Abstract OBJECTIVES: To prospectively assess an innovative computer-aided diagnostic technology that quantifies characteristic features of backscattered ultrasound and theoretically allows transvaginal sonography (TVS) to discriminate benign from malignant adnexal masses. METHODS: Women (n = 264) scheduled for surgical removal of at least one ovary in five centres were included. Preoperative three-dimensional (3D)-TVS was performed and the voxel data were analysed by the new technology. The findings at 3D-TVS, serum CA125 levels and the TVS-based diagnosis were compared with histology. Cancer was deemed present when invasive or borderline cancerous processes were observed histologically. RESULTS: Among 375 removed ovaries, 141 cancers (83 adenocarcinomas, 24 borderline, 16 cases of carcinomatosis, nine of metastases and nine others) and 234 non-cancerous ovaries (107 normal, 127 benign tumours) were histologically diagnosed. The new computer-aided technology correctly identified 138/141 malignant lesions and 206/234 non-malignant tissues (98% sensitivity, 88% specificity). There were no false-negative results among the 47 FIGO stage I/II ovarian lesions. Standard TVS and CA125 had sensitivities/specificities of 94%/66% and 89%/75%, respectively. Combining standard TVS and the new technology in parallel significantly improved TVS specificity from 66% to 92% (p < 0.0001). CONCLUSIONS: Computer-aided quantification of backscattered ultrasound is a highly sensitive for the diagnosis of malignant ovarian masses
A new computer-aided diagnostic tool for non-invasive characterisation of malignant ovarian masses: results of a multicentre validation study / O. Lucidarme, J.P. Akakpo, S. Granberg, M. Sideri, H. Levavi, A. Schneider, P. Autier, D. Nir, H. Bleiberg, Ovarian HistoScanning Clinical Study Group, M. Bellomi. - In: EUROPEAN RADIOLOGY. - ISSN 0938-7994. - 20:8(2010 Aug), pp. 1822-1830.
|Titolo:||A new computer-aided diagnostic tool for non-invasive characterisation of malignant ovarian masses: results of a multicentre validation study|
BELLOMI, MASSIMO (Ultimo)
|Settore Scientifico Disciplinare:||Settore MED/36 - Diagnostica per Immagini e Radioterapia|
|Data di pubblicazione:||ago-2010|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1007/s00330-010-1750-6|
|Appare nelle tipologie:||01 - Articolo su periodico|