journal
https://read.qxmd.com/read/38536581/diagnostic-performance-of-ultrasound-in-the-assessment-of-gastric-contents-a-meta-analysis-and-systematic-review
#21
REVIEW
Xuanyuan Pan, Jun Chai, Xin Gao, Si Li, Jie Liu, Linxing Li, Yanjing Li, Zhichao Li
OBJECTIVE: To systematically analyze the accuracy of ultrasonic techniques in assessing the nature of gastric contents and their volume. METHODS: English-language articles that used ultrasonic techniques to assess the nature of gastric contents and their volume in patients were selected. In eligible studies, data were recalculated and analyzed for forest plots and subject summary curves of operating characteristics (SROC). Study quality was assessed using the diagnostic accuracy study quality assessment tool QUADAS-2...
March 27, 2024: Insights Into Imaging
https://read.qxmd.com/read/38536577/can-artificial-intelligence-detect-type-2-diabetes-in-women-by-evaluating-the-pectoral-muscle-on-tomosynthesis-diagnostic-study
#22
JOURNAL ARTICLE
Meltem M Yashar, Ilayda Begum Izci, Fatma Zeynep Gungoren, Abdulkadir A Eren, Ali A Mert, Irmak I Durur-Subasi
OBJECTIVES: This retrospective single-center analysis aimed to evaluate whether artificial intelligence can detect type 2 diabetes mellitus by evaluating the pectoral muscle on digital breast tomosynthesis (DBT). MATERIAL METHOD: An analysis of 11,594 DBT images of 287 consecutive female patients (mean age 60, range 40-77 years) was conducted using convolutional neural networks (EfficientNetB5). The inclusion criterion was left-sided screening images with unsuspicious interpretation who also had a current glycosylated hemoglobin A1c (HBA1c) % value...
March 27, 2024: Insights Into Imaging
https://read.qxmd.com/read/38536542/multiparametric-mri-based-intratumoral-and-peritumoral-radiomics-for-predicting-the-pathological-differentiation-of-hepatocellular-carcinoma
#23
JOURNAL ARTICLE
Hai-Feng Liu, Min Wang, Qing Wang, Yang Lu, Yu-Jie Lu, Ye Sheng, Fei Xing, Ji-Lei Zhang, Sheng-Nan Yu, Wei Xing
PURPOSE: To explore the predictive potential of intratumoral and multiregion peritumoral radiomics features extracted from multiparametric MRI for predicting pathological differentiation in hepatocellular carcinoma (HCC) patients. METHODS: A total of 265 patients with 277 HCCs (training cohort n = 193, validation cohort n = 84) who underwent preoperative MRI were retrospectively analyzed. The risk factors identified through stepwise regression analysis were utilized to construct a clinical model...
March 27, 2024: Insights Into Imaging
https://read.qxmd.com/read/38536535/association-of-lower-extremity-peripheral-arterial-disease-with-quantitative-muscle-features-from-computed-tomography-angiography
#24
JOURNAL ARTICLE
Ge Hu, Yuexin Chen, Chunlin Mu, Xinyue Zhang, Yun Wang, Yining Wang, Huadan Xue, Daming Zhang, Zhengyu Jin
OBJECTIVES: To explore the association between lower extremity muscle features from CTA and peripheral arterial disease (PAD) severity using digital subtraction angiography (DSA) as reference standard. METHODS: Informed consent was waived for this Institutional Review Board approved retrospective study. PAD patients were recruited from July 2016 to September 2020. Two radiologists evaluated PAD severity on DSA and CTA using runoff score. The patients were divided into two groups: mild PAD (DSA score ≤ 7) vs...
March 27, 2024: Insights Into Imaging
https://read.qxmd.com/read/38536530/the-paradox-of-mri-for-breast-cancer-screening-high-risk-and-dense-breasts-available-evidence-and-current-practice
#25
REVIEW
Francesco Sardanelli, Veronica Magni, Gabriele Rossini, Fleur Kilburn-Toppin, Nuala A Healy, Fiona J Gilbert
In the mid-1990s, the identification of BRCA1/2 genes for breast cancer susceptibility led to testing breast MRI accuracy in screening women at increased risk. From 2000 onwards, ten intraindividual comparative studies showed the marked superiority of MRI: the sensitivity ranged 25-58% for mammography, 33-52% for ultrasound, 48-67% for mammography plus ultrasound, and 71-100% for MRI; specificity 93-100%, 91-98%, 89-98%, and 81-98%, respectively. Based on the available evidence, in 2006-2007, the UK National Institute for Clinical Excellence and the American Cancer Society recommended MRI screening of high-risk women, followed by other international guidelines...
