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  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. Nipple discharge is a frequent breast disease clinical presentation. Although most cases of nipple discharge are physiologic, pathologic nipple discharge is not uncommon. Eight to 15% of pathological nipple di...

    Authors: Afsaneh Alikhassi and Belinda Curpen
    Citation: Insights into Imaging 2023 14:201
  13. Develop and evaluate an ensemble clinical machine learning–deep learning (CML-DL) model integrating deep visual features and clinical data to improve the prediction of supraspinatus/infraspinatus tendon comple...

    Authors: Yamuhanmode Alike, Cheng Li, Jingyi Hou, Yi Long, Jinming Zhang, Chuanhai Zhou, Zongda Zhang, Qi Zhu, Tao Li, Shinan Cao, Yuanhao Zhang, Dan Wang, Shuangqin Cheng and Rui Yang
    Citation: Insights into Imaging 2023 14:200
  14. Structured reporting in radiology continues to hold substantial potential to improve the quality of service provided to patients and referring physicians. Despite many physicians’ preference for structured rep...

    Citation: Insights into Imaging 2023 14:199

    The Commentary to this article has been published in European Radiology 2023 :s00330-023-10465-x

  15. To investigate the clinical value of radiomic analysis on [18F]FDG and [18F]FLT PET on the differentiation of [18F]FDG-avid benign and malignant pulmonary nodules (PNs).

    Authors: Jing Ning, Can Li, Peng Yu, Jingjing Cui, Xiaodan Xu, Yan Jia, Panli Zuo, Jiahe Tian, Lukas Kenner and Baixuan Xu
    Citation: Insights into Imaging 2023 14:197
  16. Interpretability is essential for reliable convolutional neural network (CNN) image classifiers in radiological applications. We describe a weakly supervised segmentation model that learns to delineate the tar...

    Authors: Robert O’Shea, Thubeena Manickavasagar, Carolyn Horst, Daniel Hughes, James Cusack, Sophia Tsoka, Gary Cook and Vicky Goh
    Citation: Insights into Imaging 2023 14:195
  17. To determine the perspective of final-year medical students on the use of computed tomography (CT) in patients with sepsis.

    Authors: Julian Pohlan, Maria Isabel Opper Hernando, Roderic Waschinsky, Federico Biavati, Harm Peters, Samuel Knauss, Peter Richard Steinhagen, Kerstin Rubarth, Denis Witham and Marc Dewey
    Citation: Insights into Imaging 2023 14:193
  18. The study aimed to evaluate scoring systems for predicting complicated appendicitis in adults diagnosed with acute appendicitis on computed tomography.

    Authors: Rathachai Kaewlai, Sasima Tongsai, Wanwarang Teerasamit, Dhanawin Wongsaengchan, Napakadol Noppakunsomboon, Pramuk Khamman, Anchisa Chatkaewpaisal and Piyaporn Apisarnthanarak
    Citation: Insights into Imaging 2023 14:191
  19. Hepatocellular carcinoma (HCC) expressing cytokeratin (CK) 7 or CK19 has a cholangiocyte phenotype that stimulates HCC proliferation, metastasis, and sorafenib therapy resistance This study aims to noninvasive...

    Authors: Yidi Chen, Jie Chen, Chongtu Yang, Yuanan Wu, Hong Wei, Ting Duan, Zhen Zhang, Liling Long, Hanyu Jiang and Bin Song
    Citation: Insights into Imaging 2023 14:190
  20. The aim of the study was to investigate computed tomography-based thermography (CTT) for ablation zone prediction in microwave ablation (MWA).

    Authors: Bogdan Kostyrko, Kerstin Rubarth, Christian Althoff, Franz Gerd Martin Poch, Christina Ann Neizert, Miriam Zibell, Bernhard Gebauer, Kai Siegfried Lehmann, Stefan Markus Niehues, Jürgen Mews, Torsten Diekhoff and Julian Pohlan
    Citation: Insights into Imaging 2023 14:189
  21. Nasal polyp (NP) and inverted papilloma (IP) are two common types of nasal masses. And their differentiation is essential for determining optimal surgical strategies and predicting outcomes. Thus, we aimed to ...

    Authors: Mengqi Guo, Xuefeng Zang, Wenting Fu, Haoyi Yan, Xiangyuan Bao, Tong Li and Jianping Qiao
    Citation: Insights into Imaging 2023 14:188
  22. To assess the frequency of appearance of various signs (isolated and grouped) in emergency imaging tests in patients with anisakiasis, according to the location of gastrointestinal tract involvement.

