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Fractal-based radiomic approach to predict complete pathological response after chemo-radiotherapy in rectal cancer
2017
Radiologia Medica
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This approach was implemented in a radiomic workflow and applied to 198 T2-weighted pre-treatment magnetic resonance (MR) images of LARC patients. ...
Fractal-based radiomic approach to predict complete pathological response after chemo-radiotherapy in rectal cancer. Radiologia medica, 123(4), 286-295. https://doi. ...
of fractal dimensions, as performed by Szigeti et al., on lung cancer CT images [20] . ...
doi:10.1007/s11547-017-0838-3
pmid:29230678
fatcat:6efty3l6prazlgpz4umbywbypu
Fractal-Based Radiomic Approach to Tailor the Chemotherapy Treatment in Rectal Cancer: A Generating Hypothesis Study
2021
Frontiers in Oncology
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At the univariate analysis, the only feature showing significance in predicting 5yDFS was the maximum fractal dimension of the subpopulation identified considering 30% and 50% as threshold levels (maxFD30 ...
CT regimen for stage III LARC cancer patients. ...
Conclusion: This study suggests that radiomic analysis of MR T2-w images can be used to define the optimal concomitant CT regimen for stage III LARC cancer patients. ...
doi:10.3389/fonc.2021.774413
pmid:34956893
pmcid:PMC8695680
fatcat:6xzzwayj5rhtjkbjmbsvlei3uq
Radiomics: a new application from established techniques
2016
Expert Review of Precision Medicine and Drug Development
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Radiomics is defined as the high throughput extraction of quantitative imaging features or texture (radiomics) from imaging to decode tissue pathology and creating a high dimensional data set for feature ...
The increasing use of biomarkers in cancer have led to the concept of personalized medicine for patients. ...
b) Computed Tomography-Al-Kadi and Watson implemented the differential box counting based fractal analysis method as well as lacunarity analysis on contrast enhanced (CE) CT images for differentiation ...
doi:10.1080/23808993.2016.1164013
pmid:28042608
pmcid:PMC5193485
fatcat:fw4a4asugffq5fjwrlllrgadge
Radiomics in Cancer Radiotherapy: a Review
[article]
2019
arXiv
pre-print
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This review will attempt to comprehensively and critically discuss the various aspects of radiomics including its workflow, applications to different modalities, potential applications in cancer radiotherapy ...
Radiomics is a nascent field in quantitative imaging that uses advanced algorithms and considerable computing power to describe tumor phenotypes, monitor treatment response, and assess normal tissue toxicity ...
The wealth of CT data available for analysis as well as the ease of application makes radiomic analysis of CT images desirable. ...
arXiv:1910.02102v2
fatcat:joyhcr3r4bgivf6bn3tu4jiy2a
Magnetic resonance imaging (MRI)-based radiomics for prostate cancer radiotherapy
2018
Translational Andrology and Urology
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"Radiomics", as it refers to the extraction and analysis of large number of advanced quantitative radiological features from medical images using high throughput methods, is perfectly suited as an engine ...
The article is structured as follows: first, we describe the radiomic approach; and second, we discuss the radiomic pipeline as tailored for RT of prostate cancer. ...
Radiomics Radiomics, as applied to oncology, is a type of quantitative medical image analysis that exploits image "features" as biomarkers to aid in tumor detection and localization as well as prediction ...
doi:10.21037/tau.2018.06.05
pmid:30050803
pmcid:PMC6043736
fatcat:22h5rn2rings7jmnh2v3fdiekm
Radiomics in head and neck cancer: from exploration to application
2016
Translational Cancer Research
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Here we present an overview of radiomic texture analysis methods as well as the software infrastructure, review the developments of radiomics in head and neck cancer applications, discuss unmet challenges ...
Head and neck cancers present a unique set of diagnostic and therapeutic challenges by nature of its complex anatomy and heterogeneity. ...
Upon analysis of features extracted from pre-treatment CT images from four independent lung and head and neck cancer cohorts (878 patients total), they showed that lung and head and neck radiomic clusters ...
doi:10.21037/tcr.2016.07.18
pmid:30627523
pmcid:PMC6322843
fatcat:c3rlhvvksfexjioi5e6ewktbf4
Investigation of Radiation-Induced Toxicity in Head and Neck Cancer Patients through Radiomics and Machine Learning: A Systematic Review
2021
Journal of Oncology
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Studies assessing the use of radiomics combined with machine learning in predicting radiation-induced toxicity in head and neck cancer patients were specifically included. ...
Published reports suggested the potential of radiomics combined with machine learning methods in the prediction and assessment of radiation-induced toxicities, supporting a tailored radiation treatment ...
However, addressing MRI complex standardization is paramount. ...
doi:10.1155/2021/5566508
fatcat:n4e5nzvljrh5vlgjecspnujyra
Texture analysis of medical images for radiotherapy applications
2017
British Journal of Radiology
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The high-throughput extraction of quantitative information from medical images, known as radiomics, has grown in interest due to the current necessity to quantitatively characterize tumour heterogeneity ...
