Australian Institute of Health and Welfare. Child Protection Australia 2022–23. AIHW; 2024.

Leaman LA, Hennrikus WL, Bresnahan JJ. Identifying non-accidental fractures in children aged <2 years. J Child Orthop. 2016;10(4):335–41.

PubMed  PubMed Central  Google Scholar 

Offiah A, van Rijn RR, Perez-Rossello JM, Kleinman PK. Skeletal imaging of child abuse (non-accidental injury). Pediatr Radiol. 2009;39(5):461–70.

PubMed  Google Scholar 

The Royal College of Radiologists. The radiological investigation of suspected physical abuse in children. 2018.

Radiology AC of. ACR–SPR practice parameter for the performance and interpretation of skeletal surveys in children. Am Coll Radiol ACR Stand Am Coll Radiol Rest. 2016;1–9.

Sanchez TR, Grasparil AD, Chaudhari R, Coulter KP, Wootton-Gorges SL. Characteristics of rib fractures in child abuse - the role of low-dose chest computed tomography. Pediatr Emerg Care. 2018;34(2):81–3.

PubMed  Google Scholar 

Shelmerdine SC, Langan D, Hutchinson JC, Hickson M, Pawley K, Suich J, Palm L, et al. Chest radiographs versus CT for the detection of rib fractures in children (DRIFT): a diagnostic accuracy observational study. Lancet Child Adolescent Health. 2018;2(11):802–11.

PubMed  Google Scholar 

Wootton-Gorges SL, Stein-Wexler R, Walton JW, Rosas AJ, Coulter KP, Rogers KK. Comparison of computed tomography and chest radiography in the detection of rib fractures in abused infants. Child Abuse Negl. 2008;32(6):659–63.

PubMed  Google Scholar 

Schulze C, Hoppe H, Schweitzer W, Schwendener N, Grabherr S, Jackowski C. Rib fractures at postmortem computed tomography (PMCT) validated against the autopsy. Forensic Sci Int. 2013;233(1–3):90–8.

PubMed  Google Scholar 

Hong TS, Reyes JA, Moineddin R, Chiasson DA, Berdon WE, Babyn PS. Value of postmortem thoracic CT over radiography in imaging of pediatric rib fractures. Pediatr Radiol. 2011;41(6):736–48.

PubMed  Google Scholar 

Martin A, Paddock M, Johns CS, Smith J, Raghavan A, Connolly DJA, et al. Avoiding skull radiographs in infants with suspected inflicted injury who also undergo head CT:“a no-brainer?” Eur Radiol. 2019. https://doi.org/10.1007/s00330-019-06579-w.

Article  PubMed  PubMed Central  Google Scholar 

Mulroy MH, Loyd AM, Frush DP, Verla TG, Myers BS, Cameron R. Evaluation of pediatric skull fracture imaging techniques. Forensic Sci Int. 2012;214(1–3):167–72.

PubMed  Google Scholar 

Sharp SR, Patel SM, Brown RE, Landes C. Head imaging in suspected non accidental injury in the paediatric population. In the advent of volumetric CT imaging, has the skull X-ray become redundant? Clin Radiol. 2018;73(5):449–53.

CAS  PubMed  Google Scholar 

Kim Y-I, Cheong J-W, Yoon SH. Clinical comparison of the predictive value of the simple skull x-ray and 3 dimensional computed tomography for skull fractures of children. J Korean Neurosurg Soc. 2012;52(6):528.

PubMed  PubMed Central  Google Scholar 

Culotta PA, Crowe JE, Tran Q-A, Jones JY, Mehollin-Ray AR, Tran HB, et al. Performance of computed tomography of the head to evaluate for skull fractures in infants with suspected non-accidental trauma. Pediatr Radiol. 2017;47(1):74–81.

PubMed  Google Scholar 

Lawson M, Tully J, Ditchfield M, Kuganesan A, Badawy MK. Using computed tomography skeletal surveys to evaluate for occult bony injury in suspected non‐accidental injury cases–a preliminary experience. J Med Imaging Radiat Oncol. 2021. https://doi.org/10.1111/1754-9485.13271.

Article  PubMed  Google Scholar 

Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977. https://doi.org/10.2307/2529310.