    Authors: Roberto Fornell-Perez, Maite Urizar-Gorosarri, Uxue Martinez-Urabayen and Marta Perez-Bea
    Citation: Insights into Imaging 2023 14:187
  23. We sought to investigate if artificial medical images can blend with original ones and whether they adhere to the variable anatomical constraints provided.

    Authors: Elfi Inez Saïda Hofmeijer, Sheng-Chih Wu, Rozemarijn Vliegenthart, Cornelis Herman Slump, Ferdi van der Heijden and Can Ozan Tan
    Citation: Insights into Imaging 2023 14:186
  24. Development of automated segmentation models enabling standardized volumetric quantification of fibroglandular tissue (FGT) from native volumes and background parenchymal enhancement (BPE) from subtraction vol...

    Authors: Sylwia Nowakowska, Karol Borkowski, Carlotta M. Ruppert, Anna Landsmann, Magda Marcon, Nicole Berger, Andreas Boss, Alexander Ciritsis and Cristina Rossi
    Citation: Insights into Imaging 2023 14:185
  25. The effectiveness of surgical interventions, whether direct or indirect, for Moyamoya disease (MMD) remains controversial. This study aims to investigate CT perfusion (CTP) as an objective method to evaluate t...

    Authors: Xuexia Yuan, Hao Yu, Zhanguo Sun, Jiaxing Wu, Lingyun Gao, Zhen Chong, Feng Jin, Yueqin Chen and Deguo Liu
    Citation: Insights into Imaging 2023 14:184
  26. The purpose of this study was to evaluate the prognostic impact of body composition parameters based on computed tomography (CT) in patients with non-small cell lung cancer (NSCLC) who received ICI treatment.

    Authors: Ji Eun Park, Jaemin Jo, Jeonghwan Youk, Miso Kim, Soon Ho Yoon, Bhumsuk Keam, Tae Min Kim and Dong-Wan Kim
    Citation: Insights into Imaging 2023 14:182
  27. To investigate the optimal parameters of spectral CT for preferably visualizing the periprosthetic vasculature and metal artifact reduction (MAR) in total hip arthroplasty (THA).

    Authors: Jie Zhao, Qiang Cheng, Chuan Liu, Qiqi Wang, Yuchan Lv, Ziyi Tang, Yuxi Luo and Haitao Yang
    Citation: Insights into Imaging 2023 14:181
  28. Primary biliary cholangitis (PBC) is a rare chronic autoimmune-mediated cholestatic liver disease involving medium and small bile ducts that can lead to liver fibrosis and cirrhosis. To date, the pathogenesis ...

    Authors: Yun Zhang, Tianying Zheng, Zixing Huang and Bin Song
    Citation: Insights into Imaging 2023 14:180
  29. To re-assess cardiovascular metrics on computed tomography pulmonary angiography (CTPA) in predicting pulmonary hypertension (PH) under the 2022 ESC/ERS guidelines.

    Authors: Anqi Liu, Wenqing Xu, Linfeng Xi, Mei Deng, Haoyu Yang, Qiang Huang, Qian Gao, Peiyao Zhang, Wanmu Xie, Zhenguo Huang and Min Liu
    Citation: Insights into Imaging 2023 14:179
  30. To construct a simplified grading system based on MRI features to predict positive surgical margin (PSM) after radical prostatectomy (RP).

    Authors: Lili Xu, Gumuyang Zhang, Daming Zhang, Jiahui Zhang, Xiaoxiao Zhang, Xin Bai, Li Chen, Qianyu Peng, Yu Xiao, Hao Wang, Zhengyu Jin and Hao Sun
    Citation: Insights into Imaging 2023 14:178
  31. High-attenuation pulmonary abnormalities are commonly seen on CT. These findings are increasingly encountered with the growing number of CT examinations and the wide availability of thin-slice images. The abno...

    Authors: Taiki Fukuda, Ryoko Egashira, Midori Ueno, Mikiko Hashisako, Hiromitsu Sumikawa, Junya Tominaga, Daisuke Yamada, Junya Fukuoka, Shigeki Misumi, Hiroya Ojiri, Hiroto Hatabu and Takeshi Johkoh
    Citation: Insights into Imaging 2023 14:177
  32. This opinion piece reviews major reasons for promoting lung cancer screening in at-risk women who are smokers or ex-smokers, from the age of 50. The epidemiology of lung cancer in European women is extremely w...

