Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where M. Di Tommaso is active.

Publication


Featured researches published by M. Di Tommaso.


Ejso | 2013

Diffusion-weighted magnetic resonance for prediction of response after neoadjuvant chemoradiation therapy for locally advanced rectal cancer: preliminary results of a monoinstitutional prospective study.

D. Genovesi; Antonella Filippone; G. Ausili Cèfaro; Marianna Trignani; Annamaria Vinciguerra; Antonietta Augurio; M. Di Tommaso; Valentina Borzillo; F. Sabatino; Paolo Innocenti; E. Liberatore; G. Colecchia; Armando Tartaro; Antonio Raffaele Cotroneo

PURPOSE To evaluate diffusion-weighted imaging (DWI) for assessment of treatment response in locally advanced rectal cancer (LARC) 8 weeks after neoadjuvant chemoradiotherapy (CRT). METHODS AND MATERIALS A total of 28 patients with LARC underwent magnetic resonance imaging (MRI) prior to and 8 weeks after CRT. Tumor volume (TV) was calculated on T2-weighted MRI scans as well as the apparent diffusion coefficient (ADC) was calculated using Echo-planar DWI-sequences. All data were correlated to surgical results and histopathologic tumor regression grade (TRG), according to Mandards classification. Post-treatment difference ADC (%ΔADC) and TV (%ΔTV) changes at 8 weeks were compared complete response (CR; TRG1) and non-complete response tumors (non-CR; TRG2-5). RESULTS The mean % ADC increase of CR group was significantly higher compared to non-CR group (77.2 ± 54.63% vs. 36.0 ± 29.44%; p = 0.05). Conversely, the mean % TV reduction did not significantly differ in CR group from non-CR group (73.7% vs. 63.77%; p = 0.21). Accordingly, the diagnostic accuracy of the mean % ADC increase to discriminate CR from non-CR group was significantly higher than that of the mean % TV reduction (0.913 vs. 0.658; p = 0.022). No correlation was found between mean % TV reduction and TRG (rho = 0.22; p = 0.3037), whereas a negative correlation between mean % ADC increase and TRG was recorded (r = -0.69; p = 0.006). CONCLUSION The mean % ADC increase appears to be a reliable tool to differentiate CR from non-CR after CRT in patients with LARC.


Cancer Radiotherapie | 2014

Interobserver variability of clinical target volume delineation in soft-tissue sarcomas

D. Genovesi; G. Ausili Cèfaro; Marianna Trignani; Annamaria Vinciguerra; Antonietta Augurio; M. Di Tommaso; Francesca Perrotti; A De Paoli; Patrizia Olmi; Vincenzo Valentini; M. Di Nicola

PURPOSE The present observational study reports the results of a multi-institutional dummy-run designed to estimate the consistency of interobserver variability in clinical target volume delineation in two different cases of soft-tissue sarcomas in which postoperative and preoperative radiotherapy were prescribed, respectively. The purpose of this work was to quantify interobserver variability in routine clinical practice. PATIENTS AND METHODS Two different cases of soft-tissues sarcomas were chosen: a case of postoperative and a case of preoperative radiation therapy. Participating centres were requested to delineate clinical target volumes according to their experience in both cases. Descriptive statistic was calculated for each variable (volume, diameters) separately for two cases. Box-whiskers plots were used for presentation of clinical target volume. A Shapiro-Wilks test was performed to evaluate the departures from normality distribution for each variable. The comparison between relative variations of diameters was evaluated using the Students t test. RESULTS Several variations affecting both volumes and diameters were observed. Main variations were observed in the craniocaudal and laterolateral diameters. Each case showed similar dispersion, indicating a lack of reproducibility in volumes definition. CONCLUSIONS This observational study highlighted that, in the absence of specific instructions or guidelines, the interobserver variability can be significant both in postoperative and preoperative radiotherapy of soft-tissue sarcomas.


Cancer Radiotherapie | 2018

Hippocampal sparing in stereotactic radiotherapy for brain metastases: To contour or not contour the hippocampus?

