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7722 citation(s) found for "Daniel, VW".

Cross-cohort analysis of expression and splicing quantitative trait loci in TOPMed
Blackwell, Thomas W., Kachuri, Linda , Castaldi, Peter J. , Cho, Michael H. , Christenson, Stephanie A. , Durda, Peter , Gabriel, Stacey , Hersh, Craig P. , Huntsman, Scott , Hwang, S.-J., Joehanes, Roby, Johnson, Mari , Li, Xingnan , Lin, Honghuang , Liu, Ching‐Ti , Liu, Yongmei , Mak, Angel C. Y. , Manichaikul, Ani , Paik, David T. , Saferali, Aabida , Smith, Joshua D. , Taylor, Kent D. , Wang, Jiongming , Weinstock, Joshua S. , Weiss, Jeffrey, Wheeler, Heather E. , Zhou, Ying , Zoellner, Sebastian, Mestroni, Luisa , Graw, Sharon , Taylor, Matthew R.G. , Ortega, Victor E. , Johnson, Craig , Gan, Weiniu , Abecasis, Gonçalo , Nickerson, Deborah A. , Ardlie, Kristin G., Woodruff, Prescott G. , Bowler, Russell P. , Meyers, Deborah A. , Reiner, Alex, Kooperberg, Charles , Ziv, Elad , Vasan, Ramachandran S. , Silverman, Edwin K. , Rich, Stephen S., Heard‐Costa, Nancy L. , Tang, Hua, Rotter, Jerome I. , Smith, Albert V. , Aguet, François, Scott, Laura J. , Raffield, Laura M. , Parker, Stephen C.J. , Abe, Namiko, Almasy, Laura, Ament, Seth, Anugu, Pramod, Auer, Paul, Avramopoulos, Dimitrios, Balasubramanian, Adithya, Barr, R. Graham, Barwick, Lucas, Beaty, Terri, Becker, Diane, Becker, Lewis, Beitelshees, Amber, Benos, Takis, Bezerra, Marcos, Bis, Joshua, Brody, Jennifer, Broeckel, Ulrich, Broome, Jai, Bunting, Karen, Buth, Erin, Carey, Vincent, Carty, Cara, Casaburi, Richard, Chaffin, Mark, Chang, Christy, Chang, Yi-Cheng, Chavan, Sameer, Chen, Bo-Juen, Chen, Wei-Min, Choi, Seung Hoan, Chuang, Lee-Ming, Chung, Ren-Hua, Conomos, Matthew, Cornell, Elaine, Crandall, Carolyn, Crapo, James, Curtis, Jeffrey, Damcott, Coleen, David, Sean, Fuentes, Lisa de las, Vries, Paul de, Deka, Ranjan, DeMeo, Dawn, Devine, Scott, Dinh, Huyen, Doddapaneni, Harsha, Duan, Qing, Duggirala, Ravi, Eaton, Charles, Ekunwe, Lynette, Boueiz, Adel El, Emery, Leslie, Farber, Charles, Farek, Jesse, Franceschini, Nora, Frazar, Chris, Fu, Mao, Fullerton, Stephanie M., Fulton, Lucinda, Gao, Shanshan, Gao, Yan, Gass, Margery, Geiger, Heather, Ghosh, Auyon, Gignoux, Chris, Glahn, David, Gogarten, Stephanie, Gong, Da-Wei, Goring, Harald, Grine, Daniel, Gu, C. Charles, Guan, Yue, Hall, Michael, Han, Yi, Harris, Daniel, Heavner, Ben, Herrington, David, Hobbs, Brian, Hong, Elliott, Hoth, Karin, Hsiung, Chao (Agnes), Hu, Jianhong, Hung, Yi-Jen, Huston, Haley, Hwu, Chii Min, Jackson, Rebecca, Jain, Deepti, Johnsen, Jill, Johnston, Rich, Jones, Kimberly, Kessler, Michael, Khan, Alyna, Khan, Ziad, Kim, Wonji, Kimoff, John, Kinney, Greg, Kramer, Holly, Lange, Christoph, Lange, Ethan, Laurie, Cathy, Laurie, Cecelia, LeBoff, Meryl, Lee, Sandra, Lee, Wen-Jane, Levine, David, Lewis, Joshua, Li, Yun, Lin, Xihong, Liu, Simin, Liu, Yu, Make, Barry, Manning, Alisa, Manson, JoAnn, Martin, Lisa, Marton, Melissa, Mathai, Susan, May, Susanne, McArdle, Patrick, McDonald, Merry-Lynn, McFarland, Sean, McGoldrick, Daniel, McHugh, Caitlin, Mei, Hao, Meigs, James, Menon, Vipin, Min, Nancy, Moll, Matt, Momin, Zeineen, Montasser, May, Mychaleckyj, Josyf C, Naik, Rakhi, Naseri, Take, Natarajan, Pradeep, Nelson, Sarah C., Neltner, Bonnie, Nessner, Caitlin, Nkechinyere, Osuji, O'Connell, Jeff, O’Connor, Tim, Ochs-Balcom, Heather, Okwuonu, Geoffrey, Pankow, James, Parker, Cora, Peloso, Gina, Peralta, Juan Manuel, Perez, Marco, Perry, James, Peters, Ulrike, Phillips, Lawrence S, Pollin, Toni, Becker, Julia Powers, Boorgula, Meher Preethi, Psaty, Bruce, Qiao, Dandi, Rafaels, Nicholas, Rajendran, Mahitha, Rasmussen-Torvik, Laura, Ratan, Aakrosh, Reed, Robert, Regan, Elizabeth, Reupena, Muagututi‘a Sefuiva, Robillard, Rebecca, Roselli, Carolina, Ruczinski, Ingo, Runnels, Alexi, Russell, Pamela, Ryan, Kathleen, Sabino, Ester Cerdeira, Salimi, Shabnam, Salvi, Sejal, Salzberg, Steven, Sandow, Kevin, Santibanez, Jireh, Schwander, Karen, Sciurba, Frank, Sériès, Frédéric, Shetty, Amol, Shetty, Aniket, Silver, Brian, Skomro, Robert, Smith, Tanja, Smoller, Sylvia, Snively, Beverly, Stilp, Adrienne M., Storm, Garrett, Streeten, Elizabeth, Su, Jessica Lasky, Sung, Yun Ju, Sylvia, Jody, Szpiro, Adam, Taub, Margaret, Taylor, Simeon, Thornton, Timothy A., Threlkeld, Machiko, Tinker, Lesley, Tirschwell, David, Tiwari, Hemant, Tong, Catherine, Tsai, Michael, Vaidya, Dhananjay, Walker, Tarik, Wallace, Robert, Walts, Avram, Wang, Fei Fei, Wang, Heming, Watson, Karol, Watt, Jennifer, Weng, Lu-Chen, Wessel, Jennifer, Williams, Kayleen, Wilson, Carla, Wilson, James, Winterkorn, Lara, Wong, Quenna, Wu, Baojun, Xu, Huichun, Yanek, Lisa, Yang, Ivana, Zekavat, Seyedeh Maryam, Zhao, Snow Xueyan, Zhao, Wei, Zhu, Xiaofeng, Rich, Stephen