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4607 citation(s) found for "Na, Brian".

Treatment and Outcomes of Reverse Shoulder Arthroplasty Dislocations
Sperling, John W. , Cofield, Robert H. , Chalmers, Brian P. , Wagner, Eric R. , Sánchez‐Sotelo, Joaquín

Journal of Shoulder and Elbow Arthroplasty | March 1, 2017 | Volume: 1 | Issue: No issue available | Pages: No page available

10.1177/2471549217695260 Get It

Background Dislocation is a challenging complication after reverse shoulder arthroplasty (RSA). We sought to evaluate the outcome of nonoperative and operative management of the dislocation after primary and revision RSA. Methods Between 2006 and 2013, dislocation occurred in 12/1081 primary RSAs (1.1%) and 15/342 revision RSAs (4.4%). Seventeen (69%) shoulders dislocated within 3 months of surgery. Ten (68%) patients underwent revision RSA for prosthetic instability. Mean age was 69 years, and mean follow-up after index RSA was 4 years. Results Closed reduction and bracing achieved a stable shoulder in 60% (3/5 patients) after primary and 20% (1/5 patients) after revision RSA dislocation. Operative management achieved a stable shoulder in 88% (7/8 patients) of primary and 64% (7/11 patients) of revision RSAs ( P = .40). Overall, 9 shoulders (33%) had persistent instability at the final follow-up: 2/12 (17%) primaries versus 7/15 (47%) revisions ( P = .08). Preoperative prosthetic instability was the main risk factor for chronic instability in the revision cohort ( P = .02). Worse functional outcomes were associated with the dislocation of a revision RSA ( P = .02). Conclusion After primary RSA dislocations, closed reduction is successful in half, while revision surgery is successful in 85% of cases. Conversely, closed reduction of a dislocated revision RSA is rarely successful, while revision surgery is successful 65% of the time. Every attempt should be made to achieve stability at the time of primary and revision RSA, since reduction or revision surgery does not guarantee the restoring stability.
Variations in primary sclerosing cholangitis across the age spectrum
Eaton, John E. , McCauley, Bryan M. , Atkinson, Elizabeth J. , Juran, Brian D., Schlicht, Erik M., de Andrade, Mariza, Lazaridis, Konstantinos N. , Andrade, Mariza de

Journal of Gastroenterology and Hepatology | March 1, 2017 | Volume: 32 | Issue: 10 | Pages: 1763-1768

10.1111/jgh.13774 | PMID 28245345 Get It

AbstractBackground and AimPrimary sclerosing cholangitis (PSC) typically develops in middle‐age adults. Little is known about phenotypic differences when PSC is diagnosed at various ages. Therefore, we sought to compare the clinical characteristics of a large PSC cohort based on the age when PSC was diagnosed.MethodsWe performed a multicenter retrospective review to compare the features of PSC among those diagnosed between 1–19 (n = 95), 20–59 (n = 662), and 60–79 years (n = 102).ResultsThose with an early diagnosis (ED) of PSC were more likely to have small‐duct PSC (13%) than those with a middle‐age diagnosis (MD) (5%) and late diagnosis (LD) groups (2%), P < 0.01, and appeared to have a decrease risk of hepatobiliary malignancies: ED versus MD: hazard ratio (HR), 0.25; 95% confidence interval (CI) 0.06–1.03, and ED versus LD: HR, 0.07; 95% CI 0.01–0.62. Cholangiocarcinoma was diagnosed in 78 subjects (ED n = 0, MD n = 66, and LD n = 12) and was more likely to be diagnosed within a year after the PSC diagnosis among those found to have PSC late in life: ED 0% (0/95), MD 2% (14/662), and LD 6% (6/102), P = 0.02. Similarly, hepatic decompensation was more common among those with LD‐PSC versus younger individuals: LD versus MD: HR, 1.64; 95% CI 0.98–2.70, and LD versus ED: HR, 2.26; 95% CI 1.02–5.05.ConclusionsThose diagnosed with PSC early in life are more likely to have small‐duct PSC and less likely to have disease‐related complications. Clinicians should be vigilant for underlying cholangiocarcinoma among those with PSC diagnosed late in life.
Implementation of an in‐house visual feedback system for motion management during radiation therapy
Ellerbusch, D, Cetnar, Ashley J. , James, Joshua A., Wang, Brian , Nguyen, Vi

