CT and MRI of pancreatic tumors: an update in the era of radiomics

CT-Radiomic Approach to Predict G1/2 Nonfunctional Pancreatic Neuroendocrine Tumor

(2020) Zengrui Zhao et al.   ACADEMIC RADIOLOGY

Computed tomography features of acinar cell carcinoma of the pancreas

(2020) M. Barat et al.   Diagnostic and Interventional Imaging

Performance of CT-based radiomics in diagnosis of superior mesenteric vein resection margin in patients with pancreatic head cancer

(2020) Yun Bian et al.   Abdominal Radiology

Pancreatic neuroendocrine tumors (pNETs): the predictive value of MDCT characteristics in the differentiation of histopathological grades

(2020) Faeze Salahshour et al.   Abdominal Radiology

Pitfalls in the MDCT of pancreatic cancer: strategies for minimizing errors

(2020) Arya Haj-Mirzaian et al.   Abdominal Radiology

Noncontrast Radiomics Approach for Predicting Grades of Nonfunctional Pancreatic Neuroendocrine Tumors

(2020) Yun Bian et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

Differentiating autoimmune pancreatitis from pancreatic ductal adenocarcinoma with CT radiomics features

(2020) S. Park et al.   Diagnostic and Interventional Imaging

Diagnostic performance of commercially available vs. in-house radiomics software in classification of CT images from patients with pancreatic ductal adenocarcinoma vs. healthy controls

(2020) Linda C. Chu et al.   Abdominal Radiology

CT-Based Radiomics Score for Distinguishing Between Grade 1 and Grade 2 Nonfunctioning Pancreatic Neuroendocrine Tumors

(2020) Yun Bian et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Morphological imaging and CT histogram analysis to differentiate pancreatic neuroendocrine tumor grade 3 from neuroendocrine carcinoma

(2020) A. Azoulay et al.   Diagnostic and Interventional Imaging

Usefulness of texture analysis for grading pancreatic neuroendocrine tumors on contrast-enhanced computed tomography and apparent diffusion coefficient maps

(2020) Kazuyoshi Ohki et al.   JAPANESE JOURNAL OF RADIOLOGY

Pearls and pitfalls of imaging features of pancreatic cystic lesions: a case-based approach with imaging–pathologic correlation

(2020) Kumi Ozaki et al.   JAPANESE JOURNAL OF RADIOLOGY

Magnetic resonance imaging radiomic analysis can preoperatively predict G1 and G2/3 grades in patients with NF-pNETs

(2020) Yun Bian et al.   Abdominal Radiology

Pancreatic Cancer Imaging: A New Look at an Old Problem

(2020) Linda C. Chu et al.   Current Problems in Diagnostic Radiology

Computed tomography based radiomic signature as predictive of survival and local control after stereotactic body radiation therapy in pancreatic carcinoma

(2019) Luca Cozzi et al.   PLoS One

Differentiation of pancreatic neuroendocrine tumors from pancreas renal cell carcinoma metastases on CT using qualitative and quantitative features

(2019) Christian B. van der Pol et al.   Abdominal Radiology

MR imaging features of pancreatic acinar cell carcinoma

(2019) D. Jornet et al.   Diagnostic and Interventional Imaging

Pancreatic neuroendocrine tumor: prediction of the tumor grade using magnetic resonance imaging findings and texture analysis with 3-T magnetic resonance

(2019) Chuan-gen Guo et al.   Cancer Management and Research

Computer-Aided Diagnosis of Pancreas Serous Cystic Neoplasms: A Radiomics Method on Preoperative MDCT Images

(2019) Ran Wei et al.   TECHNOLOGY IN CANCER RESEARCH & TREATMENT

Gray-level discretization impacts reproducible MRI radiomics texture features

(2019) Loïc Duron et al.   PLoS One

Utility of CT Radiomics Features in Differentiation of Pancreatic Ductal Adenocarcinoma From Normal Pancreatic Tissue

(2019) Linda C. Chu et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Unresectable pancreatic ductal adenocarcinoma: Role of CT quantitative imaging biomarkers for predicting outcomes of patients treated with chemotherapy

(2019) Si-Hang Cheng et al.   EUROPEAN JOURNAL OF RADIOLOGY

Image-based biomarkers for solid tumor quantification

(2019) Peter Savadjiev et al.   EUROPEAN RADIOLOGY

Intra peritoneal abdominal fat area measured from computed tomography is an independent factor of severe acute pancreatitis