March 27, 2024: Insights Into Imaging
https://read.qxmd.com/read/38530554/automatic-segmentation-of-fat-metaplasia-on-sacroiliac-joint-mri-using-deep-learning
#26
JOURNAL ARTICLE
Xin Li, Yi Lin, Zhuoyao Xie, Zixiao Lu, Liwen Song, Qiang Ye, Menghong Wang, Xiao Fang, Yi He, Hao Chen, Yinghua Zhao
OBJECTIVE: To develop a deep learning (DL) model for segmenting fat metaplasia (FM) on sacroiliac joint (SIJ) MRI and further develop a DL model for classifying axial spondyloarthritis (axSpA) and non-axSpA. MATERIALS AND METHODS: This study retrospectively collected 706 patients with FM who underwent SIJ MRI from center 1 (462 axSpA and 186 non-axSpA) and center 2 (37 axSpA and 21 non-axSpA). Patients from center 1 were divided into the training, validation, and internal test sets (n = 455, 64, and 129)...
March 26, 2024: Insights Into Imaging
https://read.qxmd.com/read/38530547/how-young-radiologists-use-contrast-media-and-manage-adverse-reactions-an-international-survey
#27
JOURNAL ARTICLE
Domenico Albano, Carmen Mallardi, Saif Afat, Paulo Moraes Agnollitto, Damiano Caruso, Roberto Cannella, Serena Carriero, Kalina Chupetlovska, Paola Clauser, Tommaso D'Angelo, Domenico De Santis, Marco Dioguardi Burgio, Ivo Dumic-Cule, Salvatore Claudio Fanni, Stefano Fusco, Marco Gatti, Salvatore Gitto, Sonja Jankovic, Tsvetomir Karagechev, Michail E Klontzas, Emmanouil Koltsakis, Doris Leithner, Vid Matišić, Giuseppe Muscogiuri, Ralitsa Penkova, Michela Polici, Francesca Serpi, Carmelo Sofia, Ziga Snoj, Tugba Akinci D'Antonoli, Federica Vernuccio, João Vieira, Ana Catarina Vieira, Mirjam Wielema, Marta Zerunian, Carmelo Messina
OBJECTIVES: To collect real-world data about the knowledge and self-perception of young radiologists concerning the use of contrast media (CM) and the management of adverse drug reactions (ADR). METHODS: A survey (29 questions) was distributed to residents and board-certified radiologists younger than 40 years to investigate the current international situation in young radiology community regarding CM and ADRs. Descriptive statistics analysis was performed...
March 26, 2024: Insights Into Imaging
https://read.qxmd.com/read/38530543/viscoelastic-parameters-derived-from-multifrequency-mr-elastography-for-depicting-hepatic-fibrosis-and-inflammation-in-chronic-viral-hepatitis
#28
JOURNAL ARTICLE
Yikun Wang, Jiahao Zhou, Huimin Lin, Huafeng Wang, Ingolf Sack, Jing Guo, Fuhua Yan, Ruokun Li
OBJECTIVES: The capability of MR elastography (MRE) to differentiate fibrosis and inflammation, and to provide precise diagnoses is crucial, whereas the coexistence of fibrosis and inflammation may obscure the diagnostic accuracy. METHODS: In this retrospective study, from June 2020 to December 2022, chronic viral hepatitis patients who underwent multifrequency MRE (mMRE) were included in, and further divided into, training and validation cohorts. The hepatic viscoelastic parameters [shear wave speed (c) and loss angle (φ) of the complex shear modulus] were obtained from mMRE...
March 26, 2024: Insights Into Imaging
https://read.qxmd.com/read/38530498/predicting-microvascular-invasion-in-small-%C3%A2-%C3%A2-5%C3%A2-cm-hepatocellular-carcinomas-using-radiomics-based-peritumoral-analysis
#29
JOURNAL ARTICLE
Fang Wang, Ming Cheng, Binbin Du, Jing Li, Liming Li, Wenpeng Huang, Jianbo Gao
OBJECTIVE: We assessed the predictive capacity of computed tomography (CT)-enhanced radiomics models in determining microvascular invasion (MVI) for isolated hepatocellular carcinoma (HCC) ≤ 5 cm within peritumoral margins of 5 and 10 mm. METHODS: Radiomics software was used for feature extraction. We used the least absolute shrinkage and selection operator (LASSO) algorithm to establish an effective model to predict patients' preoperative MVI status...
