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Insights into Imaging
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  1. 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 special...

    Authors: Giorgia Porrello, Roberto Cannella, Jacques Bernuau, Antoine Agman, Giuseppe Brancatelli, Marco Dioguardi Burgio and Valérie Vilgrain
    Citation: Insights into Imaging 2024 15:66
    Content type: Educational Review Published on:

  2. 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 anato...

    Authors: Qi Yan, Xia Yan, Xin Yang, Sijin Li and Jianbo Song
    Citation: Insights into Imaging 2024 15:63
    Content type: Critical Review Published on:

  3. Arrhythmogenic right ventricular cardiomyopathy (ARVC) is an inherited cardiomyopathy characterized by progressive fibrofatty infiltration of atrial and ventricular myocardium resulting in adverse cardiac even...

    Authors: Jin-Yu Zheng, Bing-Hua Chen, Rui Wu, Dong-Aolei An, Ruo-Yang Shi, Chong-Wen Wu, Lang-Lang Tang, Lei Zhao and Lian-Ming Wu
    Citation: Insights into Imaging 2024 15:58
    Content type: Original Article Published on:

  4. 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.

    Authors: Hang Li, Li Chai, Hong Pu, Long-lin Yin, Mou Li, Xin Zhang, Yi-sha Liu, Ming-hui Pang and Tao Lu
    Citation: Insights into Imaging 2024 15:57
    Content type: Original Article Published on:

  5. 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)...

    Authors: Fengying Qin, Xinyan Sun, Mingke Tian, Shan Jin, Jian Yu, Jing Song, Feng Wen, Hongming Xu, Tao Yu and Yue Dong
    Citation: Insights into Imaging 2024 15:56
    Content type: Original Article Published on:

  6. 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.

    Authors: Eva Schiettecatte, Elke Vereecke, Jacob L. Jaremko, Lieve Morbée, Caroline Vande Walle, Lennart Jans and Nele Herregods
    Citation: Insights into Imaging 2024 15:53
    Content type: Original Article Published on:

  7. 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.

    Authors: Georg C. Feuerriegel, Adrian A. Marth, Stefan Fröhlich, Johannes Scherr, Jörg Spörri and Reto Sutter
    Citation: Insights into Imaging 2024 15:52
    Content type: Original Article Published on:

  8. 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 devi...

    Authors: Kicky G. van Leeuwen, Dennis M. Hedderich, Hugh Harvey and Steven Schalekamp
    Citation: Insights into Imaging 2024 15:51
    Content type: Original Article Published on:

  9. 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 min...

    Authors: Meng Zhang, Zheng Ye, Enyu Yuan, Xinyang Lv, Yiteng Zhang, Yuqi Tan, Chunchao Xia, Jing Tang, Jin Huang and Zhenlin Li
    Citation: Insights into Imaging 2024 15:50
    Content type: Critical Review Published on:

  11. Crohn’s disease (CD) is an inflammatory disease of the gastrointestinal tract. The disease behavior changes over time, and endoscopy is crucial in evaluating and monitoring the course of CD. To reduce the econ...

    Authors: Wenjuan Wu, Yan Jin, Dongyang Zhu, Junqing Wang, Yue Cheng and Lei Zhang
    Citation: Insights into Imaging 2024 15:48
    Content type: Original Article Published on:

  12. MAchine Learning In MyelomA Response (MALIMAR) is an observational clinical study combining “real-world” and clinical trial data, both retrospective and prospective. Images were acquired on three MRI scanners ...

    Authors: Simon J. Doran, Theo Barfoot, Linda Wedlake, Jessica M. Winfield, James Petts, Ben Glocker, Xingfeng Li, Martin Leach, Martin Kaiser, Tara D. Barwick, Aristeidis Chaidos, Laura Satchwell, Neil Soneji, Khalil Elgendy, Alexander Sheeka, Kathryn Wallitt…
    Citation: Insights into Imaging 2024 15:47
    Content type: Original Article Published on:

  14. In 2021, the American College of Radiology (ACR) Ovarian-Adnexal Reporting and Data System (O-RADS) MRI Committee developed a risk stratification system and lexicon for assessing adnexal lesions using MRI. Lik...

