Browsing Radiotherapy and Imaging by title
Now showing items 256-275 of 1130
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Cross-modality deep learning: Contouring of MRI data from annotated CT data only.
(2020-11-30)Purpose Online adaptive radiotherapy would greatly benefit from the development of reliable auto-segmentation algorithms for organs-at-risk and radiation targets. Current practice of manual segmentation is subjective and ... -
CT diagnosis of ilioinguinal lymph node metastases in melanoma using radiological characteristics beyond size and asymmetry.
(OXFORD UNIV PRESS, 2021-01-08)BACKGROUND: Diagnosis of lymph node (LN) metastasis in melanoma with non-invasive methods is challenging. The aim of this study was to evaluate the diagnostic accuracy of six LN characteristics on CT in detecting ... -
CT-Based Pelvic T1-Weighted MR Image Synthesis Using UNet, UNet++ and Cycle-Consistent Generative Adversarial Network (Cycle-GAN).
(FRONTIERS MEDIA SA, 2021-07-30)BACKGROUND: Computed tomography (CT) and magnetic resonance imaging (MRI) are the mainstay imaging modalities in radiotherapy planning. In MR-Linac treatment, manual annotation of organs-at-risk (OARs) and clinical volumes ... -
Cumulative Burden of Morbidity Among Testicular Cancer Survivors After Standard Cisplatin-Based Chemotherapy: A Multi-Institutional Study.
(AMER SOC CLINICAL ONCOLOGY, 2018-05-20)Purpose In this multicenter study, we evaluated the cumulative burden of morbidity (CBM) among > 1,200 testicular cancer survivors and applied factor analysis to determine the co-occurrence of adverse health outcomes (AHOs). ... -
Current challenges for assessing the long-term clinical benefit of cancer immunotherapy: a multi-stakeholder perspective.
(BMJ PUBLISHING GROUP, 2020-01-01)Immuno-oncologics (IOs) differ from chemotherapies as they prime the patient's immune system to attack the tumor, rather than directly destroying cancer cells. The IO mechanism of action leads to durable responses and ... -
Cutaneous head and neck melanoma in OPTiM, a randomized phase 3 trial of talimogene laherparepvec versus granulocyte-macrophage colony-stimulating factor for the treatment of unresected stage IIIB/IIIC/IV melanoma.
(WILEY, 2016-12-01)BACKGROUND: Cutaneous head and neck melanoma has poor outcomes and limited treatment options. In OPTiM, a phase 3 study in patients with unresectable stage IIIB/IIIC/IV melanoma, intralesional administration of the oncolytic ... -
Cyclin-Dependent Kinase Inhibitor AT7519 as a Potential Drug for MYCN-Dependent Neuroblastoma.
(AMER ASSOC CANCER RESEARCH, 2015-11-15)PURPOSE: MYCN-dependent neuroblastomas have low cure rates with current multimodal treatment regimens and novel therapeutic drugs are therefore urgently needed. In previous preclinical studies, we have shown that targeted ... -
Daily adaptive radiotherapy for patients with prostate cancer using a high field MR-linac: Initial clinical experiences and assessment of delivered doses compared to a C-arm linac.
(ELSEVIER IRELAND LTD, 2020-07-01)INTRODUCTION: MR-guided adapted radiotherapy (MRgART) using a high field MR-linac has recently become available. We report the estimated delivered fractional dose of the first five prostate cancer patients treated at our ... -
Daily Intravoxel Incoherent Motion (IVIM) In Prostate Cancer Patients During MR-Guided Radiotherapy-A Multicenter Study.
(FRONTIERS MEDIA SA, 2021-08-13)PURPOSE: Daily quantitative MR imaging during radiotherapy of cancer patients has become feasible with MRI systems integrated with linear accelerators (MR-linacs). Quantitative images could be used for treatment response ... -
DARS: a phase III randomised multicentre study of dysphagia- optimised intensity- modulated radiotherapy (Do-IMRT) versus standard intensity- modulated radiotherapy (S-IMRT) in head and neck cancer.
