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https://www.readbyqxmd.com/read/29342209/correction-harmonizing-the-pixel-size-in-retrospective-computed-tomography-radiomics-studies
#1
Dennis Mackin, Xenia Fave, Lifei Zhang, Jinzhong Yang, A Kyle Jones, Chaan S Ng, Laurence Court
[This corrects the article DOI: 10.1371/journal.pone.0178524.].
2018: PloS One
https://www.readbyqxmd.com/read/29335867/can-ct-based-radiomics-signature-predict-kras-nras-braf-mutations-in-colorectal-cancer
#2
Lei Yang, Di Dong, Mengjie Fang, Yongbei Zhu, Yali Zang, Zhenyu Liu, Hongmei Zhang, Jianming Ying, Xinming Zhao, Jie Tian
OBJECTIVES: To investigate whether CT-based radiomics signature can predict KRAS/NRAS/BRAF mutations in colorectal cancer (CRC). METHODS: This retrospective study consisted of a primary cohort (n = 61) and a validation cohort (n = 56) with pathologically confirmed CRC. Patients underwent KRAS/NRAS/BRAF mutation tests and contrast-enhanced CT before treatment. A total of 346 radiomics features were extracted from portal venous-phase CT images of the entire primary tumour...
January 15, 2018: European Radiology
https://www.readbyqxmd.com/read/29329660/cochlea-ct-radiomics-predicts-chemoradiotherapy-induced-sensorineural-hearing-loss-in-head-and-neck-cancer-patients-a-machine-learning-and-multi-variable-modelling-study
#3
Hamid Abdollahi, Shayan Mostafaei, Susan Cheraghi, Isaac Shiri, Seied Rabi Mahdavi, Anoshirvan Kazemnejad
OBJECTIVES: Immediately or after head-and-neck (H&N) cancer chemoradiotherapy (CRT), patients may undergone significant sensorineural hearing loss (SNHL) which could affect their quality of life. Radiomic feature analysis is proposed to predict SNHL induced by CRT. MATERIAL AND METHODS: 490 image features of 94 cochlea from 47 patients treated with three dimensional conformal RT (3DCRT) for different H&N cancers were extracted from CT images. Different machine learning (ML) algorithms and also least absolute shrinkage and selection operator (LASSO) penalized logistic regression were implemented on radiomic features for feature selection, classification and prediction...
January 9, 2018: Physica Medica: PM
https://www.readbyqxmd.com/read/29322066/special-section-guest-editorial-radiomics-and-deep-learning
#4
Despina Kontos, Ronald M Summers, Maryellen Giger
This guest editorial introduces and summarizes the JMI Special Section on Radiomics and Deep Learning.
October 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/29314345/differentiation-between-vasogenic-edema-and-infiltrative-tumor-in-patients-with-high-grade-gliomas-using-texture-patch-based-analysis
#5
Moran Artzi, Gilad Liberman, Deborah T Blumenthal, Orna Aizenstein, Felix Bokstein, Dafna Ben Bashat
BACKGROUND: High-grade gliomas (HGGs) induce both vasogenic edema and extensive infiltration of tumor cells, both of which present with similar appearance on conventional MRI. Using current radiological criteria, differentiation between these tumoral and nontumoral areas within the nonenhancing lesion area remains challenging. PURPOSE: To use radiomics patch-based analysis, based on conventional MRI, for the classification of the nonenhancing lesion area in patients with HGG into tumoral and nontumoral components...
January 3, 2018: Journal of Magnetic Resonance Imaging: JMRI
https://www.readbyqxmd.com/read/29313112/size-extensivity-of-elastic-properties-of-alkane-fragments
#6
Milad Radiom, Plinio Maroni, Tomasz A Wesolowski
Using MP2, CCSD, and B3LYP methods of computational chemistry, we show length dependence in the intrinsic elastic properties of short alkane fragments. For isolated alkane fragments of finite length in the gas phase and zero temperature, the intrinsic elasticity constants are found to vary with the number of carbon atoms and its parity. From extrapolation of the elasticity constants calculations to infinite chain length, and by comparing with in-situ elasticity constant of single poly(ethylene) molecule obtained with atomic force microscopy, we estimate the softening effect of environment on the extension response of the polymer...
