Zheng Chang

Overview:

Dr. Chang's research interests include radiation therapy treatment assessment using MR quantitative imaging, image guided radiation therapy (IGRT), fast MR imaging using parallel imaging and strategic phase encoding, and motion management for IGRT.

Positions:

Professor of Radiation Oncology

Radiation Oncology
School of Medicine

Member of the Duke Cancer Institute

Duke Cancer Institute
School of Medicine

Education:

Ph.D. 2006

University of British Columbia (Canada)

Grants:

Publications:

Multi-parametric MRI (mpMRI) for treatment response assessment of radiation therapy.

Magnetic resonance imaging (MRI) plays an important role in the modern radiation therapy (RT) workflow. In comparison with computed tomography (CT) imaging, which is the dominant imaging modality in RT, MRI possesses excellent soft-tissue contrast for radiographic evaluation. Based on quantitative models, MRI can be used to assess tissue functional and physiological information. With the developments of scanner design, acquisition strategy, advanced data analysis, and modeling, multiparametric MRI (mpMRI), a combination of morphologic and functional imaging modalities, has been increasingly adopted for disease detection, localization, and characterization. Integration of mpMRI techniques into RT enriches the opportunities to individualize RT. In particular, RT response assessment using mpMRI allows for accurate characterization of both tissue anatomical and biochemical changes to support decision-making in monotherapy of radiation treatment and/or systematic cancer management. In recent years, accumulating evidence have, indeed, demonstrated the potentials of mpMRI in RT response assessment regarding patient stratification, trial benchmarking, early treatment intervention, and outcome modeling. Clinical application of mpMRI for treatment response assessment in routine radiation oncology workflow, however, is more complex than implementing an additional imaging protocol; mpMRI requires additional focus on optimal study design, practice standardization, and unified statistical reporting strategy to realize its full potential in the context of RT. In this article, the mpMRI theories, including image mechanism, protocol design, and data analysis, will be reviewed with a focus on the radiation oncology field. Representative works will be discussed to demonstrate how mpMRI can be used for RT response assessment. Additionally, issues and limits of current works, as well as challenges and potential future research directions, will also be discussed.
Authors
Wang, C; Padgett, KR; Su, M-Y; Mellon, EA; Maziero, D; Chang, Z
MLA Citation
Wang, Chunhao, et al. “Multi-parametric MRI (mpMRI) for treatment response assessment of radiation therapy.Med Phys, Aug. 2021. Pubmed, doi:10.1002/mp.15130.
URI
https://scholars.duke.edu/individual/pub1493024
PMID
34374098
Source
pubmed
Published In
Med Phys
Published Date
DOI
10.1002/mp.15130

Establishing ADC-Based Histogram and Texture Features for Early Treatment-Induced Changes in Head and Neck Squamous Cell Carcinoma.

The purpose of this study was to assess baseline variability in histogram and texture features derived from apparent diffusion coefficient (ADC) maps from diffusion-weighted MRI (DW-MRI) examinations and to identify early treatment-induced changes to these features in patients with head and neck squamous cell carcinoma (HNSCC) undergoing definitive chemoradiation. Patients with American Joint Committee on Cancer Stage III-IV (7th edition) HNSCC were prospectively enrolled on an IRB-approved study to undergo two pre-treatment baseline DW-MRI examinations, performed 1 week apart, and a third early intra-treatment DW-MRI examination during the second week of chemoradiation. Forty texture and six histogram features were derived from ADC maps. Repeatability of the features from the baseline ADC maps was assessed with the intra-class correlation coefficient (ICC). A Wilcoxon signed-rank test compared average baseline and early treatment feature changes. Data from nine patients were used for this study. Comparison of the two baseline ADC maps yielded 11 features with an ICC ≥ 0.80, indicating that these features had excellent repeatability: Run Gray-Level Non-Uniformity, Coarseness, Long Zone High Gray-Level, Variance (Histogram Feature), Cluster Shade, Long Zone, Variance (Texture Feature), Run Length Non-Uniformity, Correlation, Cluster Tendency, and ADC Median. The Wilcoxon signed-rank test resulted in four features with significantly different early treatment-induced changes compared to the baseline values: Run Gray-Level Non-Uniformity (p = 0.005), Run Length Non-Uniformity (p = 0.005), Coarseness (p = 0.006), and Variance (Histogram) (p = 0.006). The feasibility of histogram and texture analysis as a potential biomarker is dependent on the baseline variability of each metric, which disqualifies many features.
Authors
Rodrigues, A; Loman, K; Nawrocki, J; Hoang, JK; Chang, Z; Mowery, YM; Oyekunle, T; Niedzwiecki, D; Brizel, DM; Craciunescu, O
MLA Citation
Rodrigues, Anna, et al. “Establishing ADC-Based Histogram and Texture Features for Early Treatment-Induced Changes in Head and Neck Squamous Cell Carcinoma.Front Oncol, vol. 11, 2021, p. 708398. Pubmed, doi:10.3389/fonc.2021.708398.
URI
https://scholars.duke.edu/individual/pub1497057
PMID
34540674
Source
pubmed
Published In
Frontiers in Oncology
Volume
11
Published Date
Start Page
708398
DOI
10.3389/fonc.2021.708398

Multimaterial three-dimensional printing in brachytherapy: Prototyping teaching tools for interstitial and intracavitary procedures in cervical cancers.

