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Ghosh A, Li H, Towbin AJ, Turpin BK, Trout AT. Histogram Analysis of Apparent Diffusion Coefficient Maps Provides Genotypic and Pretreatment Phenotypic Information in Pediatric and Young Adult Rhabdomyosarcoma. Acad Radiol 2024; 31:2550-2561. [PMID: 38296742 DOI: 10.1016/j.acra.2024.01.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2023] [Revised: 01/02/2024] [Accepted: 01/05/2024] [Indexed: 02/02/2024]
Abstract
INTRODUCTION We evaluate the role of apparent diffusion coefficient (ADC) histogram metrics in stratifying pediatric and young adult rhabdomyosarcomas. METHODS We retrospectively evaluated baseline diffusion-weighted imaging (DWI) from 38 patients with rhabdomyosarcomas (Not otherwise specified: 2; Embryonal: 21; Spindle Cell: 2; Alveolar: 13, mean ± std dev age: 8.1 ± 7.76 years). The diffusion images were obtained on a wide range of 1.5 T and 3 T scanners at multiple sites. FOXO1 fusion status was available for 35 patients, nine of whom harbored the fusion. 13 patients were TNM stage 1, eight had stage 2 disease, nine were stage 3, and eight had stage 4 disease. 23 patients belonged to Clinical Group III and seven to Group IV, while two and five were CG I and II, respectively. Nine patients were classified as low risk, while 21 and five were classified as intermediate and high risk respectively. Histogram parameters of the apparent diffusion coefficient (ADC) map from the entire tumor were obtained based on manual tumor contouring. A two-tailed Mann-Whitney U test was used for all two-group, and the Kruskal-Wallis's test was used for multiple-group comparisons. Bootstrapped receiver operating characteristic (ROC) curves and areas under the curve (AUC) were generated for the statistically significant histogram parameters to differentiate genotypic and phenotypic parameters. RESULTS Alveolar rhabdomyosarcomas had a statistically significant lower 10th Percentile (586.54 ± 164.52, mean ± std dev, values are in ×10-6mm2/s) than embryonal rhabdomyosarcomas (966.51 ± 481.33) with an AUC of 0.85 (95%CI. 0.73-0.95) for differentiating the two. The 10th percentile was also significantly different between FOXO1 fusion-positive (553.87 ± 187.64) and negative (898.07 ± 449.38) rhabdomyosarcomas with an AUC of 0.83 (95% CI 0.71-0.94). Alveolar rhabdomyosarcomas also had statistically significant lower Mean, Median, and Root Mean Squared ADC histogram values than embryonal rhabdomyosarcomas. Four, five, and seven of the 18 histogram parameters evaluated demonstrated a statistically significant increase with higher TNM stage, clinical group, assignment, and pretreatment risk stratification, respectively. For example, Entropy had an AUC of 0.8 (95% CI. 0.67-0.92) for differentiating TNM stage 1 from ≥ stage 2 and 0.9 (95% CI. 0.8-0.98) for differentiating low from intermediate or high-risk stratification. CONCLUSION Our findings demonstrate the potential of ADC histogram metrics to predict clinically relevant variables for rhabdomyosarcoma, including FOXO1 fusion status, histopathology, Clinical Group, TNM staging, and risk stratification.
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Affiliation(s)
- Adarsh Ghosh
- Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA.
