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Wang X, Zhao L, Wang S, Zhao X, Chen L, Sun X, Liu Y, Liu J, Sun S. Utility of contrast-enhanced MRI radiomics features combined with clinical indicators for predicting induction chemotherapy response in primary central nervous system lymphoma. J Neurooncol 2024; 166:451-460. [PMID: 38308802 DOI: 10.1007/s11060-023-04554-6] [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: 11/27/2023] [Accepted: 12/23/2023] [Indexed: 02/05/2024]
Abstract
PURPOSE To assess the utility of combining contrast-enhanced magnetic resonance imaging (CE-MRI) radiomics features with clinical variables in predicting the response to induction chemotherapy (IC) for primary central nervous system lymphoma (PCNSL). METHODS A total of 131 patients with PCNSL (101 in the training set and 30 in the testing set) who had undergone contrast-enhanced MRI scans were retrospectively analyzed. Pyradiomics was utilized to extract radiomics features, and the clinical variables of the patients were gathered. Radiomics prediction models were developed using different combinations of feature selection methods and machine learning models, and the best combination was ultimately chosen. We screened clinical variables associated with treatment outcomes and developed clinical prediction models. The predictive performance of radiomics model, clinical model, and combined model, which integrates the best radiomics model and clinical characteristics, was independently assessed and compared using Receiver Operating Characteristic (ROC) curves. RESULTS In total, we extracted 1598 features. The best radiomics model we selected as the best utilized T-test and Recursive Feature Elimination (RFE) for feature selection and logistic regression for model building. Serum Interleukin 2 Receptor (IL-2R) and Eastern Cooperative Oncology Group (ECOG) Score were utilized to develop a clinical predictive model for assessing the response to induction chemotherapy. The results of the testing set revealed that the combined prediction model (radiomics and IL-2R) achieved the highest area under the ROC curve at 0.868 (0.683, 0.967), followed by the radiomics model at 0.857 (0.681, 0.957), and the clinical prediction model (IL-2R and ECOG) at 0.618 (0.413, 0.797). The combined model was significantly more accurate than the clinical model, with an AUC of 0.868 compared to 0.618 (P < 0.05). While the radiomics model had slightly better predictive power than the clinical model, this difference was not statistically significant (AUC, 0.857 vs. 0.618, P > 0.05). CONCLUSIONS Our prediction model, which combines radiomics signatures from CE-MRI with serum IL-2R, can effectively stratify patients with PCNSL before high-dose methotrexate (HD-MTX) -based chemotherapy.
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Affiliation(s)
- Xiaochen Wang
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Neuroradiology, Beijing Neurosurgical Institute, Beijing, China
| | - Litao Zhao
- School of Engineering Medicine, Beihang University, Beijing, China
- Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology of China, Beijing, China
- School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Sihui Wang
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xuening Zhao
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Lingxu Chen
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xuefei Sun
- Department of Hematology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yuanbo Liu
- Department of Hematology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Jiangang Liu
- School of Engineering Medicine, Beihang University, Beijing, China.
- Key Laboratory of Big Data-Based Precision Medicine (Beihang University), Ministry of Industry and Information Technology of China, Beijing, China.
- Beijing Engineering Research Center of Cardiovascular Wisdom Diagnosis and Treatment, Beijing, China.
| | - Shengjun Sun
- Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
- Department of Neuroradiology, Beijing Neurosurgical Institute, Beijing, China.
