A multi-sequence and habitat-based MRI radiomics signature for preoperative prediction of MGMT promoter methylation in astrocytomas with prognostic implication
Objectives Oxygen 6-methylguanine-DNA methyltransferase (MGMT) promoter methylation
is a significant prognostic biomarker in astrocytomas, especially for temozolomide (TMZ) …
is a significant prognostic biomarker in astrocytomas, especially for temozolomide (TMZ) …
Radiomics-based prediction of microsatellite instability in colorectal cancer at initial computed tomography evaluation
JS Golia Pernicka, J Gagniere, J Chakraborty… - Abdominal …, 2019 - Springer
Purpose To predict microsatellite instability (MSI) status of colon cancer on preoperative CT
imaging using radiomic analysis. Methods This retrospective study involved radiomic …
imaging using radiomic analysis. Methods This retrospective study involved radiomic …
CT radiomics signature of tumor and peritumoral lung parenchyma to predict nonsmall cell lung cancer postsurgical recurrence risk
TA D'Antonoli, A Farchione, J Lenkowicz… - Academic radiology, 2020 - Elsevier
Rationale and Objectives To estimate recurrence risk after surgery in nonsmall cell lung
cancer (NSCLC) patients by employing tumoral and peritumoral radiomics analysis …
cancer (NSCLC) patients by employing tumoral and peritumoral radiomics analysis …
A new challenge for radiologists: radiomics in breast cancer
P Crivelli, RE Ledda, N Parascandolo… - BioMed research …, 2018 - Wiley Online Library
Introduction. Over the last decade, the field of medical imaging experienced an exponential
growth, leading to the development of radiomics, with which innumerable quantitative …
growth, leading to the development of radiomics, with which innumerable quantitative …
Radiomics-based pretherapeutic prediction of non-response to neoadjuvant therapy in locally advanced rectal cancer
Objective The aim of this study was to investigate whether pretherapeutic, multiparametric
magnetic resonance imaging (MRI) radiomic features can be used for predicting non …
magnetic resonance imaging (MRI) radiomic features can be used for predicting non …
Machine learning and deep neural networks in thoracic and cardiovascular imaging
TA Retson, AH Besser, S Sall, D Golden… - Journal of thoracic …, 2019 - journals.lww.com
Advances in technology have always had the potential and opportunity to shape the practice
of medicine, and in no medical specialty has technology been more rapidly embraced and …
of medicine, and in no medical specialty has technology been more rapidly embraced and …
MR image-based radiomics to differentiate type Ι and type ΙΙ epithelial ovarian cancers
Objectives Epithelial ovarian cancers (EOC) can be divided into type I and type II according
to etiology and prognosis. Accurate subtype differentiation can substantially impact patient …
to etiology and prognosis. Accurate subtype differentiation can substantially impact patient …
Combining many-objective radiomics and 3D convolutional neural network through evidential reasoning to predict lymph node metastasis in head and neck cancer
Lymph node metastasis (LNM) is a significant prognostic factor in patients with head and
neck cancer, and the ability to predict it accurately is essential to optimizing treatment …
neck cancer, and the ability to predict it accurately is essential to optimizing treatment …
MR‐based radiomics nomogram of cervical cancer in prediction of the lymph‐vascular space invasion preoperatively
Background Lymph‐vascular space invasion (LVSI) is an unfavorable prognostic factor in
cervical cancer. Unfortunately, there are no current clinical tools for the preoperative …
cervical cancer. Unfortunately, there are no current clinical tools for the preoperative …
[HTML][HTML] A nomogram based on bi-regional radiomics features from multimodal magnetic resonance imaging for preoperative prediction of microvascular invasion in …
Background We aimed to develop and validate a nomogram combining bi-regional
radiomics features from multimodal magnetic resonance imaging (MRI) and …
radiomics features from multimodal magnetic resonance imaging (MRI) and …