1
|
Zhang Z, Li N, Qian Y, Cheng H. Establishment of an MRI-based radiomics model for distinguishing between intramedullary spinal cord tumor and tumefactive demyelinating lesion. BMC Med Imaging 2024; 24:317. [PMID: 39574000 PMCID: PMC11583559 DOI: 10.1186/s12880-024-01499-8] [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: 06/03/2024] [Accepted: 11/14/2024] [Indexed: 11/24/2024] Open
Abstract
OBJECTIVE Differentiating intramedullary spinal cord tumor (IMSCT) from spinal cord tumefactive demyelinating lesion (scTDL) remains challenging with standard diagnostic approaches. This study aims to develop and evaluate the effectiveness of a magnetic resonance imaging (MRI)-based radiomics model for distinguishing scTDL from IMSCT before treatment initiation. METHODS A total of 75 patients were analyzed in this retrospective study, comprising 55 with IMSCT and 20 with scTDL. Radiomics features were extracted from T1- and T2-weighted imaging (T1&T2WI) scans upon admission. Ten classification algorithms were employed: logistic regression (LR); naive bayes (NaiveBayes); support vector machine (SVM); k nearest neighbors (KNN); random forest (RF); extra trees (ExtraTrees); eXtreme gradient boosting (XGBoost); light gradient boosting machine (LightGBM); gradient boosting (GradientBoosting); and multi-Layer perceptron (MLP). The performance of the optimal model was then compared to radiologists' assessments. RESULTS This study developed 30 predictive models using ten classifiers across two imaging sequences. The MLP model with two sequences (T1&T2WI) emerged as the most effective one, showing superior accuracy in MRI analysis with an area under the curve (AUC) of 0.991 in training and 0.962 in testing. Moreover, statistical analyses highlighted the radiomics model significantly outperformed radiologists' assessments (p < 0.05) in distinguishing between IMSCT and scTDL. CONCLUSION We present an MRI-based radiomics model with high diagnostic accuracy in differentiating IMSCT from scTDL. The model's performance was comparable to junior radiologists, highlighting its potential as an effective diagnostic aid in clinical practice.
Collapse
Affiliation(s)
- Zifeng Zhang
- School of Medicine, Southeast University, Nanjing, China
| | - Ning Li
- Department of Neurosurgery, Affiliated Zhongda Hospital, Southeast University, Nanjing, China
| | - Yuhang Qian
- School of Medicine, Southeast University, Nanjing, China
| | - Huilin Cheng
- School of Medicine, Southeast University, Nanjing, China.
| |
Collapse
|
2
|
Charles AJ, Smith VL, Goodwin CR, Johnson MO. An adult with recurrent atypical teratoid rhabdoid tumor of the spine. CNS Oncol 2024; 13:CNS105. [PMID: 38380555 PMCID: PMC11131339 DOI: 10.2217/cns-2023-0017] [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: 07/19/2023] [Accepted: 01/29/2024] [Indexed: 02/22/2024] Open
Abstract
Atypical teratoid rhabdoid tumors (AT/RT) are rare and highly malignant CNS neoplasms primarily affecting children. Adult cases are extremely uncommon, with only approximately 92 reported. Spinal AT/RT in adults is particularly rare. Here, we present the case of a 50-year-old patient diagnosed with AT/RT of the spine. Initially, they were diagnosed and treated for a spinal ependymoma. However, after 10 years, a recurrence was detected through magnetic resonance imaging (MRI) and the tumor was reclassified as AT/RT. We discuss the significance of SMARCB1 gene mutations in diagnosing AT/RT and describe our unique treatment approach involving surgery, radiation and anti-PD1 therapy in this patient.
