Search Results - "PINGZHEN GUO"

Identification of Non-Small Cell Lung Cancer Sensitive to Systemic Cancer Therapies Using Radiomics by Dercle, Laurent, Fronheiser, Matthew, Lu, Lin, Du, Shuyan, Hayes, Wendy, Leung, David K, Roy, Amit, Wilkerson, Julia, Guo, Pingzhen, Fojo, Antonio T, Schwartz, Lawrence H, Zhao, Binsheng

“…Using standard-of-care CT images obtained from patients with a diagnosis of non-small cell lung cancer (NSCLC), we defined radiomics signatures predicting the…”
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Correction to: A quantitative imaging biomarker for predicting disease-free-survival-associated histologic subgroups in lung adenocarcinoma by Lu, Lin, Wang, Deling, Wang, Lili, E, Linning, Guo, Pingzhen, Li, Zhiming, Xiang, Jin, Yang, Hao, Li, Hui, Yin, Shaohan, Schwartz, Lawrence H., Xie, Chuanmiao, Zhao, Binsheng

“…The original version of this article, published on 21 February 2020, unfortunately contained a mistake…”
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Variability of Lung Tumor Measurements on Repeat Computed Tomography Scans Taken Within 15 Minutes by OXNARD, Geoffrey R, BINSHENG ZHAO, SIMA, Camelia S, GINSBERG, Michelle S, JAMES, Leonard P, LEFKOWITZ, Robert A, PINGZHEN GUO, KRIS, Mark G, SCHWARTZ, Lawrence H, RIELY, Gregory J

“…We use changes in tumor measurements to assess response and progression, both in routine care and as the primary objective of clinical trials. However, the…”
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A quantitative imaging biomarker for predicting disease-free-survival-associated histologic subgroups in lung adenocarcinoma by Lu, Lin, Wang, Deling, Wang, Lili, E, Linning, Guo, Pingzhen, Li, Zhiming, Xiang, Jin, Yang, Hao, Li, Hui, Yin, Shaohan, Schwartz, Lawrence H., Xie, Chuanmiao, Zhao, Binsheng

“…Objectives Classification of histologic subgroups has significant prognostic value for lung adenocarcinoma patients who undergo surgical resection. However,…”
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A Pilot Study of Volume Measurement as a Method of Tumor Response Evaluation to Aid Biomarker Development by BINSHENG ZHAO, OXNARD, Geoffrey R, MOSKOWITZ, Chaya S, KRIS, Mark G, PAO, William, PINGZHEN GUO, RUSCH, Valerie M, LADANYI, Marc, RIZVI, Naiyer A, SCHWARTZ, Lawrence H

“…Tissue biomarker discovery is potentially limited by conventional tumor measurement techniques, which have an uncertain ability to accurately distinguish…”
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Radiomics Prediction of EGFR Status in Lung Cancer—Our Experience in Using Multiple Feature Extractors and The Cancer Imaging Archive Data by Lu, Lin, Sun, Shawn H., Yang, Hao, E, Linning, Guo, Pingzhen, Schwartz, Lawrence H., Zhao, Binsheng

“…We investigated the performance of multiple radiomics feature extractors/software on predicting epidermal growth factor receptor mutation status in 228…”
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Role of preoperative biliary drainage of liver remnant prior to extended liver resection for hilar cholangiocarcinoma by Kennedy, Timothy J., Yopp, Adam, Qin, Yilin, Zhao, Binsheng, Guo, Pingzhen, Liu, Fan, Schwartz, Larry H., Allen, Peter, D'Angelica, Michael, Fong, Yuman, DeMatteo, Ronald P., Blumgart, Leslie H., Jarnagin, William R.

“…In patients with hilar cholangiocarcinoma, ipsilateral en bloc hepatic resection improves survival but is associated with increased morbidity. Preoperative…”
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Assessment of therapy responses and prediction of survival in malignant pleural mesothelioma through computer-aided volumetric measurement on computed tomography scans by Liu, Fan, Zhao, Binsheng, Krug, Lee M, Ishill, Nicole M, Lim, Remy C, Guo, Pingzhen, Gorski, Matthew, Flores, Raja, Moskowitz, Chaya S, Rusch, Valerie W, Schwartz, Lawrence H

“…The purposes of this study were (1) to calculate the tumor volume in patients with malignant pleural mesothelioma using computed tomography (CT) scan images…”
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Preparation of sawdust functionalized with aspartic acid and its sorption capacity, kinetics and thermodynamics for basic dyes by Gong, Renmin, Li, Na, Ni, Shoujun, Guo, Pingzhen, Huang, Fenghong

“…An ion exchanger with carboxyl groups as active sites was prepared by activating sawdust with epichlorohydrin, followed by coupling the epoxy-activated sawdust…”
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Evaluating Variability in Tumor Measurements from Same-day Repeat CT Scans of Patients with Non―Small Cell Lung Cancer1 by BINSHENG ZHAO, JAMES, Leonard P, MOSKOWITZ, Chaya S, PINGZHEN GUO, GINSBERG, Michelle S, LEFKOWITZ, RobertA, YILIN QIN, RIELY, GregoryJ, KRIS, Mark G, SCHWARTZ, Lawrence H

“…Our findings will help reveal variations in the unidimensional, bidimensional, and volumetric measurements on modern CT scans and thus be valuable in detecting…”
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Baseline Radiomic Signature to Estimate Overall Survival in Patients With NSCLC by Dercle, Laurent, Fronheiser, Matthew, Rizvi, Naiyer A, Hellmann, Matthew D, Maier, Sabine, Hayes, Wendy, Yang, Hao, Guo, Pingzhen, Fojo, Tito, Schwartz, Lawrence H, Zhao, Binsheng, Leung, David K

“…We aimed to define a baseline radiomic signature associated with overall survival (OS) using baseline computed tomography (CT) images obtained from patients…”
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Evaluating variability in tumor measurements from same-day repeat CT scans of patients with non-small cell lung cancer by Zhao, Binsheng, James, Leonard P, Moskowitz, Chaya S, Guo, Pingzhen, Ginsberg, Michelle S, Lefkowitz, Robert A, Qin, Yilin, Riely, Gregory J, Kris, Mark G, Schwartz, Lawrence H

“…To evaluate the variability of tumor unidimensional, bidimensional, and volumetric measurements on same-day repeat computed tomographic (CT) scans in patients…”
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Abstract PO022: Multidimensional longitudinal assessment of patients under treatment for advanced endometrial cancer: a new tool to advance research on human disease by Dvergsten, Erik, Karovic, Sanja, Thomeas-McEwing, Vasiliki, Kimble, Danielle, Guo, Pingzhen, Yang, Hao, Zhao, Binsheng, Schwartz, Lawrence H., Maitland, Michael L.

“…Evolutionary biology-based methods to characterize human cancer increasingly inform screening, surveillance, and early stage disease treatment strategies…”
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A quantitative analysis of the improvement provided by comprehensive annotation on CT lesion detection using deep learning by Ma, Jingchen, Yoon, Jin H., Lu, Lin, Yang, Hao, Guo, Pingzhen, Yang, Dawei, Li, Jing, Shen, Jingxian, Schwartz, Lawrence H., Zhao, Binsheng

“…Background Data collected from hospitals are usually partially annotated by radiologists due to time constraints. Developing and evaluating deep learning…”
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Exploring intra- and inter-reader variability in uni-dimensional, bi-dimensional, and volumetric measurements of solid tumors on CT scans reconstructed at different slice intervals by Zhao, Binsheng, Tan, Yongqiang, Bell, Daniel J, Marley, Sarah E, Guo, Pingzhen, Mann, Helen, Scott, Marietta L.J, Schwartz, Lawrence H, Ghiorghiu, Dana C

“…Abstract Objective Understanding magnitudes of variability when measuring tumor size may be valuable in improving detection of tumor change and thus evaluating…”
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Assessing the effect of CT slice interval on unidimensional, bidimensional and volumetric measurements of solid tumours by Tan, Yongqiang, Guo, Pingzhen, Mann, Helen, Marley, Sarah Elizabeth, Juanita Scott, Marietta Louise, Schwartz, Lawrence H, Ghiorghiu, Dana Cici, Zhao, Binsheng

“…To study the magnitude of differences in tumour unidimensional (1D), bidimensional (2D) and volumetric (VOL) measurements determined from computed tomography…”
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Evaluating Variability in Tumor Measurements from Same-day Repeat CT Scans of Patients with Non–Small Cell Lung Cancer1 by Binsheng Zhao, Leonard P. James, Chaya S. Moskowitz, Pingzhen Guo, Michelle S. Ginsberg, Robert A. Lefkowitz, Yilin Qin, Gregory J. Riely, Mark G. Kris, Lawrence H. Schwartz

“…Purpose: To evaluate the variability of tumor unidimensional, bidimensional, and volumetric measurements on same-day repeat computed tomographic (CT) scans in…”
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