    Authors: Stephanie Nougaret, Leo Razakamanantsoa, Elizabeth A. Sadowski, Erica B. Stein, Yulia Lakhman, Nicole M. Hindman, Aurelie Jalaguier-Coudray, Andrea G. Rockall and Isabelle Thomassin-Naggara
    Citation: Insights into Imaging 2024 15:45
    Content type: Educational Review Published on:

  15. To develop and compare noninvasive models for differentiating between combined hepatocellular-cholangiocarcinoma (cHCC-CCA) and HCC based on serum tumor markers, contrast-enhanced ultrasound (CEUS), and comput...

    Authors: Jie Yang, Yun Zhang, Wu-yong-ga Bao, Yi-di Chen, Hanyu Jiang, Jia-yan Huang, Ke-yu Zeng, Bin Song, Zi-xing Huang and Qiang Lu
    Citation: Insights into Imaging 2024 15:44
    Content type: Original Article Published on:

  16. Authors: Nikita Sushentsev, Tristan Barrett and Leonardo Rundo
    Citation: Insights into Imaging 2024 15:43
    Content type: Opinion Published on:

    The original article was published in Insights into Imaging 2023 14:183

    The Critical Review to this article has been published in Insights into Imaging 2022 13:59

  17. The aim of this study was to diminish radiation exposure in interventional radiology (IR) imaging while maintaining image quality. This was achieved by decreasing the acquisition frame rate and employing a dee...

    Authors: Zhijiang Tang, Qiang Xiong, Xuantai Wu, Tianyi Xu, Yuxuan Shi, Ximing Xu, Jun Xu and Ruijue Wang
    Citation: Insights into Imaging 2024 15:42
    Content type: Original Article Published on:

  18. To construct and validate a model based on the dual-energy computed tomography (DECT) quantitative parameters and radiological features to predict Ki-67 expression levels in pancreatic ductal adenocarcinoma (P...

    Authors: Youjia Wen, Zuhua Song, Qian Li, Dan Zhang, Xiaojiao Li, Jiayi Yu, Zongwen Li, Xiaofang Ren, Jiayan Zhang, Qian Liu, Jie Huang, Dan Zeng and Zhuoyue Tang
    Citation: Insights into Imaging 2024 15:41
    Content type: Original Article Published on:

  19. Primary central nervous system post-transplantation lymphoproliferative disorder (PCNS-PTLD) is a rare but serious complication of hematopoietic stem cell transplantation (HSCT) in patients with severe β-thala...

    Authors: Xueqing Yang, Xi Deng, Meiqing Wu, Sean W. Chen, Muliang Jiang, Liling Long and Bihong T. Chen
    Citation: Insights into Imaging 2024 15:40
    Content type: Original Article Published on:

  20. Assessment of the posterior lateral knee pain poses diagnostic challenges, requiring accurate evaluation of various structures in light of the medical history and physical examination. Despite substantial prog...

    Authors: Wei-Ting Wu, Kentaro Onishi, Kamal Mezian, Ondřej Naňka, Bow Wang, Daniel Chiung-Jui Su, Vincenzo Ricci, Ke-Vin Chang and Levent Özçakar
    Citation: Insights into Imaging 2024 15:39
    Content type: Critical Review Published on:

  21. The randomized controlled trial comparing digital breast tomosynthesis and synthetic 2D mammograms (DBT + SM) versus digital mammography (DM) (the To-Be 1 trial), 2016–2017, did not result in higher cancer det...

    Authors: Nataliia Moshina, Axel Gräwingholt, Kristina Lång, Ritse Mann, Tone Hovda, Solveig Roth Hoff, Per Skaane, Christoph I. Lee, Hildegunn S. Aase, Aslak B. Aslaksen and Solveig Hofvind
    Citation: Insights into Imaging 2024 15:38
    Content type: Original Article Published on:

  22. Contrast-enhanced mammography (CEM) is a relatively recent diagnostic technique increasingly being utilized in clinical practice. Until recently, there was a lack of standardized reporting for CEM findings. Ho...

    Authors: Luca Nicosia, Ottavia Battaglia, Massimo Venturini, Federico Fontana, Manuela Minenna, Aurora Pesenti, Diana Budascu, Filippo Pesapane, Anna Carla Bozzini, Maria Pizzamiglio, Lorenza Meneghetti, Antuono Latronico, Giulia Signorelli, Luciano Mariano and Enrico Cassano
    Citation: Insights into Imaging 2024 15:37
    Content type: Educational Review Published on:

  23. Imaging is increasingly used to assess lymph node involvement in clinically early-stage cervical cancer. This retrospective study aimed to evaluate the diagnostic accuracy of MRI, CT, and [18F]FDG-PET-CT.

