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False-negative factors of percutaneous transluminal clamp biopsy for suspected malignant biliary stricture: 194 cases analyzed from a single center Insights Imaging (IF 4.7) Pub Date : 2024-04-12 Chengzhi Zhang, Yipu Li, Mengyao Song, Zhanguo Sun, Xinwei Han, Jianzhuang Ren, Dechao Jiao
To study the predictive factors of false negatives in the diagnosis of biliary stricture (BS) by percutaneous transluminal clamp biopsy (PTCB). From January 2016 to January 2021, 194 patients with a high suspicion of malignant tumors due to BS underwent PTCB during biliary drainage at our department. The final diagnosis was confirmed by postoperative pathology, other tissue or cell evidence, or medical
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O-RADS MRI scoring system: key points for correct application in inexperienced hands Insights Imaging (IF 4.7) Pub Date : 2024-04-12 Lledó Cabedo, Carmen Sebastià, Meritxell Munmany, Pere Fusté, Lydia Gaba, Adela Saco, Adela Rodriguez, Blanca Paño, Carlos Nicolau
To evaluate the efficacy of the O-RADS MRI criteria in the stratification of risk of malignancy of solid or sonographically indeterminate ovarian masses and assess the interobserver agreement of this classification between experienced and inexperienced radiologists. This single-centre retrospective study included patients from 2019 to 2022 with sonographically indeterminate or solid ovarian masses
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Predicting cytogenetic risk in multiple myeloma using conventional whole-body MRI, spinal dynamic contrast-enhanced MRI, and spinal diffusion-weighted imaging Insights Imaging (IF 4.7) Pub Date : 2024-04-10 Thomas Van Den Berghe, Bert Verberckmoes, Nicolas Kint, Steven Wallaert, Nicolas De Vos, Chloé Algoet, Maxim Behaeghe, Julie Dutoit, Nadine Van Roy, Philip Vlummens, Amélie Dendooven, Jo Van Dorpe, Fritz Offner, Koenraad Verstraete
Cytogenetic abnormalities are predictors of poor prognosis in multiple myeloma (MM). This paper aims to build and validate a multiparametric conventional and functional whole-body MRI-based prediction model for cytogenetic risk classification in newly diagnosed MM. Patients with newly diagnosed MM who underwent multiparametric conventional whole-body MRI, spinal dynamic contrast-enhanced (DCE-)MRI
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Geospatial evaluation of radiologic access in Rwanda Insights Imaging (IF 4.7) Pub Date : 2024-04-08 Rui Han Liu, Michael Lindeborg, Isaie Ncogoza, Sabine E. Nyiraneza, Keisha J. Barrera, David A. Shaye
Rwanda has aimed to rebuild its health care system since the Rwandan genocide against the Tutsis in 1994, though one of the challenges has been a scarcity of radiologic resources. To assess the location and accessibility of radiologic facilities in Rwanda using geospatial mapping and population-based data. A cross-sectional study was conducted in May 2023 using location and radiologic modality data
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Reliability, costs, and radiation dose of dual-energy X-ray absorptiometry in diagnosis of radiologic sarcopenia in surgically menopausal women Insights Imaging (IF 4.7) Pub Date : 2024-04-08 Annechien Stuursma, Iris A. S. Stroot, Karin M. Vermeulen, Riemer H. J. A. Slart, Marcel J. W. Greuter, Marian J. E. Mourits, Geertruida H. de Bock
The aim of this study was to evaluate and compare reliability, costs, and radiation dose of dual-energy X-ray absorptiometry (DXA) to MRI and CT in measuring muscle mass for the diagnosis of sarcopenia. Thirty-four consecutive DXA scans performed in surgically menopausal women from November 2019 until March 2020 were analyzed by two observers. Observers analyzed muscle mass of the lower limbs in every
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Study of the mandibular canal and its surrounding canals by multi-view cone-beam computed tomography Insights Imaging (IF 4.7) Pub Date : 2024-04-08 Yingqi Chen, Qianting Liao, Yuexia Wu, Rui He, Nanxiang Zhang, Yanfen Liao, Keqian Lian
To determine the mandibular anatomical structures by observing cone-beam computed tomography (CBCT) from multiple angles. This retrospective study analyzed 1593 consecutive CBCT images. Ultimately, 95 CBCTs met the inclusion criteria. The mandibular, inferior lingual, and bony canals at the tooth apex were studied by multi-angle observation CBCT. Descriptive statistics were used for statistical analysis
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Impact of CT-determined low kidney volume on renal function decline: a propensity score-matched analysis Insights Imaging (IF 4.7) Pub Date : 2024-04-05 Tomohiro Kikuchi, Shouhei Hanaoka, Takahiro Nakao, Yukihiro Nomura, Harushi Mori, Takeharu Yoshikawa
