torio
- Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Colton Barr
- Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Laura Rigolo
- Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Colin Galvin
- Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Nick Jowkar
- Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Anees Kazi
- Computer Aided Medical Procedures, Technische Universität München, Munich, Germany
| | - Nazim Haouchine
- Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Harneet Cheema
- Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Health Science, University of Ottawa, Ottawa, Canada
| | - Nassir Navab
- Computer Aided Medical Procedures, Technische Universität München, Munich, Germany
| | - Steve Pieper
- Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - William M. Wells
- Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Boston, USA
| | - Wenya Linda Bi
- Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Alexandra Golby
- Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Sarah Frisken
- Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Tina Kapur
- Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
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3
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He J, Zhang F, Pan Y, Feng Y, Rushmore J, Torio E, Rathi Y, Makris N, Kikinis R, Golby AJ, O'Donnell LJ. Reconstructing the somatotopic organization of the corticospinal tract remains a challenge for modern tractography methods. Hum Brain Mapp 2023; 44:6055-6073. [PMID: 37792280 PMCID: PMC10619402 DOI: 10.1002/hbm.26497] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 09/09/2023] [Accepted: 09/13/2023] [Indexed: 10/05/2023] Open
Abstract
The corticospinal tract (CST) is a critically important white matter fiber tract in the human brain that enables control of voluntary movements of the body. The CST exhibits a somatotopic organization, which means that the motor neurons that control specific body parts are arranged in order within the CST. Diffusion magnetic resonance imaging (MRI) tractography is increasingly used to study the anatomy of the CST. However, despite many advances in tractography algorithms over the past decade, modern, state-of-the-art methods still face challenges. In this study, we compare the performance of six widely used tractography methods for reconstructing the CST and its somatotopic organization. These methods include constrained spherical deconvolution (CSD) based probabilistic (iFOD1) and deterministic (SD-Stream) methods, unscented Kalman filter (UKF) tractography methods including multi-fiber (UKF2T) and single-fiber (UKF1T) models, the generalized q-sampling imaging (GQI) based deterministic tractography method, and the TractSeg method. We investigate CST somatotopy by dividing the CST into four subdivisions per hemisphere that originate in the leg, trunk, hand, and face areas of the primary motor cortex. A quantitative and visual comparison is performed using diffusion MRI data (N = 100 subjects) from the Human Connectome Project. Quantitative evaluations include the reconstruction rate of the eight anatomical subdivisions, the percentage of streamlines in each subdivision, and the coverage of the white matter-gray matter (WM-GM) interface. CST somatotopy is further evaluated by comparing the percentage of streamlines in each subdivision to the cortical volumes for the leg, trunk, hand, and face areas. Overall, UKF2T has the highest reconstruction rate and cortical coverage. It is the only method with a significant positive correlation between the percentage of streamlines in each subdivision and the volume of the corresponding motor cortex. However, our experimental results show that all compared tractography methods are biased toward generating many trunk streamlines (ranging from 35.10% to 71.66% of total streamlines across methods). Furthermore, the coverage of the WM-GM interface in the largest motor area (face) is generally low (under 40%) for all compared tractography methods. Different tractography methods give conflicting results regarding the percentage of streamlines in each subdivision and the volume of the corresponding motor cortex, indicating that there is generally no clear relationship, and that reconstruction of CST somatotopy is still a large challenge. Overall, we conclude that while current tractography methods have made progress toward the well-known challenge of improving the reconstruction of the lateral projections of the CST, the overall problem of performing a comprehensive CST reconstruction, including clinically important projections in the lateral (hand and face areas) and medial portions (leg area), remains an important challenge for diffusion MRI tractography.
