Classification of Breast Edema on T2-weighted imaging for predicting sentinel lymph node metastasis and biological behavior in breast cancer
To determine whether preoperative classification of breast edema on T2-weighted imaging (T2WI) is useful for predicting sentinel lymph node (SLN) metastasis and biological behavior in patients with early-stage breast cancer. (Source: Clinical Radiology)
Source: Clinical Radiology - April 27, 2024 Category: Radiology Authors: Shijia Xie, Wenjuan Tang, Chao Zhang, Juan Wang, Minhong Wang, Yunfeng Zhou Source Type: research
The impact of sedation on the quality of initial skeletal surveys performed for suspected physical abuse in children: a comparative two-centre audit
The impact of sedation on the quality of initial skeletal surveys performed for suspected physical abuse in children is not known. (Source: Clinical Radiology)
Source: Clinical Radiology - April 24, 2024 Category: Radiology Authors: Michael Paddock, Paige C. Johnson, Angela Staley, Katharine Halliday, Amaka C. Offiah Source Type: research
Radiomic nomogram based on bi-parametric MRI to predict the International Society of Urological Pathology (ISUP) grading ≥ 3 prostate cancer: a multicenter study
To create a reliable radiomic nomogram for the prediction of the International Society of Urological Pathology (ISUP) grading ≥ 3 PCa patients. (Source: Clinical Radiology)
Source: Clinical Radiology - April 23, 2024 Category: Radiology Authors: Yongsheng Zhang, Zhiping Li, Chen Gao, Liqing Zhang, Yasheng Huang, Hua Qu, Chang Shu, Yuguo Wei, Maosheng Xu, Feng Cui Source Type: research
Prognostic value of serial Coronary Computed Tomography Angiography-derived Perivascular Fat Attenuation Index and Plaque volume in patients with suspected coronary artery disease
To investigate the prognostic value of serial coronary computed tomography angiography (CCTA) derived plaque information, fractional flow reserve (CT-FFR), and perivascular fat attenuation index (FAI) on major adverse cardiac events (MACE) in patients with suspected coronary artery disease. (Source: Clinical Radiology)
Source: Clinical Radiology - April 20, 2024 Category: Radiology Authors: Xinjie Sun, Yaru Zhu, Ninggui Zhang, Kangzheng Yuan, Jun Ling, Jing Ye Source Type: research
Artificial intelligence diagnostic accuracy in fracture detection from plain radiographs and comparing it with clinicians: A systematic review and meta-analysis
Fracture detection is one of the most commonly used and studied aspects of artificial intelligence (AI) in medicine. In this systematic review and meta-analysis, we aimed to summarize available literature and data regarding AI performance in fracture detection on plain radiographs and various factors affecting it. (Source: Clinical Radiology)
Source: Clinical Radiology - April 20, 2024 Category: Radiology Authors: Ali Nowroozi, Mohammad Amin Salehi, Parnian Shobeiri, Sadaf Agahi, Sara Momtazmanesh, Parisa Kaviani, Mannudeep K. Kalra Source Type: research
Clinical Value of Deep Learning Image Reconstruction on the Diagnosis of Pulmonary Nodule for Ultra-low-dose Chest CT Imaging
Lung cancer is the most common malignant tumor worldwide.1 A significant number of individuals diagnosed with lung cancer face a poor prognosis due to advanced-stage detection, rendering surgery an unsuitable treatment option. Early detection of lung cancer has a very good chance of being cured, so early lung cancer screening is very important. (Source: Clinical Radiology)
Source: Clinical Radiology - April 20, 2024 Category: Radiology Authors: Zhijuan Zheng, Zhu Ai, Yuying Liang, Yaoguo Li, Zhehao Wu, Minyi Wu, Qijia Han, Kun Ma, Zhiming Xiang Source Type: research
Nomogram based on MRI and clinical features to predict progression-free survival in patients with stage IIIC1r cervical squamous cell carcinoma ：A two-center study
To develop a nomogram based on MRI and clinical features to predict progression-free survival (PFS) of 2018 FIGO stage ⅢC1r cervical squamous cell carcinoma (CSCC). (Source: Clinical Radiology)
Source: Clinical Radiology - April 20, 2024 Category: Radiology Authors: Wei-xiao Luo, Xue-mei Ding, Jin-mei Cheng, Xia Liu, Hai-ying Zhou Source Type: research
Doug Altman, medical statistician par excellence. What can radiologists learn from his legacy?