(BMC, 2016-10-06)BACKGROUND: Persistent dysphagia following primary chemoradiation (CRT) for head and neck cancers can have a devastating impact on patients' quality of life. Single arm studies have shown that the dosimetric sparing of ... -
Data-driven mapping of hypoxia-related tumor heterogeneity using DCE-MRI and OE-MRI.
(WILEY, 2018-04-01)PURPOSE: Previous work has shown that combining dynamic contrast-enhanced (DCE)-MRI and oxygen-enhanced (OE)-MRI binary enhancement maps can identify tumor hypoxia. The current work proposes a novel, data-driven method for ... -
David Cosgrove OBITUARY
(2017-08-11) -
DCE-MRI is more sensitive than IVIM-DWI for assessing anti-angiogenic treatment-induced changes in colorectal liver metastases.
(BMC, 2021-12-19)BACKGROUND: Diffusion weighted imaging (DWI) with intravoxel incoherent motion (IVIM) modelling can inform on tissue perfusion without exogenous contrast administration. Dynamic-contrast-enhanced (DCE) MRI can also ... -
DCE-MRI, DW-MRI, and MRS in Cancer: Challenges and Advantages of Implementing Qualitative and Quantitative Multi-parametric Imaging in the Clinic.
(Ovid Technologies (Wolters Kluwer Health), 2016-10-01)Multi-parametric magnetic resonance imaging (mpMRI) offers a unique insight into tumor biology by combining functional MRI techniques that inform on cellularity (diffusion-weighted MRI), vascular properties (dynamic ... -
De novo phosphatidylcholine synthesis is required for autophagosome membrane formation and maintenance during autophagy.
(TAYLOR & FRANCIS INC, 2020-06)UNLABELLED: Macroautophagy/autophagy can enable cancer cells to withstand cellular stress and maintain bioenergetic homeostasis by sequestering cellular components into newly formed double-membrane vesicles destined for ... -
Deep Learning Framework with Multi-Head Dilated Encoders for Enhanced Segmentation of Cervical Cancer on Multiparametric Magnetic Resonance Imaging.
(MDPI, 2023-11-03)T2-weighted magnetic resonance imaging (MRI) and diffusion-weighted imaging (DWI) are essential components of cervical cancer diagnosis. However, combining these channels for the training of deep learning models is challenging ... -
Deep learning how to fit an intravoxel incoherent motion model to diffusion-weighted MRI.
(WILEY, 2020-01-01)PURPOSE: This prospective clinical study assesses the feasibility of training a deep neural network (DNN) for intravoxel incoherent motion (IVIM) model fitting to diffusion-weighted MRI (DW-MRI) data and evaluates its ... -
Deep-learned estimation of uncertainty in measurements of apparent diffusion coefficient from whole-body diffusion-weighted MRI.
(PERGAMON-ELSEVIER SCIENCE LTD, 2022-10-01)PURPOSE: To use deep learning to calculate the uncertainty in apparent diffusion coefficient (σADC) voxel-wise measurements to clinically impact the monitoring of treatment response and improve the quality of ADC maps. ... -
Defining a New Prognostic Index for Stage I Nonseminomatous Germ Cell Tumors Using CXCL12 Expression and Proportion of Embryonal Carcinoma.
(AMER ASSOC CANCER RESEARCH, 2016-03-01)PURPOSE: Up to 50% of patients diagnosed with stage I nonseminomatous germ cell tumors (NSGCTs) harbor occult metastases. Patients are managed by surveillance with chemotherapy at relapse or adjuvant treatment up front. ... -
Defining novel immune biomarkers of prognosis and immunotherapy sensitivity in gastro-oesophageal and colorectal cancers
(Institute of Cancer Research (University Of London), 2023-11-28)Background Gastro-oesophageal adenocarcinomas (GOAs) frequently recur after resection; prognostic and predictive markers are absent. Mismatch repair-deficient (MMRd) GOAs have high mutational burden, are frequently ...