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Affiliation(s)
- Jianzhong He
- Institution of Information Processing and AutomationZhejiang University of TechnologyHangzhouChina
| | - Fan Zhang
- Department of Radiology, Brigham and Women's HospitalHarvard Medical SchoolBostonMassachusettsUSA
- University of Electronic Science and Technology of ChinaChengduSichuanChina
| | - Yiang Pan
- Institution of Information Processing and AutomationZhejiang University of TechnologyHangzhouChina
| | - Yuanjing Feng
- Institution of Information Processing and AutomationZhejiang University of TechnologyHangzhouChina
| | - Jarrett Rushmore
- Departments of Psychiatry, Neurology and RadiologyMassachusetts General Hospital, Harvard Medical SchoolBostonMassachusettsUSA
- Department of Anatomy and NeurobiologyBoston University School of MedicineBostonMassachusettsUSA
| | - Erickson Torio
- Department of NeurosurgeryBrigham and Women's Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - Yogesh Rathi
- Department of Radiology, Brigham and Women's HospitalHarvard Medical SchoolBostonMassachusettsUSA
- Department of PsychiatryBrigham and Women's Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - Nikos Makris
- Departments of Psychiatry, Neurology and RadiologyMassachusetts General Hospital, Harvard Medical SchoolBostonMassachusettsUSA
- Department of PsychiatryBrigham and Women's Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - Ron Kikinis
- Department of Radiology, Brigham and Women's HospitalHarvard Medical SchoolBostonMassachusettsUSA
| | - Alexandra J. Golby
- Department of Radiology, Brigham and Women's HospitalHarvard Medical SchoolBostonMassachusettsUSA
- Department of NeurosurgeryBrigham and Women's Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - Lauren J. O'Donnell
- Department of Radiology, Brigham and Women's HospitalHarvard Medical SchoolBostonMassachusettsUSA
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4
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Ling AL, Solomon IH, Landivar AM, Nakashima H, Woods JK, Santos A, Masud N, Fell G, Mo X, Yilmaz AS, Grant J, Zhang A, Bernstock JD, Torio E, Ito H, Liu J, Shono N, Nowicki MO, Triggs D, Halloran P, Piranlioglu R, Soni H, Stopa B, Bi WL, Peruzzi P, Chen E, Malinowski SW, Prabhu MC, Zeng Y, Carlisle A, Rodig SJ, Wen PY, Lee EQ, Nayak L, Chukwueke U, Gonzalez Castro LN, Dumont SD, Batchelor T, Kittelberger K, Tikhonova E, Miheecheva N, Tabakov D, Shin N, Gorbacheva A, Shumskiy A, Frenkel F, Aguilar-Cordova E, Aguilar LK, Krisky D, Wechuck J, Manzanera A, Matheny C, Tak PP, Barone F, Kovarsky D, Tirosh I, Suvà ML, Wucherpfennig KW, Ligon K, Reardon DA, Chiocca EA. Clinical trial links oncolytic immunoactivation to survival in glioblastoma. Nature 2023; 623:157-166. [PMID: 37853118 PMCID: PMC10620094 DOI: 10.1038/s41586-023-06623-2] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 09/07/2023] [Indexed: 10/20/2023]
Abstract
Immunotherapy failures can result from the highly suppressive tumour microenvironment that characterizes aggressive forms of cancer such as recurrent glioblastoma (rGBM)1,2. Here we report the results of a first-in-human phase I trial in 41 patients with rGBM who were injected with CAN-3110-an oncolytic herpes virus (oHSV)3. In contrast to other clinical oHSVs, CAN-3110 retains the viral neurovirulence ICP34.5 gene transcribed by a nestin promoter; nestin is overexpressed in GBM and other invasive tumours, but not in the adult brain or healthy differentiated tissue4. These modifications confer CAN-3110 with preferential tumour replication. No dose-limiting toxicities were encountered. Positive HSV1 serology was significantly associated with both improved survival and clearance of CAN-3110 from injected tumours. Survival after treatment, particularly in individuals seropositive for HSV1, was significantly associated with (1) changes in tumour/PBMC T cell counts and clonal diversity, (2) peripheral expansion/contraction of specific T cell clonotypes; and (3) tumour transcriptomic signatures of immune activation. These results provide human validation that intralesional oHSV treatment enhances anticancer immune responses even in immunosuppressive tumour microenvironments, particularly in individuals with cognate serology to the injected virus. This provides a biological rationale for use of this oncolytic modality in cancers that are otherwise unresponsive to immunotherapy (ClinicalTrials.gov: NCT03152318 ).
