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Bilateral Kienböck Disease: Associations With Demographic, Systemic, and Radiologic Findings
Emanuels, Andrew, Rames, Jess D. , Tunaboylu, Mehmet Furkan , Moran, Steve, Emanuels, Andrew F., Rames, Jess, Moran, Steven L

HAND | July 8, 2025 | Volume: 21 | Issue: 5 | Pages: 772-777

10.1177/15589447251350174 | PMID 40624876 Get It

Background: Kienböck disease most frequently affects 1 wrist and rarely occurs bilaterally. The purpose of this study is to describe the natural history and identify risk factors for development of bilateral Kienböck disease. Methods: After institutional review board approval, 350 patients with surgically managed Kienböck disease from 1976 to 2023 were identified. A retrospective review of the electronic medical record was used to collect demographic, clinical, and radiographic information. Two-tailed student t -test was used for continuous variable, and Fisher’s exact test was used for categorical variables with analysis of power. Results: Ten of 350 patients (2.9%) had bilateral disease. The mean age was 45 (range: 14-62) years, and 6 out of 10 patients were female. The mean follow-up time was 47 (range: 9-274) months. Three of the 10 patients were laborers. Antecedent trauma (n = 2), prior corticosteroid injection (n = 1), and concomitant autoimmune disease (n = 1) were rare events. There was no difference in Lichtman Stage comparing the dominant and nondominant hands, and 72.2% of wrists were ulnar negative. This was higher but not significantly different than the unilateral affected comparison cohort (60%). Sufficient power was demonstrated (0.99). Eighteen of 20 wrists were treated operatively. Two cases required operative revision due to progression of disease. Conclusions: The cause of bilateral versus unilateral Kienböck disease remains unclear. Bilateral disease was not associated with a higher incidence of autoimmune disease, systemic corticosteroid use, or exposure to heavy manual labor. However, thrombosis leading to avascular necrosis of the lunate may be influenced by hypercoagulable and inflammatory diseases. Surgeons should maintain a high index of suspicion for bilateral disease in patients with these comorbidities. Routine screening of the contralateral wrist is unjustified if the patient is asymptomatic.
Multicenter Retrospective Study of Stereotactic Radiosurgery for Gynecological Cancer Brain Metastases
Billau, Mathilde Djeneba, Hamel, Andréanne, Tourigny, Jean-Nicolas, Iorio‐Morin, Christian , Niranjan, Ajay , Wei, Zhishuo , Lunsford, L. Dade , Jose, Shalini, Scanlon, Sydney, Mullen, Reed, Bernstein, Kenneth , Phuong, Christina , Sheehan, Jason P. , Pikis, Stylianos , Kosyakovsky, Jacob, Prasad, Rahul N. , Icaza, Denisse Arteaga, Cifarelli, Daniel T. , Wegner, Rodney E. , Shepard, Matthew J., Bowden, Gregory, Wandrey, Narine , Rusthoven, Chad G. , Hintz, Eric , Schulder, Michael , Goenka, Anuj , Peterson, Jennifer , Mathieu, David , Liščák, Roman , May, Jaromír , Luy, Diego D. , Silverman, Joshua S. , Kondziolka, Douglas , Peker, Selçuk , Samancı, Yavuz , Braunstein, Steve , Palmer, Joshua D. , Bailey, David, Zacharia, Brad E. , Cifarelli, Christopher P. , Mathieu, David