S. , Pankow, James S. , Reiner, Alex P. , Aguet, François , Johnson, W. Craig , Ardlie, Kristin , Orchard, Peter , Kachuri, Linda , Castaldi, Peter J , Cho, Michael H , Christenson, Stephanie A , Durda, Peter , Hersh, Craig P , Huntsman, Scott , Hwang, Seungyong , Joehanes, Roby , Johnson, Mari , Li, Xingnan , Lin, Honghuang , Liu, Ching-Ti , Liu, Yongmei , Mak, Angel C Y , Manichaikul, Ani W , Paik, David T , Smith, Joshua D , Taylor, Kent D , Tracy, Russell P , Wang, Jiongming , Wang, Mingqiang , Weinstock, Joshua S , Weiss, Jeffrey , Wheeler, Heather E , Zhou, Ying , Zöllner, Sebastian , Wu, Joseph C , Mestroni, Luisa , Graw, Sharon , Taylor, Matthew R G , Ortega, Victor E , Johnson, W Craig , Gan, Weiniu , Gupta, Namrata , Ardlie, Kristin , Woodruff, Prescott G , Bowler, Russell P , Reiner, Alexander P , Kooperberg, Charles , Ziv, Elad , Vasan, Ramachandran S , Silverman, Edwin K , Rich, Stephen S , Heard-Costa, Nancy , Tang, Hua , Rotter, Jerome I , Smith, Albert V , Levy, Daniel , Aguet, François , Scott, Laura J , Raffield, Laura M , Parker, Stephen C J , Pankow, James S , Tracy, Russell P. , Wu, Joseph C. , Larson, Martin G. , Cupples, L. Adrienne , Abe, Namiko, Almasy, Laura, Ament, Seth, Anugu, Pramod, Auer, Paul, Avramopoulos, Dimitrios, Balasubramanian, Adithya, Barr, R. Graham, Barwick, Lucas, Beaty, Terri, Becker, Diane, Becker, Lewis, Beitelshees, Amber, Benos, Takis, Bezerra, Marcos, Bis, Joshua, Brody, Jennifer, Broeckel, Ulrich, Broome, Jai, Bunting, Karen, Buth, Erin, Carey, Vincent, Carty, Cara, Casaburi, Richard, Chaffin, Mark, Chang, Christy, Chang, Yi-Cheng, Chavan, Sameer, Chen, Bo-Juen, Chen, Wei-Min, Choi, Seung Hoan , Chuang, Lee-Ming, Chung, Ren-Hua, Conomos, Matthew, Cornell, Elaine, Crandall, Carolyn, Crapo, James, Curtis, Jeffrey, Damcott, Coleen, David, Sean, Fuentes, Lisa de las, Vries, Paul de, Deka, Ranjan, DeMeo, Dawn, Devine, Scott, Dinh, Huyen, Doddapaneni, Harsha, Duan, Qing, Duggirala, Ravi, Eaton, Charles, Ekunwe, Lynette, Boueiz, Adel El, Emery, Leslie, Farber, Charles, Farek, Jesse, Franceschini, Nora, Frazar, Chris, Fu, Mao, Fullerton, Stephanie M., Fulton, Lucinda, Gao, Shanshan, Gao, Yan, Gass, Margery, Geiger, Heather, Ghosh, Auyon, Gignoux, Chris, Glahn, David, Gogarten, Stephanie, Gong, Da-Wei, Goring, Harald, Grine, Daniel, Gu, C. Charles, Guan, Yue, Hall, Michael, Han, Yi, Harris, Daniel, Heavner, Ben, Herrington, David, Hobbs, Brian, Hong, Elliott, Hoth, Karin, Hsiung, Chao (Agnes), Hu, Jianhong, Hung, Yi-Jen, Huston, Haley, Hwu, Chii Min, Jackson, Rebecca, Jain, Deepti, Johnsen, Jill, Johnston, Rich, Jones, Kimberly, Kessler, Michael, Khan, Alyna, Khan, Ziad, Kim, Wonji, Kimoff, John, Kinney, Greg, Kramer, Holly, Lange, Christoph, Lange, Ethan, Laurie, Cathy, Laurie, Cecelia, LeBoff, Meryl, Lee, Sandra, Lee, Wen-Jane, Levine, David, Lewis, Joshua, Li, Yun, Lin, Xihong, Liu, Simin, Liu, Yu, Make, Barry, Manning, Alisa, Manson, JoAnn, Martin, Lisa, Marton, Melissa, Mathai, Susan, May, Susanne, McArdle, Patrick, McDonald, Merry-Lynn, McFarland, Sean, McGoldrick, Daniel, McHugh, Caitlin, Mei, Hao, Meigs, James, Menon, Vipin, Min, Nancy, Moll, Matt, Momin, Zeineen, Montasser, May, Mychaleckyj, Josyf C, Naik, Rakhi, Naseri, Take, Natarajan, Pradeep, Nelson, Sarah C., Neltner, Bonnie, Nessner, Caitlin, Nkechinyere, Osuji, O'Connell, Jeff, O’Connor, Tim, Ochs-Balcom, Heather, Okwuonu, Geoffrey, Parker, Cora, Peloso, Gina, Peralta, Juan Manuel, Perez, Marco, Perry, James, Peters, Ulrike, Phillips, Lawrence S, Pollin, Toni, Becker, Julia Powers, Boorgula, Meher Preethi, Psaty, Bruce, Qiao, Dandi, Rafaels, Nicholas, Rajendran, Mahitha, Rasmussen-Torvik, Laura, Ratan, Aakrosh, Reed, Robert, Regan, Elizabeth, Reupena, Muagututi‘a Sefuiva, Robillard, Rebecca, Roselli, Carolina, Ruczinski, Ingo, Runnels, Alexi, Russell, Pamela, Ryan, Kathleen, Sabino, Ester Cerdeira, Salimi, Shabnam, Salvi, Sejal, Salzberg, Steven, Sandow, Kevin, Santibanez, Jireh, Schwander, Karen, Sciurba, Frank, Sériès, Frédéric , Shetty, Amol, Shetty, Aniket, Silver, Brian, Skomro, Robert, Smith, Tanja, Smoller, Sylvia, Snively, Beverly, Stilp, Adrienne M., Storm, Garrett, Streeten, Elizabeth, Su, Jessica Lasky, Sung, Yun Ju, Sylvia, Jody, Szpiro, Adam, Taub, Margaret, Taylor, Simeon, Thornton, Timothy A., Threlkeld, Machiko, Tinker, Lesley, Tirschwell, David, Tiwari, Hemant, Tong, Catherine, Tsai, Michael, Vaidya, Dhananjay, Walker, Tarik, Wallace, Robert, Walts, Avram, Wang, Fei Fei, Wang, Heming, Watson, Karol, Watt, Jennifer, Weng, Lu-Chen, Wessel, Jennifer, Williams, Kayleen, Wilson, Carla, Wilson, James, Winterkorn, Lara, Wong, Quenna, Wu, Baojun, Xu, Huichun, Yanek, Lisa, Yang, Ivana, Zekavat, Seyedeh Maryam, Zhao, Snow Xueyan, Zhao, Wei, Zhu, Xiaofeng