Journal of Applied Clinical Medical Physics | February 28, 2017 | Volume: 17 | Issue: 1 | Pages: 421-427

10.1120/jacmp.v17i1.5817 | PMID 26894353 Get It

In this Technical Note, we describe an in‐house video goggles feedback system assembled using several commercially available products. This goggle video feedback system is currently being used at University of Louisville and Mayo Clinic for both CT simulation and linac treatment delivery. The setup details, including specific recommendations, are provided, along with an alternative option for using the video goggles system.PACS number: 07.07Hj
Using four‐dimensional computed tomography images to optimize the internal target volume when using volume‐modulated arc therapy to treat moving targets
Yakoumakis, N., Winey, Brian , Killoran, Joseph H., Mayo, Charles S. , Niedermayr, Thomas, Panayiotakis, George , Lingos, Tania, Court, Laurence E. , Mayo, Charles S.

Journal of Applied Clinical Medical Physics | February 27, 2017 | Volume: 13 | Issue: 6 | Pages: 181-188

10.1120/jacmp.v13i6.3850 | PMID 23149778 Get It

In this work we used 4D dose calculations, which include the effects of shape deformations, to investigate an alternative approach to creating the ITV. We hypothesized that instead of needing images from all the breathing phases in the 4D CT dataset to create the outer envelope used for treatment planning, it is possible to exclude images from the phases closest to the inhale phase. We used 4D CT images from 10 patients with lung cancer. For each patient, we drew a gross tumor volume on the exhale‐phase image and propagated this to the images from other phases in the 4D CT dataset using commercial image registration software. We created four different ITVs using the N phases closest to the exhale phase (where , 8, 7, 6). For each ITV contour, we created a volume‐modulated arc therapy plan on the exhale‐phase CT and normalized it so that the prescribed dose covered at least 95% of the ITV. Each plan was applied to CT images from each CT phase (phases 1–10), and the calculated doses were then mapped to the exhale phase using deformable registration. The effect of the motion was quantified using the dose to 95% of the target on the exhale phase and tumor control probability. For the three‐dimensional and 4D dose calculations of the plan where , differences in the value varied from 3% to 14%, with an average difference of 7%. For 9 of the 10 patients, the reduction in was less than 5% if eight phases were used to create the ITV. For three of the 10 patients, the reduction in the was less than 5% if seven phases were used to create the ITV. We were unsuccessful in creating a general rule that could be used to create the ITV. Some reduction (8/10 phases) was possible for most, but not all, of the patients, and the ITV reduction was small.PACS number: 87.55.D‐
Association Between Telomere Length and Risk of Cancer and Non-Neoplastic Diseases
Haycock, Philip , Burgess, Stephen , Nounu, Aayah , Zheng, Jie , Okoli, George N. , Wade, Kaitlin H. , Timpson, Nicholas J. , Evans, David M. , Willeit, Peter , Aviv, Abraham , Gaunt, Tom R. , Hemani, Gibran , Mangino, Massimo , Ellis, Hayley, Kurian, Kathreena M. , Pooley, Karen A. , Eeles, Rosalind A. , Lee, Jeffrey E. , Fang, Shenying , Chen, Wei V., Law, Matthew H. , Bowdler, Lisa, Iles, Mark M. , Worrall, Bradford B. , Markus, Hugh S. , Hung, Rayjean J., Amos, Chris, Thompson, Deborah J. , O’Mara, Tracy A. , Wolpin, Brian M. , Ámundadóttir, Laufey T. , Trichopoulou, Antonia , Onland‐Moret, N. Charlotte , Lund, Eiliv , Canzian, Federico , Severi, Gianluca , Overvad, Kim , Gunter, Marc J. , ­Tumino, ­Rosario , Svenson, Ulrika, Rij, André van, Baas, Annette F., Bown, Matthew J. , Samani, Nilesh J. , t’Hof, Femke N.G. van, Tromp, Gerard , Jones, Gregory T. , Kuivaniemi, Helena , Elmore, James R. , Johansson, Mattias , McKay, James , Scélo, Ghislaine , Carreras‐Torres, Robert , Gaborieau, Valérie , Brennan, Paul , Bracci, Paige M. , Olson, Sara H. , Gallinger, Steven , Li, Donghui , Petersen, Gloria M. , Han, Jiali , Abnet, Christian C. , Freedman, Neal D. , Aben, Katja K.H. , Kiemeney, Lambertus A. , Vermeulen, Sita H. , Walsh, Kyle M. , Wrensch, Margaret , Rice, Terri, Turnbull, Clare , Litchfield, Kevin , Paternoster, Lavinia , Standl, Marie , Mijatovic, Vladan, Sapkota, Yadav , Zondervan, Krina T. , Nyholt, Dale R. , Heel, David A. van , Arking, Dan E. , Ashar, Foram N., Sotoodehnia, Nona, Woo, Daniel , Comeau, Mary E. , Brown, W. Mark , Silverman, Edwin K. , Hokanson, John E. , Hui, Jennie , Thompson, Philip J. , Morrison, Alanna C. , Smith, Nicholas L. , Christiano, Angela M. , Petukhova, Lynn , Betz, Regina C. , Zhang, Xuejun, Zhu, Caihong, Langefeld, Carl D. , Thompson, Susan D. , Wang, Feijie , Fingerlin, Tasha E. , Rotter, Jerome I. , Cotch, Mary Frances , Jensen, Richard A., Munz, Matthias , Dommisch, Henrik , Schäefer, Arne S. , Ollila, Hanna M. , Hillary, Ryan P. , Zeng, Chenjie , Zheng, Wei , Shu, Xiao-Ou , Reis, André , Uebe, Steffen , Hüffmeier, Ulrike , Kawamura, Yoshiya, Otowa, Takeshi , Sasaki, Tsukasa, Dávila, Sonia , Siminovitch, Katherine A. , Bei, Jin‐Xin , Zeng, Yi‐Xin , Chen, Bowang , Franke, Andre, Fischer, Annegret, Ellinghaus, David , Flores, Carlos , Noth, Imre , Ma, Shwu‐Fan , Foo, Jia Nee , Liu, Jianjun , Cox, David G. , Delattre, Olivier , Mirabeau, Olivier , Skibola, Christine F., Tang, Clara Sze-Man , Garcia-Barceló, Mercè, Su, Wen-Hui , Chang, Yu‐Sun , Wade, Tracey , Lee, Chaeyoung , Kubo, Michiaki , Cha, Pei-Chieng , Nakamura, Yusuke, Levy, Daniel , Hunt, S. E., Spector, Tim D. , Soranzo, Nicole , Barr, R. Graham, Kahali, Bratati , Speliotes, Elizabeth K. , Yerges-Armstrong, Laura M. , Cheng, Ching‐Yu , Wong, Tien Yin , Fogh, Isabella , Powell, John , Rice, Kenneth , Relton, Caroline L. , Martin, Richard M. , Smith, George Davey , Hung, Rayjean J. , Bowden, Jack , Yang, Qiong , Spurdle, Amanda B. , Stolzenberg‐Solomon, Rachael Z. , Duell, Eric J. , Neale, Rachel Ε. , Risch, Harvey A. , Klein, Alison P. , Taylor, Philip R. , Maris, John M. , Wiencke, John K. , Abecasis, Gonçalo R. , SanGiovanni, John Paul , Li, Yong , Low, Siew‐Kee , Montgomery, Grant W. , Hunt, Karen A. , Rosand, Jonathan M. , Cho, Michael H. , Ferreira, Manuel A. R. , Felix, Janine F. , Fan, Xing Hua , Xu, Lin , Schwartz, David A. , Han, Fang , Albagha, Omar , Ralston, Stuart H. , Sasaki, Tsukasa, Hibberd, Martin Lloyd , Xie, Gang , Försti, Asta , Landi, Stefano , Ellinghaus, David , Kim, Jong‐Won , Chang, Kai‐Ping , Martin, Nicholas G. , Gordon, Scott D. , Kimura, Masayuki , Hwang, Shih‐Jen , Manichaikul, Ani , Barr, R. Graham, Jonas, Jost B , Lin, Kuang , Amundadottir, Laufey , Kiemeney, Lambertus A , Eeles, Rosalind A , van Heel, David A , Gunter, Marc J , Canzian, Federico , Hung, Rayjean J , O'Mara, Tracy A , Abnet, Christian C , Haycock, Philip , Tumino, Rosario , Han, Jiali , Martin, Richard M , Severi, Gianluca , Reis, André , Zheng, Wei , Rotter, Jerome I , Carreras-Torres, Robert , Law, Matthew H , Davey Smith, George , Johansson, Mattias , Iles, Mark M , Morrison, Alanna C , Rice, Ken , Freedman, Neal D , Foo, Jia Nee , Levy, Daniel , Rice, Kenneth , Sapkota, Yadav , Wong, Tien Y , Liu, Jing

