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https://www.readbyqxmd.com/read/28194699/efficacy-and-safety-of-2-topical-propranolol-cream-for-the-treatment-of-proliferating-infantile-strawberry-hemangiomas
#1
Yuanyuan Wang, Xingcun Zhang, Yadong Yang, Junbo Zhang, Yunchuan Yang, Yuangang Lu
OBJECTIVE: To evaluate the efficacy and safety of 2% topical propranolol cream in the treatment of proliferating infantile strawberry hemangiomas. METHODS: A total of 40 infants were enrolled; 2% propranolol cream was applied three times daily. In the subsequent monthly visit, dynamic changes in tumor size, texture, and color were recorded. The adverse events (AEs) were observed. Treatment outcomes were scored on a four-point scale. All patients were followed up for 12 mo after treatment...
February 14, 2017: Indian Journal of Pediatrics
https://www.readbyqxmd.com/read/28190856/virilism-and-ectopic-expression-of-hsd17b5-in-mature-cystic-teratoma
#2
Yohei Kawaguchi, Hiroko Mizuno, Mai Horikawa, Mayuko Kano, Kengo Yamada, Fumiko Yamakawa, Takashi Maekawa, Yuto Yamazaki, Keely M McNamara, Hironobu Sasano, Masayuki Hayashi
Mature cystic teratoma (MCT) is rarely involved in the overproduction of steroid hormones in contrast to sex cord stromal tumors. A 31-year-old woman visited our hospital with hirsutism, hoarseness, and hair loss from the scalp. Serum testosterone and free-testosterone levels were 7.3 ng/ml and 2.3 pg/ml, respectively, which were markedly in excess of the age adjusted female standard levels. Basal blood levels of steroid hormones and serum levels of 17-hydroxyprogesterone at 1 h after intravenous injection of adrenocorticotropic hormone demonstrated that 21-hydroxylase deficiency was not the underlying cause of her virilization...
2017: Tohoku Journal of Experimental Medicine
https://www.readbyqxmd.com/read/28187893/computer-aided-grading-of-gliomas-based-on-local-and-global-mri-features
#3
Kevin Li-Chun Hsieh, Chung-Ming Lo, Chih-Jou Hsiao
BACKGROUND AND OBJECTIVES: A computer-aided diagnosis (CAD) system based on quantitative magnetic resonance imaging (MRI) features was developed to evaluate the malignancy of diffuse gliomas, which are central nervous system tumors. METHODS: The acquired image database for the CAD performance evaluation was composed of 34 glioblastomas and 73 diffuse lower-grade gliomas. In each case, tissues enclosed in a delineated tumor area were analyzed according to their gray-scale intensities on MRI scans...
February 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28187891/automated-classification-of-maxillofacial-cysts-in-cone-beam-ct-images-using-contourlet-transformation-and-spherical-harmonics
#4
Fatemeh Abdolali, Reza Aghaeizadeh Zoroofi, Yoshito Otake, Yoshinobu Sato
BACKGROUND AND OBJECTIVE: Accurate detection of maxillofacial cysts is an essential step for diagnosis, monitoring and planning therapeutic intervention. Cysts can be of various sizes and shapes and existing detection methods lead to poor results. Customizing automatic detection systems to gain sufficient accuracy in clinical practice is highly challenging. For this purpose, integrating the engineering knowledge in efficient feature extraction is essential. METHODS: This paper presents a novel framework for maxillofacial cysts detection...
February 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28182052/study-of-nuclear-morphometry-on-cytology-specimens-of-benign-and-malignant-breast-lesions-a-study-of-122-cases
#5
Anamika Kashyap, Manjula Jain, Shailaja Shukla, Manoj Andley
BACKGROUND: Breast cancer has emerged as a leading site of cancer among women in India. Fine needle aspiration cytology (FNAC) has been routinely applied in assessment of breast lesions. Cytological evaluation in breast lesions is subjective with a "gray zone" of 6.9-20%. Quantitative evaluation of nuclear size, shape, texture, and density parameters by morphometry can be of diagnostic help in breast tumor. AIMS: To apply nuclear morphometry on cytological breast aspirates and assess its role in differentiating between benign and malignant breast lesions with derivation of suitable cut-off values between the two groups...
