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Molecular Profiling of Olfactory Neuroblastoma Using the AACR Project GENIE Database
Hsia, Beau , Dongre, Roshan , Erquizi, Aya, Guerra-Navarro, Paula V., Bitar, Gabriel , Alshaka, Saif, Kim, Jeeho D. , Valencia-Sanchez, Bastien A., Levy, Michael L. , Hsia, Beau , Guerra-Navarro, Paula Valeria, Valencia-Sanchez, Bastien A., Brandel, Michael G. , Sato, Mariko , Crawford, John Ross , Patel, Vijay A. , Polster, Sean P.

Journal of Neurological Surgery Part B: Skull Base | June 18, 2025 | Volume: 87 | Issue: 03 | Pages: 330-336

10.1055/a-2639-5690 | PMID 42095028 Get It

Abstract Olfactory neuroblastoma (ONB) is a rare head and neck cancer arising from the upper nasal cavity, with limited systemic therapeutic options due to a poor understanding of its genomic landscape. This study aims to utilize a patient-level genomic repository to identify potential therapeutic targets and improve disease modeling in ONB. Retrospective genomic analysis. Data analysis was performed using the American Association for Cancer Research (AACR) Project Genomics Evidence Neoplasia Information Exchange (GENIE) database. Patients with confirmed ONB who have undergone targeted sequencing within GENIE. Data were analyzed for recurrent somatic mutations, along with their clinical and demographic correlations, with significance set at p < 0.05. A high prevalence of mutations in TP53 (tumor protein p53) and FRK (fibroblast growth factor receptor kinase) genes was identified. A moderate prevalence of mutations in NOTCH3 (notch receptor 3), SMARCA4 (SWI/SNF related, matrix associated, actin dependent regulator of chromatin, subfamily A, member 4), RET (rearranged during transfection), and CTCF (CCCTC-binding factor) was also identified. The mutation patterns differed between pediatric and adult ONB cases. Specific mutations were enriched in metastatic tumors compared with primary tumors. This study provides a genomic profile for ONB, identifying key mutations and potential therapeutic targets. The identification of frequently mutated genes like TP53 and FRK suggests potential targets for novel therapies. The observation that certain genes are mutated in pediatric ONB but not adult ONB (and vice versa), and the presence of specific mutations in metastatic tumors that are absent in primary tumors, offers valuable insights for future precision medicine and the design of targeted therapeutic interventions for these distinct clinical presentations.
Comparative effectiveness of second‐line treatments for epileptic spasms
Barbour, Kristen , Hussain, Shaun A. , Knupp, Kelly G. , Chu, Catherine J. , Coryell, Jason , Fernández, Iván Sánchez , Gaillard, William D. , Harini, Chellamani , Keator, Cynthia, Mitchell, Wendy G. , Mytinger, John R. , Nordli, Douglas R. , Shellhaas, Renée A. , Singhal, Nilika S. , Valencia, Ignacio , Wusthoff, Courtney J. , Chu, Catherine J , Coryell, Jason , Gaillard, William D , Mytinger, John R , Patel, Anup D , Shellhaas, Renée A , Wirrell, Elaine C , Wusthoff, Courtney J , Yozawitz, Elissa G , Grinspan, Zachary , Hussain, Shaun A , Knupp, Kelly G , Berg, Anne T. , Loddenkemper, Tobias , Patel, Anup D. , Wirrell, Elaine , Yozawitz, Elissa , Grinspan, Zachary M.

