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  1. QuADRANT was a study funded by the European Commission to evaluate clinical audit uptake and implementation across Europe, with an emphasis on clinical audit as mandated within the BSSD (Basic Safety Standards...

    Authors: David C. Howlett, Adrian P. Brady, Monika Hierath, Jonathan Clark, Wolfgang Wadsak, Francesco Giammarile, Núria Jornet and Mary Coffey
    Citation: Insights into Imaging 2023 14:81
  2. Diagnosing persistent pulmonary consolidation still faces challenges. The purpose of this study is to compare the diagnostic yield and the complication rate between percutaneous transthoracic CT-guided coaxial...

    Authors: Juan Wang, Tongyin Zhang, Yanyan Xu, Meng Yang, Zhenguo Huang, Jie Lin, Sheng Xie and Hongliang Sun
    Citation: Insights into Imaging 2023 14:80
  3. To evaluate robustness of dual-energy CT (DECT) radiomics features of virtual unenhanced (VUE) image and virtual monoenergetic image (VMI) among different imaging platforms.

    Authors: Jingyu Zhong, Zilai Pan, Yong Chen, Lingyun Wang, Yihan Xia, Lan Wang, Jianying Li, Wei Lu, Xiaomeng Shi, Jianxing Feng, Fuhua Yan, Huan Zhang and Weiwu Yao
    Citation: Insights into Imaging 2023 14:79
  4. Axilla is a pyramidal-in-shape “virtual cavity” housing multiple anatomical structures and connecting the upper limb with the trunk. To the best of our knowledge, in the pertinent literature, a detailed sonogr...

    Authors: Giulio Cocco, Vincenzo Ricci, Costantino Ricci, Ondřej Naňka, Orlando Catalano, Antonio Corvino, Andrea Boccatonda, Francesco Lorenzo Serafini, Jacopo Izzi, Gianfranco Vallone, Vito Cantisani, Giovanni Iannetti, Massimo Caulo, Claudio Ucciferri, Jacopo Vecchiet and Andrea Delli Pizzi
    Citation: Insights into Imaging 2023 14:78
  5. Rupture of intracranial aneurysm is very dangerous, often leading to death and disability. In this study, deep learning and radiomics techniques were used to automatically detect and differentiate ruptured and...

    Authors: Junbang Feng, Rong Zeng, Yayuan Geng, Qiang Chen, Qingqing Zheng, Fei Yu, Tie Deng, Lei Lv, Chang Li, Bo Xue and Chuanming Li
    Citation: Insights into Imaging 2023 14:76
  6. Even though radiomics can hold great potential for supporting clinical decision-making, its current use is mostly limited to academic research, without applications in routine clinical practice. The workflow o...

    Authors: Burak Kocak, Bettina Baessler, Spyridon Bakas, Renato Cuocolo, Andrey Fedorov, Lena Maier-Hein, Nathaniel Mercaldo, Henning Müller, Fanny Orlhac, Daniel Pinto dos Santos, Arnaldo Stanzione, Lorenzo Ugga and Alex Zwanenburg
    Citation: Insights into Imaging 2023 14:75
  7. To evaluate the performance of a dual-energy computed tomography (DECT) virtual non-calcium (VNCa) technique in the detection of edema-like marrow signal intensity (ELMSI) in patients with knee joint osteoarth...

    Authors: Heng Zhao, Hui Li, Xia Xie, Hai-yan Tang, Xiao-xin Liu, Yi Wen, Xin Xiao, Lu Ye, You-wei Tang, Gao-yue Dai, Jia-ni He, Li Chen, Qian Wang, De-qiu Tang and Shi-nong Pan
    Citation: Insights into Imaging 2023 14:74
  8. Various features extracted from breast MRI have the potential to serve as noninvasive biomarkers for the prediction of the biologic behavior of breast cancer. The purpose of this study was to investigate the v...

    Authors: Yanhong Chen, Lijun Wang, Ran Luo, Huanhuan Liu, Yuzhen Zhang and Dengbin Wang
    Citation: Insights into Imaging 2023 14:73
  9. AI-based software may improve the performance of radiologists when detecting clinically significant prostate cancer (csPCa). This study aims to compare the performance of radiologists in detecting MRI-visible ...

