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Glucose and forskolin regulate IAPP gene expression through different signal transduction pathways
Ding, Wei-Qun, Holicky, Eileen L., Ding, Wei‐Qun , Miller, Laurence J.

American Journal of Physiology-Endocrinology and Metabolism | December 22, 2017 | Volume: 281 | Issue: 5 | Pages: E938-E945

10.1152/ajpendo.2001.281.5.e938 | PMID 11595649 Get It

Molecular mechanisms for the regulation of islet amyloid polypeptide (IAPP) gene expression remain unclear. In the present study, we investigated the effects of glucose and forskolin on IAPP gene regulation in the INS-1 islet β-cell line. Both glucose and forskolin increased the level of expression of this gene, as measured by Northern blot analysis, and increased IAPP gene transcription in a time- and concentration-dependent manner, as demonstrated in a reporter gene assay. Although inhibition of protein kinase A activity with H-89 eliminated the effect of forskolin on this gene, the glucose effect was unaffected. This supported the predominant use of a protein kinase A-independent signaling pathway for glucose regulation of the IAPP gene. Electrophoretic mobility shift assay further indicated that glucose and forskolin regulated expression of this gene by targeting different elements of the promoter. Mutation of the cAMP regulatory element flanking the IAPP coding region resulted in the loss of most of the forskolin-stimulated IAPP gene promoter activity, whereas glucose-enhanced IAPP gene transcription was unaffected. These results demonstrate parallel and distinct regulatory pathways involved in glucose- and forskolin-induced IAPP gene expression in this model β-cell system.
A Novel Signaling Complex between TROY and EGFR Mediates Glioblastoma Cell Invasion
Ding, Zonghui , Roos, Alison , Kloss, Jean , Peng, Sen, Pirrotte, Patrick , Eschbacher, Jennifer M., Tran, Nhan L. , Loftus, Joseph C. , Dhruv, Harshil , Tran, Nhan L

Molecular Cancer Research | November 8, 2017 | Volume: 16 | Issue: 2 | Pages: 322-332