To investigate the relationship between low kidney volume and subsequent estimated glomerular filtration rate (eGFR) decline in eGFR category G2 (60–89 mL/min/1.73 m2) population. In this retrospective study, we evaluated 5531 individuals with eGFR category G2 who underwent medical checkups at our institution between November 2006 and October 2017. Exclusion criteria were absent for follow-up visit
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The value of machine learning based on CT radiomics in the preoperative identification of peripheral nerve invasion in colorectal cancer: a two-center study Insights Imaging (IF 4.7) Pub Date : 2024-04-05 Nian-jun Liu, Mao-sen Liu, Wei Tian, Ya-nan Zhai, Wei-long Lv, Tong Wang, Shun-Lin Guo
We aimed to explore the application value of various machine learning (ML) algorithms based on multicenter CT radiomics in identifying peripheral nerve invasion (PNI) of colorectal cancer (CRC). A total of 268 patients with colorectal cancer who underwent CT examination in two hospitals from January 2016 to December 2022 were considered. Imaging and clinicopathological data were collected through the
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AI analytics can be used as imaging biomarkers for predicting invasive upgrade of ductal carcinoma in situ Insights Imaging (IF 4.7) Pub Date : 2024-04-05 Jiyoung Yoon, Juyeon Yang, Hye Sun Lee, Min Jung Kim, Vivian Youngjean Park, Miribi Rho, Jung Hyun Yoon
To evaluate whether the quantitative abnormality scores provided by artificial intelligence (AI)-based computer-aided detection/diagnosis (CAD) for mammography interpretation can be used to predict invasive upgrade in ductal carcinoma in situ (DCIS) diagnosed on percutaneous biopsy. Four hundred forty DCIS in 420 women (mean age, 52.8 years) diagnosed via percutaneous biopsy from January 2015 to December
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Can artificial intelligence detect type 2 diabetes in women by evaluating the pectoral muscle on tomosynthesis: diagnostic study Insights Imaging (IF 4.7) Pub Date : 2024-03-27 Meltem M. Yashar, Ilayda Begum Izci, Fatma Zeynep Gungoren, Abdulkadir A. Eren, Ali A. Mert, Irmak I. Durur-Subasi
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). 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
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Diagnostic performance of ultrasound in the assessment of gastric contents: a meta-analysis and systematic review Insights Imaging (IF 4.7) Pub Date : 2024-03-27 Xuanyuan Pan, Jun Chai, Xin Gao, Si Li, Jie Liu, Linxing Li, Yanjing Li, Zhichao Li
To systematically analyze the accuracy of ultrasonic techniques in assessing the nature of gastric contents and their volume. 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)
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Multiparametric MRI-based intratumoral and peritumoral radiomics for predicting the pathological differentiation of hepatocellular carcinoma Insights Imaging (IF 4.7) Pub Date : 2024-03-27 Hai-Feng Liu, Min Wang, Qing Wang, Yang Lu, Yu-Jie Lu, Ye Sheng, Fei Xing, Ji-Lei Zhang, Sheng-Nan Yu, Wei Xing
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. 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
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The paradox of MRI for breast cancer screening: high-risk and dense breasts—available evidence and current practice Insights Imaging (IF 4.7) Pub Date : 2024-03-27 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%
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Association of lower extremity peripheral arterial disease with quantitative muscle features from computed tomography angiography Insights Imaging (IF 4.7) Pub Date : 2024-03-27 Ge Hu, Yuexin Chen, Chunlin Mu, Xinyue Zhang, Yun Wang, Yining Wang, Huadan Xue, Daming Zhang, Zhengyu Jin
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. 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
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Radiology domain in the diagnosis of IgG4-RD according to the 2019 American College of Rheumatology and European League Against Rheumatism classification Insights Imaging (IF 4.7) Pub Date : 2024-03-26 Khaled Y. Elbanna, Jie-Ying Kowa, Nikhil Mirajkar, Korosh Khalili, Tae Kyoung Kim
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). 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
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Automatic segmentation of fat metaplasia on sacroiliac joint MRI using deep learning Insights Imaging (IF 4.7) Pub Date : 2024-03-26 Xin Li, Yi Lin, Zhuoyao Xie, Zixiao Lu, Liwen Song, Qiang Ye, Menghong Wang, Xiao Fang, Yi He, Hao Chen, Yinghua Zhao
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. 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
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How young radiologists use contrast media and manage adverse reactions: an international survey Insights Imaging (IF 4.7) Pub Date : 2024-03-26 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,
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). 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
