Original Articles Open access

DIAGNOSTIC ACCURACY OF IXIP INDEX AND PROSTATE MRI IN THE DIAGNOSIS OF PROSTATE CANCER: PRELIMINARY RESULTS ON A COMBINED APPROACH

Authors

  • Giuseppe Cutaia – articles in this journal Corresponding author Email Section of Radiology, Department of Biomedicine, Neuroscience and Advanced Diagnostics (Bi.N.D.), University of Palermo. Via del Vespro 129, 90127 Palermo, Italy; Department of Health Promotion, Mother and Child Care. Internal Medicine and Medical Specialties (PROMISE), University of Palermo, Palermo, Italy, Italy.
  • Roberto Cannella – articles in this journal Section of Radiology, Department of Biomedicine, Neuroscience and Advanced Diagnostics (Bi.N.D.), University of Palermo. Via del Vespro 129, 90127 Palermo, Italy; Department of Health Promotion, Mother and Child Care. Internal Medicine and Medical Specialties (PROMISE), University of Palermo, Palermo, Italy, Italy.
  • Giuseppe Coraci – articles in this journal Fondazione HSR G. Giglio, Urology Unit, Cefalù, Italy, Italy.
  • Pierpaolo Purpura – articles in this journal Fondazione HSR G. Giglio, Radiodiagnostic Unit, Cefalù, Italy, Italy.
  • Federica Vernuccio – articles in this journal Section of Radiology, Department Biomedicine, Neuroscience of and Advanced Diagnostics (Bi.N.D.), University of Palermo, Via del Vespro 129, 90127, Palermo, Italy, Italy.
  • Claudio Leto – articles in this journal Section of Radiology, Department of Biomedicine, Neuroscience and Advanced Diagnostics (Bi.N.D.), University of Palermo. Via del 129, 90127 Vespro, Palermo, Italy, Italy.
  • Sara Rubino – articles in this journal Section of Radiology, Department of Biomedicine, Neuroscience and Advanced Diagnostics (Bi.N.D.), University of Palermo. Via del 129, 90127 Vespro, Palermo, Italy, Italy.
  • Mauro Calamia – articles in this journal Section of Radiology, Department of Biomedicine, Neuroscience and Advanced Diagnostics (Bi.N.D.), University of Palermo, Via del Vespro 129, 90127 Palermo, Italy, Italy.
  • Elisabetta Raitano – articles in this journal Section of Radiology, Department of Biomedicine, Neuroscience and Advanced Diagnostics (Bi.N.D.), University of Palermo, Via del Vespro 129, 90127 Palermo, Italy, Italy.
  • Leonardo Salvaggio – articles in this journal Section of Radiology, Department of Biomedicine, Neuroscience and Advanced Diagnostics (Bi.N.D.), University of Palermo, Via del Vespro 129, 90127 Palermo, Italy, Italy.
  • Giuseppe La Tona – articles in this journal Section of Radiology, Department of Biomedicine, Neuroscience and Advanced Diagnostics (Bi.N.D.), University of Palermo, Via del Vespro 129, 90127 Palermo, Italy, Italy.
  • Massimo Midiri – articles in this journal Section of Radiology, Department of Biomedicine, Neuroscience and Advanced Diagnostics (Bi.N.D.), University of Palermo, Via del Vespro 129, 90127 Palermo, Italy, Italy.
  • Giuseppe Salvaggio – articles in this journal Section of Radiology, Department of Biomedicine, Neuroscience and Advanced Diagnostics (Bi.N.D.), University of Palermo, Via del Vespro 129, 90127 Palermo, Italy, Italy.
Published
15 October 2025
Section
Original Articles

Abstract

The purpose of this study was to assess whether Immune CompleX Predictive Index (iXip)
improves diagnostic accuracy of multiparametric prostate MRI (mpMRI) for clinically significant
prostate cancer. This study included 72 patients (mean age: 68±8 years) with suspicion of prostate
cancer and available iXip score. mpMRI images were evaluated by two radiologists according to
the PI-RADS v2.1. Reference standard was based on fusion biopsy and standard transperineal 12-
point biopsy. Diagnostic accuracy of iXip, mpMRI and their combination were calculated. Optimal
cutoff of iXip with sensitivity and specificity was identified using the Youden index. Patients with
clinically significant prostate cancers had significantly higher iXip values compared to patients
without clinically significant prostate cancers (median 0.411 vs 0.273; p=0.026). The AUROC for
iXip was 0.795 (95% CI 0.579-1.000, p=0.026). Sensitivity and specificity were 75% and 100%
respectively for mpMRI alone, and 100% and 80% respectively for mpMRI combined with iXip >
0.375. The combination of mpMRI with a cutoff value of iXip > 0.375 has a very high sensitivity
for the diagnosis of prostate cancer and a moderately high specificity.

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