Epilepsia | June 18, 2025 | Volume: 66 | Issue: 10 | Pages: 3799-3809

10.1111/epi.18511 | PMID 40528701 Get It

Abstract Objective This study was undertaken to evaluate the response to second treatments for infantile epileptic spasms syndrome (IESS). Methods Infants aged 2–24 months with IESS were prospectively enrolled in the National Infantile Spasms Cohort study at 21 pediatric epilepsy centers in the United States from 2012 to 2018. We analyzed data from infants who initially received standard treatment (hormonal therapy [adrenocorticotropic hormone, high‐dose prednisolone] or vigabatrin), had continued or recurring epileptic spasms, and received a second treatment. We excluded those with tuberous sclerosis. Treatment groups included hormonal therapy followed by vigabatrin (reference), hormonal‐to‐hormonal, hormonal‐to‐nonstandard, vigabatrin‐to‐hormonal, and vigabatrin‐to‐nonstandard. Nonstandard treatments included other antiseizure medications and dietary therapy. Treatment groups were tested for differences in 3‐month clinical remission using a binary logistic regression to estimate odds ratios (ORs). Results There were 153 infants with IESS who received second treatments. The highest rates of 3‐month remission were among infants in the hormonal‐to‐vigabatrin (22/65, 34%) and vigabatrin‐to‐hormonal (9/26, 35%) groups, followed by vigabatrin‐to‐nonstandard (3/10, 30%), hormonal‐to‐hormonal (4/22, 18%), and hormonal‐to‐nonstandard (1/30, 3.3%). Compared to the hormonal‐to‐vigabatrin group (reference), fewer infants had remission in the hormonal‐to‐nonstandard group (OR = .07, 95% confidence interval [CI] = .01–.53), and there was a trend toward fewer infants in the hormonal‐to‐hormonal group (OR = .43, 95% CI = .13–1.4, p = .17). Following initial hormonal treatment, the number needed to treat was three infants for one additional infant to have remission when treated with vigabatrin compared to nonstandard therapy as the second treatment. Significance This updated analysis with an expanded sample size provided power for additional subgroup analysis. Overall response rates were low, and at best only one third had remission after second treatment. Results support a clinical strategy of switching mechanism of action when selecting a second medication for epileptic spasms (i.e., use vigabatrin after hormonal therapy, or hormonal therapy after vigabatrin). Our findings also support the use of standard over nonstandard therapies.
Immune Subtyping Identifies Patients With Hormone Receptor–Positive Early-Stage Breast Cancer Who Respond to Neoadjuvant Immunotherapy (IO): Results From Five IO Arms of the I-SPY2 Trial
Wolf, Denise M. , Yau, Christina , Glas, Annuska M. , Barcaru, Andrei, Kuilman, Midas M. , Swigart, Lamorna Brown , Hirst, Gillian L. , Basu, A. , Magbanua, Mark Jesus M. , Sayaman, Rosalyn W. , Huppert, Laura A. , Investigators, I-SPY2, Borowsky, Alexander D. , Pohlmann, Paula R. , Clark, Amy S. , Yee, Douglas , Perlmutter, Jane , Petricoin, Emanuel F. , Chien, A. Jo , Stringer-Reasor, Erica , Liu, Minetta C. , Nanda, Rita , Veer, Laura van ‘t , Melisko, Michelle , Albain, Kathy S. , Robinson, Patricia A. , Lo, Simon S. , Potter, David J. , Beckwith, Heather , Haddad, Tufia C. , Kemmer, Kathleen, Lu, Janice , Williams, Nicole , Ellis, Erin D. , Sanford, Amy, Sanft, Tara, Viscusi, Rebecca K., Arora, Mili, Northfelt, Donald W. , Haley, Barbara , Yung, Rachel L. , Mayer, Ingrid, Khan, Qamar J. , Edmiston, Kirsten K., Glas, Annuska , Mittempergher, Lorenza , Brown-Swigart, Lamorna , Hirst, Gillian L , Basu, Amrita , Magbanua, Mark J M , Sayaman, Rosalyn , Huppert, Laura , Delson, Amy , Symmans, W Fraser , Pohlmann, Paula , Rugo, Hope S , Clark, Amy S , Yee, Douglas , DeMichele, Angela , Petricoin, Emmanuel F , Chien, Jo , Stringer-Reasor, Erica , Shatsky, Rebecca , Liu, Minetta , Soliman, Hatem Hussein , Isaacs, Claudine , Nanda, Rita , Hylton, Nola M. , Pusztai, Lajos , Esserman, Laura J , Veer, Laura J. van’t , Campbell, Michael, Investigators, I-SPY2, Symmans, W. Fraser , Rugo, Hope S. , DeMichele, Angela , Shatsky, Rebecca , Han, Hyo S , Isaacs, Claudine , Pusztai, Lajos , Esserman, Laura J. , Mukhtar, Rita A. , Wallace, Anne M. , Yeung, Kay T. , Olopade, Olufunmilayo I. , Potter, David, Blaes, Anne , Boughey, Judy C. , Elias, Anthony , Mitri, Zahi Ibrahim , Lang, Julie E. , Thomas, Alexandra , Trivedi, Meghna S. , Hershman, Dawn L. , Meisel, Jane Lowe , Kalinsky, Kevin M. , Vaklavas, Christos , Sanft, Tara , Arora, Mili, Falkson, Carla I. , Murthy, Rashmi Krishna

JCO Precision Oncology | June 17, 2025 | Volume: No volume available | Issue: 9 | Pages: No page available

