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  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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

    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

  10. 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

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

  11. Authors: Bernd Hamm, Luis Marti-Bonmati and Francesco Sardanelli
    Citation: Insights into Imaging 2024 15:18

    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 34:s00330-023-10511-8

  12. 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
  13. 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

    The Commentary to this article has been published in European Radiology 2024 34:s00330-023-10488-4

  14. 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
  15. 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
  16. At the European Society of Radiology (ESR), we strive to provide evidence for radiological practices that improve patient outcomes and have a societal impact. Successful translation of radiological research in...

    Authors: Marion Smits, Andrea Rockall, Stefan N. Constantinescu, Francesco Sardanelli and Luis Martí-Bonmatí
    Citation: Insights into Imaging 2024 15:13
  17. 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
  18. 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
  19. 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
  20. 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
  21. The purpose of the study was to investigate differences in ultrasound shear wave speed (SWS) between uninjured and injured limbs following hamstring strain injury (HSI) at time of injury (TOI), return to sport...

    Authors: Scott K. Crawford, Christa M. Wille, Mikel R. Joachim, Kenneth S. Lee and Bryan C. Heiderscheit
    Citation: Insights into Imaging 2024 15:7
  22. To evaluate the clinical and non-contrast computed tomography (CT) features of patients with benign pulmonary subsolid nodules (SSNs) with a solid component ≤ 5 mm and their development trends via follow-up CT.

    Authors: Shun Wu, Xiao Fan, Xian Li, Tian-you Luo, Xing-hua Li and Qi Li
    Citation: Insights into Imaging 2024 15:6
  23. To develop and validate a machine learning model using 18F-FDG PET/CT radiomics signature and clinical features to predict the presence of micropapillary and solid (MP/S) components in lung adenocarcinoma.

    Authors: Linyi Zhou, Jinju Sun, He Long, Weicheng Zhou, Renxiang Xia, Yi Luo, Jingqin Fang, Yi Wang and Xiao Chen
    Citation: Insights into Imaging 2024 15:5
  24. When referring patients to radiology, it is important that the most appropriate test is chosen to avoid inappropriate imaging that may lead to delayed diagnosis, unnecessary radiation dose, worse patient outco...

    Authors: Amy L. Schranz, Dave T. Ryan, Raegan David, Graeme McNeill and Ronan P. Killeen
    Citation: Insights into Imaging 2024 15:4
  25. To develop and validate a predictive model based on clinical features and multiparametric magnetic resonance imaging (mpMRI) to reduce unnecessary systematic biopsies (SBs) in biopsy-naïve patients with suspec...

    Authors: Xueqing Cheng, Yuntian Chen, Jinshun Xu, Diming Cai, Zhenhua Liu, Hao Zeng, Jin Yao and Bin Song
    Citation: Insights into Imaging 2024 15:3
  26. In radiomics, different feature normalization methods, such as z-Score or Min–Max, are currently utilized, but their specific impact on the model is unclear. We aimed to measure their effect on the predictive ...

    Authors: Aydin Demircioğlu
    Citation: Insights into Imaging 2024 15:2
  27. Desmoid tumours (DTs) or deep fibromatosis are benign soft-tissue tumours, sometimes locally aggressive, requiring intervention on some cases. Surgery has been the gold standard, but new less invasive techniqu...

    Authors: José Antonio Narvaez, Daniel Bernabeu, Lorenzo Muntaner, Fernando Gomez, José Martel, María del Mar Castellano, Raúl García-Marcos, Reda Britel, Itziar Oyagüez, Nerea Tejado and Eduardo Ortiz-Cruz
    Citation: Insights into Imaging 2024 15:1
  28. This study aims to compare the feasibility and effectiveness of automatic deep learning network and radiomics models in differentiating low tumor stroma ratio (TSR) from high TSR in pancreatic ductal adenocarc...

    Authors: Hongfan Liao, Jiang Yuan, Chunhua Liu, Jiao Zhang, Yaying Yang, Hongwei Liang, Song Jiang, Shanxiong Chen, Yongmei Li and Yanbing Liu
    Citation: Insights into Imaging 2023 14:223
  29. Precise determination of cervical lymph node metastasis (CLNM) involvement in patients with early-stage thyroid cancer is fairly significant for identifying appropriate cervical treatment options. However, it ...

