Clinical evaluation of the efficacy of limbus artificial intelligence software to augment contouring for prostate and nodes radiotherapy
CONCLUSIONS: Limbus offers significant time saving and has become an essential part of our clinical practice.ADVANCES IN KNOWLEDGE: This paper is the first paper to include bowel and lymph nodes when assessing potential time savings using Limbus software. It demonstrates that Limbus can be used as an aid for prostate and node radiotherapy treatment planning.PMID:38627245 | DOI:10.1093/bjr/tqae077 (Source: The British Journal of Radiology)
Source: The British Journal of Radiology - April 16, 2024 Category: Radiology Authors: Alison Starke Jacqueline Poxon Kishen Patel Paula Wells Max Morris Pandora Rudd Karen Tipples Niall MacDougall Source Type: research

Accuracy of Magnetic Resonance Imaging-Ultrasound Fusion-Guided and Systematic Biopsy of the Prostate
CONCLUSIONS: In the detection of clinically significant prostate cancer, the combination of systematic and targeted biopsies proves most effective. Targeted biopsies rarely missed significant cancer for posterior PI-RADS 5 lesions, suggesting systematic biopsies could be reserved for instances where targeted biopsy results are negative.ADVANCES IN KNOWLEDGE: This study emphasizes on the efficacy of mpMRI and targeted biopsies in suspected prostate cancer in real-world clinical context. For PI-RADS 5 lesions, systematic biopsies provide limited clinical benefit and may only be necessary when targeted biopsy results are nega...
Source: The British Journal of Radiology - April 16, 2024 Category: Radiology Authors: Thomas In de Braekt Sanne B T van Rooij Alette W Daniels-Gooszen Wout A Scheepens Rik de Jongh Steven L Bosch Joost Nederend Source Type: research

Conversion of single-energy computed tomography to parametric maps of dual-energy computed tomography using convolutional neural network
CONCLUSIONS: SECT images were directly converted to the three parametric maps of DECT (ie, VMIs, EAN, and RED). By using this model, one can generate the parametric information from SECT images without DECT device. Our model can help investigate the parametric information from SECT retrospectively.ADVANCES IN KNOWLEDGE: Deep learning framework enables converting SECT to various high-quality parametric maps of DECT.PMID:38597871 | DOI:10.1093/bjr/tqae076 (Source: The British Journal of Radiology)
Source: The British Journal of Radiology - April 10, 2024 Category: Radiology Authors: Sangwook Kim Jimin Lee Jungye Kim Bitbyeol Kim Chang Heon Choi Seongmoon Jung Source Type: research

Conversion of single-energy computed tomography to parametric maps of dual-energy computed tomography using convolutional neural network
CONCLUSIONS: SECT images were directly converted to the three parametric maps of DECT (ie, VMIs, EAN, and RED). By using this model, one can generate the parametric information from SECT images without DECT device. Our model can help investigate the parametric information from SECT retrospectively.ADVANCES IN KNOWLEDGE: Deep learning framework enables converting SECT to various high-quality parametric maps of DECT.PMID:38597871 | DOI:10.1093/bjr/tqae076 (Source: The British Journal of Radiology)
Source: The British Journal of Radiology - April 10, 2024 Category: Radiology Authors: Sangwook Kim Jimin Lee Jungye Kim Bitbyeol Kim Chang Heon Choi Seongmoon Jung Source Type: research

Conversion of single-energy computed tomography to parametric maps of dual-energy computed tomography using convolutional neural network
CONCLUSIONS: SECT images were directly converted to the three parametric maps of DECT (ie, VMIs, EAN, and RED). By using this model, one can generate the parametric information from SECT images without DECT device. Our model can help investigate the parametric information from SECT retrospectively.ADVANCES IN KNOWLEDGE: Deep learning framework enables converting SECT to various high-quality parametric maps of DECT.PMID:38597871 | DOI:10.1093/bjr/tqae076 (Source: The British Journal of Radiology)
Source: The British Journal of Radiology - April 10, 2024 Category: Radiology Authors: Sangwook Kim Jimin Lee Jungye Kim Bitbyeol Kim Chang Heon Choi Seongmoon Jung Source Type: research

