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  1. 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
  2. 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
  3. 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
  4. 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
  5. 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.

  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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
  26. To investigate the reproducibility of radiomics features extracted from two-dimensional regions of interest (2D ROIs) versus whole lung (3D) ROIs in repeated in-vivo fetal magnetic resonance imaging (MRI) acqu...

    Authors: Martin L. Watzenboeck, Benedikt H. Heidinger, Julian Rainer, Victor Schmidbauer, Barbara Ulm, Erika Rubesova, Daniela Prayer, Gregor Kasprian and Florian Prayer
    Citation: Insights into Imaging 2023 14:31
  27. Synthetic computed tomography (sCT) images are magnetic resonance imaging (MRI)-based images, generated using artificial intelligence. This study aimed to determine the prevalence of anatomical variants of sac...

    Authors: Elke Vereecke, Lieve Morbée, Frederiek Laloo, Min Chen, Jacob L. Jaremko, Nele Herregods and Lennart Jans
    Citation: Insights into Imaging 2023 14:30
  28. Even though imaging is essential to modern medicine, some examinations are of low value as they do not lead to any change in the management of the patient. The Choosing Wisely (CW) campaign aims to reduce the ...

    Authors: Eivind Richter Andersen, Ingrid Øfsti Brandsæter, Bjørn Morten Hofmann and Elin Kjelle
    Citation: Insights into Imaging 2023 14:29
  29. To develop and validate an MRI texture-based machine learning model for the noninvasive assessment of renal function.

    Authors: Xiaokai Mo, Wenbo Chen, Simin Chen, Zhuozhi Chen, Yuanshu Guo, Yulian Chen, Xuewei Wu, Lu Zhang, Qiuying Chen, Zhe Jin, Minmin Li, Luyan Chen, Jingjing You, Zhiyuan Xiong, Bin Zhang and Shuixing Zhang
    Citation: Insights into Imaging 2023 14:28
  30. Although the Diagnostic Reference Levels (DRLs) have been shown to be an important tool for optimising patient radiation protection, there are still difficulties related to the methodology that should be used ...

    Authors: John Damilakis, Guy Frija, Boris Brkljacic, Eliseo Vano, Reinhard Loose, Graciano Paulo, Hugues Brat and Virginia Tsapaki
    Citation: Insights into Imaging 2023 14:27
  31. Artificial intelligence (AI)-enabled applications are increasingly being used in providing healthcare services, such as medical imaging support. Sufficient and appropriate education for medical imaging profess...

    Authors: Riaan van de Venter, Emily Skelton, Jacqueline Matthew, Nick Woznitza, Giacomo Tarroni, Shashivadan P. Hirani, Amrita Kumar, Rizwan Malik and Christina Malamateniou
    Citation: Insights into Imaging 2023 14:25
  32. The purpose of the study is to investigate the performance of radiomics-based analysis in prediction of pure ground-glass nodule (pGGN) lung adenocarcinomas invasiveness using thin-section computed tomography ...

    Authors: Hui Feng, Gaofeng Shi, Qian Xu, Jialiang Ren, Lijia Wang and Xiaojia Cai
    Citation: Insights into Imaging 2023 14:24
  33. This population-based study aimed to collect, analyze, and summarize the long-term trends in medical imaging use in Taiwan.

    Authors: Chung-Chien Huang, Fransisca Fortunata Effendi, Russell Oliver Kosik, Wen-Jeng Lee, Li-Jen Wang, Chun-Jung Juan and Wing P. Chan
    Citation: Insights into Imaging 2023 14:23

    The Opinion to this article has been published in Insights into Imaging 2023 14:83

    The Opinion to this article has been published in Insights into Imaging 2023 14:137

  34. Tenosynovial giant cell tumour (TGCT) is a rare soft-tissue tumour originating from synovial lining of joints, bursae and tendon sheaths. The tumour comprises two subtypes: the localised-type (L-TGCT) is chara...

    Authors: Geert Spierenburg, Carlos Suevos Ballesteros, Berend C. Stoel, Ana Navas Cañete, Hans Gelderblom, Michiel A. J. van de Sande and Kirsten van Langevelde
    Citation: Insights into Imaging 2023 14:22
  35. To systematically review current research applications of radiomics in patients with cholangiocarcinoma and to assess the quality of CT and MRI radiomics studies.

