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Article

Automatic Prediction and Assessment of Treatment Response in Patients with Hodgkin’s Lymphoma Using a Whole-Body DW-MRI Based Approach

1
IRCCS SDN (Istituto di Ricovero e Cura a Carattere Scientifico, SYNLAB istituto di Diagnostica Nucleare), 80143 Napoli, Italy
2
Department of Clinical Medicine and Surgery, Hematology Section, Federico II University of Naples, 80131 Naples, Italy
*
Author to whom correspondence should be addressed.
Diagnostics 2020, 10(9), 702; https://doi.org/10.3390/diagnostics10090702
Received: 17 August 2020 / Revised: 11 September 2020 / Accepted: 15 September 2020 / Published: 16 September 2020
(This article belongs to the Special Issue Whole Body MRI: Major Advances and Future Perspective)
The lack of validation and standardization represents the main drawback for a clear role of whole-body diffusion weighted imaging (WB-DWI) for prediction and assessment of treatment response in Hodgkin’s lymphoma (HL). We explored the reliability of an automatic approach based on the WB-DWI technique for prediction and assessment of response to treatment in patients with HL. The study included 20 HL patients, who had whole-body positron emission tomography (PET)/ magnetic resonance Imaging (MRI) performed before, during and after chemotherapy. Using the syngo.via MR Total Tumor Load tool, we automatically extracted values of diffusion volume (DV) and its associated histogram features by WB-DWI images, and evaluated their utility in predicting and assessing interim and end-of-treatment (EOT) response. The Mann–Whitney test followed by receiver operator characteristic (ROC) analysis was performed between features and their inter-time point percentage differences for patients having a complete or partial treatment response, revealing that several WB-DWI associated features allowed for prediction of interim response and both prediction and assessment of EOT response. Our proposed method offers huge advantages in terms of saving time and work, enabling clinicians to draw conclusions relating to HL treatment response in a fully automatic way, and encloses, also, all DWI advantages compared to PET/ computed tomography (CT). View Full-Text
Keywords: Hodgkin’s Lymphoma; whole-body DWI; automatic tool; segmentation; response to treatment; ROC analysis Hodgkin’s Lymphoma; whole-body DWI; automatic tool; segmentation; response to treatment; ROC analysis
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MDPI and ACS Style

Brancato, V.; Aiello, M.; Della Pepa, R.; Basso, L.; Garbino, N.; Nicolai, E.; Picardi, M.; Salvatore, M.; Cavaliere, C. Automatic Prediction and Assessment of Treatment Response in Patients with Hodgkin’s Lymphoma Using a Whole-Body DW-MRI Based Approach. Diagnostics 2020, 10, 702. https://doi.org/10.3390/diagnostics10090702

AMA Style

Brancato V, Aiello M, Della Pepa R, Basso L, Garbino N, Nicolai E, Picardi M, Salvatore M, Cavaliere C. Automatic Prediction and Assessment of Treatment Response in Patients with Hodgkin’s Lymphoma Using a Whole-Body DW-MRI Based Approach. Diagnostics. 2020; 10(9):702. https://doi.org/10.3390/diagnostics10090702

Chicago/Turabian Style

Brancato, Valentina, Marco Aiello, Roberta Della Pepa, Luca Basso, Nunzia Garbino, Emanuele Nicolai, Marco Picardi, Marco Salvatore, and Carlo Cavaliere. 2020. "Automatic Prediction and Assessment of Treatment Response in Patients with Hodgkin’s Lymphoma Using a Whole-Body DW-MRI Based Approach" Diagnostics 10, no. 9: 702. https://doi.org/10.3390/diagnostics10090702

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