[HTML][HTML] Hyperpolarized 13C MRI: path to clinical translation in oncology

J Kurhanewicz, DB Vigneron, JH Ardenkjaer-Larsen… - Neoplasia, 2019 - Elsevier
This white paper discusses prospects for advancing hyperpolarization technology to better
understand cancer metabolism, identify current obstacles to HP (hyperpolarized) 13 C …

Imaging neoadjuvant therapy response in breast cancer

AM Fowler, DA Mankoff, BN Joe - Radiology, 2017 - pubs.rsna.org
The use of neoadjuvant systemic therapy in the treatment of breast cancer patients is
increasing beyond the scope of locally advanced disease. Imaging provides important …

Universal scaling laws rule explosive growth in human cancers

VM Pérez-García, GF Calvo, JJ Bosque… - Nature physics, 2020 - nature.com
Most physical and other natural systems are complex entities that are composed of a large
number of interacting individual elements. It is a surprising fact that they often obey the so …

Future cancer research priorities in the USA: a Lancet Oncology Commission

EM Jaffee, C Van Dang, DB Agus… - The Lancet …, 2017 - thelancet.com
We are in the midst of a technological revolution that is providing new insights into human
biology and cancer. In this era of big data, we are amassing large amounts of information …

Predicting responses to neoadjuvant chemotherapy in breast cancer: ACRIN 6691 trial of diffuse optical spectroscopic imaging

BJ Tromberg, Z Zhang, A Leproux, TD O'Sullivan… - Cancer research, 2016 - AACR
The prospective multicenter ACRIN 6691 trial was designed to evaluate whether changes
from baseline to mid-therapy in a diffuse optical spectroscopic imaging (DOSI)–derived …

Photoacoustic computed tomography of breast cancer in response to neoadjuvant chemotherapy

L Lin, X Tong, P Hu, M Invernizzi, L Lai… - Advanced …, 2021 - Wiley Online Library
Neoadjuvant chemotherapy (NAC) has contributed to improving breast cancer outcomes,
and it would ideally reduce the need for definitive breast surgery in patients who have no …

A systematic collection of medical image datasets for deep learning

J Li, G Zhu, C Hua, M Feng, B Bennamoun, P Li… - ACM Computing …, 2023 - dl.acm.org
The astounding success made by artificial intelligence in healthcare and other fields proves
that it can achieve human-like performance. However, success always comes with …

[HTML][HTML] Application of PET tracers in molecular imaging for breast cancer

J Boers, EFJ de Vries, AWJM Glaudemans… - Current oncology …, 2020 - Springer
Abstract Purpose of Review Molecular imaging with positron emission tomography (PET) is
a powerful tool to visualize breast cancer characteristics. Nonetheless, implementation of …

Making molecular imaging a clinical tool for precision oncology: a review

DA Mankoff, MD Farwell, AS Clark, DA Pryma - JAMA oncology, 2017 - jamanetwork.com
Importance Individualized cancer treatment, tailored to a particular patient and the tumor's
biological features (precision oncology), requires a detailed knowledge of tumor biology …

[HTML][HTML] The use of hyperpolarised 13C-MRI in clinical body imaging to probe cancer metabolism

R Woitek, FA Gallagher - British journal of cancer, 2021 - nature.com
Metabolic reprogramming is one of the hallmarks of cancer and includes the Warburg effect,
which is exhibited by many tumours. This can be exploited by positron emission tomography …