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Viscoelastic parameters derived from multifrequency MR elastography for depicting hepatic fibrosis and inflammation in chronic viral hepatitis Insights Imaging (IF 4.7) Pub Date : 2024-03-26 Yikun Wang, Jiahao Zhou, Huimin Lin, Huafeng Wang, Ingolf Sack, Jing Guo, Fuhua Yan, Ruokun Li
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. 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
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Predicting microvascular invasion in small (≤ 5 cm) hepatocellular carcinomas using radiomics-based peritumoral analysis Insights Imaging (IF 4.7) Pub Date : 2024-03-26 Fang Wang, Ming Cheng, Binbin Du, Jing Li, Liming Li, Wenpeng Huang, Jianbo Gao
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. 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
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Correction: Endometriosis MR mimickers: T2-hypointense lesions Insights Imaging (IF 4.7) Pub Date : 2024-03-25 Edouard Ruaux, Wendaline M. VanBuren, Stéphanie Nougaret, Marie Gavrel, Mathilde Charlot, Flavia Grangeon, Pierre-Adrien Bolze, Isabelle Thomassin-Naggara, Pascal Rousset
Correction: Insights into Imaging 15, 20 (2024) https://doi.org/10.1186/s13244-023-01588-2 The original article [1] contained a minor typo in the graphical abstract which has since been amended. Ruaux E, VanBuren WM, Nougaret S et al (2024) Endometriosis MR mimickers: T2-hypointense lesions. Insights Imaging 15:20. https://doi.org/10.1186/s13244-023-01588-2 Article PubMed PubMed Central Google Scholar
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Enhancing recurrence risk prediction for bladder cancer using multi-sequence MRI radiomics Insights Imaging (IF 4.7) Pub Date : 2024-03-25 Guoqiang Yang, Jingjing Bai, Min Hao, Lu Zhang, Zhichang Fan, Xiaochun Wang
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. 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
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CT-based radiomics combined with hematologic parameters for survival prediction in locally advanced esophageal cancer patients receiving definitive chemoradiotherapy Insights Imaging (IF 4.7) Pub Date : 2024-03-25 Jinfeng Cui, Dexian Zhang, Yongsheng Gao, Jinghao Duan, Lulu Wang, Li Li, Shuanghu Yuan
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). In this retrospective analysis, a total of 122 patients with locally advanced ESCC were included. These patients
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Predicting three or more metastatic nodes using contrast-enhanced lymphatic US findings in early breast cancer Insights Imaging (IF 4.7) Pub Date : 2024-03-25 Zihan Niu, Yunxia Hao, Yuanjing Gao, Jing Zhang, Mengsu Xiao, Feng Mao, Yidong Zhou, Ligang Cui, Yuxin Jiang, Qingli Zhu
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). Women with T1-2N0 invasive breast cancer were consecutively recruited for the CE lymphatic US. Patients from Center
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Evaluation of endometrial receptivity in women with unexplained infertility by shear wave elastography Insights Imaging (IF 4.7) Pub Date : 2024-03-22 Zheng-ying Li, Lu Cai, Zhi-jun Zhang, Hai-rong Zou, Mei He, Mei-lin Qin, Hui Wang
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. In total, 59 UI patients (UI group) and 52 normal control women (NC group) who received fertility consultation in our
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Diagnostic prediction of gastrointestinal graft-versus-host disease based on a clinical- CT- signs nomogram model Insights Imaging (IF 4.7) Pub Date : 2024-03-22 Qing Feng, Fengming Xu, Kaiming Guan, Tao Li, Jing Sheng, Wei Zhong, Haohua Wu, Bing Li, Peng Peng
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. A total of 190 patients who suspected GI-GVHD were retrospectively
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Waste analysis and energy use estimation during MR-HIFU treatment: first steps towards calculating total environmental impact Insights Imaging (IF 4.7) Pub Date : 2024-03-22 Kimberley J. Anneveldt, Ingrid M. Nijholt, Joke M. Schutte, Wouter J. K. Hehenkamp, Sebastiaan Veersema, Judith A. F. Huirne, Martijn F. Boomsma
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
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A comparative study assessing the efficacy and safety of radiofrequency ablation versus surgical treatment for osteoid osteoma: retrospective analysis in a single institution Insights Imaging (IF 4.7) Pub Date : 2024-03-22 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
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. 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
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Deep learning-based 3D cerebrovascular segmentation workflow on bright and black blood sequences magnetic resonance angiography Insights Imaging (IF 4.7) Pub Date : 2024-03-22 Langtao Zhou, Huiting Wu, Guanghua Luo, Hong Zhou
