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41 citation(s) found for "Iglesias, M I".

Renal Function Decline After Vascularized Composite Allotransplantation
Ouellet, Gabriel , Sardu, Claudia , Kanitakis, Jean , Amer, Hatem, Azari, Kodi , Badet, Lionel , Brandacher, Gerald , Cendales, Linda, Özkan, Özlenen , Gaillard, Christophe , Gazarian, Aram, Kaufman, Christina , Landín, Luis , Lanzetta, Marco , Levin, L. Scott , Sassu, Paolo , Satbhai, Nilesh, Morélon, Emmanuel , Dogan, Ozlenen , Kaminska, Dorota , Lanzetta, Marco , Levin, Scott , Morales, Martin Iglesias , Sassu, Paolo , Talbot, Simon , Weissenbacher, Annemarie , Thaunat, Olivier , Morelon, Emmanuel , Petruzzo, Palmina , Amer, Hatem , Badet, L. , Cendales, Linda C. , Kamińska, Dorota , Lassus, Patrik , Iglesias, Martín , Weißenbacher, Annemarie , Thaunat, Olivier

Transplantation Direct | July 6, 2026 | Volume: 12 | Issue: 8 | Pages: e1976

10.1097/txd.0000000000001976 | PMID 42416359 Get It

Background. Chronic kidney disease (CKD) is a common complication of nonrenal transplantation, influencing recipients’ morbidity and mortality. The incidence of CKD varies depending on the transplanted organ. Recipients of vascularized composite allotransplantation (VCA) need lifelong immunosuppression similar to that of solid organ transplantation. This study investigated renal function in VCA recipients. Methods. We studied 70 recipients from 17 centers (median follow-up: 8 y): 59 upper extremity, 10 face, and 1 penis transplant. Pretransplant and posttransplant clinical data and sera were collected to calculate the estimated glomerular filtration rate (eGFR) using the CKD Epidemiology collaboration 2021 formula. Results. Pretransplantation, the median eGFR was 105.36 mL/min (range, 71.39–155.39 mL/min). By 3 mo posttransplant, the eGFR had significantly decreased to 78.42 mL/min (range, 32.49–130.74 mL/min; P = 0.001) before stabilizing. Despite higher tacrolimus levels at 3 mo, no correlation with eGFR was found. During follow-up, 17.1% of patients experienced a ≥50% eGFR decline, 10.9% progressed to CKD, and 4.7% developed end-stage kidney disease. Some risk factors were identified, but their responsibility could not be established with certainty because of the low number of severe renal outcomes. Conclusions. Renal function declines in the majority of VCA recipients, but the function loss is lower compared with nonrenal solid organ transplantation recipients. Although no statistically significant correlation could be established between tacrolimus exposure and renal function decline, strategies aiming at minimizing calcineurin inhibitor exposure and avoiding other nephrotoxic causes are recommended to preserve long-term kidney function.
Early Metformin for Gestational Diabetes Mellitus Does Not Alter Exclusive Breastfeeding at 12 Weeks: Secondary Analysis of the EMERGE Randomized Trial
Fitzgerald, Mary, O’Donnell, M. M. K., Alvarez-Iglesias, A., Smyth, Andrew, Newman, Christine, O’Shea, Paula M., Gillespie, Paddy, Dunne, F P, O’Shea, Paula , Gillespie, Paddy , O'Shea, Paula M , Gillespie, Paddy , Devane, Declan , Alvarez‐Iglesias, Alberto , Smyth, Andrew , Newman, Christine , Egan, Aoife M. , Biesty, Linda , Dunne, Fidelma

Diabetes Obesity and Cardiometabolic CARE | March 4, 2026 | Volume: 1 | Issue: 2 | Pages: 203-210

