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https://www.readbyqxmd.com/read/29782246/precision-medicine-and-radiogenomics-in-breast-cancer-new-approaches-toward-diagnosis-and-treatment
#1
Katja Pinker, Joanne Chin, Amy N Melsaether, Elizabeth A Morris, Linda Moy
Precision medicine is medicine optimized to the genotypic and phenotypic characteristics of an individual and, when present, his or her disease. It has a host of targets, including genes and their transcripts, proteins, and metabolites. Studying precision medicine involves a systems biology approach that integrates mathematical modeling and biology genomics, transcriptomics, proteomics, and metabolomics. Moreover, precision medicine must consider not only the relatively static genetic codes of individuals, but also the dynamic and heterogeneous genetic codes of cancers...
June 2018: Radiology
https://www.readbyqxmd.com/read/29780627/a-new-approach-to-predict-lymph-node-metastasis-in-solid-lung-adenocarcinoma-a-radiomics-nomogram
#2
Xinguan Yang, Xiaohuan Pan, Hui Liu, Dashan Gao, Jianxing He, Wenhua Liang, Yubao Guan
Background: Lymph node metastasis (LNM) of lung cancer is an important factor related to survival and recurrence. The association between radiomics features of lung cancer and LNM remains unclear. We developed and validated a radiomics nomogram to predict LNM in solid lung adenocarcinoma. Methods: A total of 159 eligible patients with solid lung adenocarcinoma were divided into training (n=106) and validation cohorts (n=53). Radiomics features were extracted from venous-phase CT images...
April 2018: Journal of Thoracic Disease
https://www.readbyqxmd.com/read/29779918/tracking-tumor-biology-with-radiomics-a-systematic-review-utilizing-a-radiomics-quality-score
#3
REVIEW
Sebastian Sanduleanu, Henry C Woodruff, Evelyn E C de Jong, Janna E van Timmeren, Arthur Jochems, Ludwig Dubois, Philippe Lambin
INTRODUCTION: In this review we describe recent developments in the field of radiomics along with current relevant literature linking it to tumor biology. We furthermore explore the methodologic quality of these studies with our in-house radiomics quality scoring (RQS) tool. Finally, we offer our vision on necessary future steps for the development of stable radiomic features and their links to tumor biology. METHODS: Two authors (S.S. and H.W.) independently performed a thorough systematic literature search and outcome extraction to identify relevant studies published in MEDLINE/PubMed (National Center for Biotechnology Information, NCBI), EMBASE (Ovid) and Web of Science (WoS)...
May 18, 2018: Radiotherapy and Oncology: Journal of the European Society for Therapeutic Radiology and Oncology
https://www.readbyqxmd.com/read/29774870/radiomics-in-gliomas-a-promising-assistance-for-glioma-clinical-research
#4
Yueshuang Leng, Xiaoyi Wang, Weihua Liao, Ya Cao
Gliomas are the most common brain primary tumors worldwide, which is the earliest sequenced cancer gene in the Cancer Genome Atlas (TCGA) project. The World Health Organization Classification Update of Central Nervous System (CNS) Tumors 2016 highlights that glioma is the first tumor classified based on both of the molecular markers and histology. Radiomics is an extraction approach for high-throughput data which collects the quantitative image information appearing. Combined imaging data with genomics and proteomics, radiomics show promising prediction for cancer diagnosis, treatment, and prognosis...
April 28, 2018: Zhong Nan da Xue Xue Bao. Yi Xue Ban, Journal of Central South University. Medical Sciences
https://www.readbyqxmd.com/read/29770763/a-radiomics-nomogram-for-preoperative-prediction-of-microvascular-invasion-risk-in-hepatitis-b-virus-related-hepatocellular-carcinoma
#5
Jie Peng, Jing Zhang, Qifan Zhang, Yikai Xu, Jie Zhou, Li Liu
PURPOSE: We aimed to develop and validate a radiomics nomogram for preoperative prediction of microvascular invasion (MVI) in hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC). METHODS: A total of 304 eligible patients with HCC were randomly divided into training (n=184) and independent validation (n=120) cohorts. Portal venous and arterial phase computed tomography data of the HCCs were collected to extract radiomic features. Using the least absolute shrinkage and selection operator algorithm, the training set was processed to reduce data dimensions, feature selection, and construction of a radiomics signature...
