P Malik1, L Antonini2, P Mannam1, F N Aboobacker3, A Merve4, K Gilmour5, K Rao6, S Kumar7, S E Mani1, D Eleftheriou8, A Rao9, C Hemingway10, S V Sudhakar11, J Bartram9, K Mankad12. 1. From the Departments of Diagnostic Imaging (P. Malik, P. Mannam, S.E.M.). 2. Department of Paediatric Hemato-Oncology (L.A.), G. Salesi Hospital, Ancona, Italy. 3. Hematology (F.N.A.). 4. Department of Histopathology (A.M.). 5. Immunology (K.G.). 6. Bone Marrow Transplant Unit (K.R.). 7. Child Heath (S.K.), Christian Medical College, Vellore, India. 8. Paediatric Rheumatology (D.E.), Great Ormond Street Hospital for Children and University College, London, UK. 9. Department of Pediatric Hematology (A.R., J.B.). 10. Department of Pediatric Neurology (C.H.). 11. Pediatric Neuroradiology Unit (S.V.S., K.M.). 12. Pediatric Neuroradiology Unit (S.V.S., K.M.) drmankad@gmail.com.
Abstract
BACKGROUND AND PURPOSE: Neuroimaging has an important role in detecting CNS involvement in children with systemic or CNS isolated hemophagocytic lymphohistiocytosis. We characterized a cohort of pediatric patients with CNS hemophagocytic lymphohistiocytosis focusing on neuroradiologic features and assessed whether distinct MR imaging patterns and genotype correlations can be recognized. MATERIALS AND METHODS: We retrospectively enrolled consecutive pediatric patients diagnosed with hemophagocytic lymphohistiocytosis with CNS involvement treated at 2 pediatric neurology centers between 2010 and 2018. Clinical and MR imaging data were analyzed. RESULTS: Fifty-seven children (40 primary, 70%) with a median age of 36 months (interquartile range, 5.5-80.8 months) were included. One hundred twenty-three MR imaging studies were assessed, and 2 broad imaging patterns were identified. Pattern 1 (significant parenchymal disease, 32/57, 56%) was seen in older children (P = .004) with worse clinical profiles. It had 3 onset subpatterns: multifocal white matter lesions (21/32, 66%), brainstem predominant disease (5, 15%), and cerebellitis (6, 19%). All patients with the brainstem pattern failed to meet the radiologic criteria for chronic lymphocytic inflammation with pontine perivascular enhancement responsive to steroids. An attenuated imaging phenotype (pattern 2) was seen in 25 patients (44%, 30 studies) and was associated with younger age. CONCLUSIONS: Distinct MR imaging patterns correlating with clinical phenotypes and possible genetic underpinnings were recognized in this cohort of pediatric CNS hemophagocytic lymphohistiocytosis. Disruptive mutations and missense mutations with absent protein expression correlate with a younger onset age. Children with brainstem and cerebellitis patterns and a negative etiologic work-up require directed assessment for CNS hemophagocytic lymphohistiocytosis.
BACKGROUND AND PURPOSE: Neuroimaging has an important role in detecting CNS involvement in children with systemic or CNS isolated hemophagocytic lymphohistiocytosis. We characterized a cohort of pediatric patients with CNS hemophagocytic lymphohistiocytosis focusing on neuroradiologic features and assessed whether distinct MR imaging patterns and genotype correlations can be recognized. MATERIALS AND METHODS: We retrospectively enrolled consecutive pediatric patients diagnosed with hemophagocytic lymphohistiocytosis with CNS involvement treated at 2 pediatric neurology centers between 2010 and 2018. Clinical and MR imaging data were analyzed. RESULTS: Fifty-seven children (40 primary, 70%) with a median age of 36 months (interquartile range, 5.5-80.8 months) were included. One hundred twenty-three MR imaging studies were assessed, and 2 broad imaging patterns were identified. Pattern 1 (significant parenchymal disease, 32/57, 56%) was seen in older children (P = .004) with worse clinical profiles. It had 3 onset subpatterns: multifocal white matter lesions (21/32, 66%), brainstem predominant disease (5, 15%), and cerebellitis (6, 19%). All patients with the brainstem pattern failed to meet the radiologic criteria for chronic lymphocytic inflammation with pontine perivascular enhancement responsive to steroids. An attenuated imaging phenotype (pattern 2) was seen in 25 patients (44%, 30 studies) and was associated with younger age. CONCLUSIONS: Distinct MR imaging patterns correlating with clinical phenotypes and possible genetic underpinnings were recognized in this cohort of pediatric CNS hemophagocytic lymphohistiocytosis. Disruptive mutations and missense mutations with absent protein expression correlate with a younger onset age. Children with brainstem and cerebellitis patterns and a negative etiologic work-up require directed assessment for CNS hemophagocytic lymphohistiocytosis.
Authors: L Chiapparini; G Uziel; C Vallinoto; M G Bruzzone; A Rovelli; G Tricomi; A Bizzi; N Nardocci; C Rizzari; M Savoiardo Journal: Neurol Sci Date: 2011-01-14 Impact factor: 3.307
Authors: K Deiva; N Mahlaoui; F Beaudonnet; G de Saint Basile; G Caridade; D Moshous; Y Mikaeloff; S Blanche; A Fischer; M Tardieu Journal: Neurology Date: 2012-03-14 Impact factor: 9.910
Authors: Annaliesse Blincoe; Maximilian Heeg; Patrick K Campbell; Melissa Hines; Amer Khojah; Marisa Klein-Gitelman; Julie-An Talano; Carsten Speckmann; Fabien Touzot; Arjan Lankester; Geertje E Legger; Jacques G Rivière; Marina Garcia-Prat; Laura Alonso; Maria C Putti; Kai Lehmberg; Sarah Maier; Yasmine El Chazli; Marwa Abd Elmaksoud; Itziar Astigarraga; Natalja Kurjane; Inita Bulina; Viktorija Kenina; Yenan Bryceson; Jelena Rascon; Anne Lortie; Gal Goldstein; Claire Booth; Austen Worth; Evangeline Wassmer; Erica G Schmitt; Julia T Warren; Jeffrey J Bednarski; Salah Ali; Kuang-Yueh Chiang; Joerg Krueger; Michael M Henry; Steven M Holland; Rebecca A Marsh; Stephan Ehl; Elie Haddad Journal: J Clin Immunol Date: 2020-07-07 Impact factor: 8.317
Authors: Sean J Pittock; Jan Debruyne; Karl N Krecke; Caterina Giannini; Jelle van den Ameele; Veerle De Herdt; Andrew McKeon; Robert D Fealey; Brian G Weinshenker; Allen J Aksamit; Bruce R Krueger; Elizabeth A Shuster; B Mark Keegan Journal: Brain Date: 2010-07-17 Impact factor: 13.501
Authors: W Oliver Tobin; Yong Guo; Karl N Krecke; Joseph E Parisi; Claudia F Lucchinetti; Sean J Pittock; Jay Mandrekar; Divyanshu Dubey; Jan Debruyne; B Mark Keegan Journal: Brain Date: 2017-09-01 Impact factor: 13.501