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Diffusion tensor imaging of hamstring muscles after acute strain injury and throughout recovery in collegiate athletes

Wille, Christa M; Hurley, Samuel A; Schmida, Elizabeth; Lee, Kenneth; Kijowski, Richard; Heiderscheit, Bryan C
OBJECTIVE:To identify the region of interest (ROI) to represent injury and observe between-limb diffusion tensor imaging (DTI) microstructural differences in muscle following hamstring strain injury. MATERIALS AND METHODS/METHODS:Participants who sustained a hamstring strain injury prospectively underwent 3T-MRI of bilateral thighs using T1, T2, and diffusion-weighted imaging at time of injury (TOI), return to sport (RTS), and 12 weeks after RTS (12wks). ROIs were using the hyperintense region on a T2-weighted sequence: edema, focused edema, and primary muscle injured excluding edema (no edema). Linear mixed-effects models were used to compare diffusion parameters between ROIs and timepoints and limbs and timepoints. RESULTS:(p-values = 0.058-0.12), and compared to 12wks (p-values < 0.02). In the no edema ROI, differences in diffusivity measures were not observed (p-values > 0.82). At TOI, no edema ROI diffusivity measures were lower than the edema ROI (p-values < 0.001) but not at RTS or 12wks (p-values > 0.69). A significant limb-by-timepoint interaction was detected for all diffusivity measures with increased diffusion in the involved limb at TOI (p-values < 0.001) but not at RTS or 12wks (p-values > 0.42). Significant differences in fractional anisotropy over time or between limbs were not detected. CONCLUSION/CONCLUSIONS:Hyperintensity on T2-weighted imaging used to define the injured region holds promise in describing muscle microstructure following hamstring strain injury by demonstrating between-limb differences at TOI but not at follow-up timepoints.
PMID: 38267763
ISSN: 1432-2161
CID: 5625072

Association of quantitative diffusion tensor imaging measures with time to return to sport and reinjury incidence following acute hamstring strain injury

Wille, Christa M; Hurley, Samuel A; Joachim, Mikel R; Lee, Kenneth; Kijowski, Richard; Heiderscheit, Bryan C
Hamstring strain injuries (HSI) are a common occurrence in athletics and complicated by limited prognostic indicators and high rates of reinjury. Assessment of injury characteristics at the time of injury (TOI) may be used to manage athlete expectations for time to return to sport (RTS) and mitigate reinjury risk. Magnetic resonance imaging (MRI) is routinely used in soft tissue injury management, but its prognostic value for HSI is widely debated. Recent advancements in musculoskeletal MRI, such as diffusion tensor imaging (DTI), have allowed for quantitative measures of muscle microstructure assessment. The purpose of this study was to determine the association of TOI MRI-based measures, including the British Athletic Muscle Injury Classification (BAMIC) system, edema volume, and DTI metrics, with time to RTS and reinjury incidence. Negative binomial regressions and generalized estimating equations were used to determine relationships between imaging measures and time to RTS and reinjury, respectively. Twenty-six index injuries were observed, with five recorded reinjuries. A significant association was not detected between BAMIC score and edema volume at TOI with days to RTS (p-values ≥ 0.15) or reinjury (p-values ≥ 0.13). Similarly, a significant association between DTI metrics and days to RTS was not detected (p-values ≥ 0.11). Although diffusivity metrics are expected to increase following injury, decreased values were observed in those who reinjured (mean diffusivity, p = 0.016; radial diffusivity, p = 0.02; principal effective diffusivity eigenvalues, p-values = 0.007-0.057). Additional work to further understand the directional relationship observed between DTI metrics and reinjury status and the influence of external factors is warranted.
PMID: 38290304
ISSN: 1873-2380
CID: 5627532

Diffusion tensor imaging of hamstring muscles after acute strain injury and throughout recovery in collegiate athletes

