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Tumor segmentation analysis at different post-contrast time points: A possible source of variability of quantitative DCE-MRI parameters in locally advanced breast cancer.
Romeo, Valeria; Cavaliere, Carlo; Imbriaco, Massimo; Verde, Francesco; Petretta, Mario; Franzese, Monica; Stanzione, Arnaldo; Cuocolo, Renato; Aiello, Marco; Basso, Luca; Amitrano, Michele; Lauria, Rossella; Accurso, Antonello; Brunetti, Arturo; Salvatore, Marco.
Afiliação
  • Romeo V; Department of Advanced Biomedical Sciences, University of Naples Federico II, Via S. Pansini 5, 80131, Naples, Italy. Electronic address: valeria.romeo@unina.it.
  • Cavaliere C; IRCCS SDN, Via Emanuele Gianturco 113, 80143, Naples, Italy.
  • Imbriaco M; Department of Advanced Biomedical Sciences, University of Naples Federico II, Via S. Pansini 5, 80131, Naples, Italy.
  • Verde F; Department of Advanced Biomedical Sciences, University of Naples Federico II, Via S. Pansini 5, 80131, Naples, Italy.
  • Petretta M; Department of Translational Medical Sciences, University of Naples "Federico II", Via S. Pansini, 5, 80131, Naples, Italy.
  • Franzese M; IRCCS SDN, Via Emanuele Gianturco 113, 80143, Naples, Italy.
  • Stanzione A; Department of Advanced Biomedical Sciences, University of Naples Federico II, Via S. Pansini 5, 80131, Naples, Italy.
  • Cuocolo R; Department of Advanced Biomedical Sciences, University of Naples Federico II, Via S. Pansini 5, 80131, Naples, Italy.
  • Aiello M; IRCCS SDN, Via Emanuele Gianturco 113, 80143, Naples, Italy.
  • Basso L; IRCCS SDN, Via Emanuele Gianturco 113, 80143, Naples, Italy.
  • Amitrano M; Department of Advanced Biomedical Sciences, University of Naples Federico II, Via S. Pansini 5, 80131, Naples, Italy.
  • Lauria R; Department of Clinical Medicine and Surgery, University of Naples Federico II, Via S. Pansini 5, 80131, Naples, Italy.
  • Accurso A; Department of Gastroenterology, Endocrinology and Surgery, University of Naples Federico II, Naples, Italy.
  • Brunetti A; Department of Advanced Biomedical Sciences, University of Naples Federico II, Via S. Pansini 5, 80131, Naples, Italy.
  • Salvatore M; IRCCS SDN, Via Emanuele Gianturco 113, 80143, Naples, Italy.
Eur J Radiol ; 126: 108907, 2020 May.
Article em En | MEDLINE | ID: mdl-32145597
ABSTRACT

PURPOSE:

to assess if tumor segmentation analysis performed at different post-contrast time points (TPs) on dynamic images could influence the extraction of dynamic contrast enhanced (DCE)-MRI parameters in locally advanced breast cancer (LABC), and potentially represent a source of variability.

METHOD:

forty patients with forty-two LABC lesions were prospectively enrolled and underwent breast DCE-MRI examination at 3 T. On post-processed dynamic images, enhancing tumor lesions were manually segmented at four different TPs at the first post-contrast dynamic image in which the lesion was appreciable (TP 1) and at 1, 5 and 10 min after contrast-agent administration (TPs 2, 3 and 4, respectively) and corresponding DCE-MRI parameters were extracted. Friedman's test followed by Bonferroni-adjusted Wilcoxon signed rank test for post-hoc analysis was used to compare DCE-MRI parameters. Intra- and inter-observer reliability of DCE-MRI parameters measurements was assessed using the Intraclass Correlation Coefficient (ICC) analysis.

RESULTS:

Ktrans, Kep and iAUC were significantly higher when extracted from ROIs placed at TP1 and progressively decreased from TP 2-4. The intra-observer reliability ranged from good to excellent (ICC's 0.894 to 0.990). The inter-observer reliability varied from moderate to excellent (0.770 to 0.942). The inter-observer reliability was significantly higher for Ktrans and Kep extracted at TPs1 and 2 as compared to TPs 3 and 4.

CONCLUSIONS:

A significant variability of DCE-MRI quantitative parameters occurs when tumor segmentation is performed at different TPs. We suggest to performing tumor delineation at an established TP, preferably the earliest, in order to extract reliable and comparable DCE-MRI data.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Imageamento por Ressonância Magnética / Interpretação de Imagem Assistida por Computador / Aumento da Imagem / Meios de Contraste Limite: Adult / Aged / Female / Humans / Middle aged Idioma: En Revista: Eur J Radiol Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Imageamento por Ressonância Magnética / Interpretação de Imagem Assistida por Computador / Aumento da Imagem / Meios de Contraste Limite: Adult / Aged / Female / Humans / Middle aged Idioma: En Revista: Eur J Radiol Ano de publicação: 2020 Tipo de documento: Article