European Journal of Radiology Open最新文献

{"title":"Modified respiratory-triggered SPACE sequences for magnetic resonance cholangiopancreatography","authors":"Dayong Jin ,&nbsp;Xin Li ,&nbsp;Yifan Qian,&nbsp;Yanqiang Qiao,&nbsp;Liyao Liu,&nbsp;Juan Tian,&nbsp;Lei Wang,&nbsp;Yongli Ma,&nbsp;Yue Qin,&nbsp;Yinhu Zhu","doi":"10.1016/j.ejro.2024.100564","DOIUrl":"https://doi.org/10.1016/j.ejro.2024.100564","url":null,"abstract":"<div><h3>Background</h3><p>Respiratory-triggered (RT) and breath-hold are the most common acquisition modalities for magnetic resonance cholangiopancreatography (MRCP). The present study compared the three different acquisition modalities for optimizing the use of MRCP in patients with diseases of the pancreatic and biliary systems.</p></div><div><h3>Materials and methods</h3><p>Three MRCP acquisition modalities were used in this study: conventional respiratory-triggered sampling perfection with application-optimized contrasts using different flip evolutions (RT-SPACE), modified RT-SPACE, and breath-hold (BH)-SPACE. Fifty-eight patients with clinically suspected pancreatic and biliary system disease were included. All image data were acquired on a 1.5 T MR. Scan time and image quality were compared between the three acquisition modalities. Friedman test, which was followed by post-hoc analysis, was performed among triple-scan protocol.</p></div><div><h3>Results</h3><p>There was a significant difference in the mean acquisition time among conventional RT-SPACE, modified RT-SPACE, and BH-SPACE (167.41±32.11 seconds vs 50.84±73.78 seconds vs 18.00 seconds, <em>P</em> &lt;0.001). Signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were also significantly different among the three groups (<em>P</em> &lt;0.001). The SNR and CNR were higher in the RT-SPACE group than in the BH-SPACE group (<em>P</em> &lt;0.05). However, there were no statistically significant differences (<em>P</em> &gt;0.05) among the 3 groups regarding quality of overall image, image clarity, background inhibition, and visualization of the pancreatic and biliary system.</p></div><div><h3>Conclusions</h3><p>MRCP acquisition with the modified RT-SPACE sequence greatly shortens the acquisition time with comparable quality images. The MRCP acquisition modality could be designed based on the patient's situation to improve the examination pass rate and obtain excellent images for diagnosis.</p></div>","PeriodicalId":38076,"journal":{"name":"European Journal of Radiology Open","volume":"12 ","pages":"Article 100564"},"PeriodicalIF":2.0,"publicationDate":"2024-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2352047724000194/pdfft?md5=8f0fdf9ade75eed9c21ff5242b0a3319&pid=1-s2.0-S2352047724000194-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140622315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reproducing RECIST lesion selection via machine learning: Insights into intra and inter-radiologist variation","authors":"Teresa M. Tareco Bucho ,&nbsp;Liliana Petrychenko ,&nbsp;Mohamed A. Abdelatty ,&nbsp;Nino Bogveradze ,&nbsp;Zuhir Bodalal ,&nbsp;Regina G.H. Beets-Tan ,&nbsp;Stefano Trebeschi","doi":"10.1016/j.ejro.2024.100562","DOIUrl":"https://doi.org/10.1016/j.ejro.2024.100562","url":null,"abstract":"<div><h3>Background</h3><p>The Response Evaluation Criteria in Solid Tumors (RECIST) aims to provide a standardized approach to assess treatment response in solid tumors. However, discrepancies in the selection of measurable and target lesions among radiologists using these criteria pose a significant limitation to their reproducibility and accuracy. This study aimed to understand the factors contributing to this variability.</p></div><div><h3>Methods</h3><p>Machine learning models were used to replicate, in parallel, the selection process of measurable and target lesions by two radiologists in a cohort of 40 patients from an internal pan-cancer dataset. The models were trained on lesion characteristics such as size, shape, texture, rank, and proximity to other lesions. Ablation experiments were conducted to evaluate the impact of lesion diameter, volume, and rank on the selection process.