Radiomics and Radiogenomics in Differentiating Progression, Pseudoprogression, and Radiation Necrosis in Gliomas
Over recent decades, significant advancements have been made in the treatment and imaging of gliomas. Conventional imaging techniques, such as MRI and CT, play critical roles in glioma diagnosis and treatment but often fail to distinguish between tumor pseudoprogression (Psp) and radiation necrosis...
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2025-07-01
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| author | Sohil Reddy Tyler Lung Shashank Muniyappa Christine Hadley Benjamin Templeton Joel Fritz Daniel Boulter Keshav Shah Raj Singh Simeng Zhu Jennifer K. Matsui Joshua D. Palmer |
| author_facet | Sohil Reddy Tyler Lung Shashank Muniyappa Christine Hadley Benjamin Templeton Joel Fritz Daniel Boulter Keshav Shah Raj Singh Simeng Zhu Jennifer K. Matsui Joshua D. Palmer |
| author_sort | Sohil Reddy |
| collection | DOAJ |
| description | Over recent decades, significant advancements have been made in the treatment and imaging of gliomas. Conventional imaging techniques, such as MRI and CT, play critical roles in glioma diagnosis and treatment but often fail to distinguish between tumor pseudoprogression (Psp) and radiation necrosis (RN) versus true progression (TP). Emerging fields like radiomics and radiogenomics are addressing these challenges by extracting quantitative features from medical images and correlating them with genomic data, respectively. This article will discuss several studies that show how radiomic features (RFs) can aid in better patient stratification and prognosis. Radiogenomics, particularly in predicting biomarkers such as <i>MGMT</i> promoter methylation and <i>1p/19q</i> codeletion, shows potential in non-invasive diagnostics. Radiomics also offers tools for predicting tumor recurrence (rBT), essential for treatment management. Further research is needed to standardize these methods and integrate them into clinical practice. This review underscores radiomics and radiogenomics’ potential to revolutionize glioma management, marking a significant shift towards precision neuro-oncology. |
| format | Article |
| id | doaj-art-e35e986e978b4511922e2438c5831381 |
| institution | Kabale University |
| issn | 2227-9059 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Biomedicines |
| spelling | doaj-art-e35e986e978b4511922e2438c58313812025-08-20T04:00:50ZengMDPI AGBiomedicines2227-90592025-07-01137177810.3390/biomedicines13071778Radiomics and Radiogenomics in Differentiating Progression, Pseudoprogression, and Radiation Necrosis in GliomasSohil Reddy0Tyler Lung1Shashank Muniyappa2Christine Hadley3Benjamin Templeton4Joel Fritz5Daniel Boulter6Keshav Shah7Raj Singh8Simeng Zhu9Jennifer K. Matsui10Joshua D. Palmer11College of Medicine, The Ohio State University, Columbus, OH 43210, USACollege of Medicine, The Ohio State University, Columbus, OH 43210, USACollege of Medicine, The Ohio State University, Columbus, OH 43210, USACollege of Medicine, The Ohio State University, Columbus, OH 43210, USACollege of Medicine, The Ohio State University, Columbus, OH 43210, USADepartment of Radiology, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USADepartment of Radiology, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USACollege of Public Health, The Ohio State University, Columbus, OH 43210, USADepartment of Radiation Oncology, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USADepartment of Radiation Oncology, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USADepartment of Radiation Oncology, Stanford Medicine, Stanford, CA 94305, USADepartment of Radiation Oncology, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USAOver recent decades, significant advancements have been made in the treatment and imaging of gliomas. Conventional imaging techniques, such as MRI and CT, play critical roles in glioma diagnosis and treatment but often fail to distinguish between tumor pseudoprogression (Psp) and radiation necrosis (RN) versus true progression (TP). Emerging fields like radiomics and radiogenomics are addressing these challenges by extracting quantitative features from medical images and correlating them with genomic data, respectively. This article will discuss several studies that show how radiomic features (RFs) can aid in better patient stratification and prognosis. Radiogenomics, particularly in predicting biomarkers such as <i>MGMT</i> promoter methylation and <i>1p/19q</i> codeletion, shows potential in non-invasive diagnostics. Radiomics also offers tools for predicting tumor recurrence (rBT), essential for treatment management. Further research is needed to standardize these methods and integrate them into clinical practice. This review underscores radiomics and radiogenomics’ potential to revolutionize glioma management, marking a significant shift towards precision neuro-oncology.https://www.mdpi.com/2227-9059/13/7/1778gliomaglioblastomaradiomicsradiogenomicspseudoprogressionradiation necrosis |
| spellingShingle | Sohil Reddy Tyler Lung Shashank Muniyappa Christine Hadley Benjamin Templeton Joel Fritz Daniel Boulter Keshav Shah Raj Singh Simeng Zhu Jennifer K. Matsui Joshua D. Palmer Radiomics and Radiogenomics in Differentiating Progression, Pseudoprogression, and Radiation Necrosis in Gliomas Biomedicines glioma glioblastoma radiomics radiogenomics pseudoprogression radiation necrosis |
| title | Radiomics and Radiogenomics in Differentiating Progression, Pseudoprogression, and Radiation Necrosis in Gliomas |
| title_full | Radiomics and Radiogenomics in Differentiating Progression, Pseudoprogression, and Radiation Necrosis in Gliomas |
| title_fullStr | Radiomics and Radiogenomics in Differentiating Progression, Pseudoprogression, and Radiation Necrosis in Gliomas |
| title_full_unstemmed | Radiomics and Radiogenomics in Differentiating Progression, Pseudoprogression, and Radiation Necrosis in Gliomas |
| title_short | Radiomics and Radiogenomics in Differentiating Progression, Pseudoprogression, and Radiation Necrosis in Gliomas |
| title_sort | radiomics and radiogenomics in differentiating progression pseudoprogression and radiation necrosis in gliomas |
| topic | glioma glioblastoma radiomics radiogenomics pseudoprogression radiation necrosis |
| url | https://www.mdpi.com/2227-9059/13/7/1778 |
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