Search

Your search keyword '"Clark-Swanson, Kamala"' showing total 40 results
Start Over Author "Clark-Swanson, Kamala"
40 results on '"Clark-Swanson, Kamala"'

1. Integrated molecular and multiparametric MRI mapping of high-grade glioma identifies regional biologic signatures

Author

Hu, Leland S., D’Angelo, Fulvio, Weiskittel, Taylor M., Caruso, Francesca P., Fortin Ensign, Shannon P., Blomquist, Mylan R., Flick, Matthew J., Wang, Lujia, Sereduk, Christopher P., Meng-Lin, Kevin, De Leon, Gustavo, Nespodzany, Ashley, Urcuyo, Javier C., Gonzales, Ashlyn C, Curtin, Lee, Lewis, Erika M., Singleton, Kyle W., Dondlinger, Timothy, Anil, Aliya, Semmineh, Natenael B., Noviello, Teresa, Patel, Reyna A., Wang, Panwen, Wang, Junwen, Eschbacher, Jennifer M., Hawkins-Daarud, Andrea, Jackson, Pamela R., Grunfeld, Itamar S., Elrod, Christian, Mazza, Gina L., McGee, Sam C., Paulson, Lisa, Clark-Swanson, Kamala, Lassiter-Morris, Yvette, Smith, Kris A., Nakaji, Peter, Bendok, Bernard R., Zimmerman, Richard S., Krishna, Chandan, Patra, Devi P., Patel, Naresh P., Lyons, Mark, Neal, Matthew, Donev, Kliment, Mrugala, Maciej M., Porter, Alyx B., Beeman, Scott C., Jensen, Todd R., Schmainda, Kathleen M., Zhou, Yuxiang, Baxter, Leslie C., Plaisier, Christopher L., Li, Jing, Li, Hu, Lasorella, Anna, Quarles, C. Chad, Swanson, Kristin R., Ceccarelli, Michele, Iavarone, Antonio, and Tran, Nhan L.

Published
2023
Full Text
View/download PDF

2. Distinct Phenotypic Clusters of Glioblastoma Growth and Response Kinetics Predict Survival.

Author

Rayfield, Corbin, Grady, Fillan, De Leon, Gustavo, Rockne, Russell, Carrasco, Eduardo, Jackson, Pamela, Vora, Mayur, Johnston, Sandra, Hawkins-Daarud, Andrea, Clark-Swanson, Kamala, Whitmire, Scott, Gamez, Mauricio, Porter, Alyx, Hu, Leland, Gonzalez-Cuyar, Luis, Bendok, Bernard, Vora, Sujay, and Swanson, Kristin

Subjects
Adult, Aged, Brain, Brain Neoplasms, Chemotherapy, Adjuvant, Cluster Analysis, Female, Glioblastoma, Humans, Kinetics, Machine Learning, Male, Middle Aged, Phenotype, Prospective Studies, Radiotherapy, Adjuvant, Survival Analysis, Treatment Outcome, Young Adult
Abstract

PURPOSE: Despite the intra- and intertumoral heterogeneity seen in glioblastoma multiforme (GBM), there is little definitive data on the underlying cause of the differences in patient survivals. Serial imaging assessment of tumor growth allows quantification of tumor growth kinetics (TGK) measured in terms of changes in the velocity of radial expansion seen on imaging. Because a systematic study of this entire TGK phenotype-growth before treatment and during each treatment to recurrence -has never been coordinately studied in GBMs, we sought to identify whether patients cluster into discrete groups on the basis of their TGK. PATIENTS AND METHODS: From our multi-institutional database, we identified 48 patients who underwent maximally safe resection followed by radiotherapy with imaging follow-up through the time of recurrence. The patients were then clustered into two groups through a k-means algorithm taking as input only the TGK before and during treatment. RESULTS: There was a significant survival difference between the clusters ( P = .003). Paradoxically, patients among the long-lived cluster had significantly larger tumors at diagnosis ( P = .027) and faster growth before treatment ( P = .003) but demonstrated a better response to adjuvant chemotherapy ( P = .048). A predictive model was built to identify which cluster patients would likely fall into on the basis of information that would be available to clinicians immediately after radiotherapy (accuracy, 90.3%). CONCLUSION: Dichotomizing the heterogeneity of GBMs into two populations-one faster growing yet more responsive with increased survival and one slower growing yet less responsive with shorter survival-suggests that many patients who receive standard-of-care treatments may get better benefit from select alternative treatments.

