Read by QxMD icon Read


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
Noorazrul Yahya, Xin-Jane Chua, Hanani A Manan, Fuad Ismail
PURPOSE: This systematic review evaluates the completeness of dosimetric features and their inclusion as covariates in genetic-toxicity association studies. MATERIALS AND METHODS: Original research studies associating genetic features and normal tissue complications following radiotherapy were identified from PubMed. The use of dosimetric data was determined by mining the statement of prescription dose, dose fractionation, target volume selection or arrangement and dose distribution...
May 17, 2018: Strahlentherapie und Onkologie: Organ der Deutschen Röntgengesellschaft ... [et Al]
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
Robin W Jansen, Paul van Amstel, Roland M Martens, Irsan E Kooi, Pieter Wesseling, Adrianus J de Langen, Catharina W Menke-Van der Houven van Oordt, Bernard H E Jansen, Annette C Moll, Josephine C Dorsman, Jonas A Castelijns, Pim de Graaf, Marcus C de Jong
With targeted treatments playing an increasing role in oncology, the need arises for fast non-invasive genotyping in clinical practice. Radiogenomics is a rapidly evolving field of research aimed at identifying imaging biomarkers useful for non-invasive genotyping. Radiogenomic genotyping has the advantage that it can capture tumor heterogeneity, can be performed repeatedly for treatment monitoring, and can be performed in malignancies for which biopsy is not available. In this systematic review of 187 included articles, we compiled a database of radiogenomic associations and unraveled networks of imaging groups and gene pathways oncology-wide...
April 13, 2018: Oncotarget
Eun Kyoung Hong, Seung Hong Choi, Dong Jae Shin, Sang Won Jo, Roh-Eul Yoo, Koung Mi Kang, Tae Jin Yun, Ji-Hoon Kim, Chul-Ho Sohn, Sung-Hye Park, Jae-Kyung Won, Tae Min Kim, Chul-Kee Park, Il Han Kim, Soon Tae Lee
OBJECTIVES: To assess the association between MR imaging features and major genomic profiles in glioblastoma. METHODS: Qualitative and quantitative imaging features such as volumetrics and histogram analysis from normalised CBV (nCBV) and ADC (nADC) were evaluated based on both T2WI and CET1WI. The imaging parameters of different genetic profile groups were compared and regression analyses were used for identifying imaging-molecular associations. Progression-free survival (PFS) was analysed by a Kaplan-Meier test and Cox proportional hazards model...
May 2, 2018: European Radiology
Robin W Jansen, Marcus C de Jong, Irsan E Kooi, Selma Sirin, Sophia Göricke, Hervé J Brisse, Philippe Maeder, Paolo Galluzzi, Paul van der Valk, Jacqueline Cloos, Iris Eekhout, Jonas A Castelijns, Annette C Moll, Josephine C Dorsman, Pim de Graaf
Purpose To identify associations between magnetic resonance (MR) imaging features and gene expression in retinoblastoma. Materials and Methods A retinoblastoma MR imaging atlas was validated by using anonymized MR images from referral centers in Essen, Germany, and Paris, France. Images were from 39 patients with retinoblastoma (16 male and 18 female patients [the sex in five patients was unknown]; age range, 5-90 months; inclusion criterion: pretreatment MR imaging). This atlas was used to compare MR imaging features with genome-wide messenger RNA (mRNA) expression data from 60 consecutive patients obtained from 1995 to 2012 (35 male patients [58%]; age range, 2-69 months; inclusion criteria: pretreatment MR imaging, genome-wide mRNA expression data available)...
May 1, 2018: Radiology
Francesco Alessandrino, Atul B Shinagare, Dominick Bossé, Toni K Choueiri, Katherine M Krajewski
Radiogenomics, a field of radiology investigating the association between the imaging features of a disease and its gene expression pattern, has expanded considerably in the last few years. Recent advances in whole-genome sequencing of clear cell renal cell carcinoma (ccRCC) and the identification of mutations with prognostic significance have led to increased interest in the relationship between imaging and genomic data. ccRCC is particularly suitable for radiogenomic analysis as the relative paucity of mutated genes allows for more straightforward genomic-imaging associations...
April 30, 2018: Abdominal Radiology
M J Díaz Candamio, S Jha, J Martel Villagrán
Overdiagnosis, more than an error regarding the diagnosis, is an error regarding the prognosis. We cannot know what consequences some lesions that we detect by imaging would have on our patients' lives if they were left untreated. As long as it is not possible for imaging techniques to differentiate between lesions that will have an indolent course from those that will have an aggressive course, there will be overdiagnosis. Advanced imaging techniques, radiomics, and radiogenomics, together with artificial intelligence, promise advances in this sense...
