Prediction of the mitotic index and preoperative risk stratification of gastrointestinal stromal tumors with CT radiomic features

[1]  Hidetaka Yamamoto,et al.  Auxiliary diagnosis of subepithelial lesions by impedance measurement during endoscopic ultrasound guided fine-needle biopsy. , 2022, Gastrointestinal Endoscopy.

[2]  Jianwen Xie,et al.  Prediction of recurrence-free survival and adjuvant therapy benefit in patients with gastrointestinal stromal tumors based on radiomics features , 2022, La radiologia medica.

[3]  Bu-Lang Gao,et al.  Malignancy risk of gastrointestinal stromal tumors evaluated with noninvasive radiomics: A multi-center study , 2022, Frontiers in Oncology.

[4]  G. Ferrandina,et al.  Radiomics-based prediction of two-year clinical outcome in locally advanced cervical cancer patients undergoing neoadjuvant chemoradiotherapy , 2022, La radiologia medica.

[5]  Andri Papakonstantinou,et al.  Diagnosing gastrointestinal stromal tumors: The utility of fine‐needle aspiration cytology versus biopsy , 2022, Cancer medicine.

[6]  L. Messerini,et al.  Correlation of CT radiomic features for GISTs with pathological classification and molecular subtypes: preliminary and monocentric experience , 2022, La radiologia medica.

[7]  Ying Wei,et al.  Preoperative CT-Based Deep Learning Model for Predicting Risk Stratification in Patients With Gastrointestinal Stromal Tumors , 2021, Frontiers in Oncology.

[8]  Minhong Wang,et al.  CT Radiomics for the Preoperative Prediction of Ki67 Index in Gastrointestinal Stromal Tumors: A Multi-Center Study , 2021, Frontiers in Oncology.

[9]  S. Sleijfer,et al.  Gastrointestinal stromal tumours: ESMO-EURACAN-GENTURIS Clinical Practice Guidelines for diagnosis, treatment and follow-up. , 2021, Annals of oncology : official journal of the European Society for Medical Oncology.

[10]  A. Yuille,et al.  CT Radiomics-Based Preoperative Survival Prediction in Patients With Pancreatic Ductal Adenocarcinoma. , 2021, AJR. American journal of roentgenology.

[11]  A. Goldberg,et al.  Mitotic count of fine needle aspiration material of gastrointestinal stromal tumours of the stomach underestimates actual mitotic count , 2021, Cytopathology : official journal of the British Society for Clinical Cytology.

[12]  Oi Lei Wong,et al.  Radiomics feature reliability assessed by intraclass correlation coefficient: a systematic review. , 2021, Quantitative imaging in medicine and surgery.

[13]  Minhong Wang,et al.  Computed-Tomography-Based Radiomics Model for Predicting the Malignant Potential of Gastrointestinal Stromal Tumors Preoperatively: A Multi-Classifier and Multicenter Study , 2021, Frontiers in Oncology.

[14]  L. Meza-Zepeda,et al.  Integrating Anatomical, Molecular and Clinical Risk Factors in Gastrointestinal Stromal Tumor of the Stomach , 2021, Annals of Surgical Oncology.

[15]  K. Marqueen,et al.  Neoadjuvant therapy for gastrointestinal stromal tumors: A propensity score‐weighted analysis , 2021, International journal of cancer.

[16]  A. Marx,et al.  Preservation of Organ Function in Locally Advanced Non-Metastatic Gastrointestinal Stromal Tumors (GIST) of the Stomach by Neoadjuvant Imatinib Therapy , 2021, Cancers.

[17]  L. Doyle,et al.  Updates from the 2020 World Health Organization Classification of Soft Tissue and Bone Tumours , 2021, Histopathology.

[18]  T. Niu,et al.  Integrating tumor and nodal radiomics to predict lymph node metastasis in gastric cancer. , 2020, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[19]  R. Steenbakkers,et al.  The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping. , 2020, Radiology.

[20]  S. Lemeshow,et al.  Assessing the goodness of fit of logistic regression models in large samples: A modification of the Hosmer‐Lemeshow test , 2020, Biometrics.

[21]  J. Ren,et al.  Computed tomography-based radiomics model for discriminating the risk stratification of gastrointestinal stromal tumors , 2020, La radiologia medica.

[22]  Jing Zhang,et al.  A clinical-radiomics nomogram for the preoperative prediction of lymph node metastasis in colorectal cancer , 2020, Journal of Translational Medicine.

