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Lu Yang Department of Nuclear Medicine, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China

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Xingguo Jing Department of Nuclear Medicine, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China

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Hua Pang Department of Nuclear Medicine, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China

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Lili Guan Department of Nuclear Medicine, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China

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Mengdan Li Department of Nuclear Medicine, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China

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best results in MGD prediction. Looking forward, more integrated predictive models need to be explored to help clinicians develop optimal MGD treatment plans and reduce the incidence of postoperative PHPT persistence or recurrence. Meanwhile, the

Article Type:
Review Article
Collections:
Bone and Mineral Metabolism
DOI:
https://doi.org/10.1530/EC-23-0492
Volume/Issue:
Volume 13: Issue 5
Open access
Victoria Chatzimavridou-Grigoriadou Department of Endocrinology, Christie Hospital NHS Foundation Trust, Manchester, UK
Department of Endocrinology, University of Manchester, School of Medical Sciences, Manchester, UK

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Lisa H Barraclough Department of Endocrinology, Christie Hospital NHS Foundation Trust, Manchester, UK
Department of Endocrinology, University of Manchester, School of Medical Sciences, Manchester, UK

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Rohit Kochhar Department of Clinical Oncology, Christie Hospital NHS Foundation Trust, Manchester, UK

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Lucy Buckley Department of Radiology, Christie Hospital NHS Foundation Trust, Manchester, UK

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Nooreen Alam Department of Radiotherapy, Christie Hospital NHS Foundation Trust, Manchester, UK

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Claire E Higham Department of Endocrinology, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK

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-6555(9880113-1 ) 15 Mir R Dragan AD Mistry HB Tsang YM Padhani AR & Hoskin P . Sacral insufficiency fracture following pelvic radiotherapy in gynaecological malignancies: development of a predictive model . Clinics in Oncology 2020 27 . ( https

Article Type:
Research Article
Collections:
Bone and Mineral Metabolism
DOI:
https://doi.org/10.1530/EC-22-0328
Volume/Issue:
Volume 12: Issue 7
Open access
Huda M Elsharkasi Developmental Endocrinology Research Group, University of Glasgow, Glasgow, UK

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Suet C Chen Developmental Endocrinology Research Group, University of Glasgow, Glasgow, UK

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Lewis Steell Developmental Endocrinology Research Group, University of Glasgow, Glasgow, UK

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Shuko Joseph Developmental Endocrinology Research Group, University of Glasgow, Glasgow, UK
Paediatric Neurosciences Research Group, Royal Hospital for Children, NHS Greater Glasgow & Clyde, Glasgow, UK

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Naiemh Abdalrahaman Developmental Endocrinology Research Group, University of Glasgow, Glasgow, UK

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Christie McComb Department of Clinical Physics, NHS Greater Glasgow & Clyde, Glasgow, UK

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Blair Johnston Department of Clinical Physics, NHS Greater Glasgow & Clyde, Glasgow, UK

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John Foster Department of Clinical Physics, NHS Greater Glasgow & Clyde, Glasgow, UK

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Sze Choong Wong Developmental Endocrinology Research Group, University of Glasgow, Glasgow, UK

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S Faisal Ahmed Developmental Endocrinology Research Group, University of Glasgow, Glasgow, UK

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microarchitecture included age, height and BMI as predictors. The cortical geometry models included age, sex, height, BMI and muscle CSA as predictors. Model for MFF included age, weight and BMI, whereas models for other muscle parameters included age, sex, height

Article Type:
Research Article
Collections:
Bone and Mineral Metabolism
DOI:
https://doi.org/10.1530/EC-22-0034
Volume/Issue:
Volume 11: Issue 7
Open access