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. We used a public
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A novel reporting workflow for automated integration of artificial intelligence results into structured radiology reports Insights Imaging (IF 4.7) Pub Date : 2024-03-19 Tobias Jorg, Moritz C. Halfmann, Fabian Stoehr, Gordon Arnhold, Annabell Theobald, Peter Mildenberger, Lukas Müller
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
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PI-RADS v2.1 evaluation of prostate “nodule in nodule” variants: clinical, imaging, and pathological features Insights Imaging (IF 4.7) Pub Date : 2024-03-18 MingHua Sun, Li Xu, XiaoYan Zhang, LiYu Cao, WenBao Chen, Kai Liu, Hao Wu, DongDong Xie
To analyze the correlation among the imaging features of prostate “nodule in nodule,” clinical prostate indices, and pathology results. We retrospectively analyzed the prostate images from 47 male patients who underwent MRI scans and pathological biopsy from January 2022 to July 2023. Two radiologists (R1/R2) evaluated the morphology and signal intensity of the “nodule in nodule” in a double-blind
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The differences between carotid web and carotid web with plaque: based on multimodal ultrasonic and clinical characteristics Insights Imaging (IF 4.7) Pub Date : 2024-03-18 Chao Hou, Shuo Li, Lei Zhang, Wei Zhang, Wen He
This study aimed to examine the clinical and multimodal ultrasonic characteristics differences between carotid web (CW) and CW with plaque as well as the potential risk factors for stroke caused by CW. We retrospectively enrolled patients diagnosed with CW by CTA or high-resolution MRI (HRMRI) and simultaneously underwent contrast enhanced ultrasound (CEUS) and superb microvascular imaging examinations
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Just give the contrast? Appraisal of guidelines on intravenous iodinated contrast media use in patients with kidney disease Insights Imaging (IF 4.7) Pub Date : 2024-03-18 Jingyu Zhong, Liwei Chen, Yue Xing, Junjie Lu, Yuping Shi, Yibin Wang, Yi Deng, Run Jiang, Wenjie Lu, Silian Wang, Yangfan Hu, Xiang Ge, Defang Ding, Huan Zhang, Ying Zhu, Weiwu Yao
To appraise the quality of guidelines on intravenous iodinated contrast media (ICM) use in patients with kidney disease, and to compare the recommendations among them. We searched four literature databases, eight guideline libraries, and ten homepages of radiological societies to identify English and Chinese guidelines on intravenous ICM use in patients with kidney disease published between January
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MR-guided percutaneous microwave coagulation of small breast tumors Insights Imaging (IF 4.7) Pub Date : 2024-03-18 Ying Ji, Yaoyao Zhuo, Ting Li, Jingge Lian, Zilin Wang, Xinyu Guo, Dexing Kong, Kangan Li
To evaluate the technical success and patient safety of magnetic resonance-guided percutaneous microwave coagulation (MR-guided PMC) for breast malignancies. From May 2018 to December 2019, 26 patients with breast tumors measuring 2 cm or less were recruited to participate in a prospective, single-institution clinical study. The primary endpoint of this study was the evaluation of treatment efficacy
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Fractal analysis of left ventricular trabeculae in post-STEMI: from acute to chronic phase Insights Imaging (IF 4.7) Pub Date : 2024-03-18 Ruo-Yang Shi, Rui Wu, Jinjun Ran, Lang-Lang Tang, Luke Wesemann, Jiani Hu, Liang Du, Wei-Jun Zhang, Jian-Rong Xu, Yan Zhou, Lei Zhao, Jun Pu, Lian-Ming Wu
The temporal evolution of ventricular trabecular complexity and its correlation with major adverse cardiovascular events (MACE) remain indeterminate in patients presenting with acute ST elevation myocardial infarction (STEMI). This retrospective analysis enrolled patients undergoing primary percutaneous coronary intervention (pPCI) for acute STEMI, possessing cardiac magnetic resonance (CMR) data in
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Exploring a multiparameter MRI–based radiomics approach to predict tumor proliferation status of serous ovarian carcinoma Insights Imaging (IF 4.7) Pub Date : 2024-03-18 Li Liu, Ling Zhao, Yang Jing, Dan Li, Hua Linghu, Haiyan Wang, Linyi Zhou, Yuan Fang, Yongmei Li
To develop a multiparameter magnetic resonance imaging (MRI)-based radiomics approach that can accurately predict the tumor cell proliferation status of serous ovarian carcinoma (SOC). A total of 134 patients with SOC who met the inclusion and exclusion criteria were retrospectively screened from institution A, spanning from January 2016 to March 2022. Additionally, an external validation set comprising
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Comparison between postcontrast thin-slice T1-weighted 2D spin echo and 3D T1-weighted SPACE sequences in the detection of brain metastases at 1.5 and 3 T Insights Imaging (IF 4.7) Pub Date : 2024-03-14 Josef Vymazal, Zuzana Ryznarova, Aaron M. Rulseh