10.1158/1541-7786.mcr-17-0454 | PMID 29117939 Get It

Abstract Glioblastoma is the most frequent primary brain tumor in adults and a highly lethal malignancy with a median survival of about 15 months. The aggressive invasion of the surrounding normal brain makes complete surgical resection impossible, increases the resistance to radiation and chemotherapy, and assures tumor recurrence. Thus, there is an urgent need to develop innovative therapeutics to target the invasive tumor cells for improved treatment outcomes of this disease. Expression of TROY (TNFRSF19), a member of the tumor necrosis factor (TNF) receptor family, increases with increasing glial tumor grade and inversely correlates with patient survival. Increased expression of TROY stimulates glioblastoma cell invasion in vitro and in vivo and increases resistance to temozolomide and radiation therapy. Conversely, silencing TROY expression inhibits glioblastoma cell invasion, increases temozolomide sensitivity, and prolongs survival in an intracranial xenograft model. Here, a novel complex is identified between TROY and EGFR, which is mediated predominantly by the cysteine-rich CRD3 domain of TROY. Glioblastoma tumors with elevated TROY expression have a statistically positive correlation with increased EGFR expression. TROY expression significantly increases the capacity of EGF to stimulate glioblastoma cell invasion, whereas depletion of TROY expression blocks EGF stimulation of glioblastoma cell invasion. Mechanistically, TROY expression modulates EGFR signaling by facilitating EGFR activation and delaying EGFR receptor internalization. Moreover, the association of EGFR with TROY increases TROY-induced NF-κB activation. These findings substantiate a critical role for the TROY–EGFR complex in regulation of glioblastoma cell invasion. Implications: The TROY–EGFR signaling complex emerges as a potential therapeutic target to inhibit glioblastoma cell invasion. Mol Cancer Res; 16(2); 322–32. ©2017 AACR.
Historical epidemiology of hepatitis C virus in select countries—volume 4
Vince, Adriana , Himatt, Sayed , Mohamed, Rosmawati , Opare‐Sem, Ohene , Workneh, A., Njouom, Richard , Ghazzawi, Imad, Abdulla, Maheeba , Kaliaskarova, Kulpash , Owusu‐Ofori, Shirley , Abdelmageed, Marwa , Adda, Danjuma, Baqali, A. Al, Dweik, N. Al, Ejji, Khalid Al, Kaabi, S. Al, Naamani, Khalid Al , Qamish, Jehad Al, Sadadi, M. Al, Salman, Jameela Al , AlBadri, M., Al‐Busafi, Said A. , Al‐Romaihi, Hamad Eid , Ampofo, William , Antonov, Krasimir , Anyaike, Chukwuma , Arome, F., Bane, Abate, Borodo, M. M., Brandon, S., Bright, Bisi , Butt, M. T., Cardenas, I., Chan, Henry Lik‐Yuen , Chen, C. J., Chen, Ding‐Shinn , Chen, Pei‐Jer , Cuellar, Diego , Derbala, M., Elbardiny, A. A., Estes, Chris , Farag, E., Gamkrelidze, Ivane , Garcìa, V. , Genov, J, Ghandour, Z., Ghuloom, M., Gómez, B. , Gunter, J., Habeeb, J., Hajelssedig, O. , Hamoudi, Waseem , Hrstić, Irena , Hu, Ching‐Chih , Huang, Chung‐Feng , Hui, Yee Tak , Jahis, Rohani, Jelev, Deian, John, Anil K , Kamel, Yasser , Kao, Jia‐Horng , Khamis, Jawad, Khattabi, H., Khoudri, Ibtissam , Конысбекова, А А , Kotzev, Iskren, Lai, Moon Sing, Lao, Wenyu, Layden, Jennifer E. , Lee, M. H., Lesi, Olufunmilayo , Li, M., Loo, Ching‐kong, Lukšić, Boris, Malu, Abraham O., Mateva, Lyudmila, Mitova, R, Morović, Miro, Murphy, K., Mustapha, B., Nde, H. , Nersesov, Alexander , Ngige, Evelyn, Njoya, Oudou, Nonković, Diana , Obekpa, Solomon, Oguche, Stephen , Okolo, Eucharia, Omede, O. , Omuemu, C., Phillips, Richard Odame , Prokopenko, Yuriy , Razavi, Homie , Razavi‐Shearer, Devin , Redae, Berhane, Reić, Tatjana, Wit, Tobias Rinke de, Ríos, Cielo , Robbins, S., Roberts, Lewis R. , Sanad, S. J., Schmelzer, Jonathan, Sharma, Manik , Simonova, Marieta, Su, Tung‐Hung , Sultan, K., Tan, S. S. , Tchernev, К., Tsang, O. T. Y., Tsang, S., Tzeuton, Christian, Ugoeze, S., Vi, R., Wani, Hamid, Yacoub, R., Yesmembetov, Kakharman, Youbi, M., Razavi‐Shearer, Kathryn , Wong, Grace Lai‐Hung , Roberts, Lewis R , Fung, James , Akın, Onur , Blach, Sarah , Chien, Rong‐Nan , Chuang, Wan‐Long , Lee, M.-H., Lo, Acy , Ondoa, Pascale , Wit, Tobias F. Rinke de , Robbins, S., Uzochukwu, Benjamin S C. , Wong, Vincent Wai‐Sun , Yuen, Man‐Fung , Lai-Hung Wong, Grace

Journal of Viral Hepatitis | November 4, 2017 | Volume: 24 | Issue: S2 | Pages: 8-24