[23]  G. Mantese.  Gastrointestinal stromal tumor: epidemiology, diagnosis, and treatment. , 2019, Current opinion in gastroenterology.

[24]  Jing Lei,et al.  CT radiomics nomogram for the preoperative prediction of lymph node metastasis in gastric cancer , 2019, European Radiology.

[25]  D. Dong,et al.  Building CT Radiomics-Based Models for Preoperatively Predicting Malignant Potential and Mitotic Count of Gastrointestinal Stromal Tumors , 2019, Translational oncology.

[26]  C. Raut,et al.  OTT_A_180763 5123..5133 , 2019 .

[27]  Dongsheng Gu,et al.  CT radiomics may predict the grade of pancreatic neuroendocrine tumors: a multicenter study , 2019, European Radiology.

[28]  Wenbing Lv,et al.  Radiomics Signature on Computed Tomography Imaging: Association With Lymph Node Metastasis in Patients With Gastric Cancer , 2019, Front. Oncol..

[29]  C. Raut,et al.  Defining Tumor Rupture in Gastrointestinal Stromal Tumor , 2019, Annals of Surgical Oncology.

[30]  J. Qiao,et al.  Gastrointestinal stromal tumors: a comprehensive review. , 2018, Journal of gastrointestinal oncology.

[31]  Wenbing Lv,et al.  Radiomics signature of computed tomography imaging for prediction of survival and chemotherapeutic benefits in gastric cancer , 2018, EBioMedicine.

[32]  N. Paragios,et al.  A radiomics approach to assess tumour-infiltrating CD8 cells and response to anti-PD-1 or anti-PD-L1 immunotherapy: an imaging biomarker, retrospective multicohort study. , 2018, The Lancet. Oncology.

[33]  T. Koga,et al.  Current clinical management of gastrointestinal stromal tumor , 2018, World journal of gastroenterology.

[34]  P. Parrilla,et al.  Clinical and pathological features of "small" GIST (≤2 cm). What is their prognostic value? , 2018, European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology.

[35]  V. Lemmens,et al.  Nationwide trends in the incidence and outcome of patients with gastrointestinal stromal tumour in the imatinib era , 2018, The British journal of surgery.

[36]  K. S. Hall,et al.  Recurrence-Free Survival After Resection of Gastric Gastrointestinal Stromal Tumors Classified According to a Strict Definition of Tumor Rupture: A Population-Based Study , 2018, Annals of Surgical Oncology.

[37]  Andriy Fedorov,et al.  Computational Radiomics System to Decode the Radiographic Phenotype. , 2017, Cancer research.

[38]  P. Lambin,et al.  Radiomics: the bridge between medical imaging and personalized medicine , 2017, Nature Reviews Clinical Oncology.

[39]  L. Shen,et al.  Chinese consensus guidelines for diagnosis and management of gastrointestinal stromal tumor , 2017, Chinese journal of cancer research = Chung-kuo yen cheng yen chiu.

[40]  C. Antonescu,et al.  Cytoreductive Surgery for Metastatic Gastrointestinal Stromal Tumors Treated With Tyrosine Kinase Inhibitors: A 2-institutional Analysis , 2017, Annals of surgery.

[41]  Stefan Leger,et al.  Image biomarker standardisation initiative version 1 . 4 , 2016, 1612.07003.

[42]  Huijun Hu,et al.  Predictive features of CT for risk stratifications in patients with primary gastrointestinal stromal tumour , 2016, European Radiology.

[43]  M. McCarter,et al.  Soft Tissue Sarcoma, Version 2.2018, NCCN Clinical Practice Guidelines in Oncology. , 2016, Journal of the National Comprehensive Cancer Network : JNCCN.

[44]  Matthias Schmid,et al.  Approaches to Regularized Regression – A Comparison between Gradient Boosting and the Lasso , 2016, Methods of Information in Medicine.

[45]  Heikki Joensuu,et al.  Gastrointestinal stromal tumour , 2013, The Lancet.

[46]  H. Joensuu.  Risk stratification of patients diagnosed with gastrointestinal stromal tumor. , 2008, Human pathology.

[47]  Matthew P. Goetz,et al.  NCCN CLINICAL PRACTICE GUIDELINES IN ONCOLOGY , 2019 .

[48]  Prateek Prasanna,et al.  Radiomics and radiogenomics in lung cancer: A review for the clinician. , 2018, Lung cancer.

[49]  Paul J. Perry,et al.  A Review for the Clinician , 2002 .