    Authors: Marie-Pierre Revel and Guillaume Chassagnon
    Citation: Insights into Imaging 2023 14:176

    The Correction to this article has been published in Insights into Imaging 2023 14:198

  33. Preoperative stratification is critical for the management of patients with esophageal cancer (EC). To investigate the feasibility and accuracy of PET-CT-based radiomics in preoperative prediction of clinical ...

    Authors: Xiyao Lei, Zhuo Cao, Yibo Wu, Jie Lin, Zhenhua Zhang, Juebin Jin, Yao Ai, Ji Zhang, Dexi Du, Zhifeng Tian, Congying Xie, Weiwei Yin and Xiance Jin
    Citation: Insights into Imaging 2023 14:174
  34. To predict the tertiary lymphoid structures (TLSs) status and recurrence-free survival (RFS) of intrahepatic cholangiocarcinoma (ICC) patients using preoperative CT radiomics.

    Authors: Ying Xu, Zhuo Li, Yi Yang, Lu Li, Yanzhao Zhou, Jingzhong Ouyang, Zhen Huang, Sicong Wang, Lizhi Xie, Feng Ye, Jinxue Zhou, Jianming Ying, Hong Zhao and Xinming Zhao
    Citation: Insights into Imaging 2023 14:173
  35. To assess the feasibility of flexion-abduction-external rotation (FABER) magnetic resonance imaging (MRI) of the hip to visualize changes in the ischiofemoral interval and ability to provoke foveal excursion o...

    Authors: Alexander F. Heimann, Jonas Walther, Moritz Tannast, Joseph M. Schwab, Moritz Wagner, Alexander Brunner, Till D. Lerch, Simon D. Steppacher, Peter Vavron, Ehrenfried Schmaranzer and Florian Schmaranzer
    Citation: Insights into Imaging 2023 14:172
  36. The Myeloma Response Assessment and Diagnosis System (MY-RADS) guidelines establish a standardised acquisition and analysis pipeline for whole-body MRI (WB-MRI) in patients with myeloma. This is the first stud...

    Authors: Sam Keaveney, Alina Dragan, Mihaela Rata, Matthew Blackledge, Erica Scurr, Jessica M. Winfield, Joshua Shur, Dow-Mu Koh, Nuria Porta, Antonio Candito, Alexander King, Winston Rennie, Suchi Gaba, Priya Suresh, Paul Malcolm, Amy Davis…
    Citation: Insights into Imaging 2023 14:170
  37. This study aimed to extract radiomics features from MRI using machine learning (ML) algorithms and integrate them with clinical features to build response prediction models for patients with spinal metastases ...

    Authors: Yongye Chen, Siyuan Qin, Weili Zhao, Qizheng Wang, Ke Liu, Peijin Xin, Huishu Yuan, Hongqing Zhuang and Ning Lang
    Citation: Insights into Imaging 2023 14:169
  38. Because artificial intelligence (AI)-powered algorithms allow automated image analysis in a growing number of diagnostic scenarios, some healthcare stakeholders have raised doubts about the future of the entir...

    Authors: Minerva Becker
    Citation: Insights into Imaging 2023 14:168
  39. To develop and validate a multiphase CT-based radiomics model for preoperative risk stratification of patients with localized clear cell renal cell carcinoma (ccRCC).

    Authors: Huayun Liu, Zongjie Wei, Yingjie Xv, Hao Tan, Fangtong Liao, Fajin Lv, Qing Jiang, Tao Chen and Mingzhao Xiao
    Citation: Insights into Imaging 2023 14:167
  40. Peripheral nerves of the lower limb may become entrapped at various points during their anatomical course. While clinical assessment and nerve conduction studies are the mainstay of diagnosis, there are multip...

    Authors: Shanesh Kumar, Mohammad Danish Mangi, Steven Zadow and WanYin Lim
    Citation: Insights into Imaging 2023 14:166
  41. Subchondral insufficiency fractures (SIFs) and SIFs with osteonecrosis (SIF-ONs) of the knee (previously misnamed spontaneous osteonecrosis of the knee (SONK)) are bone lesions that appear without prior trauma...

    Authors: Jacques Malghem, Frédéric Lecouvet, Bruno Vande Berg, Thomas Kirchgesner and Patrick Omoumi
    Citation: Insights into Imaging 2023 14:164

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