Collapse
Affiliation(s)
| | - Vanessa L Smith
- Department of Pathology, Duke University School of Medicine, Durham, NC 27710, USA
| | - C Rory Goodwin
- Department of Neurosurgery, Duke University School of Medicine, Durham, NC 27710, USA
| | - Margaret O Johnson
- Department of Neurology, Duke University School of Medicine, Durham, NC 27710, USA
| |
Collapse
|
3
|
Lebrun L, Bizet M, Melendez B, Alexiou B, Absil L, Van Campenhout C, D'Haene N, Rorive S, Fuks F, Decaestecker C, Salmon I. Analyses of DNA Methylation Profiling in the Diagnosis of Intramedullary Astrocytomas. J Neuropathol Exp Neurol 2021; 80:663-673. [PMID: 34363673 PMCID: PMC8357340 DOI: 10.1093/jnen/nlab052] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Intramedullary astrocytomas (IMAs) consist of a heterogeneous group of rare central nervous system (CNS) tumors associated with variable outcomes. A DNA methylation-based classification approach has recently emerged as a powerful tool to further classify CNS tumors. However, no DNA methylation-related studies specifically addressing to IMAs have been performed yet. In the present study, we analyzed 16 IMA samples subjected to morphological and molecular analyses, including DNA methylation profiling. Among the 16 samples, only 3 cases were classified in a reference methylation class (MC) with the recommended calibrated score (≥0.9). The remaining cases were either considered “no-match” cases (calibrated score <0.3, n = 7) or were classified with low calibrated scores (ranging from 0.32 to 0.53, n = 6), including inconsistent classification. To obtain a more comprehensive tool for pathologists, we used different unsupervised analyses of DNA methylation profiles, including our data and those from the Heidelberg reference cohort. Even though our cohort included only 16 cases, hypotheses regarding IMA-specific classification were underlined; a potential specific MC of PA_SPINE was identified and high-grade IMAs, probably consisting of H3K27M wild-type IMAs, were mainly associated with ANA_PA MC. These hypotheses strongly suggest that a specific classification for IMAs has to be investigated.
Collapse
Affiliation(s)
- Laetitia Lebrun
- From the Department of Pathology, Erasme University Hospital, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Martin Bizet
- Laboratory of Cancer Epigenetics, Faculty of Medicine, ULB-Cancer Research Center (U-CRC), Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Barbara Melendez
- Molecular Pathology Research Unit, Department of Pathology, Virgen de la Salud Hospital, Toledo, Spain
| | - Barbara Alexiou
- From the Department of Pathology, Erasme University Hospital, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Lara Absil
- From the Department of Pathology, Erasme University Hospital, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Claude Van Campenhout
- From the Department of Pathology, Erasme University Hospital, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Nicky D'Haene
- From the Department of Pathology, Erasme University Hospital, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Sandrine Rorive
- From the Department of Pathology, Erasme University Hospital, Université Libre de Bruxelles (ULB), Brussels, Belgium.,Centre Universitaire inter Régional d'expertise en Anatomie Pathologique Hospitalière (CurePath, CHIREC, CHU Tivoli, ULB), Jumet, Belgium
| | - François Fuks
- Laboratory of Cancer Epigenetics, Faculty of Medicine, ULB-Cancer Research Center (U-CRC), Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Christine Decaestecker
- DIAPath, Center for Microscopy and Molecular Imaging, ULB, Gosselies, Belgium.,Laboratory of Image Synthesis and Analysis, Brussels School of Engineering/École Polytechnique de Brussels, ULB, Brussels, Belgium
| | - Isabelle Salmon
- From the Department of Pathology, Erasme University Hospital, Université Libre de Bruxelles (ULB), Brussels, Belgium.,DIAPath, Center for Microscopy and Molecular Imaging, ULB, Gosselies, Belgium.,Laboratory of Image Synthesis and Analysis, Brussels School of Engineering/École Polytechnique de Brussels, ULB, Brussels, Belgium
| |
Collapse
|
4
|
Simultaneous 3D Visualization of the Microvascular and Neural Network in Mouse Spinal Cord Using Synchrotron Radiation Micro-Computed Tomography. Neurosci Bull 2021; 37:1469-1480. [PMID: 34146232 PMCID: PMC8490558 DOI: 10.1007/s12264-021-00715-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2020] [Accepted: 02/06/2021] [Indexed: 11/01/2022] Open
Abstract
Effective methods for visualizing neurovascular morphology are essential for understanding the normal spinal cord and the morphological alterations associated with diseases. However, ideal techniques for simultaneously imaging neurovascular structure in a broad region of a specimen are still lacking. In this study, we combined Golgi staining with angiography and synchrotron radiation micro-computed tomography (SRμCT) to visualize the 3D neurovascular network in the mouse spinal cord. Using our method, the 3D neurons, nerve fibers, and vasculature in a broad region could be visualized in the same image at cellular resolution without destructive sectioning. Besides, we found that the 3D morphology of neurons, nerve fiber tracts, and vasculature visualized by SRμCT were highly consistent with that visualized using the histological method. Moreover, the 3D neurovascular structure could be quantitatively evaluated by the combined methodology. The method shown here will be useful in fundamental neuroscience studies.