(2019) C. Madico et al.   Diagnostic and Interventional Imaging

CT radiomics may predict the grade of pancreatic neuroendocrine tumors: a multicenter study

(2019) Dongsheng Gu et al.   EUROPEAN RADIOLOGY

Early evaluation using a radiomic signature of unresectable hepatic metastases to predict outcome in patients with colorectal cancer treated with FOLFIRI and bevacizumab

(2019) Anthony Dohan et al.   GUT

Abdominal multi-organ segmentation with organ-attention networks and statistical fusion

(2019) Yan Wang et al.   MEDICAL IMAGE ANALYSIS

Performance of deep learning for differentiating pancreatic diseases on contrast-enhanced magnetic resonance imaging: A preliminary study

(2019) X. Gao et al.   Diagnostic and Interventional Imaging

Annotated normal CT data of the abdomen for deep learning: Challenges and strategies for implementation

(2019) S. Park et al.   Diagnostic and Interventional Imaging

CT radiomics associations with genotype and stromal content in pancreatic ductal adenocarcinoma

(2019) Marc A. Attiyeh et al.   Abdominal Radiology

Discrimination of Pancreatic Serous Cystadenomas From Mucinous Cystadenomas With CT Textural Features: Based on Machine Learning

(2019) Jing Yang et al.   Frontiers in Oncology

MRI Texture Analysis for Differentiating Nonfunctional Pancreatic Neuroendocrine Neoplasms From Solid Pseudopapillary Neoplasms of the Pancreas

(2019) Xudong Li et al.   ACADEMIC RADIOLOGY

Automated pancreas segmentation from computed tomography and magnetic resonance images: A systematic review

(2019) Haribalan Kumar et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Radiomic feature reproducibility in contrast-enhanced CT of the pancreas is affected by variabilities in scan parameters and manual segmentation

(2019) Rikiya Yamashita et al.   EUROPEAN RADIOLOGY

Application of Deep Learning to Pancreatic Cancer Detection: Lessons Learned From Our Initial Experience

(2019) Linda C. Chu et al.   Journal of the American College of Radiology

18F-FDG PET/CT in pancreatic adenocarcinoma: A role at initial imaging staging?

(2019) M. Wartski et al.   Diagnostic and Interventional Imaging

Relationship Between Radiomics and Risk of Lymph Node Metastasis in Pancreatic Ductal Adenocarcinoma

(2019) Yun Bian et al.   PANCREAS

Preoperative CT texture features predict prognosis after curative resection in pancreatic cancer

(2019) Hyung Sun Kim et al.   Scientific Reports

Deep lessons learned: Radiology, oncology, pathology, and computer science experts unite around artificial intelligence to strive for earlier pancreatic cancer diagnosis

(2019) E.M. Weisberg et al.   Diagnostic and Interventional Imaging

Evaluation of Texture Analysis for the Differential Diagnosis of Mass-Forming Pancreatitis From Pancreatic Ductal Adenocarcinoma on Contrast-Enhanced CT Images

(2019) Shuai Ren et al.   Frontiers in Oncology

Radiomics in stratification of pancreatic cystic lesions: Machine learning in action

(2019) Vipin Dalal et al.   CANCER LETTERS

Surgical management of pancreatic neuroendocrine tumors: an introduction

(2019) Elisabeth Hain et al.   Expert Review of Anticancer Therapy

Development of a Novel Multiparametric MRI Radiomic Nomogram for Preoperative Evaluation of Early Recurrence in Resectable Pancreatic Cancer

(2019) Tian‐Yu Tang et al.   JOURNAL OF MAGNETIC RESONANCE IMAGING

18F-FDG PET/CT in pancreatic adenocarcinoma: On the edge of a paradigm shift?

(2019) L.-J. Palmieri et al.   Diagnostic and Interventional Imaging

Prediction of Pancreatic Neuroendocrine Tumor Grade Based on CT Features and Texture Analysis

(2018) Rodrigo Canellas et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

Survival Prediction in Pancreatic Ductal Adenocarcinoma by Quantitative Computed Tomography Image Analysis

(2018) Marc A. Attiyeh et al.   ANNALS OF SURGICAL ONCOLOGY

Can histogram analysis of MR images predict aggressiveness in pancreatic neuroendocrine tumors?