January 8, 2018: Journal of Molecular Modeling
https://www.readbyqxmd.com/read/29311707/associations-of-tumor-pd-1-ligands-immunohistochemical-studies-and-textural-features-in-18f-fdg-pet-in-squamous-cell-carcinoma-of-the-head-and-neck
#7
Rui-Yun Chen, Ying-Chun Lin, Wei-Chih Shen, Te-Chun Hsieh, Kuo-Yang Yen, Shang-Wen Chen, Chia-Hung Kao
To know tumor PD-L1 expression through IHC or the FDG-PET related radiomics, we investigated the association between programmed cell death protein 1 ligand (PD-L1) expression and immunohistochemical (IHC) biomarkers or textural features of 18F-fluoro-2-deoxdeoxyglucose positron emission tomography (18F-FDG PET) in 53 oropharyngeal or hypopharyngeal cancer patients who were ready to undergo radiotherapy-based treatment. Differences in textural features or biomarkers between tumors with and without PD-L1 expression were tested using a Mann-Whitney U test...
January 8, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29311558/radiogenomic-analysis-of-hypoxia-pathway-is-predictive-of-overall-survival-in-glioblastoma
#8
Niha Beig, Jay Patel, Prateek Prasanna, Virginia Hill, Amit Gupta, Ramon Correa, Kaustav Bera, Salendra Singh, Sasan Partovi, Vinay Varadan, Manmeet Ahluwalia, Anant Madabhushi, Pallavi Tiwari
Hypoxia, a characteristic trait of Glioblastoma (GBM), is known to cause resistance to chemo-radiation treatment and is linked with poor survival. There is hence an urgent need to non-invasively characterize tumor hypoxia to improve GBM management. We hypothesized that (a) radiomic texture descriptors can capture tumor heterogeneity manifested as a result of molecular variations in tumor hypoxia, on routine treatment naïve MRI, and (b) these imaging based texture surrogate markers of hypoxia can discriminate GBM patients as short-term (STS), mid-term (MTS), and long-term survivors (LTS)...
January 8, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29307077/analysis-of-ct-features-and-quantitative-texture-analysis-in-patients-with-thymic-tumors-correlation-with-grading-and-staging
#9
Angelo Iannarelli, Beatrice Sacconi, Francesca Tomei, Marco Anile, Flavia Longo, Mario Bezzi, Alessandro Napoli, Luca Saba, Michele Anzidei, Giulia D'Ovidio, Roberto Scipione, Carlo Catalano
OBJECTIVES: To evaluate potential relationship between qualitative CT features, quantitative texture analysis (QTA), histology, WHO staging, Masaoka classification and myasthenic syndrome in patients with thymic tumors. MATERIALS AND METHODS: Sixteen patients affected by histologically proven thymic tumors were retrospectively included in the study population. Clinical information, with special regard to myasthenic syndrome and serological positivity of anti-AchR antibodies, were recorded...
January 6, 2018: La Radiologia Medica
https://www.readbyqxmd.com/read/29301932/a-post-reconstruction-harmonization-method-for-multicenter-radiomic-studies-in-pet
#10
Fanny Orlhac, Sarah Boughdad, Cathy Philippe, Hugo Stalla-Bourdillon, Christophe Nioche, Laurence Champion, Michaël Soussan, Frédérique Frouin, Vincent Frouin, Irène Buvat
Introduction: Several reports have shown that radiomic feature values are affected by the acquisition and reconstruction parameters, thus hampering multicenter studies. We propose a method to standardize features measured from Positron Emission Tomography (PET) images obtained using different imaging protocols to remove the center effect while preserving patient-specific effects. Methods: Pre-treatment 18F-FDG-PET images of patients with breast cancer were included. In Department A, 63 patients were scanned using a Gemini Time-Of-Flight-PET/Computed-Tomography scanner including 16 triple-negative lesions (TN)...