May 2018: Diagnostic and Interventional Radiology: Official Journal of the Turkish Society of Radiology
https://www.readbyqxmd.com/read/29769042/mpcad-a-multi-scale-radiomics-driven-framework-for-automated-prostate-cancer-localization-and-detection
#6
Farzad Khalvati, Junjie Zhang, Audrey G Chung, Mohammad Javad Shafiee, Alexander Wong, Masoom A Haider
BACKGROUND: Quantitative radiomic features provide a plethora of minable data extracted from multi-parametric magnetic resonance imaging (MP-MRI) which can be used for accurate detection and localization of prostate cancer. While most cancer detection algorithms utilize either voxel-based or region-based feature models, the complexity of prostate tumour phenotype in MP-MRI requires a more sophisticated framework to better leverage available data and exploit a priori knowledge in the field...
May 16, 2018: BMC Medical Imaging
https://www.readbyqxmd.com/read/29761595/radiomics-analysis-of-apparent-diffusion-coefficient-in-cervical-cancer-a-preliminary-study-on-histological-grade-evaluation
#7
Ying Liu, Yuwei Zhang, Runfen Cheng, Shichang Liu, Fangyuan Qu, Xiaoyu Yin, Qin Wang, Bohan Xiao, Zhaoxiang Ye
BACKGROUND: The role of apparent diffusion coefficient (ADC)-based radiomics features in evaluating histopathological grade of cervical cancer is unresolved. PURPOSE: To determine if there is a difference between radiomics features derived from center-slice 2D versus whole-tumor volumetric 3D for ADC measurements in patients with cervical cancer regarding tumor histopathological grade, and systematically assess the impact of the b value on radiomics analysis in ADC quantifications...
May 14, 2018: Journal of Magnetic Resonance Imaging: JMRI
https://www.readbyqxmd.com/read/29761357/classifying-brain-metastases-by-their-primary-site-of-origin-using-a-radiomics-approach-based-on-texture-analysis-a-feasibility-study
#8
Rafael Ortiz-Ramón, Andrés Larroza, Silvia Ruiz-España, Estanislao Arana, David Moratal
OBJECTIVE: To examine the capability of MRI texture analysis to differentiate the primary site of origin of brain metastases following a radiomics approach. METHODS: Sixty-seven untreated brain metastases (BM) were found in 3D T1-weighted MRI of 38 patients with cancer: 27 from lung cancer, 23 from melanoma and 17 from breast cancer. These lesions were segmented in 2D and 3D to compare the discriminative power of 2D and 3D texture features. The images were quantized using different number of gray-levels to test the influence of quantization...
May 14, 2018: European Radiology
https://www.readbyqxmd.com/read/29758038/novel-high-resolution-computed-tomography-based-radiomic-classifier-for-screen-identified-pulmonary-nodules-in-the-national-lung-screening-trial
#9
Tobias Peikert, Fenghai Duan, Srinivasan Rajagopalan, Ronald A Karwoski, Ryan Clay, Richard A Robb, Ziling Qin, JoRean Sicks, Brian J Bartholmai, Fabien Maldonado
PURPOSE: Optimization of the clinical management of screen-detected lung nodules is needed to avoid unnecessary diagnostic interventions. Herein we demonstrate the potential value of a novel radiomics-based approach for the classification of screen-detected indeterminate nodules. MATERIAL AND METHODS: Independent quantitative variables assessing various radiologic nodule features such as sphericity, flatness, elongation, spiculation, lobulation and curvature were developed from the NLST dataset using 726 indeterminate nodules (all ≥ 7 mm, benign, n = 318 and malignant, n = 408)...
2018: PloS One
https://www.readbyqxmd.com/read/29756120/quantitative-image-analysis-for-evaluation-of-tumor-response-in-clinical-oncology
#10
Wen-Li Cai, Guo-Bin Hong
The objective, accurate, and standardized evaluation of tumor response to treatment is an indispensable procedure in clinical oncology. Compared to manual measurement, computer-assisted linear measurement can significantly improve the accuracy and reproducibility of tumor burden quantification. For irregular-shaped and infiltrating or diffuse tumors, which are difficult to quantify by linear measurement, computer-assisted volumetric measurement may provide a more objective and sensitive quantification to evaluate tumor response to treatment than linear measurement does...
