Imagen de Portada
Código QR

MRI in Oral Tongue Squamous Cell Carcinoma: A Radiomic Approach in the Local Recurrence Evaluation.

(1) Background: Oral tongue squamous cell carcinoma (OTSCC) is a prevalent malignancy with high loco-regional recurrence. Advanced imaging biomarkers are critical for stratifying patients at a high risk of recurrence. This study aimed to develop MRI-based radiomic models to predict loco-regional rec...

Descripción completa

Publicado en:Current Oncology Vol. 32; no. 2; pp. 116 - 134
Autores principales: Vidiri, Antonello, Dolcetti, Vincenzo, Mazzola, Francesco, Lucchese, Sonia, Laganaro, Francesca, Piludu, Francesca, Pellini, Raul, Covello, Renato, Marzi, Simona
Formato: Journal Article
Publicado: MDPI Feb2025
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=183289093&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 183289093
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        11980052
        5EKK
      jtl: Current Oncology
      issn: 11980052
      maglogo: N
    pubinfo:
      dt: Feb2025
      vid: 32
      iid: 2
      pid: 97109
      pub: MDPI
    artinfo:
      ui:
        183289093
        10.3390/curroncol32020116
        183289093
      ppf: 116
      ppct: 18
      formats:
        fmt:
          – @attributes:
              type: T
          – @attributes:
              type: P
      tig:
        atl: MRI in Oral Tongue Squamous Cell Carcinoma: A Radiomic Approach in the Local Recurrence Evaluation.
      aug:
        au:
          Vidiri, Antonello
          Dolcetti, Vincenzo
          Mazzola, Francesco
          Lucchese, Sonia
          Laganaro, Francesca
          Piludu, Francesca
          Pellini, Raul
          Covello, Renato
          Marzi, Simona
        affil: Radiology Unit, IRCCS Regina Elena National Cancer Institute, Via Elio Chianesi 53, 00144 Rome, Italy
      sug:
      ab: (1) Background: Oral tongue squamous cell carcinoma (OTSCC) is a prevalent malignancy with high loco-regional recurrence. Advanced imaging biomarkers are critical for stratifying patients at a high risk of recurrence. This study aimed to develop MRI-based radiomic models to predict loco-regional recurrence in OTSCC patients undergoing surgery. (2) Methods: We retrospectively selected 92 patients with OTSCC who underwent MRI, followed by surgery and cervical lymphadenectomy. A total of 31 patients suffered from a loco-regional recurrence. Radiomic features were extracted from preoperative post-contrast high-resolution MRI and integrated with clinical and pathological data to develop predictive models, including radiomic-only and combined radiomic–clinical approaches, trained and validated with stratified data splitting. (3) Results: Textural features, such as those derived from the Gray-Level Size-Zone Matrix, Gray-Level Dependence Matrix, and Gray-Level Run-Length Matrix, showed significant associations with recurrence. The radiomic-only model achieved an accuracy of 0.79 (95% confidence interval: 0.69, 0.87) and 0.74 (95% CI: 0.54, 0.89) in the training and validation set, respectively. Combined radiomic and clinical models, incorporating features like the pathological depth of invasion and lymph node status, provided comparable diagnostic performances. (4) Conclusions: MRI-based radiomic models demonstrated the potential for predicting loco-regional recurrence, highlighting their increasingly important role in advancing precision oncology for OTSCC.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N