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Affiliation(s)
- Alexander L Ling
- Harvey Cushing Neuro-oncology Laboratories, Department of Neurosurgery, Brigham and Women's Hospital, Boston, MA, USA
| | - Isaac H Solomon
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA
- Department of Pathology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Ana Montalvo Landivar
- Harvey Cushing Neuro-oncology Laboratories, Department of Neurosurgery, Brigham and Women's Hospital, Boston, MA, USA
| | - Hiroshi Nakashima
- Harvey Cushing Neuro-oncology Laboratories, Department of Neurosurgery, Brigham and Women's Hospital, Boston, MA, USA
| | - Jared K Woods
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA
- Department of Pathology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Andres Santos
- Harvey Cushing Neuro-oncology Laboratories, Department of Neurosurgery, Brigham and Women's Hospital, Boston, MA, USA
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA
- Department of Pathology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Nafisa Masud
- Harvey Cushing Neuro-oncology Laboratories, Department of Neurosurgery, Brigham and Women's Hospital, Boston, MA, USA
| | - Geoffrey Fell
- Department of Biostatistics, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Xiaokui Mo
- Center for Biostatistics, Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA
- James Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA
| | - Ayse S Yilmaz
- Center for Biostatistics, Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA
- James Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA
| | - James Grant
- Harvey Cushing Neuro-oncology Laboratories, Department of Neurosurgery, Brigham and Women's Hospital, Boston, MA, USA
| | - Abigail Zhang
- Harvey Cushing Neuro-oncology Laboratories, Department of Neurosurgery, Brigham and Women's Hospital, Boston, MA, USA
| | - Joshua D Bernstock
- Harvey Cushing Neuro-oncology Laboratories, Department of Neurosurgery, Brigham and Women's Hospital, Boston, MA, USA
| | - Erickson Torio
- Harvey Cushing Neuro-oncology Laboratories, Department of Neurosurgery, Brigham and Women's Hospital, Boston, MA, USA
| | - Hirotaka Ito
- Harvey Cushing Neuro-oncology Laboratories, Department of Neurosurgery, Brigham and Women's Hospital, Boston, MA, USA
| | - Junfeng Liu
- Harvey Cushing Neuro-oncology Laboratories, Department of Neurosurgery, Brigham and Women's Hospital, Boston, MA, USA
| | - Naoyuki Shono
- Harvey Cushing Neuro-oncology Laboratories, Department of Neurosurgery, Brigham and Women's Hospital, Boston, MA, USA
| | - Michal O Nowicki
- Harvey Cushing Neuro-oncology Laboratories, Department of Neurosurgery, Brigham and Women's Hospital, Boston, MA, USA
| | - Daniel Triggs
- Harvey Cushing Neuro-oncology Laboratories, Department of Neurosurgery, Brigham and Women's Hospital, Boston, MA, USA
| | - Patrick Halloran
- Harvey Cushing Neuro-oncology Laboratories, Department of Neurosurgery, Brigham and Women's Hospital, Boston, MA, USA
| | - Raziye Piranlioglu
- Harvey Cushing Neuro-oncology Laboratories, Department of Neurosurgery, Brigham and Women's Hospital, Boston, MA, USA
| | - Himanshu Soni
- Harvey Cushing Neuro-oncology Laboratories, Department of Neurosurgery, Brigham and Women's Hospital, Boston, MA, USA
| | - Brittany Stopa
- Harvey Cushing Neuro-oncology Laboratories, Department of Neurosurgery, Brigham and Women's Hospital, Boston, MA, USA
| | - Wenya Linda Bi
- Harvey Cushing Neuro-oncology Laboratories, Department of Neurosurgery, Brigham and Women's Hospital, Boston, MA, USA
| | - Pierpaolo Peruzzi
- Harvey Cushing Neuro-oncology Laboratories, Department of Neurosurgery, Brigham and Women's Hospital, Boston, MA, USA