Collapse
|
5
|
Gazzeri R, Telera S, Galarza M, Callovini GM, Isabella S, Alfieri A. Surgical treatment of intramedullary spinal cord metastases: functional outcome and complications-a multicenter study. Neurosurg Rev 2021; 44:3267-3275. [PMID: 33564982 DOI: 10.1007/s10143-021-01491-8] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Revised: 01/19/2021] [Accepted: 01/28/2021] [Indexed: 11/24/2022]
Abstract
Intramedullary spinal cord metastasis (ISCM) is a rare event in the course of advanced malignancy. Management of these lesions remains controversial. Recently, surgery for ISCM has been advocated for selected patients. We performed a retrospective analysis of the clinical course, complications, and outcome of 30 patients surgically treated for ISCM. Patients' age, histopathological diagnoses of primary cancer, tumor size, spinal location, and extramedullary tumor dissemination were collected. Preoperative functional status, pre- and postoperative neurological status, and extent of the tumor resection were also analyzed. Predominant tumor location was thoracic, followed by cervical and conus medullaris. Lung cancer constituted the majority of primary malignancies. In 9 cases, one of the indications for spinal surgery was to obtain a histopathological diagnosis. On admission, all patients presented with neurological symptoms suggestive of myelopathy. After surgery, 18 patients exhibited improvement of symptoms in terms of pain relief and partial recovery of motor and/or sensory deficits; 6 patients were unchanged, while 6 patients exhibited postoperative deterioration. Median survival time after surgery was 9.9 months. Age > 70 years old, presence of systemic metastases, preoperative neurological non functional status, and lung cancer as primary tumor were all factors associated with a worse survival prognosis. This study did not show a clear survival difference between gross total and subtotal ISCM tumor resection. Patients who underwent gross total resection had a worse functional outcome with respect to patients with only partial resection. Gross total resection with low morbidity must be the surgical target, but when not possible, subtotal resection and adjuvant therapy are a valid therapeutic option.
Collapse
Affiliation(s)
- Roberto Gazzeri
- Department of Neurosurgery, San Giovanni-Addolorata Hospital, Rome, Italy. .,Department of Neurosurgery, IRCCS Istituto Nazionale Tumori "Regina Elena", Rome, Italy.
