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Tumor texture

Massimo Alfano, Manuela Nebuloni, Raffaele Allevi, Pietro Zerbi, Erika Longhi, Roberta Lucianò, Irene Locatelli, Angela Pecoraro, Marco Indrieri, Chantal Speziali, Claudio Doglioni, Paolo Milani, Francesco Montorsi, Andrea Salonia
In the fields of biomaterials and tissue engineering simulating the native microenvironment is of utmost importance. As a major component of the microenvironment, the extracellular matrix (ECM) contributes to tissue homeostasis, whereas modifications of native features are associated with pathological conditions. Furthermore, three-dimensional (3D) geometry is an important feature of synthetic scaffolds favoring cell stemness, maintenance and differentiation. We analyzed the 3D structure, geometrical measurements and anisotropy of the ECM isolated from (i) human bladder mucosa (basal lamina and lamina propria) and muscularis propria; and, (ii) bladder carcinoma (BC)...
October 25, 2016: Scientific Reports
Motahare Soufi, Alireza Kamali-Asl, Parham Geramifar, Arman Rahmim
PURPOSE: Determination of intra-tumor high-uptake area using 2-deoxy-2-[(18)F]fluoro-D-glucose ([(18)F]FDG) positron emission tomography (PET) imaging is an important consideration for dose painting in radiation treatment applications. The aim of our study was to develop a framework towards automated segmentation and labeling of homogeneous vs. heterogeneous tumors in clinical lung [(18)F]FDG-PET with the capability of intra-tumor high-uptake region delineation. PROCEDURES: We utilized and extended a fuzzy random walk PET tumor segmentation algorithm to delineate intra-tumor high-uptake areas...
October 21, 2016: Molecular Imaging and Biology: MIB: the Official Publication of the Academy of Molecular Imaging
Bruce Wen, Kirby R Campbell, Karissa Tilbury, Oleg Nadiarnykh, Molly A Brewer, Manish Patankar, Vikas Singh, Kevin W Eliceiri, Paul J Campagnola
Remodeling of the collagen architecture in the extracellular matrix (ECM) has been implicated in ovarian cancer. To quantify these alterations we implemented a form of 3D texture analysis to delineate the fibrillar morphology observed in 3D Second Harmonic Generation (SHG) microscopy image data of normal (1) and high risk (2) ovarian stroma, benign ovarian tumors (3), low grade (4) and high grade (5) serous tumors, and endometrioid tumors (6). We developed a tailored set of 3D filters which extract textural features in the 3D image sets to build (or learn) statistical models of each tissue class...
October 21, 2016: Scientific Reports
Marie-Charlotte Desseroit, Florent Tixier, Wolfgang Andreas Weber, Barry Alan Siegel, Catherine Cheze Le Rest, Dimitris Visvikis, Mathieu Hatt
PURPOSE: The main purpose of this study was to assess the reliability of shape and heterogeneity features in both PET and low-dose CT components of PET/CT. A secondary objective was to investigate the impact of image quantization. MATERIAL AND METHODS: A HIPAA-compliant secondary analysis of deidentified prospectively acquired PET/CT test-retest datasets of 74 patients from multi-center Merck and ACRIN trials was performed. Metabolically active volumes were automatically delineated on PET with Fuzzy Locally Adaptive Bayesian (FLAB) algorithm...
October 20, 2016: Journal of Nuclear Medicine: Official Publication, Society of Nuclear Medicine
Fanny Orlhac, Christophe Nioche, Michael Soussan, Irene Buvat
INTRODUCTION: The use of texture indices (TI) to characterize tumor heterogeneity from Positron Emission Tomography (PET) images is increasingly investigated in retrospective studies. Yet, the interpretation of PET-derived TI values has not been thoroughly reported. Furthermore, the calculation of TI lacks a standardized methodology, making it difficult to compare published results. To allow for TI value interpretation, we investigated the changes in value of six TI computed from simulated and real patient data...
October 6, 2016: Journal of Nuclear Medicine: Official Publication, Society of Nuclear Medicine
Kuan-Yin Ko, Chia-Ju Liu, Chi-Lun Ko, Ruoh-Fang Yen
PURPOSE: The aim of this study was to investigate whether the textural features of pretreatment F-FDG PET images can predict prognosis for nasal type extranodal natural killer/T-cell lymphoma (ENKTL). MATERIALS AND METHODS: A retrospective analysis of the pretreatment F-FDG PET images of the patients with newly diagnosed nasal type ENKTL from 2008 to 2013 was conducted. Progression-free survival (PFS) was the main outcome measure. The primary tumor was identified and then delineated using the 40% maximum standardized uptake value (SUVmax) thresholding method...
