10 research outputs found

    Federated learning enables big data for rare cancer boundary detection.

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    Although machine learning (ML) has shown promise across disciplines, out-of-sample generalizability is concerning. This is currently addressed by sharing multi-site data, but such centralization is challenging/infeasible to scale due to various limitations. Federated ML (FL) provides an alternative paradigm for accurate and generalizable ML, by only sharing numerical model updates. Here we present the largest FL study to-date, involving data from 71 sites across 6 continents, to generate an automatic tumor boundary detector for the rare disease of glioblastoma, reporting the largest such dataset in the literature (n = 6, 314). We demonstrate a 33% delineation improvement for the surgically targetable tumor, and 23% for the complete tumor extent, over a publicly trained model. We anticipate our study to: 1) enable more healthcare studies informed by large diverse data, ensuring meaningful results for rare diseases and underrepresented populations, 2) facilitate further analyses for glioblastoma by releasing our consensus model, and 3) demonstrate the FL effectiveness at such scale and task-complexity as a paradigm shift for multi-site collaborations, alleviating the need for data-sharing

    Author Correction: Federated learning enables big data for rare cancer boundary detection.

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    10.1038/s41467-023-36188-7NATURE COMMUNICATIONS14

    Federated Learning Enables Big Data for Rare Cancer Boundary Detection

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    Although machine learning (ML) has shown promise across disciplines, out-of-sample generalizability is concerning. This is currently addressed by sharing multi-site data, but such centralization is challenging/infeasible to scale due to various limitations. Federated ML (FL) provides an alternative paradigm for accurate and generalizable ML, by only sharing numerical model updates. Here we present the largest FL study to-date, involving data from 71 sites across 6 continents, to generate an automatic tumor boundary detector for the rare disease of glioblastoma, reporting the largest such dataset in the literature (n = 6, 314). We demonstrate a 33% delineation improvement for the surgically targetable tumor, and 23% for the complete tumor extent, over a publicly trained model. We anticipate our study to: 1) enable more healthcare studies informed by large diverse data, ensuring meaningful results for rare diseases and underrepresented populations, 2) facilitate further analyses for glioblastoma by releasing our consensus model, and 3) demonstrate the FL effectiveness at such scale and task-complexity as a paradigm shift for multi-site collaborations, alleviating the need for data-sharing

    The Impact of Preoperative Frailty on Endoscopic Cerebrospinal Fluid Leak Repair Outcomes in the Anterior Skull Base

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    Background: Measurements of surgical frailty estimate a patient\u27s ability to withstand the physiologic stress of a procedure. There is limited data regarding the impact of frailty on endoscopic cerebrospinal fluid (CSF) leak repair. Methods: Patients undergoing CSF leak repair at two tertiary academic skull base programs were retrospectively reviewed. Demographic, treatment, and postoperative outcomes data were recorded. Frailty was calculated using validated indexes, including the American Society of Anesthesiologists (ASA) classification, Charlson Comorbidity Index (CCI), and the Modified 5-Item Frailty Index (mFI-5). Outcomes included 30-day medical and surgical complications and readmission. Results: A total of 185 patients were included with 128 (69.2%) female patients and average age of 54 ± 14 years. The average BMI was 34.6 ± 8.5. The most common identified etiology was idiopathic intracranial hypertension (IIH) in 64 patients (34.6%). The average duration of leak was 9.31 ± 22.14 months. 125 patients (68%) underwent perioperative lumbar drain placement (primarily to measure intracranial pressures and definitively diagnose IIH). Most patients were ASA class 3 (48.6%) with mean CCI 2.14 ± 2.23 and mFI-5 0.97 ± 0.90. Three patients had postoperative CSF leaks, with an overall repair success rate of 98.4%. There was no association between increased frailty and 30-day medical outcomes (myocardial infarction, cerebrovascular accident, pneumonia, pulmonary embolism/deep vein thrombosis, and meningitis), surgical outcomes (bleeding requiring transfusion, postoperative CSF leak), or readmission (all p \u3e 0.05). Discussion: Endoscopic CSF leak repair in a frail population, including lumbar drain placement and postoperative bedrest, did not have an increased rate of complications. Previous data suggests there are increased complications in open craniotomy procedures in patients with significant comorbidities. Our preliminary data suggests that the endoscopic approach to CSF leak repair may be better tolerated in the frail population