PURPOSE: As the utilization of brachytherapy procedures continues to decline in clinics, a need for accessible training tools is required to help bridge the gap between resident comfort in brachytherapy training and clinical practice. To improve the quality of intracavitary and interstitial high-dose-rate brachytherapy education, a multimaterial, modular, three-dimensionally printed pelvic phantom prototype simulating normal and cervical pathological conditions has been developed. METHODS AND MATERIALS: Patient anatomy was derived from pelvic CT and MRI scans from 50 representative patients diagnosed with localized cervical cancer. Dimensions measured from patients' uterine body and uterine canal sizes were used to construct a variety of uteri based off of the averages and standard deviations of the subjects in our study. Soft-tissue anatomy was three-dimensionally printed using Agilus blends (shore 30 and 70) and modular components using Vero (shore 85). RESULTS: The kit consists of four uteri, a standard bladder, a standard rectum, two embedded gross tumor volumes, and four clip-on gross tumor volume attachments. The three anteverted uteri in the kit are based on the smallest, the average, and the largest dimensions from our patient set, whereas the retroverted uterus assumes average dimensions. CONCLUSIONS: This educational high-dose-rate gynecological pelvic phantom is an accessible and cost-effective way to improve radiation oncology resident training in intracavitary/interstitial brachytherapy cases. Implementation of this phantom in resident education will allow for more thorough and comprehensive physician training through its ability to transform the patient scenario. It is expected that this tool will help improve confidence and efficiency when performing brachytherapy procedures in patients.
Authors
Campelo, S; Subashi, E; Meltsner, SG; Chang, Z; Chino, J; Craciunescu, O
MLA Citation
Campelo, Sabrina, et al. “Multimaterial three-dimensional printing in brachytherapy: Prototyping teaching tools for interstitial and intracavitary procedures in cervical cancers.Brachytherapy, vol. 19, no. 6, Nov. 2020, pp. 767–76. Pubmed, doi:10.1016/j.brachy.2020.07.013.
URI
https://scholars.duke.edu/individual/pub1459498
PMID
32893145
Source
pubmed
Published In
Brachytherapy
Volume
19
Published Date
Start Page
767
End Page
776
DOI
10.1016/j.brachy.2020.07.013

Effectiveness evaluation method of system-of-systems based on operation loop and improved information entropy

Aiming at the problem of various equipment and complicated correlations in operation system-of-systems under the information conditions, an effectiveness evaluation method of system-of-systems based on the operation loop and improved information entropy is proposed according to the traction of enemy targets. The equipment and correlations are abstracted as nodes and edges. The edges' metrics are determined according to the tactical and technical indexes of the nodes, and the network model of operation system-of-systems based on the operation loop is constructed. The methods to determine the number of the operation loop based on the adjacency matrix and evaluate the effectiveness of the operation loop based on improved information entropy are respectively proposed. The effectiveness evaluation model of operation system-of-systems is built according to the number and effectiveness of the operation loop involved in each target node. Taking an combating large surface warship operation system-of-systems as an example, the results show that the proposed method has fully taken the heterogeneity and uncertainty of each equipment and correlation into consideration to evaluate the effectiveness of the system-of-systems comprehensively and objectively. The proposed method can provide methodological support for the effectiveness evaluation and structural optimization of operation system-of-systems.
Authors
Luo, C; Chen, Y; Wang, L; Wang, Z; Chang, Z
MLA Citation
Luo, C., et al. “Effectiveness evaluation method of system-of-systems based on operation loop and improved information entropy.” Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, vol. 41, no. 1, Jan. 2019, pp. 73–80. Scopus, doi:10.3969/j.issn.1001-506X.2019.01.11.
URI
https://scholars.duke.edu/individual/pub1451120
Source
scopus
Published In
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics
Volume
41
Published Date
Start Page
73
End Page
80
DOI
10.3969/j.issn.1001-506X.2019.01.11

Evaluation of Equipment Contribution Rate to System-of-systems Based on Hybrid Parameter Evidential Network

An evaluation method of equipment contribution rate to system-of-systems based on hybrid parameter evidential network is proposed for the complicated correlation between the capability of equipment system-of-systems and the uncertainty of evaluating information. An evidential network structure model for evaluation of equipment contribution rate to system-of-systems is constructed based on the correlation between the capabilities of the same level. The requirement satisfactory degree evaluation methods for evaluating the capabilities of the same level based on conditional belief parameter model and the cross-level based on belief rule parameter model are proposed, respectively, and an evaluation model of equipment contribution rate to system-of-systems is established according to the utility function. An anti-aircraft carrier equipment system-of-systems is modeled and analyzed.The results show that the proposed method can reflect the emergence of the overall capability of equipment system-of-systems, and can evaluate the equipment contribution rate to system-of-systems comprehensively and objectively.
Authors
Luo, CK; Chen, YX; Zhang, YM; Chang, Z; Zhu, Q
MLA Citation
Luo, C. K., et al. “Evaluation of Equipment Contribution Rate to System-of-systems Based on Hybrid Parameter Evidential Network.” Binggong Xuebao/Acta Armamentarii, vol. 39, no. 12, Dec. 2018, pp. 2488–96. Scopus, doi:10.3969/j.issn.1000-1093.2018.12.023.
URI
https://scholars.duke.edu/individual/pub1451121
Source
scopus
Published In
Binggong Xuebao/Acta Armamentarii
Volume
39
Published Date
Start Page
2488
End Page
2496
DOI
10.3969/j.issn.1000-1093.2018.12.023