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Identifying features of prior hemorrhage in cerebral cavernous malformations on quantitative susceptibility maps: a machine learning pilot study
Kinkade, Serena , Li, Hui , Stadnik, Agnieszka , Papaioannou, John , Kim, Helen , Torbey, Michel , Awad, Issam A., Kim, Helen , Hage, Stephanie , Koskimäki, Janne , Lee, Justine C. , Shenkar, Robert , Flemming, Kelly D. , Huang, Judy , Carroll, Timothy , Girard, Romuald , Giger, Maryellen , Awad, Issam A.

Journal of Neurosurgery | July 4, 2025 | Volume: 143 | Issue: 6 | Pages: 1567-1574

10.3171/2025.3.jns243051 | PMID 40614265 Get It

Features of new bleeding on conventional imaging in cerebral cavernous malformations (CCMs) often disappear after several weeks, yet the risk of rebleeding persists long thereafter. Increases in mean lesional quantitative susceptibility mapping (QSM) ≥ 6% on MRI during 1 year of prospective surveillance have been associated with new symptomatic hemorrhage (SH) during that period. The authors hypothesized that QSM at a single time point reflects features of hemorrhage in the prior year or potential bleeding in the subsequent year. Twenty-eight features were extracted from 265 QSM acquisitions in 120 patients enrolled in a prospective trial readiness project, and machine learning methods examined associations with SH and biomarker bleed (QSM increase ≥ 6%) in prior and subsequent years. QSM features including sum variance, variance, and correlation had lower average values in lesions with SH in the prior year (p < 0.05, false discovery rate corrected). A support-vector machine classifier recurrently selected sum average, mean lesional QSM, sphericity, and margin sharpness features to distinguish biomarker bleeds in the prior year (area under the curve = 0.61, 95% CI 0.52–0.70; p = 0.02). No QSM features were associated with a subsequent bleed. These results provide proof of concept that machine learning may derive features of QSM reflecting prior hemorrhagic activity, meriting further investigation. Clinical trial registration no.: NCT03652181 ( ClinicalTrials.gov )
International Delphi Consensus on Medial Meniscal Root Tears Shows High Agreement on Diagnosis, Treatment, and Rehabilitation but Lack of Agreement on Treatment of Asymptomatic Tears
Chahla, Jorge , Chahla, Jorge, García, José Rafael , Tollefson, Luke V. , Dzidzishvili, Lika , Gerhold, Cameron , Krych, Aaron J. , LaPrade, Robert F., Group, Meniscus Root International Expert, Bassett, Ashley J., Bernholt, David L., Bhatia, Sanjeev, Bøe, Berte, Brown, Charles H., Chung, Kyu Sung, Cohen, Moisés, Engebretsen, Lars, Familiari, Filippo, Faucett, Scott C., Feucht, Matthias J., Furumatsu, Takayuki, Geeslin, Andrew G., Getgood, Alan M.J., Hiranaka, Takaaki, Inderhaug, Eivind, Iñiguez, C. Magaly, Johnson, Darren L., Kim, Jin Goo, Kim, Sung‐Hwan, Kodama, Yuya, Kon, Elizaveta, Kopf, Sebastian, LaPrade, Christopher M., Larson, Christopher M., Lee, Dhong Won, Lind, Martin, Logan, Catherine A., López‐Torres, Irene I., Lording, Timothy, Maestu, Rodrigo, Moatshe, Gilbert, Monson, Jill K., Murray, Iain R., Musahl, Volker, Vyhmeister, Roberto Negrin, Okazaki, Yuki, Parker, David, Petersen, Wolf, Riboh, Jonathan C., Seil, Romain, Servien, Elvire, Sonnery‐Cottet, Bertrand, Spalding, Tim, Stevenson, Ciara, Stuart, Michael J., Tanaka, Miho J., Tapasvi, Sachin, Tuca, Maria, Wal, Wybren A. van der, Verma, Nikhil N., Bormann, Richard PB. von, Yanke, Adam B., Krych, Aaron J., Kopf, Sebastian , Krych, Aaron J , Chahla, Jorge A , Chahla, Jorge, Allende, Felicitas , LaPrade, Robert F., Group, Meniscus Root International Expert, Bassett, Ashley J., Bernholt, David L., Bhatia, Sanjeev, Bøe, Berte, Brown, Charles H., Chung, Kyu Sung, Cohen, Moisés, Engebretsen, Lars, Familiari, Filippo, Faucett, Scott C., Feucht, Matthias J., Furumatsu, Takayuki, Geeslin, Andrew G., Getgood, Alan M.J., Hiranaka, Takaaki, Inderhaug, Eivind, Iñiguez, C. Magaly, Johnson, Darren L., Kim, Jin Goo, Kim, Sung‐Hwan, Kodama, Yuya, Kon, Elizaveta , LaPrade, Christopher M., Larson, Christopher M., Lee, Dhong Won, Lind, Martin, Logan, Catherine A., López‐Torres, Irene I., Lording, Timothy, Maestu, Rodrigo, Moatshe, Gilbert, Monson, Jill K., Murray, Iain R., Musahl, Volker, Vyhmeister, Roberto Negrin, Okazaki, Yuki, Parker, David, Petersen, Wolf, Riboh, Jonathan C., Seil, Romain, Servien, Elvire, Sonnery‐Cottet, Bertrand, Spalding, Tim, Stevenson, Ciara, Stuart, Michael J., Tanaka, Miho J., Tapasvi, Sachin, Tuca, Maria, Wal, Wybren A. van der, Verma, Nikhil N., Bormann, Richard PB. von, Yanke, Adam B., Krych, Aaron J.

