Does restaging MRI radiomics analysis improve pathological complete response prediction in rectal cancer patients? A prognostic model development

Riccardo Manfredi, Vincenzo Valentini, Maria Antonietta Gambacorta, Giuditta Chiloiro, Davide Cusumano, Jacopo Lenkowicz, Luca Boldrini, Davide Carano, Nicola Dinapoli, Elisa Meldolesi

Risultato della ricerca: Contributo in rivistaArticolo in rivista

Abstract

Purpose: Our study investigated the contribution that the application of radiomics analysis on post-treatment magnetic resonance imaging can add to the assessments performed by an experienced disease-specific multidisciplinary tumor board (MTB) for the prediction of pathological complete response (pCR) after neoadjuvant chemoradiotherapy (nCRT) in locally advanced rectal cancer (LARC). Materials and methods: This analysis included consecutively retrospective LARC patients who obtained a complete or near-complete response after nCRT and/or a pCR after surgery between January 2010 and September 2019. A three-step radiomics features selection was performed and three models were generated: a radiomics model (rRM), a multidisciplinary tumor board model (yMTB) and a combined model (CM). The predictive performance of models was quantified using the receiver operating characteristic (ROC) curve, evaluating the area under curve (AUC). Results: The analysis involved 144 LARC patients; a total of 232 radiomics features were extracted from the MR images acquired post-nCRT. The yMTB, rRM and CM predicted pCR with an AUC of 0.82, 0.73 and 0.84, respectively. ROC comparison was not significant (p = 0.6) between yMTB and CM. Conclusion: Radiomics analysis showed good performance in identifying complete responders, which increased when combined with standard clinical evaluation; this increase was not statistically significant but did improve the prediction of clinical response.
Lingua originaleEnglish
pagine (da-a)11-20
Numero di pagine10
RivistaLA RADIOLOGIA MEDICA
Volume127
DOI
Stato di pubblicazionePubblicato - 2022

Keywords

  • Adult
  • Aged
  • Aged, 80 and over
  • Cohort Studies
  • Female
  • Humans
  • Magnetic Resonance Imaging
  • Magnetic resonance imaging
  • Male
  • Middle Aged
  • Multidisciplinary tumor board
  • Neoadjuvant Therapy
  • Neoadjuvant chemoradiation
  • Neoplasm Staging
  • Predictive Value of Tests
  • Prognosis
  • Radiomics
  • Rectal Neoplasms
  • Rectal cancer
  • Rectum
  • Response prediction
  • Retrospective Studies
  • Treatment Outcome

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