10.1111/jvh.12762 | PMID 29105285 Get It

SummaryDue to the introduction of newer, more efficacious treatment options, there is a pressing need for policy makers and public health officials to develop or adapt national hepatitis C virus (HCV) control strategies to the changing epidemiological landscape. To do so, detailed, country‐specific data are needed to characterize the burden of chronic HCV infection. In this study of 17 countries, a literature review of published and unpublished data on HCV prevalence, viraemia, genotype, age and gender distribution, liver transplants and diagnosis and treatment rates was conducted, and inputs were validated by expert consensus in each country. Viraemic prevalence in this study ranged from 0.2% in Hong Kong to 2.4% in Taiwan, while the largest viraemic populations were in Nigeria (2 597 000 cases) and Taiwan (569 000 cases). Diagnosis, treatment and liver transplant rates varied widely across the countries included in this analysis, as did the availability of reliable data. Addressing data gaps will be critical for the development of future strategies to manage and minimize the disease burden of hepatitis C.
The present and future disease burden of hepatitis C virus infections with today's treatment paradigm: Volume 4
Chan, Henry Lik‐Yuen , Chen, C. J., Omede, O. , Qamish, Jehad Al, Naamani, Khalid Al , Bane, Abate, Tan, S. S. , Simonova, Marieta, Cardenas, I., Derbala, Moutaz , Phillips, Richard Odame , Abdelmageed, Marwa , Abdulla, Maheeba , Adda, Danjuma, Baqali, A. Al, Dweik, N. Al, Ejji, Khalid Al, Ghazzawi, Imad, Kaabi, S. Al, Sadadi, M. Al, Salman, Jameela Al , AlBadri, M., Al‐Busafi, Said A. , Al‐Romaihi, Hamad Eid , Ampofo, William , Antonov, Krasimir , Anyaike, Chukwuma , Arome, F., Blach, Sarah , Borodo, M. M., Brandon, S., Bright, Bisi , Butt, M. T., Chen, Ding‐Shinn , Chen, Pei‐Jer , Cuellar, Diego , Elbardiny, A. A., Farag, Elmoubasher , Gamkrelidze, Ivane , Garcìa, V. , Genov, J, Ghandour, Z., Ghuloom, M., Gómez, B. , Gunter, J., Habeeb, J., Hajelssedig, O. , Hamoudi, Waseem , Himatt, Sayed , Hrstić, Irena , Hu, Ching‐Chih , Huang, Chung‐Feng , Hui, Yee Tak , Jahis, Rohani, Jelev, Deian, John, Anil K , Kaliaskarova, Kulpash , Kamel, Yasser , Kao, Jia‐Horng , Khamis, Jawad, Khattabi, H., Khoudri, Ibtissam , Конысбекова, А А , Kotzev, Iskren, Lai, Moon Sing, Lao, Wenyu, Layden, Jennifer E. , Lee, M. H., Lesi, Olufunmilayo , Li, M., Loo, Ching Kong, Lukšić, Boris, Maaroufi, Abderrahmane , Malu, Abraham O., Mateva, Lyudmila, Mitova, R, Mohamed, Rosmawati , Morović, Miro, Murphy, K., Mustapha, B., Nersesov, Alexander , Ngige, Evelyn, Njouom, Richard , Njoya, Oudou, Nonković, Diana , Obekpa, Solomon, Oguche, Stephen , Okolo, Eucharia, Omuemu, C., Opare‐Sem, Ohene , Owusu‐Ofori, Shirley , Prokopenko, Yuriy , Razavi, Homie , Razavi‐Shearer, Devin , Razavi‐Shearer, Kathryn , Redae, Berhane, Reić, Tatjana, Wit, Tobias Rinke de, Ríos, Cielo , Robbins, S., Roberts, Lewis R. , Sanad, S. J., Schmelzer, Jonathan, Sharma, Manik , Su, Tung‐Hung , Sultan, K., Tchernev, К., Tsang, O. T. Y., Tsang, Simon H. Y., Tzeuton, Christian, Ugoeze, S., Vi, R., Vince, Adriana , Wani, Hamid, Workneh, A., Yacoub, R., Yesmembetov, Kakharman, Youbi, M., Nde, H. , Wong, Grace Lai‐Hung , Blach, S , Roberts, Lewis R , Akın, Onur , Chien, Rong‐Nan , Chuang, Wan‐Long , Estes, Chris , Fung, James , Lee, M.-H., Lo, Acy , Ondoa, Pascale , Wit, Tobias F. Rinke de , Robbins, S., Uzochukwu, Benjamin S C. , Wong, Vincent Wai‐Sun , Yuen, Man‐Fung , Lai-Hung Wong, Grace