    Complications, Mortality, and Functional Decline in Patients 80 Years or Older Undergoing Major Head and Neck Ablation and Reconstruction

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    Importance Data regarding outcomes after major head and neck ablation and reconstruction in the growing geriatric population (specifically ≥80 years of age) are limited. Such information would be extremely valuable in preoperative discussions with elderly patients about their surgical risks and expected functional outcomes. Objectives To identify patient and surgical factors associated with 30-day postoperative complications, 90-day mortality, and 90-day functional decline; to explore whether an association exists between the type of reconstructive procedure and outcome; and to create a preoperative risk stratification system for these outcomes. Design, Setting, and Participants This retrospective, multi-institutional cohort study included patients 80 years or older undergoing pedicle or free-flap reconstruction after an ablative head and neck surgery from January 1, 2015, to December 31, 2017, at 17 academic centers. Data were analyzed from February 1 through April 20, 2019. Main Outcomes and Measures Thirty-day serious complication rate, 90-day mortality, and 90-day decline in functional status. Preoperative comorbidity and frailty were assessed using the American Society of Anesthesiologists classification, Adult Comorbidity Evaluation–27 score, and Modified Frailty Index. Multivariable clustered logistic regressions were performed. Conjunctive consolidation was used to create a risk stratification system. Results Among 376 patients included in the analysis (253 [67.3%] men), 281 (74.7%) underwent free-flap reconstruction. The median age was 83 years (range, 80-98 years). A total of 193 patients (51.3%) had 30-day serious complications, 30 (8.0%) died within 90 days, and 36 of those not dependent at baseline declined to dependent status (11.0%). Type of flap (free vs pedicle, bone vs no bone) was not associated with these outcomes. Variables associated with worse outcomes were age of at least 85 years (odds ratio [OR] for 90-day mortality, 1.19 [95% CI 1.14-1.26]), moderate or severe comorbidities (OR for 30-day complications, 1.80 [95% CI, 1.34-2.41]; OR for 90-day mortality, 3.33 [95% CI, 1.29-8.60]), body mass index (BMI) of less than 25 (OR for 30-day complications, 0.95 [95% CI, 0.91-0.99]), high frailty (OR for 30-day complications, 1.72 [95% CI, 1.10-2.67]), duration of surgery (OR for 90-day functional decline, 2.94 [95% CI, 1.81-4.79]), flap failure (OR for 90-day mortality, 3.56 [95% CI, 1.47-8.62]), additional operations (OR for 30-day complications, 5.40 [95% CI, 3.09-9.43]; OR for 90-day functional decline, 2.94 [95% CI, 1.81-4.79]), and surgery of the maxilla, oral cavity, or oropharynx (OR for 90-day functional decline, 2.51 [95% CI, 1.30-4.85]). Age, BMI, comorbidity, and frailty were consolidated into a novel 3-tier risk classification system. Conclusions and Relevance Important demographic, clinical, and surgical characteristics were found to be associated with postoperative complications, mortality, and functional decline in patients 80 years or older undergoing major head and neck surgery. Free flap and bony reconstruction were not independently associated with worse outcomes. A novel risk stratification system is presented

    Primer and short-range releaser pheromone properties of premolt female urine from the shore crab Carcinus maenas

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    The European shore crab Carcinus maenas is considered to rely on a female pheromone when mating. Evidence, however, is scarce on how the urine pheromone in itself affects males. We investigated male primer and releaser responses to female pheromones with methods that minimized effects from females, delivering female urine either as a pump-generated plume or deposited on a polyurethane sponge. We delivered the pheromone at different concentrations in far, near, and close/contact range to get a picture of how distance affects behavioral response. Our results show that substances in premolt female urine (PMU) function as primer and potent short-range releaser pheromones. Based on the olfactometer and sponge tests, we conclude that PMU stimulus in itself is sufficient to elicit increased search and mating-specific behaviors such as posing, posing search, cradle carrying, and stroking. Pheromone concentrations do not seem to be important for attenuating search and posing as long as the level is above a certain threshold concentration. Instead, pheromone levels seem to play a role in male acceptance of females, recruiting more males to respond, and generating better responses with increasing concentration
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