We describe how his insights helped improve our own radiological research studies and we provide advice for other researchers hoping to improve their own research practice. (Source: Clinical Radiology)
Source: Clinical Radiology - April 17, 2024 Category: Radiology Authors: Steve Halligan, Darren Boone, David Burling, Emma Helbren, Sue Mallett, Andrew Plumb Source Type: research
COVID-19 lung disease is a pulmonary vasculopathy
(Source: Clinical Radiology)
Source: Clinical Radiology - April 12, 2024 Category: Radiology Authors: Graham Lloyd-Jones, Rob Alcock, Matthijs Oudkirk Source Type: research
Texture analysis using Non-contrast MRI to predict estrogen receptor status in breast cancer lesions; is it feasible?
We aimed to evaluate the feasibility of non-contrast enhanced T1 sequence in texture analysis of breast cancer lesions to predict their estrogen receptor status. (Source: Clinical Radiology)
Source: Clinical Radiology - April 12, 2024 Category: Radiology Authors: Farah A. Shokeir, Ali H. Elmokadem, Nermin Soliman, Ashraf Khater, Dalia Bayoumi Source Type: research
Trans-radial cerebral angiography for stereotactic radiosurgery treatment of arteriovenous malformations
This study aimed to evaluate discharge outcomes and patient opinion of TRA compared to TFA in patients undergoing cerebral angiography prior to stereotactic radiosurgery (SRS) treatment for cerebral arteriovenous malformations. (Source: Clinical Radiology)
Source: Clinical Radiology - April 12, 2024 Category: Radiology Authors: Saminderjit Kular, Ahmed Maiter, Andrew Martin, Richard Dyde, Waterworth Alan, WR Radatz Matthias, Julian Cahill, George H Tse Source Type: research
Diagnostic performance of chest CT average intensity projection (AIP) reconstruction for the assessment of pleuro-parenchymal abnormalities
The comparison between chest x-ray (CXR) and computed tomography (CT) images is commonly required in clinical practice to assess the evolution of chest pathological manifestations. Intrinsic differences between the two techniques, however, limit reader confidence in such a comparison. CT Average Intensity Projection (AIP) reconstruction allows to obtain “synthetic” CXR (s-CXR) images, which are thought to have the potential to increase the accuracy of comparison between CXR and CT imaging. We aim at assessing the diagnostic performance of s-CXR imaging in detecting common pleuro-parenchymal abnormalities. (Source: Clinical Radiology)
Source: Clinical Radiology - April 12, 2024 Category: Radiology Authors: Roberta Eufrasia Ledda, Silvia Schir ò, Ludovica Leo, Gianluca Milanese, Cristina Branchi, Claudia Commisso, Eugenia Borgia, Rebecca Mura, Carlotta Zilioli, Nicola Sverzellati Source Type: research
**** commentary: FIGO staging of endometrial cancer 2023 update - implications for imaging
The FIGO staging of endometrial cancer (EC) was updated in 2023. This includes updated anatomical information about the tumour (including classifying myometrial invasion into none, superficial and deep and the concept of subserosal invasion) and incorporates histological and molecular features of the tumour into the staging system.This update will profoundly change assessment and management of EC, with a welcome move to personalised care and targeted treatment according to tumour type and prognosis. (Source: Clinical Radiology)
Source: Clinical Radiology - April 12, 2024 Category: Radiology Authors: Rebecca Wiles, Faye Cuthbert, Maryna Brochwicz-Lewinski, Nishat Bharwani Source Type: research
Re: Letter to the Editor: What are the legal and ethical considerations of submitting radiology reports to ChatGPT?.
(Source: Clinical Radiology)
Source: Clinical Radiology - April 10, 2024 Category: Radiology Authors: Infante Amato, Gaudino S Source Type: research
Letter to the Editor: What are the legal and ethical considerations of submitting radiology reports to ChatGPT?
(Source: Clinical Radiology)
Source: Clinical Radiology - April 9, 2024 Category: Radiology Authors: Siddharth Agarwal, David Wood, Robin Carpenter, Yiran Wei, Marc Modat, Thomas C. Booth Source Type: research