Arthroscopy | July 3, 2025 | Volume: 41 | Issue: 11 | Pages: 4683-4698

10.1016/j.arthro.2025.06.028 | PMID 40614908 Get It

Purpose To develop an expert consensus statement on the diagnosis, management, and rehabilitation of medial meniscal root tears (MMRTs) using a modified Delphi technique. Methods A working group developed statements on MMRT diagnosis, nonoperative management, surgical indications, surgical management, alignment, and rehabilitation using modified Delphi techniques. Fifty‐six experts were surveyed over 3 rounds to reach consensus, with agreement measured on a 5‐point Likert scale. Statements were included, revised, or excluded on the basis of predefined thresholds (≥75% agreement, <20% disagreement). Experts suggested revisions or new statements in the first 2 rounds, and final consensus statements were included. Results All 56 experts completed 3 survey rounds. Experts agreed that root tears may occur with no known history of trauma, typically in older patients, and that it should be diagnosed with an magnetic resonance imaging. In symptomatic patients with MMRTs without advanced osteoarthritis should be repaired using an anatomic transtibial pull‐out technique (performing a pie‐crusting technique can be helpful for visualization). Nonoperative management is advised for patients with advanced osteoarthritis. High tibial osteotomy may be considered for significant varus malalignment during MMRT repair. The only statement without consensus was the management of asymptomatic MMRTs with mild medial compartment cartilage wear, indicating ongoing debate. Conclusions Overall, 98% of statements reached consensus. There is agreement that magnetic resonance imaging is the gold standard for diagnosis. Symptomatic MMRTs without advanced osteoarthritis should be repaired early using an anatomic transtibial pull‐out technique. End‐stage knee osteoarthritis warrants nonoperative management of MMRTs, and a structured postoperative protocol with limited weightbearing and range of motion is essential after repair. No agreement was reached on managing asymptomatic MMRTs in patients without significant medial compartment degeneration. Meniscal centralization sutures may help in cases of substantial extrusion, but their routine use is debated. Level of Evidence Level V, consensus of expert opinion.
α 2 -adrenergic mechanisms influence sympathetic transduction to blood pressure in humans
Spafford, Julia, Limberg, Jacqueline K. , Iannarelli, Nathaniel , Nicholson, Wayne T. , Shoemaker, J. Kevin , Joyner, Michael J. , Shoemaker, J Kevin , Joyner, Michael J , Klassen, Stephen A. , Harvey, Ronée E. , Wiggins, Chad C. , Senefeld, Jonathon W. , Curry, Timothy B. , Baker, Sarah E.

