Camilla Russo1, Andrea Elefante2, Michele Cavaliere3, Antonella M Di Lullo3, Gaetano Motta4, Maurizio Iengo3, Arturo Brunetti2. 1. Dipartimento di Scienze Biomediche Avanzate - Università degli Studi di Napoli "Federico II", Naples, Italy. Electronic address: camilla_russo@hotmail.it. 2. Dipartimento di Scienze Biomediche Avanzate - Università degli Studi di Napoli "Federico II", Naples, Italy. 3. Dipartimento di Neuroscienze, Scienze Riproduttive e Odontostomatologiche - Università degli Studi di Napoli "Federico II", Naples, Italy. 4. Dipartimento di Scienze Anestesiologiche, Chirurgiche e dell'Emergenza - Università degli Studi della Campania "Luigi Vanvitelli", Naples, Italy.
Abstract
PURPOSE: Beside the well-known accuracy of non-EPI DWI techniques and relative ADC maps in detecting cholesteatomatous tissue, ADC can also represent a useful tool for stratifying cholesteatoma risk of recurrence. Aim of this study is to test the role of ADC in determining risk of recurrence for primary middle ear cholesteatoma, proposing stratification based on pre-operative mean (mADC) and normalized (nADC) ADC values. METHODS: In this prospective study, 60 patients with primary unilateral middle ear cholesteatoma underwent a three-years-long follow-up to assess the presence of recurrent disease after macroscopically complete excisional surgery. Baseline MRI examination mADC and nADC values in the group with early evidence of recurrent cholesteatoma were compared to the group with no evidence of recurrence by using T statistics. RESULTS: ADC values on pre-operative MRI examination were lower in cholesteatomas with early evidence of recurrence, and statistical significance was slightly higher for nADC compared to mADC measurements. We also determined a cut-off between the two groups, proposing stratification in high-risk of recurrence cholesteatomas (mADC≤ 1000 or nADC< 1.3) and low-risk cholesteatomas (mADC>1000 or nADC≥1.3). CONCLUSIONS: ADC values resulted discriminating in identifying cholesteatomas with higher risk of early recurrence, both for mean and normalized ADC, with optimized tissue characterization and outcome prediction.
PURPOSE: Beside the well-known accuracy of non-EPI DWI techniques and relative ADC maps in detecting cholesteatomatous tissue, ADC can also represent a useful tool for stratifying cholesteatoma risk of recurrence. Aim of this study is to test the role of ADC in determining risk of recurrence for primary middle ear cholesteatoma, proposing stratification based on pre-operative mean (mADC) and normalized (nADC) ADC values. METHODS: In this prospective study, 60 patients with primary unilateral middle ear cholesteatoma underwent a three-years-long follow-up to assess the presence of recurrent disease after macroscopically complete excisional surgery. Baseline MRI examination mADC and nADC values in the group with early evidence of recurrent cholesteatoma were compared to the group with no evidence of recurrence by using T statistics. RESULTS: ADC values on pre-operative MRI examination were lower in cholesteatomas with early evidence of recurrence, and statistical significance was slightly higher for nADC compared to mADC measurements. We also determined a cut-off between the two groups, proposing stratification in high-risk of recurrence cholesteatomas (mADC≤ 1000 or nADC< 1.3) and low-risk cholesteatomas (mADC>1000 or nADC≥1.3). CONCLUSIONS: ADC values resulted discriminating in identifying cholesteatomas with higher risk of early recurrence, both for mean and normalized ADC, with optimized tissue characterization and outcome prediction.
Authors: Michele Cavaliere; Antonella Miriam Di Lullo; Camilla Russo; Massimo Mesolella; Elena Cantone; Giuseppe Di Lorenzo; Gaetano Motta; Andrea Elefante Journal: Front Neurol Date: 2021-02-24 Impact factor: 4.003
Authors: Eric L Wisotzky; Jean-Claude Rosenthal; Ulla Wege; Anna Hilsmann; Peter Eisert; Florian C Uecker Journal: Sensors (Basel) Date: 2020-09-17 Impact factor: 3.576
Authors: Antonella M Di Lullo; Camilla Russo; Piera Piroli; Alessandra Petti; Pasquale Capriglione; Elena Cantone; Gaetano Motta; Maurizio Iengo; Andrea Elefante; Michele Cavaliere Journal: Am J Case Rep Date: 2020-08-18