Wille, Christa M.; Hurley, Samuel A.; Schmida, Elizabeth; Lee, Kenneth; Kijowski, Richard; Heiderscheit, Bryan C.
Objective: To identify the region of interest (ROI) to represent injury and observe between-limb diffusion tensor imaging (DTI) microstructural differences in muscle following hamstring strain injury. Materials and methods: Participants who sustained a hamstring strain injury prospectively underwent 3T-MRI of bilateral thighs using T1, T2, and diffusion-weighted imaging at time of injury (TOI), return to sport (RTS), and 12 weeks after RTS (12wks). ROIs were using the hyperintense region on a T2-weighted sequence: edema, focused edema, and primary muscle injured excluding edema (no edema). Linear mixed-effects models were used to compare diffusion parameters between ROIs and timepoints and limbs and timepoints. Results: Twenty-four participants (29 injuries) were included. A significant ROI-by-timepoint interaction was detected for all diffusivity measures. The edema and focused edema ROIs demonstrated increased diffusion at TOI compared to RTS for all diffusivity measures (p-values < 0.006), except λ 1 (p-values = 0.058"“0.12), and compared to 12wks (p-values < 0.02). In the no edema ROI, differences in diffusivity measures were not observed (p-values > 0.82). At TOI, no edema ROI diffusivity measures were lower than the edema ROI (p-values < 0.001) but not at RTS or 12wks (p-values > 0.69). A significant limb-by-timepoint interaction was detected for all diffusivity measures with increased diffusion in the involved limb at TOI (p-values < 0.001) but not at RTS or 12wks (p-values > 0.42). Significant differences in fractional anisotropy over time or between limbs were not detected. Conclusion: Hyperintensity on T2-weighted imaging used to define the injured region holds promise in describing muscle microstructure following hamstring strain injury by demonstrating between-limb differences at TOI but not at follow-up timepoints.
SCOPUS:85183037699
ISSN: 0364-2348
CID: 5629322

Tumor Size Differences Between Preoperative Endoscopic Ultrasound and Postoperative Pathology for Neoadjuvant-Treated Pancreatic Ductal Adenocarcinoma Predict Patient Outcome

Das, Rohit; McGrath, Kevin; Seiser, Natalie; Smith, Katelyn; Uttam, Shikhar; Brand, Randall E; Fasanella, Kenneth E; Khalid, Asif; Chennat, Jennifer S; Sarkaria, Savreet; Singh, Harkirat; Slivka, Adam; Zeh, Herbert J; Zureikat, Amer H; Hogg, Melissa E; Lee, Kenneth; Paniccia, Alessandro; Ongchin, Melanie C; Pingpank, James F; Boone, Brian A; Dasyam, Anil K; Bahary, Nathan; Gorantla, Vikram C; Rhee, John C; Thomas, Roby; Ellsworth, Susannah; Landau, Michael S; Ohori, N Paul; Henn, Patrick; Shyu, Susan; Theisen, Brian K; Singhi, Aatur D
BACKGROUND & AIMS/OBJECTIVE:The assessment of therapeutic response after neoadjuvant treatment and pancreatectomy for pancreatic ductal adenocarcinoma (PDAC) has been an ongoing challenge. Several limitations have been encountered when employing current grading systems for residual tumor. Considering endoscopic ultrasound (EUS) represents a sensitive imaging technique for PDAC, differences in tumor size between preoperative EUS and postoperative pathology after neoadjuvant therapy was hypothesized to represent an improved marker of treatment response. METHODS:For 340 treatment-naïve and 365 neoadjuvant-treated PDACs, EUS and pathologic findings were analyzed and correlated with patient overall survival (OS). A separate group of 200 neoadjuvant-treated PDACs served as a validation cohort for further analysis. RESULTS:edition T-stage (r = 0.586, p<0.001). In the setting of neoadjuvant therapy, a decrease in T-stage correlated with improved 3-year OS rates (50% vs. 31%, p<0.001). Through recursive partitioning, a cutoff of ≥47% tumor size reduction was also found to be associated with improved OS (67% vs. 32%, p<0.001). Improved OS using a ≥47% threshold was validated using a separate cohort of neoadjuvant-treated PDACs (72% vs. 36%, p<0.001). By multivariate analysis, a reduction in tumor size by ≥47% was an independent prognostic factor for improved OS (p=0.007). CONCLUSIONS:The difference in tumor size between preoperative EUS imaging and postoperative pathology among neoadjuvant-treated PDAC patients is an important prognostic indicator and may guide subsequent chemotherapeutic management.
PMID: 33278573
ISSN: 1542-7714
CID: 4708382

Expression-Based Cell Lineage Analysis in Drosophila Through a Course-Based Research Experience for Early Undergraduates