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Liu J, Wang H, Li X, Wu Y, Ma Y, Gu Z, Li F, Li M, Guo J, Zhao Y, Wang Q, Bo J, Huang W, Dou L, Liu Y, Liu D, Wu X, Gao C. Impact of Autologous Stem Cell Transplantation on Primary Central Nervous System Lymphoma in First-Line and Relapse Settings: A Retrospective Study in China. Ann Transplant 2023; 28:e938467. [PMID: 36593744 PMCID: PMC9825020 DOI: 10.12659/aot.938467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Myeloablative chemotherapy supported by autologous stem cell transplantation (ASCT) is an option for primary central nervous system lymphoma (PCNSL) in both the relapse setting and as postremission consolidation, but the level of evidence in this field is still low. MATERIAL AND METHODS We retrospectively analyzed 47 HIV-negative PCNSL patients from 2010 to 2021. To assess the outcomes in patients undergoing ASCT. RESULTS Of the 47 patients, the median age was 51 (range, 21-77) years, and 28 (59.6%) were male. After induction, 33 (70.2%) patients achieved complete remission, and 6 (12.8%) patients achieved partial remission. At a median follow-up of 21.4 months (95% CI 8.86-33.95), the median progression-free survival (PFS) was 23.3 months (95% CI 14.87-31.73), and the 4-year PFS rate was 14.6%. The median overall survival (OS) time was 62.4 months (95% CI 41.93-82.87), and the 4-year OS rate was 71.5%. Among 20 patients who received ASCT (10 consolidation, 10 salvage), the 4-year PFS and 4-year OS rates were 57.3% and 71.2%, respectively. In the multivariate analysis, ASCT therapy (hazard ratio [HR] 0.16, P=0.016) and early remission (HR 0.12, p=0.003) were found to be independent prognostic factors for a longer PFS. Two treatment-related deaths occurred in patients with multiple relapses before ASCT. Pancytopenia and diarrhea were the most common adverse events. CONCLUSIONS ASCT offers potential long-term PFS with good tolerability for patients with PCNSL. Our retrospective cohort adds to the currently available literature and identifies disease status after induction as a significant factor affecting survival.
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Affiliation(s)
- Jing Liu
- Department of Hematology, The Fifth Medical Center of Chinese People’s Liberation Army (PLA) General Hospital, Beijing, PR China
| | - Haitao Wang
- Department of Hematology, The Fifth Medical Center of Chinese People’s Liberation Army (PLA) General Hospital, Beijing, PR China
| | - Xiaohong Li
- Department of Hematology, The Fifth Medical Center of Chinese People’s Liberation Army (PLA) General Hospital, Beijing, PR China
| | - Yamei Wu
- Department of Hematology, The Fifth Medical Center of Chinese People’s Liberation Army (PLA) General Hospital, Beijing, PR China
| | - Yuanyuan Ma
- Department of Hematology, The Fifth Medical Center of Chinese People’s Liberation Army (PLA) General Hospital, Beijing, PR China
| | - Zhenyang Gu
- Department of Hematology, The Fifth Medical Center of Chinese People’s Liberation Army (PLA) General Hospital, Beijing, PR China
| | - Fei Li
- Department of Hematology, The Fifth Medical Center of Chinese People’s Liberation Army (PLA) General Hospital, Beijing, PR China
| | - Meng Li
- Department of Hematology, The Fifth Medical Center of Chinese People’s Liberation Army (PLA) General Hospital, Beijing, PR China
| | - Jiayuan Guo
- Department of Hematology, School of Medicine, Nankai University, Tianjin, PR China
| | - Yu Zhao
- Department of Hematology, The Fifth Medical Center of Chinese People’s Liberation Army (PLA) General Hospital, Beijing, PR China
| | - Quanshun Wang
- Department of Hematology, The Fifth Medical Center of Chinese People’s Liberation Army (PLA) General Hospital, Beijing, PR China
| | - Jian Bo
- Department of Hematology, The Fifth Medical Center of Chinese People’s Liberation Army (PLA) General Hospital, Beijing, PR China
| | - Wenrong Huang
- Department of Hematology, The Fifth Medical Center of Chinese People’s Liberation Army (PLA) General Hospital, Beijing, PR China
| | - Liping Dou
- Department of Hematology, The Fifth Medical Center of Chinese People’s Liberation Army (PLA) General Hospital, Beijing, PR China
| | - Yuanbo Liu
- Department of Hematology, Beijing Tiantan Hospital, Capital Medical University, Beijing, PR China
| | - Daihong Liu
- Department of Hematology, The Fifth Medical Center of Chinese People’s Liberation Army (PLA) General Hospital, Beijing, PR China
| | - Xiaoxiong Wu
- Department of Hematology, The Fifth Medical Center of Chinese People’s Liberation Army (PLA) General Hospital, Beijing, PR China
| | - Chunji Gao
- Department of Hematology, The Fifth Medical Center of Chinese People’s Liberation Army (PLA) General Hospital, Beijing, PR China
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Chen T, Liu Y, Wang Y, Chang Q, Wu J, Wang Z, Geng D, Yu JT, Li Y, Li XQ, Chen H, Zhuang D, Li J, Wang B, Jiang T, Lyu L, Song Y, Qiu X, Li W, Lin S, Zhang X, Lu D, Lei J, Chen Y, Mao Y. Evidence-based expert consensus on the management of primary central nervous system lymphoma in China. J Hematol Oncol 2022; 15:136. [PMID: 36176002 PMCID: PMC9524012 DOI: 10.1186/s13045-022-01356-7] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 09/19/2022] [Indexed: 12/13/2024] Open
Abstract
