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Radiomics, cancer

Sarah Boughdad, Christophe Nioche, Fanny Orlhac, Laurine Jehl, Laurence Champion, Irène Buvat
Background: To help interpret measurements in breast tissue and breast tumors from 18 F-FDG PET scans, we studied the influence of age in measurements of PET parameters in normal breast tissue and in a breast cancer (BC) population. Results: 522 women were included: 331 pts without history of BC (B-VOI) and 191 patients with BC (T-VOI). In B-VOI, there were significant differences between all age groups for Standardized Uptake Values (SUVs) and for 12 textural indices (TI) whereas histogram-based indices (HBI) did not vary between age groups...
July 20, 2018: Oncotarget
Kevin Nguyen, Maksat Haytmyradov, Hassan Mostafavi, Rakesh Patel, Murat Surucu, Alec Block, Matthew M Harkenrider, John C Roeske
Template-based matching algorithms are currently being considered for markerless motion tracking of lung tumors. These algorithms use tumor templates derived from the planning CT scan, and track the motion of the tumor on single energy fluoroscopic images obtained at the time of treatment. In cases where bone may obstruct the view of the tumor, dual energy fluoroscopy may be used to enhance soft tissue contrast. The goal of this study is to predict which tumors will have a high degree of accuracy for markerless motion tracking based on radiomic features obtained from the planning CT scan, using peak-to-sidelobe ratio (PSR) as a surrogate of tracking accuracy...
2018: Frontiers in Oncology
Akbar N Ashrafi, Alessandro Tafuri, Giovanni E Cacciamani, Daniel Park, Andre L de Castro Abreu, Inderbir S Gill
PURPOSE OF REVIEW: To present a perspective on the current status and future directions of focal therapy for prostate cancer (PCa). RECENT FINDINGS: Focal therapy for localized PCa is a rapidly evolving field. Various recent concepts - the index lesion driving prognosis, the enhanced detection of clinically significant PCa using multiparametric MRI and targeted biopsy, improved risk-stratification using novel blood/tissue biomarkers, the recognition that reducing radical treatment-related morbidity (along with reducing pathologic progression) is a clinically meaningful end-point - have all led to a growing interest in focal therapy...
August 10, 2018: Current Opinion in Urology
Yangyang Kan, Di Dong, Yuchen Zhang, Wenyan Jiang, Nannan Zhao, Lu Han, Mengjie Fang, Yali Zang, Chaoen Hu, Jie Tian, Chunming Li, Yahong Luo
BACKGROUND: Lymph node metastasis (LNM) is the principal risk factor for poor outcomes in early-stage cervical cancer. Radiomics may offer a noninvasive way for predicting the stage of LNM. PURPOSE: To evaluate a radiomic signature of LN involvement based on sagittal T1 contrast-enhanced (CE) and T2 MRI sequences. STUDY TYPE: Retrospective. POPULATION: In all, 143 patients were randomly divided into two primary and validation cohorts with 100 patients in the primary cohort and 43 patients in the validation cohort...
August 13, 2018: Journal of Magnetic Resonance Imaging: JMRI
Landon S Wootton, Matthew J Nyflot, W Art Chaovalitwongse, Eric Ford
PURPOSE: To improve the detection of errors in intensity-modulated radiation therapy (IMRT) with a novel method that uses quantitative image features from radiomics to analyze gamma distributions generated during patient specific quality assurance (QA). METHODS AND MATERIALS: One hundred eighty-six IMRT beams from 23 patient treatments were delivered to a phantom and measured with electronic portal imaging device dosimetry. The treatments spanned a range of anatomic sites; half were head and neck treatments, and the other half were drawn from treatments for lung and rectal cancers, sarcoma, and glioblastoma...
