Radiomics in nuclear medicine: robustness, reproducibility, standardization, and how to avoid data analysis traps and replication crisis

A Zwanenburg - European journal of nuclear medicine and molecular …, 2019 - Springer
Radiomics in nuclear medicine is rapidly expanding. Reproducibility of radiomics studies in
multicentre settings is an important criterion for clinical translation. We therefore performed a …

Dynamic whole-body PET imaging: principles, potentials and applications

A Rahmim, MA Lodge, NA Karakatsanis… - European journal of …, 2019 - Springer
Purpose In this article, we discuss dynamic whole-body (DWB) positron emission
tomography (PET) as an imaging tool with significant clinical potential, in relation to …

An investigation of quantitative accuracy for deep learning based denoising in oncological PET

W Lu, JA Onofrey, Y Lu, L Shi, T Ma… - Physics in Medicine & …, 2019 - iopscience.iop.org
Reducing radiation dose is important for PET imaging. However, reducing injection doses
causes increased image noise and low signal-to-noise ratio (SNR), subsequently affecting …

Abbreviated scan protocols to capture 18F-FDG kinetics for long axial FOV PET scanners

V Viswanath, H Sari, AR Pantel, M Conti… - European journal of …, 2022 - Springer
Purpose Kinetic parameters from dynamic 18F-fluorodeoxyglucose (FDG) imaging offer
complementary insights to the study of disease compared to static clinical imaging …

The QIBA profile for FDG PET/CT as an imaging biomarker measuring response to cancer therapy

PE Kinahan, ES Perlman, JJ Sunderland… - Radiology, 2020 - pubs.rsna.org
The Quantitative Imaging Biomarkers Alliance (QIBA) Profile for fluorodeoxyglucose (FDG)
PET/CT imaging was created by QIBA to both characterize and reduce the variability of …

Metabolic imaging with hyperpolarized 13C pyruvate magnetic resonance imaging in patients with renal tumors—Initial experience

S Tang, MV Meng, JB Slater, JW Gordon… - Cancer, 2021 - Wiley Online Library
BACKGROUND Optimal treatment selection for localized renal tumors is challenging
because of their variable biologic behavior and limitations in the preoperative assessment of …

Toward high-throughput artificial intelligence-based segmentation in oncological PET imaging

F Yousefirizi, AK Jha, J Brosch-Lenz, B Saboury… - PET clinics, 2021 - pet.theclinics.com
An array of artificial intelligence (AI) techniques in the field of medical imaging has emerged
in the past decade for automated image segmentation. 1 Medical image segmentation seeks …

Assessing immune organs on 18F-FDG PET/CT imaging for therapy monitoring of immune checkpoint inhibitors: inter-observer variability, prognostic value and …

K Prigent, C Lasnon, E Ezine, M Janson… - European journal of …, 2021 - Springer
Abstract Background Immune checkpoint inhibitors (ICIs) have significantly improved
survival in advanced melanoma. There is a need for robust biomarkers to identify patients …

Application of the Lugano classification for initial evaluation, staging, and response assessment of Hodgkin and non-Hodgkin lymphoma: the ProLog consensus …

F Ricard, B Cheson, S Barrington… - Journal of Nuclear …, 2023 - Soc Nuclear Med
Our objective was to provide consensus recommendations from a consortium of academic
and industry experts in the field of lymphoma and imaging for consistent application of the …

Reinventing radiation therapy with machine learning and imaging bio-markers (radiomics): State-of-the-art, challenges and perspectives

L Dercle, T Henry, A Carré, N Paragios, E Deutsch… - Methods, 2021 - Elsevier
Radiation therapy is a pivotal cancer treatment that has significantly progressed over the last
decade due to numerous technological breakthroughs. Imaging is now playing a critical role …