Conversion of single-energy computed tomography to parametric maps of dual-energy computed tomography using convolutional neural network
CONCLUSIONS: SECT images were directly converted to the three parametric maps of DECT (ie, VMIs, EAN, and RED). By using this model, one can generate the parametric information from SECT images without DECT device. Our model can help investigate the parametric information from SECT retrospectively.ADVANCES IN KNOWLEDGE: Deep learning framework enables converting SECT to various high-quality parametric maps of DECT.PMID:38597871 | DOI:10.1093/bjr/tqae076 (Source: The British Journal of Radiology)
Source: The British Journal of Radiology - April 10, 2024 Category: Radiology Authors: Sangwook Kim Jimin Lee Jungye Kim Bitbyeol Kim Chang Heon Choi Seongmoon Jung Source Type: research

Conversion of single-energy computed tomography to parametric maps of dual-energy computed tomography using convolutional neural network
CONCLUSIONS: SECT images were directly converted to the three parametric maps of DECT (ie, VMIs, EAN, and RED). By using this model, one can generate the parametric information from SECT images without DECT device. Our model can help investigate the parametric information from SECT retrospectively.ADVANCES IN KNOWLEDGE: Deep learning framework enables converting SECT to various high-quality parametric maps of DECT.PMID:38597871 | DOI:10.1093/bjr/tqae076 (Source: The British Journal of Radiology)
Source: The British Journal of Radiology - April 10, 2024 Category: Radiology Authors: Sangwook Kim Jimin Lee Jungye Kim Bitbyeol Kim Chang Heon Choi Seongmoon Jung Source Type: research

Safety and efficacy of cryoablation of Soft-Tissue tumors
CONCLUSION: Showing substantial efficacy in pain reduction and lesion volume decrease, as well as low incidence of severe AE, CA presents as a highly effective and safe alternative for the treatment of soft-tissue tumors.ADVANCES IN KNOWLEDGE: CA is effective and safe in treating soft-tissue tumors, particularly DT, VM, and AWE.PMID:38588564 | DOI:10.1093/bjr/tqae075 (Source: The British Journal of Radiology)
Source: The British Journal of Radiology - April 8, 2024 Category: Radiology Authors: Sylvain Bodard Clement Marcelin Adrian Kastler Platon M Dimopoulos Elena N Petre Julien Frandon Leo Razakamanantsoa Francois H Cornelis Source Type: research

Meta-analysis of transjugular intrahepatic portosystemic shunt creation with intravascular ultrasound guidance
CONCLUSION: IVUS guidance during TIPS creation improves procedural metrics including procedural time, contrast usage, and radiation exposure.PMID:38588565 | DOI:10.1093/bjr/tqae074 (Source: The British Journal of Radiology)
Source: The British Journal of Radiology - April 8, 2024 Category: Radiology Authors: Qian Yu Osman Ahmed Subhash Gutti Deepak Iyer Daniel Kwak Syed Samaduddin Ahmed Adam Said J Fritz Angle Rakesh Navuluri Jonathan M Lorenz Mikin Patel Source Type: research

Safety and efficacy of cryoablation of Soft-Tissue tumors
CONCLUSION: Showing substantial efficacy in pain reduction and lesion volume decrease, as well as low incidence of severe AE, CA presents as a highly effective and safe alternative for the treatment of soft-tissue tumors.ADVANCES IN KNOWLEDGE: CA is effective and safe in treating soft-tissue tumors, particularly DT, VM, and AWE.PMID:38588564 | DOI:10.1093/bjr/tqae075 (Source: The British Journal of Radiology)
Source: The British Journal of Radiology - April 8, 2024 Category: Radiology Authors: Sylvain Bodard Clement Marcelin Adrian Kastler Platon M Dimopoulos Elena N Petre Julien Frandon Leo Razakamanantsoa Francois H Cornelis Source Type: research

Meta-analysis of transjugular intrahepatic portosystemic shunt creation with intravascular ultrasound guidance
CONCLUSION: IVUS guidance during TIPS creation improves procedural metrics including procedural time, contrast usage, and radiation exposure.PMID:38588565 | DOI:10.1093/bjr/tqae074 (Source: The British Journal of Radiology)
Source: The British Journal of Radiology - April 8, 2024 Category: Radiology Authors: Qian Yu Osman Ahmed Subhash Gutti Deepak Iyer Daniel Kwak Syed Samaduddin Ahmed Adam Said J Fritz Angle Rakesh Navuluri Jonathan M Lorenz Mikin Patel Source Type: research

