Rossi, Alice
(2025)
Whole Body MRI (WB-MRI) in patients affected by monoclonal plasma cell disorders, [Dissertation thesis], Alma Mater Studiorum Università di Bologna.
Dottorato di ricerca in
Scienze e tecnologie della salute, 37 Ciclo. DOI 10.48676/unibo/amsdottorato/11940.
Documenti full-text disponibili:
![Tesi PhD Alice Rossi.pdf [thumbnail of Tesi PhD Alice Rossi.pdf]](https://amsdottorato.unibo.it/style/images/fileicons/application_pdf.png) |
Documento PDF (English)
- Richiede un lettore di PDF come Xpdf o Adobe Acrobat Reader
Disponibile con Licenza: Salvo eventuali più ampie autorizzazioni dell'autore, la tesi può essere liberamente consultata e può essere effettuato il salvataggio e la stampa di una copia per fini strettamente personali di studio, di ricerca e di insegnamento, con espresso divieto di qualunque utilizzo direttamente o indirettamente commerciale. Ogni altro diritto sul materiale è riservato.
Download (2MB)
|
Abstract
Purpose
This PhD research evaluates the impact of multiparametric Whole Body-Magnetic Resonance Imaging (WB-MRI) in myeloma patients, comparing its diagnostic accuracy with 18F-FDG PET-CT and assessing its influence on clinical management. Additionally, it explores quantitative WB-MRI using radiomics.
Materials and Methods
Within the AccuMRI IRST protocol, 177 patients were enrolled (October 2020–January 2024), with 134 undergoing both WB-MRI and PET-CT within one month. Bone marrow involvement (BMI) detection was eveluated in multiple myeloma (MM) and high-risk smoldering multiple myeloma (HR-SMM). Inter-reader agreement among three radiologists was assessed in 52 patients, and WB-MRI acceptancy was evaluated in 134 patients.
Quantitative WB-MRI using radiomics was analyzed in 84 patients (45 MM, 39 HR-SMM), focusing on Apparent Diffusion Coefficient (ADC) and fat fraction (FF) sequences. Six volumes of interest (VOIs) were placed in pelvic bones and spine. Logistic regression with LASSO selection was used for feature analysis.
Results
WB-MRI showed 100% sensitivity and 97% specificity for BMI detection in MM, outperforming PET-CT (sensitivity 89%, p=0.02). Patients with BMI had higher blood paraprotein levels (p=0.007 in MM, p=0.01 in HR-SMM) and lower hemoglobin (p=0.002 in MM). WB-MRI findings influenced treatment in 97% of cases vs. 61% for PET-CT.
Inter-reader agreement was excellent (ICC > 0.9 for FF and ADC, except limbs: ICC=0.78). WB-MRI was preferred by 68.7% of patients, with preference influenced by age (p=0.011).
Radiomics models distinguished HR-SMM from MM (AUC=0.80 training, 0.70 test), with RS VOI showing highest accuracy (AUC=0.76). FF and ADC correlated with plasma cell percentage.
Conclusion
WB-MRI and PET-CT play key roles in evaluating myeloma patients. WB-MRI demonstrated superior sensitivity in detecting BMI and had a greater influence on therapeutic decision-making. MY-RADS criteria ensure reproducibility and radiomics could enhance risk stratification. WB-MRI is a reliable, patient-friendly imaging tool for myeloma.
Abstract
Purpose
This PhD research evaluates the impact of multiparametric Whole Body-Magnetic Resonance Imaging (WB-MRI) in myeloma patients, comparing its diagnostic accuracy with 18F-FDG PET-CT and assessing its influence on clinical management. Additionally, it explores quantitative WB-MRI using radiomics.
Materials and Methods
Within the AccuMRI IRST protocol, 177 patients were enrolled (October 2020–January 2024), with 134 undergoing both WB-MRI and PET-CT within one month. Bone marrow involvement (BMI) detection was eveluated in multiple myeloma (MM) and high-risk smoldering multiple myeloma (HR-SMM). Inter-reader agreement among three radiologists was assessed in 52 patients, and WB-MRI acceptancy was evaluated in 134 patients.
Quantitative WB-MRI using radiomics was analyzed in 84 patients (45 MM, 39 HR-SMM), focusing on Apparent Diffusion Coefficient (ADC) and fat fraction (FF) sequences. Six volumes of interest (VOIs) were placed in pelvic bones and spine. Logistic regression with LASSO selection was used for feature analysis.
Results
WB-MRI showed 100% sensitivity and 97% specificity for BMI detection in MM, outperforming PET-CT (sensitivity 89%, p=0.02). Patients with BMI had higher blood paraprotein levels (p=0.007 in MM, p=0.01 in HR-SMM) and lower hemoglobin (p=0.002 in MM). WB-MRI findings influenced treatment in 97% of cases vs. 61% for PET-CT.
Inter-reader agreement was excellent (ICC > 0.9 for FF and ADC, except limbs: ICC=0.78). WB-MRI was preferred by 68.7% of patients, with preference influenced by age (p=0.011).
Radiomics models distinguished HR-SMM from MM (AUC=0.80 training, 0.70 test), with RS VOI showing highest accuracy (AUC=0.76). FF and ADC correlated with plasma cell percentage.
Conclusion
WB-MRI and PET-CT play key roles in evaluating myeloma patients. WB-MRI demonstrated superior sensitivity in detecting BMI and had a greater influence on therapeutic decision-making. MY-RADS criteria ensure reproducibility and radiomics could enhance risk stratification. WB-MRI is a reliable, patient-friendly imaging tool for myeloma.
Tipologia del documento
Tesi di dottorato
Autore
Rossi, Alice
Supervisore
Co-supervisore
Dottorato di ricerca
Ciclo
37
Coordinatore
Settore disciplinare
Settore concorsuale
Parole chiave
WB-MRI, PET-CT, myeloma
DOI
10.48676/unibo/amsdottorato/11940
Data di discussione
9 Aprile 2025
URI
Altri metadati
Tipologia del documento
Tesi di dottorato
Autore
Rossi, Alice
Supervisore
Co-supervisore
Dottorato di ricerca
Ciclo
37
Coordinatore
Settore disciplinare
Settore concorsuale
Parole chiave
WB-MRI, PET-CT, myeloma
DOI
10.48676/unibo/amsdottorato/11940
Data di discussione
9 Aprile 2025
URI
Statistica sui download
Gestione del documento: