{"title":"小细胞和非小细胞肺癌脑转移的磁共振成像特征:回顾性研究。","authors":"Daniela Pomohaci, Emilia Adriana Marciuc, Bogdan-Ionuț Dobrovăț, Mihaela-Roxana Popescu, Diana-Andreea Ilinca, Costin Chirica, Oriana-Maria Oniciuc Onicescu, Danisia Haba","doi":"10.25122/jml-2024-0411","DOIUrl":null,"url":null,"abstract":"<p><p>Brain metastases (BMs) from bronchopulmonary tumors are a major cause of morbidity and mortality and significantly reduce the quality of life in oncology patients. Their treatment depends on imaging features (size, number, location) and their genetic mutation subtype, small-cell lung cancer (SCLC) or non-small cell lung cancer (NSCLC). In patients with SCLC, prophylactic whole-brain radiotherapy (WBRT) with hippocampal sparing (HS) is recommended, whereas in patients with NSCLC, systemic targeted therapy is preferred. Multiple studies have analyzed the MRI morphology of BMs from both SCLC and NSCLC to identify specific imaging characteristics that can guide the selection of appropriate treatment. However, data on lung cancer (LC) brain metastases in patients from Romania are scarce or nonexistent. Our purpose was to investigate the imaging features of both NSCLC and SCLC BMs in our population using conventional MRI protocols. We selected patients from our hospital between 2019 and 2023 who had a histopathological diagnosis of LC BMs and underwent complete MRI exams prior to any radiotherapy or surgical treatment. For every MRI feature, we created both numerical and categorical variables, which were further studied using univariate, bivariate, and multivariate analyses, as well as a machine learning algorithm. We found 62 patients (49 men, 79.03% and 13 women, 20.96%) with confirmed LC BMs, of which 53 (85.49%) had NSCLC and 7 (11.29%) had SCLC. The sites affected were the cerebral hemisphere (56.46%), the cerebellum (40.32%), and the deep nuclei (6.45%), with the latter affecting relatively younger patients (<i>P</i> = 0.01), most notably in the case of thalamic situs (<i>P</i> = 0.0001). The SCLC subgroup showed a <i>P</i> value of 0.025 for the number of lesions, indicating diffuse spread. The AI algorithm identified positive and negative imaging diagnostic prediction variables, including internal vascularization and the number of lesions, respectively, as well as cystic lesions and internal hemorrhage. Further multicentric studies are needed to unravel the MRI features of LC BMs.</p>","PeriodicalId":16386,"journal":{"name":"Journal of Medicine and Life","volume":"18 6","pages":"563-574"},"PeriodicalIF":0.0000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12314843/pdf/","citationCount":"0","resultStr":"{\"title\":\"Magnetic resonance imaging characteristics of small cell and non-small cell lung cancer brain metastases: a retrospective study.\",\"authors\":\"Daniela Pomohaci, Emilia Adriana Marciuc, Bogdan-Ionuț Dobrovăț, Mihaela-Roxana Popescu, Diana-Andreea Ilinca, Costin Chirica, Oriana-Maria Oniciuc Onicescu, Danisia Haba\",\"doi\":\"10.25122/jml-2024-0411\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Brain metastases (BMs) from bronchopulmonary tumors are a major cause of morbidity and mortality and significantly reduce the quality of life in oncology patients. Their treatment depends on imaging features (size, number, location) and their genetic mutation subtype, small-cell lung cancer (SCLC) or non-small cell lung cancer (NSCLC). In patients with SCLC, prophylactic whole-brain radiotherapy (WBRT) with hippocampal sparing (HS) is recommended, whereas in patients with NSCLC, systemic targeted therapy is preferred. Multiple studies have analyzed the MRI morphology of BMs from both SCLC and NSCLC to identify specific imaging characteristics that can guide the selection of appropriate treatment. However, data on lung cancer (LC) brain metastases in patients from Romania are scarce or nonexistent. Our purpose was to investigate the imaging features of both NSCLC and SCLC BMs in our population using conventional MRI protocols. We selected patients from our hospital between 2019 and 2023 who had a histopathological diagnosis of LC BMs and underwent complete MRI exams prior to any radiotherapy or surgical treatment. For every MRI feature, we created both numerical and categorical variables, which were further studied using univariate, bivariate, and multivariate analyses, as well as a machine learning algorithm. We found 62 patients (49 men, 79.03% and 13 women, 20.96%) with confirmed LC BMs, of which 53 (85.49%) had NSCLC and 7 (11.29%) had SCLC. The sites affected were the cerebral hemisphere (56.46%), the cerebellum (40.32%), and the deep nuclei (6.45%), with the latter affecting relatively younger patients (<i>P</i> = 0.01), most notably in the case of thalamic situs (<i>P</i> = 0.0001). The SCLC subgroup showed a <i>P</i> value of 0.025 for the number of lesions, indicating diffuse spread. The AI algorithm identified positive and negative imaging diagnostic prediction variables, including internal vascularization and the number of lesions, respectively, as well as cystic lesions and internal hemorrhage. Further multicentric studies are needed to unravel the MRI features of LC BMs.