Journal of Viral Hepatitis | November 4, 2017 | Volume: 24 | Issue: S2 | Pages: 25-43

10.1111/jvh.12760 | PMID 29105283 Get It

SummaryFactors influencing the morbidity and mortality associated with viremic hepatitis C virus (HCV) infection change over time and place, making it difficult to compare reported estimates. Models were developed for 17 countries (Bahrain, Bulgaria, Cameroon, Colombia, Croatia, Dominican Republic, Ethiopia, Ghana, Hong Kong, Jordan, Kazakhstan, Malaysia, Morocco, Nigeria, Qatar and Taiwan) to quantify and characterize the viremic population as well as forecast the changes in the infected population and the corresponding disease burden from 2015 to 2030. Model inputs were agreed upon through expert consensus, and a standardized methodology was followed to allow for comparison across countries. The viremic prevalence is expected to remain constant or decline in all but four countries (Ethiopia, Ghana, Jordan and Oman); however, HCV‐related morbidity and mortality will increase in all countries except Qatar and Taiwan. In Qatar, the high‐treatment rate will contribute to a reduction in total cases and HCV‐related morbidity by 2030. In the remaining countries, however, the current treatment paradigm will be insufficient to achieve large reductions in HCV‐related morbidity and mortality.
Strategies to manage hepatitis C virus infection disease burden—Volume 4
Chen, Ding‐Shinn , Hamoudi, Waseem , Mustapha, B., Layden, Jennifer E. , Nersesov, Alexander , Reić, Tatjana, Garcìa, V. , Ríos, Cielo , Mateva, Lyudmila, Njoya, Oudou, Al‐Busafi, Said A. , Abdelmageed, Marwa , Abdulla, Maheeba , Adda, Danjuma, Baqali, A. Al, Dweik, N. Al, Ejji, Khalid Al, Ghazzawi, Imad, Kaabi, S. Al, Naamani, Khalid Al , Qamish, Jehad Al, Sadadi, M. Al, Salman, Jameela Al , AlBadri, M., Al‐Romaihi, Hamad Eid , Ampofo, William , Antonov, Krasimir , Anyaike, Chukwuma , Arome, F., Bane, Abate, Blach, Sarah , Borodo, M. M., Brandon, S., Bright, Bisi , Butt, M. T., Cardenas, I., Chan, Henry Lik‐Yuen , Chen, C. J., Chen, Pei‐Jer , Cuellar, Diego , Derbala, M., Elbardiny, A. A., Farag, E., Gamkrelidze, Ivane , Genov, J, Ghandour, Z., Ghuloom, M., Gómez, B. , Gunter, J., Habeeb, J., Hajelssedig, O. , Himatt, Sayed , Hrstić, Irena , Hu, Ching‐Chih , Huang, Chung‐Feng , Hui, Yee‐Tak, Jahis, Rohani, Jelev, Deian, John, Anil K , Kaliaskarova, Kulpash , Kamel, Yasser , Kao, Jia‐Horng , Khamis, Jawad, Khattabi, H., Khoudri, Ibtissam , Конысбекова, А А , Kotzev, Iskren, Lai, Moon Sing, Lao, Wenyu, Lee, M. H., Lesi, Olufunmilayo , Li, M., Loo, Ching‐kong, Lukšić, Boris, Maaroufi, Abderrahmane , Malu, Abraham O., Mitova, R, Mohamed, Rosmawati , Morović, Miro, Murphy, K., Nde, H. , Ngige, Evelyn, Njouom, Richard , Nonković, Diana , Obekpa, Solomon, Oguche, Stephen , Okolo, Eucharia, Omede, O. , Omuemu, C., Opare‐Sem, Ohene , Owusu‐Ofori, Shirley , Phillips, Richard Odame , Prokopenko, Yuriy , Razavi, Homie , Razavi‐Shearer, Devin , Razavi‐Shearer, Kathryn , Redae, Berhane, Wit, Tobias Rinke de, Robbins, S., Roberts, Lewis R. , Sanad, S. J., Sharma, Manik , Simonova, Marieta, Su, Tung‐Hung , Sultan, K., Tan, S. S. , Tchernev, К., Tsang, O. T. Y., Tsang, Simon H. Y., Tzeuton, Christian, Ugoeze, S., Vi, R., Vince, Adriana , Wani, Hamid, Workneh, A., Yacoub, R., Yesmembetov, Kakharman, Youbi, M., Schmelzer, Jonathan, Hui, Yee Tak , Wong, Grace Lai‐Hung , Blach, S , Roberts, Lewis R , Akın, Onur , Chien, Rong‐Nan , Chuang, Wan‐Long , Estes, Chris , Fung, James , Lee, M.-H., Lo, Acy , Ondoa, Pascale , Wit, Tobias F. Rinke de , Robbins, S., Uzochukwu, Benjamin S C. , Wong, Vincent Wai‐Sun , Yuen, Man‐Fung , Lai-Hung Wong, Grace