Neurosurgery | July 7, 2025 | Volume: 98 | Issue: 1 | Pages: 194-203

10.1227/neu.0000000000003609 | PMID 40622139 Get It

BACKGROUND AND OBJECTIVES: Gynecological cancers represent 10% to 15% of cancers in women, but brain metastases (BM) are uncommon, with limited evidence regarding their management. This study investigates the role of stereotactic radiosurgery (SRS) for BM from primary gynecological cancers. METHODS: Institutions of the International Radiosurgery Research Foundation participated in this study. Inclusion criteria required histological diagnosis of epithelial ovarian, cervical, or endometrial cancer, SRS between 2000 and 2020, and at least 1 imaging or clinical follow-up. RESULTS: A total of 276 patients having SRS for 977 BM were included. Median age at SRS was 62 years (IQR, 55-70). Primary cancer origin was ovarian in 128 (46%), cervical in 43 (16%), and endometrial in 105 patients (38%). Median Karnofsky Performance Scale was 80%, and systemic disease was active in 124 (45%) of patients. A median of 1 metastasis was treated (IQR, 1-3) per patient. Median individual metastasis volume was 0.27 cc (IQR, 0.05-1.59 cc). The majority (91%) received single-fraction SRS, using a median margin dose of 18 Gy (IQR, 16-20 Gy). Actuarial overall survival was 77%, 65%, and 44% at 6, 12, and 24 months, respectively. Predictors of worsened survival included older age, cervical and endometrial primary, previous whole-brain radiation therapy (WBRT), active systemic disease, worsened Karnofsky Performance Scale, absence of subsequent surgery, and increasing number of BM. Actuarial local control was 94% at 6 months, 89% at 12 months, and 78% at 24 months. Previous SRS or WBRT, tumor bed treatment, and cervical histology increased the risk of local failure. New remote BM and leptomeningeal dissemination occurred in 44% and 11% of patients, respectively. Adverse radiation effects (ARE) occurred in 13% of cases but were symptomatic in only 3%. Previous WBRT or SRS and increased tumor diameter increased the risk of ARE. CONCLUSION: SRS is an effective management for BM from gynecological cancers with low risks of symptomatic ARE.
The Brain Tumor Segmentation (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI
Janas, Anastasia , Baid, Ujjwal , Ramakrishnan, Divya , Saluja, Rachit , Ashraf, Nader, Maleki, Nazanin , Yordanov, Nikolay , Fehringer, Pascal, Gkampenis, Athanasios , Amiruddin, Raisa, Adewole, Maruf , Albrecht, Jake, Anazodo, Udunna, Anwar, Syed Muhammad, Bergquist, Timothy , Chiang, Veronica , Eddy, J. Mark , Ezhov, Ivan , Khalili, Nastaran, Jiang, Zhifan , Johanson, Elaine, Kazerooni, Anahita Fathi , Krantchev, Kiril, Linguraru, Marius George , Liu, Xinyang , Meier, Zeke, Moy, Harrison, Osenberg, Klara , Reitman, Zachary, Shinohara, Russell Takeshi, Wang, Chunhao , Shafique, Umber, Willms, Klara, Avesta, Arman , Bousabarah, Khaled , Chakrabarty, Satrajit , Gennaro, Nicolò , Holler, Wolfgang, Lost, Jan , Marcus, Daniel S. , Maresca, R, Merkaj, Sarah, Pedersen, Gabriel Cassinelli, Reppert, Marc von , Teytelboym, Oleg M., Tillmans, Niklas, Westerhoff, Malte , Youssef, Ayda , Pflüger, Irada, Perez-Carillo, Gloria J. Guzman, Memon, Fatima, Krycia, Mark, Patro, Satya Narayana , Petrović, Bojan , Schrickel, E. Brooke, Besada, Cristina , Chu, Sammy, Dusoi, Alexandru, Farage, Luciano , Fong, Amy, Gray, R. Ian, Krumpelman, Chase, Lincoln, Christie M. , Maros, Máté E. , Morón, Fanny , Nimchinsky, Esther A. , Patel, Uresh, Rohatgi, Saurabh , Sayah, Anousheh , Schwartz, Eric D. , Shiroishi, Mark S. , Valerie, Jewels, White, Matthew L. , Zohrabian, Vahe M. , Brüßeler, Melanie, Ghonim, Mohamed, Okar, Abdullah , Pasquini, L. , Soumala, Theodora, Taherzadeh, Mahsa , Vollmuth, Philipp, Foltyn, Martha , Abayazeed, Aly, Dellepiane, Francesco , Verdier, Maria Correia de , Al-Rubaiey, Sanaria, Ashraf, Kholod, Asla, Moamen M., Badawy, Mohamed , Lomer, Nima Broomand , Bukatz, Jan, Chen, Jim, Cimflová, Petra , Corr, Felix, Crawley, Alexis, Deptula, Lisa, Elakhdar, Tasneem, Shawali, Islam H., Frick, Alexandra, Haider, Muhammad Ammar , Hierro, Fátima , Jacobs, Sarah Maria, Hsieh, Kuang-chun Jim, Kersting, Katharina , Kida, Laura, Kollia, Sofia , Koukoulithras, Ioannis, Li, Xiao , Abouelatta, Ahmed, Mansour, Aya, Maria-Zamfirescu, Ruxandra-Catrinel, Marsiglia, Marcela , Mateo-Camacho, Yohana Sarahi , McArthur, Mark J., McDonnell, Olivia, McHugh, M, Moassefi, Mana , Morsi, Samah Mostafa, Munteanu, Alexander , Naqvi, Syed Raza, Nikanpour, Yalda , Alnoury, Mostafa , Nouh, Abdullah Mohamed Aly, Pappafava, Francesca, Patel, Markand D., Petrucci, S. , Rawie, Eric, Raymond, Scott B. , Roohani, Borna, Sabouhi, Sadeq, Sánchez‐García, Laura , Shaked, Zoe , Altes, Talissa A. , Isufi, Edvin , Dhemesh, Yaseen , Gass, Jaime, Thacker, Jonathan, Tarabishy, Abdul , Turner, Benjamin , Worede, Fikadu , Yousry, Sara, Lerebo, Wondwossen , Aristizábal, Alejandro , Karargyris, Alexandros , Kassem, Hasan , Sheller, Micah , Link, Katherine E. , Moawad, Ahmed W. , Ashraf, Nader, Jekel, Leon , Manteghinejad, Amirreza , Aneja, Sanjay , Anwar, Syed Muhammad, Chung, Verena , Conte, Gian Marco , Dako, Farouk , Eddy, James, Khalili, Nastaran, Farahani, Keyvan , Iglesias, Juan Eugenio , Kofler, Florian , LaBella, Dominic , Leemput, Koen Van , Li, Hongwei , Meier, Zeke, Menze, Bjoern H. , Piraud, Marie , Shinohara, Russell Taki , Wiestler, Benedikt , Wiggins, Walter F. , Kaur, Manpreet , LaMontagne, Pamela , Lin, MingDe , Maresca, Ryan, Petersen, Gabriel Cassinelli , Sotiras, Aristeidis , Godfrey, Devon , Floyd, Scott , Rauschecker, Andreas M. , Villanueva-Meyer, Javier E. , Cho, Jaeyoung , Bendszus, Martin , Brugnara, Gianluca , Cramer, Justin , Johnson, Derek R. , Kam, Anthony , Kwan, Benjamin Y. M. , Lai, Lillian M. , Lall, Neil , So, Tiffany Y. , Thompson, Gerard , Wu, Lei , Bansal, Anu , Barkhof, Frederik , Druzgal, T. Jason , Feltrin, Fabrício Stewan , Fung, Steve H. , Ikuta, Ichiro , Iv, Michael , Postma, Alida A. , Mahajan, Amit Kumar , Joyner, David , Létourneau‐Guillon, Laurent , Miller, Elka , Özsarlak, Ö. , Saha, Atin , Shih, Robert , Small, Juan E. , Tanwar, Manoj , Weinberg, Brent D. , Young, Robert J. , Azizova, Aynur , Ghonim, Mohanad , Ghonim, Mohamed, Sharifi, Yasaman , Singh, Gagandeep, Sollmann, Nico , Vollmuth, Philipp, Foltyn‐Dumitru, Martha , Malhotra, Ajay , Lohmann, Philipp , Pérez‐García, Víctor M. , Elhalawani, Hesham M. , Duarte Armindo, Rui , Asla, Moamen M., Bisschop, Jeroen , Faghani, Shahriar , Gulati, Vaibhav , Dahl, Rasmus Holmboe , McArthur, Mark, McHugh, Maire, Moassefi, Mana , Nandolia, Khanak , Petrucci, Samantha, Sanchez-Garcia, Laura M., Suthar, Pokhraj Prakashchandra , Vacca, Sebastiano , Vilanilam, George K. , Warren, Daniel, Weiss, David, Pati, Sarthak , Calabrese, Evan , Tahon, Nourel Hoda , Nada, Ayman , Velichko, Yury , Bakas, Spyridon , Rudie, Jeffrey D. , Aboian, Mariam