10.2337/doc25-0059 Get It

OBJECTIVE To assess whether initiating metformin at 25 weeks' gestation influences exclusive breastfeeding at 12 weeks postpartum in gestational diabetes mellitus (GDM). RESEARCH DESIGN AND METHODS We performed a prespecified secondary analysis of the Effectiveness of Metformin in Addition to Usual Care in the Reduction of Gestational Diabetes Effects (EMERGE) trial, a multicenter, double-blind, placebo-controlled randomized study. A total of 535 pregnant women (510 with newly diagnosed GDM) were allocated 1:1 to metformin (titrated to 2.5 g/day) or placebo alongside usual care. Infant feeding was prospectively documented at birth and at 4 and 12 weeks postpartum. The primary outcome was exclusive breastfeeding at 12 weeks (intention to treat). Multivariable logistic regression adjusted for race, education, smoking, booking BMI, health care access markers, and diagnostic oral glucose tolerance test (OGTT) glucose levels. RESULTS Twelve-week feeding data were available for 476 pregnancies (236 in the metformin group and 240 in the placebo group). Exclusive breastfeeding at 12 weeks was 27% with metformin and 26% with placebo (absolute difference +1.3%; 95% CI –6.3 to 8.7; P = 0.75). The adjusted odds ratio (OR) for metformin versus placebo was 1.24 (95% CI 0.79–1.96; P = 0.36). Feeding patterns shifted from breastfeeding to formula temporally in both groups (P < 0.001), with no treatment-by-time interaction (P = 0.61). Non-Caucasian ethnicity independently predicted exclusive breastfeeding (adjusted OR 2.37; 95% CI 1.27–4.42). CONCLUSIONS Starting metformin treatment at 25 weeks in the GDM group was not associated with differences in exclusive breastfeeding at 12 weeks postpartum. Where metformin was discontinued at delivery, the results support compatibility of antenatal metformin with breastfeeding objectives. Breastfeeding outcomes were more linked to sociodemographic factors than metabolic ones, highlighting the need for culturally appropriate postpartum support.
Primary hyperparathyroidism due to dual parathyroid adenomas: one orthotopic, one intrathymic in ectopic cervical thymus
Iglesias, Migdalia , Lewis, Jason, Janus, Jeffrey, Abate, Ejigayehu G., Chindris, Ana‐Maria , Abate, Ejigayehu, Chindris, Ana-Maria

JCEM Case Reports | February 20, 2026 | Volume: 4 | Issue: 5 | Pages: No page available

