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https://www.readbyqxmd.com/read/29769456/machine-learning-based-texture-analysis-of-contrast-enhanced-mr-imaging-to-differentiate-between-glioblastoma-and-primary-central-nervous-system-lymphoma
#1
Akira Kunimatsu, Natsuko Kunimatsu, Koichiro Yasaka, Hiroyuki Akai, Kouhei Kamiya, Takeyuki Watadani, Harushi Mori, Osamu Abe
PURPOSE: Although advanced MRI techniques are increasingly available, imaging differentiation between glioblastoma and primary central nervous system lymphoma (PCNSL) is sometimes confusing. We aimed to evaluate the performance of image classification by support vector machine, a method of traditional machine learning, using texture features computed from contrast-enhanced T1 -weighted images. METHODS: This retrospective study on preoperative brain tumor MRI included 76 consecutives, initially treated patients with glioblastoma (n = 55) or PCNSL (n = 21) from one institution, consisting of independent training group (n = 60: 44 glioblastomas and 16 PCNSLs) and test group (n = 16: 11 glioblastomas and 5 PCNSLs) sequentially separated by time periods...
May 16, 2018: Magnetic Resonance in Medical Sciences: MRMS
https://www.readbyqxmd.com/read/29756120/quantitative-image-analysis-for-evaluation-of-tumor-response-in-clinical-oncology
#2
Wen-Li Cai, Guo-Bin Hong
The objective, accurate, and standardized evaluation of tumor response to treatment is an indispensable procedure in clinical oncology. Compared to manual measurement, computer-assisted linear measurement can significantly improve the accuracy and reproducibility of tumor burden quantification. For irregular-shaped and infiltrating or diffuse tumors, which are difficult to quantify by linear measurement, computer-assisted volumetric measurement may provide a more objective and sensitive quantification to evaluate tumor response to treatment than linear measurement does...
March 2018: Chronic Diseases and Translational Medicine
https://www.readbyqxmd.com/read/29755685/selected-pet-radiomic-features-remain-the-same
#3
Tetsuya Tsujikawa, Hideaki Tsuyoshi, Masafumi Kanno, Shizuka Yamada, Masato Kobayashi, Norihiko Narita, Hirohiko Kimura, Shigeharu Fujieda, Yoshio Yoshida, Hidehiko Okazawa
Purpose: We investigated whether PET radiomic features are affected by differences in the scanner, scan protocol, and lesion location using 18 F-FDG PET/CT and PET/MR scans. Results: SUV, TMR, skewness, kurtosis, entropy, and homogeneity strongly correlated between PET/CT and PET/MR images. SUVs were significantly higher on PET/MR0-2 min and PET/MR0-10 min than on PET/CT in gynecological cancer ( p = 0.008 and 0.008, respectively), whereas no significant difference was observed between PET/CT, PET/MR0-2 min , and PET/MR0-10 min images in oral cavity/oropharyngeal cancer...
April 17, 2018: Oncotarget
https://www.readbyqxmd.com/read/29754276/-718-f-fdg-pet-ct-metabolic-tumor-parameters-and-radiomics-features-in-aggressive-non-hodgkin-s-lymphoma-as-predictors-of-treatment-outcome-and-survival
#4
Aatif Parvez, Noam Tau, Douglas Hussey, Manjula Maganti, Ur Metser
PURPOSE: To determine whether metabolic tumor parameters and radiomic features extracted from 18 F-FDG PET/CT (PET) can predict response to therapy and outcome in patients with aggressive B-cell lymphoma. METHODS: This institutional ethics board-approved retrospective study included 82 patients undergoing PET for aggressive B-cell lymphoma staging. Whole-body metabolic tumor volume (MTV) using various thresholds and tumor radiomic features were assessed on representative tumor sites...
May 12, 2018: Annals of Nuclear Medicine
https://www.readbyqxmd.com/read/29748206/deep-learning-convolutional-neural-networks-accurately-classify-genetic-mutations-in-gliomas
#5
P Chang, J Grinband, B D Weinberg, M Bardis, M Khy, G Cadena, M-Y Su, S Cha, C G Filippi, D Bota, P Baldi, L M Poisson, R Jain, D Chow
BACKGROUND AND PURPOSE: The World Health Organization has recently placed new emphasis on the integration of genetic information for gliomas. While tissue sampling remains the criterion standard, noninvasive imaging techniques may provide complimentary insight into clinically relevant genetic mutations. Our aim was to train a convolutional neural network to independently predict underlying molecular genetic mutation status in gliomas with high accuracy and identify the most predictive imaging features for each mutation...
