Clare Ashwin1, J Ciaran Hutchinson1,2, Xin Kang3, Dean Langan2, Rod Jones1,4, Wendy Norman1,4, Mieke Cannie5,6, Jacques Jani3, Neil J Sebire1,2, Owen J Arthurs1,2. 1. Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK. 2. UCL Great Ormond Street Institute of Child Health, London, UK. 3. Department of Obstetrics and Gynecology, University Hospital Brugmann, Université Libre de Bruxelles, Brussels, Belgium. 4. Centre for Cardiovascular Imaging, UCL Institute of Cardiovascular Science, London, UK. 5. Department of Radiology, University Hospital Brugmann, Université Libre de Bruxelles, Brussels, Belgium. 6. Department of Radiology, UZ Brussel, Vrije Universiteit Brussel, Brussels, Belgium.
Abstract
OBJECTIVE: The objective of the study is to compare diagnostic accuracy of perinatal post-mortem magnetic resonance (PMMR) imaging against conventional autopsy, when reported by a single-blinded observer for all organ systems following a period of initial experience. METHODS: We compared pre-autopsy PMMR with conventional autopsy for the detection of (1) major pathological abnormalities related to the cause of death and (2) all diagnostic findings in five different body organ systems. PMMR was reported blinded to autopsy findings. RESULTS: In 201 cases, 123/146 (84.2%) of major abnormalities were identified by PMMR. Overall diagnostic accuracy of PMMR was 89.6% [95% confidence interval (CI): 84.3, 93.2%] across all cases, with high concordance 91.8% (95% CI: 89.9, 93.4%) across most organ systems. Our study showed higher concordance than single reporter statistics previously reported in neurological [92.2% vs 73.8%; diff 18.4% (95% CI: 11.0, 25.4%) p < 0.01] and thoracic systems [93.7% vs 81.2%; diff 12.5% (95% CI: 6.3, 18.4%) p < 0.01] and slightly better overall [91.8% vs 87.1%; diff 4.7% (95% CI: 2.1, 7.3%) p < 0.01]. CONCLUSION: The PMMR examinations can be reliably reported by a single radiologist, following a period of experience and training with this specific modality, with high-diagnostic accuracy for all organ systems.
OBJECTIVE: The objective of the study is to compare diagnostic accuracy of perinatal post-mortem magnetic resonance (PMMR) imaging against conventional autopsy, when reported by a single-blinded observer for all organ systems following a period of initial experience. METHODS: We compared pre-autopsy PMMR with conventional autopsy for the detection of (1) major pathological abnormalities related to the cause of death and (2) all diagnostic findings in five different body organ systems. PMMR was reported blinded to autopsy findings. RESULTS: In 201 cases, 123/146 (84.2%) of major abnormalities were identified by PMMR. Overall diagnostic accuracy of PMMR was 89.6% [95% confidence interval (CI): 84.3, 93.2%] across all cases, with high concordance 91.8% (95% CI: 89.9, 93.4%) across most organ systems. Our study showed higher concordance than single reporter statistics previously reported in neurological [92.2% vs 73.8%; diff 18.4% (95% CI: 11.0, 25.4%) p < 0.01] and thoracic systems [93.7% vs 81.2%; diff 12.5% (95% CI: 6.3, 18.4%) p < 0.01] and slightly better overall [91.8% vs 87.1%; diff 4.7% (95% CI: 2.1, 7.3%) p < 0.01]. CONCLUSION: The PMMR examinations can be reliably reported by a single radiologist, following a period of experience and training with this specific modality, with high-diagnostic accuracy for all organ systems.
Authors: S C Shelmerdine; J C Hutchinson; L Ward; T Sekar; M T Ashworth; S Levine; N J Sebire; O J Arthurs Journal: Ultrasound Obstet Gynecol Date: 2020-05 Impact factor: 7.299
Authors: Susan C Shelmerdine; Cheryl Main; John Ciaran Hutchinson; Dean Langan; Neil J Sebire; Owen J Arthurs Journal: Int J Legal Med Date: 2018-07-28 Impact factor: 2.686
Authors: Susan Cheng Shelmerdine; Dean Langan; Uday Mandalia; Neil James Sebire; Owen John Arthurs Journal: Prenat Diagn Date: 2019-11-29 Impact factor: 3.050
Authors: Susan C Shelmerdine; J Ciaran Hutchinson; Celine Lewis; Ian C Simcock; Thivya Sekar; Neil J Sebire; Owen J Arthurs Journal: Insights Imaging Date: 2021-07-15
Authors: Aurélie D'Hondt; Marie Cassart; Raymond De Maubeuge; Gustavo Soto Ares; Jacques Rommens; E Fred Avni Journal: Insights Imaging Date: 2018-06-04