    Authors: Ester P. Olthof, Brenda J. Bergink-Voorthuis, Hans H. B. Wenzel, Jordy Mongula, Jacobus van der Velden, Anje M. Spijkerboer, Judit A. Adam, Ruud L. M. Bekkers, Jogchum J. Beltman, Brigitte F. M. Slangen, Hans W. Nijman, Ramon G. V. Smolders, Nienke E. van Trommel, Petra L. M. Zusterzeel, Ronald P. Zweemer, Lukas J. A. Stalpers…
    Citation: Insights into Imaging 2024 15:36
    Content type: Original Article Published on:

  24. To develop a deep learning (DL) model for differentiating between osteolytic osteosarcoma (OS) and giant cell tumor (GCT) on radiographs.

    Authors: Jingjing Shao, Hongxin Lin, Lei Ding, Bing Li, Danyang Xu, Yang Sun, Tianming Guan, Haiyang Dai, Ruihao Liu, Demao Deng, Bingsheng Huang, Shiting Feng, Xianfen Diao and Zhenhua Gao
    Citation: Insights into Imaging 2024 15:35
    Content type: Original Article Published on:

  26. Diagnostic imaging plays an important role in the pre-treatment workup of knee osteoarthritis (OA) and rheumatoid arthritis (RA). Herein, we identified a useful MRI sign of infrapatellar fat pad (IPFP) to impr...

    Authors: Qizheng Wang, Weili Zhao, Xiaoxi Ji, Yongye Chen, Ke Liu, Yupeng Zhu, Ruixin Yan, Siyuan Qin, Peijin Xin and Ning Lang
    Citation: Insights into Imaging 2024 15:33
    Content type: Original Article Published on:

  28. Late recurrence of hepatocellular carcinoma (HCC) after liver resection is regarded as a de novo tumor primarily related to the severity of underlying liver disease. We aimed to investigate risk factors, espec...

    Authors: Chongtu Yang, Jia Tan, Yidi Chen, Yanshu Wang, Yali Qu, Jie Chen, Hanyu Jiang and Bin Song
    Citation: Insights into Imaging 2024 15:31
    Content type: Original Article Published on:

  29. The stroke field is inevitably connected with imaging in which radiologists fulfill a central role. Our landmark MR CLEAN trial led to the implementation of baseline computed tomography angiography or magnetic...

    Authors: Noor Samuels, Rob A. van de Graaf, Yvo B. W. M. Roos, Diederik Dippel and Aad van der Lugt
    Citation: Insights into Imaging 2024 15:30
    Content type: Statement Published on:

  30. Eighteen to 35% of adnexal masses remain non-classified following ultrasonography, leading to unnecessary surgeries and inappropriate management. This finding led to the conclusion that ultrasonography was ins...

    Authors: Yohann Dabi, Andrea Rockall, Elisabeth Sadowski, Cyril Touboul, Leo Razakamanantsoa and Isabelle Thomassin-Naggara
    Citation: Insights into Imaging 2024 15:29
    Content type: Statement Published on:

  31. To develop a CT-based radiomics model combining with VAT and bowel features to improve the predictive efficacy of IFX therapy on the basis of bowel model.

    Authors: Yangdi Wang, Zixin Luo, Zhengran Zhou, Yingkui Zhong, Ruonan Zhang, Xiaodi Shen, Lili Huang, Weitao He, Jinjiang Lin, Jiayu Fang, Qiapeng Huang, Haipeng Wang, Zhuya Zhang, Ren Mao, Shi-Ting Feng, Xuehua Li…
    Citation: Insights into Imaging 2024 15:28
    Content type: Original Article Published on:

  32. Prostate MRI is established for the investigation of patients presenting with suspected early prostate cancer. Outcomes are dependent on both image quality and interpretation. This study assessed the impact of...

    Authors: Tristan Barrett, Kang-Lung Lee, Fredrik Illerstam, Henrik S. Thomsen, Kartik S. Jhaveri and Vibeke Løgager
    Citation: Insights into Imaging 2024 15:27
    Content type: Original Article Published on:

  33. To use convolutional neural networks (CNNs) for the differentiation between benign and malignant renal tumors using contrast-enhanced CT images of a multi-institutional, multi-vendor, and multicenter CT dataset.