Published
2018

4. Uncertainty quantification in the radiogenomics modeling of EGFR amplification in glioblastoma

Author

Hu, Leland S., Wang, Lujia, Hawkins-Daarud, Andrea, Eschbacher, Jennifer M., Singleton, Kyle W., Jackson, Pamela R., Clark-Swanson, Kamala, Sereduk, Christopher P., Peng, Sen, Wang, Panwen, Wang, Junwen, Baxter, Leslie C., Smith, Kris A., Mazza, Gina L., Stokes, Ashley M., Bendok, Bernard R., Zimmerman, Richard S., Krishna, Chandan, Porter, Alyx B., Mrugala, Maciej M., Hoxworth, Joseph M., Wu, Teresa, Tran, Nhan L., Swanson, Kristin R., and Li, Jing

Published
2021
Full Text
View/download PDF

7. Sex-specific impact of patterns of imageable tumor growth on survival of primary glioblastoma patients

Author

Whitmire, Paula, Rickertsen, Cassandra R., Hawkins-Daarud, Andrea, Carrasco, Jr, Eduardo, Lorence, Julia, De Leon, Gustavo, Curtin, Lee, Bayless, Spencer, Clark-Swanson, Kamala, Peeri, Noah C., Corpuz, Christina, Lewis-de los Angeles, Christine Paula, Bendok, Bernard R., Gonzalez-Cuyar, Luis, Vora, Sujay, Mrugala, Maciej M., Hu, Leland S., Wang, Lei, Porter, Alyx, Kumthekar, Priya, Johnston, Sandra K., Egan, Kathleen M., Gatenby, Robert, Canoll, Peter, Rubin, Joshua B., and Swanson, Kristin R.

Published
2020
Full Text
View/download PDF

8. Image-localized biopsy mapping of brain tumor heterogeneity: A single-center study protocol.

Author

Urcuyo, Javier C, Curtin, Lee, Langworthy, Jazlynn M., De Leon, Gustavo, Anderies, Barrett, Singleton, Kyle W., Hawkins-Daarud, Andrea, Jackson, Pamela R., Bond, Kamila M., Ranjbar, Sara, Lassiter-Morris, Yvette, Clark-Swanson, Kamala R., Paulson, Lisa E., Sereduk, Chris, Mrugala, Maciej M., Porter, Alyx B., Baxter, Leslie, Salomao, Marcela, Donev, Kliment, and Hudson, Miles

Subjects
BRAIN tumors, BRAIN mapping, DIFFUSION tensor imaging, DIFFUSION magnetic resonance imaging, MAGNETIC resonance imaging, PORTAL vein
Abstract

Brain cancers pose a novel set of difficulties due to the limited accessibility of human brain tumor tissue. For this reason, clinical decision-making relies heavily on MR imaging interpretation, yet the mapping between MRI features and underlying biology remains ambiguous. Standard (clinical) tissue sampling fails to capture the full heterogeneity of the disease. Biopsies are required to obtain a pathological diagnosis and are predominantly taken from the tumor core, which often has different traits to the surrounding invasive tumor that typically leads to recurrent disease. One approach to solving this issue is to characterize the spatial heterogeneity of molecular, genetic, and cellular features of glioma through the intraoperative collection of multiple image-localized biopsy samples paired with multi-parametric MRIs. We have adopted this approach and are currently actively enrolling patients for our 'Image-Based Mapping of Brain Tumors' study. Patients are eligible for this research study (IRB #16–002424) if they are 18 years or older and undergoing surgical intervention for a brain lesion. Once identified, candidate patients receive dynamic susceptibility contrast (DSC) perfusion MRI and diffusion tensor imaging (DTI), in addition to standard sequences (T1, T1Gd, T2, T2-FLAIR) at their presurgical scan. During surgery, sample anatomical locations are tracked using neuronavigation. The collected specimens from this research study are used to capture the intra-tumoral heterogeneity across brain tumors including quantification of genetic aberrations through whole-exome and RNA sequencing as well as other tissue analysis techniques. To date, these data (made available through a public portal) have been used to generate, test, and validate predictive regional maps of the spatial distribution of tumor cell density and/or treatment-related key genetic marker status to identify biopsy and/or treatment targets based on insight from the entire tumor makeup. This type of methodology, when delivered within clinically feasible time frames, has the potential to further inform medical decision-making by improving surgical intervention, radiation, and targeted drug therapy for patients with glioma. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