Physiology | July 1, 2025 | Volume: 40 | Issue: S1 | Pages: No page available

10.1152/physiol.2025.40.s1.1308 Get It

Sympathetic control of human blood pressure is mechanistically regulated by α 2 -adrenergic receptors distributed throughout the nervous system and cardiovascular end-targets. Recently, we discovered the sympathoinhibitory effects of central α 2 -adrenergic mechanisms on human sympathetic neuronal emission patterns. However, our knowledge remains incomplete regarding the impact of α 2 -adrenergic mechanisms on beat-by-beat transduction of muscle sympathetic nerve activity (MSNA) bursts to changes in blood pressure and heart rate (HR). Based on evidence of α 2 -adrenergic receptors within central and peripheral sympathetic neural sites and on the vasculature, this study tested the hypothesis that activation of α 2 -adrenergic receptors with dexmedetomidine (DEX) would reduce sympathetic transduction to blood pressure. In eight healthy participants (5 females; 28 ± 7 years), diastolic blood pressure (DBP; brachial arterial catheter), HR (ECG), and MSNA (peroneal microneurography) were recorded during a 5-minute supine baseline (BSL) and an intravenous DEX infusion consisting of a loading dose (10 minutes at 0.225 μg/kg/hr) and a maintenance dose (~0.15 μg/kg/hr). Signal averaging quantified sympathetic transduction to DBP and HR for 12 cardiac cycles following integrated MSNA bursts. We also quantified sympathetic transduction to DBP using a transduction gain estimate derived from the slope of the linear relationship between the peak DBP response and the number of cardiac cycles until peak DBP response. Data (mean ± SD) are reported for the 5-minute BSL and the last 5-minute period during the DEX infusion. Mixed-effects modeling and t -tests were performed. Non-parametric tests were performed for non-normally distributed data. DEX reduced resting MAP (BSL: 92 ± 7, DEX: 82 ± 6 mmHg: p < 0.001) but did not affect resting HR (BSL: 62 ± 14, DEX: 61 ± 14 bpm; p = 0.853). DEX reduced resting integrated MSNA burst frequency (BSL: 14 ± 6, DEX: 4 ± 3 bursts/min; p = 0.001) and total integrated MSNA (BSL: 663 ± 252, DEX: 188 ± 142 AU/min; p < 0.001). DEX attenuated the DBP transduction response, particularly for the cardiac cycle associated with peak DBP during BSL (cardiac cycle 6: BSL: 4.3 ± 3.2, DEX: 3.3 ± 2.0 mmHg; p = 0.025) and prolonged the time to peak DBP transduction (BSL: 6 ±1, DEX: 10 ± 3 cardiac cycles; p = 0.014). Also, DEX reduced DBP transduction gain (BSL: 1.6 ± 2.4, DEX: 0.9 ± 1.3 mmHg/cardiac cycle; p = 0.029). By contrast, DEX did not affect the mean transduction of MSNA bursts to changes in HR (BSL: 3.2 ± 3.1, DEX: 3.9 ± 4.6 mmHg; p = 0.668). These data suggest that α 2 -adrenergic mechanisms distributed among central and peripheral sympathetic neural regions and the cardiovascular system influence moment-to-moment sympathetic regulation of blood pressure homeostasis, but not HR, in humans. This work was supported by the Natural Sciences and Engineering Research Council of Canada (NSERC) and the National Institutes of Health (NIH). This abstract was presented at the American Physiology Summit 2025 and is only available in HTML format. There is no downloadable file or PDF version. The Physiology editorial board was not involved in the peer review process.
Biological sex affects hysteresis in baroreflex control of human sympathetic neuronal discharge
Spafford, Julia, Iannarelli, Nathaniel , Lynn, Cameron , Limberg, Jacqueline K. , Nicholson, Wayne T. , Shoemaker, J. Kevin , Joyner, Michael J. , Shoemaker, J Kevin , Joyner, Michael J , Harvey, Ronée E. , Wiggins, Chad C. , Senefeld, Jonathon W. , Curry, Timothy B. , Baker, Sarah E. , Klassen, Stephen A.