Machine Learning for Biomedical Imaging | June 26, 2025 | Volume: 3 | Issue: December 2025 | Pages: 204-247

10.59275/j.melba.2025-9bd3 Get It

The translation of AI-generated brain metastases (BM) segmentation into clinical practice relies heavily on diverse, high-quality annotated medical imaging datasets. The BraTS-METS 2023 challenge has gained momentum for testing and benchmarking algorithms using rigorously annotated internationally compiled real-world datasets. This study presents the results of the segmentation challenge and characterizes the challenging cases that impacted the performance of the winning algorithms. Untreated brain metastases on standard anatomic MRI sequences (T1, T2, FLAIR, T1PG) from eight contributed international datasets were annotated in stepwise method: published UNET algorithms, student, neuroradiologist, final approver neuroradiologist. Segmentations were ranked based on lesion-wise Dice and Hausdorff distance (HD95) scores. False positives (FP) and false negatives (FN) were rigorously penalized, receiving a score of 0 for Dice and a fixed penalty of 374 for HD95. The mean scores for the teams were calculated. Eight datasets comprising 1303 studies were annotated, with 402 studies (3076 lesions) released on Synapse as publicly available datasets to challenge competitors. Additionally, 31 studies (139 lesions) were held out for validation, and 59 studies (218 lesions) were used for testing. Segmentation accuracy was measured as rank across subjects, with the winning team achieving a LesionWise mean score of 7.9. The Dice score for the winning team was 0.65 ± 0.25. Common errors among the leading teams included false negatives for small lesions and misregistration of masks in space. The Dice scores and lesion detection rates of all algorithms diminished with decreasing tumor size, particularly for tumors smaller than 100 mm3. In conclusion, algorithms for BM segmentation require further refinement to balance high sensitivity in lesion detection with the minimization of false positives and negatives. The BraTS-METS 2023 challenge successfully curated well- annotated, diverse datasets and identified common errors, facilitating the translation of BM segmentation across varied environments and providing the tools for future development of personalized volumetric reports to patients undergoing BM treatment.
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.
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.
The Effect of an Osseointegration Implant on Gait Kinematics for Extremely Short Transfemoral Amputees
Wilke, Benjamin K. , Spaulding, Aaron , Patel, Janki H, Pompilio, Steve, Hemmen, Geoff , Weiss, Howard D., Kaufman, Kenton R , Spaulding, Aaron , Patel, Janki H , Pompilio, Steve , Hemmen, Geoff , Weiss, Howard , Wilke, B K , Kaufman, Kenton R.

JBJS Case Connector | June 12, 2025 | Volume: 15 | Issue: 2 | Pages: No page available

10.2106/jbjs.cc.25.00020 | PMID 40504936 Get It

Case: We present a 55-year-old woman with a very short transfemoral amputation who underwent osseointegration. We compared gait analyses before and following osseointegration, demonstrating improvements in kinematics. At follow-up, the patient wore the prosthetic for 16 hours and averaged 10,000 steps daily. She achieved her goal of walking the beach with her prosthetic limb and often traveled without an assistive device. Conclusion: This case study of a patient with a very short transfemoral amputation demonstrated continued improvements in gait and significantly increased prosthetic use over time.
Late Gadolinium Enhancement and Electrocardiographic Associations in Hypertrophic Cardiomyopathy
Asfour, Issa, Karim, Shahid , Tabraiz, Sair Ahmad , Chahal, C. Anwar A. , Sherif, Akil Adrian , Ommen, Steve R. , Lin, Grace , Brady, Peter A. , Tabraiz, Sair A, Chahal, Choudhary Anwar A , Sherif, Akil , Khanji, Mohammed Y , Somers, Virend K.

