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Pancreatic Neoplasms: HELP
Articles by Martina Mori
Based on 2 articles published since 2010
(Why 2 articles?)
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Between 2010 and 2020, Martina Mori wrote the following 2 articles about Pancreatic Neoplasms.
 
+ Citations + Abstracts
1 Article Ct radiomic features of pancreatic neuroendocrine neoplasms (panNEN) are robust against delineation uncertainty. 2019

Mori, Martina / Benedetti, Giulia / Partelli, Stefano / Sini, Carla / Andreasi, Valentina / Broggi, Sara / Barbera, Maurizio / Cattaneo, Giovanni M / Muffatti, Francesca / Panzeri, Marta / Falconi, Massimo / Fiorino, Claudio / De Cobelli, Francesco. ·Medical Physics, San Raffaele Scientific Institute, Milano, Italy. · Radiology, San Raffaele Scientific Institute, Milano, Italy. · Pancreatic Surgery Unit, Pancreas Translational & Clinical Research Center, San Raffaele Scientific Institute, Milano, Italy; Vita-Salute University, Milano, Italy. · Pancreatic Surgery Unit, Pancreas Translational & Clinical Research Center, San Raffaele Scientific Institute, Milano, Italy. · Radiology, San Raffaele Scientific Institute, Milano, Italy; Vita-Salute University, Milano, Italy. · Medical Physics, San Raffaele Scientific Institute, Milano, Italy. Electronic address: fiorino.claudio@hsr.it. ·Phys Med · Pubmed #30738530.

ABSTRACT: PURPOSE: The aim of this study was to quantify the impact of CT delineation uncertainty of pancreatic neuroendocrine neoplasms (panNEN) on Radiomic features (RF). METHODS: Thirty-one previously operated patients were considered. Three expert radiologists contoured panNEN lesions on pre-surgical high-resolution contrast-enhanced CT images and contours were transferred onto pre-contrast CT. Volume agreement was quantified by the DICE index. After images resampling and re-binning, 69 RF were extracted and the impact of inter-observer variability was assessed by Intra-Class Correlation (ICC): ICC > 0.80 was considered as a threshold for "very high" inter-observer agreement. RESULTS: The median volume was 1.3 cc (range: 0.2-110 cc); a satisfactory inter-observer volume agreement was found (mean DICE = 0.78). Only 4 RF showed ICC < 0.80 (0.48-0.73), including asphericity and three RFs (of five) of the neighborhood intensity difference matrix (NID). CONCLUSIONS: The impact of inter-observer variability in delineating panNEN on RF was minimum, with the exception of the NID family and asphericity, showing a moderate agreement. These results support the feasibility of studies aiming to assess CT radiomic biomarkers for panNEN.

2 Article Quantifying the robustness of [ 2018

Belli, Maria Luisa / Mori, Martina / Broggi, Sara / Cattaneo, Giovanni Mauro / Bettinardi, Valentino / Dell'Oca, Italo / Fallanca, Federico / Passoni, Paolo / Vanoli, Emilia Giovanna / Calandrino, Riccardo / Di Muzio, Nadia / Picchio, Maria / Fiorino, Claudio. ·Medical Physics, San Raffaele Scientific Institute, Milano, Italy. · Nuclear Medicine, San Raffaele Scientific Institute, Milano, Italy. · Radiotherapy, San Raffaele Scientific Institute, Milano, Italy. · Medical Physics, San Raffaele Scientific Institute, Milano, Italy. Electronic address: fiorino.claudio@hsr.it. ·Phys Med · Pubmed #29866335.

ABSTRACT: PURPOSE: To investigate the robustness of PET radiomic features (RF) against tumour delineation uncertainty in two clinically relevant situations. METHODS: Twenty-five head-and-neck (HN) and 25 pancreatic cancer patients previously treated with RESULTS: A large disagreement between manual and SUV_max method was found for thresholds  ≥50%. Inter-observer variability showed median DICE values between 0.81 (HN-T) and 0.73 (pancreas). Volumes defined by PET_Edge were better consistent with the manual ones compared to SUV40%. Regarding RF, 19%/19%/47% of the features showed ICC < 0.80 between observers for HN-N/HN-T/pancreas, mostly in the Voxel-alignment matrix and in the intensity-size zone matrix families. RFs with ICC < 0.80 against manual delineation (taking the worst value) increased to 44%/36%/61% for PET_Edge and to 69%/53%/75% for SUV40%. CONCLUSIONS: About 80%/50% of 72 RF were consistent between observers for HN/pancreas patients. PET_edge was sufficiently robust against manual delineation while SUV40% showed a worse performance. This result suggests the possibility to replace manual with semi-automatic delineation of HN and pancreas tumours in studies including PET radiomic analyses.