Science | July 16, 2026 | Volume: 393 | Issue: 6808 | Pages: No page available

10.1126/science.adx2989 | PMID 42462027 Get It

Most genetic variants associated with complex traits are hypothesized to regulate gene expression. To understand the genetics underlying gene expression variability, we characterized 14,324 RNA-sequencing samples from the Trans-Omics for Precision Medicine program and performed expression and splicing quantitative trait locus (e/sQTL) analyses in six tissues and cell types, including whole blood ( n = 6454) and lung ( n = 1291). We detected tens of thousands of secondary cis-e/sQTLs, showing that secondary cis-e/sQTL discovery remains unsaturated. We fine-mapped UK Biobank–derived genome-wide association study (GWAS) signals from 164 traits and identified e/sQTL colocalizations for 10,611 GWAS signals, including 7096 that colocalize with secondary e/sQTLs. Our results suggest that even larger e/sQTL analyses will uncover additional secondary e/sQTLs, further benefiting GWAS interpretation.
How to Use Full-Length Standing Radiographs to Measure Posterior Tibial Slope and Anterior Tibial Translation
Khan, Abid M. , Bishop, Alexander K. , Hevesi, Mario , Krych, Aaron J., Levy, Bruce A. , Hevesi, Mario , Levy, Bruce A , Daniel, Adam V. , Krych, Aaron J. , Tagliero, Adam J. , Levy, Bruce A.

Video Journal of Sports Medicine | July 16, 2026 | Volume: 6 | Issue: 4 | Pages: No page available

10.1177/26350254261419139 | PMID 42491179 Get It

Background: Increased posterior tibial slope (PTS) and anterior tibial translation (ATT) result in a higher risk of anterior cruciate ligament reconstruction failure. Accurate measurement of PTS and ATT is essential to guide surgical planning in these patients. Full-length weightbearing lateral tibial radiographs yield the most accurate measurement of PTS and ATT compared with short-film tibial radiographs, computed tomography scans, and magnetic resonance imaging. Indications: We aim to demonstrate a validated, reproducible technique in a stepwise fashion to accurately measure PTS and ATT using full-length weightbearing lateral tibial radiographs. This presentation adds to the field by offering a precise measurement technique for surgical planning purposes. Technique Description: To precisely measure PTS using a full-length weightbearing lateral tibial radiograph, first, perpendicular lines are drawn 5 cm proximal to the ankle joint and 5 cm distal to the knee joint. A line is then extended proximally from the center of the perpendicular line near the ankle through the center of the perpendicular line near the knee, and then extended up to the tibial articular surface. Next, a line is drawn along the medial tibial plateau. The angle measured between these 2 lines is subtracted from 90° to yield the PTS. To precisely measure ATT, a line is drawn along the diaphysis of the tibia and approximated to the posterior aspect of the proximal tibia. Then, another parallel line is drawn and approximated to the posterior aspect of the distal femur. The distance between these lines is measured to yield anterior tibial translation. Results: We measured a PTS of 14.2° and an ATT of 12.6 mm using the technique described in this presentation. Discussion/Conclusion: This technique demonstrates an accurate and reproducible method to precisely measure PTS and ATT using full-length weightbearing lateral tibial radiographs. This technique yields greater accuracy in PTS and ATT than other imaging modalities. As a result, there is a direct benefit for surgical planning when using this technique. Patient Consent Disclosure Statement: The author(s) attests that consent has been obtained from any patient(s) appearing in this publication. If the individual may be identifiable, the author(s) has included a statement of release or other written form of approval from the patient(s) with this submission for publication.
Computer vision mechanical QA: Development, characterization, and five years of clinical performance
Ger, Rachel B., Armstrong, Michael D., Robertson, Daniel , Robertson, Daniel G

Journal of Applied Clinical Medical Physics | July 16, 2026 | Volume: 27 | Issue: 7 | Pages: No page available