10.1210/jcemcr/luag061 | PMID 42027586 Get It

Abstract Primary hyperparathyroidism is most commonly caused by a single parathyroid adenoma. Multiple and ectopic adenomas are less common and can present diagnostic challenges. We present the case of a 57-year-old woman with hypercalcemia, hypercalciuria, and inappropriately normal parathyroid hormone (PTH) levels. Sestamibi scan did not demonstrate abnormal uptake; however, contrast-enhanced 4-dimensional computed tomography imaging reported 2 candidate lesions described as tubular shaped structures located posterior to the inferior pole of each thyroid lobe. Surgical exploration was performed and the surgical pathology reported hypercellular parathyroid tissue resected from the left inferior thyroid bed and benign thymic tissue with embedded hypercellular parathyroid tissue resected from the right inferior thyroid bed. Postoperative calcium levels normalized, and the patient remained eucalcemic at 1-year follow-up. This case underscores the importance of embryologic understanding and thorough surgical exploration in patients with biochemically confirmed primary hyperparathyroidism and inconclusive imaging.
International Multidisciplinary Consensus Report on Definitions, Diagnostic Criteria, and Management of Fatty Pancreas: A Joint Statement Endorsed by EPC, APA, EASD, EASL, ESGAR, ESGE, ESP, ESPCG, ESPEN, ESPGHAN, IAP, JPS, KPBA, LAPSG, and UEG
Marchegiani, Giovanni, Hegyi, Peter, Archibugi, Livia, Valente, Roberto, Capurso, Gabriele, Witt, Heiko, Bonovas, Stefanos , Maisonneuve, Patrick, Verbeke, Caroline S., Dominguez‐Muñoz, J. Enrique, Scheers, Isabelle, Czakó, László, Wagner, R, Rebours, Vinciane, Öhlund, Daniel, Gubergrits, N. B. , Engjom, Trond , Neeße, Albrecht , Apte, Minoti V. , Braren, Rickmer, Bunduc, Stefania, Ceyhan, Güralp Onur, Chouhan, Manil Dinesh, Couvelard, Anne, Iglesia, Daniel de la, Drewes, Asbjørn Mohr, Sarasqueta, A. Farina, Francque, Sven, Frøkjær, Jens Brøndum, Iglesias‐Garcia, Julio, Garg, Pramod, Gerst, Felicia, Gulbinas, Antanas, Gürcinar, Ibrahim Halil, Heni, Martin , Jonas, E G, Kitano, M., Krag, Aleksander, Laukkarinen, J., Lipp, Mónika, Loveček, M., Martignoni, Marc E., Masip, Etna , Matsumoto, Ryotaro , Mozhynа, T. L. , Nosáková, Lenka, Ockenga, Johann , Pandanaboyana, Sanjay, Panić, Nikola , Papachristou, Georgios, Pasqua, Analía V. , Pawlak, Katarzyna Monika, Regel, Ivonne , Regnér, Sara, Singh, Vijay Kumar , Smits, M., Sung, Min Je , Tacelli, Matteo, Teutsch, Brigitta, Udrescu, Mihaela, Wilschanski, Michael , Yavas, Aslihan, Zamboni, G., Löhr, J. Matthias, Singh, Vijay , Drewes, Asbjørn Mohr , Regnér, Sara , Krag, Aleksander , Marchegiani, Giovanni , Pawlak, Katarzyna M. , Marchegiani, Giovanni , Hegyi, Peter , Archibugi, Livia , Bonovas, Stefanos , Verbeke, Caroline S , de-Madaria, Enrique , Wagner, Robert , Rebours, Vinciane , Öhlund, Daniel , Neesse, Albrecht , Bezmarević, Mihailo , Bunduc, Stefania , Iglesia, Daniel de la , Drenth, Joost P H , Gürcinar, Ibrahim Halil , Jonas, Eduard , Kitano, Masayuki , Obmann, Verena , Pandanaboyana, Sanjay , Pasqua, Analia Verónica , Pawlak, Katarzyna M , Regnér, Sara , Seicean, Andrada , Sung, Min Je , Taylor, Roy , Singh, Vijay P , Krag, Aleksander , Vujasinović, Miroslav , Demir, İhsan Ekin , Hegyi, Péter , Valente, Roberto, Capurso, Gabriele , Piovani, Daniele , Rosendahl, Jonas , Maisonneuve, Patrick , Karçaaltıncaba, Muşturay , Domínguez‐Muñoz, J. Enrique , Scheers, Isabelle , Czakó, László , Idılman, Ilkay S. , Overbeek, Kasper A. , Braren, Rickmer , Chouhan, Manil Dinesh , Couvelard, Anne , Cros, Jerome F. , de‐Madaria, Enrique , Drenth, Joost P.H. , Fracasso, Pierluigi , Francque, Sven , Frøkjær, Jens Brøndum , Iglesias‐García, Julio , Garg, Pramod, Gulbinas, Antanas , Hyun, Jong Jin , Jonas, Eduard , Kiriukova, Mariia A. , Laukkarinen, Johanna , Loveček, Martin , Molven, Anders , Nosáková, Lenka , Obmann, Verena Carola , Papachristou, Georgios I. , Peláez‐Luna, Mario , Robinson, Stuart Michael , Smits, Mark M. , Tacelli, Matteo , Teutsch, Brigitta , Udrescu, Mihaela, Yavas, Aslihan , Zamboni, Giulia Angela, Löhr, J.-Matthias

United European Gastroenterology Journal | February 14, 2026 | Volume: 14 | Issue: 1 | Pages: No page available