| | - Ethan Chen
- Harvey Cushing Neuro-oncology Laboratories, Department of Neurosurgery, Brigham and Women's Hospital, Boston, MA, USA
| | - Seth W Malinowski
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA
- Department of Pathology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Michael C Prabhu
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA
- Department of Pathology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Yu Zeng
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA
- Department of Pathology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Anne Carlisle
- Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Scott J Rodig
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA
- Department of Pathology, Dana-Farber Cancer Institute, Boston, MA, USA
- Center for Immuno-Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Patrick Y Wen
- Center for Neuro-oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Eudocia Quant Lee
- Center for Neuro-oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Lakshmi Nayak
- Center for Neuro-oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Ugonma Chukwueke
- Center for Neuro-oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - L Nicolas Gonzalez Castro
- Center for Neuro-oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
| | - Sydney D Dumont
- Department of Pathology and Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Tracy Batchelor
- Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Daniel Kovarsky
- Department of Molecular Cell Biology, Weizmann Institute of Medical Sciences, Tel Aviv, Israel
| | - Itay Tirosh
- Department of Molecular Cell Biology, Weizmann Institute of Medical Sciences, Tel Aviv, Israel
| | - Mario L Suvà
- Department of Pathology and Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Kai W Wucherpfennig
- Department of Cancer Immunology and Virology, Dana Farber Cancer Institute, Boston, MA, USA
| | - Keith Ligon
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA
- Department of Pathology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - David A Reardon
- Center for Neuro-oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - E Antonio Chiocca
- Harvey Cushing Neuro-oncology Laboratories, Department of Neurosurgery, Brigham and Women's Hospital, Boston, MA, USA.
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5
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Dorent R, Haouchine N, Kogl F, Joutard S, Juvekar P, Torio E, Golby A, Ourselin S, Frisken S, Vercauteren T, Kapur T, Wells WM. Unified Brain MR-Ultrasound Synthesis using Multi-Modal Hierarchical Representations. Med Image Comput Comput Assist Interv 2023; 2023:448-458. [PMID: 38655383 PMCID: PMC7615858 DOI: 10.1007/978-3-031-43999-5_43] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/26/2024]
Abstract
We introduce MHVAE, a deep hierarchical variational autoencoder (VAE) that synthesizes missing images from various modalities. Extending multi-modal VAEs with a hierarchical latent structure, we introduce a probabilistic formulation for fusing multi-modal images in a common latent representation while having the flexibility to handle incomplete image sets as input. Moreover, adversarial learning is employed to generate sharper images. Extensive experiments are performed on the challenging problem of joint intra-operative ultrasound (iUS) and Magnetic Resonance (MR) synthesis. Our model outperformed multi-modal VAEs, conditional GANs, and the current state-of-the-art unified method (ResViT) for synthesizing missing images, demonstrating the advantage of using a hierarchical latent representation and a principled probabilistic fusion operation. Our code is publicly available.
