Intravoxel Incoherent Motion (IVIM) MR Quantification in Locally Advanced Cervical Cancer (LACC): Preliminary Study on Assessment of Tumor Aggressiveness and Response to Neoadjuvant Chemotherapy.

diffusion MRI intravoxel incoherent motion locally advanced cervical cancer tumor-infiltrating lymphocytes

Journal

Journal of personalized medicine
ISSN: 2075-4426
Titre abrégé: J Pers Med
Pays: Switzerland
ID NLM: 101602269

Informations de publication

Date de publication:
15 Apr 2022
Historique:
received: 13 02 2022
revised: 05 04 2022
accepted: 11 04 2022
entrez: 23 4 2022
pubmed: 24 4 2022
medline: 24 4 2022
Statut: epublish

Résumé

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). 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/mm D showed significantly higher values in GR patients ( D extracted from the IVIM model could represent a promising tool to identify tumor aggressiveness and predict response to therapy.

Identifiants

pubmed: 35455755
pii: jpm12040638
doi: 10.3390/jpm12040638
pmc: PMC9027075
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Miriam Dolciami (M)

Department of Radiological, Oncological and Pathological Sciences, Umberto I Hospital, Sapienza University of Rome, 00161 Rome, Italy.

Silvia Capuani (S)

CNR Institute for Complex Systems (ISC), Physics Department, Sapienza University of Rome, 00161 Rome, Italy.

Veronica Celli (V)

Department of Radiological, Oncological and Pathological Sciences, Umberto I Hospital, Sapienza University of Rome, 00161 Rome, Italy.

Alessandra Maiuro (A)

Physics Department, Sapienza University of Rome, 00161 Rome, Italy.

Angelina Pernazza (A)

Department of Radiological, Oncological and Pathological Sciences, Umberto I Hospital, Sapienza University of Rome, 00161 Rome, Italy.

Innocenza Palaia (I)

Department of Maternal and Child Health and Urological Sciences, Umberto I Hospital, Sapienza University of Rome, 00161 Rome, Italy.

Violante Di Donato (V)

Department of Maternal and Child Health and Urological Sciences, Umberto I Hospital, Sapienza University of Rome, 00161 Rome, Italy.

Giusi Santangelo (G)

Department of Maternal and Child Health and Urological Sciences, Umberto I Hospital, Sapienza University of Rome, 00161 Rome, Italy.

Stefania Maria Rita Rizzo (SMR)

Istituto di Imaging della Svizzera Italiana (IIMSI), Ente Ospedaliero Cantonale (EOC), 6900 Lugano, Switzerland.
Facoltà di Scienze Biomediche, Università della Svizzera Italiana, 6900 Lugano, Switzerland.

Paolo Ricci (P)

Department of Radiological, Oncological and Pathological Sciences, Umberto I Hospital, Sapienza University of Rome, 00161 Rome, Italy.
Unit of Emergency Radiology, Department of Radiological, Oncological and Pathological Sciences, Umberto I Hospital, Sapienza University of Rome, 00161 Rome, Italy.

Carlo Della Rocca (C)

Department of Radiological, Oncological and Pathological Sciences, Umberto I Hospital, Sapienza University of Rome, 00161 Rome, Italy.

Carlo Catalano (C)

Department of Radiological, Oncological and Pathological Sciences, Umberto I Hospital, Sapienza University of Rome, 00161 Rome, Italy.

Lucia Manganaro (L)

Department of Radiological, Oncological and Pathological Sciences, Umberto I Hospital, Sapienza University of Rome, 00161 Rome, Italy.

Classifications MeSH