10.1002/acm2.70678 | PMID 42458885 Get It

Abstract Background Quality assurance (QA) in radiation therapy is a critical component of ensuring accurate and consistent patient treatments, but many tasks are time consuming and rely on human visual acuity, which limits their accuracy. Purpose We aimed to automate monthly mechanical QA tests, improve measurement accuracy and precision, and decrease inter‐user variability using a computer vision‐based quality assurance (CVQA) system. Methods A custom marker board incorporating four ArUco markers was created along with a custom camera holder that mounted onto the gantry head. OpenCV was utilized to automate tests for couch translation, collimator and table angles, collimator and table walkout, optical distance indicator (ODI), and field size detection. A GUI was created to guide users through the tests, determine passing status of measurements based on MPPG8.b criteria, and display image captures to allow users to troubleshoot if needed. Reproducibility tests were taken across four days. The system was tested against manual measurements by graph paper or digital level for each test. Field sizes and ODI were read by 12 different physicists to determine human variability and comparisons for CVQA. Results The CVQA system took 5 min to set up and 7 min to perform all tests. All field sizes, collimator/table angles, collimator/table walkout, and table translations were reproducible within 0.5 mm and 0.5°. ODI measurements were reproducible within 1 mm. Table travel, ODI, and walkout measurements agreed with manual measurements within 0.5 mm and 0.4°, except for vertical table motions that agreed within 0.9 mm due to the lens focus being optimized for the 100 cm SSD plane. The standard deviation between physicists for almost all symmetric and asymmetric jaws was larger than the reproducibility of CVQA. CVQA has been utilized for five years and has demonstrated ability to identify mechanical machine issues. Conclusions CVQA successfully automates mechanical QA tasks, providing an efficient and precise system. CVQA is open source and freely available for academic institutions. Its adoption can improve workflow efficiency and consistency in clinical environments.
Medical strategies of cardiovascular protection to reduce cancer therapy-related cardiovascular toxicity: where do we stand?
Lenihan, Daniel J. , Herrmann, Joerg, Lenihan, Daniel , Herrmann, Joerg

Heart | July 15, 2026 | Volume: No volume available | Issue: No issue available | Pages: heartjnl-2025-326875

10.1136/heartjnl-2025-326875 | PMID 42457616 Get It

Cancer therapy has dramatically changed over the past many decades, not only in efficacy but also complexity, with targeted therapeutics that have novel mechanisms of action. As a direct result of these remarkable treatments that have extended the lives of many patients, the increased recognition of cancer therapy-related cardiac dysfunction as well as the broader description of cancer therapy-related cardiovascular toxicity (CTR-CVT) has become obvious. The discipline of cardio-oncology has accepted the challenge to provide excellent cardiovascular (CV) protection for our patients being treated for cancer in order to achieve the best overall outcomes. The successful application of optimal CV protection by cardio-oncology needs to incorporate basic principles to realise these improved overall outcomes. Critical paradigm principles include: (1) using effective CV therapy; (2) targeting the likely mechanisms of action responsible for CTR-CVT; and (3) documenting cancers and cancer therapies associated with high CTR-CVT. Such a CV protection paradigm is likely to have the biggest impact and confirm an improved overall outcome. In addition, it is important to emphasise that knowing those cancers with high CTR-CVT risk requires careful comparative study of CV endpoints during exploratory cancer trials. Furthermore, astute clinical observations of specific CTR-CVT should be routinely reported to allow the development of strategies that minimise the negative impact of CTR-CVT. Lastly, coordinated efforts that allow realistic goals of cancer treatment while minimising the impact of CTR-CVT are the end goal in order to eliminate CV disease as a barrier to effective cancer treatment.
Clinical Recommendations for Remote Robotic Assisted Surgery From the CRSA 2025 International Consensus Conference
Raptis, Dimitri Aristotle , Kavoussi, Louis, Wren, Sherry M. , Fowler, Dennis, Anvari, Mehran, Bianco, Francesco, Liang, Xiao, Li, Zheyong, Yin, Xiaoyu, Piccoli, Micaela, Marks, John, Shen, Baiyong, Ko, Clifford, Seeliger, Barbara, Hagendoorn, Jeroen, Essani, Rahila, Walsh, R. Matthew, Oleynikov, Dmitry, Jones, Stephanie B., Bindal, Vivek , Kim, Hyun Koo, Hyung, Woo Jin, Hashimoto, Daniel, Chen, Liaohai Leo, Burt, Bryan M., Lafaro, Kelly, Elli, Fernando, Wilson, Erik, Bianchi, Paolo Pietro, Morgan, Annette, Bartlett, Stephen T., Rashidi, Laila, Yu, Liu, Gawkins, Bill, Hinoul, Piet, Peine, Bill, Woo, Yanghee, Raoof, Mustafa, Jones, Daniel, Deshpande, Supriya, Bernard, Jordana , Wang, Yulun, Broering, Dieter C., Giulianotti, Pier Cristoforo, Fong, Yuman , Raptis, Dimitri , Wren, Sherry M , Aldousari, Saad , Ruurda, Jelle P. H. , Bindal, Vivek , Melstrom, Laleh , Celotto, Francesco , Kudsi, Yusef , Ratti, Francesca , Bernard, Jordana , Kavoussi, Louis R., Fowler, Dennis L. , Anvari, Mehran , Bianco, Francesco Maria , Piccoli, Micaela , Marks, John, Ko, Clifford, Seeliger, Barbara , Hagendoorn, Jeroen , Essani, Rahila, Walsh, R. Matthew , Oleynikov, Dmitry , Hyung, Woo Jin , Hashimoto, Daniel A. , Burt, Bryan M. , Lafaro, Kelly J. , Elli, Fernando, Bianchi, Paolo Pietro, Rashidi, Laila, Hinoul, Piet , Peine, Bill, Woo, Yanghee , Raoof, Mustafa , Jones, Daniel, Deshpande, Supriya , Bröering, Dieter C. , Giulianotti, Pier Cristoforo

World Journal of Surgery | July 14, 2026 | Volume: 50 | Issue: 8 | Pages: 2274-2288