(2018) Riccardo De Robertis et al.   EUROPEAN RADIOLOGY

CT prediction of resectability and prognosis in patients with pancreatic ductal adenocarcinoma after neoadjuvant treatment using image findings and texture analysis

(2018) Bo Ram Kim et al.   EUROPEAN RADIOLOGY

Quantifying the robustness of [ 18 F]FDG-PET/CT radiomic features with respect to tumor delineation in head and neck and pancreatic cancer patients

(2018) Maria Luisa Belli et al.   Physica Medica-European Journal of Medical Physics

Pancreatic Adenocarcinoma Staging in the Era of Preoperative Chemotherapy and Radiation Therapy

(2018) Marc Zins et al.   RADIOLOGY

Tumor heterogeneity of pancreas head cancer assessed by CT texture analysis: association with survival outcomes after curative resection

(2018) Gabin Yun et al.   Scientific Reports

Thoughts on entering correlated imaging variables into a multivariable model: Application to radiomics and texture analysis

(2018) E. Matzner-Lober et al.   Diagnostic and Interventional Imaging

Predicting prognosis of resected hepatocellular carcinoma by radiomics analysis with random survival forest

(2018) H. Akai et al.   Diagnostic and Interventional Imaging

Role of diffusion-weighted MR imaging in predicting the grade of nonfunctional pancreatic neuroendocrine tumors

(2018) F. Kulali et al.   Diagnostic and Interventional Imaging

MRI of pancreatic ductal adenocarcinoma: texture analysis of T2-weighted images for predicting long-term outcome

(2018) Moon Hyung Choi et al.   Abdominal Radiology

Two-dimensional Texture Analysis Based on CT Images to Differentiate Pancreatic Lymphoma and Pancreatic Adenocarcinoma: A Preliminary Study

(2018) Zixing Huang et al.   ACADEMIC RADIOLOGY

Differentiation of intrapancreatic accessory spleen from small hypervascular neuroendocrine tumor of the pancreas: textural analysis on contrast-enhanced computed tomography

(2018) Xubo Lin et al.   ACTA RADIOLOGICA

CT Texture Analysis of Ductal Adenocarcinoma Downstaged After Chemotherapy

(2018) VALENTINA CIARAVINO et al.   ANTICANCER RESEARCH

CT texture analysis of pancreatic cancer

(2018) Kumar Sandrasegaran et al.   EUROPEAN RADIOLOGY

CT radiomics to predict high-risk intraductal papillary mucinous neoplasms of the pancreas

(2018) Jayasree Chakraborty et al.   MEDICAL PHYSICS

Preoperative risk prediction for intraductal papillary mucinous neoplasms by quantitative CT image analysis

(2018) Marc A. Attiyeh et al.   HPB

Differentiation of atypical pancreatic neuroendocrine tumors from pancreatic ductal adenocarcinomas: Using whole-tumor CT texture analysis as quantitative biomarkers

(2018) Jiali Li et al.   Cancer Medicine

Textural analysis on contrast-enhanced CT in pancreatic neuroendocrine neoplasms: association with WHO grade

(2018) Chuangen Guo et al.   Abdominal Radiology

Assessing Chemotherapeutic Response in Pancreatic Ductal Adenocarcinoma: Histogram Analysis of Iodine Concentration and CT Number in Single-Source Dual-Energy CT

(2018) Yoshifumi Noda et al.   AMERICAN JOURNAL OF ROENTGENOLOGY

A Combined Nomogram Model to Preoperatively Predict Histologic Grade in Pancreatic Neuroendocrine Tumors

(2018) Wenjie Liang et al.   CLINICAL CANCER RESEARCH

Ct radiomic features of pancreatic neuroendocrine neoplasms (panNEN) are robust against delineation uncertainty

(2018) Martina Mori et al.   Physica Medica-European Journal of Medical Physics

The differentiation of pancreatic neuroendocrine carcinoma from pancreatic ductal adenocarcinoma: the values of CT imaging features and texture analysis

(2018) Chuangen Guo et al.   CANCER IMAGING

Ovarian cancer: An update on imaging in the era of radiomics

(2018) S. Nougaret et al.   Diagnostic and Interventional Imaging

Resectable pancreatic adenocarcinoma: Role of CT quantitative imaging biomarkers for predicting pathology and patient outcomes

