{
  "abstract": "Background\n\nPre-partitioned brain tumor MRI collections may place exact or near-duplicate slices on both sides of a benchmark split, but the magnitude and uncertainty of the resulting performance difference are rarely measured.Methods\n\nA unified MedNeXt-B 2D model produced a four-class label and a tumor mask from a shared encoder. For each near-duplicate-screened fold, we constructed a replacement-based contaminated condition of identical size and tumor-class-by-plane composition; this condition was not the original unscreened training pool. Validation folds and the frozen 995-slice test set were identical. Constituent source-dataset matching was not possible because BRISC2025 provides no per-image source provenance. Both conditions were trained with seeds 42, 1,337, 2,024, 3,407, and 5,090. Primary uncertainty summaries used a 10,000-resample hierarchical bootstrap over seeds and inferred pseudo-patient clusters.Results\n\nAcross five seeds, screened accuracy was 0.9652 ± 0.0023 and mean class Dice was 0.7894 ± 0.0031 (mean ± sample SD). Accuracy was higher in the replacement-based contaminated condition by a mean difference of 0.0261 ± 0.0031 (range 0.0211-0.0281; hierarchical 95% CI, 0.0207-0.0318); corresponding mean differences were 0.0315 ± 0.0049 for mean class Dice (range, 0.0252-0.0375; hierarchical 95% CI, 0.0238-0.0394) and 0.0746 ± 0.0055 for meningioma recall (range, 0.0660-0.0792; hierarchical 95% CI, 0.0590-0.0911). The screening surrogate recovers only 5.8% of known same-patient slice pairs in an independent calibration dataset, so the screened condition may retain undetected related slices, and the intervals do not establish patient-level independence.Conclusion\n\nRetaining detected test-linked near-duplicates was associated with higher slice-level benchmark performance in this replacement-matched exploratory analysis.",
  "abstract_shown": true,
  "affiliations": [
    "The First Clinical Medical College, The Affiliated People's Hospital of Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.",
    "Department of Interventional Radiology, The Affiliated People's Hospital of Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China."
  ],
  "article_type": "research article",
  "arxiv": null,
  "author_total": 6,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Yuhan Huang"
    },
    {
      "affs": [
        0
      ],
      "name": "Zhipeng Sun"
    },
    {
      "affs": [
        0
      ],
      "name": "Jinghui Chen"
    },
    {
      "affs": [
        0
      ],
      "name": "Tao Yang"
    },
    {
      "affs": [
        0
      ],
      "name": "Lianxin Xie"
    },
    {
      "affs": [
        1
      ],
      "name": "Xinchen Lin"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/csggxjr1p9h0g.bib",
  "cited_by": 0,
  "doi": "10.3389/fmed.2026.1955863",
  "fulltext_url": "https://europepmc.org/articles/PMC13690018",
  "id": "csggxjr1p9h0g",
  "issns": [
    "2296-858X"
  ],
  "landing_url": "https://europepmc.org/article/MED/42923803",
  "language": "eng",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "2808|Brain Tumor Detection and Classification"
    ]
  ],
  "openalex": "W7220901827",
  "pdf_url": "https://europepmc.org/articles/PMC13690018?pdf=render",
  "pmcid": "PMC13690018",
  "pmid": "42923803",
  "published": "2026-10-08",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/csggxjr1p9h0g.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:20:36Z",
      "native_id": "MED:42923803",
      "source": "europepmc",
      "url": "https://europepmc.org/article/MED/42923803"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2808|Brain Tumor Detection and Classification",
      "subfield": "neurology"
    }
  ],
  "title": "Near-duplicate contamination inflates brain MRI benchmark performance: a size-matched, multi-seed MedNeXt-B study.",
  "title_text": "Near-duplicate contamination inflates brain MRI benchmark performance: a size-matched, multi-seed MedNeXt-B study.",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:20:36Z",
  "url": "https://research.draconitic.com/paper/csggxjr1p9h0g",
  "venue": "Frontiers in medicine",
  "versions": []
}