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  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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
  30. 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
  31. 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
  32. 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
  33. 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
  34. 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
  35. This study aimed to evaluate the feasibility of reduced full-of-view synthetic high-b value diffusion-weighted images (rFOV-syDWIs) in the clinical application of cervical cancer based on image quality and diagno...

    Authors: Qian Tang, Qiqi Zhou, Wen Chen, Ling Sang, Yu Xing, Chao Liu, Kejun Wang, Weiyin Vivian Liu and Lin Xu
    Citation: Insights into Imaging 2023 14:12
  36. The use of artificial intelligence (AI) with medical images to solve clinical problems is becoming increasingly common, and the development of new AI solutions is leading to more studies and publications using...

    Authors: Leonor Cerdá-Alberich, Jimena Solana, Pedro Mallol, Gloria Ribas, Miguel García-Junco, Angel Alberich-Bayarri and Luis Marti-Bonmati
    Citation: Insights into Imaging 2023 14:11
  37. 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
  38. 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
  39. Neurodegenerative diseases afflict a large number of persons worldwide, with the prevalence and incidence of dementia rapidly increasing. Despite their prevalence, clinical diagnosis of dementia syndromes rema...

    Authors: James Ryan Loftus, Savita Puri and Steven P. Meyers
    Citation: Insights into Imaging 2023 14:8
  40. Poor glycemic control is associated with left ventricular (LV) dysfunction in patients with type 2 diabetes mellitus (T2DM). Nonetheless, the association between glycemic control and right ventricular (RV) fun...

    Authors: Jing Zhu, Wenjia Li, Fang Chen, Zhen Xie, Kaimin Zhuo and Ruijue Huang
    Citation: Insights into Imaging 2023 14:7
  41. The rising prevalence of cystic renal lesions (CRLs) detected by computed tomography necessitates better identification of the malignant cystic renal neoplasms since a significant majority of CRLs are benign r...

    Authors: Quan-Hao He, Jia-Jun Feng, Fa-Jin Lv, Qing Jiang and Ming-Zhao Xiao
    Citation: Insights into Imaging 2023 14:6
  42. Infection of the deep neck spaces is a life-threatening acute illness that requires prompt diagnosis and treatment. Magnetic resonance imaging (MRI) offers unsurpassed soft tissue discrimination and is therefo...

    Authors: Jussi Hirvonen, Jaakko Heikkinen, Mikko Nyman, Tatu Happonen, Jarno Velhonoja, Heikki Irjala, Tero Soukka, Kimmo Mattila and Janne Nurminen
    Citation: Insights into Imaging 2023 14:5
  43. The prognosis of hepatocellular carcinoma (HCC) is still poor largely due to the high incidence of recurrence. We aimed to develop and validate predictive models of early postoperative recurrence for HCC using...

    Authors: Qian Li, Yi Wei, Tong Zhang, Feng Che, Shan Yao, Cong Wang, Dandan Shi, Hehan Tang and Bin Song
    Citation: Insights into Imaging 2023 14:4
  44. To establish a preoperative score based on gadoxetate disodium-enhanced magnetic resonance imaging (EOB-MRI) and clinical indicators for predicting histologic differentiation of solitary HCC up to 5 cm.

    Authors: Ting Yang, Hong Wei, Yuanan Wu, Yun Qin, Jie Chen, Hanyu Jiang and Bin Song
    Citation: Insights into Imaging 2023 14:3
  45. To improve the current imaging understanding of MRI or CT for hepatic epithelioid haemangioendothelioma (HEHE) to aid in its successful preoperative diagnosis.

    Authors: Lianmei Luo, Zeyu Cai, Sihui Zeng, Lizhu Wang, Zhuang Kang, Ning Yang and Yaqin Zhang
    Citation: Insights into Imaging 2023 14:2
  46. High-intensity focused ultrasound (HIFU) is used for the treatment of symptomatic leiomyomas. We aim to automate uterine volumetry for tracking changes after therapy with a 3D deep learning approach.

    Authors: Maike Theis, Tolga Tonguc, Oleksandr Savchenko, Sebastian Nowak, Wolfgang Block, Florian Recker, Markus Essler, Alexander Mustea, Ulrike Attenberger, Milka Marinova and Alois M. Sprinkart
    Citation: Insights into Imaging 2023 14:1

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