    Authors: Li-Qiang Zhou, Shu-E. Zeng, Jian-Wei Xu, Wen-Zhi Lv, Dong Mei, Jia-Jun Tu, Fan Jiang, Xin-Wu Cui and Christoph F. Dietrich
    Citation: Insights into Imaging 2023 14:222
  30. Tumor deposits (TDs) are associated with poor prognosis in rectal cancer (RC). This study aims to develop and validate a deep learning (DL) model incorporating T2-MR image and clinical factors for the preopera...

    Authors: Yumei Jin, Hongkun Yin, Huiling Zhang, Yewu Wang, Shengmei Liu, Ling Yang and Bin Song
    Citation: Insights into Imaging 2023 14:221
  31. To present the results of a survey on the assessment of treatment response with imaging in oncologic patient, in routine clinical practice. The survey was promoted by the European Society of Oncologic Imaging ...

    Authors: Giovanni Cappello, Vittorio Romano, Emanuele Neri, Laure Fournier, Melvin D’Anastasi, Andrea Laghi, Giulia A. Zamboni, Regina G. H. Beets-Tan, Heinz-Peter Schlemmer and Daniele Regge
    Citation: Insights into Imaging 2023 14:220
  32. Open-access cancer imaging datasets have become integral for evaluating novel AI approaches in radiology. However, their use in quantitative analysis with radiomics features presents unique challenges, such as...

    Authors: Piotr Woznicki, Fabian Christopher Laqua, Adam Al-Haj, Thorsten Bley and Bettina Baeßler
    Citation: Insights into Imaging 2023 14:216
  33. To quantify extraprostatic findings (EPFs) on prostate MRI, estimate the proportion of reported and unreported EPFs, assess their clinical importance, and propose standardized reporting of EPFs.

    Authors: Monika Wagnerova, Iva Macova, Petr Hanus, Martin Jurka, Otakar Capoun, Lukas Lambert and Andrea Burgetova
    Citation: Insights into Imaging 2023 14:215
  34. Calcifications on mammography can be indicative of breast cancer, but the prognostic value of their appearance remains unclear. This systematic review and meta-analysis aimed to evaluate the association betwee...

    Authors: Merle M. van Leeuwen, Shannon Doyle, Alexandra W. van den Belt–Dusebout, Stevie van der Mierden, Claudette E. Loo, Ritse M. Mann, Jonas Teuwen and Jelle Wesseling
    Citation: Insights into Imaging 2023 14:213
  35. To evaluate the effect of tract embolization (TE) with gelatin sponge slurries during a percutaneous lung biopsy on chest tube placement and to evaluate the predictive factors of chest tube placement.

    Authors: Rémi Grange, Mathieu Di Bisceglie, Paul Habert, Noémie Resseguier, Robin Sarkissian, Marjorie Ferre, Michael Dassa, Sylvain Grange, Jean Izaaryene and Gilles Piana
    Citation: Insights into Imaging 2023 14:212
  36. To compare the diagnostic sensitivity of ultra-high-resolution computed tomography (U-HRCT) and HRCT in isolated fenestral otosclerosis (IFO).

    Authors: Ning Xu, Heyu Ding, Ruowei Tang, Xiaoshuai Li, Zhengyu Zhang, Han Lv, Chihang Dai, Xiaoyu Qiu, Yan Huang, Xu Han, Guo-Peng Wang, Yuhe Liu, Shusheng Gong, Zhenghan Yang, Zhenchang Wang and Pengfei Zhao
    Citation: Insights into Imaging 2023 14:211
  37. The aim of the present study is to describe the ultrasound (US) and magnetic resonance imaging (MRI) findings in patients with neuropathies affecting the deep (DB) and superficial (SB) branches of the Ulnar ne...