C. Di Carlo; Marianna Trignani; Luciana Caravatta; Annamaria Vinciguerra; Antonietta Augurio; Francesca Perrotti; M. Di Tommaso; Marianna Nuzzo; S. Giancaterino; M.D. Falco; D. Genovesi

PURPOSE The aim of our study was to evaluate hippocampal irradiation in patients treated with fractionated stereotactic brain radiotherapy. PATIENTS AND METHODS Retrospective hippocampal dosimetric analysis performed on 22 patients with one to four brain metastases treated with fractionated stereotactic radiotherapy using volumetric intensity-modulated arc therapy. Original plans did not include hippocampus as avoidance structure in optimization criteria; hippocampus was retrospectively delineated on magnetic resonance coregistered with planning CT and using as reference the RTOG 0933 atlas. Hippocampus was defined both as a single and as pair organ. Constraints analysed were: Dmax<16Gy, D40%<7.3Gy, D100%=Dmin<9Gy. Assuming a α/β ratio of 2Gy, biologically equivalent dose in 2Gy fractions was calculated. Hippocampal-sparing plans were developed in cases where hippocampal constraints were not respected in the original plan. RESULTS Among constraints analysed Dmax and D40% have been exceeded in ten out of 22 cases. The constraints were not respected in patients with more than one metastatic lesion and in three patients with only one lesion. Considering all exceeded constraints values in non-hippocampal sparing plans, the 50% of them was respected after replanning. No significant differences were found among conformity and homogeneity index between non-hippocampal sparing and hippocampal sparing plans. CONCLUSION Volumetric intensity-modulated arc therapy hippocampal sparing plans significantly decreases dose to hippocampus assuring an equal target coverage and organs at risk avoiding.


Radiotherapy and Oncology | 2018

PO-0797: Diffusion-weighted MRI for early assessment of tumor response in rectal cancer patients

C. Rosa; Roberta Cianci; Luciana Caravatta; M. Di Tommaso; A. Delli Pizzi; S. Di Biase; F. Patani; D. Genovesi


Radiotherapy and Oncology | 2018

EP-1755: In-Vivo Dosimetry: A Feasibility Study in Routine Clinical Practice

M.D. Falco; S. Giancaterino; A. De Nicola; N. Adorante; R. Gimenez De Lorenzo; M. Di Tommaso; Annamaria Vinciguerra; Marianna Trignani; A. Allajbej; Francesca Greco; Mattia Grusio; A. Piermattei; D. Genovesi


Radiotherapy and Oncology | 2018

EP-1491: Neoadjuvant chemoradiotherapy in rectal cancer patients in a 15-year single institutional experience

C. Rosa; M. Di Tommaso; Luciana Caravatta; Maria Taraborrelli; Antonietta Augurio; S. Di Biase; I.A. Zecca; M. Di Nicola; D. Genovesi


Radiotherapy and Oncology | 2018

EP-1493: T2 and Diffusion weighted MRI for GTV delineation in rectal cancer: agreement between volumes

C. Rosa; Luciana Caravatta; M. Di Tommaso; Roberta Cianci; A. Delli Pizzi; Annamaria Vinciguerra; I.A. Zecca; M. Di Nicola; D. Genovesi


Radiotherapy and Oncology | 2018

EP-1492: Bowel and anal sphincter function after neoadjuvant chemoradiotherapy in rectal cancer patients

C. Rosa; Luciana Caravatta; M. Di Tommaso; Lucia Anna Ursini; A. Allajbej; I.A. Zecca; M. Di Nicola; D. Genovesi


Radiotherapy and Oncology | 2018

OC-0151: Potential predictive biomarkers of chemoradiation response in rectal cancer: a metabolomic study

C. Rosa; Francesca Perrotti; Luciana Caravatta; M. Di Tommaso; Damiana Pieragostino; I. Cicalini; C. Rossi; M.C. Cufaro; D. Genovesi


Radiotherapy and Oncology | 2017

EP-1426: A model for internal target volume definition based on 4D-cone beam computed tomography

M. Di Tommaso; A. Allajbej; Luciana Caravatta; S. Giancaterino; G. Di Girolamo; M.D. Falco; D. Genovesi

Collaboration


Dive into the M. Di Tommaso's collaboration.

Top Co-Authors

Avatar

D. Genovesi

Catholic University of the Sacred Heart

View shared research outputs
Top Co-Authors

Avatar

Luciana Caravatta

Catholic University of the Sacred Heart

View shared research outputs
Top Co-Authors

Avatar

M. Di Nicola

University of Chieti-Pescara

View shared research outputs
Top Co-Authors

Avatar

M.D. Falco

University of Rome Tor Vergata

View shared research outputs
Top Co-Authors

Avatar

A. Piermattei

Catholic University of the Sacred Heart

View shared research outputs
Top Co-Authors

Avatar

Francesca Greco

Catholic University of the Sacred Heart

View shared research outputs
Top Co-Authors

Avatar

Mattia Grusio

Catholic University of the Sacred Heart

View shared research outputs
Top Co-Authors

Avatar

Armando Tartaro

University of Chieti-Pescara

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Paolo Sacchetta

University of Chieti-Pescara

View shared research outputs
Researchain Logo
Decentralizing Knowledge