    Authors: Zhaonan Sun, Kexin Wang, Zixuan Kong, Zhangli Xing, Yuntian Chen, Ning Luo, Yang Yu, Bin Song, Pengsheng Wu, Xiangpeng Wang, Xiaodong Zhang and Xiaoying Wang
    Citation: Insights into Imaging 2023 14:72
  10. Clinical audit is an important quality improvement activity and has significant benefits for patients in terms of enhanced care, safety, experience and outcomes. Clinical audit in support of radiation protecti...

    Authors: David C. Howlett, Paulette Kumi, Roman Kloeckner, Nuria Bargallo, Bettina Baessler, Minerva Becker, Steve Ebdon-Jackson, Alexandra Karoussou-Schreiner, Christian Loewe, Marta Sans Merce, Marta Serrallonga-Mercader and Vasilis Syrgiamiotis
    Citation: Insights into Imaging 2023 14:71
  11. To develop a fully automatic framework for the diagnosis of cause for left ventricular hypertrophy (LVH) via cardiac cine images.

    Authors: Kaiyue Diao, Hong-qing Liang, Hong-kun Yin, Ming-jing Yuan, Min Gu, Peng-xin Yu, Sen He, Jiayu Sun, Bin Song, Kang Li and Yong He
    Citation: Insights into Imaging 2023 14:70
  12. To develop an artificial intelligence (AI) model with radiomics and deep learning (DL) features extracted from CT images to distinguish benign from malignant ovarian tumors.

    Authors: Ya-Ting Jan, Pei-Shan Tsai, Wen-Hui Huang, Ling-Ying Chou, Shih-Chieh Huang, Jing-Zhe Wang, Pei-Hsuan Lu, Dao-Chen Lin, Chun-Sheng Yen, Ju-Ping Teng, Greta S. P. Mok, Cheng-Ting Shih and Tung-Hsin Wu
    Citation: Insights into Imaging 2023 14:68
  13. Timely differentiating between pulmonary tuberculosis (TB) and nontuberculous mycobacterial lung disease (NTM-LD), which are radiographically similar, is important because infectiousness and treatment differ. ...

    Authors: Chia-Jung Liu, Cheng Che Tsai, Lu-Cheng Kuo, Po-Chih Kuo, Meng-Rui Lee, Jann-Yuan Wang, Jen-Chung Ko, Jin-Yuan Shih, Hao-Chien Wang and Chong-Jen Yu
    Citation: Insights into Imaging 2023 14:67
  14. Our objective is to compare the right/left ventricular blood pool T1 ratio (RVT1/LVT1), and right/left ventricular blood pool T2 ratio (RVT2/LVT2) on Cardiac Magnetic Resonance Imaging (CMR) between patients w...

    Authors: Mei Deng, Anqi Liu, Wenqing Xu, Haoyu Yang, Qian Gao, Ling Zhang, Yanan Zhen, Xiaopeng Liu, Wanmu Xie and Min Liu
    Citation: Insights into Imaging 2023 14:66
  15. Noninvasive and accurate prediction of lymph node metastasis (LNM) is very important for patients with early-stage cervical cancer (ECC). Our study aimed to investigate the accuracy and sensitivity of radiomic...

    Authors: Zhenhua Zhang, Xiaojie Wan, Xiyao Lei, Yibo Wu, Ji Zhang, Yao Ai, Bing Yu, Xinmiao Liu, Juebin Jin, Congying Xie and Xiance Jin
    Citation: Insights into Imaging 2023 14:65
  16. Recent advanced in radiomics analysis could help to identify breast cancer among benign mammary masses. The aim was to create a radiomics signature using breast DCE-MRI extracted features to classify tumors an...

    Authors: Kawtar Debbi, Paul Habert, Anaïs Grob, Anderson Loundou, Pascale Siles, Axel Bartoli and Alexis Jacquier
    Citation: Insights into Imaging 2023 14:64
  17. Mucosal healing (MH) is an important goal in the treatment of patients with Crohn’s disease (CD). Noninvasive assessment of MH with normalized iodine concentration (NIC) is unknown.

    Authors: Chao Zhu, Jing Hu, Chang Rong, Jianhua Zhou, Bo Zhang, Yankun Gao, Cuiping Li, Jianying Li and Xingwang Wu
    Citation: Insights into Imaging 2023 14:63
  18. In radiology, the justification of diagnostic imaging is a key performance indicator. To date, specific recommendations on the measurement of appropriateness in diagnostic imaging are missing. To map the study...