January 2017: Journal of Cytology
https://www.readbyqxmd.com/read/28177554/identifying-relations-between-imaging-phenotypes-and-molecular-subtypes-of-breast-cancer-model-discovery-and-external-validation
#6
Jia Wu, Xiaoli Sun, Jeff Wang, Yi Cui, Fumi Kato, Hiroki Shirato, Debra M Ikeda, Ruijiang Li
PURPOSE: To determine whether dynamic contrast enhancement magnetic resonance imaging (DCE-MRI) characteristics of the breast tumor and background parenchyma can distinguish molecular subtypes (ie, luminal A/B or basal) of breast cancer. MATERIALS AND METHODS: In all, 84 patients from one institution and 126 patients from The Cancer Genome Atlas (TCGA) were used for discovery and external validation, respectively. Thirty-five quantitative image features were extracted from DCE-MRI (1...
February 8, 2017: Journal of Magnetic Resonance Imaging: JMRI
https://www.readbyqxmd.com/read/28166261/radiomic-analysis-reveals-dce-mri-features-for-prediction-of-molecular-subtypes-of-breast-cancer
#7
Ming Fan, Hui Li, Shijian Wang, Bin Zheng, Juan Zhang, Lihua Li
The purpose of this study was to investigate the role of features derived from breast dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and to incorporated clinical information to predict the molecular subtypes of breast cancer. In particular, 60 breast cancers with the following four molecular subtypes were analyzed: luminal A, luminal B, human epidermal growth factor receptor-2 (HER2)-over-expressing and basal-like. The breast region was segmented and the suspicious tumor was depicted on sequentially scanned MR images from each case...
2017: PloS One
https://www.readbyqxmd.com/read/28154470/a-deep-convolutional-neural-network-for-segmenting-and-classifying-epithelial-and-stromal-regions-in-histopathological-images
#8
Jun Xu, Xiaofei Luo, Guanhao Wang, Hannah Gilmore, Anant Madabhushi
Epithelial (EP) and stromal (ST) are two types of tissues in histological images. Automated segmentation or classification of EP and ST tissues is important when developing computerized system for analyzing the tumor microenvironment. In this paper, a Deep Convolutional Neural Networks (DCNN) based feature learning is presented to automatically segment or classify EP and ST regions from digitized tumor tissue microarrays (TMAs). Current approaches are based on handcraft feature representation, such as color, texture, and Local Binary Patterns (LBP) in classifying two regions...
May 26, 2016: Neurocomputing
https://www.readbyqxmd.com/read/28152904/quality-and-value-of-subspecialty-reinterpretation-of-outside-thoracic-ct-scans-of-patients-referred-to-a-tertiary-cancer-center
#9
Jeremy J Erasmus, Mylene Truong, Reginald F Munden, Jo-Anne O Shepard, Ryan Kristopher Clarke, Joseph Rodgers Steele
: 265 Background: At tertiary cancer centers, physicians frequently request reinterpretation of imaging studies performed at outside institutions. The purposes of this study were to determine the quality of outside computed tomography (CT) scans of the chest and compare the accuracy of accompanying radiology reports from outside institutions and our multidisciplinary cancer center. METHODS: Two thoracic radiologists graded the quality of 59 outside chest CT scans and generated independent reports for 52 of the scans...
March 2016: Journal of Clinical Oncology: Official Journal of the American Society of Clinical Oncology
https://www.readbyqxmd.com/read/28149958/radiomics-of-lung-nodules-a-multi-institutional-study-of-robustness-and-agreement-of-quantitative-imaging-features
#10
Jayashree Kalpathy-Cramer, Artem Mamomov, Binsheng Zhao, Lin Lu, Dmitry Cherezov, Sandy Napel, Sebastian Echegaray, Daniel Rubin, Michael McNitt-Gray, Pechin Lo, Jessica C Sieren, Johanna Uthoff, Samantha K N Dilger, Brandan Driscoll, Ivan Yeung, Lubomir Hadjiiski, Kenny Cha, Yoganand Balagurunathan, Robert Gillies, Dmitry Goldgof
Radiomics is to provide quantitative descriptors of normal and abnormal tissues during classification and prediction tasks in radiology and oncology. Quantitative Imaging Network members are developing radiomic "feature" sets to characterize tumors, in general, the size, shape, texture, intensity, margin, and other aspects of the imaging features of nodules and lesions. Efforts are ongoing for developing an ontology to describe radiomic features for lung nodules, with the main classes consisting of size, local and global shape descriptors, margin, intensity, and texture-based features, which are based on wavelets, Laplacian of Gaussians, Law's features, gray-level co-occurrence matrices, and run-length features...
