Literature DB >> 33334369

Feasibility and possible value of quantitative semi-automated diffusion weighted imaging volumetry of neuroblastic tumors.

Sebastian Gassenmaier1, Ilias Tsiflikas2, Jörg Fuchs3, Robert Grimm4, Cristian Urla3, Michael Esser2, Simon Maennlin2, Martin Ebinger5, Steven W Warmann3, Jürgen F Schäfer2.   

Abstract

BACKGROUND: To assess the feasibility and possible value of semi-automated diffusion weighted imaging (DWI) volumetry of whole neuroblastic tumors with apparent diffusion coefficient (ADC) map evaluation after neoadjuvant chemotherapy.
METHODS: Pediatric patients who underwent surgical resection of neuroblastic tumors at our institution from 2013 to 2019 and who received a preoperative MRI scan with DWI after chemotherapy were included. Tumor volume was assessed with a semi-automated approach in DWI using a dedicated software prototype. Quantitative ADC values were calculated automatically of the total tumor volume after manual exclusion of necrosis. Manual segmentation in T1 weighted and T2 weighted sequences was used as reference standard for tumor volume comparison. The Student's t test was used for parametric data while the Wilcoxon rank sum test and the Kruskal-Wallis test were applied for non-parametric data.
RESULTS: Twenty seven patients with 28 lesions (neuroblastoma (NB): n = 19, ganglioneuroblastoma (GNB): n = 7, ganglioneuroma (GN): n = 2) could be evaluated. Mean patient age was 4.5 ± 3.2 years. Median volume of standard volumetry (T1w or T2w) was 50.2 ml (interquartile range (IQR): 91.9 ml) vs. 45.1 ml (IQR: 98.4 ml) of DWI (p = 0.145). Mean ADC values (× 10- 6 mm2/s) of the total tumor volume (without necrosis) were 1187 ± 301 in NB vs. 1552 ± 114 in GNB/GN (p = 0.037). The 5th percentile of ADC values of NB (614 ± 275) and GNB/GN (1053 ± 362) provided the most significant difference (p = 0.007) with an area under the curve of 0.848 (p < 0.001).
CONCLUSIONS: Quantitative semi-automated DWI volumetry is feasible in neuroblastic tumors with integrated analysis of tissue characteristics by providing automatically calculated ADC values of the whole tumor as well as an ADC heatmap. The 5th percentile of the ADC values of the whole tumor volume proved to be the most significant parameter for differentiation of the histopathological subtypes in our patient cohort and further investigation seems to be worthwhile.

Entities:  

Keywords:  Diagnostic imaging; Diffusion magnetic resonance imaging; Magnetic resonance imaging; Neuroblastoma

Year:  2020        PMID: 33334369     DOI: 10.1186/s40644-020-00366-3

Source DB:  PubMed          Journal:  Cancer Imaging        ISSN: 1470-7330            Impact factor:   3.909


  1 in total

1.  Diagnostic and prognostic value of 18F-FDG PET/CT in comparison with morphological imaging in primary adrenal gland malignancies - a multicenter experience.

Authors:  Angelina Cistaro; Artor Niccoli Asabella; Pietro Coppolino; Natale Quartuccio; Corinna Altini; Mariapaola Cucinotta; Pierpaolo Alongi; Michele Balma; Silvia Sanfilippo; Ambra Buschiazzo; Arnoldo Piccardo; Margherita Fanelli; Gianmario Sambuceti; Jamshed Bomanji; Sergio Baldari; Gianni Bisi; Stefano Fanti; Giuseppe Rubini
Journal:  Hell J Nucl Med       Date:  2015-06-29       Impact factor: 1.102

  1 in total
  2 in total

1.  Comparative Multicentric Evaluation of Inter-Observer Variability in Manual and Automatic Segmentation of Neuroblastic Tumors in Magnetic Resonance Images.

Authors:  Diana Veiga-Canuto; Leonor Cerdà-Alberich; Cinta Sangüesa Nebot; Blanca Martínez de Las Heras; Ulrike Pötschger; Michela Gabelloni; José Miguel Carot Sierra; Sabine Taschner-Mandl; Vanessa Düster; Adela Cañete; Ruth Ladenstein; Emanuele Neri; Luis Martí-Bonmatí
Journal:  Cancers (Basel)       Date:  2022-07-27       Impact factor: 6.575

Review 2.  [Radiological imaging of neuroblastoma].

Authors:  Friederike Körber; Jürgen Frank Schäfer
Journal:  Radiologe       Date:  2021-06-22       Impact factor: 0.635

  2 in total

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