{
  "abstract": "Background/Aim: Texture analysis provides quantitative evaluation of intratumoral heterogeneity of radiopharmaceutical uptake. ComBat harmonization, which reduces batch effects, has been applied in several 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET)/computed tomography (CT) texture analysis studies. In addition, 11C-Choline PET/CT has been reported to be useful for evaluating urological tumors, including prostate cancer. This study investigated whether texture parameters derived from 11C-Choline PET/CT are associated with prostate cancer aggressiveness.\n\nPatients and Methods: A retrospective analysis was performed in 18 patients diagnosed with prostate cancer who underwent 11C-Choline PET/CT examinations. Six texture features were evaluated: entropy, homogeneity, dissimilarity, intensity variability (IV), size-zone variability (SZV) and zone percentage (ZP). Correlation coefficients between the six texture parameters and Gleason score were calculated.\n\nResults: Among the evaluated texture parameters, SZV showed the strongest correlation with Gleason score (ρ=0.45), followed by IV (ρ=0.44), entropy (ρ=0.08), homogeneity (ρ=0.04), ZP (ρ=0.03), and dissimilarity (ρ=-0.02).\n\nConclusion: SZV and IV derived from 11C-Choline PET/CT showed correlations with Gleason score and warrant further investigation as potential imaging biomarkers of prostate cancer aggressiveness.",
  "abstract_shown": true,
  "affiliations": [
    "Department of Radiological Technology, Hyogo Medical University Hospital, Hyogo, Japan",
    "Department of Radiology, Hyogo Medical University, Hyogo, Japan",
    "Department of Urology, Hyogo Medical University, Hyogo, Japan"
  ],
  "article_type": "research article",
  "arxiv": null,
  "author_total": 5,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "TATSUYA TSUCHITANI"
    },
    {
      "affs": [
        1
      ],
      "name": "KAZUHIRO KITAJIMA"
    },
    {
      "affs": [
        0
      ],
      "name": "YOSHIYUKI TAKAHASHI"
    },
    {
      "affs": [
        2
      ],
      "name": "SHINGO YAMAMOTO"
    },
    {
      "affs": [
        1
      ],
      "name": "KOICHIRO YAMAKADO"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/3swx016c0mk35.bib",
  "cited_by": 0,
  "doi": "10.21873/invivo.14523",
  "fulltext_url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC13724001/",
  "id": "3swx016c0mk35",
  "issns": [
    "0258-851X",
    "1791-7549"
  ],
  "landing_url": "https://doi.org/10.21873/invivo.14523",
  "language": "en",
  "licence": "CC-BY-NC-ND-4.0",
  "licence_label": "CC BY-NC-ND 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nc-nd/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "heading",
      "Research Article"
    ],
    [
      "openalex",
      "2741|Radiomics and Machine Learning in Medical Imaging"
    ]
  ],
  "openalex": "W7224634813",
  "pdf_url": "https://iv.iiarjournals.org/content/invivo/40/6/3871.full.pdf",
  "pmcid": "PMC13724001",
  "pmid": "42957231",
  "published": "2026-10-29",
  "publisher": "International Institute of Anticancer Research",
  "ris": "https://research.draconitic.com/paper/3swx016c0mk35.ris",
  "sources": [
    {
      "first_seen": "2026-11-04T12:22:32Z",
      "native_id": "PMC13724001",
      "source": "pmc",
      "url": "https://doi.org/10.21873/invivo.14523"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2741|Radiomics and Machine Learning in Medical Imaging",
      "subfield": "imaging"
    }
  ],
  "title": "Usefulness of Texture Analysis in 11C-Choline PET/CT for Patients With Prostate Cancer",
  "title_text": "Usefulness of Texture Analysis in 11C-Choline PET/CT for Patients With Prostate Cancer",
  "type": "peer-reviewed",
  "updated_at": "2026-11-05T12:20:43Z",
  "url": "https://research.draconitic.com/paper/3swx016c0mk35",
  "venue": "In Vivo",
  "versions": []
}