9. Image-localized Biopsy Mapping of Brain Tumor Heterogeneity: A Single-Center Study Protocol

Author

Urcuyo, Javier C., primary, Curtin, Lee, additional, Langworthy, Jazlynn M., additional, De Leon, Gustavo, additional, Anderies, Barrett, additional, Singleton, Kyle W., additional, Hawkins-Daarud, Andrea, additional, Jackson, Pamela R., additional, Bond, Kamila M., additional, Ranjbar, Sara, additional, Lassiter-Morris, Yvette, additional, Clark-Swanson, Kamala R., additional, Paulson, Lisa E., additional, Sereduk, Chris, additional, Mrugala, Maciej M., additional, Porter, Alyx B., additional, Baxter, Leslie, additional, Salomao, Marcela, additional, Donev, Kliment, additional, Hudson, Miles, additional, Meyer, Jenna, additional, Zeeshan, Qazi, additional, Sattur, Mithun, additional, Patra, Devi P., additional, Jones, Breck A., additional, Rahme, Rudy J., additional, Neal, Matthew T., additional, Patel, Naresh, additional, Kouloumberis, Pelagia, additional, Turkmani, Ali H., additional, Lyons, Mark, additional, Krishna, Chandan, additional, Zimmerman, Richard S., additional, Bendok, Bernard R., additional, Tran, Nhan L., additional, Hu, Leland S., additional, and Swanson, Kristin R., additional

Published
2022
Full Text
View/download PDF

10. NIMG-59. RADIOMICS-PREDICTED T CELL DYNAMICS STRATIFY SURVIVAL AFTER DENDRITIC CELL VACCINE THERAPY FOR PRIMARY GLIOBLASTOMA

Author

Bond, Kamila, primary, Hawkins-Daarud, Andrea, additional, De Leon, Gustavo, additional, Curtin, Lee, additional, Urcuyo, Javier, additional, Singleton, Kyle, additional, Clark-Swanson, Kamala, additional, Sereduk, Christopher, additional, Tran, Nhan, additional, Hu, Leland, additional, Parney, Ian, additional, and Swanson, Kristin, additional

Published
2021
Full Text
View/download PDF

11. Additional file 1 of Sex-specific impact of patterns of imageable tumor growth on survival of primary glioblastoma patients

Author

Whitmire, Paula, Rickertsen, Cassandra R., Hawkins-Daarud, Andrea, Carrasco, Eduardo, Lorence, Julia, Leon, Gustavo De, Curtin, Lee, Bayless, Spencer, Clark-Swanson, Kamala, Peeri, Noah C., Corpuz, Christina, Angeles, Christine Paula Lewis-De Los, Bendok, Bernard R., Gonzalez-Cuyar, Luis, Sujay Vora, Mrugala, Maciej M., Hu, Leland S., Wang, Lei, Alyx Porter, Kumthekar, Priya, Johnston, Sandra K., Egan, Kathleen M., Gatenby, Robert, Canoll, Peter, Rubin, Joshua B., and Swanson, Kristin R.

Subjects
Data_FILES
Abstract

Additional file 1.

Published
2020
Full Text
View/download PDF

12. Sex Differences in MRI-Based Metrics of Glioma Invasion and Brain Mechanics

Author

Anderies, Barrett J., primary, Yee, Sara F., additional, Jackson, Pamela R., additional, Rickertsen, Cassandra R., additional, Hawkins-Daarud, Andrea J., additional, Johnston, Sandra K., additional, Clark-Swanson, Kamala R., additional, Hoxworth, Joseph M., additional, Le, Yuan, additional, Zhou, Yuxiang, additional, Pepin, Kay M., additional, Massey, Susan C., additional, Hu, Leland S., additional, Huston, John R., additional, and Swanson, Kristin R., additional

Published
2020
Full Text
View/download PDF

13. Deep neural network to locate and segment brain tumors outperformed the expert technicians who created the training data

Author

Mitchell, Joseph Ross, primary, Kamnitsas, Konstantinos, additional, Singleton, Kyle W., additional, Whitmire, Scott A., additional, Clark-Swanson, Kamala R., additional, Ranjbar, Sara, additional, Rickertsen, Cassandra R., additional, Johnston, Sandra K., additional, Egan, Kathleen M., additional, Rollison, Dana E., additional, Arrington, John, additional, Krecke, Karl N., additional, Passe, Theodore J., additional, Verdoorn, Jared T., additional, Nagelschneider, Alex A., additional, Carr, Carrie M., additional, Port, John D., additional, Patton, Alice, additional, Campeau, Norbert G., additional, Liebo, Greta B., additional, Eckel, Laurence J., additional, Wood, Christopher P., additional, Hunt, Christopher H., additional, Vibhute, Prasanna, additional, Nelson, Kent D., additional, Hoxworth, Joseph M., additional, Patel, Ameet C., additional, Chong, Brian W., additional, Ross, Jeffrey S., additional, Boxerman, Jerrold L., additional, Vogelbaum, Michael A., additional, Hu, Leland S., additional, Glocker, Ben, additional, and Swanson, Kristin R., additional