10.1002/wjs.70468 | PMID 42444290 Get It

ABSTRACT Background Implementation of remote robotic‐assisted surgery (rRAS) has the potential to significantly improve access to high‐quality surgical care for patients worldwide. Advances in robotic systems and telecommunications now enable highly reliable, low latency, and cybersecure connectivity. These technological developments, together with the broader adoption of telemedicine, have driven an increasing interest in the implementation of rRAS. Methods The Clinical Robotic Surgery Association (CRSA) convened a conference to develop international clinical recommendations for rRAS using the Danish Model of Consensus. The society identified five key issue categories and invited a panel of experts to address specific questions for each. Panel members and a jury of 10 unbiased, non‐expert in rRAS professionals participated in a day‐long conference on November 19, 2025 (Los Angeles, USA). During the conference, participants presented, discussed, and reached consensus on specific guidelines relevant to each category. Immediately after the conference, the jury reviewed and approved the recommended guidelines. Results Multiple recommendations were approved for each of the following categories: Operating Models, Roles and Responsibilities (2 recommendations), Clinical Pathway (2 recommendations), Emergency Management (8 recommendations), Technical Considerations (5 recommendations), and Medico‐legal and Ethical Considerations (4 recommendations). Conclusions There was consensus that with recent advances in telecommunication and robotic technologies, rRAS can be offered safely and effectively if the identified safeguards are realized. Adoption of rRAS is expected to continue advancing rapidly.
Amyloid PET Quantitation and Centiloid Thresholds in the Diagnosis of Alzheimer Disease
Soleimani‐Meigooni, David N. , Chiotis, Konstantinos, Allen, Isabel E., Rabinovici, Gil D., Joie, Renaud La , Group, Meta-Centiloid Study, Apostolova, Liana G. , Asken, Breton M., Benzinger, Th., Betthauser, Tobey J., Bluma, Marina, Bombois, Stephanie, Bourgeat, Pierrick, Bouteloup, Vincent , Braskie, Meredith N., Brendel, Matthias, Brickman, Adam M., Bryant, Natalie, Bullich, Santiago , Carrillo, Maria C., Casaletto, Kaitlin, Cash, David M., Chang, Chiung-Chih, CHANG, H L, Chao, Yishu , Collij, Lyduine E., Corrada, Maria M., Craft, Suzanne , Dickerson, Bradford C., Dubois, Bruno, Dufouil, Carole, Fajardo, Alfonso, Farrar, Gill , Fortea, Juan, Frings, Lars , Frisoni, Giovanni B., Gardner, Raquel C., Gnörich, Johannes , Gordon, Brian A., Gu, Yuna , Guan, Yihui, Guo, Tengfei, Hanseeuw, Bernard J., Hansson, Oskar, Harrison, Theresa M., Huang, Qi, Huang, ST , Iaccarino, Leonardo, Ishii, Kazunari, Ishi, Kenji, Jagust, William J., Johnson, Sterling C., Kato, Takashi, Katsumi, Yuta, Kaye, Jeffrey, Kolinger, Guilherme D., Kramer, Joel H. , Landau, Susan M., Landeau, Brigitte, Lao, Patrick J., Lee, Sangwon, Lopresti, Brian J., Lowe, Val J. , Luchsinger, José A., Mao, Xiaoxie, March, Andrew, Masters, Colin L., Meyer, Philipp T., Mezenge, Florence, Mormino, Elizabeth C., Franquesa‐Mullerat, María , Nakamura, Akinori, Nordberg, Agneta, O’Brien, John T., O’Bryant, Sid E., Pappas, Ioannis, Peretti, Debora E., Rowe, Christopher C., Rowe, James B., Schwartz, Daniel L., Seo, Sang Won , Shekari, Mahnaz, Smith, Ruben, Snyder, Heather M. , Sokolowski, Andrzej, Sperling, Reisa A., Sun, Pan, Taggett, Jacinda Z., Touroutoglou, Alexandra , Vaillancourt, David E., Giessen, Elsmarieke van de, Vijverberg, Jort, Villemagne, Victor L. , Villeneuve, Sylvia , Wang, Wei-en, Weiner, Michael, Woodworth, Davis, Xiao, Cally , Xie, F, Yoon, Yeojun, Yun, Mijin, Severanc, A4, ABIDE, ADNI*, ADNI-DoD, AgeWell, AIBL, AMYPAD, BACS, BATON, BIOCARD, BLSA, BioFINDER-2, BrANCH, CPAS, DETECT-AD, GEMS, GHABS, HABS, HABS-HD, IDEAS, IMAP, INSIGHT-preAD, Insight46, K-ROAD, LEADS, MCSA, MULNIAD, MEMENTO, SCAN, PREVENT-AD, SPIN,, Corrada, María M. , La Joie, Renaud , Blazhenets, Ganna , Chiotis, Konstantinos , Allen, Isabel Elaine , Rabinovici, Gil D. , Asken, Breton M. , Bejanin, Alexandre , Benzinger, Tammie L.S. , Betthauser, Tobey J. , Blūma, Marina , Bombois, Stéphanie , Bourgeat, Pierrick , Braskie, Meredith N. , Brendel, Matthias , Brickman, Adam M. , Carrillo, María C. , Casaletto, Kaitlin B. , Cash, David M. , Chang, Chiung‐Chih , Chang, Hsin‐I , Chêne, Geneviève , Chételat, Gaël , Coath, William , Collij, Lyduine , Colmant, Lise , Dickerson, Bradford Clark , Dubois, Bruno , Dufouil, Carole , Fortea, Juan , Garibotto, Valentina , Gordon, Brian A. , Guan, Yihui , Guo, Tengfei , Hanseeuw, Bernard , Hansson, Oskar , Harrison, Theresa M. , Iaccarino, Leonardo , Ishii, Kazunari , Ishii, Kenji, Jagust, William J. , Johnson, Sterling C. , Katsumi, Yuta , Kaye, Jeffrey , Koeppe, Robert A. , Kolinger, Guilherme Domingues , Landau, Susan , Landeau, Brigitte , Lao, Patrick , Lee, Sangwon, Lleó, Alberto , Lopresti, Brian J. , Malpetti, Maura , March, Andrew, Masters, Colin L. , Mézenge, Florence, Mormino, Elizabeth C. , Nakamura, Akinori , Nordberg, Agneta , O'Brien, John Tiernan , O’Bryant, Sid E. , Pappas, Ioannis , Quenon, Lisa , Rowe, Christopher Cleon , Rowe, James B. , Rudolph, Marc D. , Salvadó, Gemma , Schott, Jonathan M. , Schwarz, Christopher G. , Shekari, Mahnaz , Silbert, Lisa C. , Smith, Ruben, Sokolowski, Andrzej, Sperling, Reisa Anne , Sun, Pan , Taggett, Jacinda , Toga, Arthur W. , Vaillancourt, David E. , Giessen, Elsmarieke van de , Vemuri, Prashanthi , Villain, Nicolas , Wang, Wei‐en , Weiner, Michael W. , Xie, Fang , Young, Christina B. , Yun, M R