10.1002/ueg2.70185 | PMID 41689768 Get It

ABSTRACT This international, multidisciplinary consensus report represents the first effort to systematically define and characterize fatty pancreas. A key outcome of this endeavor was the recommendation to adopt “fatty pancreas” as the standardized and inclusive term to describe all forms of fat accumulation in the pancreas. This terminological consensus provides a critical foundation for unified reporting and clinical communication. Another major contribution of the report is the consensus on diagnostic imaging findings, which was based on radiological and endoscopic modalities. The proposed criteria aim to enhance consistency in clinical assessment and support the development of standardized research protocols. In addition to establishing terminology and diagnostic frameworks, the report also synthesizes current knowledge across a wide range of relevant domains. These include the etiology and epidemiology of fatty pancreas, as well as its associations with alcohol consumption, smoking, acute and chronic pancreatitis, pancreatic exocrine insufficiency, type 2 diabetes mellitus, and surgical outcomes. The potential links between fatty pancreas and neoplastic conditions such as intraductal papillary mucinous neoplasms and pancreatic cancer are also addressed, alongside the current understanding of its metabolic implications (beta‐cell function and glucose homeostasis) and treatment strategies. Throughout the consensus process, a consistent theme emerged: the limited availability of high‐quality, prospective clinical data. Therefore, many of the recommendations in this report are based on expert consensus rather than strong empirical evidence. As such, the statements require rigorous prospective validation before they can be adopted into routine clinical practice. This underscores a critical need for further research, particularly studies aimed at clarifying causal relationships, validating diagnostic tools, and determining the clinical relevance of fatty pancreas across diverse patient populations. This report serves as both a summary of our current understanding and a roadmap for future investigations, aiming to close existing knowledge gaps and guide evidence‐based clinical practice in this emerging field.
EMERGE Mothers and Kids: A Longitudinal Cohort Study of Mothers and Children Enrolled in the Randomized Placebo-Controlled Trial of Metformin in Women with GDM (EMERGE): study protocol
Newman, Christine, Smyth, Andrew, o'Shea, Paula, Gillespie, Paddy, Dunne, Fidelma P, O’Shea, Paula , O'Shea, Paula M , Scairati, Roberta , Newman, Christine , Alvarez‐Iglesias, Alberto , Smyth, Andrew , Devane, Declan , Gillespie, Paddy , Egan, Aoife M. , O’Donnell, Martin , Dunne, Fidelma

No container title available | January 20, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.21203/rs.3.rs-7632300/v1 Get It

