The aim of this study was to determine whether quantitative parameters obtained from intravoxel incoherent motion (IVIM) model at baseline magnetic resonance imaging (MRI) correlate with histological parameters and response to neoadjuvant chemotherapy in patients with locally advanced cervical cancer (LACC). Methods: Twenty patients with biopsy-proven cervical cancer, staged as LACC on baseline MRI and addressed for neoadjuvant chemotherapy were enrolled. At treatment completion, tumor response was assessed with a follow-up MRI evaluated using the revised response evaluation criteria in solid tumors (RECIST; version 1.1), and patients were considered good responders (GR) if they had complete response or partial remission, and poor responders/non-responders (PR/NR) if they had stable or progressive disease. MRI protocol included conventional diffusion-weighted imaging (DWI; b = 0 and 1000 s/mm2) and IVIM acquisition using eight b-values (range: 0–1500 s/mm2). MR-images were analyzed using a dedicated software to obtain quantitative parameters: diffusion (D), pseudo-diffusion (D*), and perfusion fraction (fp) from the IVIM model; apparent diffusion coefficient (ADC) from conventional DWI. Histologic subtype, grading, and tumor-infiltrating lymphocytes (TILs) were assessed in each LACC. Results: D showed significantly higher values in GR patients (p = 0.001) and in moderate/high TILs (p = 0.018). Fp showed significantly higher values in squamous cell tumors (p = 0.006). Conclusions: D extracted from the IVIM model could represent a promising tool to identify tumor aggressiveness and predict response to therapy.

Intravoxel incoherent motion (IVIM) MR quantification in locally advanced cervical cancer (LACC): preliminary study on assessment of tumor aggressiveness and response to neoadjuvant chemotherapy / Dolciami, M.; Capuani, S.; Celli, V.; Maiuro, A.; Pernazza, A.; Palaia, I.; Di Donato, V.; Santangelo, G.; Rizzo, S. M. R.; Ricci, P.; Della Rocca, C.; Catalano, C.; Manganaro, L.. - In: JOURNAL OF PERSONALIZED MEDICINE. - ISSN 2075-4426. - 12:4(2022). [10.3390/jpm12040638]

Intravoxel incoherent motion (IVIM) MR quantification in locally advanced cervical cancer (LACC): preliminary study on assessment of tumor aggressiveness and response to neoadjuvant chemotherapy

Dolciami M.
Primo
Writing – Original Draft Preparation
;
Capuani S.
Secondo
;
Celli V.;Maiuro A.;Pernazza A.;Palaia I.;Di Donato V.;Santangelo G.;Ricci P.
Writing – Review & Editing
;
Della Rocca C.
Writing – Review & Editing
;
Catalano C.
Penultimo
Supervision
;
Manganaro L.
Ultimo
Conceptualization
2022

Abstract

The aim of this study was to determine whether quantitative parameters obtained from intravoxel incoherent motion (IVIM) model at baseline magnetic resonance imaging (MRI) correlate with histological parameters and response to neoadjuvant chemotherapy in patients with locally advanced cervical cancer (LACC). Methods: Twenty patients with biopsy-proven cervical cancer, staged as LACC on baseline MRI and addressed for neoadjuvant chemotherapy were enrolled. At treatment completion, tumor response was assessed with a follow-up MRI evaluated using the revised response evaluation criteria in solid tumors (RECIST; version 1.1), and patients were considered good responders (GR) if they had complete response or partial remission, and poor responders/non-responders (PR/NR) if they had stable or progressive disease. MRI protocol included conventional diffusion-weighted imaging (DWI; b = 0 and 1000 s/mm2) and IVIM acquisition using eight b-values (range: 0–1500 s/mm2). MR-images were analyzed using a dedicated software to obtain quantitative parameters: diffusion (D), pseudo-diffusion (D*), and perfusion fraction (fp) from the IVIM model; apparent diffusion coefficient (ADC) from conventional DWI. Histologic subtype, grading, and tumor-infiltrating lymphocytes (TILs) were assessed in each LACC. Results: D showed significantly higher values in GR patients (p = 0.001) and in moderate/high TILs (p = 0.018). Fp showed significantly higher values in squamous cell tumors (p = 0.006). Conclusions: D extracted from the IVIM model could represent a promising tool to identify tumor aggressiveness and predict response to therapy.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1657730
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