10.1200/po-24-00776 | PMID 40526879 Get It

PURPOSE Neoadjuvant immunotherapy (IO) has become the standard of care for early-stage triple-negative breast cancer (TNBC), but not yet for other subtypes. We previously developed a clinical-grade mRNA-based immune classifier (ImPrint) predicting response to IO that is now being used in I-SPY2.2 as part of the response predictive subtypes. We report the performance of ImPrint in hormone receptor–positive and human epidermal growth factor receptor 2–negative (HR+HER2–) patients from five IO arms. METHODS A total of 204 HR+HER2– (MammaPrint high-risk) patients from five IO arms (anti–PD-1, anti–PD-L1/poly [ADP-ribose] polymerase inhibitor combination, anti–PD-1/toll-like receptor 9 dual-IO combination, and anti–PD-1 ± lymphocyte activation gene 3 dual-IO combination) and 191 patients from the chemotherapy-only control arm were included in this analysis. Patients were classified as ImPrint+ (likely sensitive) versus ImPrint– (likely resistant), using pretreatment mRNA. Performance of ImPrint for predicting pathologic complete response (pCR) to IO-containing arms was characterized and compared with tumor grade (III), MammaPrint (ultra) High2 risk (MP2), and estrogen receptor (ER)-low (ER ≤ 10%). RESULTS Overall, the pCR rate across the five IO arms was 33%. 26% of HR+HER2– patients were ImPrint+, and pCR rates with IO were 75% in ImPrint+ versus 17% in ImPrint–, with the highest pCR rate >90% in a dual-IO arm. In the control arm, pCR rates were 33% in ImPrint+ and 8% in ImPrint–. Tumor grade (III), MP2, and ER-low showed pCR rates in IO of 45%, 56%, and 63%, respectively, with lower pCR odds ratios (OR < 7.5) compared with ImPrint (OR = 14.5). CONCLUSION Using an accurate selection strategy, HR+HER2– patients could achieve pCR rates similar to what is seen with best neoadjuvant therapies in TNBC and HER2+ (ie, pCR rate >65%-70%). ImPrint, an Food and Drug Administration IDE-enabled assay, may represent a way to identify HR+HER2– patients for IO that best balances likely benefit versus risk of serious immune-related adverse events.
Developing and sustaining inclusive language in biomedical informatics communications: an AMIA Board of Directors endorsed paper on the Inclusive Language and Context Style Guidelines
Walk, Oliver Bear Don’t, Haldar, Shefali , Wei, Duo, Huang, Hu , Keloth, Vipina K. , Leung, Tiffany I. , Desai, Pooja , Korngiebel, Diane M. , Wiley, Laura K. , Ogunyemi, Omolola , Dirks, Lisa G. , Kronk, Clair , Martin, Krista, Anand, Tara V. , Volpe, Salvatore G, Yung, Nathan , Lucero, Robert , Bright, Tiffani J , Walk, Oliver J. Bear Don’t , Fan, Jungwei , Keloth, Vipina K , Desai, Pooja , Grossman Liu, Lisa , Pichon, Adrienne , Subbian, Vignesh , Solomonides, Anthony E , Wiley, Laura K , Ogunyemi, Omolola , Iott, Bradley , Kronk, Clair , Foraker, Randi , Anand, Tara , Bear Don't Walk Iv, Oliver J , Rivera, Rebecca L. , Fan, Jungwei , Subbian, Vignesh , Solomonides, Anthony , Jackson, Gretchen Purcell , Dankwa‐Mullan, Irene , Everhart, Avery , Parker, Andrea G. , Foraker, Randi E. , Volpe, Salvatore G, Rizvi, Rubina F

Journal of the American Medical Informatics Association | June 16, 2025 | Volume: 32 | Issue: 8 | Pages: 1380-1387

