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Bjr Open

Bjr Open is a scientific journal, published by Oxford University Press since 2018 in English. The journal's country of origin is United Kingdom and its primary focus area is radiology.
Details
Abbr. BJR Open
Publisher Oxford University Press
Start 2018
End Continuing
Frequency Continuously updated
e-ISSN 2513-9878
Country United Kingdom
Language English
Specialty Radiology
Recent Articles
1.
Combined with the semantic features of CT and selected clinical variables, a machine learning model for accurately predicting the prognosis of Omicron was established
Jin D, Li Z, Deng Z, Nan J, Huang P, Zeng B, et al.
BJR Open . 2025 Feb; 7(1):tzae013. PMID: 40008207
Objectives: To efficiently use medical resources and offer optimal personalized treatment for individuals with Omicron infection, it is vital to predict the disease's outcome early on. This research developed three...
2.
Insufficiency fractures in patients with sacral chordoma treated with high-dose radiation therapy with and without resection
Miladinovic V, van der Wal R, Appelman-Dijkstra N, Navas Canete A, Peul W, Bloem J, et al.
BJR Open . 2025 Jan; 7(1):tzaf001. PMID: 39885921
Objectives: Determine the incidence, location, and features of insufficiency fractures (IFs) in sacral chordoma patients treated with high-dose radiation therapy (HDR) with(out) resection, relative to radiation therapy type and irradiation...
3.
Definition of a disability weight for human exposure to ionizing radiation and its application to the justification of medical exposure
Kotre C
BJR Open . 2024 Dec; 7(1):tzae043. PMID: 39734597
Objectives: To establish a link between radiation dosimetry and disability-adjusted life-years (DALY) with the aim of quantifying the justification of medical exposures. Methods: The health detriment, defined as lifetime loss...
4.
Correction to: A review on optimization of Wilms tumour management using radiomics
BJR Open . 2024 Dec; 6(1):tzae044. PMID: 39668851
[This corrects the article DOI: 10.1093/bjro/tzae034.].
5.
Detection, measurement, and diagnosis of lung nodules by ultra-low-dose CT in lung cancer screening: a systematic review
Pan Z, Zhang Y, Zhang L, Wang L, Zhao K, Li Q, et al.
BJR Open . 2024 Dec; 6(1):tzae041. PMID: 39665102
Objective: There is a lack of recent meta-analyses and systematic reviews on the use of ultra-low-dose CT (ULDCT) for the detection, measurement, and diagnosis of lung nodules. This review aims...
6.
Survival and relapse patterns in patients of cranial vs extra-cranial oligometastases treated with stereotactic radiosurgery/stereotactic body radiation therapy and systemic therapy
Anand A, Kakkar N, Immanuel V, Pannu J, Chaudhoory A, Malhotra H, et al.
BJR Open . 2024 Dec; 6(1):tzae042. PMID: 39659868
Objectives: To evaluate the outcome of patients with cranial (C) and extra-cranial (EC) oligometastases treated with stereotactic radiosurgery (SRS)/stereotactic body radiotherapy (SBRT) and standard of care systemic therapy. Methods: During...
7.
The quantitative impact of prostate-specific membrane antigen (PSMA) PET/CT staging in newly diagnosed metastatic prostate cancer and treatment-decision implications
Abdel-Aty H, Hujairi N, Murray I, Yogeswaran Y, van As N, James N
BJR Open . 2024 Nov; 6(1):tzae040. PMID: 39606160
Objectives: To quantify the stage-shift with prostate-specific membrane antigen (PSMA) PET/CT imaging in metastatic prostate cancer and explore treatment implications. Methods: Single-centre, retrospective analysis of patients with newly diagnosed [F]PSMA-1007...
8.
Artificial intelligence research in radiation oncology: a practical guide for the clinician on concepts and methods
Hoebers F, Wee L, Likitlersuang J, Mak R, Bitterman D, Huang Y, et al.
BJR Open . 2024 Nov; 6(1):tzae039. PMID: 39583148
The use of artificial intelligence (AI) holds great promise for radiation oncology, with many applications being reported in the literature, including some of which are already in clinical use. These...
9.
Application of CT-based foundational artificial intelligence and radiomics models for prediction of survival for lung cancer patients treated on the NRG/RTOG 0617 clinical trial
Upadhaya T, Chetty I, McKenzie E, Bagher-Ebadian H, Atkins K
BJR Open . 2024 Nov; 6(1):tzae038. PMID: 39568594
Objectives: To apply CT-based foundational artificial intelligence (AI) and radiomics models for predicting overall survival (OS) for patients with locally advanced non-small cell lung cancer (NSCLC). Methods: Data for 449...
10.
Post-mortem CT service structures in non-suspicious death investigations
Davendralingam N, Brookes A, Shah M, Shelmerdine S
BJR Open . 2024 Nov; 6(1):tzae036. PMID: 39552614
Post-mortem CT (PMCT) is increasingly used in adult post-mortem investigations as a non-invasive alternative to traditional autopsies. Using PMCT supports death investigations in the face of severe pathologist workforce shortages...