Journal of Viral Hepatitis | November 4, 2017 | Volume: 24 | Issue: S2 | Pages: 44-63

10.1111/jvh.12759 | PMID 29105286 Get It

SummaryThe hepatitis C virus (HCV) epidemic was forecasted through 2030 for 17 countries in Africa, Asia, Europe, Latin America and the Middle East, and interventions for achieving the Global Health Sector Strategy on viral hepatitis targets—“WHO Targets” (65% reduction in HCV‐related deaths, 90% reduction in new infections and 90% of infections diagnosed by 2030) were considered. Scaling up treatment and diagnosis rates over time would be required to achieve these targets in all but one country, even with the introduction of high SVR therapies. The scenarios developed to achieve the WHO Targets in all countries studied assumed the implementation of national policies to prevent new infections and to diagnose current infections through screening.
Cholangiocyte autophagy contributes to hepatic cystogenesis in polycystic liver disease and represents a potential therapeutic target
Masyuk, Anatoliy I. , Pisarello, María J. Lorenzo , Ding, Jingyi , Loarca, Lorena, Huang, Bing , Masyuk, Tatyana V. , Lorenzo Pisarello, Maria J, Ding, Jingyi Francess, Huang, Bing Q, LaRusso, Nicholas F.

Hepatology | October 10, 2017 | Volume: 67 | Issue: 3 | Pages: 1088-1108

10.1002/hep.29577 | PMID 29023824 Get It

Polycystic liver disease (PLD) is a group of genetic disorders with limited treatment options and significant morbidity. Hepatic cysts arise from cholangiocytes exhibiting a hyperproliferative phenotype. Considering that hyperproliferation of many cell types is associated with alterations in autophagy, we hypothesized that autophagy is altered in PLD cholangiocytes, contributes to hepatic cystogenesis, and might represent a potential therapeutic target. We employed functional pathway cluster analysis and next‐generation sequencing, transmission electron microscopy, immunofluorescence confocal microscopy, and western blotting to assess autophagy in human and rodent PLD cholangiocytes. A three‐dimensional culture model was used to study the effects of molecular and pharmacologic inhibition of autophagy on hepatic cystogenesis in vitro , and the polycystic kidney disease–specific rat, an animal model of PLD, to study the effects of hydroxychloroquine, a drug that interferes with the autophagy pathway, on disease progression in vivo . Assessment of the transcriptome of PLD cholangiocytes followed by functional pathway cluster analysis revealed that the autophagy–lysosomal pathway is one of the most altered pathways in PLD. Direct evaluation of autophagy in PLD cholangiocytes both in vitro and in vivo showed increased number and size of autophagosomes, lysosomes, and autolysosomes; overexpression of autophagy‐related proteins (Atg5, Beclin1, Atg7, and LC3); and enhanced autophagic flux associated with activation of the cAMP–protein kinase A–cAMP response element–binding protein signaling pathway. Molecular and pharmacologic intervention in autophagy with ATG7 small interfering RNA, bafilomycin A 1 , and hydroxychloroquine reduced proliferation of PLD cholangiocytes in vitro and growth of hepatic cysts in three‐dimensional cultures. Hydroxychloroquine also efficiently inhibited hepatic cystogenesis in the polycystic kidney disease–specific rat. Conclusion: Autophagy is increased in PLD cholangiocytes, contributes to hepatic cystogenesis, and represents a potential therapeutic target for disease treatment. (H epatology 2018;67:1088–1108)
Robust intensity‐modulated proton therapy to reduce high linear energy transfer in organs at risk
An, Yu , Shan, Jie , Patel, Samir H. , Wong, William W. , Ding, Xiaoning, Bues, Martin , Wong, William, Schild, Steven E. , Bues, Martin , Liu, Wei