May 10, 2018: AJNR. American Journal of Neuroradiology
https://www.readbyqxmd.com/read/29740111/tumor-heterogeneity-of-pancreas-head-cancer-assessed-by-ct-texture-analysis-association-with-survival-outcomes-after-curative-resection
#6
Gabin Yun, Young Hoon Kim, Yoon Jin Lee, Bohyoung Kim, Jin-Hyeok Hwang, Dong Joon Choi
The value of image based texture features as a powerful method to predict prognosis and assist clinical management in cancer patients has been established recently. However, texture analysis using histograms and grey-level co-occurrence matrix in pancreas cancer patients has rarely been reported. We aimed to analyze the association of survival outcomes with texture features in pancreas head cancer patients. Eighty-eight pancreas head cancer patients who underwent preoperative CT images followed by curative resection were included...
May 8, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29731887/texture-analysis-of-diffusion-weighted-imaging-for-the-evaluation-of-glioma-heterogeneity-based-on-different-regions-of-interest
#7
Shan Wang, Meng Meng, Xue Zhang, Chen Wu, Ru Wang, Jiangfen Wu, Muhammad Umair Sami, Kai Xu
The present study aimed to explore the role of texture analysis with apparent diffusion coefficient (ADC) maps based on different regions of interest (ROI) in determining glioma grade. Thirty patients with glioma underwent diffusion-weighted imaging (DWI). ADC values were determined from the following three ROIs: i) whole tumor; ii) solid portion; and iii) peritumoral edema. Texture features were compared between high-grade gliomas (HGGs) and low-grade gliomas (LGGs) using the non-parametric Wilcoxon rank-sum test or the unpaired Student's t-test...
May 2018: Oncology Letters
https://www.readbyqxmd.com/read/29724308/-value-of-magnetic-resonance-imaging-texture-feature-analysis-in-the-differential-diagnosis-between-pancreatic-serous-cystadenoma-and-mucinous-cystadenoma
#8
Bo Tao Wang, Lei He, Gang Liu, Meng Qi Liu, Zhi Ye Chen
Objective To investigate the difference of tumor textures presented on T1-weighted image(T1WI) and T2-weighted image(T2WI) between pancreatic serous cystadenoma and mucinous cystadenoma. Methods Subjects including 24 patients with serous cystadenoma and 20 patients with mucinous cystadenoma who were treated in Hainan Branch of Chinese PLA General Hospital were enrolled in this study.The texture analysis was performed on T1WI and T2WI,and the texture parameters included angular second moment,contrast,correlation,inverse difference moment(IDM),and entropy...
April 28, 2018: Zhongguo Yi Xue Ke Xue Yuan Xue Bao. Acta Academiae Medicinae Sinicae
https://www.readbyqxmd.com/read/29719137/real-time-imaging-of-brain-tumor-for-image-guided-surgery
#9
REVIEW
Shuang Hu, Homan Kang, Yoonji Baek, Georges El Fakhri, Anren Kuang, Hak Soo Choi
The completion of surgical resection is a key prognostic factor in brain tumor treatment. This requires surgeons to identify residual tumors in theater as well as to margin the proximity of the tumor to adjacent normal tissue. Subjective assessments, such as texture palpation or visual tissue differences, are commonly used by oncology surgeons during resection to differentiate cancer lesions from normal tissue, which can potentially result in either an incomplete tumor resection, or accidental removal of normal tissue...
May 2, 2018: Advanced Healthcare Materials
https://www.readbyqxmd.com/read/29687461/case-of-probable-spontaneous-regression-of-merkel-cell-carcinoma-combined-with-squamous-cell-carcinoma-without-surgical-intervention
#10
Kotaro Nagase, Takuya Inoue, Shinichi Koba, Yutaka Narisawa
Merkel cell carcinoma (MCC) is a rare but more lethal cutaneous cancer than melanoma. However, spontaneous regression of a number of MCC has been reported, although the cause of this regression remains unclear. In most cases, MCC regresses after a surgical procedure, for example, biopsy. Herein, we report a case of Merkel cell polyomavirus-negative MCC coincident with squamous cell carcinoma (SCC) that underwent true spontaneous regression without biopsy. One month after the patient's first visit, clinical examination revealed that the tumor had not grown, but its surface showed changes in texture and color...