Accurate detection of metastatic brain lesions (MBL) is critical due to advances in radiosurgery. We compared the results of three readers in detecting MBL using T1-weighted 2D spin echo (SE) and sampling perfection with application-optimized contrasts using different flip angle evolution (SPACE) sequences with whole-brain coverage at both 1.5 T and 3 T. Fifty-six patients evaluated for MBL were included
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Ultrasonic shear wave elastography predicts the quality of the residual tendon before the rotator cuff repair Insights Imaging (IF 4.7) Pub Date : 2024-03-14 Xianghui Chen, Siming Chen, Fei Zhang, Yaqiong Zhu, Dan Yi, Hong Xu, Jie Tang, Qiang Zhang, Yuexiang Wang
Effective evaluation of rotator cuff tear residual tendon quality is the key to surgical repair. However, until now, the evaluation of rotator cuff tissue by ultrasonic shear wave elasticity (SWE) has been controversial. This prospective study analyzed the association between preoperative SWE and arthroscopic residual tendon quality scores. The shear wave velocity (SWV) of the deltoid muscle, the supraspinatus
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Deep learning-based automated lesion segmentation on pediatric focal cortical dysplasia II preoperative MRI: a reliable approach Insights Imaging (IF 4.7) Pub Date : 2024-03-13 Siqi Zhang, Yijiang Zhuang, Yi Luo, Fengjun Zhu, Wen Zhao, Hongwu Zeng
Focal cortical dysplasia (FCD) represents one of the most common causes of refractory epilepsy in children. Deep learning demonstrates great power in tissue discrimination by analyzing MRI data. A prediction model was built and verified using 3D full-resolution nnU-Net for automatic lesion detection and segmentation of children with FCD II. High-resolution brain MRI structure data from 65 patients
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Radiological biomarkers reflecting visceral fat distribution help distinguish inflammatory bowel disease subtypes: a multicenter cross-sectional study Insights Imaging (IF 4.7) Pub Date : 2024-03-13 Ziman Xiong, Peili Wu, Yan Zhang, Jun Chen, Yaqi Shen, Ihab Kamel, Bing Wu, Xianying Zheng, Zhen Li
To achieve automated quantification of visceral adipose tissue (VAT) distribution in CT images and screen out parameters with discriminative value for inflammatory bowel disease (IBD) subtypes. This retrospective multicenter study included Crohn’s disease (CD) and ulcerative colitis (UC) patients from three institutions between 2012 and 2021, with patients with acute appendicitis as controls. An automatic
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CT-based pancreatic radiomics predicts secondary loss of response to infliximab in biologically naïve patients with Crohn’s disease Insights Imaging (IF 4.7) Pub Date : 2024-03-13 Tian Yang, Jing Feng, Ruchen Yao, Qi Feng, Jun Shen
Predicting secondary loss of response (SLR) to infliximab (IFX) is paramount for tailoring personalized management regimens. Concurrent pancreatic manifestations in patients with Crohn’s disease (CD) may correlate with SLR to anti-tumor necrosis factor treatment. This work aimed to evaluate the potential of pancreatic radiomics to predict SLR to IFX in biologic-naive individuals with CD. Three models
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Prediction of clinically significant prostate cancer using radiomics models in real-world clinical practice: a retrospective multicenter study Insights Imaging (IF 4.7) Pub Date : 2024-02-29 Jie Bao, Xiaomeng Qiao, Yang Song, Yueting Su, Libiao Ji, Junkang Shen, Guang Yang, Hailin Shen, Ximing Wang, Chunhong Hu
To develop and evaluate machine learning models based on MRI to predict clinically significant prostate cancer (csPCa) and International Society of Urological Pathology (ISUP) grade group as well as explore the potential value of radiomics models for improving the performance of radiologists for Prostate Imaging Reporting and Data System (PI-RADS) assessment. A total of 1616 patients from 4 tertiary
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MRI T2 mapping and shear wave elastography for identifying main pain generator in delayed-onset muscle soreness: muscle or fascia? Insights Imaging (IF 4.7) Pub Date : 2024-02-29 Congcong Fu, Yu Xia, Bingshan Wang, Qiang Zeng, Shinong Pan
The main generator of delayed onset muscle soreness (DOMS) is still unknown. This study aimed to clarify the main generator of DOMS. Twelve participants performed eccentric exercise (EE) on lower legs. MRI and ultrasound were used to assess changes of calf muscle and deep fascia before and after EE. These results were then compared to the muscle pain level. Compared to baseline, muscle pain peaked