10.1093/jamia/ocaf096 | PMID 40523007 Get It

Abstract Objectives In 2023, AMIA’s Inclusive Language and Context Style Guidelines (the “Guidelines”) were approved by the Board of Directors and made a publicly available resource. This work began in 2021 through AMIA’s DEI Task Force and subsequent DEI Committee; many members provided input, feedback, and time to create the Guidelines. In this paper, the authors provide a transparent account of the origin, development, contents, and dissemination of the Guidelines and share plans for their future development and use. Materials and Methods Our approach to drafting, refining, and distributing the Guidelines included consulting existing language guides, AMIA member reviews, external expert reviews, webinars, and workshops. Through an iterative approach to drafting and refining the Guidelines, the authors consulted relevant language guidelines and many experts throughout and beyond the AMIA community. Results The Inclusive Language Context Guidelines were formally approved by the AMIA Board of Directors on February 15, 2023. The Guidelines included four principles to be considered in scientific communications: Plurality, Precision, Transparency, and Destigmatization. Discussion A moment of vulnerability where an AMIA member raised concerns about the use of harmful language during a presentation resulted in the creation of a principled approach to support inclusive language within biomedical and health informatics communications. We envision that the Guidelines will support health equity by challenging dominant public narratives around health, fostering stronger interdisciplinary collaboration and critical thinking about the impact of language, and creating a more welcoming environment for the broader AMIA community. This work could not have been completed without the support of many AMIA members and other researchers in biomedical and health informatics. The Guidelines are a living document that will continue to be updated with input and feedback from the AMIA community into the future.
Frequency and Clinical Outcomes Associated With Tau Positron Emission Tomography Positivity
Raghavan, Sheelakumari, Costoya‐Sánchez, Alejandro , Mainta, Ismini , Rodríguez-Fonseca, Omar Darío, Perissinotti, Andrés , Gu, Yuna , Yun, Jihwan, Peretti, Débora Elisa , Aguiar, Pablo , Bischof, Gérard N. , Seo, Sang Won , Villeneuve, Sylvia , O’Brien, John T. , Jagust, William, Frisoni, Giovanni B. , Soleimani‐Meigooni, David N. , Carrillo, Marı́a C., Joie, Renaud La , Rabinovici, Gil D. , Apostolova, Liana G. , Pontecorvo, Michael J. , Johnson, Keith A. , Weiner, Michael W. , Petersen, Ronald C., Jack, Clifford R. , Schöll, Michael , Labonté, Anne , Faubert, Anne‐Marie, Mathieu, Axel, Madjar, Cécile , Carrier, Charles Edouard, Kazazian, Christina, Lepage, Claude, Maillet, David , Michaud, Diane, Couture, Doris, Dea, Doris, Courcot, Blandine, Debacker, Clément , Fontaine, David, Knopman, David S. , Multhaup, Gerhard, Maltais, Jean‐Robert, Breitner, John C.S. , Poirier, Judes, Cheewakriengkrai, Laksanun, Sager, Mark A., Dauar‐Tedeschi, Marina, Rajah, Natasha, Aisen, Paul, Toussaint, Paule‐Joanne , Pierre, Bellec, Kostopoulos, Penelope, Étienne, Pierre , Tariot, Pierre N. , Orban, Pierre , Hoge, Rick, Thomas, Ronald J. , Gauthier, Serge , Craft, Suzanne , Montine, Thomas J. , Nair, Vasavan, Bohbot, Véronique D. , Venugopalan, Vinod, Ituria‐Medina, Yasser, Khachaturian, Zaven S., Teigner, Eduard, Anthal, Elena, Yu, Elsa, Ferdinand, Fabiola, Pogossova, Galina, Mayrand, Ginette, Duclair, Guerda, Gagné, Guylaine, Newbold‐Fox, Holly, Leppert, Illana, Tremblay‐Mercier, Jennifer , Frenette, Joanne, Frappier, Josée, Kat, Justin, Miron, Justin , Wan, Karen, Mahar, Laura, Carmo, Leopoldina, Théroux, Louise, Dufour, Marianne, Lafaille‐Magnan, Marie‐Élyse, Savard, Mélissa, Tuwaig, Miranda, Petkova, Mirela, Rioux, Pierre, Meyer, P.T., El‐Khoury, Rana, Gordon, Renee, Giles, Renuka, Das, Samir, Wang, Seqian, Tabrizi, Shirin , Mathotaarachchi, Sulantha , Dubuc, Sylvie, Lee, Tanya , Beaudry, Thomas, Gervais, Valérie, Pagé, Véronique, Desautels, René, Benbouhoud, Fatiha, Saint‐Fort, Eunice Farah, Verfaillie, Sander C.J. , Farzin, Sarah , Salaciak, Alyssa , Tullo, Stéphanie , Daoust, Leslie‐Ann, Köbe, Theresa , McSweeney, Melissa, Nilsson, Nathalie , Pishnamazi, Morteza, Bedetti, Christophe , Hudon, Louise, Greco, Claudia, Chapleau, Marianne , St‐Onge, Frédéric , Boutin, Sophie , Geddes, Maiya R. , Ducharme, Simon , Jean, Gabriel, Sylvain, Elisabeth, Élie, Marie‐Josee, Leblond‐Baccichet, Gloria, Soucy, Jean‐Paul , Ozlen, Hazal , Bailly, Julie, Mohammediyan, Béry, Chen, Yalin , Remz, Jordana, Rentz, Dorene M., Amariglio, Rebecca E. , Blacker, Deborah , Chhatwal, Jasmeer P. , Dickerson, Brad C., Donovan, Nancy J. , Farrell, Michelle E. , Gómez, Cristina Lois, Marshall, Gad A. , Oaoo, Kate, Price, Julie, Prokopiou, Prokopis C. , Reynolds, Gretchen , Skylar-Scott, Irina A., Vila‐Castelar, Clara , Yang, Hyun‐Sik , Trojanowki, John Q., Green, Robert C, Perrin, Richard J. , Shaw, Leslie M. , Potter, William Z. , Bernard, Marie , Jackson, Jonathan, Masliah, Eliezer , Masterman, Donna, Okonkwo, Ozioma, Ryan, Laurie, Silverberg, Nina, Fleisher, Adam , Fockler, Juliet , Conti, Cat, Jin, Chengshi , Nosheny, Rachel L. , Ashford, Mariam, Flenniken, Derek , Kormos, Adrienne, Montine, Tom, Rafii, Michael, Raman, Rema , Gessert, Devon, Salazar, Jennifer, Zimmerman, Caileigh, Cabrera, Yuliana, Walter, Sarah , Miller, Garrett, Coker, Godfrey, Clanton, Taylor, Hergesheimer, Lindsey, Smith, Stephanie , Adegoke, Olusegun, Mahboubi, Payam, Moore, Shelley, Pizzola, Jeremy, Shaffer, Elizabeth , Harvey, Danielle, Forghanian-Arani, Arvin, Borowski, Bret, Ward, Chad, Gunter, Jeff, Kantarci, Kejal, Thompson, Paul , Jahanshad, Neda , DeCarli, Charles , Knaack, Alexander , Fletcher, Evan, Chen, Stephanie R, Choe, Mark, Crawford, Karen , Yuschkevich, Paul A, Reiman, Eric M. , Mathis, Chet, Landau, Susan , Cairns, Nigel J. , Householder, Erin, Franklin, Erin , Bernhardt, Haley, Taylor‐Reinwald, Lisa, Korecka, Magdalena , Figurski, Michal, Neu, Scott, Nho, Kwangsik, Foroud, Tatiana M., Faber, Kelley , Wilmes, Kristi, Thal, Leon J., Dage, Jeffrey L. , Eloyan, Ani , Hammers, Dustin B. , Kirby, Kala, Kramer, Joel, Legarde, Julien, Murray, Melissa E., Newell, Kathy L. , Taurone, Alexander, Thangarajah, Maryanne, Touroutoglou, Alexandra , Clark, David , Day, Gregory S, Duara, Ranjan , Graff-Radford, Neill R, Grant, Ian , Masdeu, Joseph C. , Mendez, Mario F. , Onyike, Chiadi U. , Riddle, Meghan , Rogalskı, Emily , Salloway, Steven, Sha, Sharon J. , Carrillo, María C. , O'Brien, John Tiernan , Jack, Clifford R , Schöll, Michael , La Joie, Renaud , Rabinovici, Gil D , Dage, Jeffrey L , Rial, Alexis Moscoso , Heeman, Fiona , Raghavan, Sheelakumari , Essen, Martijn van , Camacho, Valle , Silva‐Rodríguez, Jesús , Ribaldi, Federica , Coomans, Emma M. , Brum, Wagner Scheeren , Grothe, Michel J. , Drzezga, Alexander E. , Malpetti, Maura , Rowe, James B. , Giessen, Elsmarieke van de , Ossenkoppele, Rik , Smith, Ruben , Hansson, Oskar , Garibotto, Valentina , Dickerson, Bradford Clark , LaMontagne, Pamela , Sperling, Reisa Anne , Vemuri, Prashanthi , Tam, Angela , Binette, Alexa Pichet , Dansereau, Christian , Picard, Cynthia , Michaud, Diane, Couture, Doris, Cuello, A. Claudio , Barkun, Alan , Evans, Alan Charles , Tardif, Christine Lucas , Knopman, David S. , Near, Jamie , Leoutsakos, Jeannie‐Marie , Brandt, Jason , Pruessner, Jens C. , Morris, John C. , Collins, D. Louis , Chakravarty, M. Mallar , Eisenberg, Mark Jeffrey , Rajah, Maria Natasha , Rosa-Neto, Pedro , Bellec, Pierre , Thomas, Ronald, Fonov, Vladimir , Vallee, Isabelle, Vogel, Jacob W. , Dadar, Mahsa , Appleby, Melissa , Meyer, Pierre‐François, Gonneaud, Julie , Pascoal, Tharick Ali , Vachon‐Presseau, Étienne , Spreng, R. Nathan , Rentz, Dorene M. , Buckley, Rachel F. , Gagliardi, Geoffroy Pierre , Gatchel, Jennifer R. , Guzmán‐Vélez, Edmarie , Jacobs, Heidi I.L. , Jutten, Roos J. , Pardilla‐Delgado, Enmanuelle , Price, Julie C. , Quiroz, Yakeel T. , Schultz, Aaron P. , Schultz, Stephanie A. , Sepulcre, Jorge , Vannini, Patrizia , Toga, Arthur W. , Beckett, Laurel , Saykin, Andrew J. , Potter, William, Barnes, Lisa L. , Gonzalez, Hector, Ho, Carole , Hsiao, John , Jackson, Jonathan , Veitch, Dallas P. , Neuhaus, John M , Rafii, Michael S. , Jimenez‐Maggiora, Gustavo Adolfo , Donohue, Michael , Arani, Arvin , Schwarz, Christopher G. , Jones, David T. , Kantarci, Kejal , Senjem, Matthew L. , Reid, Robert I. , Fox, Nick C. , Malone, Ian B. , Thomopoulos, Sophia I. , Nir, Talia M. , Tosun, Duygu , Das, Sandhitsu R. , Koeppe, Robert A. , Chen, Kewei , Risacher, Shannon L. , Shen, Li , Nudelman, Kelly , Ghetti, Bernardino , Grinberg, Lea T. , Hammers, Dustin B , Kirby, Kala, Kukull, Walter A. , Murray, Melissa E. , Polsinelli, Angelina J. , Atri, Alireza , Duara, Ranjan , Graff‐Radford, Neill R. , Honig, Lawrence S. , Johnson, Erik C. B. , Masdeu, Joseph C , Musiek, Erik , Salloway, Steve , Turner, Raymond Scott , Wingo, Thomas S , Wolk, S. J. , Womack, Kyle