March 26, 2024: Insights Into Imaging
https://read.qxmd.com/read/38530483/radiology-domain-in-the-diagnosis-of-igg4-rd-according-to-the-2019-american-college-of-rheumatology-and-european-league-against-rheumatism-classification
#30
JOURNAL ARTICLE
Khaled Y Elbanna, Jie-Ying Kowa, Nikhil Mirajkar, Korosh Khalili, Tae Kyoung Kim
OBJECTIVES: To evaluate the performance of radiology-related inclusion criteria of the 2019 ACR-EULAR classification system in the diagnosis of IgG4-related disease (IgG4-RD). METHODS: This retrospective single-institution study included patients who received a diagnosis of IgG4-RD between January 2010 and December 2020. Two abdominal radiologists independently reviewed baseline imaging studies and scored radiology findings according to the 2019 ACR-EULAR classification criteria...
March 26, 2024: Insights Into Imaging
https://read.qxmd.com/read/38526620/enhancing-recurrence-risk-prediction-for-bladder-cancer-using-multi-sequence-mri-radiomics
#31
JOURNAL ARTICLE
Guoqiang Yang, Jingjing Bai, Min Hao, Lu Zhang, Zhichang Fan, Xiaochun Wang
OBJECTIVE: We aimed to develop a radiomics-clinical nomogram using multi-sequence MRI to predict recurrence-free survival (RFS) in bladder cancer (BCa) patients and assess its superiority over clinical models. METHODS: A retrospective cohort of 229 BCa patients with preoperative multi-sequence MRI was divided into a training set (n = 160) and a validation set (n = 69). Radiomics features were extracted from T2-weighted images, diffusion-weighted imaging, apparent diffusion coefficient, and dynamic contrast-enhanced images...
March 25, 2024: Insights Into Imaging
https://read.qxmd.com/read/38526611/correction-endometriosis-mr-mimickers-t2-hypointense-lesions
#32
Edouard Ruaux, Wendaline M VanBuren, Stéphanie Nougaret, Marie Gavrel, Mathilde Charlot, Flavia Grangeon, Pierre-Adrien Bolze, Isabelle Thomassin-Naggara, Pascal Rousset
No abstract text is available yet for this article.
March 25, 2024: Insights Into Imaging
https://read.qxmd.com/read/38523209/predicting-three-or-more-metastatic-nodes-using-contrast-enhanced-lymphatic-us-findings-in-early-breast-cancer
#33
JOURNAL ARTICLE
Zihan Niu, Yunxia Hao, Yuanjing Gao, Jing Zhang, Mengsu Xiao, Feng Mao, Yidong Zhou, Ligang Cui, Yuxin Jiang, Qingli Zhu
OBJECTIVES: To develop and validate a nomogram for predicting ≥ 3 metastatic axillary lymph nodes (ALNs) in early breast cancer with no palpable axillary adenopathy by clinicopathologic data, contrast-enhanced (CE) lymphatic ultrasound (US), and grayscale findings of sentinel lymph nodes (SLNs). MATERIALS AND METHODS: Women with T1-2N0 invasive breast cancer were consecutively recruited for the CE lymphatic US. Patients from Center 1 were grouped into development and internal validation cohorts at a ratio of 2:1...
March 25, 2024: Insights Into Imaging
https://read.qxmd.com/read/38523188/ct-based-radiomics-combined-with-hematologic-parameters-for-survival-prediction-in-locally-advanced-esophageal-cancer-patients-receiving-definitive-chemoradiotherapy
#34
JOURNAL ARTICLE
Jinfeng Cui, Dexian Zhang, Yongsheng Gao, Jinghao Duan, Lulu Wang, Li Li, Shuanghu Yuan
OBJECTIVES: The purpose of this study was to investigate the prognostic significance of radiomics in conjunction with hematological parameters in relation to the overall survival (OS) of individuals diagnosed with esophageal squamous cell carcinoma (ESCC) following definitive chemoradiotherapy (dCRT). METHODS: In this retrospective analysis, a total of 122 patients with locally advanced ESCC were included. These patients were randomly assigned to either the training cohort (n = 85) or the validation cohort (n = 37)...
March 25, 2024: Insights Into Imaging
https://read.qxmd.com/read/38517664/diagnostic-prediction-of-gastrointestinal-graft-versus-host-disease-based-on-a-clinical-ct-signs-nomogram-model
#35
JOURNAL ARTICLE
Qing Feng, Fengming Xu, Kaiming Guan, Tao Li, Jing Sheng, Wei Zhong, Haohua Wu, Bing Li, Peng Peng
OBJECTIVE: Gastrointestinal graft-versus-host disease (GI-GVHD) is one of the complications that can easily occur after hematopoietic stem cell transplantation (HSCT). Timely diagnosis and treatment are pivotal factors that greatly influence the prognosis of patients. However, the current diagnostic method lacks adequate non-invasive diagnostic tools. METHODS: A total of 190 patients who suspected GI-GVHD were retrospectively included and divided into training set (n = 114) and testing set (n = 76) according to their discharge time...
