Quantitative diffusion-weighted MRI response assessment in rhabdomyosarcoma: an international retrospective study on behalf of the European paediatric Soft tissue sarcoma Study Group Imaging Committee

[1]  A. Leemans,et al.  Methodological considerations on segmenting rhabdomyosarcoma with diffusion-weighted imaging—What can we do better? , 2023, Insights into Imaging.

[2]  L. de Geus-Oei,et al.  Standardised lesion segmentation for imaging biomarker quantitation: a consensus recommendation from ESR and EORTC , 2022, Insights into Imaging.

[3]  D. Lacombe,et al.  QUARTET: A SIOP Europe project for quality and excellence in radiotherapy and imaging for children and adolescents with cancer. , 2022, European journal of cancer.

[4]  K. McHugh,et al.  Metastatic Rhabdomyosarcoma: Results of the European Paediatric Soft Tissue Sarcoma Study Group MTS 2008 Study and Pooled Analysis With the Concurrent BERNIE Study , 2022, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[5]  D. Le Bihan,et al.  A survey by the European Society of Breast Imaging on the implementation of breast diffusion-weighted imaging in clinical practice , 2022, European Radiology.

[6]  S. Donaldson,et al.  An update on rhabdomyosarcoma risk stratification and the rationale for current and future Children's Oncology Group clinical trials , 2022, Pediatric blood & cancer.

[7]  K. McHugh,et al.  European guideline for imaging in paediatric and adolescent rhabdomyosarcoma — joint statement by the European Paediatric Soft Tissue Sarcoma Study Group, the Cooperative Weichteilsarkom Studiengruppe and the Oncology Task Force of the European Society of Paediatric Radiology , 2021, Pediatric Radiology.

[8]  J. H. van der Lee,et al.  The Value of Early Tumor Size Response to Chemotherapy in Pediatric Rhabdomyosarcoma , 2021, Cancers.

[9]  A. Alessio,et al.  SNMMI Procedure Standard/EANM Practice Guideline on Pediatric 18F-FDG PET/CT for Oncology 1.0 , 2020, The Journal of Nuclear Medicine.

[10]  T. MacDonald,et al.  Response assessment in paediatric high-grade glioma: recommendations from the Response Assessment in Pediatric Neuro-Oncology (RAPNO) working group. , 2020, The Lancet. Oncology.

[11]  M. Moseley,et al.  Therapy Response Assessment of Pediatric Tumors with Whole-Body Diffusion-weighted MRI and FDG PET/MRI. , 2020, Radiology.

[12]  Yu Zhang,et al.  Intravoxel incoherent motion diffusion-weighted imaging assessment of microvascular characteristics in the murine embryonal rhabdomyosarcoma model , 2019, Acta radiologica.

[13]  D. Le Bihan,et al.  Diffusion-weighted imaging of the breast—a consensus and mission statement from the EUSOBI International Breast Diffusion-Weighted Imaging working group , 2019, European Radiology.

[14]  D. Rodeberg,et al.  Refinement of risk stratification for childhood rhabdomyosarcoma using FOXO1 fusion status in addition to established clinical outcome predictors: A report from the Children's Oncology Group , 2019, Cancer medicine.

[15]  H. Daldrup-Link,et al.  Association of Tumor [18F]FDG Activity and Diffusion Restriction with Clinical Outcomes of Rhabdomyosarcomas , 2018, Molecular Imaging and Biology.

[16]  H. Mandeville,et al.  Fusion status in patients with lymph node‐positive (N1) alveolar rhabdomyosarcoma is a powerful predictor of prognosis: Experience of the European Paediatric Soft Tissue Sarcoma Study Group (EpSSG) , 2018, Cancer.

[17]  D. Caramella,et al.  3T diffusion-weighted MRI in the response assessment of colorectal liver metastases after chemotherapy: Correlation between ADC value and histological tumour regression grading. , 2017, European journal of radiology.

[18]  C. Lehman,et al.  Diffusion‐weighted imaging outside the brain: Consensus statement from an ISMRM‐sponsored workshop , 2016, Journal of magnetic resonance imaging : JMRI.

[19]  L. Fayad,et al.  Multiparametric Assessment of Treatment Response in High-Grade Soft-Tissue Sarcomas with Anatomic and Functional MR Imaging Sequences. , 2016, Radiology.

[20]  Erich P Huang,et al.  Metrology Standards for Quantitative Imaging Biomarkers. , 2015, Radiology.

[21]  B. Phillips,et al.  Mind the gap: extent of use of diffusion-weighted MRI in children with rhabdomyosarcoma , 2015, Pediatric Radiology.

[22]  Eric J. W. Visser,et al.  FDG PET/CT: EANM procedure guidelines for tumour imaging: version 2.0 , 2014, European Journal of Nuclear Medicine and Molecular Imaging.

[23]  James R. Anderson,et al.  Early response as assessed by anatomic imaging does not predict failure-free survival among patients with Group III rhabdomyosarcoma: a report from the Children's Oncology Group. , 2014, European journal of cancer.

[24]  Nicholas J. Baldwin,et al.  Great Ormond Street Hospital for children , 2013 .

[25]  N. Bulakbaşı,et al.  Pediatric abdominal masses: diagnostic accuracy of diffusion weighted MRI. , 2010, Magnetic resonance imaging.

[26]  Neil J Sebire,et al.  Tumors in pediatric patients at diffusion-weighted MR imaging: apparent diffusion coefficient and tumor cellularity. , 2007, Radiology.

[27]  Y. Ni,et al.  Effect of vascular targeting agent in rat tumor model: dynamic contrast-enhanced versus diffusion-weighted MR imaging. , 2005, Radiology.

[28]  M. Tattersall,et al.  Oncology , 1999 .

[29]  M Buyse,et al.  On the relationship between response to treatment and survival time. , 1996, Statistics in medicine.

[30]  J R Anderson,et al.  Analysis of survival by tumor response. , 1983, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[31]  R. Joynt.  Department , 1960, Neurology.

[32]  T. Vogl,et al.  Diagnostic and Interventional Radiology , 2016 .

[33]  E. Thomas.  Institute , 2006, Schweizerische Zeitschrift für Hydrologie.

[34]  D. Abou.  Department of radiology , 1966 .