Tiziana Robba1, Vito Chianca2, Domenico Albano3, Valeria Clementi4, Raimondo Piana5, Alessandra Linari6, Alessandro Comandone7, Guido Regis1, Maurizio Stratta8, Carlo Faletti9, Alda Borrè1. 1. Dipartimento di Radiologia, Azienda Ospedaliera Città della Salute e della Scienza, Centro Traumatologico Ortopedico, Via Zuretti 29, 10126, Torino, Italy. 2. Dipartimento di Scienze Biomediche Avanzate, Università degli studi Federico II, Via Pansini 5, 80131, Napoli, Italy. vitochia@hotmail.it. 3. Sezione di Scienze Radiologiche, DIBIMED, Università of Palermo, Via del Vespro 127, 90127, Palermo, Italy. 4. Ospedale Sacro Cuore Don Calabria, Via Don A. Sempreboni, 5, 37024, Negrar, Italy. 5. Department of Orthopaedic Oncology, Azienda Ospedaliera Città della Salute e della Scienza, Centro Traumatologico Ortopedico, Via Zuretti 29, 10126, Torino, Italy. 6. Department of Pathology, Città della Salute e della Scienza-OIRM, piazza Polonia 94, 10126, Torino, Italy. 7. Department of Medical Oncology, Gradenigo Hospital, Corso Regina Margherita 8, 10153, Torino, Italy. 8. Centro diagnostico J-Medical, via Druento 153/56, 10151, Torino, Italy. 9. Unità di Diagnostica per Immagini, Casa di cure Fornaca, Corso Vittorio Emanuele 91, 10126, Torino, Italy.
Abstract
PURPOSE: To evaluate whether apparent diffusion coefficient (ADC) of diffusion-weighted imaging (DWI) is able to investigate the histological features of soft tissue tumours. METHODS: We reviewed MRIs of soft tissue tumours performed from 2012 to 2015 to calculate the average ADCs. We included 46 patients (27 male; mean age: 57 years, range 12-85 years) with histologically proven soft tissue tumours (10 benign, 2 intermediate 34 malignant) grouped into eight tumour type classes. An experienced pathologist assigned a semi-quantitative cellularity score (very high, high, medium and low) and tumour grading. The t test, ANOVA and linear regression were used to correlate ADC with clinicopathological data. Approximate receiver operating characteristic curves were created to predict possible uses of ADC to differentiate benign from malignant tumours. RESULTS: There was a significant difference (p < 0.01) in ADCs between these three groups excluding myxoid sarcomas. A significant difference was also evident between the tumour type classes (p < 0.001), grade II and III myxoid lesions (p < 0.05), tumour grading classes (p < 0.001) and cellularity scores classes (p < 0.001), with the lowest ADCs in the very high cellularity. While the linear regression analysis showed a significant relationship between ADC and tumour cellularity (r = 0.590, p ≤ 0.05) and grading (r = 0.437, p ≤ 0.05), no significant relationship was found with age, gender, tumour size and histological subtype. An optimal cut-off ADC value of 1.45 × 10-3 mm2/s with 76.8% accuracy was found to differentiate benign from malignant tumours. CONCLUSIONS: DWI may offer adjunctive information about soft tissue tumours, but its clinical role is still to be defined.
PURPOSE: To evaluate whether apparent diffusion coefficient (ADC) of diffusion-weighted imaging (DWI) is able to investigate the histological features of soft tissue tumours. METHODS: We reviewed MRIs of soft tissue tumours performed from 2012 to 2015 to calculate the average ADCs. We included 46 patients (27 male; mean age: 57 years, range 12-85 years) with histologically proven soft tissue tumours (10 benign, 2 intermediate 34 malignant) grouped into eight tumour type classes. An experienced pathologist assigned a semi-quantitative cellularity score (very high, high, medium and low) and tumour grading. The t test, ANOVA and linear regression were used to correlate ADC with clinicopathological data. Approximate receiver operating characteristic curves were created to predict possible uses of ADC to differentiate benign from malignant tumours. RESULTS: There was a significant difference (p < 0.01) in ADCs between these three groups excluding myxoid sarcomas. A significant difference was also evident between the tumour type classes (p < 0.001), grade II and III myxoid lesions (p < 0.05), tumour grading classes (p < 0.001) and cellularity scores classes (p < 0.001), with the lowest ADCs in the very high cellularity. While the linear regression analysis showed a significant relationship between ADC and tumour cellularity (r = 0.590, p ≤ 0.05) and grading (r = 0.437, p ≤ 0.05), no significant relationship was found with age, gender, tumour size and histological subtype. An optimal cut-off ADC value of 1.45 × 10-3 mm2/s with 76.8% accuracy was found to differentiate benign from malignant tumours. CONCLUSIONS: DWI may offer adjunctive information about soft tissue tumours, but its clinical role is still to be defined.
Authors: Alexey Surov; Shuji Nagata; Ahmed A Abd Razek; Sree Harsha Tirumani; Andreas Wienke; Thomas Kahn Journal: Skeletal Radiol Date: 2015-04-28 Impact factor: 2.199
Authors: Alberto Bellelli; Enzo Silvestri; Antonio Barile; Domenico Albano; Alberto Aliprandi; Roberto Caudana; Vito Chianca; Francesco Di Pietto; Carlo Faletti; Eugenio Genovese; Andrea Giovagnoni; Carlo Masciocchi; Carmelo Messina; Luca Maria Sconfienza; Vincenzo Spina; Marcello Zappia Journal: Radiol Med Date: 2019-01-28 Impact factor: 3.469
Authors: D Giambelluca; D Albano; E Giambelluca; A Bruno; F Panzuto; A Agrusa; G Di Buono; F Cannizzaro; Cesare Gagliardo; M Midiri; R Lagalla; G Salvaggio Journal: G Chir Date: 2017 Sep-Oct
Authors: Francesca Iacobellis; Marco Di Serafino; Roberta Blasio; Luigi Barbuto; Filomena Pezzullo; Luigia Romano Journal: Am J Case Rep Date: 2019-11-10