Physiology | July 1, 2025 | Volume: 40 | Issue: S1 | Pages: No page available

10.1152/physiol.2025.40.s1.0136 Get It

Biological sex impacts baroreflex control of integrated muscle sympathetic nerve activity (MSNA), yet our knowledge remains incomplete regarding sex differences in baroreflex regulation of the differently sized APs contributing to variations in MSNA burst frequency and size. We hypothesized that sex differences in baroreflex control of sympathetic action potential (AP) discharge contribute to higher resting AP activity in males compared to females. We measured diastolic blood pressure (DBP; Finometer or brachial arterial catheter) and MSNA (peroneal microneurography and continuous wavelet transform, APs normalized to 10 clusters) in 24 healthy individuals (aged 18-30, 12 females) during a 5-minute supine baseline. Sympathetic AP baroreflex threshold gain was measured as the slope of the linear relationship between AP discharge probability and DBP. Sympathetic AP baroreflex sensitivity gain was measured as the slope of the linear relationship between AP clusters per burst and DBP. Analyses were performed during DBP rises and falls to explore baroreflex hysteresis. Mixed-effects analyses and t-tests were performed. Data are reported as mean ± SD. In the aggregate cohort, baroreflex control of medium-sized APs exhibited hysteresis. Compared to rises in DBP, DBP falls were associated with greater AP firing probabilities (cluster 3; DBP rise: 20 ± 11, DBP fall: 26 ± 12%; p < 0.01) and greater AP baroreflex gains (cluster 3; DBP rise: -4.36 ± 2.43, DBP fall: -5.32 ± 3.09 %/mmHg; p < 0.01). In the aggregate cohort, baroreflex hysteresis was not detected for small- or large-sized AP clusters (both p ≥ 0.56). Similar observations were detected for medium-sized APs in male (M) and female (F) cohorts when analyses were stratified by sex. Compared to females, males exhibited greater medium-sized AP firing probabilities during DBP rises (cluster 3; M: 23 ± 12, F: 16 ± 8%; p < 0.01) and falls (cluster 3; M: 32 ± 13, F: 20 ± 8%; p < 0.01). However, AP baroreflex gains were not different between sexes during DBP rises (cluster 3; M: -4.87 ± 2.05, F: -3.84 ± 2.75%/mmHg; p = 0.13) and falls (cluster 3; M: -5.87 ± 2.25, F: -4.76 ± 3.77 %/mmHg; p = 0.15). In the aggregate cohort, the number of AP clusters per burst and the AP baroreflex sensitivity gain were not different between rises and falls in DBP. However, compared to females, males demonstrated a greater number of AP clusters per burst during DBP rises (M: 4 ± 0.9, F: 3 ± 0.6 clusters/burst; p < 0.01) and falls (M: 4 ± 0.8, F: 3 ± 0.7 clusters/burst; p < 0.01). No sex differences in AP baroreflex sensitivity gain were detected during DBP rises (M: -0.08 ± 0.09, F: -0.30 ± 0.07 clusters/burst/mmHg; p = 0.14) or falls (M: -0.08 ± 0.08, F: -0.02 ± 0.08 clusters/burst/mmHg; p = 0.09). These data suggest that 1) hysteresis exists in baroreflex regulation of medium-sized but not small or large sympathetic APs firing under baseline conditions and 2) in line with earlier integrated MSNA studies, compared to females, males demonstrate greater resting sympathetic outflow from greater sympathetic AP discharge and more AP clusters firing per burst in periods of rising and falling DBPs. This work was supported by the Natural Sciences and Engineering Research Council of Canada (NSERC) and the National Institutes of Health (NIH). This abstract was presented at the American Physiology Summit 2025 and is only available in HTML format. There is no downloadable file or PDF version. The Physiology editorial board was not involved in the peer review process.
462 Powering Precision Medical Education Through AI-Generated Country-Specific Global Surgery Podcasts: A Low-or-Middle-Income-Country Case Study
Please, Helen , Nsubuga, Moses Luutu , Kintu, Timothy , Bakesiga, Allan , Stewart, Kathleen , Nsubuga, Mike , Stewart, K, Navarro, Sergio M.

