Giuliano Bettini

Prof. Giuliano Bettini


Research Focus & Metrics

Academic Career Length

35Years (1992-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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22 January 2010 in Veterinary and Comparative Oncology
Verified
Journal Article
Closed access
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EVE. Vezzali
E. Vezzali
APA. L. Parodi
A. L. Parodi
PMP. S. Marcato
P. S. Marcato
GBGiuliano Bettini
Giuliano Bettini

1 April 2015 in Journal of the American Veterinary Medical Association
Verified
Journal Article
Closed access
DSDamiano Stefanello
Damiano Stefanello
PBPaolo Buracco
Paolo Buracco
SSSilvia Sabattini
Silvia Sabattini
Riccardo FinotelloRiccardo Finotello
Riccardo Finotello
CGChiara Giudice
Chiara Giudice
LMLaura Marconato
Laura Marconato
Objective—To compare the Kiupel (2 categories) and Patnaik (3 categories) histologic grading systems for predicting the presence of metastasis at the time of initial examination in dogs with cutaneous mast cell tumors (MCTs). Design—Retrospective case series. Animals—386 client-owned dogs with cutaneous MCTs. Procedures—Medical records of dogs with newly diagnosed, histologically confirmed cutaneous MCTs that had undergone complete clinical staging were reviewed for clinical and histopathologic data. Results—All Patnaik grade 1 MCTs (n = 52) were classified as Kiupel low-grade MCTs, and all Patnaik grade 3 MCTs (43) were classified as Kiupel high-grade MCTs. Of the 291 Patnaik grade 2 MCTs, 243 (83.5%) were classified as Kiupel low-grade tumors, and 48 (16.5%) were classified as Kiupel high-grade MCTs. Dogs with Patnaik grade 3 MCTs were significantly more likely to have metastases at the time of initial examination than were dogs with grade 1 or 2 MCTs (OR, 5.46), and dogs with Kiupel high-grade MCTs were significantly more likely to have metastases than were dogs with Kiupel low-grade MCTs (OR, 2.54). However, 3 of 52 (5.8%) dogs with Patnaik grade 1 tumors, 48 of 291 (16.5%) dogs with Patnaik grade 2 tumors, and 44 of 295 (14.9%) dogs with Kiupel low-grade tumors had metastatic disease. Conclusions and Clinical Relevance—Findings indicated that in dogs with cutaneous MCTs, prognostication should not rely on histologic grade alone, regardless of grading system used, but should take into account results of clinical staging.

10 February 2014 in Veterinary Pathology
Verified
Journal Article
Open access
SSSilvia Sabattini
Silvia Sabattini
FSF. Scarpa
F. Scarpa
DBD. Berlato
D. Berlato
GBGiuliano Bettini
Giuliano Bettini
Mast cell tumor (MCT) is a common canine cutaneous neoplasm with variable biological behavior. A 2-tier histologic grading system was recently proposed by Kiupel et al to reduce interobserver variation and eliminate prognostic uncertainty of the Patnaik system. This study compared the ability of these 2 grading systems to predict survival in a cohort of dogs with MCTs. However, surgical margins were unknown, and the risk of developing new/metastatic MCTs was not studied. Histologic grade was assessed according to both systems for 137 surgically resected cutaneous MCTs. The relationship between grade and survival was evaluated. According to the Patnaik system, 18 MCTs (13.1%) were classified as grade I, 83 (60.6%) as grade II, and 36 (26.3%) as grade III. Grade III was associated with a poorer prognosis (P < .001), but no significant difference between grades I and II was detected. Grading according to the Patnaik system was based on consensus grading among 3 pathologists, and interobserver variability was not considered. All grade I MCTs were low grade in the Kiupel system, and all grade III were high grade. Among grade II, 71 (85.6%) were low grade, and 12 (14.4%) were high grade, with a 1-year survival probability of 94% and 46%, respectively (P < .001). The 2-tier system had a high prognostic value and was able to correctly predict the negative outcomes of some grade II MCTs. Data also confirm that histologic grading cannot predict biological behavior of each MCT and should be supplemented with molecular methods for more accurate prognostication.

