Image Analysis as tool for Predicting Colorectal Cancer Molecular Alterations: A Scoping Review
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| Yayımlandı: | Molecular Imaging and Radionuclide Therapy vol. 34, no. 1 (Feb 2025), p. 10 |
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| Diğer Yazarlar: | , , , , , |
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Galenos Publishing House
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| Online Erişim: | Citation/Abstract Full Text Full Text - PDF |
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| LEADER | 00000nab a2200000uu 4500 | ||
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| 001 | 3198797684 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2146-1414 | ||
| 022 | |a 2147-1959 | ||
| 024 | 7 | |a 10.4274/mirt.galenos.2024.86402 |2 doi | |
| 035 | |a 3198797684 | ||
| 045 | 2 | |b d20250201 |b d20250228 | |
| 084 | |a 182640 |2 nlm | ||
| 100 | 1 | |a Mohammadpour, Saman | |
| 245 | 1 | |a Image Analysis as tool for Predicting Colorectal Cancer Molecular Alterations: A Scoping Review | |
| 260 | |b Galenos Publishing House |c Feb 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a ObjectivesAmong the most important diagnostic indicators of colorectal cancer; however, measuring molecular alterations are invasive and expensive. This study aimed to investigate the application of image processing to predict molecular alterations in colorectal cancer.MethodsIn this scoping review, we searched for relevant literature by searching the Web of Science, Scopus, and PubMed databases. The method of selecting the articles and reporting the findings was according to the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses; moreover, the Strengthening the Reporting of Observational Studies in Epidemiology checklist was used to assess the quality of the studies.ResultsSixty seven out of 2,223 articles, 67 were relevant to the aim of the study, and finally 41 studies with sufficient quality were reviewed. The prediction of Kirsten Rat Sarcoma Viral Oncogene Homolog (KRAS), Neuroblastoma RAS Viral (NRAS), B-Raf proto-oncogene, serine/threonine kinase (BRAF), Tumor Protein 53 (TP53), Adenomatous Polyposis Coli, and microsatellite instability (MSI) with the help of image analysis has received more attention than other molecular characteristics. The studies used computed tomography (CT), magnetic resonance imaging (MRI), and 18F-FDG positron emission tomography (PET)/CT with radionics and quantitative analysis to predict molecular alterations in colorectal cancer, analyzing features like texture, maximum standard uptake value, and MTV using various statistical methods. In 39 studies, there was a significant relationship between the features extracted from these images and molecular alterations. Different modalities were used to measure the area under the receiver operating characteristic curve for predicting the alterations in KRAS, MSI, BRAF, and TP53, with an average of 78, 81, 80 and 71%, respectively.ConclusionThis scoping review underscores the potential of radiogenomics in predicting molecular alterations in colorectal cancer through non-invasive imaging modalities, like CT, MRI, and 18F-FDG PET/CT. The analysis of 41 studies showed the appropriate prediction of key alterations, such as KRAS, NRAS, BRAF, TP53, and MSI, highlighting the promise of radionics and texture features in enhancing predictive accuracy. | |
| 653 | |a p53 Protein | ||
| 653 | |a Feature extraction | ||
| 653 | |a Sarcoma | ||
| 653 | |a Tomography | ||
| 653 | |a Histopathology | ||
| 653 | |a Magnetic resonance imaging | ||
| 653 | |a Microsatellite instability | ||
| 653 | |a Epidemiology | ||
| 653 | |a Protein-serine/threonine kinase | ||
| 653 | |a Oncogenes | ||
| 653 | |a Mutation | ||
| 653 | |a Medical imaging | ||
| 653 | |a K-Ras protein | ||
| 653 | |a Neuroblastoma | ||
| 653 | |a Raf protein | ||
| 653 | |a Image processing | ||
| 653 | |a Colorectal cancer | ||
| 653 | |a Statistical methods | ||
| 653 | |a Positron emission tomography | ||
| 653 | |a Kinases | ||
| 653 | |a Statistical analysis | ||
| 653 | |a Image analysis | ||
| 653 | |a Computed tomography | ||
| 653 | |a Cancer | ||
| 653 | |a Positron emission | ||
| 653 | |a Fluorine isotopes | ||
| 653 | |a Medical research | ||
| 653 | |a Colorectal carcinoma | ||
| 653 | |a Polyposis coli | ||
| 653 | |a Systematic review | ||
| 653 | |a Texture | ||
| 653 | |a Observational studies | ||
| 653 | |a Invasiveness | ||
| 700 | 1 | |a Emami, Hassan | |
| 700 | 1 | |a Rabiei, Reza | |
| 700 | 1 | |a Hosseini, Azamossadat | |
| 700 | 1 | |a Moghaddasi, Hamid | |
| 700 | 1 | |a Faeghi, Fariborz | |
| 700 | 1 | |a Bagherzadeh, Rafat | |
| 773 | 0 | |t Molecular Imaging and Radionuclide Therapy |g vol. 34, no. 1 (Feb 2025), p. 10 | |
| 786 | 0 | |d ProQuest |t Health & Medical Collection | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3198797684/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/3198797684/fulltext/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3198797684/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch |