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1031 citation(s) found for "Xu, Clark".

A Logarithmic Compression Method for Magnitude-Rich Data: The LPPIE Approach
Alevizos, Vasileios , Yue, Zongliang , Edralin, Sabrina , Xu, Clark , Gerolimos, Nikitas , Papakostas, George A.

Technologies | July 2, 2025 | Volume: 13 | Issue: 7 | Pages: 278

10.3390/technologies13070278 Get It

This study introduces Logarithmic Positional Partition Interval Encoding (LPPIE), a novel lossless compression methodology employing iterative logarithmic transformations to drastically reduce data size. While conventional dictionary-based algorithms rely on repeated sequences, LPPIE translates numeric data sequences into highly compact logarithmic representations. This achieves significant reduction in data size, especially on large integer datasets. Experimental comparisons with established compression methods—such as ZIP, Brotli, and Zstandard—demonstrate LPPIE’s exceptional effectiveness, attaining compression ratios nearly 13 times superior to established methods. However, these substantial storage savings come with elevated computational overhead due to LPPIE’s complex numerical operations. The method’s robustness across diverse datasets and minimal scalability limitations underscore its potential for specialized archival scenarios where data fidelity is paramount and processing latency is tolerable. Future enhancements, such as GPU-accelerated computations and hybrid entropy encoding integration, are proposed to further optimize performance and broaden LPPIE’s applicability. Overall, LPPIE offers a compelling alternative in lossless data compression, substantially redefining efficiency boundaries in high-volume numeric data storage.
Distinct 11C-ER176 PET Neuroinflammatory Profiles and Tau Colocalization in Progressive Apraxia of Speech With and Without Parkinson-plus Syndrome
Satoh, Ryota , Utianski, Rene L. , Duffy, Joseph R. , Clark, Heather M. , Stephens, Yehkyoung C. , Lee, Jeyeon , Baker, Matt , Rademakers, Rosa , Lowe, Val J. , Josephs, Keith A. , Whitwell, Jennifer L., Utianski, Rene L , Clark, Heather M , Duffy, Joseph R , Satoh, Ryota , Whitwell, Jennifer

Clinical Nuclear Medicine | June 30, 2025 | Volume: 50 | Issue: 8 | Pages: 731-742

10.1097/rlu.0000000000005962 | PMID 40587210 Get It

Background: Progressive apraxia of speech (PAOS) is a neurodegenerative disorder most commonly arising from a 4-repeat tauopathy that affects the programming or planning of speech, although many patients develop a Parkinson-plus syndrome. The role of neuroinflammation as a disease mechanism is unknown. We investigated the spatial pattern of neuroinflammation in PAOS using PET and evaluated whether it is associated with disease severity, presence of Parkinson-plus features, and tau PET uptake. Patients and Methods: Twenty-five PAOS patients (13 with Parkinson-plus features) and 30 controls underwent inflammatory 11C-ER176 and tau 18F-flortaucipir PET scans as well as detailed clinical assessments. Multiple linear regression analyses compared the inflammatory standardized uptake value ratio (SUVR) between PAOS and controls and assessed the relationship with clinical test scores. Pearson correlation analysis examined the relationship between inflammatory and tau SUVRs. Results: PAOS had greater neuroinflammatory SUVR than controls in the precentral, supplementary motor area, frontal gyri, putamen, pallidum, subthalamic nucleus, and red nucleus (adjusted P < 0.05). Greater neuroinflammation was associated with worse parkinsonism, and patients who had developed Parkinson-plus features showed a broader pattern of neuroinflammation, extending to prefrontal, temporal and parietal cortices. Neuroinflammation correlated with tau uptake in most (96%) PAOS patients (r > 0.3, P < 0.05). The higher correlation was associated with worse parkinsonism (r = 0.61, P < 0.05) and disease severity (r = 0.54, P < 0.05). Conclusions: 11C-ER176 PET analysis demonstrates neuroinflammation in frontal and subcortical regions in PAOS which is particularly severe and widespread with the development of Parkinson-plus clinical features. The colocalization of neuroinflammation and tau may support a relationship between these disease mechanisms.
Assessing Analytical Performance and Correct Classification for Cardiac Troponin Deltas Across Diagnostic Pathways Used for Myocardial Infarction
Kavsak, Peter A. , Sharif, Sameer , Demian, Wael L. L., Belley‐Côté, Emilie P. , Blank, David , Knauer, Michael J. , Thorlacius, Laurel , Raizman, Joshua E., Huang, Yun , Beriault, Daniel R. , Fung, Angela W.S. , Yip, Paul S. F. , Clark, L., Abramson, Beth L. , Friedman, Steven , Atkinson, Paul , Suskin, Neville , Scheuermeyer, Frank , Humphries, Karin H. , Mondoux, Shawn , Ainsworth, Craig , Borges, Flávia K. , Worster, Andrew , McRae, Andrew D. , Jaffe, Allan S. , Belley-Cote, Emilie P , Knauer, Michael , Thorlacius, Laurel , Fung, Angela W S , Yip, Paul M , Friedman, Steven M , Suskin, Neville , Ainsworth, Craig , Borges, Flavia , McRae, Andrew , Jaffe, Allan S. , Beriault, Daniel R , Choi, Won-Shik, Taher, Jennifer , Shea, Jennifer L. , McLaren, Jesse T. T. , Chen‐Tournoux, Annabel , Sivilotti, Marco L.A. , Thiruganasambandamoorthy, Venkatesh , Aakre, Kristin M.

Diagnostics | June 30, 2025 | Volume: 15 | Issue: 13 | Pages: 1652

10.3390/diagnostics15131652 | PMID 40647651 Get It

Background: In the emergency setting, many diagnostic pathways incorporate change in high-sensitivity cardiac troponin (hs-cTn) concentrations (i.e., the delta) to classify patients as low-risk (rule-out) or high-risk (rule-in) for possible myocardial infarction (MI). However, the impact of analytical variation on the delta for correct classification is unknown, especially at concentrations below and around the 99th percentile. Our objective was to assess the impact of delta variation for correct risk classification across the European Society of Cardiology (ESC 0/1 h and 0/2 h), the High-STEACS, and the common change criteria (3C) pathways. Methods: A yearlong accuracy study for hs-cTnT was performed where laboratories across Canada tested three patient-based samples (level 1 target value = 6 ng/L, level 2 target value = 9 ng/L, level 3 target value = 12 ng/L) monthly across 41 different analyzers. The assigned low-delta between levels 1 and 2 was 3 ng/L (i.e., 9 − 6 = 3 ng/L) and the assigned high-delta between levels 1 and 3 was 6 ng/L (i.e., 12 − 6 = 6 ng/L). The low- and high-deltas for each analyzer were determined monthly from the measured values, with the difference calculated from the assigned deltas. The obtained deltas were then assessed via the different pathways on correct classification (i.e., percent correct with 95% confidence intervals, CI) and using non-parametric analyses. Results: The median (interquartile range) difference between the measured versus assigned low-delta (n = 436) and high-delta (n = 439) was −1 ng/L (−1 to 0). The correct classification differed among the pathways. The ESC 0/1 h pathway yielded the lowest percentage of correct classification at 35.3% (95% CI: 30.8 to 40.0) for the low-delta and 90.0% (95% CI: 86.8 to 92.6) for the high-delta. The 3C and ESC 0/2 h pathways yielded higher and equivalent estimates on correct classification: 95.2% (95% CI: 92.7 to 97.0) for the low-delta and 98.2% (95% CI: 96.4 to 99.2) for the high-delta. The High-STEACS pathway yielded 99.5% (95% CI: 98.4 to 99.9) of correct classifications for the high-delta but only 36.2% (95% CI: 31.7 to 40.9) for the low-delta. Conclusions: Analytical variation will impact risk classification for MI when using hs-cTn deltas alone per the pathways. The 3C and ESC 0/2 h pathways have <5% misclassification when using deltas for hs-cTnT in this dataset. Additional studies with different hs-cTnI assays at concentrations below and near the 99th percentile are warranted to confirm these findings.
Brain Microstructure Interrogation by Diffusion Tensor and Kurtosis Imaging in Progressive Supranuclear Palsy Subtypes
Gatto, Rodolfo G. , Pham, Nha Trang Thu, Ali, Farwa , Stierwalt, Julie A. G., Stephens, Yehkyoung C. , Josephs, Keith A. , Whitwell, Jennifer L. , Youssef, Hossam , Stierwalt, Julie, Stephens, Yehkyoung, Whitwell, Jennifer L , Clark, Heather M. , Machulda, Mary M.

Journal of Neuroimaging | June 25, 2025 | Volume: 35 | Issue: 3 | Pages: No page available

10.1111/jon.70062 | PMID 40556376 Get It

ABSTRACT Background and Purpose Diffusion tensor imaging (DTI) is commonly used to assess the integrity of gray and white matter (WM) structures in progressive supranuclear palsy (PSP). Beyond DTI, nontraditional diffusion techniques such as diffusion kurtosis imaging (DKI) have been shown to characterize brain tissue further. In this work, we aim to determine the utility of DKI in the differential diagnosis of PSP—Richardson syndrome (PSP‐RS) and PSP with predominant parkinsonism (PSP‐P) from Parkinson's disease (PD) and controls. Methods A multishell diffusion‐weighted sequence was acquired at 3 Tesla on a Siemens system in 22 patients with PSP‐RS, 23 with PSP‐P, 19 with PD, and 19 controls. Fractional anisotropy, mean diffusivity, kurtosis fractional anisotropy (KFA), and mean kurtosis (Kmean) were calculated for nine deep gray matter regions and six different WM tracts. Results DKI identified differences (not found by DTI) between control and PSP groups in the globus pallidum externus, subthalamic region, and putamen, with Kmean in the putamen able to differentiate PSP‐RS and PD. DKI WM measurements in the body of the corpus callosum and dentatorubrothalamic tract differentiated PSP‐RS from PD, and the corticostriatal tract differentiated PSP‐P from PD. KFA in the body of the corpus callosum identified worse microstructural anomalies in PSP‐RS compared to PSP‐P. DKI metrics correlated with the severity of ocular motor impairment and parkinsonism scores. Conclusions DKI measurements could differentiate PSP‐RS, PSP‐P, and PD and, hence, may be a promising imaging tool for studying structural neuropathological changes in PSP.
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.
Predictors and Patterns of Nonurothelial Recurrence After Nephroureterectomy for Upper Tract Urothelial Carcinoma (UCAN Collaboration)
Katims, Andrew , Assel, Melissa , Margulis, Vitaly , Potretzke, Aaron M., Katims, Andrew B , Tin, Amy L. , Hensley, Patrick J. , Li, Roger , Matin, Surena F. , Pallauf, Maximilian , Potretzke, Aaron M., Clark, Roderick K. , Raman, Jay D. , Singla, Nirmish , Spiess, Philippe E. , Coleman, Jonathan

Journal of Urology | June 17, 2025 | Volume: 214 | Issue: 4 | Pages: 407-414

10.1097/ju.0000000000004646 | PMID 40526449 Get It

Uncovering Image‐Driven Subtypes with Distinct Pathology and Clinical Course in Autopsy‐Confirmed Four Repeat Tauopathies
Satoh, Ryota , Sekiya, Hiroaki , Ali, Farwa , Dickson, Dennis W. , Josephs, Keith A. , Whitwell, Jennifer L. , Dickson, Dennis W , Josephs, Keith A , Whitwell, Jennifer , Sekiya, Hiroaki , Satoh, Ryota , Clark, Heather M. , Utianski, Rene L. , Duffy, Joseph R. , Machulda, Mary M.