</p></div><div><h3>Results</h3><p>The models successfully reproduced the selection of measurable lesions, relying primarily on size-related features. Similarly, the models reproduced target lesion selection, relying mostly on lesion rank. Beyond these features, the importance placed by different radiologists on different visual characteristics can vary, specifically when choosing target lesions. Worth noting that substantial variability was still observed between radiologists in both measurable and target lesion selection.</p></div><div><h3>Conclusions</h3><p>Despite the successful replication of lesion selection, our results still revealed significant inter-radiologist disagreement. This underscores the necessity for more precise guidelines to standardize lesion selection processes and minimize reliance on individual interpretation and experience as a means to bridge existing ambiguities.</p></div>","PeriodicalId":38076,"journal":{"name":"European Journal of Radiology Open","volume":"12 ","pages":"Article 100562"},"PeriodicalIF":2.0,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2352047724000170/pdfft?md5=af783b599123985e9f85386304718a03&pid=1-s2.0-S2352047724000170-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140558728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of multi-parameter MRI in preoperative staging of endometrial carcinoma","authors":"Lianbi Zhang,&nbsp;Liqiong Liu","doi":"10.1016/j.ejro.2024.100559","DOIUrl":"https://doi.org/10.1016/j.ejro.2024.100559","url":null,"abstract":"<div><h3>Background</h3><p>Endometrial carcinoma (EC) is a prevalent gynecological malignancy, necessitating accurate preoperative staging for effective treatment planning. This study explores the application value of multi-parameter MRI in diagnosing and staging endometrial cancer.</p></div><div><h3>Methods</h3><p>Seventy-six patients diagnosed with endometrial cancer underwent 3.0 T pelvic MRI within two weeks before surgery. Imaging data were analyzed based on FIGO clinical staging criteria. The study assessed the sensitivity, specificity, positive predictive value, and negative predictive value of MRI for each stage.</p></div><div><h3>Results</h3><p>Postoperative pathology confirmed 71 cases of endometrial adenocarcinoma, 3 serous adenocarcinoma, and 2 clear cell carcinomas. MRI staging showed a high consistency (Kappa value = 0.786) with postoperative pathology. The overall accuracy of MRI diagnosis was 86.8%. Sensitivity and specificity varied for each stage: IA (91.3%, 96.2%), IB (88.6%, 93.8%), II (97.4%, 89.2%), and III (84.2%, 100%).</p></div><div><h3>Conclusion</h3><p>While there was a slight misdiagnosis rate, the overall accuracy of preoperative MRI for endometrial cancer was high, aiding in precise diagnosis and clinical staging. MRI effectively identified myometrial infiltration, cervical involvement, paracentral extension, and lymph node metastasis. Further research with larger sample sizes is recommended for enhanced reliability.</p></div>","PeriodicalId":38076,"journal":{"name":"European Journal of Radiology Open","volume":"12 ","pages":"Article 100559"},"PeriodicalIF":2.0,"publicationDate":"2024-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2352047724000145/pdfft?md5=39c0677d377670f06a6c01dd5f958f31&pid=1-s2.0-S2352047724000145-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140190897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Radiomics approach to distinguish between benign and malignant soft tissue tumors on magnetic resonance imaging","authors":"Lei Xu ,&nbsp;Meng-Yue Wang ,&nbsp;Liang Qi ,&nbsp;Yue-Fen Zou ,&nbsp;WU Fei-Yun ,&nbsp;Xiu-Lan Sun","doi":"10.1016/j.ejro.2024.100555","DOIUrl":"https://doi.org/10.1016/j.ejro.2024.100555","url":null,"abstract":"<div><h3>Objective</h3><p>To build a radiomics signature based on MRI images and evaluate its capability for preoperatively identifying the benign and malignant Soft tissue neoplasms (STTs).