JAMA Oncology | February 27, 2017 | Volume: 3 | Issue: 5 | Pages: 636

10.1001/jamaoncol.2016.5945 | PMID 28241208 Get It

The varied distribution and impact of RAS codon and other key DNA alterations across the translocation cyclin D subgroups in multiple myeloma
Stein, Caleb K., Pawlyn, Charlotte , Chavan, Shweta S. , Rasche, Leo , Weinhold, Niels , Corken, Adam , Buros, Amy, Sonneveld, Pieter , Jackson, Graham , Mughal, Tariq I. , He, Jie , Barlogie, Bart , Bergsagel, P. Leif , Davies, Faith E. , Walker, Brian A. , Morgan, Gareth J. , Epstein, Joshua , Bergsagel, P. Leif , Stein, Caleb K., Landgren, Ola , Davies, Faith E , Walker, Brian A , Morgan, Gareth J , Pawlyn, Charlotte

Oncotarget | February 27, 2017 | Volume: 8 | Issue: 17 | Pages: 27854-27867

10.18632/oncotarget.15718 | PMID 28427158 Get It

BRCA1 controls the cell division axis and governs ploidy and phenotype in human mammary cells
He, Zhengcheng , Kannan, Nagarajan , Nemirovsky, Oksana, Connell, Marisa , Jiang, Jihong, Pilarski, Linda M., Fleisch, Markus C. , Niederacher, Dieter , Pujana, Miguel Ángel , Eaves, Connie J. , Maxwell, Christopher A. , Chen, Helen , Taylor, Brian J. , Pujana, Miquel Angel , Kannan, Nagarajan

Oncotarget | February 27, 2017 | Volume: 8 | Issue: 20 | Pages: 32461-32475

10.18632/oncotarget.15688 | PMID 28427147 Get It

Variation in MS outcome
Weinshenker, Brian G. , Lucas, Robyn , Lucas, Robyn M, Weinshenker, Brian G

Neurology | February 25, 2017 | Volume: 88 | Issue: 13 | Pages: 1214-1215

10.1212/wnl.0000000000003776 | PMID 28235813 Get It

Evaluation of a revised indication for determining adult cochlear implant candidacy
Sladen, Douglas P. , Gifford, René H. , Haynes, David S. , Kelsall, David C., Benson, Aaron G., Zwolan, Teresa A. , Gantz, Bruce J. , Gilden, Jan, Westerberg, Brian D. , Gustin, Cindy, Driscoll, Colin L. W., Driscoll, Colin L., Lewis, Kristen, Fu, Qian‐Jie , O’Neil, Lori Ross