    Authors: Michail E. Klontzas, Georgios Kalarakis, Emmanouil Koltsakis, Thomas Papathomas, Apostolos H. Karantanas and Antonios Tzortzakakis
    Citation: Insights into Imaging 2024 15:26
    Content type: Original Article Published on:

  34. Early cervical spondylotic myelopathy (CSM) is challenging to diagnose and easily missed. Diffusion MRI (dMRI) has the potential to identify early CSM.

    Authors: Ming Ni, Shujing Li, Xiaoyi Wen, Ben Wang, Chenyu Jiang, Xianchang Zhang, Ning Lang, Liang Jiang and Huishu Yuan
    Citation: Insights into Imaging 2024 15:25
    Content type: Original Article Published on:

  35. To explore the characteristics of myocardial involvement in Wilson Disease (WD) patients by cardiac magnetic resonance (CMR).

    Authors: Wei Deng, Jie Zhang, Zhuoran Jia, Zixiang Pan, Zhen Wang, Huimin Xu, Liang Zhong, Yongqiang Yu, Ren Zhao and Xiaohu Li
    Citation: Insights into Imaging 2024 15:24
    Content type: Original Article Published on:

  36. To investigate whether intratumoral and peritumoral radiomics may predict pathological responses after neoadjuvant chemotherapy against advanced gastric cancer.

    Authors: Chenchen Liu, Liming Li, Xingzhi Chen, Chencui Huang, Rui Wang, Yiyang Liu and Jianbo Gao
    Citation: Insights into Imaging 2024 15:23
    Content type: Original Article Published on:

  37. Despite the widespread recognition of the importance of artificial intelligence (AI) in healthcare, its implementation is often limited. This article aims to address this implementation gap by presenting insig...

    Authors: Bomi Kim, Stephan Romeijn, Mark van Buchem, Mohammad Hosein Rezazade Mehrizi and Willem Grootjans
    Citation: Insights into Imaging 2024 15:22
    Content type: Original Article Published on:

  38. To establish a model for predicting lymph node metastasis in bladder cancer (BCa) patients.

    Authors: Rui Sun, Meng Zhang, Lei Yang, Shifeng Yang, Na Li, Yonghua Huang, Hongzheng Song, Bo Wang, Chencui Huang, Feng Hou and Hexiang Wang
    Citation: Insights into Imaging 2024 15:21
    Content type: Original Article Published on:

  39. Endometriosis is a common crippling disease in women of reproductive age. Magnetic resonance imaging (MRI) is considered the cornerstone radiological technique for both the diagnosis and management of endometr...

    Authors: Edouard Ruaux, Wendaline M. VanBuren, Stéphanie Nougaret, Marie Gavrel, Mathilde Charlot, Flavia Grangeon, Pierre-Adrien Bolze, Isabelle Thomassin-Naggara and Pascal Rousset
    Citation: Insights into Imaging 2024 15:20
    Content type: Educational Review Published on:

    The Correction to this article has been published in Insights into Imaging 2024 15:89

    The Educational Review to this article has been published in Insights into Imaging 2024 15:19

  40. Endometriosis is a chronic and disabling gynecological disease that affects women of reproductive age. Magnetic resonance imaging (MRI) is considered the cornerstone radiological technique for both the diagnos...

    Authors: Edouard Ruaux, Stéphanie Nougaret, Marie Gavrel, Mathilde Charlot, Mojgan Devouassoux-Shisheboran, François Golfier, Isabelle Thomassin-Naggara and Pascal Rousset
    Citation: Insights into Imaging 2024 15:19
    Content type: Educational Review Published on:

    The Educational Review to this article has been published in Insights into Imaging 2024 15:20

  41. Authors: Bernd Hamm, Luis Marti-Bonmati and Francesco Sardanelli
    Citation: Insights into Imaging 2024 15:18
    Content type: Statement Published on:

    The Statement to this article has been published in European Radiology Experimental 2024 8:7

    The Editorial to this article has been published in European Radiology 2024 :s00330-023-10511-8

  42. To assess lung deformation in patients with idiopathic pulmonary fibrosis (IPF) using with elastic registration algorithm applied to three-dimensional ultrashort echo time (3D-UTE) MRI and analyze relationship...