April 20, 2018: Radiología
Roberto García-Figueiras, Sandra Baleato-González, Anwar R Padhani, Antonio Luna-Alcalá, Ana Marhuenda, Joan C Vilanova, Iria Osorio-Vázquez, Anxo Martínez-de-Alegría, Antonio Gómez-Caamaño
Imaging techniques are clinical decision-making tools in the evaluation of patients with colorectal cancer (CRC). The aim of this article is to discuss the potential of recent advances in imaging for diagnosis, prognosis, therapy planning, and assessment of response to treatment of CRC. Recent developments and new clinical applications of conventional imaging techniques such as virtual colonoscopy, dual-energy spectral computed tomography, elastography, advanced computing techniques (including volumetric rendering techniques and machine learning), magnetic resonance (MR) imaging-based magnetization transfer, and new liver imaging techniques, which may offer additional clinical information in patients with CRC, are summarized...
April 20, 2018: Radiographics: a Review Publication of the Radiological Society of North America, Inc
Ivana Jovčevska
The most aggressive brain malignancy, glioblastoma, accounts for 60-70% of all gliomas and is uniformly fatal. According to the molecular signature, glioblastoma is divided into four subtypes (proneural, neural, classical, and mesenchymal), each with its own genetic background. The Cancer Genome Atlas project provides information about the most common genetic changes in glioblastoma. They involve mutations in TP53, TERT, and PTEN, and amplifications in EFGR, PDGFRA, CDK4, CDK6, MDM2, and MDM4. Recently, epigenetics was used to demonstrate the oncogenic roles of miR-124, miR-137, and miR-128...
April 18, 2018: Critical Reviews in Clinical Laboratory Sciences
Ji Eun Park, Ho Sung Kim
Radiomics utilizes high-dimensional imaging data to discover the association with diagnostic, prognostic, predictive endpoint or radiogenomics. It is an emerging field of study that potentially depicts the intratumoral heterogeneity from quantitative and classified high-throughput data. The radiomics approach has an analytic pipeline where the imaging features are extracted, processed and analyzed. At this point, special data handling is essential because it faces issues of a high-dimensional biomarker compared to a single biomarker approach...
April 2018: Nuclear Medicine and Molecular Imaging
Benjamin M Ellingson, Lauren E Abrey, Sarah J Nelson, Timothy J Kaufmann, Josep Garcia, Olivier Chinot, Frank Saran, Ryo Nishikawa, Roger Henriksson, Warren P Mason, Wolfgang Wick, Nicholas Butowski, Keith L Ligon, Elizabeth R Gerstner, Howard Colman, John de Groot, Susan Chang, Ingo Mellinghoff, Robert J Young, Brian M Alexander, Rivka Colen, Jennie W Taylor, Isabel Arrillaga-Romany, Arnav Mehta, Raymond Y Huang, Whitney B Pope, David Reardon, Tracy Batchelor, Michael Prados, Evanthia Galanis, Patrick Y Wen, Timothy F Cloughesy
Background: In the current study, we pooled imaging data in newly diagnosed GBM patients from international multicenter clinical trials, single institution databases, and multicenter clinical trial consortiums to identify the relationship between post-operative residual enhancing tumor volume and overall survival (OS). Methods: Data from 1,511 newly diagnosed GBM patients from 5 data sources were included in the current study: 1) a single institution database from UCLA (N=398; Discovery); 2) patients from the Ben and Cathy Ivy Foundation for Early Phase Clinical Trials Network Radiogenomics Database (N=262 from 8 centers; Confirmation); 3) the chemoradiation placebo arm from an international phase III trial (AVAglio; N=394 from 120 locations in 23 countries; Validation); 4) the experimental arm from AVAglio examining chemoradiation plus bevacizumab (N=404 from 120 locations in 23 countries; Exploratory Set 1); and 5) an Alliance (N0874) Phase I/II trial of vorinostat plus chemoradiation (N=53; Exploratory Set 2)...
April 5, 2018: Neuro-oncology
Renata R Almeida, Grace C Lo, Manuel Patino, Bernardo Bizzo, Rodrigo Canellas, Dushyant V Sahani
OBJECTIVE: The purpose of this article is to discuss the advances in CT acquisition and image postprocessing as they apply to imaging the pancreas and to conceptualize the role of radiogenomics and machine learning in pancreatic imaging. CONCLUSION: CT is the preferred imaging modality for assessment of pancreatic diseases. Recent advances in CT (dual-energy CT, CT perfusion, CT volumetry, and radiogenomics) and emerging computational algorithms (machine learning) have the potential to further increase the value of CT in pancreatic imaging...
April 9, 2018: AJR. American Journal of Roentgenology
Jose-Gerardo Tamez-Peña, Juan-Andrés Rodriguez-Rojas, Hugo Gomez-Rueda, Jose-Maria Celaya-Padilla, Roxana-Alicia Rivera-Prieto, Rebeca Palacios-Corona, Margarita Garza-Montemayor, Servando Cardona-Huerta, Victor Treviño
In breast cancer, well-known gene expression subtypes have been related to a specific clinical outcome. However, their impact on the breast tissue phenotype has been poorly studied. Here, we investigate the association of imaging data of tumors to gene expression signatures from 71 patients with breast cancer that underwent pre-treatment digital mammograms and tumor biopsies. From digital mammograms, a semi-automated radiogenomics analysis generated 1,078 features describing the shape, signal distribution, and texture of tumors along their contralateral image used as control...