September 1, 2018: International Journal of Radiation Oncology, Biology, Physics
Michael H Soike, Emory R McTyre, Nameeta Shah, Ralph B Puchalski, Jordan A Holmes, Anna K Paulsson, Lance D Miller, Christina K Cramer, Glenn J Lesser, Roy E Strowd, William H Hinson, Ryan T Mott, Annette J Johnson, Hui-Wen Lo, Adrian W Laxton, Stephen B Tatter, Waldemar Debinski, Michael D Chan
PURPOSE: For glioblastoma (GBM), imaging response (IR) or pseudoprogression (PSP) is frequently observed after chemoradiation and may connote a favorable prognosis. With tumors categorized by the Cancer Genome Atlas Project (mesenchymal, classical, neural, and proneural) and by methylguanine-methyltransferase (MGMT) methylation status, we attempted to determine if certain genomic or molecular subtypes of GBM were specifically associated with IR or PSP. METHODS: Patients with GBM treated at two institutions were reviewed...
August 10, 2018: Neuroradiology
E J van Helden, Y J L Vacher, W N van Wieringen, F H P van Velden, H M W Verheul, O S Hoekstra, R Boellaard, C W Menke-van der Houven van Oordt
BACKGROUND: The aim of this study was to assess radiomics features on pre-treatment [18 F]FDG positron emission tomography (PET) as potential biomarkers for response and survival in patients with metastatic colorectal cancer (mCRC). METHODS: Patients with mCRC underwent [18 F]FDG PET/computed tomography (CT) prior to first- or third-line palliative systemic treatment. Tumour lesions were semiautomatically delineated and standard uptake value (SUV), metabolically active tumour volume (MATV), total lesion glycolysis (TLG), entropy, area under the curve of the cumulative SUV-volume histogram (AUC-CSH), compactness and sphericity were obtained...
August 9, 2018: European Journal of Nuclear Medicine and Molecular Imaging
Stefan Leger, Alex Zwanenburg, Karoline Pilz, Sebastian Zschaeck, Klaus Zöphel, Jörg Kotzerke, Andreas Schreiber, Daniel Zips, Mechthild Krause, Michael Baumann, Esther G C Troost, Christian Richter, Steffen Löck
BACKGROUND AND PURPOSE: The development of radiomic risk models to predict clinical outcome is usually based on pre-treatment imaging, such as computed tomography (CT) scans used for radiation treatment planning. Imaging data acquired during the course of treatment may improve their prognostic performance. We compared the performance of radiomic risk models based on the pre-treatment CT and CT scans acquired in the second week of therapy. MATERIAL AND METHODS: Treatment planning and second week CT scans of 78 head and neck squamous cell carcinoma patients treated with primary radiochemotherapy were collected...
August 4, 2018: Radiotherapy and Oncology: Journal of the European Society for Therapeutic Radiology and Oncology
Shaoxu Wu, Junjiong Zheng, Yong Li, Zhuo Wu, Siya Shi, Ming Huang, Hao Yu, Wen Dong, Jian Huang, Tianxin Lin
BACKGROUND: Preoperative lymph node (LN) status is important for the treatment of bladder cancer (BCa). However, a proportion of patients are at high risk for inaccurate clinical nodal staging by current methods. Here, we report an accurate magnetic resonance imaging (MRI)-based radiomics signature for the individual preoperative prediction of LN metastasis in BCa. METHODS: In total, 103 eligible BCa patients were divided into a training set (n = 69) and a validation set (n = 34)...
August 2, 2018: EBioMedicine
Bogdan Badic, Marie Charlotte Desseroit, Mathieu Hatt, Dimitris Visvikis
RATIONALE AND OBJECTIVES: The aim of our study was to assess the relationships between textural features extracted from contrast enhanced (CE) and noncontrast enhanced (NCE) computed tomography (CT) images of primary colorectal cancer, in order to identify radiomics features more likely to provide potential complementary information regarding outcome. MATERIALS AND METHODS: Sixty-one patients with primary colorectal cancer underwent both CE-CT and NCE-CT scans within the same acquisition...