JAMA | July 13, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1001/jama.2026.13116 | PMID 42441390 Get It

Importance Amyloid positron emission tomography (PET) is increasingly used in research and clinical settings to determine the etiology of cognitive decline and eligibility for amyloid-targeting therapies. To assist with amyloid PET evaluation and to guide clinical decision-making, images can be quantified in a standardized unit called Centiloid, the interpretation of which can vary according to the method and threshold used. Objective To collect Centiloid values from available studies and determine robust positivity cutoffs using data-driven methods and correspondence with visual reads. Data Sources PubMed search (October 2024) identified studies with Centiloid values. Corresponding authors were invited to share individual participant data. Additional data were obtained through access-controlled repositories and conference outreach (July 2024-July 2025). Study Selection Studies were included if they provided Centiloids, radiotracer, age, and sex. Data Extraction and Synthesis Each study was analyzed using a unified statistical pipeline; study estimates were pooled using random-effects meta-analysis. Main Outcomes and Measures Gaussian mixture models (GMMs) were fitted to Centiloid values for each study. In studies with a bimodal distribution (per integrated completed likelihood), single cutoffs for positivity were set as mean plus 2 SDs of the lower gaussian component. Using GMMs, a double-cutoff approach defined a lower certainty range using a 90% posterior probability cutoff for assignment to the low (amyloid-negative) vs high (amyloid-positive) component. An alternative Centiloid cutoff was derived from maximizing the correspondence (Cohen κ) with the binary visual reads when available. Results This meta-analysis included cross-sectional amyloid PET scans acquired with 5 radiotracers from 49 227 participants across 53 studies from 15 countries (mean age, 71 years; 54% female, 62% cognitively impaired). The data-driven GMM approach identified a bimodal distribution in 51 studies (n = 48 786), resulting in a single cutoff for positivity of 18 Centiloids (95% CI,16-19; I 2 = 97%). The double-cutoff approach revealed high confidence for interpreting scans as negative when Centiloid values were lower than 11 (95% CI, 9-13; I 2 = 95%) and interpreting scans as positive if Centiloid values were higher than 26 (95% CI, 24-28; I 2 = 95%). In analyses of correspondence with binary (positive or negative) visual reads of amyloid PET scans (n = 35 045; 36 studies), Centiloids were highly predictive of visual positivity (Cohen κ, 0.86; 95% CI, 0.83-0.89; I 2 = 96%) with a cutoff of 27 Centiloids (95% CI, 24-30; I 2 = 80%). Conclusions and Relevance In this individual participant data meta-analysis, positivity cutoffs converged around 18 Centiloids (data-driven) and 27 Centiloids (visual reads). Findings from a double-cutoff analysis suggest that scans in the 11 to 26 Centiloid range should be interpreted with caution depending on the context of use.
Plasma Phosphorylated Tau 217 in Participants at Risk for Chronic Traumatic Encephalopathy
Miner, A, Zetterberg, Henrik, Blennow, Kaj, Groh, Jenna R., Singh, Alpana, Dieckhoff, Kari, Tripodis, Yorghos, Adler, Charles H., Balcer, Laura J. , Bernick, C L, Peskind, Elaine, Asken, Breton M., Tanner, Jeremy A., Rabinovici, Gil D., Banks, Sarah J., Barr, William B., Wethe, Jennifer V., Cantu, Robert C., Dodick, David W., Mez, Jesse, Palmisano, J, Martin, Brett, Stein, Thor D., McKee, Ann C., Cummings, Jeffrey L., Shenton, Martha E., Reiman, E Bieto, Rc, Stern, Ashton, Nicholas J., Alosco, Michael L., Chen, Kewei, Protas, Hillary, Su, Yi, Boker, Connie, Au, Rhoda, Farrer, Lindsay, Helm, Robert, Kowall, Neil, Mercier, Gustavo, Otis, James, Weller, Jason, Bragg, Tahlia, Simkin, Irene, Trujillo-Rodriguez, Diana, Amerongen, Suzan van , Andino, Alondra, Conneely, Shannon, Diamond, Courtney, Fagle, Tessa, Haller, Olivia, Hunt, Tennyson, Gullotti, Nicole, Kossow, Bailey, Kugelmass, Carrie, Mariani, Megan, Mayville, Brian, McLaughlin, Kathleen, Nanna, Mary, DiPopolo, Marty, Platt, Taylor, Rice, Fiona, Sestak, Madison, McClean, Michael, Annis, Douglas, Chaisson, Christine, Dixon, Diane, Finney, Carolyn, Gallagher, Kerrin, Hartlage, Kaitlin , Lu, Jun, Ojo, E O, Pine, Brittany, Ramachandran, Janani, Baucom, Zachary, Tuz‐Zahra, Fatima , Yhang, Eukyung , Bouix, Sylvain, Fitzsimmons, Jennifer, Lin, Alexander P., Koerte, Inga K., Pasternak, Ofer, Arciniega, Hector , Billah, Tashrif , Bonke, Elena, Breedlove, Katherine M. , Carrington, Holly, Coello, Eduardo , Coleman, Michael J., John, Omar , Jung, Leonard, Liao, Huijun, Loy, Maria, Rizzoni, Elizabeth, Schulz, V. D., Silva, Annelise, Vessey, Brynn, Wiegand, Tim L.T, Miller, Jason, Ritter, Aaron , Sabbagh, Marwan, Cruz, Raelynn de la, Durant, Jan, Golceker, Morgan, Harmon, Nicolette, Kaylegian, Jaeson, Long, Rachelle, Nance, Christine, Sandoval, Priscilla, Staples, Miranda, Clark, Emma F., Serrano, Andrew, Geda, Yonas, Duffy, Amy, Falk, Bryce, Howard, Marci, Montague, Michelle , Osgood, Thomas, Babcock, Debra, Bellgowan, Patrick, GOLDBERG, JUDITH, Joseph, Binu , Kirov, Ivan, Lui, Yvonne, Marmar, Charles, Wisniewski, T R, Al-Kharafi, Alhassan, George, Allan, Hasanaj, Lisena, Martin, Sammie, Riley, Edward, Runge, William, Serrano, Liliana , Iliff, Jeffrey, Li, Gail, Janssen, D, Meabon, James, Piantino, Juan, Schindler, Abigail, Thomas, Ronald, Colasurdo, Elizabeth , Shofer, Jane, Marcus, Daniel S., Gurney, Jenny , Greenwald, Richard, Johnson, Keith A., Singh, Alpana , Singh, Alpana , Miner, Annalise E., Zetterberg, Henrik , Blennow, Kaj , Groh, Jenna R. , Singh, Alpana, Tripodis, Yorghos , Adler, Charles H. , Bernick, Charles , Peskind, Elaine R. , Asken, Breton M. , Rabinovici, Gil D. , Banks, Sarah J. , Barr, William , Wethe, Jennifer V. , Cantu, Robert C. , Dodick, David W. , Mez, Jesse , Stein, Thor D. , McKee, Ann C. , Cummings, Jeffrey L. , Shenton, Martha E. , Reiman, Eric M. , Ashton, Nicholas J. , Alosco, Michael L. , Protas, Hillary , Au, Rhoda, Weller, Jason , Trujillo‐Rodriguez, Diana , Fagle, Tessa, Mariani, Megan, McLaughlin, Kathleen , Pulukuri, Surya Vamsi , Sestak, Madison, McClean, Michael D , Annis, Douglas, Finney, Carolyn, Lu, Jun, Pine, Brittany, Ramachandran, Janani , Baucom, Zachary, Bouix, Sylvain , Koerte, Inga K , Pasternak, Ofer , Bonke, Elena M. , Carrington, Holly , Coleman, Michael J. , Liao, Huijun, Schulz, Vivian, Wiegand, Tim L. T. , II, Robert W. Turner , Marek, Kenneth , Geda, Yonas E. , Howard, Marci, Montague, Michelle, Babcock, Debra, Bellgowan, Patrick S.F. , Kirov, Ivan, George, Allan, Meabon, James S. , Piantino, Juan , Thomas, Ronald G. , Colasurdo, Elizabeth A. , Shofer, Jane, Marcus, Daniel S., Johnson, Keith A.