March 2018: Chronic Diseases and Translational Medicine
https://www.readbyqxmd.com/read/29755685/selected-pet-radiomic-features-remain-the-same
#11
Tetsuya Tsujikawa, Hideaki Tsuyoshi, Masafumi Kanno, Shizuka Yamada, Masato Kobayashi, Norihiko Narita, Hirohiko Kimura, Shigeharu Fujieda, Yoshio Yoshida, Hidehiko Okazawa
Purpose: We investigated whether PET radiomic features are affected by differences in the scanner, scan protocol, and lesion location using 18 F-FDG PET/CT and PET/MR scans. Results: SUV, TMR, skewness, kurtosis, entropy, and homogeneity strongly correlated between PET/CT and PET/MR images. SUVs were significantly higher on PET/MR0-2 min and PET/MR0-10 min than on PET/CT in gynecological cancer ( p = 0.008 and 0.008, respectively), whereas no significant difference was observed between PET/CT, PET/MR0-2 min , and PET/MR0-10 min images in oral cavity/oropharyngeal cancer...
April 17, 2018: Oncotarget
https://www.readbyqxmd.com/read/29754995/additive-benefit-of-radiomics-over-size-alone-in-the-distinction-between-benign-lesions-and-luminal-a-cancers-on-a-large-clinical-breast-mri-dataset
#12
Heather M Whitney, Nathan S Taylor, Karen Drukker, Alexandra V Edwards, John Papaioannou, David Schacht, Maryellen L Giger
RATIONALE AND OBJECTIVES: The objective of this study was to demonstrate improvement in distinguishing between benign lesions and luminal A breast cancers in a large clinical breast magnetic resonance imaging database by using quantitative radiomics over maximum linear size alone. MATERIALS AND METHODS: In this retrospective study, 212 benign lesions and 296 luminal A breast cancers were automatically segmented from dynamic contrast-enhanced breast magnetic resonance images...
May 10, 2018: Academic Radiology
https://www.readbyqxmd.com/read/29754276/-718-f-fdg-pet-ct-metabolic-tumor-parameters-and-radiomics-features-in-aggressive-non-hodgkin-s-lymphoma-as-predictors-of-treatment-outcome-and-survival
#13
Aatif Parvez, Noam Tau, Douglas Hussey, Manjula Maganti, Ur Metser
PURPOSE: To determine whether metabolic tumor parameters and radiomic features extracted from 18 F-FDG PET/CT (PET) can predict response to therapy and outcome in patients with aggressive B-cell lymphoma. METHODS: This institutional ethics board-approved retrospective study included 82 patients undergoing PET for aggressive B-cell lymphoma staging. Whole-body metabolic tumor volume (MTV) using various thresholds and tumor radiomic features were assessed on representative tumor sites...
May 12, 2018: Annals of Nuclear Medicine
https://www.readbyqxmd.com/read/29751945/thoughts-on-entering-correlated-imaging-variables-into-a-multivariable-model-application-to-radiomics-and-texture-analysis
#14
EDITORIAL
E Matzner-Lober, C M Suehs, A Dohan, N Molinari
No abstract text is available yet for this article.
May 2018: Diagnostic and Interventional Imaging
https://www.readbyqxmd.com/read/29750429/computer-aided-diagnosis-with-radiogenomics-analysis-of-the-relationship-between-genotype-and-morphological-changes-of-the-brain-magnetic-resonance-images
#15
Chiharu Kai, Yoshikazu Uchiyama, Junji Shiraishi, Hiroshi Fujita, Kunio Doi
In the post-genome era, a novel research field, 'radiomics' has been developed to offer a new viewpoint for the use of genotypes in radiology and medicine research which have traditionally focused on the analysis of imaging phenotypes. The present study analyzed brain morphological changes related to the individual's genotype. Our data consisted of magnetic resonance (MR) images of patients with mild cognitive impairment (MCI) and Alzheimer's disease (AD), as well as their apolipoprotein E (APOE) genotypes...
May 10, 2018: Radiological Physics and Technology
https://www.readbyqxmd.com/read/29745558/-feasibility-analysis-of-predicting-expression-of-estrogen-receptor-in-breast-cancer-based-on-radiomics
#16
Tongtong Liu, Jiawei Li, Yuzhou Hu, Jinhua Yu, Yi Guo, Yuanyuan Wang, Cai Chang
This study aims to predict expression of estrogen receptor (ER) in breast cancer by radiomics. Firstly, breast cancer images are segmented automatically by phase-based active contour (PBAC) method. Secondly, high-throughput features of ultrasound images are extracted and quantized. A total of 404 high-throughput features are divided into three categories, such as morphology, texture and wavelet. Then, the features are selected by R language and genetic algorithm combining minimum-redundancy-maximum-relevance (mRMR) criterion...
