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Browsing by Author "Yang, Jun"

Now showing 1 - 4 of 4
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    Favorable Biochemical Freedom From Recurrence With Stereotactic Body Radiation Therapy for Intermediate and High-Risk Prostate Cancer: A Single Institutional Experience With Long-Term Follow-Up
    Ricco, Anthony; Barbera, Gabrielle; Lanciano, Rachelle; Feng, Jing; Hanlon, Alexandra L.; Lozano, Alicia J.; Good, Michael; Arrigo, Stephen; Lamond, John; Yang, Jun (Frontiers, 2020-09-25)
    Purpose/Objective(s): The current study reports long-term overall survival (OS) and biochemical freedom from recurrence (BFFR) after stereotactic body radiation therapy (SBRT) for men with intermediate and high-risk prostate cancer in a single community hospital setting with early adoption. Materials/Methods: Ninety-seven consecutive men with intermediate and high-risk prostate cancer treated with SBRT between 2007 and 2015 were retrospectively studied. Categorical variables for analysis included National Comprehensive Cancer Network risk group, race, Gleason grade group, T stage, use of androgen deprivation therapy, and planning target volume dose. Continuous variables for analysis included pretreatment prostate-specific antigen (PSA), percent cores positive, age at diagnosis, PSA nadir, prostate volume, percent prostate that received 40 Gy, and minimum dose to 0.03 cc of prostate (Dmin). BFFR was assessed using the Phoenix nadir +2 definition. OS and BFFR were estimated using Kaplan–Meier (KM) methodology with comparisons accomplished using log-rank statistics. Multivariable analysis (MVA) was accomplished with a backwards selection Cox proportional-hazards model with statistical significance taken at the p < 0.05 level. Results: Median FU is 78.4 months. Five- and ten-year OS KM estimates are 90.9 and 73.2%, respectively, with 19 deaths recorded. MVA reveals pretreatment PSA (p = 0.032), percent prostate 40 Gy (p = 0.003), and race (p = 0.031) were predictive of OS. Five- and nine-year BFFR KM estimates are 92.1 and 87.5%, respectively, with 10 biochemical failures recorded. MVA revealed PSA nadir (p < 0.001) was the only factor predictive of BFFR. Specifically, for every one-unit increase in PSA nadir, there was a 4.2-fold increased odds of biochemical failure (HR = 4.248). No significant differences in BFFR were found between favorable intermediate, unfavorable intermediate, and high-risk prostate cancer (p = 0.054) with 7-year KM estimates of 96.6, 81.0, and 85.7%, respectively. Conclusions: Favorable OS and BFFR can be expected after SBRT for intermediate and high-risk prostate cancer with non-significant differences seen for BFFR between favorable intermediate, unfavorable intermediate, and high-risk groups. Our 5-year BFFR compares favorably with the HYPO-RT-PC trial of 84%. PSA nadir was predictive of biochemical failure. This study is ultimately limited by the small absolute number of high-risk patients included.
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    Repeat Thoracic Stereotactic Body Radiation Therapy (SBRT) for Nonsmall Cell Lung Cancer: Long-Term Outcomes, Toxicity, and Dosimetric Considerations
    Ricco, Anthony; Barlow, Sara; Feng, Jing; Jacob, Janson; Lozano, Alicia J.; Hanlon, Alexandra L.; Arrigo, Stephen; Obayomi-Davies, Olusola; Lamond, John; Yang, Jun; Lanciano, Rachelle (2020-10)
    Purpose: Lung reirradiation for nonsmall cell lung cancer (NSCLC) is common for either recurrent disease or new primary cancer. Dose volume tolerance of the lung after multiple courses of radiation therapy (RT) is unknown. We review our experience with lung reirradiation for patients with NSCLC in a single community setting using stereotactic body radiation therapy (SBRT) to report lung cumulative doses, survival, and toxicity. Methods and Materials: Forty-four patients who received at least 2 curative courses of lung RT with the second course delivered between January 2012 and December 2017 were eligible. All patients had NSCLC and were treated with SBRT for reirradiation. Cumulative lung dose volume histograms for all courses were generated, summated, and converted into cumulative equivalent dose in 2 Gy fractions (EQD2). Actuarial overall survival (OS), local control, and toxicity is reported, including a subset of patients who received more than 2 courses of SBRT. Results: Median age of the group was 71 years (range, 51-87). Median survival of the entire group from diagnosis, first, and second courses of RT was 3.94, 3.03, and 2.03 years. Three-year actuarial OS for the entire group was 34.1% from second course of RT. The mean EQD2 Gy3 mean lung dose for all courses was 12.35 Gy (range, 2.7-26.52). The mean EQD2 Gy(3) V5Gy, V10Gy, V20Gy, V30Gy, and V40Gy were 40.9%, 25.5%, 14.7%, 10.2%, and 7.7%. Six-year actuarial freedom from grade >= 3 complications was 86.3%. The rate of grade >= 3 lung toxicity was 4.5% (2 of 44). Other late toxicities included grade 3 recurrent laryngeal nerve damage (n=1) and grade 3 chest wall pain/rib fracture (n = 1). Overall, 32% of patients had more than 2 courses of RT to the lung (range, 3-7). Conclusions: Long-term OS is possible with multiple RT courses to the lung for NSCLC with low toxicity. (C) 2020 The Author(s). Published by Elsevier Inc. on behalf of American Society for Radiation Oncology.
  • The Swan User's Manual, Version 1.1
    Yang, Jun; Shaffer, Clifford A.; Heath, Lenwood S. (Department of Computer Science, Virginia Polytechnic Institute & State University, 1995-08-01)
    Swan is a data structure visualization program. Its main purpose is to allow the user to visualize the data structures used in a C/C++ program. Swan is specifically designed to support visualization of programs implementing various graph algorithms.
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    Swan: a data structure visualization system
    Yang, Jun (Virginia Tech, 1995)
    Swan is a data structure visualization system. Using Swan, a C or C++ program can be annotated to provide multiple views of the data structures used in the program so that they can be better understood by the viewer. Swan allows visualization to be a two-way communication process between the viewer and the program. Several automatic graph layout algorithms are implemented in Swan for layout of various data structures. Automatic layout allows the annotator to concentrate on the logical views of data structures without worrying about their graphical display. Swan serves as a data structure visualization system, a graphical debugging tool, and a platform for experimenting with graph layout algorithms.