April 23, 2018: Journal of Dermatology
https://www.readbyqxmd.com/read/29675631/role-of-quantitative-computed-tomography-texture-analysis-in-the-prediction-of-adherent-perinephric-fat
#11
Zine-Eddine Khene, Karim Bensalah, Axel Largent, Shahrokh Shariat, Gregory Verhoest, Benoit Peyronnet, Oscar Acosta, Renaud DeCrevoisier, Romain Mathieu
OBJECTIVE: To assess the performance of computed tomography (CT) texture analysis to predict the presence of adherent perinephric fat (APF). MATERIALS AND METHODS: Seventy patients with small renal tumors treated with robot-assisted partial nephrectomy were included. Patients were divided into two groups according to the presence of APF. We extracted 15 image features from unenhanced CT and contrast-enhanced CT corresponding to first-order and second-order Haralick textural features...
April 19, 2018: World Journal of Urology
https://www.readbyqxmd.com/read/29670156/an-automated-skin-segmentation-of-breasts-in-dynamic-contrast-enhanced-magnetic-resonance-imaging
#12
Chia-Yen Lee, Tzu-Fang Chang, Nai-Yun Chang, Yeun-Chung Chang
Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is used to diagnose breast disease. Obtaining anatomical information from DCE-MRI requires the skin be manually removed so that blood vessels and tumors can be clearly observed by physicians and radiologists; this requires considerable manpower and time. We develop an automated skin segmentation algorithm where the surface skin is removed rapidly and correctly. The rough skin area is segmented by the active contour model, and analyzed in segments according to the continuity of the skin thickness for accuracy...
April 18, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29668695/value-of-computed-tomography-texture-analysis-for-prediction-of-perioperative-complications-during-laparoscopic-partial-nephrectomy-in-patients-with-renal-cell-carcinoma
#13
Georg Bier, Simone Bier, Malte Niklas Bongers, Ahmed Othman, Ulrike Ernemann, Johann-Martin Hempel
PURPOSE: Tumorous texture is a marker for tumor tissue inhomogeneity. Based on this assumption, this study aims to evaluate the value of computed tomography texture analysis for imaging-based prediction of perioperative complications during laparoscopic partial tumor nephrectomy. METHODS: A total of 106 patients with histologically confirmed renal cell carcinoma and pre-operative CT were included and volumetric texture analysis of the tumors was performed by two readers...
2018: PloS One
https://www.readbyqxmd.com/read/29667885/radiomics-approach-to-prediction-of-occult-mediastinal-lymph-node-metastasis-of-lung-adenocarcinoma
#14
Yan Zhong, Mei Yuan, Teng Zhang, Yu-Dong Zhang, Hai Li, Tong-Fu Yu
OBJECTIVE: The purpose of this study was to evaluate the prognostic impact of radiomic features from CT scans in predicting occult mediastinal lymph node (LN) metastasis of lung adenocarcinoma. MATERIALS AND METHODS: A total of 492 patients with lung adenocarcinoma who underwent preoperative unenhanced chest CT were enrolled in the study. A total of 300 radiomics features quantifying tumor intensity, texture, and wavelet were extracted from the segmented entire-tumor volume of interest of the primary tumor...
April 18, 2018: AJR. American Journal of Roentgenology
https://www.readbyqxmd.com/read/29666413/texture-analysis-and-support-vector-machine-assisted-diffusional-kurtosis-imaging-may-allow-in-vivo-gliomas-grading-and-idh-mutation-status-prediction-a-preliminary-study
#15
Sotirios Bisdas, Haocheng Shen, Steffi Thust, Vasileios Katsaros, George Stranjalis, Christos Boskos, Sebastian Brandner, Jianguo Zhang
We sought to investigate, whether texture analysis of diffusional kurtosis imaging (DKI) enhanced by support vector machine (SVM) analysis may provide biomarkers for gliomas staging and detection of the IDH mutation. First-order statistics and texture feature extraction were performed in 37 patients on both conventional (FLAIR) and mean diffusional kurtosis (MDK) images and recursive feature elimination (RFE) methodology based on SVM was employed to select the most discriminative diagnostic biomarkers. The first-order statistics demonstrated significantly lower MDK values in the IDH-mutant tumors...
