[HTML][HTML] The applications of radiomics in precision diagnosis and treatment of oncology: opportunities and challenges
Medical imaging can assess the tumor and its environment in their entirety, which makes it
suitable for monitoring the temporal and spatial characteristics of the tumor. Progress in …
suitable for monitoring the temporal and spatial characteristics of the tumor. Progress in …
Machine and deep learning methods for radiomics
Radiomics is an emerging area in quantitative image analysis that aims to relate large‐scale
extracted imaging information to clinical and biological endpoints. The development of …
extracted imaging information to clinical and biological endpoints. The development of …
nnU-Net for brain tumor segmentation
We apply nnU-Net to the segmentation task of the BraTS 2020 challenge. The unmodified
nnU-Net baseline configuration already achieves a respectable result. By incorporating …
nnU-Net baseline configuration already achieves a respectable result. By incorporating …
Radiomic analysis of contrast-enhanced CT predicts microvascular invasion and outcome in hepatocellular carcinoma
X Xu, HL Zhang, QP Liu, SW Sun, J Zhang, FP Zhu… - Journal of …, 2019 - Elsevier
Background & Aims Microvascular invasion (MVI) impairs surgical outcomes in patients with
hepatocellular carcinoma (HCC). As there is no single highly reliable factor to preoperatively …
hepatocellular carcinoma (HCC). As there is no single highly reliable factor to preoperatively …
[HTML][HTML] Lomustine and bevacizumab in progressive glioblastoma
W Wick, T Gorlia, M Bendszus… - … England Journal of …, 2017 - Mass Medical Soc
Background Bevacizumab is approved for the treatment of patients with progressive
glioblastoma on the basis of uncontrolled data. Data from a phase 2 trial suggested that the …
glioblastoma on the basis of uncontrolled data. Data from a phase 2 trial suggested that the …
Radiomics and radiogenomics in gliomas: a contemporary update
The natural history and treatment landscape of primary brain tumours are complicated by the
varied tumour behaviour of primary or secondary gliomas (high-grade transformation of low …
varied tumour behaviour of primary or secondary gliomas (high-grade transformation of low …
Automated quantitative tumour response assessment of MRI in neuro-oncology with artificial neural networks: a multicentre, retrospective study
P Kickingereder, F Isensee, I Tursunova… - The Lancet …, 2019 - thelancet.com
Summary Background The Response Assessment in Neuro-Oncology (RANO) criteria and
requirements for a uniform protocol have been introduced to standardise assessment of MRI …
requirements for a uniform protocol have been introduced to standardise assessment of MRI …
Radiomics analysis for evaluation of pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer
Z Liu, XY Zhang, YJ Shi, L Wang, HT Zhu, Z Tang… - Clinical Cancer …, 2017 - AACR
Purpose: To develop and validate a radiomics model for evaluating pathologic complete
response (pCR) to neoadjuvant chemoradiotherapy in patients with locally advanced rectal …
response (pCR) to neoadjuvant chemoradiotherapy in patients with locally advanced rectal …
Radiomics: from qualitative to quantitative imaging
W Rogers, S Thulasi Seetha… - The British journal of …, 2020 - academic.oup.com
Historically, medical imaging has been a qualitative or semi-quantitative modality. It is
difficult to quantify what can be seen in an image, and to turn it into valuable predictive …
difficult to quantify what can be seen in an image, and to turn it into valuable predictive …
Beyond imaging: the promise of radiomics
The domain of investigation of radiomics consists of large-scale radiological image analysis
and association with biological or clinical endpoints. The purpose of the present study is to …
and association with biological or clinical endpoints. The purpose of the present study is to …