</p></div><div><h3>Materials and methods</h3><p>193 patients (99 malignant STTs and 94 benign STTs) were at random segmented into a training cohort (69 malignant STTs and 65 benign STTs) and a validation cohort (30 malignant STTs and 29 benign STTs) with a portion of 7:3. Radiomics features were extracted from T2 with fat saturation and T1 with fat saturation and gadolinium contrast images. Radiomics signature was developed by the least absolute shrinkage and selection operator (LASSO) logistic regression model. The receiver that operated characteristics curve (ROC) analysis was used to assess radiomics signature's prediction performance. Inner validation was performed on an autonomous cohort that contained 40 patients.</p></div><div><h3>Results</h3><p>A radiomics was developed by a total of 16 radiomics features (5 original shape features and 11 were wavelet features) achieved favorable predictive efficacy. Malignant STTs showed higher radiomics score than benign STTs in both training cohort and validation cohort. A good prediction performance was shown by the radiomics signature in both training cohorts and validation cohorts. The training cohorts and validation cohorts had an area under curves (AUCs) of 0.885 and 0.841, respectively.</p></div><div><h3>Conclusions</h3><p>A radiomics signature based on MRI images can be a trustworthy imaging biomarker for identification of the benign and malignant STTs, which could help guide treatment strategies.</p></div>","PeriodicalId":38076,"journal":{"name":"European Journal of Radiology Open","volume":"12 ","pages":"Article 100555"},"PeriodicalIF":2.0,"publicationDate":"2024-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2352047724000108/pdfft?md5=d88795b665e21521e75a472abe69cd32&pid=1-s2.0-S2352047724000108-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140181334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Differentiation between normal and metastatic lymph nodes in patients with skin melanoma: Preliminary findings using a DIXON-based whole-body MRI approach","authors":"C. Brussaard ,&nbsp;L. Faggioni ,&nbsp;F.E. Ramirez-Barbosa ,&nbsp;M. Vervoort ,&nbsp;Y. Jansen ,&nbsp;B. Neyns ,&nbsp;J. de Mey ,&nbsp;I. Willekens ,&nbsp;D. Cioni ,&nbsp;E. Neri","doi":"10.1016/j.ejro.2024.100560","DOIUrl":"https://doi.org/10.1016/j.ejro.2024.100560","url":null,"abstract":"<div><h3>Purpose</h3><p>Metastatic melanoma lymph nodes (MMLns) might be challenging to detect on MR-WBI, as both MMLns and normal lymph nodes (NLns) can show restricted water diffusion. Our purpose is to assess the potential contribution of the DIXON sequence in differentiating MMLns from NLns.</p></div><div><h3>Material and methods</h3><p>We followed a cohort of 107 patients with stage IIIb/c and IV skin melanoma for 32 months using MR-WBI with DIXON, STIR, and DWI/ADC sequences. We compared signal intensity (SI) values of MMLns and NLns in the four series of the DIXON sequence (in/out-of-phase, fat_only, and water_only series). The fat fraction (SI_{fat_only}/SI_in) and the long:short axis ratio of MMLns were calculated. The fat fraction was also calculated in the fatty hila of NLns.</p></div><div><h3>Results</h3><p>All MMLns (8 from 7 patients) showed SI_out&gt;SI_in with a mean fat fraction of 10%. In 40 normal fatty hila (25 patients), the proportion of SI_out&gt;SI_in was 100% and mean fat fraction was 89% (p&lt;0.001 for fat fraction, Mann-Whitney U-test). In the cortex of NLns, a SI_out&gt;SI_in pattern was identified in 41/113 cases from 19/40 patients. The median long:short axis ratio in MMLns was 1.13 (range 1.03–1.25).</p></div><div><h3>Conclusion</h3><p>The combination of three features of MMLns (SI_out&gt;SI_in, low-fat fraction and rounded shape) might hold promise in differentiating NLns from MMLns in patients with skin melanoma. Further research is warranted due to the small number of MMLns in our cohort.