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Pancreatic Neoplasms: HELP
Articles by Claudio Fiorino
Based on 3 articles published since 2010
(Why 3 articles?)
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Between 2010 and 2020, Claudio Fiorino wrote the following 3 articles about Pancreatic Neoplasms.
 
+ Citations + Abstracts
1 Article Early variation of 18-fluorine-labelled fluorodeoxyglucose PET-derived parameters after chemoradiotherapy as predictors of survival in locally advanced pancreatic carcinoma patients. 2019

Incerti, Elena / Vanoli, Emilia G / Broggi, Sara / Gumina, Calogero / Passoni, Paolo / Slim, Najla / Fiorino, Claudio / Reni, Michele / Mapelli, Paola / Cattaneo, Mauro / Zanon, Silvia / Calandrino, Riccardo / Gianolli, Luigi / Di Muzio, Nadia / Picchio, Maria. ·Unit of Nuclear Medicine. · Unit of Medical Physics. · Unit of Radiotherapy. · Department of Oncology, IRCCS San Raffaele Scientific Institute. · Vita-Salute San Raffaele University, Milan, Italy. ·Nucl Med Commun · Pubmed #31365502.

ABSTRACT: OBJECTIVE: To investigate if early variation of PET-derived parameters after concomitant chemoradiotherapy (CRT) predicts overall survival (OS), local relapse free survival (LRFS), distant relapse free survival (DRFS) and progression free survival (PFS) in locally advanced pancreatic cancer (LAPC) patients. METHODS: Fifty-two LAPC patients (median age: 61 years; range: 35-85) with available FDG PET/CT before and after RT (2-6 months, median: 2) were enrolled from May 2005 to June 2015. The predictive value of the percentage variation of mean/maximum standard uptake value (ΔSUVmean/max), metabolic tumour volume (ΔMTV) and total lesion glycolysis (ΔTLG), estimated considering different uptake thresholds (40-50-60%), was investigated between pre- and post-RT PET. The percentage difference between gastrointestinal cancer-associated antigen (ΔGICA) levels measured at the time of PET was also considered. Log-rank test and Cox regression analysis were performed to assess the prognostic value of considered PET-derived parameters on survival outcomes. RESULTS: The median follow-up was 13 months (range: 4-130). At univariate analysis, ΔTLG50 showed borderline significance in predicting OS (P = 0.05) and was the most significant parameter correlated to LRFS and PFS (P = 0.001). Median LRFS was 4 and 33 months if ΔTLG50 was below or above 35% respectively (P = 0.0003); similarly, median PFS was 3 vs 6 months (P = 0.0009). No significant correlation was found between PET-derived parameters and DRFS, while the ΔGICA was the only borderline significant prognostic value for this endpoint (P = 0.05). CONCLUSION: PET-derived parameters predict survival in LAPC patients; in particular, ΔTLG50 is the strongest predictor. The combination of these biochemical and imaging biomarkers is promising in identifying patients at higher risk of earlier relapse.

2 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.

3 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.