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Affiliation(s)
- Reuben Dorent
- Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
| | - Nazim Haouchine
- Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
| | - Fryderyk Kogl
- Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
| | | | - Parikshit Juvekar
- Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
| | - Erickson Torio
- Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
| | - Alexandra Golby
- Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
| | | | - Sarah Frisken
- Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
| | | | - Tina Kapur
- Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
| | - William M Wells
- Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
- Massachusetts Institute of Technology, Cambridge, MA, USA
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6
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Haouchine N, Dorent R, Juvekar P, Torio E, Wells WM, Kapur T, Golby AJ, Frisken S. Learning Expected Appearances for Intraoperative Registration during Neurosurgery. Med Image Comput Comput Assist Interv 2023; 14228:227-237. [PMID: 38371724 PMCID: PMC10870253 DOI: 10.1007/978-3-031-43996-4_22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/20/2024]
Abstract
We present a novel method for intraoperative patient-to-image registration by learning Expected Appearances. Our method uses preoperative imaging to synthesize patient-specific expected views through a surgical microscope for a predicted range of transformations. Our method estimates the camera pose by minimizing the dissimilarity between the intraoperative 2D view through the optical microscope and the synthesized expected texture. In contrast to conventional methods, our approach transfers the processing tasks to the preoperative stage, reducing thereby the impact of low-resolution, distorted, and noisy intraoperative images, that often degrade the registration accuracy. We applied our method in the context of neuronavigation during brain surgery. We evaluated our approach on synthetic data and on retrospective data from 6 clinical cases. Our method outperformed state-of-the-art methods and achieved accuracies that met current clinical standards.
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Affiliation(s)
- Nazim Haouchine
- Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
| | - Reuben Dorent
- Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
| | - Parikshit Juvekar
- Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
| | - Erickson Torio
- Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
| | - William M Wells
- Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
- Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Tina Kapur
- Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
| | - Alexandra J Golby
- Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
| | - Sarah Frisken
- Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
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7
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Juvekar P, Torio E, Bi WL, Bastos DCDA, Golby AJ, Frisken SF. Mapping Resection Progress by Tool-Tip Tracking during Brain Tumor Surgery for Real-Time Estimation of Residual Tumor. Cancers (Basel) 2023; 15:cancers15030825. [PMID: 36765783 PMCID: PMC9913508 DOI: 10.3390/cancers15030825] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 01/21/2023] [Accepted: 01/23/2023] [Indexed: 01/31/2023] Open
Abstract
Surgical resection continues to be the primary initial therapeutic strategy in the treatment of patients with brain tumors. Computerized cranial neuronavigation based on preoperative imaging offers precision guidance during craniotomy and early tumor resection but progressively loses validity with brain shift. Intraoperative MRI (iMRI) and intraoperative ultrasound (iUS) can update the imaging used for guidance and navigation but are limited in terms of temporal and spatial resolution, respectively. We present a system that uses time-stamped tool-tip positions of surgical instruments to generate a map of resection progress with high spatial and temporal accuracy. We evaluate this system and present results from 80 cranial tumor resections. Regions of the preoperative tumor segmentation that are covered by the resection map (True Positive Tracking) and regions of the preoperative tumor segmentation not covered by the resection map (True Negative Tracking) are determined for each case. We compare True Negative Tracking, which estimates the residual tumor, with the actual residual tumor identified using iMRI. We discuss factors that can cause False Positive Tracking and False Negative Tracking, which underestimate and overestimate the residual tumor, respectively. Our method provides good estimates of the residual tumor when there is minimal brain shift, and line-of-sight is maintained. When these conditions are not met, surgeons report that it is still useful for identifying regions of potential residual.
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Affiliation(s)
- Parikshit Juvekar
- Department of Neurosurgery, Brigham and Women’s Hospital, Boston, MA 02115, USA
- Harvard Medical School, Boston, MA 02115, USA
- Correspondence: or (P.J.); (S.F.F.)
| | - Erickson Torio
- Department of Neurosurgery, Brigham and Women’s Hospital, Boston, MA 02115, USA
- Harvard Medical School, Boston, MA 02115, USA
| | - Wenya Linda Bi
- Department of Neurosurgery, Brigham and Women’s Hospital, Boston, MA 02115, USA
- Harvard Medical School, Boston, MA 02115, USA
| | - Dhiego Chaves De Almeida Bastos
- Department of Neurosurgery, Brigham and Women’s Hospital, Boston, MA 02115, USA
- Harvard Medical School, Boston, MA 02115, USA
| | - Alexandra J. Golby
- Department of Neurosurgery, Brigham and Women’s Hospital, Boston, MA 02115, USA
- Harvard Medical School, Boston, MA 02115, USA
- Department of Radiology, Brigham and Women’s Hospital, Boston, MA 02115, USA
| | - Sarah F. Frisken
- Harvard Medical School, Boston, MA 02115, USA
- Department of Radiology, Brigham and Women’s Hospital, Boston, MA 02115, USA
- Correspondence: or (P.J.); (S.F.F.)
