Institution
Hebron University
Education•Hebron, Palestinian Territory•
About: Hebron University is a education organization based out in Hebron, Palestinian Territory. It is known for research contribution in the topics: Population & Cancer. The organization has 2714 authors who have published 4180 publications receiving 163736 citations.
Topics: Population, Cancer, Breast cancer, Medicine, Metastatic breast cancer
Papers published on a yearly basis
Papers
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TL;DR: CT-image post-acquisition processing and radiomics normalization by means of batch effect correction allow for standardization of large-scale data analysis and improve the classification accuracy.
Abstract: To identify CT-acquisition parameters accounting for radiomics variability and to develop a post-acquisition CT-image correction method to reduce variability and improve radiomics classification in both phantom and clinical applications. CT-acquisition protocols were prospectively tested in a phantom. The multi-centric retrospective clinical study included CT scans of patients with colorectal/renal cancer liver metastases. Ninety-three radiomics features of first order and texture were extracted. Intraclass correlation coefficients (ICCs) between CT-acquisition protocols were evaluated to define sources of variability. Voxel size, ComBat, and singular value decomposition (SVD) compensation methods were explored for reducing the radiomics variability. The number of robust features was compared before and after correction using two-proportion z test. The radiomics classification accuracy (K-means purity) was assessed before and after ComBat- and SVD-based correction. Fifty-three acquisition protocols in 13 tissue densities were analyzed. Ninety-seven liver metastases from 43 patients with CT from two vendors were included. Pixel size, reconstruction slice spacing, convolution kernel, and acquisition slice thickness are relevant sources of radiomics variability with a percentage of robust features lower than 80%. Resampling to isometric voxels increased the number of robust features when images were acquired with different pixel sizes (p < 0.05). SVD-based for thickness correction and ComBat correction for thickness and combined thickness–kernel increased the number of reproducible features (p < 0.05). ComBat showed the highest improvement of radiomics-based classification in both the phantom and clinical applications (K-means purity 65.98 vs 73.20). CT-image post-acquisition processing and radiomics normalization by means of batch effect correction allow for standardization of large-scale data analysis and improve the classification accuracy. • The voxel size (accounting for the pixel size and slice spacing), slice thickness, and convolution kernel are relevant sources of CT-radiomics variability.
• Voxel size resampling increased the mean percentage of robust CT-radiomics features from 59.50 to 89.25% when comparing CT scans acquired with different pixel sizes and from 71.62 to 82.58% when the scans were acquired with different slice spacings.
• ComBat batch effect correction reduced the CT-radiomics variability secondary to the slice thickness and convolution kernel, improving the capacity of CT-radiomics to differentiate tissues (in the phantom application) and the primary tumor type from liver metastases (in the clinical application).
66 citations
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University Hospital of Lausanne1, Trinity College, Dublin2, University of Zurich3, University Hospital of Basel4, Maastricht University5, University of Chieti-Pescara6, National Health Service7, Netherlands Cancer Institute8, Aarhus University Hospital9, Gdańsk Medical University10, University at Buffalo11, Hebron University12, Katholieke Universiteit Leuven13, University Hospital Heidelberg14, Heidelberg University15, Thermo Fisher Scientific16, National and Kapodistrian University of Athens17, Aberdeen Royal Infirmary18, VU University Medical Center19
TL;DR: NGS evaluation with the Oncomine Solid Tumour Fusion transcript kit and RT‐PCR proved to have high sensitivity and specificity, advocating their use in routine practice and proposing a customizable testing algorithm.
66 citations
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TL;DR: An International Experts Panel Meeting was held with the intent to review the available evidence regarding the treatment of elderly patients with NSCLC and to discuss the implications for clinical practice and future research in this field; this article summarizes the panelists' conclusions.
66 citations
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Katholieke Universiteit Leuven1, The Royal Marsden NHS Foundation Trust2, Uppsala University3, University of Pennsylvania4, Ludwig Maximilian University of Munich5, Queen's University Belfast6, University of Oxford7, Memorial Sloan Kettering Cancer Center8, University of Toronto9, University of Padua10, Geneva College11, Vanderbilt University Medical Center12, Martin Luther University of Halle-Wittenberg13, Hebron University14, University of California, San Francisco15, Leiden University Medical Center16, Peter MacCallum Cancer Centre17
TL;DR: This article summarizes the expert discussion on the management of pancreatic cancer, which took place during the 8th World Congress on Gastrointestinal Cancer in June 2006 in Barcelona, and there is now solid evidence in favour of chemotherapy in both the adjuvant and palliative setting.
66 citations
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University of California, San Francisco1, Seoul National University Hospital2, Hebron University3, University of Texas MD Anderson Cancer Center4, University of Texas Southwestern Medical Center5, Mercy Medical Center (Baltimore, Maryland)6, Champalimaud Foundation7, European Institute of Oncology8, University of Vermont9, Stanford University10, Northwestern University11
TL;DR: Pretreated HER2+ MBC lacks a defined standard of care, although T is commonly used, and M has similar HER2 binding and antiproliferative effects as T, but by contrast, M’s Fc region is significantly different from T.
Abstract: 1000Background: Pretreated HER2+ MBC lacks a defined standard of care, although T is commonly used. M has similar HER2 binding and antiproliferative effects as T. By contrast, M’s Fc region is engi...
66 citations
Authors
Showing all 2723 results
Name | H-index | Papers | Citations |
---|---|---|---|
José Baselga | 156 | 707 | 122498 |
M. I. Martínez | 134 | 1251 | 79885 |
Josep Tabernero | 111 | 803 | 68982 |
Jordi Rello | 103 | 694 | 35994 |
Xavier Montalban | 95 | 762 | 52842 |
James M. Downey | 91 | 381 | 29506 |
Enriqueta Felip | 83 | 622 | 53364 |
Joaquim Bellmunt | 82 | 660 | 41472 |
Joan Montaner | 80 | 489 | 22413 |
Marc Miravitlles | 76 | 651 | 25671 |
David H. Salat | 75 | 241 | 36779 |
Eduard Gratacós | 75 | 531 | 20178 |
Alex Rovira | 74 | 356 | 19586 |
Ramon Bataller | 72 | 283 | 19316 |
Maria Buti | 71 | 493 | 26596 |