</p>\",\"PeriodicalId\":16386,\"journal\":{\"name\":\"Journal of Medicine and Life\",\"volume\":\"18 6\",\"pages\":\"563-574\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12314843/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Medicine and Life\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.25122/jml-2024-0411\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Medicine and Life","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25122/jml-2024-0411","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
Magnetic resonance imaging characteristics of small cell and non-small cell lung cancer brain metastases: a retrospective study.
Brain metastases (BMs) from bronchopulmonary tumors are a major cause of morbidity and mortality and significantly reduce the quality of life in oncology patients. Their treatment depends on imaging features (size, number, location) and their genetic mutation subtype, small-cell lung cancer (SCLC) or non-small cell lung cancer (NSCLC). In patients with SCLC, prophylactic whole-brain radiotherapy (WBRT) with hippocampal sparing (HS) is recommended, whereas in patients with NSCLC, systemic targeted therapy is preferred. Multiple studies have analyzed the MRI morphology of BMs from both SCLC and NSCLC to identify specific imaging characteristics that can guide the selection of appropriate treatment. However, data on lung cancer (LC) brain metastases in patients from Romania are scarce or nonexistent. Our purpose was to investigate the imaging features of both NSCLC and SCLC BMs in our population using conventional MRI protocols. We selected patients from our hospital between 2019 and 2023 who had a histopathological diagnosis of LC BMs and underwent complete MRI exams prior to any radiotherapy or surgical treatment. For every MRI feature, we created both numerical and categorical variables, which were further studied using univariate, bivariate, and multivariate analyses, as well as a machine learning algorithm. We found 62 patients (49 men, 79.03% and 13 women, 20.96%) with confirmed LC BMs, of which 53 (85.49%) had NSCLC and 7 (11.29%) had SCLC. The sites affected were the cerebral hemisphere (56.46%), the cerebellum (40.32%), and the deep nuclei (6.45%), with the latter affecting relatively younger patients (P = 0.01), most notably in the case of thalamic situs (P = 0.0001). The SCLC subgroup showed a P value of 0.025 for the number of lesions, indicating diffuse spread. The AI algorithm identified positive and negative imaging diagnostic prediction variables, including internal vascularization and the number of lesions, respectively, as well as cystic lesions and internal hemorrhage. Further multicentric studies are needed to unravel the MRI features of LC BMs.
期刊介绍:
The Journal of Medicine and Life publishes peer-reviewed articles from various fields of medicine and life sciences, including original research, systematic reviews, special reports, case presentations, major medical breakthroughs and letters to the editor. The Journal focuses on current matters that lie at the intersection of biomedical science and clinical practice and strives to present this information to inform health care delivery and improve patient outcomes. Papers addressing topics such as neuroprotection, neurorehabilitation, neuroplasticity, and neuroregeneration are particularly encouraged, as part of the Journal''s continuous interest in neuroscience research. The Editorial Board of the Journal of Medicine and Life is open to consider manuscripts from all levels of research and areas of biological sciences, including fundamental, experimental or clinical research and matters of public health. As part of our pledge to promote an educational and community-building environment, our issues feature sections designated to informing our readers regarding exciting international congresses, teaching courses and relevant institutional-level events.