The Laryngoscope | February 24, 2017 | Volume: 127 | Issue: 10 | Pages: 2368-2374

10.1002/lary.26513 | PMID 28233910 Get It

ObjectiveTo evaluate the use of monosyllabic word recognition versus sentence recognition to determine candidacy and long‐term benefit for cochlear implantation.Study DesignProspective multi‐center single‐subject design.MethodsA total of 21 adults aged 18 years and older with bilateral moderate to profound sensorineural hearing loss and low monosyllabic word scores received unilateral cochlear implantation. The consonant‐nucleus‐consonant (CNC) word test was the central measure of pre‐ and postoperative performance. Additional speech understanding tests included the Hearing in Noise Test sentences in quiet and AzBio sentences in +5 dB signal‐to‐noise ratio (SNR). Quality of life (QoL) was measured using the Abbreviated Profile of Hearing Aid Benefit and Health Utilities Index.ResultsPerformance on sentence recognition reached the ceiling of the test after only 3 months of implant use. In contrast, none of the participants in this study reached a score of 80% on CNC word recognition, even at the 12‐month postoperative test interval. Measures of QoL related to hearing were also significantly improved following implantation.ConclusionResults of this study demonstrate that monosyllabic words are appropriate for determining preoperative candidate and measuring long‐term postoperative speech recognition performance.Level of Evidence2c. Laryngoscope, 127:2368–2374, 2017
Temporal trends and factors associated with receipt of systemic therapy among patients undergoing cytoreductive nephrectomy.
Smaldone, Marc C. , Handorf, Elizabeth, Thompson, R. Houston, Costello, Brian A. , Corcoran, Anthony , Wong, Yu‐Ning, Leibovich, Bradley C. , Boorjian, Stephen A. , Kim, Simon , Uzzo, Robert G. , Kutikov, Alexander

Journal of Clinical Oncology | February 24, 2017 | Volume: 32 | Issue: 4_suppl | Pages: 503-503

10.1200/jco.2014.32.4_suppl.503 Get It

503 Background: We evaluated temporal patterns in the utilization of systemic therapy among patients undergoing cytoreductive nephrectomy (CN) for metastatic Renal Cell Carcinoma (mRCC) from a large national cancer registry and assessed patient characteristics associated with receipt of systemic treatment. Methods: We reviewed the National Cancer Database to identify patients with stage IV RCC who underwent CN between 1998-2010. Systemic therapy was defined as any treatment with immunotherapy and/or chemotherapy (including targeted agents). We evaluated the association between clinicopathologic features and receipt of systemic therapy using multivariable logistic regression with generalized estimating equations, and assessed the interaction of treatment with time, stratified as immunotherapy (1998-2004) versus targeted-therapy (2005-2010) eras. Results: Of 22,409 patients with mRCC undergoing CN, 8,830 (39%) received systemic therapy. Receipt of systemic therapy increased from 32% in 1998 to 49% in 2010 (p<0.001), largely due to increased utilization of chemotherapy (13.9% vs. 46.7%; p<0.001). Following adjustment, increasing patient age (51-60 years: OR 0.82 [CI 0.73-0.92]; 61-70 years: OR 0.67 [CI 0.59-0.76]; ≥71 years: OR 0.36 [CI 0.31-0.43]), as well as coverage with Medicaid (OR 0.61 [CI 0.5-0.74]), Medicare (OR 0.70 [CI 0.62-0.79]), or no insurance (OR 0.75 [CI 0.63-0.91]) were associated with decreased utilization of systemic therapy. Although use of systemic therapy in the elderly (≥71 years) and in patients with Medicare/Medicaid remained lower throughout the study period, each of these cohorts was significantly more likely to receive systemic treatment in the targeted versus immunotherapy era (all p values <0.05). Conclusions: Utilization of systemic therapy among patients undergoing CN has increased over time, coinciding with the introduction of targeted therapies. Nevertheless, still less than half of such patients receive systemic treatment. While the etiology for lack of treatment is likely multifactorial, the potential health policy implications of continued disparities in care warrant further investigation.