15 May 2012 in Journal of the American Veterinary Medical Association
Verified
Journal Article
Closed access
FSFilippo Scarpa
Filippo Scarpa
SSSilvia Sabattini
Silvia Sabattini
LMLaura Marconato
Laura Marconato
OCOmbretta Capitani
Ombretta Capitani
MMMaria Morini
Maria Morini
GBGiuliano Bettini
Giuliano Bettini
Objective—To assess the usefulness of histologic evaluation of surgical margins to predict local recurrence of cutaneous malignant tumors in dogs and cats treated by means of surgical excision. Design—Prospective case series. Animals—40 dogs and 20 cats. Procedures—60 surgically excised tumors (20 soft tissue sarcomas [STSs], 20 mast cell tumors [MCTs], and 20 carcinomas) were examined histologically. Margins were classified as clean, close, or infiltrated; histologic grade was assessed in STSs and MCTs. Recurrence rates and recurrence-free intervals (RFIs) during a 24-month follow-up period were recorded, and method accuracy was calculated. Results—Surgical margins were clean in 29 of 60 (48%) tumors, close in 11 (18%), and infiltrated in 20 (33%). Tumors recurred in 27 of 60 (45%) animals, with a mean ± SD RFI of 229 ± 173 days. Recurrence rates for animals that had tumors with infiltrated (16/20) or close (8/11) margins were significantly higher than recurrence rate for animals that had tumors with clean margins (3/29). Margin classification was a significant predictor of RFI. Accuracy of the method to predict recurrence was 94% for carcinomas, 87% for STSs, and 76% for MCTs. Conclusions and Clinical Relevance—Histologic assessment of margin status was useful for predicting local recurrence of cutaneous malignant tumors in dogs and cats treated by means of excision alone. Method accuracy varied among tumor types and grades. Recurrence times suggested postsurgical follow-up should continue for ≥ 2 years. Results were similar for animals with infiltrated and close tumor margins, and careful postsurgical management is recommended for both.

15 October 2009 in Journal of the American Veterinary Medical Association
Verified
Journal Article
Closed access
LMLaura Marconato
Laura Marconato
GRGiorgio Romanelli
Giorgio Romanelli
DSDamiano Stefanello
Damiano Stefanello
CGClaudio Giacoboni
Claudio Giacoboni
UBUgo Bonfanti
Ugo Bonfanti
EZEric Zini
Eric Zini
Objective—To describe clinical characteristics, treatment, and outcome of dogs with inflammatory carcinoma (IC) and identify patient-, tumor-, and treatment-related factors associated with overall survival time. Design—Retrospective case series. Animals—43 client-owned dogs. Procedures—Records of dogs with a clinical diagnosis of IC that had histologic evidence of dermal lymphatic invasion were reviewed. Data on clinical staging, treatment, toxicoses, response, and survival time were retrieved. Results—26 (60%) dogs had primary IC and 17 (40%) had secondary IC. Thirty-five (81%) dogs had distant metastases and 2 (5%) had local metastases at the time of initial examination. Six of 29 (21%) dogs had a coagulopathy. Sixteen (37%) dogs did not receive specific treatment for IC, 24 (56%) received medical treatment only, 2 (5%) underwent surgical excision and received medical treatment, and 1 (2%) underwent surgical excision only. Forty-one (95%) dogs had progressive disease, and 2 (5%) had stable disease. Mean survival time for all dogs was 60 days (range, 1 to 300 days). Dogs with a coagulopathy survived a significantly shorter time than did dogs without a coagulopathy (odds ratio, 0.28), and dogs that received medical treatment survived significantly longer than dogs that did not (odds ratio, 2.54). Conclusions and Clinical Relevance—Results suggested that mammary IC is a biologically aggressive condition in dogs associated with a guarded prognosis. In addition, results suggested that medical treatment may improve outcome, thereby supporting its use in dogs with IC.

1 June 2016 in Journal of Small Animal Practice
Verified
Journal Article
Closed access
PDF file
SSSilvia Sabattini
Silvia Sabattini
EBE. Bottero
E. Bottero
MTM. E. Turba
M. E. Turba
FVF. Vicchi
F. Vicchi
SBS. Bo
S. Bo
GBGiuliano Bettini
Giuliano Bettini