Review article: Texture analysis of medical image in radiotherapy BJR ...
Tumori, Milan, Italy; and the Department of Radiology of ASST degli Spedali Civili di Brescia, Brescia, Italy, for providing MRI images. ...
doi:10.1259/bjr.20160642
pmid:27885836
pmcid:PMC5685100
fatcat:2ko66us7wfg23lhia3dc74dcxi
Radiomics for radiation oncologists: Are we ready to go?
2020
BJR|Open
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Radiomics have emerged as an exciting field of research over the past few years, with very wide potential applications in personalised and precision medicine of the future. ...
Radiomics could impact on all steps of the treatment pipeline, once the limitations in terms of robustness and reproducibility are overcome. ...
cancers. 1 Most of these studies have relied on a pre-treatment multimodal (CT, MRI or PET) analysis. ...
doi:10.1259/bjro.20190046
pmid:33178967
pmcid:PMC7594896
fatcat:kgpixb4pqzdf5iqs426r5afqqe
Role of MRI‑based radiomics in locally advanced rectal cancer (Review)
2021
Oncology Reports
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MRI‑based radiomics provides valuable data and is expected to become an imaging biomarker for predicting treatment response and prognosis. ...
Radiomics is characterized by the extraction of high‑dimensional quantitative features from medical imaging data, followed by data analysis and model construction, which can be used for tumor diagnosis ...
Li et al (97) combined the two imaging modalities of CT and MRI to establish a radiomics model, while comparing it with separate CT or MRI models. ...
doi:10.3892/or.2021.8245
pmid:34935061
pmcid:PMC8717123
fatcat:frrqoi7q55bkbpuzneudyaruxe
Role of Texture Analysis in Oropharyngeal Carcinoma: A Systematic Review of the Literature
2022
Cancers
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Six, thirteen, and seven articles used MRI, CT, and PET, respectively, as the imaging techniques by which texture analysis was performed. ...
differentiation of HPV-positive versus HPV-negative cancers, (3) the detection of cancers not visualised by imaging alone, and (4) the assessment of lymph node metastases from unknown primary carcinomas ...
Based on our results, texture analysis is a useful additional tool for the detection of OPSCC in combination with currently used imaging techniques, such as CT, MRI and PET/CT. ...
doi:10.3390/cancers14102445
pmid:35626048
pmcid:PMC9139172
fatcat:wiisd6z7ffho3byozp3dfuyflq
Radiomics – the value of the numbers in present and future radiology
2018
Polish Journal of Radiology
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tomography (CT), magnetic resonance imaging (MRI), or positron emission tomography (PET) images, by means of appropriate created algorithms. ...
This article is intended to explain the idea of radiomics, the mechanisms of data acquisition, existing possibilities, and the challenges incurred by radiologists and physicians at the stage of making ...
In oncology, neurology, or autoimmunological diseases, modern imaging technologies such as computer tomography (CT), magnetic resonance imaging (MRI), positron emission tomography (PET), scintigraphy, ...
doi:10.5114/pjr.2018.75794
pmid:30627231
pmcid:PMC6323541
fatcat:kbt34edfq5fcvalc5xs5q4wctq
The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges
2019
Theranostics
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On the basis of a great quantity of radiographic images and novel computational technologies, researchers developed and validated radiomic models that may improve the accuracy of diagnoses and therapy ...
Progress in computational methods, especially in artificial intelligence for medical image process and analysis, has converted these images into quantitative and minable data associated with clinical events ...
Radiomics was first proposed using CT images [1] and soon after was applied in the analysis of MR images [2] . ...
doi:10.7150/thno.30309
pmid:30867832
pmcid:PMC6401507
fatcat:zlupwckeajdfzgknpqexuuscce
Radiomics in the Setting of Neoadjuvant Radiotherapy: A New Approach for Tailored Treatment
2021
Cancers
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Results: This paper contains a narrative report and a critical discussion of radiomics approaches in different fields of neoadjuvant radiotherapy, including esophageal cancer, lung cancer, sarcoma, and ...
The evaluation of the efficacy of the induction strategy is made possible by performing imaging investigations before and after the neoadjuvant therapy and is usually challenging. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/cancers13143590
fatcat:awywvlbplvf2tawx5y6iuhxfwm
Responsible Radiomics Research for Faster Clinical Translation
2017
Journal of Nuclear Medicine
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Secondly, a set of CT images of a lung cancer patient was used to standardize the image processing steps. ...
Imaging modalities such as 2-deoxy-2-18F-fluoro-D-glucose (18F-FDG) positron emission tomography (PET), X-ray computed tomography (CT) and magnetic resonance imaging (MRI) are minimally invasive and would ...
doi:10.2967/jnumed.117.200501
pmid:29175982
pmcid:PMC5807530
fatcat:jm5qijrrhrdjbdzmdyrdf7zok4
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