JAMA Network Open | July 13, 2026 | Volume: 9 | Issue: 7 | Pages: e2622966

10.1001/jamanetworkopen.2026.22966 | PMID 42440317 Get It

Importance In vivo biomarkers for detecting neuropathologies from repetitive head impacts (RHI), including chronic traumatic encephalopathy (CTE), are needed. Objective To evaluate the utility of plasma phosphorylated tau 217 (p-tau217), assess its performance as a beta-amyloid (Aβ) biomarker in participants with RHI exposure at risk for CTE, and explore concordance with CTE neuropathology in a postmortem subsample. Design, Setting, and Participants This longitudinal, multicenter, case-control study used data from the Diagnostics, Imaging, and Genetics Network for the Objective Study and Evaluation of CTE (DIAGNOSE CTE) Research Project, collected from September 2016 to October 2023. Participants were former American football players (case participants) and asymptomatic men unexposed to RHI (control participants). A subsample had available neuropathologic data. Exposures RHI, traumatic encephalopathy syndrome (TES) diagnoses, and levels of CTE certainty. Main Outcomes and Measures Plasma p-tau217 (classified as positive [≥0.63 pg/mL], intermediate [0.40-0.62 pg/mL], and negative [<0.40 pg/mL]), Aβ–positron emission tomography (PET; 18 F-florbetapir; with Aβ-positive defined as a standardized uptake value ratio [SUVR] ≥1.10), and tau-PET ( 18 F-flortaucipir). TES diagnoses were assigned by multidisciplinary consensus conference. Analyses of postmortem brains controlled for age, race, and APOE ε4 status. Results Among 231 participants (mean [SD] age, 57.75 [8.25] years), 177 were former football players (117 professional and 60 college) and 54 were unexposed participants. Former football players had higher baseline mean (SD) p-tau217 concentrations than unexposed participants (0.35 [0.26] pg/mL vs 0.27 [0.14] pg/mL; P = .008), although this was driven by a higher proportion of Aβ-PET–positive participants among former players. Plasma p-tau217 increased over time across the sample (B = 0.207 [95% CI, 0.117-0.298]; P < .001), with no significant time × exposure group interactions. Among football players, p-tau217 showed no time × group interactions with TES diagnosis, TES-CTE certainty, or RHI metrics. Higher p-tau217 concentration correlated with higher global Aβ-PET SUVR (B = 0.058 [95% CI, 0.053-3.501; P = .01), with a few discordant cases (5 participants were p-tau217–negative and Aβ-PET–positive; 7 participants were p-tau217–positive and Aβ-PET–negative). P-tau217 had similar areas under the curve for projecting Aβ-PET positivity as cerebrospinal fluid (CSF) p-tau181/Aβ42 and CSF Aβ40/42 measures (p-tau217: AUC, 0.88 [95% CI, 0.80-0.96]; CSF p-tau181/Aβ42: AUC, 0.89 [95% CI, 0.79-1.00]; CSF Aβ40/42: AUC, 0.85 [95% CI, 0.72-0.98]). Among 9 brain donors, 6 had CTE (stages II-IV; none with Alzheimer disease). Seven had negative or intermediate p-tau217, concordant with Aβ-PET. Two p-tau217 outliers with stage III CTE had normal concentrations upon additional testing. Conclusions and Relevance The findings of this study suggest that plasma p-tau217 concentration is unlikely to be useful for the detection of CTE, but it does show utility for ruling out Aβ pathology in participants at risk for CTE.
International development of a lupus-specific instrument to assess cognitive symptoms in patients with SLE: Lupus Brain Fog Severity Scale (LBFSS) study
Arnaud, Laurent , Piga, Matteo , Pons‐Estel, Guillermo , Fuentes-Silva, Yurilis J, Devilliers, H. , Faria, Raquel , Duarte‐García, Alí , Oliveira, Daniel G , Leuven, Sander van, Smith, Eve, Appenzeller, Simone , Padjen, I, Petri, Michelle , Bortoluzzi, Alessandra, Mackay, Meggan, Kleitz, Catherine, Philippi, Nathalie , Karakikla-Mitsakou, Z. , Ribeiro, Sofia Silva, Sluijmers, Annemarie, Sturiene, Aldevina, Pons-Estel, Guillermo , Petri, Michelle , Parodis, Ioannis , Fanouriakis, Antonis , Knight, Andrea M , Hoi, Alberta , Touma, Zahi , Duarte-García, Alí , Piga, Matteo , Fuentes-Silva, Yurilís , Scolnik, Marina , Leuven, Sander I. van , Padjen, Ivan , Bortoluzzi, Alessandra , Parodis, Ioannis , Mackay, Meggan C. , Parlindungan, Faisal , Monticielo, Odirlei André , Silva-Ribeiro, Sofia