MRI classification of uterosacral ligament involvement in endometriosis: the H ôtel-Dieu (HTD) classification
CONCLUSIONS: In women with endometriosis symptoms, our MRI classification identified two USL categories, corresponding to two kinds of PPV; in these symptomatic patients, a normal MRI does not rule out a DIE diagnosis.ADVANCES IN KNOWLEDGE: Our MRI classification of USL involvement in endometriosis may be used as a noninvasive staging of the disease, much clearer for clinicians and patients. Hence, we are able to propose a suitable diagnostic and therapeutic procedure for each radiological type.PMID:38579251 | DOI:10.1093/bjr/tqae072 (Source: The British Journal of Radiology)
Source: The British Journal of Radiology - April 5, 2024 Category: Radiology Authors: Siegfried H élage Lucas Rivi ère Jean-No ël Buy Corinne Bordonn é Fr édéric Préaux Pierre-Alexandre Just Nizar Aflak Pascal Rousset Élisabeth Dion Source Type: research

MRI classification of uterosacral ligament involvement in endometriosis: the H ôtel-Dieu (HTD) classification
CONCLUSIONS: In women with endometriosis symptoms, our MRI classification identified two USL categories, corresponding to two kinds of PPV; in these symptomatic patients, a normal MRI does not rule out a DIE diagnosis.ADVANCES IN KNOWLEDGE: Our MRI classification of USL involvement in endometriosis may be used as a noninvasive staging of the disease, much clearer for clinicians and patients. Hence, we are able to propose a suitable diagnostic and therapeutic procedure for each radiological type.PMID:38579251 | DOI:10.1093/bjr/tqae072 (Source: The British Journal of Radiology)
Source: The British Journal of Radiology - April 5, 2024 Category: Radiology Authors: Siegfried H élage Lucas Rivi ère Jean-No ël Buy Corinne Bordonn é Fr édéric Préaux Pierre-Alexandre Just Nizar Aflak Pascal Rousset Élisabeth Dion Source Type: research

MRI classification of uterosacral ligament involvement in endometriosis: the H ôtel-Dieu (HTD) classification
CONCLUSIONS: In women with endometriosis symptoms, our MRI classification identified two USL categories, corresponding to two kinds of PPV; in these symptomatic patients, a normal MRI does not rule out a DIE diagnosis.ADVANCES IN KNOWLEDGE: Our MRI classification of USL involvement in endometriosis may be used as a noninvasive staging of the disease, much clearer for clinicians and patients. Hence, we are able to propose a suitable diagnostic and therapeutic procedure for each radiological type.PMID:38579251 | DOI:10.1093/bjr/tqae072 (Source: The British Journal of Radiology)
Source: The British Journal of Radiology - April 5, 2024 Category: Radiology Authors: Siegfried H élage Lucas Rivi ère Jean-No ël Buy Corinne Bordonn é Fr édéric Préaux Pierre-Alexandre Just Nizar Aflak Pascal Rousset Élisabeth Dion Source Type: research

How to use MRI in cardiac disease with diastolic dysfunction?
Br J Radiol. 2024 Apr 4:tqae071. doi: 10.1093/bjr/tqae071. Online ahead of print.ABSTRACTLeft ventricular (LV) diastolic dysfunction (DD) is an initially asymptomatic condition that can progress to heart failure, either with preserved or reduced ejection fraction. As such, DD is a growing public health problem. Impaired relaxation, the first stage of DD, is associated with altered LV filling. With progression, reducing LV compliance leads to restrictive cardiomyopathy. While cardiac magnetic resonance (CMR) imaging is the reference for LV systolic function assessment, transthoracic echocardiography (TTE) with Doppler flow ...
Source: The British Journal of Radiology - April 4, 2024 Category: Radiology Authors: Farah Cadour Adrien Cour Jules Senlis Stanislas Rapacchi Hajer Chennoufi Paul Michelin Colin McQuade Matthieu Demeyere Jean-Nicolas Dacher Source Type: research