December 2016: Tomography: a Journal for Imaging Research
https://www.readbyqxmd.com/read/28130689/comparison-of-machine-learning-methods-for-classifying-mediastinal-lymph-node-metastasis-of-non-small-cell-lung-cancer-from-18-f-fdg-pet-ct-images
#11
Hongkai Wang, Zongwei Zhou, Yingci Li, Zhonghua Chen, Peiou Lu, Wenzhi Wang, Wanyu Liu, Lijuan Yu
BACKGROUND: This study aimed to compare one state-of-the-art deep learning method and four classical machine learning methods for classifying mediastinal lymph node metastasis of non-small cell lung cancer (NSCLC) from (18)F-FDG PET/CT images. Another objective was to compare the discriminative power of the recently popular PET/CT texture features with the widely used diagnostic features such as tumor size, CT value, SUV, image contrast, and intensity standard deviation. The four classical machine learning methods included random forests, support vector machines, adaptive boosting, and artificial neural network...
December 2017: EJNMMI Research
https://www.readbyqxmd.com/read/28114349/dna-methylation-changes-in-valproic-acid-treated-hela-cells-as-assessed-by-image-analysis-immunofluorescence-and-vibrational-microspectroscopy
#12
Giovana M B Veronezi, Marina Barreto Felisbino, Maria Sílvia V Gatti, Maria Luiza S Mello, Benedicto de Campos Vidal
Valproic acid (VPA), a well-known histone deacetylase inhibitor, has been reported to affect the DNA methylation status in addition to inducing histone hyperacetylation in several cell types. In HeLa cells, VPA promotes histone acetylation and chromatin remodeling. However, DNA demethylation was not checked in this cell model for standing effects longer than those provided by histone acetylation, which is a rapid and transient phenomenon. Demonstration of VPA-induced DNA demethylation in HeLa cells would contribute to understanding the effect of VPA on an aggressive tumor cell line...
2017: PloS One
https://www.readbyqxmd.com/read/28110476/three-dimensional-texture-features-from-intensity-and-high-order-derivative-maps-for-the-discrimination-between-bladder-tumors-and-wall-tissues-via-mri
#13
Xiaopan Xu, Xi Zhang, Qiang Tian, Guopeng Zhang, Yang Liu, Guangbin Cui, Jiang Meng, Yuxia Wu, Tianshuai Liu, Zengyue Yang, Hongbing Lu
PURPOSE: This study aims to determine the three-dimensional (3D) texture features extracted from intensity and high-order derivative maps that could reflect textural differences between bladder tumors and wall tissues, and propose a noninvasive, image-based strategy for bladder tumor differentiation preoperatively. METHODS: A total of 62 cancerous and 62 wall volumes of interest (VOI) were extracted from T2-weighted MRI datasets of 62 patients with pathologically confirmed bladder cancer...
January 21, 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28108975/3d-printed-soft-tissue-physical-models-of-renal-malignancies-for-individualized-surgical-simulation-a-feasibility-study
#14
Michael M Maddox, Allison Feibus, James Liu, Julie Wang, Raju Thomas, Jonathan L Silberstein
To construct patient-specific physical three-dimensional (3D) models of renal units with materials that approximates the properties of renal tissue to allow pre-operative and robotic training surgical simulation, 3D physical kidney models were created (3DSystems, Rock Hill, SC) using computerized tomography to segment structures of interest (parenchyma, vasculature, collection system, and tumor). Images were converted to a 3D surface mesh file for fabrication using a multi-jet 3D printer. A novel construction technique was employed to approximate normal renal tissue texture, printers selectively deposited photopolymer material forming the outer shell of the kidney, and subsequently, an agarose gel solution was injected into the inner cavity recreating the spongier renal parenchyma...
January 20, 2017: Journal of Robotic Surgery
https://www.readbyqxmd.com/read/28079702/radiomic-analysis-reveals-prognostic-information-in-t1-weighted-baseline-magnetic-resonance-imaging-in-patients-with-glioblastoma
#15
Michael Ingrisch, Moritz Jörg Schneider, Dominik Nörenberg, Giovanna Negrao de Figueiredo, Klaus Maier-Hein, Bogdana Suchorska, Ulrich Schüller, Nathalie Albert, Hartmut Brückmann, Maximilian Reiser, Jörg-Christian Tonn, Birgit Ertl-Wagner
OBJECTIVES: The aim of this study was to investigate whether radiomic analysis with random survival forests (RSFs) can predict overall survival from T1-weighted contrast-enhanced baseline magnetic resonance imaging (MRI) scans in a cohort of glioblastoma multiforme (GBM) patients with uniform treatment. MATERIALS AND METHODS: This retrospective study was approved by the institutional review board and informed consent was waived. The MRI scans from 66 patients with newly diagnosed GBM from a previous prospective study were analyzed...
