ArticleMagnetic resonance in medicine2018
Non-Gaussian diffusion imaging with a fractional order calculus model to predict response of gastrointestinal stromal tumor to second-line sunitinib therapy.
Article in Magnetic resonance in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Review of Technical Parameters for MR of the Small Bowel in non-IBD Conditions over the Last Ten Years.Scientific reports · 2019Pooled it
- A 3T Magnetic Resonance Fractional Order Calculus Model for the Diagnosis and Grading of Endometrial Cancer.Current medical imaging · 2026Article
- Radiomics models with baseline MRI and clinical data to predict target therapy response and high-risk mortality in metastatic GIST.Scientific reports · 2025Article
- Tissue classification from raw diffusion-weighted images using machine learning.Medical physics · 2025Article
- Advanced diffusion-weighted MRI models for preoperative prediction of lymph node metastasis in resectable gastric cancer.Abdominal radiology (New York) · 2025Article
- Histogram analysis of diffusion-weighted imaging with a fractional order calculus model in breast cancer: diagnostic performance and associations with prognostic factors.Frontiers in radiology · 2025Article
- Multiple diffusion models for predicting pathologic response of esophageal squamous cell carcinoma to neoadjuvant chemotherapy.Abdominal radiology (New York) · 2024Article
- Gastrointestinal stromal tumor of the duodenum presenting with shock and massive upper and lower gastrointestinal bleeding: a case report and review of the literature.Journal of medical case reports · 2024Review
- Multi-b-value DWI to evaluate the synergistic antiproliferation and anti-heterogeneity effects of bufalin plus sorafenib in an orthotopic HCC model.European radiology experimental · 2024Article
- Accelerating High b-Value Diffusion-Weighted MRI Using a Convolutional Recurrent Neural Network (CRNN-DWI).Bioengineering (Basel, Switzerland) · 2023Article
- Optimal selection of b-values for differential diagnosis of mediastinal lymph nodes using diffusion-weighted imaging.Heliyon · 2023Article
- Molecular and functional imaging in cancer-targeted therapy: current applications and future directions.Signal transduction and targeted therapy · 2023Review
- Evaluation of a fractional-order calculus diffusion model and bi-parametric VI-RADS for staging and grading bladder urothelial carcinoma.European radiology · 2022Article
- A comparison study of monoexponential and fractional order calculus diffusion models andFrontiers in oncology · 2022Article
- Cervical Carcinoma: Evaluation Using Diffusion MRI With a Fractional Order Calculus Model and its Correlation With Histopathologic Findings.Frontiers in oncology · 2022Article
- A case report of gastrointestinal stromal tumor of the duodenum.American journal of translational research · 2022Article
- In vivo assessment of Lauren classification for gastric adenocarcinoma using diffusion MRI with a fractional order calculus model.European radiology · 2021Article
- Differentiation of salivary gland tumor using diffusion-weighted imaging with a fractional order calculus model.The British journal of radiology · 2020Article
- High-Spatial-Resolution Diffusion MRI in Parkinson Disease: Lateral Asymmetry of the Substantia Nigra.Radiology · 2019Article
- Diffusion MRI of cancer: From low to high b-values.Journal of magnetic resonance imaging : JMRI · 2019Review
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Abstract
purposeTo demonstrate the clinical value of a non-Gaussian diffusion model using fractional order calculus (FROC) for early prediction of the response of gastrointestinal stromal tumor to second-line sunitinib targeted therapy.
methodsFifteen patients underwent sunitinib treatment after imatinib resistance. Diffusion-weighted imaging with multiple b-values was performed before treatment (baseline) and 2 weeks (for early prediction of response) after initiating sunitinib treatment. Conventional MRI images at 12 weeks were used to determine the good and poor responders according to the modified Choi criteria for MRI. Diffusion coefficient D, fractional order parameter β (which correlates to intravoxel tissue heterogeneity), and a microstructural quantity µ were calculated using the FROC model. The FROC parameters and the longest diameter of the lesion, as well as their changes after 2 weeks of treatment, were compared between the good and poor responders. Additionally, the pretreatment FROC parameters were individually combined with the change in D (ΔD) using a logistic regression model to evaluate response to sunitinib treatment with a receiver operating characteristic analysis.
resultsForty-two good-responding and 32 poor-responding lesions were identified. Significant differences were detected in pretreatment β (0.67 versus 0.74, P = 0.011) and ΔD (45.7% versus 12.4%, P = 0.001) between the two groups. The receiver operating characteristic analysis showed that ΔD had a significantly higher predictive power than the tumor size change (area under the curve: 0.725 versus 0.580; 0.95 confidence interval). When ΔD was combined with pretreatment β, the area under the curve improved to 0.843 with a predictive accuracy of 75.7% (56 of 74).
conclusionsThe non-Gaussian FROC diffusion model showed clinical value in early prediction of gastrointestinal stromal tumor response to second-line sunitinib targeted therapy. The pretreatment FROC parameter β can increase the predictive accuracy when combined with the change in diffusion coefficient during treatment. Magn Reson Med 79:1399-1406, 2018. © 2017 International Society for Magnetic Resonance in Medicine.
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