July 30, 2018: Academic Radiology
Ruben T H M Larue, Remy Klaassen, Arthur Jochems, Ralph T H Leijenaar, Maarten C C M Hulshof, Mark I van Berge Henegouwen, Wendy M J Schreurs, Meindert N Sosef, Wouter van Elmpt, Hanneke W M van Laarhoven, Philippe Lambin
BACKGROUND: Radiomic features retrieved from standard CT-images have shown prognostic power in several tumor sites. In this study, we investigated the prognostic value of pretreatment CT radiomic features to predict overall survival of esophageal cancer patients after chemoradiotherapy. MATERIAL AND METHODS: Two datasets of independent centers were analyzed, consisting of esophageal cancer patients treated with concurrent chemotherapy (Carboplatin/Paclitaxel) and 41...
August 1, 2018: Acta Oncologica
Sylvain Reuzé, Antoine Schernberg, Fanny Orlhac, Roger Sun, Cyrus Chargari, Laurent Dercle, Eric Deutsch, Irène Buvat, Charlotte Robert
Radiomics is a recent area of research in precision medicine and is based on the extraction of a large variety of features from medical images. In the field of radiation oncology, comprehensive image analysis is crucial to personalization of treatments. A better characterization of local heterogeneity and the shape of the tumor, depicting individual cancer aggressiveness, could guide dose planning and suggest volumes in which a higher dose is needed for better tumor control. In addition, noninvasive imaging features that could predict treatment outcome from baseline scans could help the radiation oncologist to determine the best treatment strategies and to stratify patients as at low risk or high risk of recurrence...
May 22, 2018: International Journal of Radiation Oncology, Biology, Physics
David Bonekamp, Simon Kohl, Manuel Wiesenfarth, Patrick Schelb, Jan Philipp Radtke, Michael Götz, Philipp Kickingereder, Kaneschka Yaqubi, Bertram Hitthaler, Nils Gählert, Tristan Anselm Kuder, Fenja Deister, Martin Freitag, Markus Hohenfellner, Boris A Hadaschik, Heinz-Peter Schlemmer, Klaus H Maier-Hein
Purpose To compare biparametric contrast-free radiomic machine learning (RML), mean apparent diffusion coefficient (ADC), and radiologist assessment for characterization of prostate lesions detected during prospective MRI interpretation. Materials and Methods This single-institution study included 316 men (mean age ± standard deviation, 64.0 years ± 7.8) with an indication for MRI-transrectal US fusion biopsy between May 2015 and September 2016 (training cohort, 183 patients; test cohort, 133 patients). Lesions identified by prospective clinical readings were manually segmented for mean ADC and radiomics analysis...
July 31, 2018: Radiology
Jie Meng, Shunli Liu, Lijing Zhu, Li Zhu, Huanhuan Wang, Li Xie, Yue Guan, Jian He, Xiaofeng Yang, Zhengyang Zhou
This prospective study explored the application of texture features extracted from T2WI and apparent diffusion coefficient (ADC) maps in predicting recurrence of advanced cervical cancer patients treated with concurrent chemoradiotherapy (CCRT). We included 34 patients with advanced cervical cancer who underwent pelvic MR imaging before, during and after CCRT. Radiomic feature extraction was performed by using software at T2WI and ADC maps. The performance of texture parameters in predicting recurrence was evaluated...
July 30, 2018: Scientific Reports
Ahmad Chaddad, Michael J Kucharczyk, Tamim Niazi
BACKGROUND: Novel radiomic features are enabling the extraction of biological data from routine sequences of MRI images. This study's purpose was to establish a new model, based on the joint intensity matrix (JIM), to predict the Gleason score (GS) of prostate cancer (PCa) patients. METHODS: A retrospective dataset comprised of the diagnostic imaging data of 99 PCa patients was used, extracted from The Cancer Imaging Archive's (TCIA) T2-Weighted (T2-WI) and apparent diffusion coefficient (ADC) images...