October 5, 2016: Clinical Nuclear Medicine
Yoon Sang Shin, Yeo Ju Kim, In Suh Park, Young Chae Chu, Jun Ho Kim, Ha Young Lee, Kyung Hee Lee, Young Hye Kang
OBJECTIVES: The purpose of this study was to compare the sonographic findings of angio lipomas with those of superficial lipomas. METHODS: Preoperative sonograms of 26 angiolipomas from 18 patients and 47 superficial lipomas from 43 patients that were confirmed by biopsy were reviewed retrospectively. The echo texture, echogenicity, internal echogenic stranding, vascularity, visualization of lateral and superficial-deep tumor capsules, shape, and tumor length, width, and length-to-width ratio were evaluated and compared between angiolipomas and superficial lipomas...
October 13, 2016: Journal of Ultrasound in Medicine: Official Journal of the American Institute of Ultrasound in Medicine
Jorn Beukinga, Jan Binne Hulshoff, Lisanne van Dijk, Christina Muijs, Johannes Burgerhof, Gursah Kats-Ugurlu, Riemer Slart, Cornelis Slump, Véronique Mul, John Plukker
: Adequate prediction of tumor response to neoadjuvant chemoradiotherapy (nCRT) in esophageal cancer (EC) patients is important in a more personalized treatment. The current best clinical method to predict pathologic complete response is the maximal standardized uptake value (SUVmax) in (18)F-fluorodeoxyglucose positron emission tomography/computed tomography ((18)F-FDG PET/CT) imaging. To improve the prediction of response, we constructed a model to predict complete response to nCRT in EC based on pre-treatment clinical parameters and (18)F-FDG PET/CT derived textural features...
October 13, 2016: Journal of Nuclear Medicine: Official Publication, Society of Nuclear Medicine
Attila Forgacs, Hermann Pall Jonsson, Magnus Dahlbom, Freddie Daver, Matthew D DiFranco, Gabor Opposits, Aron K Krizsan, Ildiko Garai, Johannes Czernin, Jozsef Varga, Lajos Tron, Laszlo Balkay
Textural analysis might give new insights into the quantitative characterization of metabolically active tumors. More than thirty textural parameters have been investigated in former F18-FDG studies already. The purpose of the paper is to declare basic requirements as a selection strategy to identify the most appropriate heterogeneity parameters to measure textural features. Our predefined requirements were: a reliable heterogeneity parameter has to be volume independent, reproducible, and suitable for expressing quantitatively the degree of heterogeneity...
2016: PloS One
Virginia Brancato, Alessandro Garziano, Filomena Gioiella, Francesco Urciuolo, Giorgia Imparato, Valeria Panzetta, Sabato Fusco, Paolo A Netti
: We fabricated three-dimensional microtissues with the aim to replicate in vitro the composition and the functionalities of the tumor microenvironment. By arranging either normal fibroblasts (NF) or cancer-activated fibroblasts (CAF) in two different three dimensional (3D) configurations, two kinds of micromodules were produced: spheroids and microtissues. Spheroids were obtained by means of the traditional cell aggregation technique resulting in a 3D model characterized by high cell density and low amount of extracellular proteins...
October 6, 2016: Acta Biomaterialia
Manabu Kinoshita, Mio Sakai, Hideyuki Arita, Tomoko Shofuda, Yasuyoshi Chiba, Naoki Kagawa, Yoshiyuki Watanabe, Naoya Hashimoto, Yasunori Fujimoto, Toshiki Yoshimine, Katsuyuki Nakanishi, Yonehiro Kanemura
Reports have suggested that tumor textures presented on T2-weighted images correlate with the genetic status of glioma. Therefore, development of an image analyzing framework that is capable of objective and high throughput image texture analysis for large scale image data collection is needed. The current study aimed to address the development of such a framework by introducing two novel parameters for image textures on T2-weighted images, i.e., Shannon entropy and Prewitt filtering. Twenty-two WHO grade 2 and 28 grade 3 glioma patients were collected whose pre-surgical MRI and IDH1 mutation status were available...
2016: PloS One
Rudolf A Werner, Constantin Lapa, Harun Ilhan, Takahiro Higuchi, Andreas K Buck, Sebastian Lehner, Peter Bartenstein, Frank Bengel, Imke Schatka, Dirk O Muegge, László Papp, Norbert Zsótér, Tobias Große-Ophoff, Markus Essler, Ralph A Bundschuh
The NETTER-1 trial demonstrated significantly improved progression-free survival (PFS) for peptide receptor radionuclide therapy (PRRT) in neuroendocrine tumors (NET) emphasizing the high demand for response prediction in appropriate candidates. In this multicenter study, we aimed to elucidate the prognostic value of tumor heterogeneity as assessed by somatostatin receptor (SSTR)-PET/CT. 141 patients with SSTR-expressing tumors were analyzed obtaining SSTR-PET/CT before PRRT (1-6 cycles, 177Lu somatostatin analog)...