Abstract Background Pregnancies complicated by gestational diabetes mellitus (GDM) are associated with increased risks of adverse perinatal outcomes, and with long-term metabolic and cardiovascular consequences for both mother and child. The original EMERGE randomized controlled trial (RCT) evaluated the effectiveness of early metformin in addition to usual care in women with GDM on glycaemic control and perinatal outcomes. The EMERGE Mothers and Kids study is a longitudinal follow-up of the EMERGE trial participants, designed to investigate the long-term metabolic, cardiovascular, and neurodevelopmental outcomes in mothers and their offspring. Methods This is a prospective, observational cohort study of participants and their children from the EMERGE trial (NCT06327191). A single follow-up visit will be conducted up to 6 years after the index pregnancy. Maternal assessments include anthropometric data, glucose tolerance, and metabolic parameters. Child assessments include growth metrics, adiposity measured via skinfold thickness, and neurodevelopmental status assessed through validated questionnaires. Additional data on quality of life, mental health, breastfeeding, and health economics will also be collected. Discussion This study aims to provide insights into the long-term safety and efficacy of metformin use during pregnancy and its potential impact on the long term maternal and child health outcomes, contributing to evidence-based management of GDM. Trial registration: ClinicalTrials.gov; Identifier: NCT06327191
Plasma Phosphorylated Tau 217 to Identify Preclinical Alzheimer Disease
Janelidze, Shorena, Bali, Divya , Dolado, Anna Orduña , Binette, Alexa Pichet , Rahmouni, Nesrine , Blennow, Kaj, Doré, Vincent , Feizpour, Azadeh , Rowe, Christopher C., Villeneuve, Sylvia , Petersen, Ronald C., Jack, Clifford R. , Groups, ADNI, ALFA, and PREVENT-AD Study, Adegoke, Olusegun, Hussen, Kedir Adem, Aisen, Paul, Ajayi, Adeyinka, Amaza, Hannatu, Apostolova, Liana G. , Ashford, Miriam T. , Ayo, Omobolanle, Bernard, Marie , Bernhardt, Haley, Boatwright, Virginia, Borowski, Bret, Brylska, Magdalena, Buckholtz, Neil, Cabrera, Yuliana, Cairns, Nigel J. , Carrillo, Maria, Choe, Mark, Clanton, Taylor, Conti, Cat, Craft, Hannah, Crawford, Karen , DeCarli, Charles , Benedetto, Joseph Di, Diaz, Adam , Drake, Erin, Faber, Kelley, Felmlee, Joel P. , Fidell, Andrea, Flenniken, Derek , Fockler, Juliet , Forghanian-Arani, Arvin, Frank, R.T., Franklin, Erin , Glittenberg, Matt, Gunter, Jeff, Guzmán, Vanessa , Harvey, Danielle, Hedberg, Caitie, Hergesheimer, Lindsey, Hoang, Isabella, Jackson, Jonathan , Jagust, William, Jahanshad, Neda , Jenkins, Cecily, Jiménez, Gustavo , Jin, Chengshi , Kachaturian, Zaven, Kaddurah-Daouk, Rima, Kantarci, Kejal, Karlawish, Jason , Khachaturian, Zaven S., Knaack, Alexander , Korecka, Magdalena , Kormos, Adrienne, Germano, Kaori Kubo, Kwang, Winnie, Lacy, Kaci, Landau, Susan, Lopresti, Brian J. , Magana, Fabiola, Mahboubi, Payam, Malone, Ian G., Masliah, Eliezer , Masterman, Donna, Matoush, Leonard, Miller, Melanie J. , Molchan, Susan, Montine, Tom, Moore-Weiss, John, Neu, Scott, Nosheny, Rachel L. , Ogwang, Sheila, Okonkwo, Ozioma, Parkins, Shaniya, Perrin, Richard J. , Petersen, Ronald, Pizzola, Jeremy, Potter, Zoë, Potter, William Z., Rafii, Michael, Raman, Rema , Reyes, Calvin, Reyes, Denise , Robison, Justin , Chen, Stephanie Rossi, Ryan, Laurie, Sachdev, Pallavi, Saito, Naomi , Salazar, Jennifer, Thao, Mai Seng, Shaffer, Elizabeth , Shaw, Leslie M. , Silverberg, Nina, Strong, Joe, Talavera, Sandra , Taylor‐Reinwald, Lisa, Thal, Leon J., Thomas, Lisa , Thompson, Paul , Tosun, Duygu , Trojanowki, John Q., Sacrey, Diana Truran, Villemagne, Victor L. , Walter, Sarah , Wan, Yang , Ward, Chad, Webb, Caitlin, Weiner, Michael W. , Weisensel, Trinity, Zimmerman, Caileigh, Poirier, Judes, Breitner, John C.S. , Badawy, Mohamed , Baril, Andrée‐Ann, Aguilar, Ricardo A, Gorriti, Annabella B, Gispert, Lidia C, Martinez, Alba C, Iglesias, Ruth D, Julian, Sherezade F, Serra, P, González‐Escalante, Armand , Penas, Laura H, Rodriguez, Gema H, Ninou, Jordi H, Gamaz, Laura Iglesias, Knezevic, Iva, Alvarez, Paula M, Diaz, Tania M, Palacios, Eva , Ballester, A, Mendez, Sandra P, Freixedes, Laura Ros, Vila, Aleix S, Harster, Lluis S, Prat, Anna S, Jaramillo, Marc V, Jack, Clifford R , Feizpour, Azadeh , Doré, Vincent , Pichet Binette, Alexa , Salvadó, Gemma , Janelidze, Shorena , Therriault, Joseph , Brum, Wagner Scheeren , Stomrud, Erik , Mattsson, Niklas , Palmqvist, Sebastian , Coomans, Emma M. , Teunissen, Charlotte E. , Flier, Wiesje M. van der , Benzinger, Tammie L.S. , Gispert, Juan Domingo , Blennow, Kaj , Alcolea, Daniel , Fortea, Juan , Johnson, Sterling C. , Rosa-Neto, Pedro , Schindler, Suzanne E. , Suárez‐Calvet, Marc , Ossenkoppele, Rik , Hansson, Oskar , Groups, ADNI, ALFA, and PREVENT-AD Study, Aisen, Paul , Barnes, Lisa L. , Beckett, Laurel , Das, Sandhitsu R. , Donohue, Michael , Drake, Erin, Erickson, Claire M. , Fletcher, Evan M. , Arani, Arvin , Foroud, Tatiana , Fox, Nick C. , Frank, Richard, González, Hector, Green, Robert C. , Grill, Joshua D. , Harkins, Kristin , Ho, Carole , Hsiao, John , Jo, Taeho, Kaddurah‐Daouk, Rima , Kantarci, Kejal , Koeppe, Robert A. , Largent, Emily A. , Lee, Edward B. , Lee, Virginia M.‐Y. , Morris, John C. , Nho, Kwangsik T. , Nir, Talia M. , Nudelman, Kelly , Okonkwo, Ozioma, Petersen, Ronald, Rabinovici, Gil D. , Rafii, Michael S. , Reid, Robert, Reyes, Denise, Risacher, Shannon L. , Mindt, Mónica Rivera , Sachdev, Pallavi, Saykin, Andrew J. , Schwarz, Christopher G. , Senjem, Matthew L. , Li, Shen , Smith, Stephanie R. , Snyder, Peter J. , Thomopoulos, Sophia I. , Toga, Arthur W. , Vemuri, Prashanthi , Yushkevich, Paul A. , Badawy, Mohamed, Baillet, Sylvain , Minguillón, Carolina , Brugulat‐Serrat, Anna , Cacciaglia, Raffaele , Campo, Marta del , Pascual, Maria, Rodríguez‐Fernández, Blanca , Vilor‐Tejedor, Natàlia