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8
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Kögl FV, Léger É, Haouchine N, Torio E, Juvekar P, Navab N, Kapur T, Pieper S, Golby A, Frisken S. A Tool-free Neuronavigation Method based on Single-view Hand Tracking. Comput Methods Biomech Biomed Eng Imaging Vis 2022; 11:1307-1315. [PMID: 37457380 PMCID: PMC10348700 DOI: 10.1080/21681163.2022.2163428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 11/19/2022] [Indexed: 12/30/2022]
Abstract
This work presents a novel tool-free neuronavigation method that can be used with a single RGB commodity camera. Compared with freehand craniotomy placement methods, the proposed system is more intuitive and less error prone. The proposed method also has several advantages over standard neuronavigation platforms. First, it has a much lower cost, since it doesn't require the use of an optical tracking camera or electromagnetic field generator, which are typically the most expensive parts of a neuronavigation system, making it much more accessible. Second, it requires minimal setup, meaning that it can be performed at the bedside and in circumstances where using a standard neuronavigation system is impractical. Our system relies on machine-learning-based hand pose estimation that acts as a proxy for optical tool tracking, enabling a 3D-3D pre-operative to intra-operative registration. Qualitative assessment from clinical users showed that the concept is clinically relevant. Quantitative assessment showed that on average a target registration error (TRE) of 1.3cm can be achieved. Furthermore, the system is framework-agnostic, meaning that future improvements to hand-tracking frameworks would directly translate to a higher accuracy.
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Affiliation(s)
- Fryderyk Victor Kögl
- Harvard Medical School, Brigham and Women’s Hospital, Boston, MA, USA
- Computer Aided Medical Procedures, Technische Universität München, Munich, Germany
| | - Étienne Léger
- Harvard Medical School, Brigham and Women’s Hospital, Boston, MA, USA
| | - Nazim Haouchine
- Harvard Medical School, Brigham and Women’s Hospital, Boston, MA, USA
| | - Erickson Torio
- Harvard Medical School, Brigham and Women’s Hospital, Boston, MA, USA
| | - Parikshit Juvekar
- Harvard Medical School, Brigham and Women’s Hospital, Boston, MA, USA
| | - Nassir Navab
- Computer Aided Medical Procedures, Technische Universität München, Munich, Germany
- Whiting School of Engineering, Johns Hopkins University, Baltimore, USA
| | - Tina Kapur
- Harvard Medical School, Brigham and Women’s Hospital, Boston, MA, USA
| | - Steve Pieper
- Harvard Medical School, Brigham and Women’s Hospital, Boston, MA, USA
- Isomics, Inc., Cambridge, MA, USA
| | - Alexandra Golby
- Harvard Medical School, Brigham and Women’s Hospital, Boston, MA, USA
| | - Sarah Frisken
- Harvard Medical School, Brigham and Women’s Hospital, Boston, MA, USA
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Leong JC, Mary Mercado C, Bayhon M, Mae Maala J, Rehino Yanto J, Torio E, Manuel Mariano J, Vincent Opinaldo P, Martin Magsanoc J, Mariano M, Casis R, Barredo C, Marie Sih I, Allan Torcuator R. Clinical outcomes of Hypofractionated stereotactic radiotherapy (HFSRT) among patients with brain metastases in a tertiary medical center in the Philippines. Interdisciplinary Neurosurgery 2022. [DOI: 10.1016/j.inat.2022.101623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
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10
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Léger É, Horvath S, Fillion-Robin JC, Allemang D, Gerber S, Juvekar P, Torio E, Kapur T, Pieper S, Pujol S, Bardsley R, Frisken S, Golby A. NousNav: A low-cost neuronavigation system for deployment in lower-resource settings. Int J Comput Assist Radiol Surg 2022; 17:1745-1750. [PMID: 35511395 DOI: 10.1007/s11548-022-02644-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Accepted: 04/14/2022] [Indexed: 11/30/2022]
Abstract
PURPOSE NousNav is a complete low-cost neuronavigation system that aims to democratize access to higher-quality healthcare in lower-resource settings. NousNav's goal is to provide a model for local actors to be able to reproduce, build and operate a fully functional neuronavigation system at an affordable cost. METHODS NousNav is entirely open source and relies on low-cost off-the-shelf components, which makes it easy to reproduce and deploy in any region. NousNav's software is also specifically devised with the low-resource setting in mind. RESULTS It offers means for intuitive intraoperative control. The designed interface is also clean and simple. This allows for easy intraoperative use by either the practicing clinician or a nurse. It thus alleviates the need for a dedicated technician for operation. CONCLUSION A prototype implementation of the design was built. Hardware and algorithms were designed for robustness, ruggedness, modularity, to be standalone and data-agnostic. The built prototype demonstrates feasibility of the objectives.