Medical Physics | October 4, 2017 | Volume: 44 | Issue: 12 | Pages: 6138-6147

10.1002/mp.12610 | PMID 28976574 Get It

Purpose We propose a robust treatment planning model that simultaneously considers proton range and patient setup uncertainties and reduces high linear energy transfer (LET) exposure in organs at risk (OARs) to minimize the relative biological effectiveness (RBE) dose in OARs for intensity‐modulated proton therapy (IMPT). Our method could potentially reduce the unwanted damage to OARs. Methods We retrospectively generated plans for 10 patients including two prostate, four head and neck, and four lung cancer patients. The “worst‐case robust optimization” model was applied. One additional term as a “biological surrogate (BS)” of OARs due to the high LET‐related biological effects was added in the objective function. The biological surrogate was defined as the sum of the physical dose and extra biological effects caused by the dose‐averaged LET. We generated nine uncertainty scenarios that considered proton range and patient setup uncertainty. Corresponding to each uncertainty scenario, LET was obtained by a fast LET calculation method developed in‐house and based on Monte Carlo simulations. In each optimization iteration, the model used the worst‐case BS among all scenarios and then penalized overly high BS to organs. The model was solved by an efficient algorithm (limited‐memory Broyden–Fletcher–Goldfarb–Shanno) in a parallel computing environment. Our new model was benchmarked with the conventional robust planning model without considering BS. Dose–volume histograms (DVHs) of the dose assuming a fixed RBE of 1.1 and BS for tumor and organs under nominal and uncertainty scenarios were compared to assess the plan quality between the two methods. Results For the 10 cases, our model outperformed the conventional robust model in avoidance of high LET in OARs. At the same time, our method could achieve dose distributions and plan robustness of tumors assuming a fixed RBE of 1.1 almost the same as those of the conventional robust model. Conclusions Explicitly considering LET in IMPT robust treatment planning can reduce the high LET to OARs and minimize the possible toxicity of high RBE dose to OARs without sacrificing plan quality. We believe this will allow one to design and deliver safer proton therapy.
Liver dysfunction in chronic lymphocytic leukemia: Prevalence, outcomes, and pathological findings
Hampel, Paul J. , Chaffee, Kari G. , King, Rebecca L. , Simonetto, Douglas A. , Achenbach, Sara J., Call, Timothy G. , Ding, Wei , Leis, José F., Chanan‐Khan, Asher , Bowen, Deborah A., Conte, Michael, Schwager, Susan M., Hanson, Curtis A. , Parikh, Sameer A. , Rabe, Kari G. , SIMONETTO, DOUGLAS, Achenbach, Sara, Ding, Wei , Kenderian, Saad S. , Chanan-Khan, Asher A., Conte, Michael J, Parikh, Sameer A , Hampel, Paul J , Larson, Melissa C. , Slager, Susan L. , Kay, Neil E. , Shanafelt, Tait D. , Simonetto, Douglas A

American Journal of Hematology | September 22, 2017 | Volume: 92 | Issue: 12 | Pages: 1362-1369