January 9, 2017: Investigative Radiology
https://www.readbyqxmd.com/read/28073207/intraoperative-ultrasound-guided-enucleation-of-testicular-nodule
#16
Riccardo Boschian, Giovanni Liguori, Stefano Bucci, Michele Bertolotto, Carlo Trombetta
OBJECTIVE: We report a case of enucleation of a non-palpable right testicular lesion found incidentally at testicular ultrasonography during investigations in a patient with azoospermia. MATERIALS AND METHODS: In 2011 bilateral hypoechoic nonpalpable testicular lesions (5 mm and 3 mm to the right, 3 mm to the left) were found in a 28 years old patient, during diagnostic investigations for azoospermia. In March 2016, ultrasonography showed that the diameter of the right major nodule had grown to 12 mm, characterized by increased vascularization and increased texture...
December 30, 2016: Archivio Italiano di Urologia, Andrologia
https://www.readbyqxmd.com/read/28068363/quantitative-computed-tomography-features-for-predicting-tumor-recurrence-in-patients-with-surgically-resected-adenocarcinoma-of-the-lung
#17
Hyun Jung Koo, Yu Sub Sung, Woo Hyun Shim, Hai Xu, Chang-Min Choi, Hyeong Ryul Kim, Jung Bok Lee, Mi Young Kim
PURPOSE: The purpose of this study was to determine if preoperative quantitative computed tomography (CT) features including texture and histogram analysis measurements are associated with tumor recurrence in patients with surgically resected adenocarcinoma of the lung. METHODS: The study included 194 patients with surgically resected lung adenocarcinoma who underwent preoperative CT between January 2013 and December 2013. Quantitative CT feature analysis of the lung adenocarcinomas were performed using in-house software based on plug-in package for ImageJ...
2017: PloS One
https://www.readbyqxmd.com/read/28057031/-18-fdg-pet-ct-for-predicting-the-outcome-in-er-her2-breast-cancer-patients-comparison-of-clinicopathological-parameters-and-pet-image-derived-indices-including-tumor-texture-analysis
#18
David Groheux, Antoine Martineau, Luis Teixeira, Marc Espié, Patricia de Cremoux, Philippe Bertheau, Pascal Merlet, Charles Lemarignier
BACKGROUND: This study investigated the value of some clinicopathological parameters and 18 F-fluorodeoxyglucose-positron emission tomography/computed tomography ((18)FDG-PET/CT) indices, including textural features, to predict event-free survival (EFS) in estrogen receptor-positive/human epidermal growth factor receptor 2-negative (ER+/HER2-) locally advanced breast cancer (BC) patients. METHODS: FDG-PET/CT indices and clinicopathological parameters were assessed before neoadjuvant chemotherapy (NAC)...
January 5, 2017: Breast Cancer Research: BCR
https://www.readbyqxmd.com/read/28052757/erratum-to-mammographic-texture-and-risk-of-breast-cancer-by-tumor-type-and-estrogen-receptor-status
#19
Serghei Malkov, John A Shepherd, Christopher G Scott, Rulla M Tamimi, Lin Ma, Kimberly A Bertrand, Fergus Couch, Matthew R Jensen, Amir P Mahmoudzadeh, Bo Fan, Aaron Norman, Kathleen R Brandt, V Shane Pankratz, Celine M Vachon, Karla Kerlikowske
No abstract text is available yet for this article.
January 4, 2017: Breast Cancer Research: BCR
https://www.readbyqxmd.com/read/28048907/su-f-r-46-predicting-distant-failure-in-lung-sbrt-using-multi-objective-radiomics-model
#20
Z Zhou, M Folkert, P Iyengar, Y Zhang, J Wang
PURPOSE: To predict distant failure in lung stereotactic body radiation therapy (SBRT) in early stage non-small cell lung cancer (NSCLC) by using a new multi-objective radiomics model. METHODS: Currently, most available radiomics models use the overall accuracy as the objective function. However, due to data imbalance, a single object may not reflect the performance of a predictive model. Therefore, we developed a multi-objective radiomics model which considers both sensitivity and specificity as the objective functions simultaneously...
June 2016: Medical Physics
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