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Liver imaging and pregnancy: what to expect when your patient is expecting Insights Imaging (IF 4.7) Pub Date : 2024-02-27 Giorgia Porrello, Roberto Cannella, Jacques Bernuau, Antoine Agman, Giuseppe Brancatelli, Marco Dioguardi Burgio, Valérie Vilgrain
Liver diseases in pregnancy can be specific to gestation or only coincidental. In the latter case, the diagnosis can be difficult. Rapid diagnosis of maternal-fetal emergencies and situations requiring specialized interventions are crucial to preserve the maternal liver and guarantee materno-fetal survival. While detailed questioning of the patient and a clinical examination are highly important, imaging
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A retrospective study on adverse events of intravenous administration of sulfur hexafluoride microbubbles in abdominal and superficial applications in 83,778 patients Insights Imaging (IF 4.7) Pub Date : 2024-02-27 Di Li, Rui Zhang, Huixia Lan, Mianni Chen, Zhenli Huang, Huijuan Zhao, Shan Guo, Ming Xu, Yangyang Lei
To investigate the rate of adverse events (AEs) caused by intravenous administration of sulfur hexafluoride microbubbles in abdominal and superficial applications retrospectively and to explore practical measures for prevention and treatment of them. This study enrolled 83,778 contrast-enhanced ultrasound (CEUS) examinations using sulfur hexafluoride microbubbles intravenously performed during 11 years
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The value of periportal hyperintensity sign from gadobenate dimeglumine-enhanced hepatobiliary phase MRI for predicting clinical outcomes in patients with decompensated cirrhosis Insights Imaging (IF 4.7) Pub Date : 2024-02-27 Lanqing Cong, Yan Deng, Shuo Cai, Gongzheng Wang, Xinya Zhao, Jingzhen He, Songbo Zhao, Li Wang
To determine the value of periportal hyperintensity sign from gadobenate dimeglumine (Gd-BOPTA)-enhanced hepatobiliary phase (HBP) magnetic resonance imaging (MRI) for predicting clinical outcomes in patients with decompensated cirrhosis. A total of 199 cirrhotic patients who underwent Gd-BOPTA-enhanced MRI were divided into control group (n = 56) and decompensated cirrhosis group (n = 143). The presence
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The use of PET/MRI in radiotherapy Insights Imaging (IF 4.7) Pub Date : 2024-02-27 Qi Yan, Xia Yan, Xin Yang, Sijin Li, Jianbo Song
Positron emission tomography/magnetic resonance imaging (PET/MRI) is a hybrid imaging technique that quantitatively combines the metabolic and functional data from positron emission tomography (PET) with anatomical and physiological information from MRI. As PET/MRI technology has advanced, its applications in cancer care have expanded. Recent studies have demonstrated that PET/MRI provides unique advantages
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Review of strategies to reduce the contamination of the water environment by gadolinium-based contrast agents Insights Imaging (IF 4.7) Pub Date : 2024-02-27 Helena M. Dekker, Gerard J. Stroomberg, Aart J. Van der Molen, Mathias Prokop
Gadolinium-based contrast agents (GBCA) are essential for diagnostic MRI examinations. GBCA are only used in small quantities on a per-patient basis; however, the acquisition of contrast-enhanced MRI examinations worldwide results in the use of many thousands of litres of GBCA per year. Data shows that these GBCA are present in sewage water, surface water, and drinking water in many regions of the
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Rotator cuff tear patterns: MRI appearance and its surgical relevance Insights Imaging (IF 4.7) Pub Date : 2024-02-27 Alexeys Perez Yubran, Luis Cerezal Pesquera, Eva Llopis San Juan, Fernando Idoate Saralegui, Alvaro Cerezal Canga, Antonio Cruz Camara, Gustavo Matheus Valdivieso, Carolina Pisanti Lopez
A new perspective on rotator cuff anatomy has allowed a better understanding of the patterns of the different rotator cuff tears. It is essential for radiologists to be aware of these different patterns of tears and to understand how they might influence treatment and surgical approach. Our objective is to review the arthroscopy correlated magnetic resonance imaging appearance of the different types
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Computed tomography-based body composition parameters can predict short-term prognosis in ulcerative colitis patients Insights Imaging (IF 4.7) Pub Date : 2024-02-27 Jun Lu, Hui Xu, Haiyun Shi, Jing Zheng, Tianxin Cheng, Minsi Zhou, Xinjun Han, Yuxin Wang, Xuxu Meng, Xiaoyang Li, Jiahui Jiang, Peng Li, Zhenghan Yang, Lixue Xu
Emerging evidence suggests a potential relationship between body composition and short-term prognosis of ulcerative colitis (UC). Early and accurate assessment of rapid remission based on conventional therapy via abdominal computed tomography (CT) images has rarely been investigated. This study aimed to build a prediction model using CT-based body composition parameters for UC risk stratification.