Annals of Noninvasive Electrocardiology | June 12, 2025 | Volume: 30 | Issue: 4 | Pages: No page available

10.1111/anec.70077 | PMID 40464065 Get It

ABSTRACTBackgroundLate gadolinium enhancement (LGE) on cardiovascular magnetic resonance (CMR) imaging is a well‐established indicator of myocardial fibrosis in hypertrophic cardiomyopathy (HCM). However, its association with electrocardiographic (ECG) abnormalities and the risk of atrial fibrillation (AF) remains uncertain.ObjectivesTo investigate the association between the presence and burden of LGE with ECG characteristics, including precordial voltage, depolarization and repolarization abnormalities, and the incidence of AF in adults with HCM.MethodsWe conducted a retrospective cohort study of 144 adults with HCM with CMR and 12‐lead ECG within 30 days of each other. LGE was quantified as a percentage of LV mass and categorized as absent, < 5%, or ≥ 5%. ECG parameters, including QRS voltage, repolarization abnormalities, and LVH criteria, were analyzed. Incident AF was assessed during a median follow‐up of 6.6 years.ResultsLGE was present in 96 (67%) patients, with 21 (22%) having ≥ 5% LGE. There were no significant differences in precordial voltage between patients with and without LGE across Sokolow‐Lyon, Cornell, and Romhilt‐Estes criteria. However, T‐wave inversion was more common in leads I (41% vs. 19%, p = 0.009), aVL (50% vs. 31%, p = 0.033), and V4 (41% vs. 23%, p = 0.035) in patients with LGE. Patients with ≥ 5% LGE had a significantly lower median LVEF (64% vs. 74%, p = 0.003). Additionally, LGE presence was not associated with an increased risk of incident AF (HR 1.8, 95% CI 0.6–5.3, p = 0.308).ConclusionIn contrast to pediatric HCM, LGE is associated with specific ECG repolarization abnormalities, particularly T‐wave inversion in lateral leads, but does not significantly affect precordial voltage in adults.
Femtech Solutions and Devices: Technological Innovations and their Impact on Women's Health Outcomes
Farahani, Nasibeh Zanjirani , Sundsbak, Jamie L., Bethke, Steve, Enayati, Moein , Faubion, Stephanie S.

2025 Design of Medical Devices Conference | June 5, 2025 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1115/dmd2025-1107 Get It

Abstract Femtech, a sector dedicated to the development of technologies addressing women's health issues, holds significant potential to revolutionize healthcare for women. This study provides an overview of current Femtech solutions tailored to meet the unique needs of women. It analyzes the present landscape, highlighting key areas where artificial intelligence (AI) and generative technologies have made substantial impacts. Furthermore, the study explores strategies to foster future growth and broader adoption of Femtech within the healthcare sector with a glance at Artificial Intelligence. The ultimate objective is to advance the development of more effective, personalized, accessible, and equitable healthcare solutions for women. The study will review and categorize 56 women’s health-related applications and devices currently available on the US market, identifying existing gaps and areas for potential improvement.
Efficacy of pharmacological therapies in reducing outflow tract obstruction in patients with obstructive hypertrophic cardiomyopathy: a systematic review and meta-analysis
Couteur, David G. Le , Wilanksy, Susan, Lester, Steven J., Ommen, Steve R. , Geske, Jeffrey B. , Arsanjani, Reza, Ayoub, Chadi , Pereyra Pietri, Milagros, Pathangey, Girish , Le Couteur, David , Geske, Jeffrey B , Ayoub, Chadi , Awad, Kamal , Pereyra, Milagros , Farina, Juan M. , Abbas, Mohammed Tiseer , Scalia, Isabel G. , Arsanjani, Reza

European Heart Journal - Cardiovascular Pharmacotherapy | May 16, 2025 | Volume: 11 | Issue: 5 | Pages: 469-482

