{
  "abstract": "Background: The imaging-defined peritumoral region may contain quantitative imaging information beyond that captured by the tumor core, but its radiomic deviation from normal-appearing breast parenchyma remains insufficiently characterized. This retrospective single-center study investigated whether peritumoral-to-normal radiomic distances exceed the within-patient bilateral normal-appearing parenchymal reference distance. Fifty-six patients with histopathologically confirmed breast cancer and preoperative bilateral dynamic contrast-enhanced MRI were included. Methods: Single-slice radiomic analysis was performed for four predefined regions: tumor core (T), peritumoral microenvironment (M), remote ipsilateral normal-appearing parenchyma (I), and contralateral normal-appearing parenchyma (C). After quality control, 101 radiomic features were standardized and analyzed using standardized Euclidean, Manhattan, cosine, and Ledoit–Wolf Mahalanobis distances. Peritumoral-to-ipsilateral (dMI) and peritumoral-to-contralateral (dMC) distances were compared with the within-patient bilateral normal-appearing parenchymal distance (dIC). Results: Across all four metrics, both dMI and dMC exceeded dIC, and all eight primary paired Wilcoxon comparisons remained significant after Benjamini–Hochberg correction (q≤1.07×10−6), with matched-pairs rank-biserial correlations ranging from 0.749 to 0.989. The principal pattern was broadly preserved across alternative Mahalanobis covariance formulations, reduced-dimensional PCA analyses, particularly when three or four principal components were retained, exclusion of all 13 retained shape features, separate radiomic feature-family analyses, and replacement of selected non-normalized non-uniformity features with normalized counterparts. Conclusions: These findings show that, in the present cohort, peritumoral-to-normal radiomic distances exceeded the within-patient bilateral normal-appearing parenchymal reference distance. Because the four analyzed regions differed in size, shape, and sampling geometry, the reported distances should be interpreted as region-level radiomic differences under the present ROI definitions rather than as geometry-independent tissue properties. Larger multi-institutional studies using full-volume three-dimensional radiomics and standardized imaging and preprocessing strategies are needed to assess reproducibility, clarify the biological correlates of this radiomic pattern, and evaluate its potential clinical relevance.",
  "abstract_shown": true,
  "affiliations": [
    "Department of Information Systems Engineering, Faculty of Technology, Kocaeli University, Kocaeli 41001, Türkiye",
    "Department of Radiology, Faculty of Medicine, Istanbul Okan University, İstanbul 34959, Türkiye",
    "Department of General Surgery, Faculty of Medicine, Istanbul Okan University, İstanbul 34959, Türkiye",
    "Department of Radiology, Faculty of Medicine, Kocaeli University, Kocaeli 41001, Türkiye",
    "Department of Electronics and Telecommunication, Faculty of Engineering, Kocaeli University, Kocaeli 41001, Türkiye",
    "KOU Teknopark, EVSTEK Bilişim Teknolojileri A.Ş., Kocaeli 41275, Türkiye"
  ],
  "article_type": "research article",
  "arxiv": null,
  "author_total": 5,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Zeynep Hilal Kilimci",
      "orcid": "0000-0003-1497-305X"
    },
    {
      "affs": [
        1
      ],
      "name": "Demet Doğan"
    },
    {
      "affs": [
        2
      ],
      "name": "Kağan Gökçe",
      "orcid": "0000-0003-4712-0512"
    },
    {
      "affs": [
        3
      ],
      "name": "Özgür Çakır"
    },
    {
      "affs": [
        4,
        5
      ],
      "name": "Oğuzhan Urhan",
      "orcid": "0000-0002-0352-1560"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/7j52r8d6kk9vz.bib",
  "cited_by": 0,
  "doi": "10.3390/cancers18203347",
  "fulltext_url": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13702525/?tool=EBI",
  "id": "7j52r8d6kk9vz",
  "issns": [
    "2072-6694"
  ],
  "landing_url": "https://www.mdpi.com/2072-6694/18/20/3347",
  "language": "eng",
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "2741|Radiomics and Machine Learning in Medical Imaging"
    ]
  ],
  "openalex": "W7222701559",
  "pdf_url": "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13702525/pdf/?tool=EBI",
  "pmcid": "PMC13702525",
  "pmid": null,
  "published": "2026-10-01",
  "publisher": "MDPI AG",
  "ris": "https://research.draconitic.com/paper/7j52r8d6kk9vz.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:19:58Z",
      "native_id": "10.3390/cancers18203347",
      "source": "crossref",
      "url": "https://www.mdpi.com/2072-6694/18/20/3347"
    },
    {
      "first_seen": "2026-10-30T12:21:47Z",
      "native_id": "PMC:PMC13702525",
      "source": "europepmc",
      "url": "https://europepmc.org/article/PMC/PMC13702525"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2741|Radiomics and Machine Learning in Medical Imaging",
      "subfield": "imaging"
    }
  ],
  "title": "Peritumoral Radiomic Deviation on DCE-MRI Exceeds the Bilateral Normal-Appearing Parenchymal Distance in Breast Cancer: A Within-Patient Multi-Metric Study",
  "title_text": "Peritumoral Radiomic Deviation on DCE-MRI Exceeds the Bilateral Normal-Appearing Parenchymal Distance in Breast Cancer: A Within-Patient Multi-Metric Study",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:21:47Z",
  "url": "https://research.draconitic.com/paper/7j52r8d6kk9vz",
  "venue": "Cancers",
  "versions": []
}