January 4, 2018: Journal of Nuclear Medicine: Official Publication, Society of Nuclear Medicine
https://www.readbyqxmd.com/read/29290259/radiomics-and-radiogenomics-in-lung-cancer-a-review-for-the-clinician
#11
REVIEW
Rajat Thawani, Michael McLane, Niha Beig, Soumya Ghose, Prateek Prasanna, Vamsidhar Velcheti, Anant Madabhushi
Lung cancer is responsible for a large proportion of cancer-related deaths across the globe, with delayed detection being perhaps the most significant factor for its high mortality rate. Though the National Lung Screening Trial argues for screening of certain at-risk populations, the practical implementation of these screening efforts has not yet been successful and remains in high demand. Radiomics refers to the computerized extraction of data from radiologic images, and provides unique potential for making lung cancer screening more rapid and accurate using machine learning algorithms...
January 2018: Lung Cancer: Journal of the International Association for the Study of Lung Cancer
https://www.readbyqxmd.com/read/29285518/accounting-for-reconstruction-kernel-induced-variability-in-ct-radiomic-features-using-noise-power-spectra
#12
Muhammad Shafiq-Ul-Hassan, Geoffrey G Zhang, Dylan C Hunt, Kujtim Latifi, Ghanim Ullah, Robert J Gillies, Eduardo G Moros
Large variability in computed tomography (CT) radiomics feature values due to CT imaging parameters can have subsequent implications on the prognostic or predictive significance of these features. Here, we investigated the impact of pitch, dose, and reconstruction kernel on CT radiomic features. Moreover, we introduced correction factors to reduce feature variability introduced by reconstruction kernels. The credence cartridge radiomics and American College of Radiology (ACR) phantoms were scanned on five different scanners...
January 2018: Journal of Medical Imaging
https://www.readbyqxmd.com/read/29279146/pretreatment-mr-imaging-radiomics-signatures-for-response-prediction-to-induction-chemotherapy-in-patients-with-nasopharyngeal-carcinoma
#13
Guangyi Wang, Lan He, Cai Yuan, Yanqi Huang, Zaiyi Liu, Changhong Liang
PURPOSE: This study aimed to investigate the capability of magnetic resonance (MR) imaging radiomics signatures for pretreatment prediction of early response to induction chemotherapy in patients with nasopharyngeal carcinoma (NPC). MATERIALS AND METHODS: This was a retrospective study consisting of 120 patients with biopsy-proven NPC (stage II-IV). Texture features were extracted from the pretreatment morphological MR images for each case. Radiomics signatures were obtained with the least absolute shrinkage and selection operator method (LASSO) logistic regression model...
January 2018: European Journal of Radiology
https://www.readbyqxmd.com/read/29273260/predicting-hypoxia-status-using-a-combination-of-contrast-enhanced-computed-tomography-and-18f-fluorodeoxyglucose-positron-emission-tomography-radiomics-features
#14
Mireia Crispin-Ortuzar, Aditya Apte, Milan Grkovski, Jung Hun Oh, Nancy Y Lee, Heiko Schöder, John L Humm, Joseph O Deasy
BACKGROUND AND PURPOSE: Hypoxia is a known prognostic factor in head and neck cancer. Hypoxia imaging PET radiotracers such as 18F-FMISO are promising but not widely available. The aim of this study was therefore to design a surrogate for 18F-FMISO TBRmax based on 18F-FDG PET and contrast-enhanced CT radiomics features, and to study its performance in the context of hypoxia-based patient stratification. METHODS: 121 lesions from 75 head and neck cancer patients were used in the analysis...
December 19, 2017: Radiotherapy and Oncology: Journal of the European Society for Therapeutic Radiology and Oncology
https://www.readbyqxmd.com/read/29251666/advanced-pet-imaging-in-oncology-status-and-developments-with-current-and-future-relevance-to-lung-cancer-care
#15
Wieland Voigt
PURPOSE OF REVIEW: This review highlights the status and developments of PET imaging in oncology, with particular emphasis on lung cancer. We discuss the significance of PET for diagnosis, staging, decision-making, monitoring of treatment response, and drug development. The PET key advantage, the noninvasive assessment of functional and molecular tumor characteristics including tumor heterogeneity, as well as PET trends relevant to cancer care are exemplified. RECENT FINDINGS: Advances of PET and radiotracer technology are encouraging for multiple fields of oncological research and clinical application, including in-depth assessment of PET images by texture analysis (radiomics)...