</p></div>","PeriodicalId":38076,"journal":{"name":"European Journal of Radiology Open","volume":"12 ","pages":"Article 100560"},"PeriodicalIF":2.0,"publicationDate":"2024-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2352047724000157/pdfft?md5=34ff329133c0102b886e5261844da659&pid=1-s2.0-S2352047724000157-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140160023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fast 5-minute shoulder MRI protocol with accelerated TSE-sequences and deep learning image reconstruction for the assessment of shoulder pain at 1.5 and 3 Tesla","authors":"Judith Herrmann ,&nbsp;You-Shan Feng ,&nbsp;Sebastian Gassenmaier ,&nbsp;Jan-Peter Grunz ,&nbsp;Gregor Koerzdoerfer ,&nbsp;Andreas Lingg ,&nbsp;Haidara Almansour ,&nbsp;Dominik Nickel ,&nbsp;Ahmed E. Othman ,&nbsp;Saif Afat","doi":"10.1016/j.ejro.2024.100557","DOIUrl":"https://doi.org/10.1016/j.ejro.2024.100557","url":null,"abstract":"<div><h3>Purpose</h3><p>The objective of this study was to implement a 5-minute MRI protocol for the shoulder in routine clinical practice consisting of accelerated 2D turbo spin echo (TSE) sequences with deep learning (DL) reconstruction at 1.5 and 3 Tesla, and to compare the image quality and diagnostic performance to that of a standard 2D TSE protocol.</p></div><div><h3>Methods</h3><p>Patients undergoing shoulder MRI between October 2020 and June 2021 were prospectively enrolled. Each patient underwent two MRI examinations: first a standard, fully sampled TSE (TSE_S) protocol reconstructed with a standard reconstruction followed by a second fast, prospectively undersampled TSE protocol with a conventional parallel imaging undersampling pattern reconstructed with a DL reconstruction (TSE_DL). Image quality and visualization of anatomic structures as well as diagnostic performance with respect to shoulder lesions were assessed using a 5-point Likert-scale (5 = best). Interchangeability analysis, Wilcoxon signed-rank test and kappa statistics were performed to compare the two protocols.</p></div><div><h3>Results</h3><p>A total of 30 participants was included (mean age 50±15 years; 15 men). Overall image quality was evaluated to be superior in TSE_DL versus TSE_S (p&lt;0.001). Noise and edge sharpness were evaluated to be significantly superior in TSE_DL versus TSE_S (noise: p&lt;0.001, edge sharpness: p&lt;0.05). No difference was found concerning qualitative diagnostic confidence, assessability of anatomical structures (p&gt;0.05), and quantitative diagnostic performance for shoulder lesions when comparing the two sequences.</p></div><div><h3>Conclusions</h3><p>A fast 5-minute TSE_DL MRI protocol of the shoulder is feasible in routine clinical practice at 1.5 and 3 T, with interchangeable results concerning the diagnostic performance, allowing a reduction in scan time of more than 50% compared to the standard TSE_S protocol.</p></div>","PeriodicalId":38076,"journal":{"name":"European Journal of Radiology Open","volume":"12 ","pages":"Article 100557"},"PeriodicalIF":2.0,"publicationDate":"2024-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2352047724000121/pdfft?md5=df816e81c966501a976ddf7cd8c5db21&pid=1-s2.0-S2352047724000121-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140063039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Detection of acute pulmonary embolism using native repeated magnetic resonance imaging acquisitions under free-breathing and without respiratory or cardiac gating. A diagnostic accuracy study","authors":"Koshiar Medson ,&nbsp;Roberto Vargas Paris ,&nbsp;Alexander Fyrdahl ,&nbsp;Peder Wiklund ,&nbsp;Sven Nyren ,&nbsp;Eli Westerlund ,&nbsp;Peter Lindholm","doi":"10.1016/j.ejro.2024.100558","DOIUrl":"https://doi.org/10.1016/j.ejro.2024.100558","url":null,"abstract":"<div><h3>Objectives</h3><p>Computed tomography pulmonary angiography (CTPA) is the gold standard diagnostic method for patients with suspected pulmonary embolism (PE), but it has its drawbacks, including exposure to ionizing radiation and iodinated contrast agent. The present study aims to evaluate the diagnostic performance of our in-house developed non-contrast MRI protocol for PE diagnosis in reference to CTPA.