August 1, 2017: Sheng Wu Yi Xue Gong Cheng Xue za Zhi, Journal of Biomedical Engineering, Shengwu Yixue Gongchengxue Zazhi
https://www.readbyqxmd.com/read/29737390/radiomics-of-high-grade-serous-ovarian-cancer-association-between-quantitative-ct-features-residual-tumour-and-disease-progression-within-12-months
#17
Stefania Rizzo, Francesca Botta, Sara Raimondi, Daniela Origgi, Valentina Buscarino, Anna Colarieti, Federica Tomao, Giovanni Aletti, Vanna Zanagnolo, Maria Del Grande, Nicoletta Colombo, Massimo Bellomi
OBJECTIVES: To determine if radiomic features, alone or combined with clinical data, are associated with residual tumour (RT) at surgery, and predict the risk of disease progression within 12 months (PD12) in ovarian cancer (OC) patients. METHODS: This retrospective study enrolled 101 patients according to the following inclusion parameters: cytoreductive surgery performed at our institution (9 May 2007-23 February 2016), assessment of BRCA mutational status, preoperative CT available...
May 8, 2018: European Radiology
https://www.readbyqxmd.com/read/29735443/-differential-diagnosis-of-hepatocellular-carcinoma-and-hepatic-hemangiomas-based-on-radiomic-features-of-gadoxetate-disodium-enhanced-magnetic-resonance-imaging
#18
Mao-Dong Chen, Jing Zhang, Gui-Xiang Yang, Jie-Min Lin, Yan-Qiu Feng
OBJECTIVE: To evaluate the feasibility of using radiomic features for differential diagnosis of hepatocellular carcinoma (HCC) and hepatic cavernous hemangioma (HHE). METHODS: Gadoxetate disodium-enhanced magnetic resonance imaging data were collected from a total of 135 HCC and HHE lesions. The radiomic texture features of each lesion were extracted on the hepatobiliary phase images, and the performance of each feature was assessed in differentiation and classification of HCC and HHE...
April 20, 2018: Nan Fang Yi Ke da Xue Xue Bao, Journal of Southern Medical University
https://www.readbyqxmd.com/read/29734484/radiomic-features-from-pretreatment-biparametric-mri-predict-prostate-cancer-biochemical-recurrence-preliminary-findings
#19
Rakesh Shiradkar, Soumya Ghose, Ivan Jambor, Pekka Taimen, Otto Ettala, Andrei S Purysko, Anant Madabhushi
BACKGROUND: Radiomics or computer-extracted texture features derived from MRI have been shown to help quantitatively characterize prostate cancer (PCa). Radiomics have not been explored depth in the context of predicting biochemical recurrence (BCR) of PCa. PURPOSE: To identify a set of radiomic features derived from pretreatment biparametric MRI (bpMRI) that may be predictive of PCa BCR. STUDY TYPE: Retrospective. SUBJECTS: In all, 120 PCa patients from two institutions, I1 and I2 , partitioned into training set D1 (N = 70) from I1 and independent validation set D2 (N = 50) from I2 ...
May 7, 2018: Journal of Magnetic Resonance Imaging: JMRI
https://www.readbyqxmd.com/read/29733087/brain-cancer-imaging-phenomics-toolkit-brain-captk-an-interactive-platform-for-quantitative-analysis-of-glioblastoma
#20
Saima Rathore, Spyridon Bakas, Sarthak Pati, Hamed Akbari, Ratheesh Kalarot, Patmaa Sridharan, Martin Rozycki, Mark Bergman, Birkan Tunc, Ragini Verma, Michel Bilello, Christos Davatzikos
Quantitative research, especially in the field of radio(geno)mics, has helped us understand fundamental mechanisms of neurologic diseases. Such research is integrally based on advanced algorithms to derive extensive radiomic features and integrate them into diagnostic and predictive models. To exploit the benefit of such complex algorithms, their swift translation into clinical practice is required, currently hindered by their complicated nature. brain-CaPTk is a modular platform, with components spanning across image processing, segmentation, feature extraction, and machine learning, that facilitates such translation, enabling quantitative analyses without requiring substantial computational background...
2018: Brainlesion: glioma, multiple sclerosis, stroke and traumatic brain injuries: third International Workshop, BrainLes 2017, held in conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Revised selected papers
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