Research map: Machine learning based on preoperative CT for noninvasive prediction of recurrence-free survival in gastrointestinal stromal tumors
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Papers in this map
Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
· Hugo J.W.L. Aerts · 2014 · 5293 citations · Cited by this paper
Preoperative dual-ROI mpMRI radiomics integrating intratumoral and periprostatic adipose tissue features with clinical factors for predicting positive surgical margins after radical prostatectomy
· 2026 · Related
Gastrointestinal Stromal Tumors: Review on Morphology, Molecular Pathology, Prognosis, and Differential Diagnosis
· Markku Miettinen · 2006 · 1466 citations · Cited by this paper
Microstructure mapping with time-dependent diffusion MRI differentiates primary central nervous system lymphoma from glioblastoma
· 2026 · Related
Risk stratification of patients diagnosed with gastrointestinal stromal tumor
· Heikki Joensuu · 2008 · 1248 citations · Cited by this paper
MRI features outperform histologic grade for outcome prediction in translocation-driven enriched soft-tissue sarcoma
· 2026 · Related
Risk of recurrence of gastrointestinal stromal tumour after surgery: an analysis of pooled population-based cohorts
· Heikki Joensuu · 2011 · 1019 citations · Cited by this paper
Node-RADS in cervical cancer: a multi-reader agreement and diagnostic performance study
· 2026 · Related
Gastrointestinal stromal tumours: ESMO–EURACAN–GENTURIS Clinical Practice Guidelines for diagnosis, treatment and follow-up
· Paolo Giovanni Casali · 2021 · 610 citations · Cited by this paper
Baseline and interim 18F-FDG PET/CT imaging in outcome prediction in adult patients with Hodgkins lymphoma
· 2026 · Related
Gastrointestinal stromal tumours
· Jean‐Yves Blay · 2021 · 468 citations · Cited by this paper
Magnetic resonance biomarkers in detection and characterisation of ovarian cancer: is magnetic resonance spectroscopy ready for clinical use?
· 2026 · Related
The Rise of Radiomics and Implications for Oncologic Management
· Vivek Verma · 2017 · 144 citations · Cited by this paper
Dynamic nomogram for predicting axillary lymph node metastasis in breast cancer based on MRI analysis and the platelet-to-lymphocyte ratio (PLR)
· 2026 · Related
English version of Japanese Clinical Practice Guidelines 2022 for gastrointestinal stromal tumor (GIST) issued by the Japan Society of Clinical Oncology
· Seiichi Hirota · 2024 · 64 citations · Cited by this paper
Habitat-based imaging and peritumoral radiomics on ultrasound images for predicting lymphovascular invasion in breast invasive ductal carcinoma: a two-center study
· 2026 · Related
Incidence and Survival Outcomes of Gastrointestinal Stromal Tumors
· Christian S. Álvarez · 2024 · 52 citations · Cited by this paper
Quantitative assessment of tumor burden in multiple myeloma using MY-RADS from whole-body MRI: comparison with established prognostic biomarkers
· 2026 · Related
From Images to Genes: Radiogenomics Based on Artificial Intelligence to Achieve Non‐Invasive Precision Medicine in Cancer Patients
· Yusheng Guo · 2024 · 43 citations · Cited by this paper
Update on Gastrointestinal Stromal Tumors for Radiologists
· Sree Harsha Tirumani · 2017 · 39 citations · Cited by this paper
Assessment of morphological CT imaging features for the prediction of risk stratification, mutations, and prognosis of gastrointestinal stromal tumors
· Roberto Cannella · 2021 · 34 citations · Cited by this paper
Prediction of recurrence-free survival and adjuvant therapy benefit in patients with gastrointestinal stromal tumors based on radiomics features
· Fu-Hai Wang · 2022 · 32 citations · Cited by this paper
What a Radiologist Needs to Know About Radiomics, Standardization, and Reproducibility
· Merel Huisman · 2024 · 28 citations · Cited by this paper
Molecular Targeted Therapy in Modern Oncology: Imaging Assessment of Treatment Response and Toxicities
· Katherine Maragaret Krajewski · 2017 · 27 citations · Cited by this paper
An interpretable AI model for recurrence prediction after surgery in gastrointestinal stromal tumour: an observational cohort study
· Dimitris Bertsimas · 2023 · 24 citations · Cited by this paper
A new nomogram for recurrence-free survival prediction of gastrointestinal stromal tumors: Comparison with current risk classification methods
· Tao Chen · 2018 · 22 citations · Cited by this paper
Development and interpretation of a multimodal predictive model for prognosis of gastrointestinal stromal tumor
· XianHao Xiao · 2024 · 16 citations · Cited by this paper
Development of a Malignancy Potential Binary Prediction Model Based on Deep Learning for the Mitotic Count of Local Primary Gastrointestinal Stromal Tumors
· Jiejin Yang · 2020 · 15 citations · Cited by this paper
Interpretable machine learning model based on CT semantic features and radiomics features to preoperatively predict Ki-67 expression in gastrointestinal stromal tumors
· Yating Wang · 2024 · 9 citations · Cited by this paper
The gist of surgical margins in GIST: a narrative review
· Ferdinando Cananzi · 2021 · 8 citations · Cited by this paper
Diagnostic accuracy of radiomics in risk stratification of gastrointestinal stromal tumors: A systematic review and meta-analysis
· Mohsen Salimi · 2025 · 6 citations · Cited by this paper
True Mitotic Count Prediction in Gastrointestinal Stromal Tumors: Bayesian Network Model and PROMETheus (Preoperative Mitosis Estimator Tool) Application Development
· Salvatore Lorenzo Renne · 2024 · 4 citations · Cited by this paper
Development and validation of a preoperative CT-based risk score integrating morphological and body composition parameters to predict recurrence-free survival in gastric cancer patients following curative surgery
· Ruochen Cong · 2025 · 2 citations · Cited by this paper
Trends and Financial Burden of Gastrointestinal Stromal Tumors in the United States: A Comprehensive Analysis of United States Hospitalizations
· Sneh Sonaiya · 2025 · 2 citations · Cited by this paper
Imatinib in advanced GIST: if it's working, don’t stop a good thing
· Ryan A. Denu · 2024 · 1 citation · Cited by this paper
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