Published
2020
Full Text
View/download PDF

14. Uncertainty Quantification in Radiogenomics: EGFR Amplification in Glioblastoma

Author

Hu, Leland S., primary, Wang, Lujia, additional, Hawkins-Daarud, Andrea, additional, Eschbacher, Jennifer M., additional, Singleton, Kyle W., additional, Jackson, Pamela R., additional, Clark-Swanson, Kamala, additional, Sereduk, Christopher P., additional, Peng, Sen, additional, Wang, Panwen, additional, Wang, Junwen, additional, Baxter, Leslie C., additional, Smith, Kris A., additional, Mazza, Gina L., additional, Stokes, Ashley M., additional, Bendok, Bernard R., additional, Zimmerman, Richard S., additional, Krishna, Chandan, additional, Porter, Alyx B., additional, Mrugala, Maciej M., additional, Hoxworth, Joseph M., additional, Wu, Teresa, additional, Tran, Nhan L., additional, Swanson, Kristin R., additional, and Li, Jing, additional

Published
2020
Full Text
View/download PDF

15. Sex-specific impact of patterns of imageable tumor growth on survival of primary glioblastoma patients

Author

Whitmire, Paula, primary, Rickertsen, Cassandra R, additional, Hawkins-Daarud, Andrea, additional, Carrasco, Eduardo, additional, Lorence, Julia, additional, De Leon, Gustavo, additional, Curtin, Lee, additional, Bayless, Spencer, additional, Clark-Swanson, Kamala, additional, Peeri, Noah, additional, Corpuz, Christina, additional, Angeles, Christine Paula Lewis-de los, additional, Bendok, Bernard, additional, Gonzalez-Cuyar, Luis, additional, Vora, Sujay, additional, Mrugala, Maciej M, additional, Hu, Leland, additional, Wang, Lei, additional, Porter, Alyx, additional, Kumthekar, Priya, additional, Johnston, Sandra, additional, Egan, Kathleen, additional, Gatenby, Robert, additional, Canoll, Peter, additional, Rubin, Joshua, additional, and Swanson, Kristin, additional

Published
2020
Full Text
View/download PDF

16. Days gained response discriminates treatment response in patients with recurrent glioblastoma receiving bevacizumab-based therapies

Author

Singleton, Kyle W, primary, Porter, Alyx B, additional, Hu, Leland S, additional, Johnston, Sandra K, additional, Bond, Kamila M, additional, Rickertsen, Cassandra R, additional, De Leon, Gustavo, additional, Whitmire, Scott A, additional, Clark-Swanson, Kamala R, additional, Mrugala, Maciej M, additional, and Swanson, Kristin R, additional

Published
2020
Full Text
View/download PDF

17. Sex-specific impact of patterns of imageable tumor growth on survival of primary glioblastoma patients

Author

Whitmire, Paula, primary, Rickertsen, Cassandra R, additional, Hawkins-Daarud, Andrea, additional, Carrasco, Eduardo, additional, Lorence, Julia, additional, De Leon, Gustavo, additional, Curtin, Lee, additional, Bayless, Spencer, additional, Clark-Swanson, Kamala, additional, Peeri, Noah, additional, Corpuz, Christina, additional, Angeles, Christine Paula Lewis-de los, additional, Bendok, Bernard, additional, Gonzalez-Cuyar, Luis, additional, Vora, Sujay, additional, Mrugala, Maciej M, additional, Hu, Leland, additional, Wang, Lei, additional, Porter, Alyx, additional, Kumthekar, Priya, additional, Johnston, Sandra, additional, Egan, Kathleen, additional, Gatenby, Robert, additional, Canoll, Peter, additional, Rubin, Joshua, additional, and Swanson, Kristin, additional

Published
2019
Full Text
View/download PDF

18. NIMG-26. EVALUATING THE DAYS GAINED RESPONSE METRIC IN CLINICAL TRIALS USING BEVACIZUMAB PLUS ADDITIONAL AGENTS FOR RECURRENT GLIOBLASTOMA