April 17, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29662557/ct-radiomics-in-thoracic-oncology-technique-and-clinical-applications
#16
REVIEW
Geewon Lee, So Hyeon Bak, Ho Yun Lee
Precision medicine offers better treatment options and improved survival for cancer patients based on individual variability. As the success of precision medicine depends on robust biomarkers, the requirement for improved imaging biomarkers that reflect tumor biology has grown exponentially. Radiomics, the field of study in which high-throughput data are generated and large amounts of advanced quantitative features are extracted from medical images, has shown great potential as a source of quantitative biomarkers in the field of oncology...
April 2018: Nuclear Medicine and Molecular Imaging
https://www.readbyqxmd.com/read/29650315/radiomics-based-features-for-pattern-recognition-of-lung-cancer-histopathology-and-metastases
#17
José Raniery Ferreira Junior, Marcel Koenigkam-Santos, Federico Enrique Garcia Cipriano, Alexandre Todorovic Fabro, Paulo Mazzoncini de Azevedo-Marques
BACKGROUND AND OBJECTIVES: lung cancer is the leading cause of cancer-related deaths in the world, and its poor prognosis varies markedly according to tumor staging. Computed tomography (CT) is the imaging modality of choice for lung cancer evaluation, being used for diagnosis and clinical staging. Besides tumor stage, other features, like histopathological subtype, can also add prognostic information. In this work, radiomics-based CT features were used to predict lung cancer histopathology and metastases using machine learning models...
June 2018: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/29622553/edge-contrast-of-the-flair-hyperintense-region-predicts-survival-in-patients-with-high-grade-gliomas-following-treatment-with-bevacizumab
#18
N Bahrami, D Piccioni, R Karunamuni, Y-H Chang, N White, R Delfanti, T M Seibert, J A Hattangadi-Gluth, A Dale, N Farid, C R McDonald
BACKGROUND AND PURPOSE: Treatment with bevacizumab is standard of care for recurrent high-grade gliomas; however, monitoring response to treatment following bevacizumab remains a challenge. The purpose of this study was to determine whether quantifying the sharpness of the fluid-attenuated inversion recovery hyperintense border using a measure derived from texture analysis-edge contrast-improves the evaluation of response to bevacizumab in patients with high-grade gliomas. MATERIALS AND METHODS: MRIs were evaluated in 33 patients with high-grade gliomas before and after the initiation of bevacizumab...
April 5, 2018: AJNR. American Journal of Neuroradiology
https://www.readbyqxmd.com/read/29616661/shell-feature-a-new-radiomics-descriptor-for-predicting-distant-failure-after-radiotherapy-in-non-small-cell-lung-cancer-and-cervix-cancer
#19
Hongxia Hao, Zhiguo Zhou, Shulong Li, Genevieve Maquilan, Michael R Folkert, Puneeth Iyengar, Kenneth D Westover, Kevin Albuquerque, Fang Liu, Hak Choy, Robert Timmerman, Lin Yang, Jing Wang
Distant failure is the main cause of human cancer-related mortalities. To develop a model for predicting distant failure in non-small cell lung cancer (NSCLC) and cervix cancer (CC) patients, a shell feature, consisting of outer voxels around the tumor boundary, was constructed using pre-treatment positron emission tomography (PET) images from 48 NSCLC patients received stereotactic body radiation therapy and 52 CC patients underwent external beam radiation therapy and concurrent chemotherapy followed with high-dose-rate intracavitary brachytherapy...
May 2, 2018: Physics in Medicine and Biology
https://www.readbyqxmd.com/read/29608508/tumor-heterogeneity-hypoxia-and-immune-markers-in-surgically-resected-non-small-cell-lung-cancer
#20
Angelo Castello, Fabio Grizzi, Luca Toschi, Sabrina Rossi, Daoud Rahal, Federica Marchesi, Carlo Russo, Giovanna Finocchiaro, Egesta Lopci
OBJECTIVES: This study aimed to determine the prognostic role of textural features and their association with metabolic parameters, hypoxia, and cancer-related immune markers in non-small-cell lung cancer (NSCLC) patients. PATIENTS AND METHODS: The trial was registered at http://www.clinicaltrials.gov (NCT02519062). From January 2010 to May 2014, 44 patients (male : female=33 : 11; median age: 69.5 years), referred to our Institution for NSCLC resection, were enrolled...
March 30, 2018: Nuclear Medicine Communications
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