JAMA Neurology | September 15, 2025 | Volume: 82 | Issue: 11 | Pages: 1122

10.1001/jamaneurol.2025.3217 | PMID 40952756 Get It

Importance Advances in Alzheimer disease (AD) have shifted research focus to earlier disease stages, necessitating more scalable approaches to identify cognitively unimpaired individuals with amyloid β (Aβ) pathology. Objective To assess the utility of plasma phosphorylated tau 217 (p-tau217) for classifying Aβ status in cognitively unimpaired individuals, both as a stand-alone test and in a 2-step approach where positive plasma results were confirmed using a second modality (Aβ positron emission tomography [PET] or cerebrospinal fluid [CSF]). Design, Setting, and Participants This cross-sectional cohort study used data collected between June 2009 and March 2024. We included 2916 cognitively unimpaired participants from 12 international independent observational cohorts in the US, Europe, Australia, and Canada with available plasma p-tau217 levels and CSF or PET Aβ biomarkers. Performance comparisons between mass spectrometry and immunoassay-based p-tau217 measurements were also performed (n = 964). Exposures Plasma p-tau217 levels measured by immunoassay. Main Outcome and Measures Aβ status, determined by CSF or Aβ PET biomarkers. Results Participants had a mean (SD) age of 66.9 (9.9) years; 971 (33.3%) were Aβ positive by either CSF or PET, 1667 (57.2%) were women, and 1108 (38.1%) carried at least 1 APOE ε4 allele. As a stand-alone test, plasma p-tau217 achieved a positive predictive value (PPV) of 79% (95% CI, 74-84) and an overall accuracy of 81% (95% CI, 80-82). In a 2-step workflow, the PPV and accuracy significantly increased to 91% (95% CI, 86-95). While this approach required screening of 677 individuals with plasma p-tau217 to identify 100 Aβ-positive individuals, compared to 536 participants when using PET alone, it reduced the need for PET testing to 124. Immunoassays demonstrated comparable PPVs to mass spectrometry (80% [95% CI, 74-86] vs 85% [95% CI, 81-90]; P = .12) but significantly lower overall accuracy (82% [95% CI, 79-84]% vs 88 [95% CI, 86-90]; P < .001) and true Aβ-positive detection rate (49% [95% CI, 43-55] vs 69% [95% CI, 64-75]; P < .001). Conclusions and Relevance The findings highlight the potential of plasma p-tau217 as a stand-alone test—or when used in a sequential 2-step approach alongside PET or CSF testing—as a cost-effective, scalable, and minimally burdensome strategy for identifying preclinical AD. Tailored screening workflows that incorporate p-tau217 can improve efficiency in participant selection for preclinical AD trials and, in the future, help guide access to disease-modifying treatments.
A reply to the comment on “investigating the ‘diabetes paradox’ in Takotsubo cardiomyopathy”
Chia, Jia Ee , Lee, Kwan , Shanmugasundaram, Madhan , Deshmukh, Abhishek , Krittanawong, Chayakrit , Mukherjee, Debabrata , Lavie, Carl J. , Ang, Song P , Chia, Jia Ee , Lee, Kwan S , Deshmukh, Abhishek J , Krittanawong, Chayakrit , Mukherjee, Debabrata , Lavie, Carl J , Ang, Song Peng , Iglesias, José