    Authors: Felix Walther, Maria Eberlein-Gonska, Ralf-Thorsten Hoffmann, Jochen Schmitt and Sophia F. U. Blum
    Citation: Insights into Imaging 2023 14:62
  19. To evaluate the implementation process of structured reporting (SR) in a tertiary care institution over a period of 7 years.

    Authors: Tobias Jorg, Moritz C. Halfmann, Gordon Arnhold, Daniel Pinto dos Santos, Roman Kloeckner, Christoph Düber, Peter Mildenberger, Florian Jungmann and Lukas Müller
    Citation: Insights into Imaging 2023 14:61
  20. To evaluate correlations between DRL quantities (DRLq) stratified into patient size groups for non-contrast chest and abdomen-pelvis CT examinations in adult patients and the corresponding organ doses.

    Authors: Paulo Roberto Costa, Alessandra Tomal, Jullianna Cristina de Oliveira Castro, Isabella Paziam Fernandes Nunes, Denise Yanikian Nersissian, Márcio Valente Yamada Sawamura, Hilton Leão Filho and Choonsik Lee
    Citation: Insights into Imaging 2023 14:60
  21. To investigate the potential of synthetic MRI (SyMRI) in the prognostic assessment of patients with nonmetastatic nasopharyngeal carcinoma (NPC), and the predictive value when combined with diffusion-weighted ...

    Authors: Fan Yang, Haoran Wei, Xiaolu Li, Xiaoduo Yu, Yanfeng Zhao, Lin Li, Yujie Li, Lizhi Xie, Sicong Wang and Meng Lin
    Citation: Insights into Imaging 2023 14:59
  22. Machine learning, and especially deep learning, is rapidly gaining acceptance and clinical usage in a wide range of image analysis applications and is regarded as providing high performance in detecting anatom...

    Authors: Yashbir Singh, Colleen M. Farrelly, Quincy A. Hathaway, Tim Leiner, Jaidip Jagtap, Gunnar E. Carlsson and Bradley J. Erickson
    Citation: Insights into Imaging 2023 14:58
  23. To analyse the existing radiation protection (RP) education and training (E&T) capabilities in the European Union and identify associated needs, problems and challenges.

    Authors: Joana Santos, Shane Foley, Jonas Andersson, João Paulo Figueiredo, Christoph Hoeschen, John Damilakis, Guy Frija, Francisco Alves, Katrine Riklund, Louise Rainford, Ursula Nestle, Jonathan McNulty, Klaus Bacher, Monika Hierath and Graciano Paulo
    Citation: Insights into Imaging 2023 14:55
  24. Enormous recent progress in diagnostic testing can enable more accurate diagnosis and improved clinical outcomes. Yet these tests are increasingly challenging and frustrating; the volume and diversity of resul...

    Authors: Norman J. Beauchamp, R. Nick Bryan, Marilyn M. Bui, Gabriel P. Krestin, Geraldine B. McGinty, Carolyn C. Meltzer and Michael Neumaier
    Citation: Insights into Imaging 2023 14:54

    A Related Article has been published.

  25. The field of radiology is currently underestimated by undergraduate medical students. The “Hands-on Radiology” summer school was established to improve radiology knowledge and interest among undergraduates. Th...

    Authors: Laura Segger, Adrian A. Marth, Vitus Gosch, Jonas Oppenheimer, Sophia Lüken, Annika Bierbrauer, Martine S. Nilssen, Mona Jahn, Bernd Hamm, Markus Lerchbaumer and Timo A. Auer
    Citation: Insights into Imaging 2023 14:53
  26. To build a clinical–radiomics model based on noncontrast computed tomography images to identify the risk of hemorrhagic transformation (HT) in patients with acute ischemic stroke (AIS) following intravenous th...

    Authors: Huanhuan Ren, Haojie Song, Jingjie Wang, Hua Xiong, Bangyuan Long, Meilin Gong, Jiayang Liu, Zhanping He, Li Liu, Xili Jiang, Lifeng Li, Hanjian Li, Shaoguo Cui and Yongmei Li
    Citation: Insights into Imaging 2023 14:52
  27. Liver cirrhosis-acute decompensation (LC-AD) has rapid short-term disease progression and difficult early risk stratification. The purpose is to develop and validate a model based on dual-energy CT quantificat...

