Diagnosis and detection of pancreatic cancer

LC Chu, MG Goggins, EK Fishman - The Cancer Journal, 2017 - journals.lww.com
Computed tomography is the first-line imaging modality for suspected pancreatic cancer.
Magnetic resonance cholangiopancreatography is a second-line modality for suspected …

Pancreatic adenocarcinoma staging in the era of preoperative chemotherapy and radiation therapy

M Zins, C Matos, C Cassinotto - Radiology, 2018 - pubs.rsna.org
Pancreatic ductal adenocarcinoma (PDA) remains among the most challenging
malignancies to treat. At diagnosis, the tumor often already extends beyond the confines of …

Utility of CT radiomics features in differentiation of pancreatic ductal adenocarcinoma from normal pancreatic tissue

LC Chu, S Park, S Kawamoto… - American Journal of …, 2019 - Am Roentgen Ray Soc
OBJECTIVE. The objective of our study was to determine the utility of radiomics features in
differentiating CT cases of pancreatic ductal adenocarcinoma (PDAC) from normal …

Using quantitative imaging for personalized medicine in pancreatic cancer: a review of radiomics and deep learning applications

K Preuss, N Thach, X Liang, M Baine, J Chen, C Zhang… - Cancers, 2022 - mdpi.com
Simple Summary With a five-year survival rate of only 3% for the majority of patients,
pancreatic cancer is a global healthcare challenge. Radiomics and deep learning, two novel …

Pancreas image mining: a systematic review of radiomics

BM Abunahel, B Pontre, H Kumar, MS Petrov - European radiology, 2021 - Springer
Objectives To systematically review published studies on the use of radiomics of the
pancreas. Methods The search was conducted in the MEDLINE database. Human studies …

Computed tomography-based radiomics approach in pancreatic tumors characterization

G Karmazanovsky, I Gruzdev, V Tikhonova… - La radiologia …, 2021 - Springer
Radiomics (or texture analysis) is a new imaging analysis technique that allows calculating
the distribution of texture features of pixel and voxel values depend on the type of ROI (3D or …

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

V Dalal, J Carmicheal, A Dhaliwal, M Jain, S Kaur… - Cancer letters, 2020 - Elsevier
Pancreatic cystic lesions (PCLs) are well-known precursors of pancreatic cancer. Their
diagnosis can be challenging as their behavior varies from benign to malignant disease …

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

G Yun, YH Kim, YJ Lee, B Kim, JH Hwang, DJ Choi - Scientific reports, 2018 - nature.com
The value of image based texture features as a powerful method to predict prognosis and
assist clinical management in cancer patients has been established recently. However …

Liver metastases in pancreatic ductal adenocarcinoma: A predictive model based on CT texture analysis

R De Robertis, L Geraci, L Tomaiuolo, L Bortoli… - La radiologia …, 2022 - Springer
Purpose To develop a predictive model for liver metastases in patients with pancreatic
ductal adenocarcinoma (PDAC) based on textural features of the primary tumor extracted by …

Pancreatic ductal adenocarcinoma: a radiomics nomogram outperforms clinical model and TNM staging for survival estimation after curative resection

T **e, X Wang, M Li, T Tong, X Yu, Z Zhou - European Radiology, 2020 - Springer
Objectives To identify a CT-based radiomics nomogram for survival prediction in patients
with resected pancreatic ductal adenocarcinoma (PDAC). Methods A total of 220 patients …