Author

Singleton, Kyle, primary, Johnston, Sandra, additional, Rickertsen, Cassandra, additional, Keith Anderson, S, additional, De Leon, Gustavo, additional, Whitmire, Scott, additional, Clark-Swanson, Kamala, additional, Bendok, Bernard, additional, Mrugala, Maciej, additional, Porter, Alyx, additional, Galanis, Evanthia, additional, and Swanson, Kristin, additional

Published
2019
Full Text
View/download PDF

19. NIMG-30. REPRODUCIBLE RADIOMIC MAPPING OF TUMOR CELL DENSITY BY MACHINE LEARNING AND DOMAIN ADAPTATION

Author

Wang, Lujia, primary, Yoon, Hyunsoo, additional, Hawkins-Daarud, Andrea, additional, Singleton, Kyle, additional, Clark-Swanson, Kamala, additional, Bendok, Bernard, additional, Mrugala, Maciej, additional, Eschbacher, Jenny, additional, Smith, Kris, additional, Nakaji, Peter, additional, Gonzalez, Ashlyn, additional, Nespodzany, Ashley, additional, Baxter, Leslie, additional, Wu, Teresa, additional, Swanson, Kristin, additional, Hu, Leland, additional, and Li, Jing, additional

Published
2019
Full Text
View/download PDF

20. TMOD-14. RADIOGRAPHIC, STIMULATED RAMAN HISTOLOGIC, AND MULTIPLEXED RNA-SEQUENCING ANALYSIS OF POST-TREATMENT RECURRENT HIGH-GRADE GLIOMAS

Author

Save, Akshay, primary, Hollon, Todd, additional, Farooq, Zia, additional, Boyett, Deborah, additional, Hawkins-Daarud, Andrea, additional, Yoon, Hyunsoo, additional, Singleton, Kyle, additional, Clark-Swanson, Kamala, additional, Li, Jing, additional, Swanson, Kristin, additional, Freudiger, Christian, additional, Orringer, Daniel, additional, Lassman, Andrew, additional, Sims, Peter, additional, Grinband, Jack, additional, Canoll, Peter, additional, and Bruce, Jeffrey, additional

Published
2019
Full Text
View/download PDF

21. NIMG-61. USING MACHINE LEARNING TO BUILD RADIOMICS MODELS THAT DISTINGUISH REGIONS OF GLIOBLASTOMA RECURRENCE VS TUMOR PROGRESSION ON MRI

Author

Yoon, Hyunsoo, primary, Hawkins-Daarud, Andrea, additional, Save, Akshay, additional, Singleton, Kyle, additional, Clark-Swanson, Kamala, additional, Wang, Lujia, additional, Bendok, Bernard, additional, Mrugala, Maciej, additional, Wu, Teresa, additional, Bruce, Jeffrey, additional, Hu, Leland, additional, Li, Jing, additional, Canoll, Peter D, additional, and Swanson, Kristin, additional

Published
2019
Full Text
View/download PDF

22. NIMG-52. UNCERTAINTY QUANTIFICATION IN RADIOMICS

Author

Wang, Lujia, primary, Yoon, Hyunsoo, additional, Hawkins-Daarud, Andrea, additional, Singleton, Kyle, additional, Clark-Swanson, Kamala, additional, Smith, Kris, additional, Nakaji, Peter, additional, Eschbacher, Jenny, additional, Baxter, Leslie, additional, Gonzalez, Ashlyn, additional, Nespodzany, Ashley, additional, Bendok, Bernard, additional, Patra, Devi, additional, De Leon, Gustavo, additional, Zimmerman, Richard, additional, Porter, Alyx, additional, Krishna, Chandan, additional, Salomao, Marcela, additional, Hoxworth, Joseph, additional, Zhou, Yuxiang, additional, Mrugala, Maciej, additional, Tran, Nhan, additional, Wu, Teresa, additional, Swanson, Kristin, additional, Li, Jing, additional, and Hu, Leland, additional

Published
2019
Full Text
View/download PDF

24. Days Gained Response Discriminates Treatment Response in Patients with Recurrent Glioblastoma Receiving Bevacizumab-based Therapies

Author

Singleton, Kyle W., primary, Porter, Alyx B., additional, Hu, Leland S., additional, Johnston, Sandra K, additional, Bond, Kamila M., additional, Rickertsen, Cassandra R., additional, De Leon, Gustavo, additional, Whitmire, Scott A., additional, Clark-Swanson, Kamala R., additional, Mrugala, Maciej M., additional, and Swanson, Kristin R., additional