    Authors: Yuan Xu, Yufeng Li, Shenglin Li, Shouxiao Xue and Jianli Liu
    Citation: Insights into Imaging 2023 14:51
  28. This study aimed to investigate the influence of microvascular impairment on myocardial characteristic alterations in remote myocardium at multiple time points, and its prognostic significance after acute ST-s...

    Authors: Bing-Hua Chen, Dong-Aolei An, Chong-Wen Wu, Ting Yue, Matthew Bautista, Erika Ouchi, Jian-Rong Xu, Jiani Hu, Yan Zhou, Jun Pu and Lian-Ming Wu
    Citation: Insights into Imaging 2023 14:50
  29. To assess PI-RADSv2.1 and PI-RADSv2 descriptors across readers with varying experience.

    Authors: Florian Di Franco, Rémi Souchon, Sébastien Crouzet, Marc Colombel, Alain Ruffion, Amna Klich, Mathilde Almeras, Laurent Milot, Muriel Rabilloud and Olivier Rouvière
    Citation: Insights into Imaging 2023 14:49
  30. To investigate whether commercially available deep learning (DL) software improves the Prostate Imaging-Reporting and Data System (PI-RADS) scoring consistency on bi-parametric MRI among radiologists with vari...

    Authors: Aydan Arslan, Deniz Alis, Servet Erdemli, Mustafa Ege Seker, Gokberk Zeybel, Sabri Sirolu, Serpil Kurtcan and Ercan Karaarslan
    Citation: Insights into Imaging 2023 14:48
  31. Structured reporting (SR) is recommended in radiology, due to its advantages over free-text reporting (FTR). However, SR use is hindered by insufficient integration of speech recognition, which is well accepte...

    Authors: Tobias Jorg, Benedikt Kämpgen, Dennis Feiler, Lukas Müller, Christoph Düber, Peter Mildenberger and Florian Jungmann
    Citation: Insights into Imaging 2023 14:47
  32. This study aimed to explore whether there is an association between androgen receptor (AR) expression and ultrasound, clinicopathological features and prognosis of breast cancer.

    Authors: Xudong Zhang, Hao Cui, Nana Hu, Peng Han, Wei Fan, Panting Wang, Xiaoxuan Zuo, Dantong Zhao, He Huang, Shuo Li, Hanqing Kong, Fuhui Peng, Jiawei Tian and Lei Zhang
    Citation: Insights into Imaging 2023 14:46
  33. We assessed the appropriateness of chest–abdominal–pelvis (CAP) CT scan use in the Emergency Department (ED), based on expert physicians and the ESR iGuide, a clinical decision support system (CDSS).

    Authors: Talya Markus, Mor Saban, Jacob Sosna, Jacob Assaf, Dotan Cohen, Sharona Vaknin, Osnat Luxenburg, Clara Singer and Dorith Shaham
    Citation: Insights into Imaging 2023 14:45
  34. To automatically segment prostate central gland (CG) and peripheral zone (PZ) on T2-weighted imaging using deep learning and assess the model’s clinical utility by comparing it with a radiologist annotation an...

    Authors: Lili Xu, Gumuyang Zhang, Daming Zhang, Jiahui Zhang, Xiaoxiao Zhang, Xin Bai, Li Chen, Qianyu Peng, Ru Jin, Li Mao, Xiuli Li, Zhengyu Jin and Hao Sun
    Citation: Insights into Imaging 2023 14:44
  35. We aimed to develop a deep learning artificial intelligence (AI) algorithm to detect impacted animal bones on lateral neck radiographs and to assess its effectiveness for improving the interpretation of latera...

    Authors: Yueh-Sheng Chen, Sheng-Dean Luo, Chi-Hsun Lee, Jian-Feng Lin, Te-Yen Lin, Sheung-Fat Ko, Chiun-Chieh Yu, Pi-Ling Chiang, Cheng-Kang Wang, I.-Min Chiu, Yii-Ting Huang, Yi-Fan Tai, Po-Teng Chiang and Wei-Che Lin
    Citation: Insights into Imaging 2023 14:43
  36. Currently, a prostate biopsy is guided by transrectal ultrasound (US) alone. However, this biopsy cannot be performed in men without an anus. The aim of this study was to show the outcomes of a new transperine...