Postgraduate Medicine | July 21, 2025 | Volume: 137 | Issue: 7 | Pages: 555-556

10.1080/00325481.2025.2537614 | PMID 40689872 Get It

BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023
Kazerooni, Anahita Fathi , Khalili, Nastaran, Liu, Xinyang , Jiang, Zhifan , Pavaine, Julija , Jones, Blaise V. , Sheth, Nakul , McAllister, Aaron S. , Tu, Wenxin , Rodriguez, Andres Fernandez, Shaikh, Ibraheem S , Sanchez-Montano, Mariana , Lai, Hollie Anne , Adewole, Maruf , Albrecht, Jake, Anazodo, Udunna, Anwar, Syed Muhammed, Aristizábal, Alejandro , Baid, Ujjwal , Bergquist, Timothy , Conte, Gian-Marco, Eddy, James A. , Ezhov, Ivan , Gandhi, Deep , Gottipati, Anurag , Haldar, Shuvanjan, Janas, Anastasia , Elaine, Elaine, Karargyris, Alexandros , Kassem, Hasan, Khalili, Neda , Maleki, Nazanin , Meier, Zeke, Saluja, Rachit , Sheller, Micah , Shinohara, Russell Takeshi, Viswanathan, Karthik , Wang, Chunhao , Storm, Phillip B. , Packer, Roger, Hummel, Trent R. , Hoffman, Lindsey M. , Nabavizadeh, Ali , Ware, Jeffrey B., Rood, Brian , Resnick, Adam J., Linguraru, Marius George , Khalili, Nastaran, Haldar, Debanjan , Zapaishchykova, Anna , Shah, Lubdha M. , Prabhu, Sanjay P. , Nandolia, Khanak , Anderson, Hannah, Bagheri, Sina , Borja, Austin J. , Calabrese, Evan , Chung, Verena , Familiar, Ariana , Farahani, Keyvan , Iglesias, Juan Eugenio , Kofler, Florian , LaBella, Dominic , Leemput, Koen Van , Li, Hongwei , Meier, Zeke, Menze, Bjoern H. , Moawad, Ahmed W. , Pati, Sarthak , Piraud, Marie , Poussaint, Tina Young , Reitman, Zachary J. , Rudie, Jeffrey D. , Shinohara, Russell Taki , Wiestler, Benedikt , Wiggins, Walter F. , Davatzikos, Christos , Bornhorst, Miriam , Blank, Peter M K de , Aboian, Mariam , Kann, Benjamin H. , Bakas, Spyridon , Vossough, Arastoo

Machine Learning for Biomedical Imaging | June 26, 2025 | Volume: 3 | Issue: June 2025 | Pages: 72-87

10.59275/j.melba.2025-f6fg Get It

Pediatric central nervous system tumors are the leading cause of cancer-related deaths in children. The five-year survival rate for high-grade glioma in children is less than 20%. The development of new treatments is dependent upon multi-institutional collaborative clinical trials requiring reproducible and accurate centralized response assessment. We present the results of the BraTS-PEDs 2023 challenge, the first Brain Tumor Segmentation (BraTS) challenge focused on pediatric brain tumors. This challenge utilized data acquired from multiple international consortia dedicated to pediatric neuro-oncology and clinical trials. BraTS-PEDs 2023 aimed to evaluate volumetric segmentation algorithms for pediatric brain gliomas from magnetic resonance imaging using standardized quantitative performance evaluation metrics employed across the BraTS 2023 challenges. The top-performing AI approaches for pediatric tumor analysis included ensembles of nnU-Net and Swin UNETR, Auto3DSeg, or nnU-Net with a self-supervised framework. The BraTS-PEDs 2023 challenge fostered collaboration between clinicians (neuro-oncologists, neuroradiologists) and AI/imaging scientists, promoting faster data sharing and the development of automated volumetric analysis techniques. These advancements could significantly benefit clinical trials and improve the care of children with brain tumors.
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.