July 28, 2018: Cancers
Jooae Choe, Sang Min Lee, Kyung-Hyun Do, Jung Bok Lee, Sang Min Lee, June-Goo Lee, Joon Beom Seo
OBJECTIVES: To investigate whether radiomics on iodine overlay maps from dual-energy computed tomography (DECT) can predict survival outcomes in patients with resectable lung cancer. METHODS: Ninety-three lung cancer patients eligible for curative surgery were examined with DECT at the time of diagnosis. The median follow-up was 60.4 months. Radiomic features of the entire primary tumour were extracted from iodine overlay maps generated by DECT. A Cox proportional hazards regression model was used to determine independent predictors of overall survival (OS) and disease-free survival (DFS), respectively...
July 27, 2018: European Radiology
Pascal O Zinn, Sanjay K Singh, Aikaterini Kotrotsou, Islam Hassan, Ginu Thomas, Markus M Luedi, Ahmed Elakkad, Nabil Elshafeey, Tagwa Idris, Jennifer Mosley, Joy Gumin, Gregory N Fuller, John Frederick deGroot, Veerabhadran Baladandayuthapani, Erik P Sulman, Ashok J Kumar, Raymond Sawaya, Frederick F Lang, David Piwnica-Worms, Rivka R Colen
PURPOSE: Radiomics is the extraction of multidimensional imaging-features which when correlated with genomics is termed radiogenomics. However, radiogenomic biological validation is not sufficiently described in the literature. We seek to establish causality between differential gene expression status and MRI-extracted radiomic-features in glioblastoma. METHODS: Radiogenomic predictions and validation were done using the Cancer Genome Atlas and Repository of Molecular Brain Neoplasia Data glioblastoma patients (N=93) and orthotopic xenografts (OX)(N=40)...
July 27, 2018: Clinical Cancer Research: An Official Journal of the American Association for Cancer Research
Fei Yang, John C Ford, Nesrin Dogan, Kyle R Padgett, Adrian L Breto, Matthew C Abramowitz, Alan Dal Pra, Alan Pollack, Radka Stoyanova
In radiotherapy (RT) of prostate cancer, dose escalation has been shown to reduce biochemical failure. Dose escalation only to determinate prostate tumor habitats has the potential to improve tumor control with less toxicity than when the entire prostate is dose escalated. Other issues in the treatment of the RT patient include the choice of the RT technique (hypo- or standard fractionation) and the use and length of concurrent/adjuvant androgen deprivation therapy (ADT). Up to 50% of high-risk men demonstrate biochemical failure suggesting that additional strategies for defining and treating patients based on improved risk stratification are required...
June 2018: Translational Andrology and Urology
Jaber Beik, Mohammad Bagher Shiran, Ziaeddin Abed, Isaac Shiri, Ali Ghadimi-Daresajini, Forough Farkhondeh, Habib Ghaznavi, Ali Shakeri-Zadeh
PURPOSE: As a non-invasive and non-ionizing radiation, ultrasound can be focused remotely, transferring acoustic energy deep in the body, thereby addressing the penetration depth barrier of the light-based therapies. In cancer therapy, the effectiveness of ultrasound can be enhanced by utilizing nanomaterials that exhibit sonosensitizing properties called as nanosonosensitizers. The gold nanoparticle (AuNP) has been recently presented as a potent nanosonosensitizer with the potential to simultaneously enhance both the thermal and mechanical interactions of ultrasound with the tissue of the human body...
July 25, 2018: Medical Physics
Jinrong Qu, Chen Shen, Jianjun Qin, Zhaoqi Wang, Zhenyu Liu, Jia Guo, Hongkai Zhang, Pengrui Gao, Tianxia Bei, Yingshu Wang, Hui Liu, Ihab R Kamel, Jie Tian, Hailiang Li
PURPOSE: To assess the role of the MR radiomic signature in preoperative prediction of lymph node (LN) metastasis in patients with esophageal cancer (EC). PATIENTS AND METHODS: A total of 181 EC patients were enrolled in this study between April 2015 and September 2017. Their LN metastases were pathologically confirmed. The first half of this cohort (90 patients) was set as the training cohort, and the second half (91 patients) was set as the validation cohort. A total of 1578 radiomic features were extracted from MR images (T2-TSE-BLADE and contrast-enhanced StarVIBE)...
July 23, 2018: European Radiology
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