(2017) Christophe Cassinotto et al.   EUROPEAN JOURNAL OF RADIOLOGY

Radiomics: the bridge between medical imaging and personalized medicine

(2017) Philippe Lambin et al.   Nature Reviews Clinical Oncology

ENETS Consensus Guidelines for the Standards of Care in Neuroendocrine Tumors: Pathology - Diagnosis and Prognostic Stratification

(2017) Aurel Perren et al.   NEUROENDOCRINOLOGY

Revisions of international consensus Fukuoka guidelines for the management of IPMN of the pancreas

(2017) Masao Tanaka et al.   PANCREATOLOGY

CT Texture Analysis: Definitions, Applications, Biologic Correlates, and Challenges

(2017) Meghan G. Lubner et al.   RADIOGRAPHICS

CT texture features are associated with overall survival in pancreatic ductal adenocarcinoma – a quantitative analysis

(2017) Armin Eilaghi et al.   BMC MEDICAL IMAGING

Assessment of treatment response during chemoradiation therapy for pancreatic cancer based on quantitative radiomic analysis of daily CTs: An exploratory study

(2017) Xiaojian Chen et al.   PLoS One

Preliminary study of tumor heterogeneity in imaging predicts two year survival in pancreatic cancer patients

(2017) Jayasree Chakraborty et al.   PLoS One

CT Imaging Biomarkers Predict Clinical Outcomes After Pancreatic Cancer Surgery

(2016) Liang Zhu et al.   MEDICINE

Radiomics: Images Are More than Pictures, They Are Data

(2016) Robert J. Gillies et al.   RADIOLOGY

Combining radiomic features with a miRNA classifier may improve prediction of malignant pathology for pancreatic intraductal papillary mucinous neoplasms

(2016) Jennifer B. Permuth et al.   Oncotarget

Quantitative imaging to evaluate malignant potential of IPMNs

(2016) Alexander N. Hanania et al.   Oncotarget

Utility of whole-lesion ADC histogram metrics for assessing the malignant potential of pancreatic intraductal papillary mucinous neoplasms (IPMNs)

(2016) David H. Hoffman et al.   Abdominal Radiology

Pancreatic neuroendocrine tumors: correlation between histogram analysis of apparent diffusion coefficient maps and tumor grade

(2015) Jose Antonio Sousa Pereira et al.   ABDOMINAL IMAGING

The High-grade (WHO G3) Pancreatic Neuroendocrine Tumor Category Is Morphologically and Biologically Heterogenous and Includes Both Well Differentiated and Poorly Differentiated Neoplasms

(2015) Olca Basturk et al.   AMERICAN JOURNAL OF SURGICAL PATHOLOGY

Differentiation between pancreatic metastases from renal cell carcinoma and hypervascular neuroendocrine tumour: Use of relative percentage washout value and its clinical implication

(2015) Tae Wook Kang et al.   EUROPEAN JOURNAL OF RADIOLOGY

Diffusion-weighted MR Imaging of the Pancreas: Current Status and Recommendations

(2015) Matthias Barral et al.   RADIOLOGY

Neuroendocrine neoplasms of the pancreas at dynamic enhanced CT: comparison between grade 3 neuroendocrine carcinoma and grade 1/2 neuroendocrine tumour

(2014) Dong Wook Kim et al.   EUROPEAN RADIOLOGY

Reproducibility and Prognosis of Quantitative Features Extracted from CT Images

(2014) Yoganand Balagurunathan et al.   Translational Oncology

An evaluation of the accuracy of CT when determining resectability of pancreatic head adenocarcinoma after neoadjuvant treatment

(2013) Christophe Cassinotto et al.   EUROPEAN JOURNAL OF RADIOLOGY

International consensus guidelines 2012 for the management of IPMN and MCN of the pancreas

(2013) Masao Tanaka et al.   PANCREATOLOGY

Characterization of focal pancreatic lesions using normalized apparent diffusion coefficient at 1.5-Tesla: Preliminary experience

(2013) M. Barral et al.   Diagnostic and Interventional Imaging

Clinical usefulness of diffusion-weighted MR imaging for detection of pancreatic cancer: comparison with enhanced multidetector-row CT

(2011) Kazuki Takakura et al.   ABDOMINAL IMAGING

Intrapancreatic accessory spleen: CT appearance and differential diagnosis

(2011) Satomi Kawamoto et al.   Abdominal Radiology

Neoadjuvant therapy may lead to successful surgical resection and improved survival in patients with borderline resectable pancreatic cancer

(2010) Rebecca J. McClaine et al.   HPB