10.1002/ajh.24915 | PMID 28940587 Get It

AbstractThe prevalence of liver dysfunction and its association with outcomes in patients with previously untreated chronic lymphocytic leukemia (CLL) is unknown. Newly diagnosed (<12 months) previously untreated CLL patients seen at Mayo Clinic, Rochester, MN between 9/1993 and 4/2016 who had baseline assessment of at least one liver function test (LFT) were included in this analysis. The prevalence of liver dysfunction at baseline, proportion of patients who acquired LFT abnormalities, time to first therapy (TTFT) and overall survival (OS) were assessed. An abnormal LFT was present in 82/2336 (3.5%) patients at diagnosis and was associated with advanced Rai stage (Rai III–IV) (21% vs. 6%; P < .001), lower hemoglobin (13.1 g/dL vs. 13.9 g/dL; P < .001), and lower platelet count (187 × 109/L vs. 200 × 109/L; P = .03). Additionally, 236 patients with normal LFTs at diagnosis developed acquired liver dysfunction during follow‐up. Patients with abnormal LFTs at diagnosis had a shorter OS compared to those with normal LFTs (HR 1.80 95% CI 1.13‐2.87; P = .014, adjusted for age, sex, Rai stage, and treatment), although TTFT was not different. Of 52 patients who underwent a liver biopsy, CLL was present in liver tissue in 39/52 (73%) patients, with the portal tracts the most common region involved. Histopathology findings of liver involvement by CLL had limited correlation with choice of CLL therapy. In conclusion, approximately 1 of 25 newly diagnosed CLL patients has abnormal LFTs at diagnosis. Although the TTFT was not different among patients with abnormal LFTs, these patients have a shorter OS compared to those with normal LFTs.
Use of a radial projection to reduce the statistical uncertainty of spot lateral profiles generated by Monte Carlo simulation
Ding, Xiaoning, Shen, Jiajian , Stoker, Joshua B., Hu, Yanle , Bues, Martin , Anand, Aman, Shen, Jiajian , Bues, Martin , Liu, Wei , Anand, Aman Raj

Journal of Applied Clinical Medical Physics | September 18, 2017 | Volume: 18 | Issue: 6 | Pages: 88-96

10.1002/acm2.12184 | PMID 28921881 Get It

AbstractMonte Carlo (MC) simulation has been used to generate commissioning data for the beam modeling of treatment planning system (TPS). We have developed a method called radial projection (RP) for postprocessing of MC‐simulation‐generated data. We used the RP method to reduce the statistical uncertainty of the lateral profile of proton pencil beams with axial symmetry. The RP method takes advantage of the axial symmetry of dose distribution to use the mean value of multiple independent scores as the representative score. Using the mean as the representative value rather than any individual score results in substantial reduction in statistical uncertainty. Herein, we present the concept and step‐by‐step implementation of the RP method, as well as show the advantage of the RP method over conventional measurement methods for generating lateral profile. Lateral profiles generated by both methods were compared to demonstrate the uncertainty reduction qualitatively, and standard error comparison was performed to demonstrate the reduction quantitatively. The comparisons showed that statistical uncertainty was reduced substantially by the RP method. Using the RP method to postprocess MC data, the corresponding MC simulation time was reduced by a factor of 10 without quality reduction in the generated result from the MC data. We concluded that the RP method is an effective technique to increase MC simulation efficiency for generating lateral profiles for axially symmetric pencil beams.
Increased X-ray Visualization of Shape Memory Polymer Foams by Chemical Incorporation of Iodine Motifs
Nash, Landon D., Monroe, Mary, Ding, Yong-Hong, Ezell, Kendal P., Boyle, Anthony, Kadirvel, Ramanathan , Kallmes, David F. , Maitland, Duncan J. , Ding, Yonghong

Polymers | August 21, 2017 | Volume: 9 | Issue: 8 | Pages: 381

10.3390/polym9080381 | PMID 30034862 Get It

Shape memory polymers can be programmed into a secondary geometry and recovered to their primary geometry with the application of a controlled stimulus. Porous shape memory polymer foam scaffolds that respond to body temperature show particular promise for embolic medical applications. A limitation for the minimally invasive delivery of these materials is an inherent lack of X-ray contrast. In this work, a triiodobenzene containing a monomer was incorporated into a shape memory polymer foam material system to chemically impart X-ray visibility and increase material toughness. Composition and process changes enabled further control over material density and thermomechanical properties. The proposed material system demonstrates a wide range of tailorable functional properties for the design of embolic medical devices, including X-ray visibility, expansion rate, and porosity. Enhanced visualization of these materials can improve the acute performance of medical devices used to treat vascular malformations, and the material porosity provides a healing scaffold for durable occlusion.