March 22, 2024: Insights Into Imaging
https://read.qxmd.com/read/38517657/a-comparative-study-assessing-the-efficacy-and-safety-of-radiofrequency-ablation-versus-surgical-treatment-for-osteoid-osteoma-retrospective-analysis-in-a-single-institution
#36
JOURNAL ARTICLE
Jasminka Igrec, Maria Anna Smolle, Michael Meszarics, Theresa Marie Godschachner, Jakob Steiner, Mira Feichtinger, Emina Talakic, Rupert Horst Portugaller, Andreas Leithner, Michael Fuchsjäger, Iva Brcic
OBJECTIVE: We aim to evaluate the efficacy of CT-guided percutaneous radiofrequency ablation (RFA) and surgical treatment in osteoid osteoma (OO) treated at the Medical University of Graz. MATERIALS AND METHODS: In a single-institution study, we analysed data from January 2005 to January 2021 of patients with histological/radiological diagnosis of OO. CT and MRI scans were reviewed for typical findings. Means (with SD) and medians (with IQR) were reported for normally and non-normally distributed variables...
March 22, 2024: Insights Into Imaging
https://read.qxmd.com/read/38517610/deep-learning-based-3d-cerebrovascular-segmentation-workflow-on-bright-and-black-blood-sequences-magnetic-resonance-angiography
#37
JOURNAL ARTICLE
Langtao Zhou, Huiting Wu, Guanghua Luo, Hong Zhou
BACKGROUND: Cerebrovascular diseases have emerged as significant threats to human life and health. Effectively segmenting brain blood vessels has become a crucial scientific challenge. We aimed to develop a fully automated deep learning workflow that achieves accurate 3D segmentation of cerebral blood vessels by incorporating classic convolutional neural networks (CNNs) and transformer models. METHODS: We used a public cerebrovascular segmentation dataset (CSD) containing 45 volumes of 1...
March 22, 2024: Insights Into Imaging
https://read.qxmd.com/read/38517607/waste-analysis-and-energy-use-estimation-during-mr-hifu-treatment-first-steps-towards-calculating-total-environmental-impact
#38
JOURNAL ARTICLE
Kimberley J Anneveldt, Ingrid M Nijholt, Joke M Schutte, Wouter J K Hehenkamp, Sebastiaan Veersema, Judith A F Huirne, Martijn F Boomsma
OBJECTIVES: To assess the environmental impact of the non-invasive Magnetic Resonance image-guided High-Intensity Focused Ultrasound (MR-HIFU) treatment of uterine fibroids, we aimed to perform a full Life Cycle Assessment (LCA). However, as a full LCA was not feasible at this time, we evaluated the CO2 (carbon dioxide) emission from the MRI scanner, MR-HIFU device, and the medication used, and analyzed solid waste produced during treatment. METHODS: Our functional unit was one uterine fibroid MR-HIFU treatment...
March 22, 2024: Insights Into Imaging
https://read.qxmd.com/read/38517577/evaluation-of-endometrial-receptivity-in-women-with-unexplained-infertility-by-shear-wave-elastography
#39
JOURNAL ARTICLE
Zheng-Ying Li, Lu Cai, Zhi-Jun Zhang, Hai-Rong Zou, Mei He, Mei-Lin Qin, Hui Wang
OBJECTIVES: The endometrium of most unexplained infertility (UI) patients has been altered histologically. Shear wave elastography (SWE) is utilized to assess the signature of living tissue. This study aimed to explore the value of SWE in evaluating endometrial receptivity (ER) in UI patients. METHODS: In total, 59 UI patients (UI group) and 52 normal control women (NC group) who received fertility consultation in our hospital were included between January 2022 and June 2023...
March 22, 2024: Insights Into Imaging
https://read.qxmd.com/read/38502298/a-novel-reporting-workflow-for-automated-integration-of-artificial-intelligence-results-into-structured-radiology-reports
#40
JOURNAL ARTICLE
Tobias Jorg, Moritz C Halfmann, Fabian Stoehr, Gordon Arnhold, Annabell Theobald, Peter Mildenberger, Lukas Müller
OBJECTIVES: Artificial intelligence (AI) has tremendous potential to help radiologists in daily clinical routine. However, a seamless, standardized, and time-efficient way of integrating AI into the radiology workflow is often lacking. This constrains the full potential of this technology. To address this, we developed a new reporting pipeline that enables automated pre-population of structured reports with results provided by AI tools. METHODS: Findings from a commercially available AI tool for chest X-ray pathology detection were sent to an IHE-MRRT-compliant structured reporting (SR) platform as DICOM SR elements and used to automatically pre-populate a chest X-ray SR template...
March 19, 2024: Insights Into Imaging
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