Annals of Neurology | June 17, 2025 | Volume: 98 | Issue: 3 | Pages: 492-507

10.1002/ana.27286 | PMID 40492394 Get It

ObjectivesThe four‐repeat (4R) tauopathies are a group of neurodegenerative diseases, including progressive supranuclear palsy (PSP), corticobasal degeneration (CBD), and globular glial tauopathy (GGT). This study aimed to characterize spatiotemporal atrophy progression using structural magnetic resonance imaging (MRI) and to examine its relationship with clinical course and neuropathology in a cohort of autopsy‐confirmed 4R tauopathies.MethodsThe study included 85 autopsied patients (54 with PSP, 28 with CBD, and 3 with GGT) who underwent multiple 3T MRI scans, as well as neuropsychological, neurological, and speech/language examinations, and standardized postmortem neuropathological evaluations. An unsupervised machine‐learning algorithm, Subtype and Stage Inference (SuStaIn), was applied to the cross‐sectional brain volumes to estimate spatiotemporal atrophy patterns and data‐driven subtypes and stages in each patient. The relationships among estimated subtypes, pathological diagnoses, and longitudinal changes in clinical testing were examined.ResultsThe SuStaIn algorithm identified 2 distinct subtypes: (1) the subcortical subtype, in which atrophy progresses from the midbrain to the cortex, and (2) the cortical subtype, in which atrophy progresses from the frontal cortex to the subcortical regions. The subcortical subtype was more associated with typical PSP, whereas the cortical subtype was more associated with atypical PSP with a cortical distribution of pathology and CBD (p < 0.001). The cortical subtype had a faster rate of change on the PSP Rating Scale than the subcortical subtype (p < 0.05).InterpretationSuStaIn analysis revealed 2 MRI‐driven subtypes with distinct spatiotemporal atrophy patterns, clinical courses, and neuropathology. Our findings contribute to a comprehensive and improved understanding of disease progression and its relationship to tau pathology in 4R tauopathies. ANN NEUROL 2025;98:492–507
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.
Evaluation of disproportionately enlarged subarachnoid-space hydrocephalus in progressive supranuclear palsy
Fu, Mu‐Hui , Gunter, Jeffrey L. , Satoh, Ryota , Gatto, Rodolfo G. , Ali, Farwa , Clark, Heather M, Stierwalt, Julie A. G., Stephens, Yehkyoung C. , Pham, Nha Trang Thu, Jack, Clifford R. , Lowe, Val J. , Josephs, Keith A. , Whitwell, Jennifer L. , Stierwalt, Julie A, Youssef, Hossam , Jack, Clifford R , Josephs, Keith A , Whitwell, Jennifer , Whitwell, Jennifer L , Satoh, Ryota , Clark, Heather M. , Machulda, Mary M.

Brain Communications | June 2, 2025 | Volume: 7 | Issue: 3 | Pages: No page available

10.1093/braincomms/fcaf206 | PMID 40503329 Get It

Abstract Normal pressure hydrocephalus is typically defined by the triad of gait disturbance, cognitive impairment, and urinary incontinence, and is characterized on MRI by disproportionately enlarged subarachnoid-space. Gait disturbance is also a commonly reported symptom in Parkinsonian disorders, especially progressive supranuclear palsy, although the frequency, clinical significance and mechanisms of hydrocephalus in these disorders are unclear. We aimed to assess the prevalence of hydrocephalic MRI parameters in a large cohort of Parkinsonian disorders and evaluate associations with clinical features and abnormalities on MRI and PET. Two hundred and thirty-eight participants with a Parkinsonian disorder, including 181 progressive supranuclear palsy, 36 corticobasal syndrome and 21 Parkinson’s disease, were enrolled from Mayo Clinic by the Neurodegenerative Research Group between September 2009 to October 2023. Automated detection of disproportionately enlarged subarachnoid-space hydrocephalus (D) was applied and using Evans’ index (E) cut-off point &gt;0.3, participants were classified based on both measures as imaging-suggestive of hydrocephalus (D+E+), enlarged subarachnoid-space only (D+E−), large Evans’ index only (D−E+) and no imaging evidence of hydrocephalus (D−E−). Demographic, clinical and imaging features, including magnetic resonance parkinsonism index, cortical and subcortical volumes, white matter hyperintensities, diffusion tractography metrics, and metabolism on PET, were compared across groups. Among the 238 participants, 24 had borderline subarachnoid space scores and were excluded. The remaining 214 participants were classified as: D+E+ (n = 20, 9%); D+E− (n = 8, 4%); D−E+ (n = 71, 33%) and D−E− (n = 115, 54%). Among the progressive supranuclear palsy participants, 11% were D+E+, 4% D+E−, 34% D−E+ and 51% D−E−. Most cases (n = 18) in the imaging-suggestive of hydrocephalus D+E+ group had progressive supranuclear palsy. The D+E+ participants were older, had more disorientation, more downgaze palsy, greater midbrain and cortical atrophy, lower striatal metabolism, greater degeneration of long-range white matter tracts, larger cistern areas and more periventricular and deep white matter hyperintensities compared to the D−E− participants without imaging evidence of hydrocephalus. The D+E− participants had the highest metabolism in the paracentral lobule and superior parietal gyrus. The D−E+ participants showed worse disease severity and greater midbrain and cortical atrophy compared to the D−E− participants. These findings demonstrate that disproportionately enlarged subarachnoid-space hydrocephalus occurs in ∼15% of progressive supranuclear palsy participants, and is associated with worse clinical and imaging outcomes, as well as white matter hyperintensities. We hypothesize that disproportionately enlarged subarachnoid-space may be a mechanistic byproduct of degeneration and subsequent cerebrospinal fluid flow re-distribution in progressive supranuclear palsy.
Periacetabular Osteotomy Often Results in Inpatient Stay: A Tertiary Referral Institution’s Experience Supporting This Common Postoperative Course
Meta, Fabien , Clark, Sean C. , Gomez-Ruiz, Karen, Trousdale, Robert T. , Grigoriou, Emmanouil , Hevesi, Mario , Hevesi, Mario , Sierra, Rafael J.