December 14, 2017: Current Opinion in Oncology
https://www.readbyqxmd.com/read/29246722/development-and-validation-of-a-predictive-radiomics-model-for-clinical-outcomes-in-stage-i-non-small-cell-lung-cancer
#16
Wen Yu, Chad Tang, Brian P Hobbs, Xiao Li, Eugene J Koay, Ignacio I Wistuba, Boris Sepesi, Carmen Behrens, Jaime Rodriguez Canales, Edwin Roger Parra Cuentas, Jeremy J Erasmus, Laurence E Court, Joe Y Chang
PURPOSE: To develop and validate a radiomics signature that can predict the clinical outcomes for patients with stage I non-small cell lung cancer (NSCLC). METHODS AND MATERIALS: We retrospectively analyzed contrast-enhanced computed tomography images of patients from a training cohort (n = 147) treated with surgery and an independent validation cohort (n = 295) treated with stereotactic ablative radiation therapy. Twelve radiomics features with established strategies for filtering and preprocessing were extracted...
November 15, 2017: International Journal of Radiation Oncology, Biology, Physics
https://www.readbyqxmd.com/read/29233837/radiomics-to-identify-high-risk-atherosclerotic-plaque-from-computed-tomography-the-power-of-quantification
#17
EDITORIAL
Damini Dey, Frederic Commandeur
No abstract text is available yet for this article.
December 2017: Circulation. Cardiovascular Imaging
https://www.readbyqxmd.com/read/29233836/radiomic-features-are-superior-to-conventional-quantitative-computed-tomographic-metrics-to-identify-coronary-plaques-with-napkin-ring-sign
#18
Márton Kolossváry, Júlia Karády, Bálint Szilveszter, Pieter Kitslaar, Udo Hoffmann, Béla Merkely, Pál Maurovich-Horvat
BACKGROUND: Napkin-ring sign (NRS) is an independent prognostic imaging marker of major adverse cardiac events. However, identification of NRS is challenging because of its qualitative nature. Radiomics is the process of extracting thousands of quantitative parameters from medical images to create big-data data sets that can identify distinct patterns in radiological images. Therefore, we sought to determine whether radiomic analysis improves the identification of NRS plaques. METHODS AND RESULTS: From 2674 patients referred to coronary computed tomographic angiography caused by stable chest pain, expert readers identified 30 patients with NRS plaques and matched these with 30 non-NRS plaques with similar degree of calcification, luminal obstruction, localization, and imaging parameters...
December 2017: Circulation. Cardiovascular Imaging
https://www.readbyqxmd.com/read/29230678/fractal-based-radiomic-approach-to-predict-complete-pathological-response-after-chemo-radiotherapy-in-rectal-cancer
#19
Davide Cusumano, Nicola Dinapoli, Luca Boldrini, Giuditta Chiloiro, Roberto Gatta, Carlotta Masciocchi, Jacopo Lenkowicz, Calogero Casà, Andrea Damiani, Luigi Azario, Johan Van Soest, Andre Dekker, Philippe Lambin, Marco De Spirito, Vincenzo Valentini
The aim of this study was to propose a methodology to investigate the tumour heterogeneity and evaluate its ability to predict pathologically complete response (pCR) after chemo-radiotherapy (CRT) in locally advanced rectal cancer (LARC). This approach consisted in normalising the pixel intensities of the tumour and identifying the different sub-regions using an intensity-based thresholding. The spatial organisation of these subpopulations was quantified using the fractal dimension (FD). This approach was implemented in a radiomic workflow and applied to 198 T2-weighted pre-treatment magnetic resonance (MR) images of LARC patients...
December 11, 2017: La Radiologia Medica
https://www.readbyqxmd.com/read/29224260/-ten-years-retrospective-review-of-the-application-of-digital-medical-technology-in-general-surgery-in-china
#20
C H Fang, Y Y Lau, W P Zhou, W Cai
Digital medical technology is a powerful tool which has forcefully promoted the development of general surgery in China. In this article, we reviews the application status of three-dimensional visualization and three-dimensional printing technology in general surgery, introduces the development situation of surgical navigation guided by optical and electromagnetic technology and preliminary attempt to combined with mixed reality applied to complicated hepatectomy, looks ahead the development direction of digital medicine in the era of artificial intelligence and big data on behalf of surgical robot and radiomics...
December 1, 2017: Zhonghua Wai Ke za Zhi [Chinese Journal of Surgery]
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