10.1093/ehjcvp/pvaf036 | PMID 40377024 Get It

Abstract Aims Significant advancements have been made in the management of obstructive hypertrophic cardiomyopathy (oHCM), yet the extent of left ventricular outflow tract (LVOT) gradient reduction achieved with commonly used pharmacological therapies [beta-blockers (BBs), calcium channel blockers (CCBs), disopyramide, and cardiac myosin inhibitors (CMIs)] relative to each other is still unclear. Methods and results PubMed and Scopus were searched up to September 2024. Clinical trials or observational studies that assessed the changes associated with BBs, CCBs, disopyramide, or CMIs in LVOT gradient at rest or with provocation in patients with oHCM were included. Mean changes in LVOT gradients were pooled as mean differences (MD) with 95% confidence intervals (CIs) in a random-effects model. Thirty-seven studies, with 44 arms and 1898 patients, were included in the analysis. At the therapeutic class level, pooled analysis showed that disopyramide was associated with the highest reduction in LVOT gradient at rest [MD: −43.5 (95% CI, −51.6 to −35.3)], followed by CMIs [MD: −34.8 (95% CI, −40.6 to −29.0)], BBs [MD: −20.7 (95% CI, −29.4 to −12.0)], and then CCBs [MD: −14.7 (95% CI, −23.3 to −6.1)], inter-action P &lt; 0.01. Within CMIs, mavacamten had a higher effect than aficamten on gradient reduction; among the included BBs, metoprolol showed the highest gradient reduction, while among CCBs, verapamil was the most effective (inter-action P &lt; 0.01). Similar results were observed for provocable LVOT gradients. Conclusion Pharmacological therapies effectively reduced LVOT gradients in oHCM patients to varying degrees, with disopyramide and CMIs showing the highest effect, followed by BBs and CCBs.
Deep Learning-Derived Cardiac Chamber Volumes and Mass From PET/CT Attenuation Scans: Associations With Myocardial Flow Reserve and Heart Failure
Hijazi, Waseem , Shanbhag, Aakash , Miller, Robert J.H. , Kavanagh, Paul , Killekar, Aditya , Lemley, Mark , Wopperer, Samuel, Knight, Stacey , Le, Viet T. , Mason, Steve, Rosamond, T. Thomas, Dey, Damini , Berman, Daniel S. , Carli, Marcelo F. Di , Acampa, Wanda , Dey, Damini , Berman, Daniel , Chareonthaitawee, Panithaya , Di Carli, Marcelo F , Slomka, Piotr J , Miller, Robert J H , Lemley, Mark , Shanbhag, Aakash , Knight, Stacey , Le, Viet T , Mason, Steve, Chareonthaitawee, Panithaya

Circulation: Cardiovascular Imaging | May 13, 2025 | Volume: 18 | Issue: 7 | Pages: No page available

10.1161/circimaging.124.018188 | PMID 40357553 Get It

BACKGROUND: Computed tomography (CT) attenuation correction scans are an intrinsic part of positron emission tomography (PET) myocardial perfusion imaging using PET/CT, but anatomic information is rarely derived from these ultralow-dose CT scans. We aimed to assess the association between deep learning-derived cardiac chamber volumes (right atrial, right ventricular, left ventricular, and left atrial) and mass (left ventricular) from these scans with myocardial flow reserve and heart failure hospitalization. METHODS: We included 18 079 patients with cardiac PET/CT from 6 sites. A deep learning model estimated cardiac chamber volumes and left ventricular mass from CT attenuation correction imaging. Associations between deep learning-derived CT mass and volumes with heart failure hospitalization and reduced myocardial flow reserve were assessed in a multivariable analysis. RESULTS: During a median follow-up of 4.3 years, 1721 (9.5%) patients experienced heart failure hospitalization. Patients with 3 or 4 abnormal chamber volumes were 7× more likely to be hospitalized for heart failure compared with patients with normal volumes. In adjusted analyses, left atrial volume (hazard ratio [HR], 1.25 [95% CI, 1.19–1.30]), right atrial volume (HR, 1.29 [95% CI, 1.23–1.35]), right ventricular volume (HR, 1.25 [95% CI, 1.20–1.31]), left ventricular volume (HR, 1.27 [95% CI, 1.23–1.35]), and left ventricular mass (HR, 1.25 [95% CI, 1.18–1.32]) were independently associated with heart failure hospitalization. In multivariable analyses, left atrial volume (odds ratio, 1.14 [95% CI, 1.0–1.19]) and ventricular mass (odds ratio, 1.12 [95% CI, 1.6–1.17]) were independent predictors of reduced myocardial flow reserve. CONCLUSIONS: Deep learning–derived chamber volumes and left ventricular mass from CT attenuation correction were predictive of heart failure hospitalization and reduced myocardial flow reserve in patients undergoing cardiac PET perfusion imaging. This anatomic data can be routinely reported along with other PET/CT parameters to improve risk prediction.