| | - Hailong Li
- Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA; Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA; Imaging Research Center, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Alexander J Towbin
- Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA; Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Brian K Turpin
- Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA; Division of Oncology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Andrew T Trout
- Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA; Department of Radiology, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
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van der Beek JN, Schenk JP, Morosi C, Watson TA, Coma A, Graf N, Chowdhury T, Ramírez-Villar GL, Spreafico F, Welter N, Dzhuma K, van Tinteren H, de Krijger RR, van den Heuvel-Eibrink MM, Littooij AS. Diagnostic magnetic resonance imaging characteristics of congenital mesoblastic nephroma: a retrospective multi-center International Society of Pediatric Oncology-Renal Tumor Study Group (SIOP-RTSG) radiology panel study. Pediatr Radiol 2024; 54:965-976. [PMID: 38609702 PMCID: PMC11111520 DOI: 10.1007/s00247-024-05918-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 03/20/2024] [Accepted: 03/21/2024] [Indexed: 04/14/2024]
Abstract
BACKGROUND Congenital mesoblastic nephroma is the most common solid renal tumor in neonates. Therefore, patients <3 months of age are advised to undergo upfront nephrectomy, whereas invasive procedures at diagnosis in patients ≥3 months of age are discouraged by the International Society of Pediatric Oncology-Renal Tumor Study Group (SIOP-RTSG). Nevertheless, discriminating congenital mesoblastic nephroma, especially from the more common Wilms tumor, solely based on imaging remains difficult. Recently, magnetic resonance imaging (MRI) has become the preferred modality. Studies focusing on MRI characteristics of congenital mesoblastic nephroma are limited. OBJECTIVE This study aims to identify diagnostic MRI characteristics of congenital mesoblastic nephroma in the largest series of patients to date. MATERIALS AND METHODS In this retrospective multicenter study, five SIOP-RTSG national review radiologists identified 52 diagnostic MRIs of histologically proven congenital mesoblastic nephromas. MRI was performed following SIOP-RTSG protocols, while radiologists assessed their national cases using a validated case report form. RESULTS Patients (24/52 classic, 11/52 cellular, and 15/52 mixed type congenital mesoblastic nephroma, 2/52 unknown) had a median age of 1 month (range 1 day-3 months). Classic type congenital mesoblastic nephroma appeared homogeneous with a lack of hemorrhage, necrosis and/or cysts, showing a concentric ring sign in 14 (58.3%) patients. Cellular and mixed type congenital mesoblastic nephroma appeared more heterogeneous and were larger (311.6 and 174.2 cm3, respectively, versus 41.0 cm3 for the classic type (P<0.001)). All cases were predominantly T2-weighted isointense and T1-weighted hypointense, and mean overall apparent diffusion coefficient values ranged from 1.05-1.10×10-3 mm2/s. CONCLUSION This retrospective international collaborative study showed classic type congenital mesoblastic nephroma predominantly presented as a homogeneous T2-weighted isointense mass with a typical concentric ring sign, whereas the cellular type appeared more heterogeneous. Future studies may use identified MRI characteristic of congenital mesoblastic nephroma for validation and for exploring the discriminative non-invasive value of MRI, especially from Wilms tumor.
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Affiliation(s)
- Justine N van der Beek
- Department of Radiology and Nuclear Medicine, University Medical Center Utrecht/Wilhelmina Children's Hospital, Utrecht University, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands.
- Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands.
| | - Jens-Peter Schenk
- Clinic of Diagnostic and Interventional Radiology, Division of Pediatric Radiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Carlo Morosi
- Department of Radiology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Tom A Watson
- Department of Paediatric Radiology, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - Ana Coma
- Department of Pediatric Radiology, Hospital Vall d'Hebron, Barcelona, Spain
| | - Norbert Graf