Published
2019
Full Text
View/download PDF

25. Multiparameter MRI Predictors of Long-Term Survival in Glioblastoma Multiforme

Author

Stringfield, Olya, primary, Arrington, John A., additional, Johnston, Sandra K., additional, Rognin, Nicolas G., additional, Peeri, Noah C., additional, Balagurunathan, Yoganand, additional, Jackson, Pamela R., additional, Clark-Swanson, Kamala R., additional, Swanson, Kristin R., additional, Egan, Kathleen M., additional, Gatenby, Robert A., additional, and Raghunand, Natarajan, additional

Published
2019
Full Text
View/download PDF

26. Distinct Phenotypic Clusters of Glioblastoma Growth and Response Kinetics Predict Survival

Author

Rayfield, Corbin A., primary, Grady, Fillan, additional, De Leon, Gustavo, additional, Rockne, Russell, additional, Carrasco, Eduardo, additional, Jackson, Pamela, additional, Vora, Mayur, additional, Johnston, Sandra K., additional, Hawkins-Daarud, Andrea, additional, Clark-Swanson, Kamala R., additional, Whitmire, Scott, additional, Gamez, Mauricio E., additional, Porter, Alyx, additional, Hu, Leland, additional, Gonzalez-Cuyar, Luis, additional, Bendok, Bernard, additional, Vora, Sujay, additional, and Swanson, Kristin R., additional

Published
2018
Full Text
View/download PDF

27. NIMG-06. KINETICS-BASED RESPONSE METRIC DISCRIMINATE IMPROVED OUTCOMES FOR PATIENTS RECEIVING BEVACIZUMAB-BASED THERAPIES

Author

Singleton, Kyle, primary, Kirby, Destiney, additional, Johnston, Sandra, additional, Rickertsen, Cassandra, additional, De Leon, Gustavo, additional, Whitmire, Scott, additional, Clark-Swanson, Kamala, additional, Morris, Yvette, additional, Bendok, Bernard, additional, Mrugala, Maciej, additional, Porter, Alyx, additional, and Swanson, Kristin, additional

Published
2018
Full Text
View/download PDF

30. NIMG-21. SEX DIFFERENCES IN EXTREME SURVIVORSHIP AMONG PRIMARY GLIOBLASTOMA PATIENTS

Author

Whitmire, Paula, primary, Rickertsen, Cassandra, additional, Hawkins-Daarud, Andrea, additional, Carrasco, Eduardo, additional, Lorence, Julia, additional, De Leon, Gustavo, additional, Curtin, Lee, additional, Bayless, Spencer, additional, Clark-Swanson, Kamala, additional, Peeri, Noah, additional, Corpuz, Christina, additional, Paula Lewis-de Los Angeles, Christine, additional, Bendok, Bernard, additional, Gonzalez-Cuyar, Luis, additional, Vora, Sujay, additional, Mrugala, Maciej, additional, Hu, Leland, additional, Wang, Lei, additional, Porter, Alyx, additional, Kumthekar, Priya, additional, Johnston, Sandra, additional, Egan, Kathleen, additional, Gatenby, Robert, additional, Canoll, Peter, additional, Rubin, Joshua, additional, and Swanson, Kristin, additional

Published
2018
Full Text
View/download PDF

31. Sex-specific impact of patterns of imageable tumor growth on survival of primary glioblastoma patients

Author

Whitmire, Paula, primary, Rickertsen, Cassandra R., additional, Hawkins-Daarud, Andrea, additional, Carrasco, Eduardo, additional, Lorence, Julia, additional, De Leon, Gustavo, additional, Curtin, Lee, additional, Bayless, Spencer, additional, Clark-Swanson, Kamala, additional, Peeri, Noah C., additional, Corpuz, Christina, additional, Lewis-de los Angeles, Christine Paula, additional, Bendok, Bernard R., additional, Gonzalez-Cuyar, Luis, additional, Vora, Sujay, additional, Mrugala, Maciej, additional, Hu, Leland S., additional, Wang, Lei, additional, Porter, Alyx, additional, Kumthekar, Priya, additional, Johnston, Sandra K., additional, Egan, Kathleen M., additional, Gatenby, Robert, additional, Canoll, Peter, additional, Rubin, Joshua B., additional, and Swanson, Kristin R., additional

Published
2018
Full Text
View/download PDF

32. NIMG-93. DISCRIMINATION OF CLINICALLY IMPACTFUL TREATMENT RESPONSE IN RECURRENT GLIOBLASTOMA PATIENTS RECEIVING BEVACIZUMAB TREATMENT