    Authors: Roberto Cannella, Federica Vernuccio, Michail E. Klontzas, Andrea Ponsiglione, Ekaterina Petrash, Lorenzo Ugga, Daniel Pinto dos Santos and Renato Cuocolo
    Citation: Insights into Imaging 2023 14:21
  36. To develop and externally validate a conventional CT-based radiomics model for identifying HER2-positive status in gastric cancer (GC).

    Authors: Huiping Zhao, Pan Liang, Liuliang Yong, Ming Cheng, Yan Zhang, Minggang Huang and Jianbo Gao
    Citation: Insights into Imaging 2023 14:20
  37. Diffusion-weighted MRI is a promising technique to monitor response to treatment in pediatric rhabdomyosarcoma. However, its validation in clinical practice remains challenging. This study aims to investigate ...

    Authors: Cyrano Chatziantoniou, Reineke A. Schoot, Roelof van Ewijk, Rick R. van Rijn, Simone A. J. ter Horst, Johannes H. M. Merks, Alexander Leemans and Alberto De Luca
    Citation: Insights into Imaging 2023 14:19
  38. Pretreatment prediction of stage in patients with cervical cancer (CC) is vital for tailoring treatment strategy. This study aimed to explore the feasibility of a model combining reduced field-of-view (rFOV) d...

    Authors: Qiuhan Huang, Baodi Deng, Yanchun Wang, Yaqi Shen, Xuemei Hu, Cui Feng and Zhen Li
    Citation: Insights into Imaging 2023 14:18
  39. To test whether preoperative pain sensitivity is associated with the postoperative axial pain (PAP) in degenerative cervical myelopathy (DCM) and to explore its underlying brain mechanism.

    Authors: Qian Su, Jie Li, Xu Chu and Rui Zhao
    Citation: Insights into Imaging 2023 14:16
  40. This study aimed to assess the computed tomography (CT) and magnetic resonance imaging (MRI) features of pancreatic mixed neuroendocrine–non-neuroendocrine neoplasm (MiNEN) and compare them with those of pancr...

    Authors: Yanqi Zhong, Heng Zhang, Xian Wang, Zongqiong Sun, Yuxi Ge, Weiqiang Dou and Shudong Hu
    Citation: Insights into Imaging 2023 14:15
  41. To investigate the generalizability of transfer learning (TL) of automated tumor segmentation from cervical cancers toward a universal model for cervical and uterine malignancies in diffusion-weighted magnetic...

    Authors: Yu-Chun Lin, Yenpo Lin, Yen-Ling Huang, Chih-Yi Ho, Hsin-Ju Chiang, Hsin-Ying Lu, Chun-Chieh Wang, Jiun-Jie Wang, Shu-Hang Ng, Chyong-Huey Lai and Gigin Lin
    Citation: Insights into Imaging 2023 14:14
  42. A good understanding of the MRI anatomy of the rectum and its surroundings is pivotal to ensure high-quality diagnostic evaluation and reporting of rectal cancer. With this pictorial review, we aim to provide ...

    Authors: Nino Bogveradze, Petur Snaebjornsson, Brechtje A. Grotenhuis, Baukelien van Triest, Max J. Lahaye, Monique Maas, Geerard L. Beets, Regina G. H. Beets-Tan and Doenja M. J. Lambregts
    Citation: Insights into Imaging 2023 14:13
  43. To assess the stand-alone and combined performance of artificial intelligence (AI) detection systems for digital mammography (DM) and automated 3D breast ultrasound (ABUS) in detecting breast cancer in women w...

    Authors: Tao Tan, Alejandro Rodriguez-Ruiz, Tianyu Zhang, Lin Xu, Regina G. H. Beets-Tan, Yingzhao Shen, Nico Karssemeijer, Jun Xu, Ritse M. Mann and Lingyun Bao
    Citation: Insights into Imaging 2023 14:10
  44. The aim was to assess the type, frequency and impact of MRI-related complications in patients with cochlear implants (CI) and MRI indications in different body regions.

    Authors: Nilüfer Deniz Alberalar, Jonas Reis, Paula Louise Piechotta, Nick Lasse Beetz, Uli Fehrenbach, Dominik Geisel, Andreas Thomas, Harald Busse and Timm Denecke
    Citation: Insights into Imaging 2023 14:9

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