- Department of Pediatric Oncology & Hematology, Saarland University Medical Center and Saarland University Faculty of Medicine, Homburg, Germany
| | - Tanzina Chowdhury
- Department of Haematology and Oncology, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - Gema L Ramírez-Villar
- Department of Paediatric Oncology, Hospital Universitario Virgen del Rocío, Seville, Spain
| | - Filippo Spreafico
- Pediatric Oncology Unit, Department of Medical Oncology and Hematology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Nils Welter
- Department of Pediatric Oncology & Hematology, Saarland University Medical Center and Saarland University Faculty of Medicine, Homburg, Germany
| | - Kristina Dzhuma
- Developmental Biology and Cancer Department, University College London Great Ormond Street Institute of Child Health, London, UK
- Department of Paediatric Urology, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK
| | - Harm van Tinteren
- Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
| | - Ronald R de Krijger
- Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
- Department of Pathology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Marry M van den Heuvel-Eibrink
- Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
- Division of Child Health, Wilhelmina Children's Hospital, Utrecht University, Utrecht, The Netherlands
| | - Annemieke S Littooij
- Department of Radiology and Nuclear Medicine, University Medical Center Utrecht/Wilhelmina Children's Hospital, Utrecht University, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
- Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
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van Ewijk R, Chatziantoniou C, Adams M, Bertolini P, Bisogno G, Bouhamama A, Caro-Dominguez P, Charon V, Coma A, Dandis R, Devalck C, De Donno G, Ferrari A, Fiocco M, Gallego S, Giraudo C, Glosli H, Ter Horst SAJ, Jenney M, Klein WM, Leemans A, Leseur J, Mandeville HC, McHugh K, Merks JHM, Minard-Colin V, Moalla S, Morosi C, Orbach D, Ording Muller LS, Pace E, Di Paolo PL, Perruccio K, Quaglietta L, Renard M, van Rijn RR, Ruggiero A, Sirvent SI, De Luca A, Schoot RA. 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. Pediatr Radiol 2023; 53:2539-2551. [PMID: 37682330 PMCID: PMC10635937 DOI: 10.1007/s00247-023-05745-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 08/04/2023] [Accepted: 08/07/2023] [Indexed: 09/09/2023]
Abstract
OBJECTIVE To investigate the feasibility of diffusion-weighted magnetic resonance imaging (DW-MRI) as a predictive imaging marker after neoadjuvant chemotherapy in patients with rhabdomyosarcoma. MATERIAL AND METHODS We performed a multicenter retrospective study including pediatric, adolescent and young adult patients with rhabdomyosarcoma, Intergroup Rhabdomyosarcoma Study group III/IV, treated according to the European paediatric Soft tissue sarcoma Study Group (EpSSG) RMS2005 or MTS2008 studies. DW-MRI was performed according to institutional protocols. We performed two-dimensional single-slice tumor delineation. Areas of necrosis or hemorrhage were delineated to be excluded in the primary analysis. Mean, median and 5th and 95th apparent diffusion coefficient (ADC) were extracted. RESULTS Of 134 included patients, 82 had measurable tumor at diagnosis and response and DW-MRI scans of adequate quality and were included in the analysis. Technical heterogeneity in scan acquisition protocols and scanners was observed. Mean ADC at diagnosis was 1.1 (95% confidence interval [CI]: 1.1-1.2) (all ADC expressed in * 10-3 mm2/s), versus 1.6 (1.5-1.6) at response assessment. The 5th percentile ADC was 0.8 (0.7-0.9) at diagnosis and 1.1 (1.0-1.2) at response. Absolute change in mean ADC after neoadjuvant chemotherapy was 0.4 (0.3-0.5). Exploratory analyses for association between ADC and clinical parameters showed a significant difference in mean ADC at diagnosis for alveolar versus embryonal histology. Landmark analysis at nine weeks after the date of diagnosis showed no significant association (hazard ratio 1.3 [0.6-3.2]) between the mean ADC change and event-free survival. CONCLUSION A significant change in the 5th percentile and the mean ADC after chemotherapy was observed. Strong heterogeneity was identified in DW-MRI acquisition protocols between centers and in individual patients.
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Affiliation(s)
- Roelof van Ewijk
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS, Utrecht, The Netherlands.