Author

Singleton, Kyle W, primary, Johnston, Sandra K, additional, Hawkins-Daarud, Andrea, additional, Rickertsen, Cassandra R, additional, De Leon, Gustavo, additional, Kunkel, Lauren, additional, Whitmire, Scott A, additional, Clark-Swanson, Kamala, additional, Bendok, Bernard, additional, Mrugala, Maciej, additional, Porter, Alyx, additional, and Swanson, Kristin R, additional

Published
2017
Full Text
View/download PDF

33. NIMG-74. RADIOMICS OF TUMOR INVASION 2.0: COMBINING MECHANISTIC TUMOR INVASION MODELS WITH MACHINE LEARNING MODELS TO ACCURATELY PREDICT TUMOR INVASION IN HUMAN GLIOBLASTOMA PATIENTS

Author

Swanson, Kristin R, primary, Gaw, Nathan, additional, Hawkins-Daarud, Andrea, additional, Jackson, Pamela R, additional, Singleton, Kyle W, additional, DeGirolamo, Lauren, additional, Eschbacher, Jennifer, additional, Baxter, Leslie, additional, Smith, Kris, additional, Nakaji, Peter, additional, McGee, Samuel, additional, Clark-Swanson, Kamala, additional, Bendok, Bernard, additional, Dueck, Amylou, additional, Wu, Teresa, additional, Li, Jing, additional, and Hu, Leland, additional

Published
2017
Full Text
View/download PDF

34. NIMG-99. P53 AMPLIFICATION MODIFIES THE GLIOBLASTOMA MICROENVIRONMENT: DIFFERENTIATING THE CONTRIBUTION OF CELLS VS EDEMA IN THE T2 WEIGHTED MRI SIGNAL

Author

Jackson, Pamela, primary, Gaw, Nathan, additional, Hawkins-Daarud, Andrea, additional, DeGirolamo, Lauren, additional, Baxter, Leslie, additional, Smith, Kris, additional, Nakaji, Peter, additional, McGee, Samuel, additional, Clark-Swanson, Kamala, additional, Bendok, Bernard, additional, Wu, Teresa, additional, Hu, Leland, additional, Li, Jing, additional, and Swanson, Kristin, additional

Published
2017
Full Text
View/download PDF

35. TMOD-38. EXTENT OF GLIOBLASTOMA INVASION PREDICTS OVERALL SURVIVAL FOLLOWING UPFRONT RADIOTHERAPY CONCURRENT WITH TEMOZOLOMIDE

Author

Massey, Susan Christine, primary, White, Haylye, additional, Rayfield, Corbin, additional, Rickertsen, Cassandra R, additional, Clark-Swanson, Kamala, additional, Whitmire, Scott, additional, Johnston, Sandra K, additional, Porter, Alyx, additional, Mrugala, Maciej, additional, Bendok, Bernard, additional, and Swanson, Kristin R, additional

Published
2017
Full Text
View/download PDF

36. Abstract A08: Histologic evidence for a bio-mathematical model of glioblastoma invasion

Author

Hawkins-Daarud, Andrea, primary, DeGirolamo, Lauren, additional, Jacobs, Joshua, additional, Clark-Swanson, Kamala, additional, Eschbacher, Jennifer M., additional, Smith, Kris A., additional, Nakaji, Peter, additional, Baxter, Leslie C., additional, Karis, John P., additional, Wu, Teresa, additional, Mitchell, J. Ross, additional, Li, Jing, additional, Hu, Leland, additional, and Swanson, Kristin R., additional

Published
2017
Full Text
View/download PDF

37. Patient-Specific Metrics of Invasiveness Reveal Significant Prognostic Benefit of Resection in a Predictable Subset of Gliomas

Author

Baldock, Anne L., primary, Ahn, Sunyoung, additional, Rockne, Russell, additional, Johnston, Sandra, additional, Neal, Maxwell, additional, Corwin, David, additional, Clark-Swanson, Kamala, additional, Sterin, Greg, additional, Trister, Andrew D., additional, Malone, Hani, additional, Ebiana, Victoria, additional, Sonabend, Adam M., additional, Mrugala, Maciej, additional, Rockhill, Jason K., additional, Silbergeld, Daniel L., additional, Lai, Albert, additional, Cloughesy, Timothy, additional, McKhann, Guy M., additional, Bruce, Jeffrey N., additional, Rostomily, Robert C., additional, Canoll, Peter, additional, and Swanson, Kristin R., additional

