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01.08.2010 | Urogenital

A new computer-aided diagnostic tool for non-invasive characterisation of malignant ovarian masses: results of a multicentre validation study

verfasst von: Olivier Lucidarme, Jean-Paul Akakpo, Seth Granberg, Mario Sideri, Hanoch Levavi, Achim Schneider, Philippe Autier, Dror Nir, Harry Bleiberg, for the Ovarian HistoScanning Clinical Study Group

Erschienen in: European Radiology | Ausgabe 8/2010

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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.

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Titel: A new computer-aided diagnostic tool for non-invasive characterisation of malignant ovarian masses: results of a multicentre validation study
verfasst von: Olivier Lucidarme
Jean-Paul Akakpo
Seth Granberg
Mario Sideri
Hanoch Levavi
Achim Schneider
Philippe Autier
Dror Nir
Harry Bleiberg
for the Ovarian HistoScanning Clinical Study Group
Publikationsdatum: 01.08.2010
Verlag: Springer-Verlag
Erschienen in: European Radiology / Ausgabe 8/2010
Print ISSN: 0938-7994
Elektronische ISSN: 1432-1084
DOI: https://doi.org/10.1007/s00330-010-1750-6

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A new computer-aided diagnostic tool for non-invasive characterisation of malignant ovarian masses: results of a multicentre validation study