Olson, John M; Evans, Cory J; Ngo, Kathy T; Kim, Hee Jong; Nguyen, Joseph Duy; Gurley, Kayla G H; Ta, Truc; Patel, Vijay; Han, Lisa; Truong-N, Khoa T; Liang, Letty; Chu, Maggie K; Lam, Hiu; Ahn, Hannah G; Banerjee, Abhik Kumar; Choi, In Young; Kelley, Ross G; Moridzadeh, Naseem; Khan, Awais M; Khan, Omair; Lee, Szuyao; Johnson, Elizabeth B; Tigranyan, Annie; Wang, Jay; Gandhi, Anand D; Padhiar, Manish M; Calvopina, Joseph Hargan; Sumra, Kirandeep; Ou, Kristy; Wu, Jessie C; Dickan, Joseph N; Ahmadi, Sabrena M; Allen, Donald N; Mai, Van Thanh; Ansari, Saif; Yeh, George; Yoon, Earl; Gon, Kimberly; Yu, John Y; He, Johnny; Zaretsky, Jesse M; Lee, Noemi E; Kuoy, Edward; Patananan, Alexander N; Sitz, Daniel; Tran, PhuongThao; Do, Minh-Tu; Akhave, Samira J; Alvarez, Silverio D; Asem, Bobby; Asem, Neda; Azarian, Nicole A; Babaesfahani, Arezou; Bahrami, Ahmad; Bhamra, Manjeet; Bhargava, Ragini; Bhatia, Rakesh; Bhatia, Subir; Bumacod, Nicholas; Caine, Jonathan J; Caldwell, Thomas A; Calica, Nicole A; Calonico, Elise M; Chan, Carman; Chan, Helen H-L; Chang, Albert; Chang, Chiaen; Chang, Daniel; Chang, Jennifer S; Charania, Nauman; Chen, Jasmine Y; Chen, Kevin; Chen, Lu; Chen, Yuyu; Cheung, Derek J; Cheung, Jesse J; Chew, Jessica J; Chew, Nicole B; Chien, Cheng-An Tony; Chin, Alana M; Chin, Chee Jia; Cho, Youngho; Chou, Man Ting; Chow, Ke-Huan K; Chu, Carolyn; Chu, Derrick M; Chu, Virginia; Chuang, Katherine; Chugh, Arunit Singh; Cubberly, Mark R; Daniel, Michael Guillermo; Datta, Sangita; Dhaliwal, Raj; Dinh, Jenny; Dixit, Dhaval; Dowling, Emmylou; Feng, Melinda; From, Christopher M; Furukawa, Daisuke; Gaddipati, Himaja; Gevorgyan, Lilit; Ghaznavi, Zunera; Ghosh, Tulika; Gill, Jaskaran; Groves, David J; Gurara, Kalkidan K; Haghighi, Ali R; Havard, Alexandra L; Heyrani, Nasser; Hioe, Tanya; Hong, Kirim; Houman, Justin J; Howland, Molly; Hsia, Elaine L; Hsueh, Justin; Hu, Stacy; Huang, Andrew J; Huynh, Jasmine C; Huynh, Jenny; Iwuchukwu, Chris; Jang, Michael J; Jiang, An An; Kahlon, Simran; Kao, Pei-Yun; Kaur, Manpreet; Keehn, Matthew G; Kim, Elizabeth J; Kim, Hannah; Kim, Michelle J; Kim, Shawn J; Kitich, Aleksandar; Kornberg, Ross A; Kouzelos, Nicholas G; Kuon, Jane; Lau, Bryan; Lau, Roger K; Law, Rona; Le, Huy D; Le, Rachael; Lee, Carrou; Lee, Christina; Lee, Grace E; Lee, Kenny; Lee, Michelle J; Lee, Regina V; Lee, Sean H K; Lee, Sung Kyu; Lee, Sung-Ling D; Lee, Yong Jun; Leong, Megan J; Li, David M; Li, Hao; Liang, Xingfu; Lin, Eric; Lin, Michelle M; Lin, Peter; Lin, Tiffany; Lu, Stacey; Luong, Serena S; Ma, Jessica S; Ma, Li; Maghen, Justin N; Mallam, Sravya; Mann, Shivtaj; Melehani, Jason H; Miller, Ryan C; Mittal, Nitish; Moazez, Carmel M; Moon, Susie; Moridzadeh, Rameen; Ngo, Kaley; Nguyen, Hanh H; Nguyen, Kambria; Nguyen, Thien H; Nieh, Angela W; Niu, Isabella; Oh, Seo-Kyung; Ong, Jessica R; Oyama, Randi K; Park, Joseph; Park, Yaelim A; Passmore, Kimberly A; Patel, Ami; Patel, Amy A; Patel, Dhruv; Patel, Tirth; Peterson, Katherine E; Pham, An Huynh; Pham, Steven V; Phuphanich, Melissa E; Poria, Neil D; Pourzia, Alexandra; Ragland, Victoria; Ranat, Riki