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  • 11
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    Online Resource
    Knowledge-Based Statistical Inference Method for Plan Quality Quantification
    SAGE Publications ; 2019
    In:  Technology in Cancer Research & Treatment Vol. 18 ( 2019-01-01), p. 153303381985775-
    Details
    In: Technology in Cancer Research & Treatment, SAGE Publications, Vol. 18 ( 2019-01-01), p. 153303381985775-
    Abstract: The aim of the study is to develop a geometrically adaptive and statistically robust plan quality inference method. Methods and Materials: We propose a knowledge-based plan quality inference method that references to similar plans in the historical database for patient-specific plan quality evaluation. First, a novel plan similarity metric with high-dimension geometrical difference quantification is utilized to retrieve similar plans. Subsequently, dosimetric statistical inferences are obtained from the selected similar plans. Two plan quality metrics—dosimetric result probability and dose deviation index—are proposed to quantify plan quality among prior similar plans. To evaluate the performance of the proposed method, we exported 927 clinically approved head and neck treatment plans. Eight organs at risk, including brain stem, cord, larynx, mandible, pharynx, oral cavity, left parotid and right parotid, were analyzed. Twelve suboptimal plans identified by dosimetric result probability were replanned to validate the capability of the proposed methods in identifying inferior plans. Results: After replanning, left and right parotid median doses are reduced by 31.7% and 18.2%, respectively; 83% of these cases would not be identified as suboptimal without the proposed similarity plan selection. Analysis of population plan quality reveals that average parotid sparing has been improving significantly over time (21.7% dosimetric result probability reduction from year 2006-2007 to year 2016-2017). Notably, the increasing dose sparing over time in retrospective plan quality analysis is strongly correlated with the increasing dose prescription ratios to the 2 planning targets, revealing the collective trend in planning conventions. Conclusions: The proposed similar plan retrieval and analysis methodology has been proven to be predictive of the current plan quality. Therefore, the proposed workflow can potentially be applied in the clinics as a real-time plan quality assurance tool. The proposed metrics can also serve the purpose of plan quality analytics in finding connections and historical trends in the clinical treatment planning workflow.
    Type of Medium: Online Resource
    ISSN: 1533-0346 , 1533-0338
    URL: Article
    DOI: 10.1177/1533033819857758
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2019
    detail.hit.zdb_id: 2146365-7
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  • 12
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    New Abietane-type Diterpenoids from the Bark of Cryptomeria japonica
    SAGE Publications ; 2019
    In:  Natural Product Communications Vol. 14, No. 1 ( 2019-01), p. 1934578X1901400-
    Details
    In: Natural Product Communications, SAGE Publications, Vol. 14, No. 1 ( 2019-01), p. 1934578X1901400-
    Abstract: Two new abietane-type diterpenoids, 15-hydroxy-12- O-methylsugiol (1) and 2a-hydroxy-12- O-methylsugiol (2) were isolated from the methanol extract of the bark of Cryptomeria japonica. Their structures were elucidated on the basis of spectroscopic analysis and comparison of NMR data with those of known analogues. Compounds 2 showed 13.5% inhibition towards xanthine oxidase enzyme at the concentration of 75 μM
    Type of Medium: Online Resource
    ISSN: 1934-578X , 1555-9475
    URL: Article
    DOI: 10.1177/1934578X1901400125
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2019
    detail.hit.zdb_id: 2430442-6
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  • 13
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    Effect of Hinoki and Meniki Essential Oils on Human Autonomic Nervous System Activity and Mood States
    SAGE Publications ; 2015
    In:  Natural Product Communications Vol. 10, No. 7 ( 2015-07), p. 1934578X1501000-
    Details
    In: Natural Product Communications, SAGE Publications, Vol. 10, No. 7 ( 2015-07), p. 1934578X1501000-
    Abstract: Meniki ( Chamecyparis formosensis) and Hinoki ( C. obtusa) are precious conifers with excellent wood properties and distinctive fragrances that make these species popular in Taiwan for construction, interiors and furniture. In the present study, the compositions of essential oils prepared from Meniki and Hinoki were analyzed by gas chromatography-mass spectrometry (GC/MS). Thirty-six compounds were identified from the wood essential oil of Meniki, including 5-cadinene, y-cadinene, 5-cadinol, α-muurolene, calamenene, linalyl acetate and myrtenol; 29 compounds were identified from Hinoki, including α-terpineol, α-pinene, 8-cadinene, borneol, terpinolene, and limonene. Next, we examined the effect of Meniki and Hinoki essential oils on human autonomic nervous system activity. Sixteen healthy adults received Meniki or Hinoki by inhalation for 5 min, and the physiological and psychological effects were examined. After inhaling Meniki essential oil, participant's systolic blood pressure and heart rate (HR) were decreased, and diastolic blood pressure increased. In addition, sympathetic nervous activity (SNS) was significantly decreased, and parasympathetic activity (PSNS) was significantly increased. On the other hand, after inhaling Hinoki essential oil, systolic blood pressure, heart rate and PSNS were decreased, whereas SNA was increased. Indeed, both Meniki and Hinoki essential oils increased heart rate variability (HRV) in tested adults. Furthermore, in the Profile of Mood States (POMS) test, both Meniki and Hinoki wood essential oils stimulated a pleasant mood status. Our results strongly suggest that Meniki and Hinoki essential oils could be suitable agents for the development of regulators of sympathetic nervous system dysfunctions.