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Affiliation(s)
- Étienne Léger
- Brigham and Women's Hospital, Boston, MA, USA. .,Harvard Medical School, Boston, MA, USA.
| | | | | | | | | | - Parikshit Juvekar
- Brigham and Women's Hospital, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Erickson Torio
- Brigham and Women's Hospital, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Tina Kapur
- Brigham and Women's Hospital, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
| | | | - Sonia Pujol
- Brigham and Women's Hospital, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
| | | | - Sarah Frisken
- Brigham and Women's Hospital, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
| | - Alexandra Golby
- Brigham and Women's Hospital, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
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Maala J, Maala J, Bayhon MV, Torio E, Casis R. An Endoscopic Intraventricular Approach in Glioblastoma: A Case Report of an Adult Filipino with Periventricular Mass. Surg Case Rep 2021. [DOI: 10.31487/j.scr.2021.11.04] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
In this study, we present a case of a 58-year-old female with a 1-year history of a generalized headache who suddenly developed left-sided weakness accompanied by disorientation and changes in mood and behaviour. A cranial MRI plain and contrast revealed a right thalamo-mesencephalic mass with beginning hydrocephalus. The patient underwent endoscopic transventricular septostomy, biopsy of thalamic mass with ventriculoperitoneal shunt insertion under endoscopic guidance. The official histopathology results revealed a WHO Grade IV glioblastoma. The patient was subsequently treated with chemoradiation.
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Torio E, Maala J, Torio E, Torcuator RA. Case Report: Osteomesh Cranioplasty in a 20-Year-Old Trauma Patient. Surg Case Rep 2021. [DOI: 10.31487/j.scr.2021.11.03] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
In this study, we present a case of a 20-year-old male who suffered from severe traumatic brain injury with intracerebral hemorrhage, thus requiring decompressive craniectomy. Five months after, the patient underwent cranioplasty with the use of Osteomesh, a scaffold bone filler in reconstructing the post-operative cranial defect.
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Mojica C, Yu JM, Ampil E, Dy JS, Torio E, Pilotin R, Dominguez J. Demographic and clinical profile of patients with mild cognitive impairment seen at St. Luke's medical center-global city memory service. J Neurol Sci 2021. [DOI: 10.1016/j.jns.2021.118971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Torcuator RAD, Opinaldo PV, Torio E, Batara JM. HOUT-04. DEMOGRAPHIC PROFILES, MANAGEMENT AND CLINICAL OUTCOMES OF GLIOBLASTOMA PATIENTS TREATED AT ST. LUKE’S MEDICAL CENTER- PHILIPPINES. Neuro Oncol 2018. [DOI: 10.1093/neuonc/noy148.472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
| | | | - Erickson Torio
- St. Luke’s Medical Center- Bonifacio Global City, Taguig, Philippines
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