Primary central nervous system lymphoma (PCNSL) is a type of central nervous system restricted non-Hodgkin lymphoma, whose histopathological diagnosis is majorly large B cell lymphoma. To provide specific, evidence-based recommendations for medical professionals and to promote more standardized, effective and safe treatment for patients with PCNSL, a panel of experts from the Chinese Neurosurgical Society of the Chinese Medical Association and the Society of Hematological Malignancies of the Chinese Anti-Cancer Association jointly developed an evidence-based consensus. After comprehensively searching literature and conducting systematic reviews, two rounds of Delphi were conducted to reach consensus on the recommendations as follows: The histopathological specimens of PCNSL patients should be obtained as safely and comprehensively as possible by multimodal tomography-guided biopsy or minimally invasive surgery. Corticosteroids should be withdrawn from, or not be administered to, patients with suspected PCNSL before biopsy if the patient's status permits. MRI (enhanced and DWI) should be performed for diagnosing and evaluating PCNSL patients where whole-body PET-CT be used at necessary time points. Mini-mental status examination can be used to assess cognitive function in the clinical management. Newly diagnosed PCNSL patients should be treated with combined high-dose methotrexate-based regimen and can be treated with a rituximab-inclusive regimen at induction therapy. Autologous stem cell transplantation can be used as a consolidation therapy. Refractory or relapsed PCNSL patients can be treated with ibrutinib with or without high-dose chemotherapy as re-induction therapy. Stereotactic radiosurgery can be used for PCNSL patients with a limited recurrent lesion who were refractory to chemotherapy and have previously received whole-brain radiotherapy. Patients with suspected primary vitreoretinal lymphoma (PVRL) should be diagnosed by vitreous biopsy. PVRL or PCNSL patients with concurrent VRL can be treated with combined systemic and local therapy.
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Affiliation(s)
- Tong Chen
- Department of Hematology, Institute of Medicine, Huashan Hospital, Fudan University, Shanghai, 200040, China.
| | - Yuanbo Liu
- Department of Hematology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Yang Wang
- Department of Radiation Oncology, Huashan Hospital, Fudan University, Shanghai, 201107, China.,National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Qing Chang
- Department of Ophthalmology, Eye and ENT Hospital, Fudan University, Shanghai, 200031, China
| | - Jinsong Wu
- Department of Neurosurgery, National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, 200040, China.,Institute of Medicine, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Zhiliang Wang
- Department of Ophthalmology, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Daoying Geng
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Jin-Tai Yu
- Department of Neurology, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Yuan Li
- Department of Radiology, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Xiao-Qiu Li
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
| | - Hong Chen
- Department of Pathology, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Dongxiao Zhuang
- Department of Neurosurgery, National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Jianyong Li
- Department of Hematology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, China
| | - Bin Wang
- Department of Pharmacy, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Tao Jiang
- Department of Neurosurgery, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Lanting Lyu
- School of Public Administration and Policy, Health Technology Assessment and Policy Evaluation Group, Renmin University of China, Beijing, 100872, China
| | - Yuqin Song
- Department of Lymphoma, Peking University Cancer Hospital and Institute, Beijing, 100142, China
| | - Xiaoguang Qiu
- Department of Radiation Oncology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Wenbin Li
- Department of Neuro-Oncolgoy, Cancer Center, National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Song Lin
- Department of Neurosurgery, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Xinghu Zhang
- Department of Neurology, Neuroimmunology and Neuroinfection Center, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100070, China
| | - Dehong Lu
- Department of Pathology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Junqiang Lei
- Department of Radiology, The First Hospital of Lanzhou University, Lanzhou, 730000, China
| | - Yaolong Chen
- Research Unit of Evidence-Based Evaluation and Guidelines, Chinese Academy of Medical Sciences (2021RU017), School of Basic Medical Sciences, Lanzhou University, Lanzhou, 730000, China. .,WHO Collaborating Center for Guideline Implementation and Knowledge Translation, Lanzhou University, Lanzhou, 730000, China. .,Lanzhou University GRADE Center, Lanzhou, 730000, China.
| | - Ying Mao
- Department of Neurosurgery, National Center for Neurological Disorders, Huashan Hospital, Fudan University, Shanghai, 200040, China. .,Institute of Medicine, Huashan Hospital, Fudan University, Shanghai, 200040, China.
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