    Type of Medium: Online Resource
    ISSN: 1934-578X , 1555-9475
    URL: Article
    DOI: 10.1177/1934578X1501000742
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2015
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  • 14
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    New Furanone and Sesquiterpene from the Pericarp of Calocedrus formosana
    SAGE Publications ; 2015
    In:  Natural Product Communications Vol. 10, No. 6 ( 2015-06), p. 1934578X1501000-
    Details
    In: Natural Product Communications, SAGE Publications, Vol. 10, No. 6 ( 2015-06), p. 1934578X1501000-
    Abstract: One new γ-lactone, namely calolactone (1), together with one new drimane-type sesquiterpene, namely caloterpene (2), were isolated from the pericarp of Calocedrus formosana Florin. Their structures were elucidated by spectroscopic and mass spectrometric analysis.
    Type of Medium: Online Resource
    ISSN: 1934-578X , 1555-9475
    URL: Article
    DOI: 10.1177/1934578X1501000611
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2015
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  • 15
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    Anti-inflammatory and Anti-oxidative Activities of Polyacetylene from Dendropanax dentiger
    SAGE Publications ; 2014
    In:  Natural Product Communications Vol. 9, No. 11 ( 2014-11), p. 1934578X1400901-
    Details
    In: Natural Product Communications, SAGE Publications, Vol. 9, No. 11 ( 2014-11), p. 1934578X1400901-
    Abstract: Dendropanax dentiger has been used as a folk medicine since ancient times. In our current study, we observed that D. dentiger exhibited a significant anti-inflammatory activity, which could efficiently inhibit nitric oxide (NO) production in the lipopolysaccharide (LPS)-induced macrophage inflammation assay. (9 Z,16 S)-16-Hydroxy-9,17-octadecadiene-12,14-diynoic acid (HODA) was isolated from the leaves of D. dentiger following a bioactivity guided fractionation protocol. Our data indicated that HODA significantly inhibited the NO production in LPS-induced RAW 264.7 murine macrophage cells (IC 50 = 4.28 μM). Consistent with these observations, the mRNA and protein expression levels of iNOS were also inhibited by HODA in a dose-dependent manner. HODA also reduced the translocation of NF-κB into nuclear fractions. Meanwhile, HODA enhanced Nrf-2 activation and its downstream antioxidant gene HO-1. We concluded that HODA possessed significant anti-inflammatory and anti-oxidative activity; the compound may have a potential for development as a chemoprevention agent.