D; Rice, Cameron M; Roh, David; Rojhani, Solomon; Sadri, Lili; Saguros, Agafe; Saifee, Zainab; Sandhu, Manjot; Scruggs, Brooke; Scully, Lisa M; Shih, Vanessa; Shin, Brian A; Sholklapper, Tamir; Singh, Harnek; Singh, Sumedha; Snyder, Sondra L; Sobotka, Katelyn F; Song, Sae Ho; Sukumar, Siddharth; Sullivan, Halley C; Sy, Mark; Tan, Hande; Taylor, Sara K; Thaker, Shivani K; Thakore, Tulsi; Tong, Gregory E; Tran, Jacinda N; Tran, Jonathan; Tran, Tuan D; Tran, Vivi; Trang, Cindy L; Trinh, Hung G; Trinh, Peter; Tseng, Han-Ching H; Uotani, Ted T; Uraizee, Akram V; Vu, Kent K T; Vu, Kevin K T; Wadhwani, Komal; Walia, Paluk K; Wang, Rebecca S; Wang, Shuo; Wang, Stephanie J; Wiredja, Danica D; Wong, Andrew L; Wu, Daniel; Xue, Xi; Yanez, Griselda; Yang, Yung-Hsuan; Ye, Zhong; Yee, Victor W; Yeh, Cynthia; Zhao, Yue; Zheng, Xin; Ziegenbalg, Anke; Alkali, Jon; Azizkhanian, Ida; Bhakta, Akash; Berry, Luke; Castillo, Ryen; Darwish, Sonja; Dickinson, Holly; Dutta, Ritika; Ghosh, Rahul Kumar; Guerin, Riley; Hofman, Jonathan; Iwamoto, Garrick; Kang, Sarah; Kim, Andrew; Kim, Brian; Kim, Hanwool; Kim, Kristine; Kim, Suji; Ko, Julie; Koenig, Michael; LaRiviere, Alejandro; Lee, Clifton; Lee, Jiwon; Lung, Brandon; Mittelman, Max; Murata, Mark; Park, Yujin; Rothberg, Daniel; Sprung-Keyser, Ben; Thaker, Kunal; Yip, Vivian; Picard, Paul; Diep, Francie; Villarasa, Nikki; Hartenstein, Volker; Shapiro, Casey; Levis-Fitzgerald, Marc; Jaworski, Leslie; Loppato, David; Clark, Ira E; Banerjee, Utpal
A variety of genetic techniques have been devised to determine cell lineage relationships during tissue development. Some of these systems monitor cell lineages spatially and/or temporally without regard to gene expression by the cells, whereas others correlate gene expression with the lineage under study. The GAL4 Technique for Real-time and Clonal Expression (G-TRACE) system allows for rapid, fluorescent protein-based visualization of both current and past GAL4 expression patterns and is therefore amenable to genome-wide expression-based lineage screens. Here we describe the results from such a screen, performed by undergraduate students of the University of California, Los Angeles (UCLA) Undergraduate Research Consortium for Functional Genomics (URCFG) and high school summer scholars as part of a discovery-based education program. The results of the screen, which reveal novel expression-based lineage patterns within the brain, the imaginal disc epithelia, and the hematopoietic lymph gland, have been compiled into the G-TRACE Expression Database (GED), an online resource for use by the Drosophila research community. The impact of this discovery-based research experience on student learning gains was assessed independently and shown to be greater than that of similar programs conducted elsewhere. Furthermore, students participating in the URCFG showed considerably higher STEM retention rates than UCLA STEM students that did not participate in the URCFG, as well as STEM students nationwide.
PMCID:6829132
PMID: 31690598
ISSN: 2160-1836
CID: 4816732