    Authors: Xiaoyan Yang, Pengxin Yu, Haishuang Sun, Mei Deng, Anqi Liu, Chen Li, Wenyan Meng, Wenxiu Xu, Bingbing Xie, Jing Geng, Yanhong Ren, Rongguo Zhang, Min Liu and Huaping Dai
    Citation: Insights into Imaging 2024 15:17
    Content type: Original Article Published on:

  43. Artificial Intelligence (AI) carries the potential for unprecedented disruption in radiology, with possible positive and negative consequences. The integration of AI in radiology holds the potential to revolut...

    Authors: Adrian P. Brady, Bibb Allen, Jaron Chong, Elmar Kotter, Nina Kottler, John Mongan, Lauren Oakden-Rayner, Daniel Pinto dos Santos, An Tang, Christoph Wald and John Slavotinek
    Citation: Insights into Imaging 2024 15:16
    Content type: Statement Published on:

    The Commentary to this article has been published in European Radiology 2024 :s00330-023-10488-4

  44. To present a framework to develop and implement a fast-track artificial intelligence (AI) curriculum into an existing radiology residency program, with the potential to prepare a new generation of AI conscious...

    Authors: Maria Jorina van Kooten, Can Ozan Tan, Elfi Inez Saïda Hofmeijer, Peter Martinus Adrianus van Ooijen, Walter Noordzij, Maria Jolanda Lamers, Thomas Christian Kwee, Rozemarijn Vliegenthart and Derya Yakar
    Citation: Insights into Imaging 2024 15:15
    Content type: Original Article Published on:

  45. Biological studies suggested that the COVID-19 outbreak in France occurred before the first official diagnosis on January 24, 2020. We investigated this controversial topic using a large collection of chest CT...

    Authors: Amandine Crombé, Claire Dupont, François Casalonga, Mylène Seux, Nicolas Favard, Agnès Coulon, Thomas Jurkovic, Hubert Nivet and Guillaume Gorincour
    Citation: Insights into Imaging 2024 15:14
    Content type: Original Article Published on:

  47. To evaluate the image quality and utility of virtual monoenergetic images (VMI) of dual-layer spectrum computed tomography (DLSCT) in assessing preoperative T-stage for early rectal adenocarcinoma (ERA).

    Authors: Ziqi Jia, Lei Guo, WenJing Yuan, JianHao Dai, JianYe Lu, ZhiQiang Li, Xiaohua Du, Weicui Chen and Xian Liu
    Citation: Insights into Imaging 2024 15:11
    Content type: Original Article Published on:

  48. Creeping fat is a kind of unique abnormal mesenteric tissue at the sites of diseased bowel of Crohn’s disease. By using dual-energy CT enterography, this study aimed to evaluate the feasibility of spectral par...

    Authors: Xianchu Li, Wei Wu, Yan Yuan, Zhiming Zhu, Xiaowei Liu, Desheng Xiao and Xueying Long
    Citation: Insights into Imaging 2024 15:10
    Content type: Original Article Published on:

  49. To evaluate the efficacy of the CT-based intratumoral, peritumoral, and combined radiomics signatures in predicting progression-free survival (PFS) of patients with chondrosarcoma (CS).

    Authors: Qiyuan Li, Ning Wang, Yanmei Wang, Xiaoli Li, Qiushi Su, Jing Zhang, Xia Zhao, Zhengjun Dai, Yao Wang, Li Sun, Xuxiao Xing, Guangjie Yang, Chuanping Gao and Pei Nie
    Citation: Insights into Imaging 2024 15:9
    Content type: Original Article Published on:

  50. To propose a new quality scoring tool, METhodological RadiomICs Score (METRICS), to assess and improve research quality of radiomics studies.

    Authors: Burak Kocak, Tugba Akinci D’Antonoli, Nathaniel Mercaldo, Angel Alberich-Bayarri, Bettina Baessler, Ilaria Ambrosini, Anna E. Andreychenko, Spyridon Bakas, Regina G. H. Beets-Tan, Keno Bressem, Irene Buvat, Roberto Cannella, Luca Alessandro Cappellini, Armando Ugo Cavallo, Leonid L. Chepelev, Linda Chi Hang Chu…
    Citation: Insights into Imaging 2024 15:8
    Content type: Guideline Published on:
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  • ISSN: 1869-4101 (electronic)