British Journal of Surgery | June 26, 2025 | Volume: 112 | Issue: Supplement_10 | Pages: No page available

10.1093/bjs/znaf128.052 Get It

Abstract Aim Develop an AI-generated Global Surgery podcast series tailored to healthcare professionals’ needs in specific countries, focussing on Uganda as a pilot. This precision education model addresses disparities in global surgical education, historically driven by high-income countries (HICs). Podcasts were chosen for their scalability, accessibility, and self-directed learning. Method Building on prior data from our international trainee-based needs assessment (145 survey respondents from 18 countries; 94 from Low-and-Middle-Income-Countries, LMICs; 51 from High-Income-Countries, HICs). Generative AI (ChatGPT 4.0, OpenAI) and prompt engineering were used to develop a global surgery curriculum from survey data from Ugandan respondents (selected because Uganda had one of the highest response rates, n=31). The resultant curriculum was then adapted into a podcast format featuring country-specific themes using NotebookLM (Google), using a format of exercises, case studies, and expert interviews. Results The preliminary outputs of the survey and podcasts highlight diverse country-specific priorities; for HICs these include access to resources, research opportunities, and infrastructure development; for LMICs they emphasise the burden of surgical disease, use of local case studies, and foundational concepts in global surgery. Conclusions By tailoring content to regional needs and leveraging storytelling to foster engagement, podcasts can complement traditional curricula to address gaps in access and relevance. Limitations include current AI-generative software offering only US accents, which may not suit learners elsewhere, reflecting concerns about HICs bias in AI-generated content. Future research will validate the podcasts through focus groups with Ugandan surgical trainees, and explore speech-processing for regional accents, or blending human voice with AI-generated transcripts.
Use of Rectal Diazepam to Prevent Bladder Spasms and Leakage of Medication During Intravesical Administration of Nadofaragene Firadenovec for Bacillus Calmette-Guérin–Unresponsive Nonmuscle-Invasive Bladder Cancer
Moyer, Jacob A. , Durant, Adri , Nguyen, Mimi V., Mi, Lanyu , Zganjar, Andrew , Shah, Paras , Boorjian, Stephen A. , Tyson, Mark D. , Zganjar, Andrew J., Lyon, Timothy D.

Journal of Urology | June 26, 2025 | Volume: 214 | Issue: 4 | Pages: 393-399

10.1097/ju.0000000000004658 | PMID 40569326 Get It

Foam sclerotherapy for symptomatic cysts in ADPKD, ADPLD and solitary cysts
Neidert, Newton B. , Kseibi, Firas, Martin, William P. , Bugazia, Seif, Bendel, Emily C. , Howe, Cassie, Helland, Ryan, Gregory, Adriana , Liestikow, Kathleen, Kline, Timothy L. , Vaughan, Lisa E. , Hogan, Marie C. , Neidert, Newton, Kline, Timothy, Hogan, Marie C , Torres, Vicente E.

Nephrology Dialysis Transplantation | June 26, 2025 | Volume: 40 | Issue: 11 | Pages: 2169-2181