2018: PloS One
Ramona K Charaghvandi, Sua Yoo, Bram van Asselen, Anna Rodrigues, Desirée H J G van den Bongard, Janet K Horton
Background: Following breast-conserving surgery and post-operative 3D-conformal accelerated partial breast irradiation (APBI), suboptimal cosmetic results have been reported. Preoperative radiation delivery to the intact tumor enables better target visualization and treatment volume reduction. Single dose preoperative APBI has the potential to improve toxicity profiles, reduce treatment burden and enable in vivo exploration of breast cancer radiogenomics. Purpose: Develop practical guidelines for single dose external beam preoperative APBI...
October 2017: Clinical and Translational Radiation Oncology
Maikel Verduin, Inge Compter, Danny Steijvers, Alida A Postma, Daniëlle B P Eekers, Monique M Anten, Linda Ackermans, Mark Ter Laan, Ralph T H Leijenaar, Tineke van de Weijer, Vivianne C G Tjan-Heijnen, Ann Hoeben, Marc Vooijs
Glioblastoma is the most aggressive adult primary brain tumor which is incurable despite intensive multimodal treatment. Inter- and intratumoral heterogeneity poses one of the biggest barriers in the diagnosis and treatment of glioblastoma, causing differences in treatment response and outcome. Noninvasive prognostic and predictive tests are highly needed to complement the current armamentarium. Noninvasive testing of glioblastoma uses multiple techniques that can capture the heterogeneity of glioblastoma. This set of diagnostic approaches comprises advanced MRI techniques, nuclear imaging, liquid biopsy, and new integrated approaches including radiogenomics and radiomics...
2018: Disease Markers
Saima Rathore, Hamed Akbari, Martin Rozycki, Kalil G Abdullah, MacLean P Nasrallah, Zev A Binder, Ramana V Davuluri, Robert A Lustig, Nadia Dahmane, Michel Bilello, Donald M O'Rourke, Christos Davatzikos
The remarkable heterogeneity of glioblastoma, across patients and over time, is one of the main challenges in precision diagnostics and treatment planning. Non-invasive in vivo characterization of this heterogeneity using imaging could assist in understanding disease subtypes, as well as in risk-stratification and treatment planning of glioblastoma. The current study leveraged advanced imaging analytics and radiomic approaches applied to multi-parametric MRI of de novo glioblastoma patients (n = 208 discovery, n = 53 replication), and discovered three distinct and reproducible imaging subtypes of glioblastoma, with differential clinical outcome and underlying molecular characteristics, including isocitrate dehydrogenase-1 (IDH1), O6 -methylguanine-DNA methyltransferase, epidermal growth factor receptor variant III (EGFRvIII), and transcriptomic subtype composition...
March 23, 2018: Scientific Reports
Alessandro Furlan, Omar Almusa, Robinson K Yu, Hersh Sagreiya, Amir A Borhani, Kyongtae T Bae, J Wallis Marsh
OBJECTIVE: To evaluate the association between the liver imaging reporting and data system (LI-RADS) categories and features and the fractional allelic imbalance (FAI) rate index of hepatocellular carcinoma (HCC). METHODS: The institutional review board approved this retrospective study. Medical records collected between January 2008 and December 2013 were reviewed to find patients with histologically confirmed HCC, FAI analysis, and CT or MR imaging of the liver...
April 4, 2018: British Journal of Radiology
Alexander Lam, Kevin Bui, Eduardo Hernandez Rangel, Michael Nguyentat, Dayantha Fernando, Kari Nelson, Nadine Abi-Jaoudeh
Radiogenomics involves the integration of mineable data from imaging phenotypes with genomic and clinical data to establish predictive models using machine learning. As a noninvasive surrogate for a tumor's in vivo genetic profile, radiogenomics may potentially provide data for patient treatment stratification. Radiogenomics may also supersede the shortcomings associated with genomic research, such as the limited availability of high-quality tissue and restricted sampling of tumoral subpopulations. Interventional radiologists are well suited to circumvent these obstacles through advancements in image-guided tissue biopsies and intraprocedural imaging...
May 2018: Journal of Vascular and Interventional Radiology: JVIR
Philipp Kickingereder, Ovidiu Cristian Andronesi
Magnetic resonance imaging plays a key role in diagnosis and treatment monitoring of brain tumors. Novel imaging techniques that specifically interrogate aspects of underlying tumor biology and biochemical pathways have great potential in neuro-oncology. This review focuses on the emerging role of 2-hydroxyglutarate-targeted magnetic resonance spectroscopy, as well as radiomics and radiogenomics in establishing diagnosis for isocitrate dehydrogenase mutant gliomas, and for monitoring treatment response and predicting prognosis of this group of brain tumor patients...
February 2018: Seminars in Neurology
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"