    Authors: Byung Kwan Park, Jae Hoon Chung, Wan Song, Minyong Kang, Hyun Hwan Sung, Hwang Gyun Jeon, Byong Chang Jeong, Seong Il Seo, Seong Soo Jeon, Hyun Moo Lee and Ghee Young Kwon
    Citation: Insights into Imaging 2023 14:42
  37. The aim of this study was to develop a model that combines clinically relevant features with radiomics signature based on magnetic-resonance imaging (MRI) for diagnosis of chronic cholangitis in pancreaticobil...

    Authors: Yang Yang, Xin-xian Zhang, Lian Zhao, Jian Wang and Wan-liang Guo
    Citation: Insights into Imaging 2023 14:41
  38. To compare the performance of ultra-low-dose computed tomography (ULD-CT) with standard-dose computed tomography (SD-CT) for the diagnosis of non-displaced fractures of the shoulder, knee, ankle, and wrist.

    Authors: Mengqiang Xiao, Meng Zhang, Ming Lei, Fenghuan Lin, Yanxia Chen, Jun Chen, Jinfeng Liu and Jingzhi Ye
    Citation: Insights into Imaging 2023 14:40
  39. Magnetic resonance elastography (MRE) has been used to stage liver fibrosis in adults. We aimed to assess the agreement between the Ishak scoring system and magnetic resonance elastography-measured liver stiff...

    Authors: Duygu Demirtaş, Emre Ünal, İlkay S. İdilman, Zuhal Akçören, Mehmet Akif Göktaş, Meryem Seda Boyraz, Sevilay Karahan, Diclehan Orhan, Mithat Haliloğlu, Muşturay Karçaaltıncaba and Hasan Özen
    Citation: Insights into Imaging 2023 14:39
  40. This study compared the accuracy of predicting transarterial chemoembolization (TACE) outcomes for hepatocellular carcinoma (HCC) patients in the four different classifiers, and comprehensive models were const...

    Authors: Mingzhen Chen, Chunli Kong, Enqi Qiao, Yaning Chen, Weiyue Chen, Xiaole Jiang, Shiji Fang, Dengke Zhang, Minjiang Chen, Weiqian Chen and Jiansong Ji
    Citation: Insights into Imaging 2023 14:38
  41. Although diffusion tensor imaging (DTI) may facilitate the identification of cytoarchitectural changes associated with focal cortical dysplasia (FCD), the predominant aetiology of paediatric structural epileps...

    Authors: Antonio Giulio Gennari, Dorottya Cserpan, Ilona Stefanos-Yakoub, Raimund Kottke, Ruth O’Gorman Tuura and Georgia Ramantani
    Citation: Insights into Imaging 2023 14:36
  42. The relatively long scan time has hampered the clinical use of whole-heart noncontrast coronary magnetic resonance angiography (NCMRA). The compressed sensitivity encoding (SENSE) technique, also known as the ...

    Authors: Yang Zhang, Xinna Zhang, Yuqi Jiang, Panpan Yang, Xiankuo Hu, Bin Peng, Xiuzheng Yue, Yuanyuan Li, Peiqi Ma, Yushan Yuan, Yongqiang Yu, Bin Liu and Xiaohu Li
    Citation: Insights into Imaging 2023 14:35
  43. Different noninvasive imaging methods to predict the chance of malignancy of ovarian tumors are available. However, their predictive value is limited due to subjectivity of the reviewer. Therefore, more object...

    Authors: Anna H. Koch, Lara S. Jeelof, Caroline L. P. Muntinga, T. A. Gootzen, Nienke M. A. van de Kruis, Joost Nederend, Tim Boers, Fons van der Sommen and Jurgen M. J. Piek
    Citation: Insights into Imaging 2023 14:34
  44. The purpose of our study was to objectively and subjectively assess optimal monoenergetic image (MEI (+)) characteristics from dual-energy CT (DECT) and the diagnostic performance for the T staging in patients...

    Authors: Fanrong Cheng, Yan Liu, Lihong Du, Lei Wang, Lan Li, Jinfang Shi, Xiaoxia Wang and Jiuquan Zhang
    Citation: Insights into Imaging 2023 14:33

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