JAMA | June 16, 2025 | Volume: 334 | Issue: 3 | Pages: 229

10.1001/jama.2025.7817 | PMID 40522652 Get It

Importance Tau positron emission tomography (PET) allows in vivo detection of neurofibrillary tangles, a core neuropathologic feature of Alzheimer disease (AD). Objective To provide estimates of the frequency of tau PET positivity and its associated risk of clinical outcomes. Design, Setting, and Participants Longitudinal study using data pooled from 21 cohorts, comprising a convenience sample of 6514 participants from 13 countries, collected between January 2013 and June 2024. Cognitively unimpaired individuals and patients with a clinical diagnosis of mild cognitive impairment (MCI), AD dementia, or other neurodegenerative disorders were included. Exposures Tau PET with flortaucipir F 18, amyloid-β (Aβ) PET, and clinical examinations. Tau PET scans were visually rated as positive according to a US Food and Drug Administration– and European Medicines Agency–approved method, designed to indicate the presence of advanced neurofibrillary tangle pathology (Braak stages V-VI). Main Outcomes and Measures Frequency of tau PET positivity and absolute risk of clinical progression (eg, progression to MCI or dementia). Results Among the 6514 participants (mean age, 69.5 years; 50.5% female), median follow-up time ranged from 1.5 to 4.0 years. Of 3487 cognitively unimpaired participants, 349 (9.8%) were tau PET positive; the estimated frequency of tau PET positivity was less than 1% in those aged younger than 50 years, and increased from 3% (95% CI, 2%-4%) at 60 years to 19% (95% CI, 16%-24%) at 90 years. Tau PET positivity frequency estimates increased across MCI and AD dementia clinical diagnoses (43% [95% CI, 41%-46%] and 79% [95% CI, 77%-82%] at 75 years, respectively). Most tau PET–positive individuals (92%) were also Aβ PET positive. Cognitively unimpaired participants who were positive for both Aβ PET and tau PET had a higher absolute risk of progression to MCI or dementia over the following 5 years (57% [95% CI, 45%-71%]) compared with both Aβ PET–positive/tau PET–negative (17% [95% CI, 13%-22%]) and Aβ PET–negative/tau PET–negative (6% [95% CI, 5%-8%]) individuals. Among participants with MCI at the time of the tau PET scan, an Aβ PET–positive/tau PET–positive profile was associated with a 5-year absolute risk of progression to dementia of 70% (95% CI, 59%-81%). Conclusions and Relevance In a large convenience sample, a positive tau PET scan occurred at a nonnegligible rate among cognitively unimpaired individuals, and the combination of Aβ PET positivity and tau PET positivity was associated with a high risk of clinical progression in both preclinical and symptomatic stages of AD. These findings underscore the potential of tau PET as a biomarker for staging AD pathology.
296 | LIMITED STAGE DIFFUSE LARGE B CELL LYMPHOMA IN THE MODERN ERA: REAL‐WORLD OUTCOMES IN AN INTERNATIONAL STUDY OF OVER ONE THOUSAND PATIENTS
Loh, Zoe , Khurana, Arushi , Puckrin, Robert , Friedberg, Jonathan W. , Hapgood, Greg , Saleh, MN, Fletcher, Cherise, Thordardottir, Thorunn Halldora, Villa, Diego , Sehn, L. H., Ravindra, Aditya, Farooq, Umar , Danilov, Alexey V. , Ku, Matthew , Walker, S. , Churilov, Leonid , Ku, Matthew , Johns, Hannah Tabitha , Paludo, Jonas , Stephens, Deborah M. , Bishton, Mark , Saleh, M., Fletcher, C., Ravindra, Aditya , Farooq, U., Lewis, Katharine L. , Cheah, Chan Y. , Hawkes, Eliza A. , Barraclough, Allison