Orthopaedic Journal of Sports Medicine | May 29, 2025 | Volume: 13 | Issue: 5 | Pages: No page available

10.1177/23259671251341913 | PMID 40453958 Get It

Background: Periacetabular osteotomy (PAO) is a complex procedure historically requiring inpatient stay. However, there is increased emphasis for other complex orthopaedic procedures (eg, arthroplasty) to be performed on an outpatient basis by insurance companies. Increasing resistance to insurance approval of inpatient listing for PAO patients at the participating institution suggests that this changing tide is affecting PAO surgery. Purpose: To (1) investigate the proportion of PAOs various surgical listing classifications (outpatient, outpatient-overnight, inpatient, etc), (2) determine the incidence of subsequent denial/request for additional documentation for approval of inpatient stay after PAO, and (3) characterize the accuracy of preoperative patient listing classification as well as mean length of stay (LOS) and incidence of successful same-day discharge after PAO at a single institution. Study Design: Case series; Level of evidence, 3. Methods: A retrospective chart review was performed to identify all PAOs, performed by 4 participating surgeons, at a single academic institution over a 2-year period. The initial listing status as an outpatient-overnight or inpatient procedure was identified. Whether a preoperative peer review was required for approval of inpatient listings as well as if additional documentation was necessary to convert outpatient-overnight listings to inpatient stays were also recorded. Results: A total of 140 PAOs among 117 patients were performed with 25 (17.9%) initially listed as an inpatient stay and 115 (82.1%) listed as outpatient-overnight. Of the 25 PAOs listed as inpatient, 2 (8.0%) required a preoperative peer review process to justify or clarify listing status. The mean LOS was 1.9 ± 1.4 days with 55.7% (78/140) of PAOs staying ≥2 nights in the hospital. Only 6 PAOs (4.3%) went home the same day as surgery. Patients who underwent PAO with concomitant hip arthroscopy stayed on average 2.4 ± 1.2 days in comparison with 1.6 ± 1.4 days for those who underwent PAO alone ( P < .001). Of the 115 PAOs listed as an outpatient-overnight, 53 (46.1%) converted to an inpatient stay, all of which required service documentation to support conversion to inpatient status. Conclusion: Over half of PAOs performed resulted in an inpatient stay with patients spending ≥2 nights in the hospital. Additionally, all conversions from outpatient-overnight to inpatient required additional service documentation to support status conversion. Understanding trends in postoperative hospitalizations and LOS may allow for better informed partnerships between surgeons and insurance companies creating more efficient preauthorizations, billing practices, and expected patterns of patient care and discharge.