CT texture analysis: definitions, applications, biologic correlates, and challenges

MG Lubner, AD Smith, K Sandrasegaran, DV Sahani… - Radiographics, 2017 - pubs.rsna.org
This review discusses potential oncologic and nononcologic applications of CT texture
analysis (CTTA CT texture analysis), an emerging area of “radiomics” that extracts, analyzes …

Cancer overdiagnosis: a biological challenge and clinical dilemma

S Srivastava, EJ Koay, AD Borowsky… - Nature Reviews …, 2019 - nature.com
For cancer screening to be successful, it should primarily detect cancers with lethal potential
or their precursors early, leading to therapy that reduces mortality and morbidity. Screening …

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 …

[HTML][HTML] Artificial intelligence and early detection of pancreatic cancer: 2020 summative review

B Kenner, ST Chari, D Kelsen, DS Klimstra, SJ Pandol… - Pancreas, 2021 - journals.lww.com
Despite considerable research efforts, pancreatic cancer is associated with a dire prognosis
and a 5-year survival rate of only 10%. Early symptoms of the disease are mostly …

Lung and pancreatic tumor characterization in the deep learning era: novel supervised and unsupervised learning approaches

S Hussein, P Kandel, CW Bolan… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
Risk stratification (characterization) of tumors from radiology images can be more accurate
and faster with computer-aided diagnosis (CAD) tools. Tumor characterization through such …

[HTML][HTML] Tracking tumor biology with radiomics: a systematic review utilizing a radiomics quality score

S Sanduleanu, HC Woodruff, EEC De Jong… - Radiotherapy and …, 2018 - Elsevier
Introduction: In this review we describe recent developments in the field of radiomics along
with current relevant literature linking it to tumor biology. We furthermore explore the …

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 …

[HTML][HTML] Differentiating autoimmune pancreatitis from pancreatic ductal adenocarcinoma with CT radiomics features

S Park, LC Chu, RH Hruban, B Vogelstein… - Diagnostic and …, 2020 - Elsevier
Purpose The purpose of this study was to determine whether computed tomography (CT)-
based machine learning of radiomics features could help distinguish autoimmune …