10.1093/ndt/gfaf111 | PMID 40586687 Get It

ABSTRACT Background This medical center migrated from alcohol to sotradecol foam sclerotherapy (SFS) because of perceived improved efficacy in managing symptomatic kidney and liver cysts. We report technical aspects, change in short- and long-term cyst volumes, patient-reported outcomes, safety and applications of the technique. Methods In this retrospective observational study, cases from January 2017 to December 2021 had TKCV/TLCV (per Targeted Kidney or Liver or Cyst analysis) segmented using a deep-learning algorithm and cyst segmentation software (pre-, post-procedure and longitudinally). TKCV/TLCV % change were evaluated using the one-sample Wilcoxon signed rank test. For analyses involving changes in cyst volumes, the median % change in cyst volume per patient was assessed. Longitudinal changes in cyst volumes were assessed using linear mixed models. Changes in quality of life (QOL) [Linear Analog Self-Assessment (LASA), Polycystic Liver Disease Quality of life Questionnaire (PLD-Q) and 12-item short-form (SF12)] were also assessed. Results There were 102 SFS sessions (38 kidney, 58 liver, 6 combined liver/kidney cysts) performed on 77 unique individuals included for analysis. Median [interquartile range (IQR)] % reductions in TKCV were –92.0% (IQR –98.2%, –82.7%, P &lt; .001) and for TLCV were –83.1% (IQR –93.5%, –52.9%, P &lt; .001). Among patients with multiple kidney procedures (n = 7), median % reduction in TKCV was –94.3% (IQR –96.6%, –92.4%, P = .023). For patients with multiple liver procedures (n = 11), median % reduction in TLCV was –63.3% (IQR –85.2%, –28.3%, P = .004). Results were similar among the four patients undergoing multi-stage procedures (n = 1 kidney, n = 3 liver). When measured longitudinally, both liver and kidney cyst volumes declined to levels near 0 mL by 1 year follow-up and remained stable several years later. LASA physical domain and PLD-Q QOL scores improved post-SFS procedure. Conclusion SFS led to substantial long-term reductions in TKCV/TLCV and improved QOL. SFS can augment cyst volume reduction in addition to tolvaptan (kidney cysts) and octreotide (liver cysts). In some individuals with large symptomatic cysts, multiple SFS procedures were safe and effective in reducing TLCV/TKCV and improving symptoms.
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.
Consensus guideline for the management of gastric cancer with synchronous peritoneal metastases
Butensky, Samuel D. , Bansal, Varun , Su, David , Waheed, Muhammad Talha , Nikiforchin, Andrei , Gomez‐Mayorga, Jorge L. , Radomski, Shannon N. , Sun, Beatrice J. , Turaga, Kiran K. , Gunderson, Craig G. , Lacy, Jill , In, Haejin, Kennedy, Timothy J., Yoon, Harry H. , Sundar, Raghav , Ly, Quan P. , Fackche, Nadege , Chan, Carlos H.F. , Maron, Steven B. , Hoehn, Richard S. , Bansal, Varun V , Su, David G , Radomski, Shannon N , Turaga, Kiran K , Badgwell, Brian D , Yoon, Harry H , Chan, Carlos H F , Hoehn, Richard , Olecki, Elizabeth Josephine , Badgwell, Brian D. , In, Haejin , Greer, Jonathan B. , Woo, Yanghee

Cancer | June 25, 2025 | Volume: 131 | Issue: 13 | Pages: No page available

10.1002/cncr.35870 | PMID 40558029 Get It

AbstractBackgroundGastric cancer with synchronous peritoneal metastases is a debilitating disease with limited treatment options. This article describes an update of the 2018 Chicago Consensus guidelines addressing the management of gastric cancer with synchronous peritoneal metastases in line with the most recent evidence.MethodsA clinical management pathway was updated through two rounds of a Delphi consensus to assess agreement levels with pathway blocks. Supporting evidence underwent evaluation using a rapid literature review. Meta‐analyses were performed as appropriate.ResultsOverall, the level of evidence in this disease subset was low to moderate. Of 124 participants in the first round, 109 (88%) responded in the second round. Strong consensus (>90%) was achieved in six of eight blocks (75%) in rounds 1 and 2. A multidisciplinary preoperative assessment and diagnostic laparoscopy should be offered to all patients, whereas patients with a high burden of disease or progression should undergo nonsurgical management. Patients with stable/responsive disease and a low peritoneal carcinomatosis index should subsequently be offered treatment with regional therapeutic interventions and cytoreductive surgery. In patients who are cytology‐positive, systemic therapy can be used to convert them to cytology‐negative, with subsequent surgery offered according to the patient's goals of care. Meta‐analysis of observational and randomized control trials revealed a survival benefit with the addition of intraperitoneal chemotherapy to cytoreductive surgery (hazard ratio, 0.52).ConclusionsThe consensus‐driven clinical pathway for gastric cancer with synchronous peritoneal metastases offers vital clinical guidance for practitioners. There is a growing body of high‐quality evidence to support management strategies, and future clinical trials are eagerly awaited.