Article  PubMed  Google Scholar 

The Royal Australian and New Zealand College of Radiologists. Guideline for imaging of suspected non-accidental injury. 2022.

Karmazyn B, et al. Double-read of skeletal surveys in suspected non-accidental trauma: what we learned. Pediatr Radiol. 2017;47(5):584–9.

PubMed  Google Scholar 

Lawson M, Berk K, Badawy M, Qi Y, Kuganesan A, Metcalfe P. Comparison of organ and effective dose estimations from different monte carlo simulation-based software methods in infant CT and comparison with direct phantom measurements. J Appl Clin Med Phys. 2022;23(6): e13625.

PubMed  PubMed Central  Google Scholar 

Zimmerman S, Makoroff K, Care M, Thomas A, Shapiro R. Utility of follow-up skeletal surveys in suspected child physical abuse evaluations. Child Abuse Negl. 2005;29(10):1075–83.

PubMed  Google Scholar 

Harlan SR, Nixon GW, Campbell KA, Hansen K, Prince JS. Follow-up skeletal surveys for nonaccidental trauma: can a more limited survey be performed? Pediatr Radiol. 2009;39(9):962–8.

PubMed  Google Scholar 

Mandelstam SA, Cook D, Fitzgerald M, Ditchfield MR. Complementary use of radiological skeletal survey and bone scintigraphy in detection of bony injuries in suspected child abuse. Arch Dis Child. 2003;88(5):387–90.

CAS  PubMed  PubMed Central  Google Scholar 

Ingram JD, Connell J, Hay TC, Strain JD, Mackenzie T. Oblique radiographs of the chest in nonaccidental trauma. Emerg Radiol. 2000;7(1):42–6.

Google Scholar 

Marine MB, Corea D, Steenburg SD, Wanner M, Eckert GJ, Jennings SG, et al. Is the new ACR-SPR practice guideline for addition of oblique views of the ribs to the skeletal survey for child abuse justified? Am J Roentgenol. 2014;202(4):868–71.

Google Scholar 

Nguyen A, Hart R. Imaging of non-accidental injury; what is clinical best practice? J Med Radiat Sci. 2018;65(2):123–30.

PubMed  PubMed Central  Google Scholar 

Klotzbach H, Delling G, Richter E, Sperhake J, Püschel K. Post-mortem diagnosis and age estimation of infants’ fractures. Int J Legal Med. 2003;117(2):82–9.

CAS  PubMed  Google Scholar 

Kleinman PK, Perez-Rossello JM, Newton AW, Feldman HA, Kleinman PL. Prevalence of the classic metaphyseal lesion in infants at low versus high risk for abuse. Am J Roentgenol. 2011;197(4):1005–8.

Google Scholar 

Shelmerdine SC, Davendralingam N, Langan D, Palm L, Mangham C, Arthurs OJ. Post-mortem skeletal survey (PMSS) versus post-mortem computed tomography (PMCT) for the detection of corner metaphyseal lesions (CML) in children. Eur Radiol. 2024;9:1–9.

Google Scholar 

Kemp AM, et al. Which radiological investigations should be performed to identify fractures in suspected child abuse? Clin Radiol. 2006;61(9):723–36.

CAS  PubMed  Google Scholar 

Rao R, Browne D, Lunt B, Perry D, Reed P, Kelly P. Radiation doses in diagnostic imaging for suspected physical abuse. Arch Dis Child. 2019. https://doi.org/10.1136/archdischild-2018-316286.

Article  PubMed  Google Scholar 

Council NR. Health risks from exposure to low levels of ionizing radiation: BEIR VII phase 2. Vol. 7. National Academies Press; 2006.

Lawson M, Tully J, Ditchfield M, Metcalfe P, Qi Y, Kuganesan A, et al. A review of current imaging techniques used for the detection of occult bony fractures in young children suspected of sustaining non-accidental injury. J Med Imaging Radiat Oncol. 2022;66(1):68–78.

PubMed  Google Scholar 

Anam C, Fujibuchi T, Budi WS, Haryanto F, Dougherty G. An algorithm for automated modulation transfer function measurement using an edge of a PMMA phantom: impact of field of view on spatial resolution of CT images. J Appl Clin Med Phys. 2018;19(6):244–52.

PubMed  PubMed Central  Google Scholar