October 2, 2016: Oncotarget
Jae-Hun Kim, Eun Sook Ko, Yaeji Lim, Kyung Soo Lee, Boo-Kyung Han, Eun Young Ko, Soo Yeon Hahn, Seok Jin Nam
Purpose To determine the relationship between tumor heterogeneity assessed by means of magnetic resonance (MR) imaging texture analysis and survival outcomes in patients with primary breast cancer. Materials and Methods Between January and August 2010, texture analysis of the entire primary breast tumor in 203 patients was performed with T2-weighted and contrast material-enhanced T1-weighted subtraction MR imaging for preoperative staging. Histogram-based uniformity and entropy were calculated. To dichotomize texture parameters for survival analysis, the 10-fold cross-validation method was used to determine cutoff points in the receiver operating characteristic curve analysis...
October 4, 2016: Radiology
Riku Turkki, Nina Linder, Panu E Kovanen, Teijo Pellinen, Johan Lundin
BACKGROUND: Immune cell infiltration in tumor is an emerging prognostic biomarker in breast cancer. The gold standard for quantification of immune cells in tissue sections is visual assessment through a microscope, which is subjective and semi-quantitative. In this study, we propose and evaluate an approach based on antibody-guided annotation and deep learning to quantify immune cell-rich areas in hematoxylin and eosin (H&E) stained samples. METHODS: Consecutive sections of formalin-fixed parafin-embedded samples obtained from the primary tumor of twenty breast cancer patients were cut and stained with H&E and the pan-leukocyte CD45 antibody...
2016: Journal of Pathology Informatics
Katsuya Mitamura, Yuka Yamamoto, Nobuyuki Kudomi, Yukito Maeda, Takashi Norikane, Keisuke Miyake, Yoshihiro Nishiyama
BACKGROUND: The nucleoside analog 3'-deoxy-3'-(18)F-fluorothymidine (FLT) has been investigated for evaluating tumor proliferating activity in brain tumors. We evaluated FLT uptake heterogeneity using textural features from the histogram analysis in patients with newly diagnosed gliomas and examined correlation of the results with proliferative activity and patient prognosis, in comparison with the conventional PET parameters. METHODS: FLT PET was investigated in 37 patients with newly diagnosed gliomas...
September 29, 2016: Annals of Nuclear Medicine
Nemanja Rajković, Tijana Vujasinović, Ksenija Kanjer, Nebojša T Milošević, Dragica Nikolić-Vukosavljević, Marko Radulovic
AIM: Breast cancer prognosis is in the spotlight owing to its potentially major clinical importance in effective therapeutic management. Following our recent prognostic establishment of the fractal features calculated on binary breast tumor histopathology images, this study aimed to accomplish the first optimization of this methodology by direct comparison of monofractal, multifractal and co-occurrence algorithms in analysis of binary versus grayscale image formats. PATIENTS & METHODS: The study included 93 patients with invasive breast cancer, without systemic treatment and a long median follow-up of 150 months...
October 2016: Biomarkers in Medicine
Qingbing Wang, Xiaolin Wang, Rongfang Guo, Guoping Li
Pancreatic acinar cell carcinoma (ACC) is a rare tumor that is difficult to diagnose preoperatively. The aim of this study was to evaluate and describe the computed tomography (CT) features of ACC and compare the results with pancreatic ductal adenocarcinoma (DAC) for improving preoperative diagnosis. The control group consisted of 34 patients with DAC collected from the pathology electronic database. The CT imaging from nine patients with pathologically confirmed ACC was retrospectively reviewed. Two radiologists independently assessed the tumor location, size, texture, and enhancement patterns...
2016: OncoTargets and Therapy
Cheng Zhong, Ju Han, Alexander Borowsky, Bahram Parvin, Yunfu Wang, Hang Chang
Classification of histology sections in large cohorts, in terms of distinct regions of microanatomy (e.g., stromal) and histopathology (e.g., tumor, necrosis), enables the quantification of tumor composition, and the construction of predictive models of genomics and clinical outcome. To tackle the large technical variations and biological heterogeneities, which are intrinsic in large cohorts, emerging systems utilize either prior knowledge from pathologists or unsupervised feature learning for invariant representation of the underlying properties in the data...
September 9, 2016: Medical Image Analysis
Elisa Scalco, Simona Marzi, Giuseppe Sanguineti, Antonello Vidiri, Giovanna Rizzo
PURPOSE: In the treatment of Head-and-Neck Squamous Cell Carcinoma (HNSCC), the early prediction of residual malignant lymph nodes (LNs) is currently required. Here, we investigated the potential of a multi-modal characterization (combination of CT, T2w-MRI and DW-MRI) at baseline and at mid-treatment, based on texture analysis (TA), for the early prediction of LNs response to chemo-radiotherapy (CRT). METHODS: 30 patients with pathologically confirmed HNSCC treated with CRT were considered...
September 14, 2016: Physica Medica: PM
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