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Deep learning model based on multi-lesion and time series CT images for predicting the benefits from anti-HER2 targeted therapy in stage IV gastric cancer Insights Imaging (IF 4.7) Pub Date : 2024-02-27 Meng He, Zi-fan Chen, Song Liu, Yang Chen, Huan Zhang, Li Zhang, Jie Zhao, Jie Yang, Xiao-tian Zhang, Lin Shen, Jian-bo Gao, Bin Dong, Lei Tang
To develop and validate a deep learning model based on multi-lesion and time series CT images in predicting overall survival (OS) in patients with stage IV gastric cancer (GC) receiving anti-HER2 targeted therapy. A total of 207 patients were enrolled in this multicenter study, with 137 patients for retrospective training and internal validation, 33 patients for prospective validation, and 37 patients
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Prognostic value of right atrial strains in arrhythmogenic right ventricular cardiomyopathy Insights Imaging (IF 4.7) Pub Date : 2024-02-27 Jin-Yu Zheng, Bing-Hua Chen, Rui Wu, Dong-Aolei An, Ruo-Yang Shi, Chong-Wen Wu, Lang-Lang Tang, Lei Zhao, Lian-Ming Wu
Arrhythmogenic right ventricular cardiomyopathy (ARVC) is an inherited cardiomyopathy characterized by progressive fibrofatty infiltration of atrial and ventricular myocardium resulting in adverse cardiac events. Atrial function has been increasingly recognized as prognostically important for cardiovascular disease. As the right atrial (RA) strain is a sensitive parameter to describe RA function, we
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T2WI-based MRI radiomics for the prediction of preoperative extranodal extension and prognosis in resectable rectal cancer Insights Imaging (IF 4.7) Pub Date : 2024-02-27 Hang Li, Li Chai, Hong Pu, Long-lin Yin, Mou Li, Xin Zhang, Yi-sha Liu, Ming-hui Pang, Tao Lu
To investigate whether T2-weighted imaging (T2WI)-based intratumoral and peritumoral radiomics can predict extranodal extension (ENE) and prognosis in patients with resectable rectal cancer. One hundred sixty-seven patients with resectable rectal cancer including T3T4N + cases were prospectively included. Radiomics features were extracted from intratumoral, peritumoral 3 mm, and peritumoral-mesorectal
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Prediction of lymph node metastasis in operable cervical cancer using clinical parameters and deep learning with MRI data: a multicentre study Insights Imaging (IF 4.7) Pub Date : 2024-02-27 Fengying Qin, Xinyan Sun, Mingke Tian, Shan Jin, Jian Yu, Jing Song, Feng Wen, Hongming Xu, Tao Yu, Yue Dong
To develop and validate a magnetic resonance imaging-based (MRI) deep multiple instance learning (D-MIL) model and combine it with clinical parameters for preoperative prediction of lymph node metastasis (LNM) in operable cervical cancer. A total of 392 patients with cervical cancer were retrospectively enrolled. Clinical parameters were analysed by logistical regression to construct a clinical model
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Coronary chronic total occlusion on coronary CT angiography: what radiologists should know? Insights Imaging (IF 4.7) Pub Date : 2024-02-27 Wei Xu, Junfeng Ma, Yiwen Chen, Fan Zhou, Changsheng Zhou, Long Jiang Zhang
Coronary chronic total occlusion (CTO) often occurs in patients with obstructive coronary artery disease, which remains one of the greatest challenges for interventional cardiologists. Coronary computed tomography angiography (CCTA) with its emerging post-processing techniques can provide a detailed assessment of CTO lesions before percutaneous coronary intervention (PCI), playing an important role
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CT and MRI radiomics of bone and soft-tissue sarcomas: an updated systematic review of reproducibility and validation strategies Insights Imaging (IF 4.7) Pub Date : 2024-02-27 Salvatore Gitto, Renato Cuocolo, Merel Huisman, Carmelo Messina, Domenico Albano, Patrick Omoumi, Elmar Kotter, Mario Maas, Peter Van Ooijen, Luca Maria Sconfienza
