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The Bone & Joint Journal
Vol. 105-B, Issue 1 | Pages 11 - 16
1 Jan 2023
San-Julián M Gómez-Álvarez J Idoate MÁ Aquerreta JD Vázquez-García B Lamo-Espinosa JM

Paediatric bone sarcomas are a dual challenge for orthopaedic surgeons in terms of tumour resection and reconstruction, as it is important to minimize functional and growth problems without compromising survival rates. Cañadell’s technique consists of a Type I epiphysiolysis performed using continuous distraction by an external fixator prior to resection. It was designed to achieve a safe margin due to the ability of the physeal cartilage to be a barrier to tumour spread in some situations, avoiding the need for articular reconstruction, and preserving the growth capacity most of the times. Despite initial doubts raised in the scientific community, this technique is now widely used in many countries for the treatment of metaphyseal paediatric bone sarcomas. This annotation highlights the importance of Cañadell’s work and reviews the experience of applying it to bone sarcoma patients over the last 40 years.

Cite this article: Bone Joint J 2023;105-B(1):11–16.


The Bone & Joint Journal
Vol. 104-B, Issue 8 | Pages 911 - 914
1 Aug 2022
Prijs J Liao Z Ashkani-Esfahani S Olczak J Gordon M Jayakumar P Jutte PC Jaarsma RL IJpma FFA Doornberg JN

Artificial intelligence (AI) is, in essence, the concept of ‘computer thinking’, encompassing methods that train computers to perform and learn from executing certain tasks, called machine learning, and methods to build intricate computer models that both learn and adapt, called complex neural networks. Computer vision is a function of AI by which machine learning and complex neural networks can be applied to enable computers to capture, analyze, and interpret information from clinical images and visual inputs. This annotation summarizes key considerations and future perspectives concerning computer vision, questioning the need for this technology (the ‘why’), the current applications (the ‘what’), and the approach to unlocking its full potential (the ‘how’).

Cite this article: Bone Joint J 2022;104-B(8):911–914.


The Bone & Joint Journal
Vol. 101-B, Issue 12 | Pages 1476 - 1478
1 Dec 2019
Bayliss L Jones LD

This annotation briefly reviews the history of artificial intelligence and machine learning in health care and orthopaedics, and considers the role it will have in the future, particularly with reference to statistical analyses involving large datasets.

Cite this article: Bone Joint J 2019;101-B:1476–1478


The Journal of Bone & Joint Surgery British Volume
Vol. 94-B, Issue 1 | Pages 23 - 27
1 Jan 2012
Uzoigwe CE Middleton RG

Radiological imaging is necessary in a wide variety of trauma and elective orthopaedic operations. The evolving orthopaedic workforce includes an increasing number of pregnant workers. Current legislation in the United Kingdom, Europe and United States allows them to choose their degree of participation, if any, with fluoroscopic procedures. For those who wish to engage in radiation-prone procedures, specific regulations apply to limit the radiation dose to the pregnant worker and unborn child.

This paper considers those aspects of radiation protection, the potential effects of exposure to radiation in pregnancy and the dose of radiation from common orthopaedic procedures, which are important for safe clinical practice.