Hematological Oncology | June 16, 2025 | Volume: 43 | Issue: S3 | Pages: No page available

10.1002/hon.70094_296 Get It

The Society of Pediatric Liver Transplantation ( SPLIT ): 2023 Registry Status
Banc‐Husu, Anna M. , Smith, Rachel , Kelly, Beau , Anand, Ravinder , Anderson, Sarah G. , Lobritto, Steven , Chapin, Catherine A. , Chartier, Marie‐Eve , Ekong, Udeme D. , Furuya, Katryn N. , García, Jennifer , González‐Peralta, Regino P. , Ibrahim, Samar H. , Kerkar, Nanda , Leung, Daniel H. , Ng, Vicky L. , Pai, Anita K., Pan, Debra H. , Shakhin, Victoria , Stoll, Janis , Wadera, Sheetal, Squires, James E. , (SPLIT), the Society of Pediatric Liver Transplantation, Lobritto, Steve , Elisofon, Scott A , Feldman, Amy , Gutierrez Sanchez, Luz Helena , Hildreth, Amber N , Himes, Ryan , Ibrahim, Samar H , Kerkar, Nanda , Leung, Daniel H , Mazareigos, George , Ng, Vicky L , Peters, Anna L , Shakhin, Victoria , Hsu, Evelyn , Squires, James E , Valentino, Pamela , Society of Pediatric Liver Transplantation (SPLIT) , Sanchez, Luz Helena Gutierrez , Hildreth, Amber , Jain, Ajay K. , Mazariegos, George , Valentino, Pamela L. , (SPLIT), the Society of Pediatric Liver Transplantation

Pediatric Transplantation | June 16, 2025 | Volume: 29 | Issue: 5 | Pages: No page available

10.1111/petr.70111 | PMID 40522021 Get It

ABSTRACT Background The Society of Pediatric Liver Transplantation (SPLIT) has undergone tremendous growth with > 45 sites contributing data focusing on improving outcomes in pediatric liver transplantation (LT). We report and compare outcomes from the SPLIT Registry. Methods Patients < 18 years with first‐time LT only enrolled into the SPLIT Registry between 2011 and 2023 were included. Data was stratified into eras from the last published registry update (era 1: 2011–2018, era 2: 2018–2023). Results Three thousand five hundred four participants from 47 centers were included (era 1: n = 2159; era 2: n = 1345). Age distribution differed with more children < 1 year. of age at LT in era 2 (era 1: 29% vs. era 2: 33%, p = 0.01). Indications for LT were similar, with biliary atresia (38.8%) and metabolic disease (16.0%) being most common. Exception point use was higher in era 2 (era 1: 45% vs. era 2: 56%, p < 0.001). No difference in graft type (deceased: 81% era 1 vs. 78% era 2, p = 0.78), patient survival at 90 days (era 1: 98.7% vs. era 2: 98.3%), 1 year (era 1: 97.2 vs. era 2: 96.8%), or 3 years (era 1: 95.3% vs. era 2: 95.2%) was noted. Rate of hepatic artery thrombosis was lower in era 2 (era 1: 7% vs. era 2: 5%, p = 0.02). Conclusions Trends in pediatric LT within SPLIT note similar LT indications and graft type, higher utilization of exception points, and lower HAT rates despite transplanting more children < 10 kg. This data underscores the evolution of pediatric LT toward higher survivability and overall patient outcomes.
Complex Single-Stage Juvenile Nasopharyngeal Angiofibroma Resection: A Hybrid Pediatric Endoscopic Endonasal and Transmaxillary Approach
Valencia, Bastien A. , Plata, Hector Fuentes, Kim, Jeeho D. , Levy, Danielle, Nation, Javan , Pannell, J. Scott, Patel, Vijay A. , Levy, Michael L. , Valencia‐Sanchez, Bastien A. , Patel, Vijay A , Plata, Hector, Brandel, Michael G. , Lévy, Michaël

