Evaluation of risk classifications for gastrointestinal stromal tumor using multi-parameter Magnetic Resonance analysis
| Autor: | Defeng Liu, Tao Zheng, Qinglei Shi, Zhanqiu Wang, Xiaohan Wang, Shuo Wu, Lanxiang Liu, Juan Du, Yanchao Dong, Linsha Yang |
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| Rok vydání: | 2020 |
| Předmět: |
medicine.medical_specialty
Magnetic Resonance Spectroscopy Gastrointestinal Stromal Tumors Urology Malignancy Sensitivity and Specificity 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Internal medicine medicine Humans Effective diffusion coefficient Radiology Nuclear Medicine and imaging Stromal tumor neoplasms Retrospective Studies Radiological and Ultrasound Technology medicine.diagnostic_test GiST business.industry Gastroenterology Soft tissue Magnetic resonance imaging Retrospective cohort study Hepatology medicine.disease Magnetic Resonance Imaging digestive system diseases Diffusion Magnetic Resonance Imaging 030220 oncology & carcinogenesis Radiology business |
| Zdroj: | Abdominal Radiology. 46:1506-1518 |
| ISSN: | 2366-0058 2366-004X |
| DOI: | 10.1007/s00261-020-02813-y |
| Popis: | Gastrointestinal stromal tumor (GIST) is the most common mesenchymal malignancy of the gastrointestinal tract. At present, it is generally believed that the prognosis of GIST is closely related to its risk classification. It may add value to correctly diagnose and evaluate the risk of invasion using a noninvasive imaging examination prior to surgery. MRI has the advantages of multiple parameters and high soft tissue resolution, which may be the potential method to preoperatively evaluate the risk of GIST. To retrospectively evaluate the diagnostic accuracy of multi-parameter MR analysis for preoperative risk classification of GIST. In this 6-year retrospective study, full MRI examination was performed on all 60 GIST cases confirmed classified by pathology, including 35 cases of very low-to-low-risk GIST and 25 cases of intermediate-to-high-risk GIST. Dynamic contrast-enhanced T1- and T2-weighted images, and apparent diffusion coefficient (ADC) maps were reviewed independently by two radiologists blinded to pathologic results. Volume, ADC ratio, three wash-in indexes (WII) were calculated and compared using t-test or Kruskal–Wallis nonparametric test. Sensitivity and specificity analyses were performed to calculate diagnostic accuracy using ROC analyses. Differences were considered significant at p |
| Databáze: | OpenAIRE |
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