Lupus Science & Medicine | July 13, 2026 | Volume: 13 | Issue: 2 | Pages: e002148

10.1136/lupus-2026-002148 | PMID 42442803 Get It

Introduction Cognitive symptoms such as ‘brain fog’ are frequent and disabling in patients with SLE. We aimed to develop and validate the Lupus Brain Fog Severity Scale (LBFSS), the first patient-reported outcome measure (PROM) for cognitive symptoms in SLE. Methods The LBFSS was developed using a multi-step international approach involving healthcare professionals and patients with SLE. Patients provided free-text descriptions of brain fog, generating candidate domains through thematic analysis (step 1). Domains were rated for relevance (step 2) and those retained converted into self-assessable items (step 3). The pilot LBFSS was iteratively refined (step 4). The finalised LBFSS was validated (step 5) in a large international SLE cohort. Psychometric evaluation included internal consistency, exploratory factor analysis and assessment of construct, convergent, known-groups and criterion-related validity. Results In step 1, 147 SLE participants across 39 countries generated 21 domains for cognitive symptoms, of which 13 were retained in consensus (step 2), converted into self-assessable items (step 3) and iteratively refined using patient and physician feedback. In step 5, validation of the LBFSS instrument in 378 patients from 36 countries demonstrated high internal consistency (Cronbach’s α=0.95) and a unidimensional structure explaining 62.2% of variance. LBFSS scores were significantly higher in participants reporting brain fog (p<0.0001), confirming known-group validity. Construct validity was supported by significant correlations with functional impact and symptom severity (ρ=0.46–0.65, p<0.0001), strong convergent validity with the Perceived Deficits Questionnaire-20 (ρ=0.84, p<0.0001) while the discriminative performance for presence versus absence of self-reported brain fog was high (area under the curve=0.85). Conclusion The LBFSS is a new, valid and feasible PROM to assess brain fog and cognitive symptoms in SLE.
Longitudinal Analysis of Heparin-Binding Protein (HBP) and Serum Amyloid a Protein (SAA) Versus Interleukin 6 (IL-6), C-Reactive Protein (CRP), and Procalcitonin (PCT) During Both the Acute Postoperative Period and Recovery at Three Months From Non-emergen
Laudański, Krzysztof , Ahmed, Ahmed Sayed, Mahmoud, Mohamed A., Gad, Hossam , Harris, Benjamin R.E., Smith, Ryan, Zhu, Dandan, Elgazar, Abdelhamed , Vasishta, Anil, Ognjen, Gajic, Diedrich, Daniel A. , Crestanello, Juan, Smith, Ryan J. , Gad, Hossam , Mahmoud, Mohamed A. , Harris, Benjamin R.E.

Clinical Medicine Insights: Cardiology | July 11, 2026 | Volume: 20 | Issue: No issue available | Pages: No page available

10.1177/11795468261462607 | PMID 42436667 Get It

Variability in novel inflammatory markers (HBP and SAA) post-surgery could indicate ongoing perioperative inflammation. This pilot cohort study collected blood from 99 patients undergoing elective cardiac surgery at baseline, 24 hours, 7 days, and 3 months post-surgery. Inflammatory markers (HBP, SAA, PCT, CRP, IL-6) were measured with a point-of-care device. Demographic and clinical data were extracted from health records. Serum SAA increased significantly in the acute postoperative phase (M e [IQR];SAA baseline =81.1[87] vs SAA 24hr= 232.65[88.02];U[72]=2343,p<0.0001), remained elevated at 7 days (Me 7d =252.6[88.56];U[57]=1484,p<0.0001) and were still more pronounced than baseline at t 3m (Me 3m =118.44[101.52];U[38]=448,p=0.0008). HBP showed a significant rise at seven days (HBP baseline =45[26;89] vs HBP 7d =121[69.75;224.5]; U[56]=805,p<0.0001) then returned to near baseline by t 3m (Me 3m =32.5[15.75;98.5]). Traditional inflammatory markers PCT, CRP, and IL-6 demonstrated a rapid increase at t 24h and plateaued at t 7d . None of the biomarkers showed variability at baseline or postoperatively with preoperative status or postoperative complications. Cluster analysis of the inflammatory markers at 24 hours (t 24h ) identified distinct subgroups. Cluster #1-patients with a modest increase in all markers; Cluster#2 characterized with a robust increase in IL-6; Cluster #3 showed increase in CRP and decline in HBP; Cluster #4 showed a modest increase in IL-6 and decline in HBP; Cluster #5 represented a decline in both CRP and SAA. Patients in these clusters differ with respect to age, pre-existing peripheral artery disease, and borderline differences in perioperative acetaminophen use. SAA and HBP remain elevated longer than IL-6, CRP, and PCT after surgery, suggesting that inflammation may persist beyond 3 months.