Imaging in the era of risk-adapted treatment in Colon cancer
Br J Radiol. 2024 Apr 22:tqae061. doi: 10.1093/bjr/tqae061. Online ahead of print.ABSTRACTThe treatment landscape for patients with colon cancer is continuously evolving. Risk-adapted treatment strategies, including neoadjuvant chemotherapy and immunotherapy, are slowly finding their way into clinical practice and guidelines. Radiologists are pivotal in guiding clinicians toward the most optimal treatment for each colon cancer patient. This review provides an overview of recent and upcoming advances in the diagnostic management of colon cancer and the radiologist's role in the multidisciplinary approach to treating colon c...
Source: The British Journal of Radiology - April 22, 2024 Category: Radiology Authors: Max J Lahaye Doenja M J Lambregts Arend G J Aalbers Petur Snaebjornsson R G H Beets-Tan Niels F M Kok Source Type: research
Feasibility of a portable respiratory training system with a gyroscope sensor
CONCLUSIONS: Respiratory waveforms acquired by the GRTS exhibit good agreement with waveforms acquired by the RGSC. Respiratory training with the GRTS reduces inter-patient variability in respiratory waveforms, thereby improving the success of expiratory breath-hold liver stereotactic body radiation therapy.ADVANCES IN KNOWLEDGE: A respiratory training system with a gyroscope sensor is inexpensive and portabl, making it ideal for respiratory training. This is the first report concerning clinical implementation of a respiratory training system.PMID:38648776 | DOI:10.1093/bjr/tqae085 (Source: The British Journal of Radiology)
Source: The British Journal of Radiology - April 22, 2024 Category: Radiology Authors: Yuya Nitta Yoshihiro Ueda Shingo Ohira Masaru Isono Asako Hirose Shoki Inui Seiya Murata Hikari Minami Tomohiro Sagawa Yukari Nagayasu Masayoshi Miyazaki Koji Konishi Source Type: research
Minimum library size determination for RapidPlan knowledge based planning system using multicriteria optimization
CONCLUSION: Dosimetric variation among various output plans generated from five RapidPlan libraries is minimal and clinically insignificant. The optimal output plan can be derived from the least weighted library consisting of 20 plans.ADVANCES IN KNOWLEDGE: This article shows that, when the constituent plans are subjected to trade-off exploration, the number of constituent plans for a knowledge-based planning module is not relevant in terms of its dosimetric output.PMID:38637944 | DOI:10.1093/bjr/tqae084 (Source: The British Journal of Radiology)
Source: The British Journal of Radiology - April 19, 2024 Category: Radiology Authors: Subhra S Biswal Biplab Sarkar Monika Goyal Source Type: research
Association between repeat imaging and readmission in patients with acute ischemic stroke: a 16-year nationwide population-based study
CONCLUSIONS: Repeat brain imaging of patients with stroke has increased in recent years, and it is associated with certain factors including age, length of stay, use of rt-PA, hospital level of care, and NIHSS score. It is also associated with increased readmission.ADVANCES IN KNOWLEDGE: Knowledge of the associations of repeat imaging may help clinicians use repeat imaging more carefully and efficaciously.PMID:38640490 | DOI:10.1093/bjr/tqae082 (Source: The British Journal of Radiology)
Source: The British Journal of Radiology - April 19, 2024 Category: Radiology Authors: Han-Hsuan Liang Hung-Yi Liu Russell Oliver Kosik Wing P Chan Li-Nien Chien Source Type: research
Correction to: The dosimetric parameters impact on local recurrence in stereotactic radiotherapy for brain metastases
Br J Radiol. 2024 Apr 17:tqae073. doi: 10.1093/bjr/tqae073. Online ahead of print.NO ABSTRACTPMID:38632075 | DOI:10.1093/bjr/tqae073 (Source: The British Journal of Radiology)
Source: The British Journal of Radiology - April 17, 2024 Category: Radiology Source Type: research
Correction to: The dosimetric parameters impact on local recurrence in stereotactic radiotherapy for brain metastases
Br J Radiol. 2024 Apr 17:tqae073. doi: 10.1093/bjr/tqae073. Online ahead of print.NO ABSTRACTPMID:38632075 | DOI:10.1093/bjr/tqae073 (Source: The British Journal of Radiology)
Source: The British Journal of Radiology - April 17, 2024 Category: Radiology Source Type: research
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
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
