@article{01H5Q5NG0EXG6R3PB1T0SV7TS6,
  abstract     = {{ObjectiveTo identify which dynamic contrast-enhanced (DCE-)MRI features best predict histological response to neoadjuvant chemotherapy in patients with an osteosarcoma.MethodsPatients with osteosarcoma who underwent DCE-MRI before and after neoadjuvant chemotherapy prior to resection were retrospectively included at two different centers. Data from the center with the larger cohort (training cohort) was used to identify which method for region-of-interest selection (whole slab or focal area method) and which change in DCE-MRI features (time to enhancement, wash-in rate, maximum relative enhancement and area under the curve) gave the most accurate prediction of histological response. Models were created using logistic regression and cross-validated. The most accurate model was then externally validated using data from the other center (test cohort).ResultsFifty-five (27 poor response) and 30 (19 poor response) patients were included in training and test cohorts, respectively. Intraclass correlation coefficient of relative DCE-MRI features ranged 0.81-0.97 with the whole slab and 0.57-0.85 with the focal area segmentation method. Poor histological response was best predicted with the whole slab segmentation method using a single feature threshold, relative wash-in rate <2.3. Mean accuracy was 0.85 (95%CI: 0.75-0.95), and area under the receiver operating characteristic curve (AUC-index) was 0.93 (95%CI: 0.86-1.00). In external validation, accuracy and AUC-index were 0.80 and 0.80.ConclusionIn this study, a relative wash-in rate of <2.3 determined with the whole slab segmentation method predicted histological response to neoadjuvant chemotherapy in osteosarcoma. Consistent performance was observed in an external test cohort.}},
  author       = {{Kalisvaart, Gijsbert M. and Van Den Berghe, Thomas and Grootjans, Willem and Lejoly, Maryse and Huysse, Wouter and Bovée, Judith V. M. G. and Creytens, David and Gelderblom, Hans and Speetjens, Frank M. and Lapeire, Lore and van de Sande, Michiel A. J. and Sys, Gwen and de Geus-Oei, Lioe-Fee and Verstraete, Koenraad and Bloem, Johan L.}},
  issn         = {{0364-2348}},
  journal      = {{SKELETAL RADIOLOGY}},
  keywords     = {{Radiology, Nuclear Medicine and imaging,External validation,Histological response,Dynamic contrast-enhanced MRI,Neoadjuvant chemotherapy,Response monitoring,Osteosarcoma}},
  language     = {{eng}},
  pages        = {{319--328}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{Evaluation of response to neoadjuvant chemotherapy in osteosarcoma using dynamic contrast-enhanced MRI : development and external validation of a model}},
  url          = {{http://doi.org/10.1007/s00256-023-04402-8}},
  volume       = {{53}},
  year         = {{2024}},
}

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