    Authors: Riccardo Picasso, Federico Zaottini, Federico Pistoia, Marta Macciò, Gabriele Rossi, Corrado Cabona, Luana Benedetti and Carlo Martinoli
    Citation: Insights into Imaging 2023 14:210
  38. To investigate the dynamic changes during follow-up computed tomography (CT), histological subtypes, gene mutation status, and surgical prognosis for different morphological presentations of solitary lung aden...

    Authors: Hong-fan Liao, Xing-tao Huang, Xian Li, Fa-jin Lv, Tian-you Luo and Qi Li
    Citation: Insights into Imaging 2023 14:209
  39. An increasing number of commercial deep learning computer-aided detection (DL-CAD) systems are available but their cost-saving potential is largely unknown. This study aimed to gain insight into appropriate pr...

    Authors: Yihui Du, Marcel J. W. Greuter, Mathias W. Prokop and Geertruida H. de Bock
    Citation: Insights into Imaging 2023 14:208
  40. This study aims to evaluate the efficacy of multi-model incorporated by radiomics, deep learning, and transcriptomics features for predicting pathological grade and survival in patients with clear cell renal c...

    Authors: Shihui Wang, Chao Zhu, Yidong Jin, Hongqing Yu, Lili Wu, Aijuan Zhang, Beibei Wang and Jian Zhai
    Citation: Insights into Imaging 2023 14:207
  41. Magnetic resonance (MR) imaging is the modality used for baseline assessment of locally advanced rectal cancer (LARC) and restaging after neoadjuvant treatment. The overall audited quality of MR imaging in lar...

    Authors: Ilaria Prata, Martina Eriksson, Jasenko Krdzalic, Elma Meershoek-Klein Kranenbarg, Annet G. H. Roodvoets, Regina Beets-Tan, Cornelis J. H. van de Velde, Boudewijn van Etten, Geke A. P. Hospers, Bengt Glimelius, Per J. Nilsson, Corrie A. M. Marijnen, Koen C. M. J. Peeters and Lennart K. Blomqvist
    Citation: Insights into Imaging 2023 14:206
  42. To develop and validate an 18F-FDG PET/CT-based clinical-radiological-radiomics nomogram and evaluate its value in the diagnosis of MYCN amplification (MNA) in paediatric neuroblastoma (NB) patients.

    Authors: Luo-Dan Qian, Shu-Xin Zhang, Si-Qi Li, Li-Juan Feng, Zi-Ang Zhou, Jun Liu, Ming-Yu Zhang and Ji-Gang Yang
    Citation: Insights into Imaging 2023 14:205
  43. Intrahepatic cholangiocarcinoma (iCCA) is an aggressive primary liver cancer with dismal outcome, high Ki-67 expression is associated with active progression and poor prognosis of iCCA, the application of MRE ...

    Authors: Shanshan Gao, Wei Sun, Yunfei Zhang, Feihang Wang, Kaipu Jin, Xianling Qian, Jing Han, Xiaolin Wang, Yongming Dai, Ruofan Sheng and Mengsu Zeng
    Citation: Insights into Imaging 2023 14:204
  44. Ultrasound (US) technology has recently made advances that have led to the development of modalities including elastography and contrast-enhanced ultrasound. The use of different US modalities in combination m...

    Authors: Yun Tang, Xingsheng Li, Qing Jiang and Lingyun Zhai
    Citation: Insights into Imaging 2023 14:203
  45. Ultrasound practice is a longstanding tradition for radiology departments, being part of the family of imaging techniques. Ultrasound is widely practiced by non-radiologists but becoming less popular within ra...

    Authors: Paul S. Sidhu, Caroline Ewertsen, Maciej Piskunowicz, Mustafa Secil, Paolo Ricci, Thomas Fischer, Diana Gaitini, Vladimir Mitkov, Adrian K. P. Lim, Qiang Lu, Wui K. Chong and Dirk Andre Clevert
    Citation: Insights into Imaging 2023 14:202

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  • Citation Impact 2023
    Journal Impact Factor: 4.1
    5-year Journal Impact Factor: 5.9
    Source Normalized Impact per Paper (SNIP): 2.142
    SCImago Journal Rank (SJR): 1.240

    Speed 2023
    Submission to first editorial decision (median days): 11
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