    Type of Medium: Online Resource
    ISSN: 1934-578X , 1555-9475
    URL: Article
    DOI: 10.1177/1934578X1400901115
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2014
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  • 16
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    Goal-Driven Beam Setting Optimization for Whole-Breast Radiation Therapy
    SAGE Publications ; 2019
    In:  Technology in Cancer Research & Treatment Vol. 18 ( 2019-01-01), p. 153303381985866-
    Details
    In: Technology in Cancer Research & Treatment, SAGE Publications, Vol. 18 ( 2019-01-01), p. 153303381985866-
    Abstract: To develop an automated optimization program to generate optimal beam settings for whole-breast radiation therapy driven by clinically oriented goals. Materials and Methods: Forty patients were retrospectively included in this study. Each patient’s planning images, contoured structures of planning target volumes, organs-at-risk, and breast wires were used to optimize for patient-specific–beam settings. Two beam geometries were available tangential beams only and tangential plus supraclavicular beams. Beam parameters included isocenter position, gantry, collimator, couch angles, and multileaf collimator shape. A geometry-based goal function was defined to determine such beam parameters to minimize out-of-field target volume and in-field ipsilateral lung volume. For each geometry, the weighting in the goal function was trained with 10 plans and tested on 10 additional plans. For each query patient, the optimal beam setting was searched for different gantry-isocenter pairs. Optimal fluence maps were generated by an in-house automatic fluence optimization program for target coverage and homogeneous dose distribution, and dose calculation was performed in Eclipse. Automatically generated plans were compared with manually generated plans for target coverage and lung and heart sparing. Results: The program successfully produced a set of beam parameters for every patient. Beam optimization time ranged from 10 to 120 s. The automatic plans had overall comparable plan quality to manually generated plans. For all testing cases, the mean target V 95% was 91.0% for the automatic plans and 88.5% for manually generated plans. The mean ipsilateral lung V 20Gy was lower for the automatic plans (15.2% vs 17.9%). The heart mean dose, maximum dose of the body, and conformity index were all comparable. Conclusion: We developed an automated goal-driven beam setting optimization program for whole-breast radiation therapy. It provides clinically relevant solutions based on previous clinical practice as well as patient specific anatomy on a substantially faster time frame.
    Type of Medium: Online Resource
    ISSN: 1533-0346 , 1533-0338
    URL: Article
    DOI: 10.1177/1533033819858661
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2019
    detail.hit.zdb_id: 2146365-7
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  • 17
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    A Collimator Setting Optimization Algorithm for Dual-Arc Volumetric Modulated Arc Therapy in Pancreas Stereotactic Body Radiation Therapy
    SAGE Publications ; 2019
    In:  Technology in Cancer Research & Treatment Vol. 18 ( 2019-01-01), p. 153303381987076-
    Details
    In: Technology in Cancer Research & Treatment, SAGE Publications, Vol. 18 ( 2019-01-01), p. 153303381987076-
    Abstract: To optimize collimator setting to improve dosimetric quality of pancreas volumetric modulated arc therapy plan for stereotactic body radiation therapy. Materials and Methods: Fifty-five volumetric modulated arc therapy cases in stereotactic body radiation therapy of pancreas were retrospectively included in this study with internal review board approval. Different from the routine practice of initializing collimator settings with a template, the proposed algorithm simultaneously optimizes the collimator angles and jaw positions that are customized to the patient geometry. Specifically, this algorithm includes 2 key steps: (1) an iterative optimization algorithm via simulated annealing that generates a set of potential collimator settings from 39 cases with pancreas stereotactic body radiation therapy, and (2) a multi-leaf collimator modulation scoring system that makes the final decision of the optimal collimator settings (collimator angles and jaw positions) based on organs at risk sparing criteria. For validation, the other 16 cases with pancreas stereotactic body radiation therapy were analyzed. Two plans were generated for each validation case, with one plan optimized using the proposed algorithm ( Plan opt ) and the other plan with the template setting ( Plan conv ). Each plan was optimized with 2 full arcs and the same set of constraints for the same case. Dosimetric results were analyzed and compared, including target dose coverage, conformity, organs at risk maximum dose, and modulation complexity score. All results were tested by Wilcoxon signed rank tests, and the statistical significance level was set to .05. Results: Both plan groups had comparable target dose coverage and mean doses of all organs at risk. However, organs at risk (stomach, duodenum, large/small bowel) maximum dose sparing ( D 0.1 cc and D 0.03 cc ) was improved in Plan opt compared to Plan conv . Plan opt also showed lower modulation complexity score, which suggests better capability of handling complex shape and sparing organs at risk . Conclusions: The proposed collimator settings optimization algorithm successfully improved dosimetric performance for dual-arc pancreas volumetric modulated arc therapy plans in stereotactic body radiation therapy of pancreas. This algorithm has the capability of immediate clinical application.