To systematically review radiomic feature reproducibility and model validation strategies in recent studies dealing with CT and MRI radiomics of bone and soft-tissue sarcomas, thus updating a previous version of this review which included studies published up to 2020. A literature search was conducted on EMBASE and PubMed databases for papers published between January 2021 and March 2023. Data regarding
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MRI-based synthetic CT for assessment of the bony elements of the sacroiliac joints in children Insights Imaging (IF 4.7) Pub Date : 2024-02-18 Eva Schiettecatte, Elke Vereecke, Jacob L. Jaremko, Lieve Morbée, Caroline Vande Walle, Lennart Jans, Nele Herregods
The purpose of this study is to assess the equivalency of MRI-based synthetic CT (sCT) to conventional CT for sacroiliac joint bony morphology assessment in children. A prospective study was performed. Children who had (PET-)CT-scan underwent additional MRI. sCT-CT image quality was analyzed by two readers subjectively overall, semi-quantitatively in terms of cortical delineation, joint facet defects
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Superolateral Hoffa fat pad edema in adolescent competitive alpine skiers: temporal evolution over 4 years and risk factors Insights Imaging (IF 4.7) Pub Date : 2024-02-16 Georg C. Feuerriegel, Adrian A. Marth, Stefan Fröhlich, Johannes Scherr, Jörg Spörri, Reto Sutter
To longitudinally assess and correlate the prevalence of superolateral Hoffa fat pad (SHFP) edema with changes in features of the knee extensor mechanism in adolescent competitive alpine skiers over 48 months. Competitive alpine skiers were prospectively enrolled in 2018 and underwent bilateral knee MRI at baseline and after 48 months. MRI was assessed for the prevalence of SHFP edema. Features of
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How AI should be used in radiology: assessing ambiguity and completeness of intended use statements of commercial AI products Insights Imaging (IF 4.7) Pub Date : 2024-02-16 Kicky G. van Leeuwen, Dennis M. Hedderich, Hugh Harvey, Steven Schalekamp
Intended use statements (IUSs) are mandatory to obtain regulatory clearance for artificial intelligence (AI)-based medical devices in the European Union. In order to guide the safe use of AI-based medical devices, IUSs need to contain comprehensive and understandable information. This study analyzes the IUSs of CE-marked AI products listed on AIforRadiology.com for ambiguity and completeness. We retrieved
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Imaging-based deep learning in kidney diseases: recent progress and future prospects Insights Imaging (IF 4.7) Pub Date : 2024-02-16 Meng Zhang, Zheng Ye, Enyu Yuan, Xinyang Lv, Yiteng Zhang, Yuqi Tan, Chunchao Xia, Jing Tang, Jin Huang, Zhenlin Li
Kidney diseases result from various causes, which can generally be divided into neoplastic and non-neoplastic diseases. Deep learning based on medical imaging is an established methodology for further data mining and an evolving field of expertise, which provides the possibility for precise management of kidney diseases. Recently, imaging-based deep learning has been widely applied to many clinical
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Intravoxel incoherent motion diffusion-weighted imaging for predicting kidney allograft function decline: comparison with clinical parameters Insights Imaging (IF 4.7) Pub Date : 2024-02-16 Wei Wang, Yuanmeng Yu, Jinsong Chen, Longjiang Zhang, Xue Li
To evaluate the added benefit of diffusion-weighted imaging (DWI) over clinical parameters in predicting kidney allograft function decline. Data from 97 patients with DWI of the kidney allograft were retrospectively analyzed. The DWI signals were analyzed with both the mono-exponential and bi-exponential models, yielding total apparent diffusion coefficient (ADCT), true diffusion (D), pseudo-diffusion