| | - Stefano Telera
- Department of Neurosurgery, IRCCS Istituto Nazionale Tumori "Regina Elena", Rome, Italy
| | - Marcelo Galarza
- Regional Service of Neurosurgery, "Virgen de la Arrixaca" University Hospital, Murcia, Spain
| | | | - Sperduti Isabella
- Department of Biostatistics, IRCCS Istituto Nazionale Tumori "Regina Elena", Rome, Italy
| | - Alex Alfieri
- Neurosurgery, Cantonal Hospital Winterthur, Winterthur, Switzerland.,Neurosurgery, Faculty of Health Sciences, Joint Faculty of the Brandenburg University of Technology Cottbus - Senftenberg, the Brandenburg Medical School Theodor Fontane and the University of Potsdam, Potsdam, Germany
| |
Collapse
|
6
|
Weng Z, Ma L, Li J, Zhou Q, Peng L, Li H, Chen L, Xin Z, Shi L, Qi S, Lu Y. A reproduceable in situ xenograft model of spinal glioma. J Neurosci Methods 2020; 346:108928. [PMID: 32898574 DOI: 10.1016/j.jneumeth.2020.108928] [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: 04/30/2020] [Revised: 08/30/2020] [Accepted: 08/31/2020] [Indexed: 10/23/2022]
Abstract
BACKGROUND Spinal glioma is a nervous system tumor that tends to relapse and has no specific prognostic molecular biomarkers. Thus, a stable and reproduceable animal research model of spinal glioma is urgently needed. NEW METHOD We established a new in situ tumor xenograft model of spinal glioma using nude mice. In this study, we implanted tumors into the cervical spinal cord of nude mice to mimic the pathological characteristics of the original tumors. RESULTS Through anatomical experiments, we found that the cervical lamina of mice was thinner, the intervertebral space was much wider, and the adhesion muscles were more easily separated. According to the examination of spinal cord sections, the best puncture point we identified was located 0.9 mm lateral to the posterior median line at the level of the line between the midpoints of the scapulae and at a depth of 0.9 mm. In the nude mouse xenograft experiment, the implanted tumor tissue retained the pathological characteristics of the original tumor. COMPARISON WITH EXISTING METHOD(S) This model used the cervical spinal cord as the puncture site and patient-derived primary tumor cells, which has never been performed before. Tumor cells could be injected directly without damaging the lamina. Thus, we could reduce the risk of man-made spinal cord injury and infection and avoid destroying the stability and integrity of the spine. CONCLUSIONS This study established a stable and reliable animal model of spinal glioma for further molecular research and targeted therapy development.
Collapse
Affiliation(s)
- Zhijian Weng
- Department of Neurosurgery, Nanfang Hospital Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, 510515, China; Nanfang Neurology Research Institution, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, 510515, China; Department of Neurosurgery, Zhuhai People's Hospital (Zhuhai Hospital Affiliated With Jinan University), Zhuhai, 519000, China
| | - Liyi Ma
- Department of Neurosurgery, Nanfang Hospital Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, 510515, China; Nanfang Neurology Research Institution, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, 510515, China
| | - Junjie Li
- Department of Neurosurgery, Nanfang Hospital Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, 510515, China; Nanfang Neurology Research Institution, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, 510515, China
| | - Qiang Zhou
- Department of Neurosurgery, Nanfang Hospital Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, 510515, China
| | - Lin Peng
- Department of Neurosurgery, Nanfang Hospital Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, 510515, China; Nanfang Neurology Research Institution, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, 510515, China
| | - Hong Li
- Nanfang Neurology Research Institution, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, 510515, China
| | - Lei Chen
- Department of Neurosurgery, Nanfang Hospital Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, 510515, China; Nanfang Neurology Research Institution, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, 510515, China
| | - Zong Xin
- Department of Neurosurgery, Nanfang Hospital Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, 510515, China; Nanfang Neurology Research Institution, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, 510515, China
| | - Linyong Shi
- Department of Neurosurgery, Nanfang Hospital Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, 510515, China; Nanfang Neurology Research Institution, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, 510515, China
| | - Songtao Qi
- Department of Neurosurgery, Nanfang Hospital Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, 510515, China; Nanfang Neurology Research Institution, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, 510515, China; Nanfang Glioma Center, 1838 North Guangzhou Avenue, Guangzhou, 510515, China.
| | - Yuntao Lu
- Department of Neurosurgery, Nanfang Hospital Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, 510515, China; Nanfang Neurology Research Institution, Nanfang Hospital, Southern Medical University, 1838 North Guangzhou Avenue, Guangzhou, 510515, China; Nanfang Glioma Center, 1838 North Guangzhou Avenue, Guangzhou, 510515, China.
| |
Collapse
|