| | - Cyrano Chatziantoniou
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS, Utrecht, The Netherlands
- Image Sciences Institute, UMC Utrecht, Utrecht, The Netherlands
| | - Madeleine Adams
- Department of Paediatric Oncology, Children's Hospital for Wales, University Hospital, Cardiff, UK
| | - Patrizia Bertolini
- Pediatric Hematology-Oncology Unit University-Hospital of Parma, Parma, Italy
| | - Gianni Bisogno
- Department of Women's and Children's Health, University of Padua, Padua, Italy
- Pediatric Hematology Oncology Division, University Hospital of Padua, Padua, Italy
| | - Amine Bouhamama
- Service de Radiologie Interventionnelle Oncologique, Centre Léon Bérard, Lyon, France
| | - Pablo Caro-Dominguez
- Pediatric Radiology Unit, Department of Radiology, Hospital Universitario Virgen del Rocío, Avenida Manuel Siurot S/N, Seville, Spain
| | | | - Ana Coma
- Paediatric Radiology Unit, Vall d´Hebron Hospital Campus, Barcelona, Spain
| | - Rana Dandis
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS, Utrecht, The Netherlands
| | | | - Giulia De Donno
- Image Sciences Institute, UMC Utrecht, Utrecht, The Netherlands
| | - Andrea Ferrari
- Pediatric Oncology Unit, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy
| | - Marta Fiocco
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS, Utrecht, The Netherlands
- Mathematical Institute, Leiden University, Leiden, The Netherlands
| | - Soledad Gallego
- Pediatric Oncology Department, Vall d'Hebron Hospital, Barcelona, Spain
| | - Chiara Giraudo
- Unit of Advanced Clinical and Translational Imaging, Department of Medicine-DIMED, University of Padova, 35122, Padua, Italy
| | - Heidi Glosli
- Department of Paediatric Research, Division of Paediatric and Adolescent Medicine, Oslo University Hospital, Oslo, Norway
| | - Simone A J Ter Horst
- Department of Radiology and Nuclear Medicine, Wilhelmina Children's Hospital, UMC Utrecht, Utrecht, The Netherlands
| | - Meriel Jenney
- Paediatric Oncology, Cardiff and Vale UHB, Cardiff, UK
| | - Willemijn M Klein
- Department of Medical Imaging, Radboud University Medical Center, Nijmegen, the Netherlands
| | | | - Julie Leseur
- Service de Radiothérapie, Centre Eugène Marquis, Rennes, France
| | - Henry C Mandeville
- Department of Radiotherapy, The Royal Marsden Hospital and The Institute of Cancer Research, Sutton, UK
| | - Kieran McHugh
- Department of Radiology, Great Ormond Street Hospital for Children, NHS Foundation Trust, London, UK
| | - Johannes H M Merks
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS, Utrecht, The Netherlands
- Division of Imaging and Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Veronique Minard-Colin
- Department of Pediatric and Adolescent Oncology, Gustave Roussy Cancer Campus, Université Paris-Saclay, Villejuif, France
| | - Salma Moalla
- Department of Imaging, Institut Gustave Roussy, Villejuif, France
| | - Carlo Morosi
- Diagnostic and Interventional Radiology, Fondazione IRCCS Istituto Nazionale Dei Tumori, Milan, Italy
| | - Daniel Orbach
- SIREDO Oncology Center (Care, Innovation and Research for Children and AYA With Cancer), Institut Curie, PSL Research University, Paris, France
| | - Lil-Sofie Ording Muller
- Department of Radiology and Intervention Unit for Paediatric Radiology, Oslo University Hospital, Ullevål, Norway
| | - Erika Pace
- Department of Radiology, The Royal Marsden NHS Foundation Trust, London, UK
| | - Pier Luigi Di Paolo
- Department of Radiology, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy
| | - Katia Perruccio
- Pediatric Hematology Oncology, Azienda Ospedaliera Universitaria, Ospedale Santa Maria Della Misericordia, Perugia, Italy
| | - Lucia Quaglietta
- Neuro-Oncology Unit, Department of Paediatric Oncology, Santobono-Pausilipon Children's Hospital, Naples, Italy
| | - Marleen Renard
- Department of Paediatric Hemato-Oncology, University Hospital Leuven, Louvain, Belgium
| | - Rick R van Rijn
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location University of Amsterdam, Amsterdam, the Netherlands
| | - Antonio Ruggiero
- Pediatric Oncology Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Sara I Sirvent
- Pediatric Radiology Department, Hospital Niño Jesús, Madrid, Spain
| | - Alberto De Luca
- Image Sciences Institute, UMC Utrecht, Utrecht, The Netherlands
- Department of Neurology, UMC Utrecht Brain Center, UMC Utrecht, Utrecht, The Netherlands
| | - Reineke A Schoot
- Princess Máxima Center for Pediatric Oncology, Heidelberglaan 25, 3584 CS, Utrecht, The Netherlands
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