Published
2014
Full Text
View/download PDF

38. Patient-specific biomathematical model to predict benefit of resection in human gliomas.

Author

Baldock, Anne, primary, Rockne, Russell, additional, Ahn, Sunyoung, additional, Neal, Maxwell, additional, Corwin, David, additional, Clark-Swanson, Kamala, additional, Sterin, Greg, additional, Trister, Andrew Daniel, additional, Malone, Hani, additional, Sonabend, Adam, additional, Mrugala, Maciej M., additional, Rockhill, Jason K., additional, Silbergeld, Daniel L., additional, Lai, Albert, additional, Cloughesy, Timothy Francis, additional, McKhann, Guy, additional, Bruce, Jeffrey N., additional, Rostomily, Robert, additional, Canoll, Peter, additional, and Swanson, Kristin, additional

Published
2013
Full Text
View/download PDF

39. Patient-Specific Metrics of Invasiveness Reveal Significant Prognostic Benefit of Resection in a Predictable Subset of Gliomas

Author

Baldock, Anne L., Ahn, Sunyoung, Rockne, Russell, Johnston, Sandra, Neal, Maxwell, Corwin, David, Clark-Swanson, Kamala, Sterin, Greg, Trister, Andrew D., Malone, Hani, Ebiana, Victoria, Sonabend Worthalter, Adam Mendel, Mrugala, Maciej, Rockhill, Jason K., Silbergeld, Daniel L., Lai, Albert, Cloughesy, Timothy, McKhann II, Guy M., Bruce, Jeffrey N., Rostomily, Robert C., Canoll, Peter D., and Swanson, Kristin R.

Subjects
Oncology, Gliomas, Surgery, Glioblastoma multiforme, 3. Good health, Excision (Surgery)
Abstract

Object Malignant gliomas are incurable, primary brain neoplasms noted for their potential to extensively invade brain parenchyma. Current methods of clinical imaging do not elucidate the full extent of brain invasion, making it difficult to predict which, if any, patients are likely to benefit from gross total resection. Our goal was to apply a mathematical modeling approach to estimate the overall tumor invasiveness on a patient-by-patient basis and determine whether gross total resection would improve survival in patients with relatively less invasive gliomas. Methods In 243 patients presenting with contrast-enhancing gliomas, estimates of the relative invasiveness of each patient's tumor, in terms of the ratio of net proliferation rate of the glioma cells to their net dispersal rate, were derived by applying a patient-specific mathematical model to routine pretreatment MR imaging. The effect of varying degrees of extent of resection on overall survival was assessed for cohorts of patients grouped by tumor invasiveness. Results We demonstrate that patients with more diffuse tumors showed no survival benefit (P = 0.532) from gross total resection over subtotal/biopsy, while those with nodular (less diffuse) tumors showed a significant benefit (P = 0.00142) with a striking median survival benefit of over eight months compared to sub-totally resected tumors in the same cohort (an 80% improvement in survival time for GTR only seen for nodular tumors). Conclusions These results suggest that our patient-specific, model-based estimates of tumor invasiveness have clinical utility in surgical decision making. Quantification of relative invasiveness assessed from routinely obtained pre-operative imaging provides a practical predictor of the benefit of gross total resection.

40. Towards Longitudinal Glioma Segmentation: Evaluating combined pre- and post-treatment MRI training data for automated tumor segmentation using nnU-Net.

Author

Ranjbar S, Singleton KW, Curtin L, Paulson L, Clark-Swanson K, Hawkins-Daarud A, Mitchell JR, Jackson PR, and Swanson AKR

Abstract

Identification of key phenotypic regions such as necrosis, contrast enhancement, and edema on magnetic resonance imaging (MRI) is important for understanding disease evolution and treatment response in patients with glioma. Manual delineation is time intensive and not feasible for a clinical workflow. Automating phenotypic region segmentation overcomes many issues with manual segmentation, however, current glioma segmentation datasets focus on pre-treatment, diagnostic scans, where treatment effects and surgical cavities are not present. Thus, existing automatic segmentation models are not applicable to post-treatment imaging that is used for longitudinal evaluation of care. Here, we present a comparison of three-dimensional convolutional neural networks (nnU-Net architecture) trained on large temporally defined pre-treatment, post-treatment, and mixed cohorts. We used a total of 1563 imaging timepoints from 854 patients curated from 13 different institutions as well as diverse public data sets to understand the capabilities and limitations of automatic segmentation on glioma images with different phenotypic and treatment appearance. We assessed the performance of models using Dice coefficients on test cases from each group comparing predictions with manual segmentations generated by trained technicians. We demonstrate that training a combined model can be as effective as models trained on just one temporal group. The results highlight the importance of a diverse training set, that includes images from the course of disease and with effects from treatment, in the creation of a model that can accurately segment glioma MRIs at multiple treatment time points.

Published
2023
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results