Operative Neurosurgery | June 16, 2025 | Volume: 30 | Issue: 5 | Pages: 740-744

10.1227/ons.0000000000001662 | PMID 40521907 Get It

BACKGROUND AND IMPORTANCE: Juvenile nasopharyngeal angiofibroma (JNA) is a rare, locally aggressive vascular tumor that primarily affect adolescent males. This work illustrates a step-by-step surgical approach of an advanced-stage JNA resection in a prepubescent 5-year-old child, utilizing a hybrid endoscopic endonasal and transmaxillary approach that provides highly effective results without employing traditional open techniques. CLINICAL PRESENTATION: A previously healthy 5-year-old male presented with one-year history of nasal obstruction, mouth breathing, and recurrent otitis media. The patient was found to have a large, space-occupying hypervascular tumor obstructing the nasopharynx. Preoperative radiographic imaging revealed an extensive heterogeneous, avidly enhancing mass that occupied the nasopharynx, right pterygopalatine fossa, infratemporal fossa, masticator space, and middle cranial fossa. Following superselective endovascular embolization, a hybrid endoscopic endonasal approach was planned for JNA resection, incorporating an anterior maxillotomy to allow for direct access to lateral compartments not classically amenable to conventional transnasal corridors. CONCLUSION: This study demonstrates the technical feasibility of a combined endoscopic endonasal and transmaxillary approach for single-stage JNA resection with intracranial extension in pediatric patients. Key principles include tumor embolization, dynamic endoscopic visualization, avoidance of brain retraction, direct access to critical neurovascular structures, and minimizing craniofacial morbidity.
Simulation‐free workflow for lattice radiation therapy using deep learning predicted synthetic computed tomography: A feasibility study
Yu, Nathan Y. , Ashman, Jonathan B. , Toesca, Diego Santos, Deufel, Christopher L. , Duan, Jingwei , Chen, Quan , Rong, Yi , Chen, Quan , Ahmed, Safia K. , Duan, Jingwei , Rong, Yi , Toesca, Diego A.S. , Zhu, Libing , Grams, Michael P.

Journal of Applied Clinical Medical Physics | June 12, 2025 | Volume: 26 | Issue: 7 | Pages: No page available

10.1002/acm2.70137 | PMID 40504103 Get It

Abstract Purpose Lattice radiation therapy (LRT) is a form of spatially fractionated radiation therapy that allows increased total dose delivery aiming for improved treatment response without an increase in toxicities, commonly utilized for palliation of bulky tumors. The LRT treatment planning process is complex, while eligible patients often have an urgent need for expedited treatment start. In this study, we aimed to develop a simulation‐free workflow for volumetric modulated arc therapy (VMAT)‐based LRT planning via deep learning‐predicted synthetic CT (sCT) to expedite treatment initiation. Methods Two deep learning models were initially trained using 3D U‐Net architecture to generate sCT from diagnostic CTs (dCT) of the thoracic and abdomen regions using a training dataset of 50 patients. The models were then tested on an independent dataset of 15 patients using image similarity analysis assessing mean absolute error (MAE) and structural similarity index measure (SSIM) as metrics. VMAT‐based LRT plans were generated based on sCT and recalculated on the planning CT (pCT) for dosimetric accuracy comparison. Differences in dose volume histogram (DVH) metrics between pCT and sCT plans were assessed using the Wilcoxon signed‐rank test. Results The final sCT prediction model demonstrated high image similarity to pCT, with a MAE and SSIM of 38.93 ± 14.79 Hounsfield Units (HU) and 0.92 ± 0.05 for the thoracic region, and 73.60 ± 22.90 HU and 0.90 ± 0.03 for the abdominal region, respectively. There were no statistically significant differences between sCT and pCT plans in terms of organ‐at‐risk and target volume DVH parameters, including maximum dose (Dmax), mean dose (Dmean), dose delivered to 90% (D90%) and 50% (D50%) of target volume, except for minimum dose (Dmin) and (D10%). Conclusion With demonstrated high image similarity and adequate dose agreement between sCT and pCT, our study is a proof‐of‐concept for using deep learning predicted sCT for a simulation‐free treatment planning workflow for VMAT‐based LRT.