    Type of Medium: Online Resource
    ISSN: 1533-0346 , 1533-0338
    URL: Article
    DOI: 10.1177/1533033819870767
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2019
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  • 18
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    Incorporating Case-Based Reasoning for Radiation Therapy Knowledge Modeling: A Pelvic Case Study
    SAGE Publications ; 2019
    In:  Technology in Cancer Research & Treatment Vol. 18 ( 2019-01-01), p. 153303381987478-
    Details
    In: Technology in Cancer Research & Treatment, SAGE Publications, Vol. 18 ( 2019-01-01), p. 153303381987478-
    Abstract: Knowledge models in radiotherapy capture the relation between patient anatomy and dosimetry to provide treatment planning guidance. When treatment schemes evolve, existing models struggle to predict accurately. We propose a case-based reasoning framework designed to handle novel anatomies that are of same type but vary beyond original training samples. A total of 105 pelvic intensity-modulated radiotherapy cases were analyzed. Eighty cases were prostate cases while the other 25 were prostate-plus-lymph-node cases. We simulated 4 scenarios: Scarce scenario, Semiscarce scenario, Semiample scenario, and Ample scenario. For the Scarce scenario, a multiple stepwise regression model was trained using 85 cases (80 prostate, 5 prostate-plus-lymph-node). The proposed workflow started with evaluating the feature novelty of new cases against 5 training prostate-plus-lymph-node cases using leverage statistic. The case database was composed of a 5-case dose atlas. Case-based dose prediction was compared against the regression model prediction using sum of squared residual. Mean sum of squared residual of case-based and regression predictions for the bladder of 13 identified outliers were 0.174 ± 0.166 and 0.459 ± 0.508, respectively ( P = .0326). For the rectum, the respective mean sum of squared residuals were 0.103 ± 0.120 and 0.150 ± 0.171 for case-based and regression prediction ( P = .1972). By retaining novel cases, under the Ample scenario, significant statistical improvement was observed over the Scarce scenario ( P = .0398) for the bladder model. We expect that the incorporation of case-based reasoning that judiciously applies appropriate predictive models could improve overall prediction accuracy and robustness in clinical practice.
    Type of Medium: Online Resource
    ISSN: 1533-0346 , 1533-0338
    URL: Article
    DOI: 10.1177/1533033819874788
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2019
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  • 19
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    New Benzenoids from the Roots of Lindera aggregata
    SAGE Publications ; 2015
    In:  Natural Product Communications Vol. 10, No. 12 ( 2015-12), p. 1934578X1501001-
    Details
    In: Natural Product Communications, SAGE Publications, Vol. 10, No. 12 ( 2015-12), p. 1934578X1501001-
    Abstract: Two new benzenoids, linderagatin A and B (1–2), were isolated from the roots of Lindera aggregata. Their structures were elucidated on the basis of 1D ( 1 H, 13 C) and 2D NMR (COSY, NOESY, HSQC and HMBC) spectra. Moreover, their absolute configurations were established from ECD spectra compared with previous reports.
    Type of Medium: Online Resource
    ISSN: 1934-578X , 1555-9475
    URL: Article
    DOI: 10.1177/1934578X1501001229
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2015
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  • 20
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    Distinguishing between R - and S -Antcin C and Their Cytotoxicity
    SAGE Publications ; 2012
    In:  Natural Product Communications Vol. 7, No. 7 ( 2012-07), p. 1934578X1200700-
    Details
    In: Natural Product Communications, SAGE Publications, Vol. 7, No. 7 ( 2012-07), p. 1934578X1200700-
    Abstract: Antcin C is a bioactive compound isolated from Antrodia cinnamomea, a rare and expensive medicinal fungus endemic to Taiwan. Up to date, the absolute structure of antcin C has not been solved. In this study, the phenylglycine methyl ester (PGME) derivatives of antcin C were prepared. From NMR analysis the absolute configuration of ( S)-antcin C (1) and ( R)-antcin C (2) were determined. By MTT assay, ( S)-antcin C presented cytotoxicity against Hep G2 and MCF-7 cells, with IC 50 values of 14.5 and 12.8 μg/mL, respectively. However, ( R)-antcin C did not show significant cytotoxicity. Our results showed that the configuration at C 25 for antcin C is very important for its cytotoxicity. From a quality control point of view, it is necessary to identify and quantify the R- and S- enantiomers in the A. cinnamomea products.
    Type of Medium: Online Resource
    ISSN: 1934-578X , 1555-9475
    URL: Article
    DOI: 10.1177/1934578X1200700707
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2012
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