</p></div><div><h3>Methods</h3><p>107 patients were included, all of whom underwent MRI immediately before or within 36 hours after CTPA. Additional cases examined only with MRI and a negative result were added to reach a PE prevalence of approximately 20%. The protocol was a non-contrast 2D steady-state free precession (SSFP) sequence under free-breathing, without respiratory or cardiac gating, and repeated five times to capture the vessels at different breathing/cardiac phases. The MRIs were blinded and read by two radiologists and the results were compared to CTPA.</p></div><div><h3>Results</h3><p>Of the 243 patients included, 47 were positive for PE. Readers 1 and 2 demonstrated 89% and 87% sensitivity, 100% specificity, 98% accuracy and Cohen’s kappa of 0.88 on patient level. In the per embolus comparison, readers 1 and 2 detected, 60 and 59/61 (98, 97%) proximal, 101 and 94/113 (89, 83%) segmental, and 5 and 2/32 (16, 6%) subsegmental emboli, resulting in 81 and 75% sensitivity respectively.</p></div><div><h3>Conclusion</h3><p>The repeated 2D SSFP can reliably be used for the diagnosis of acute PE at the proximal and segmental artery levels.</p></div>","PeriodicalId":38076,"journal":{"name":"European Journal of Radiology Open","volume":"12 ","pages":"Article 100558"},"PeriodicalIF":2.0,"publicationDate":"2024-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2352047724000133/pdfft?md5=cb357b41307728d929958e928f5ba78a&pid=1-s2.0-S2352047724000133-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140042373","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Imaged periductal infiltration: Diagnostic and prognostic role in intrahepatic mass-forming cholangiocarcinoma","authors":"Kenichiro Okumura ,&nbsp;Kazuto Kozaka ,&nbsp;Azusa Kitao ,&nbsp;Norihide Yoneda ,&nbsp;Takahiro Ogi ,&nbsp;Hiroko Ikeda ,&nbsp;Toshifumi Gabata ,&nbsp;Satoshi Kobayashi","doi":"10.1016/j.ejro.2024.100554","DOIUrl":"https://doi.org/10.1016/j.ejro.2024.100554","url":null,"abstract":"<div><h3>Purpose</h3><p>This study examines periductal infiltration in intrahepatic mass-forming cholangiocarcinoma (IMCC), focusing on its importance for differentiating hepatic tumors and its influence on post-surgical survival in IMCC patients.</p></div><div><h3>Methods</h3><p>Eighty-three consecutive patients with IMCC (n = 43) and liver cancer whose preoperative images showed intrahepatic bile duct dilatation adjacent to the tumor for differential diagnosis from hepatocellular carcinoma (HCC) [n = 21], metastatic liver cancer (MLC) [n = 16] and combined hepatocellular-cholangiocarcinoma (cHCC-CC) [n = 3] were enrolled. CT and MRI findings of simple bile duct compression, imaged periductal infiltration, and imaged intrabiliary growth adjacent to the main tumor were reviewed. Clinicopathological and imaging features were compared in each group. The sensitivity, specificity, and odds ratio were calculated for each imaging finding of IMCC versus the other tumor groups. Overall survival was compared between cases of IMCC with and without imaged periductal infiltration.</p></div><div><h3>Results</h3><p>Simple bile duct compression and imaged intrabiliary growth were more frequently observed in HCC than in the others (p &lt; 0.0001 and 0.040, respectively). Imaged periductal infiltration was observed more often in histopathologically confirmed large-duct type IMCC than in the small-duct type IMCC (p = 0.034). Multivariable analysis demonstrated that only imaged periductal infiltration (odds ratio, 50.67) was independently correlated with IMCC. Patients with IMCC who had imaged periductal infiltration experienced a poorer prognosis than those without imaged periductal infiltration (p = 0.0034).</p></div><div><h3>Conclusion</h3><p>Imaged periductal infiltration may serve as a significant marker for differentiating IMCC from other liver cancers. It may also have the potential to predict post-surgical outcomes in patients with IMCC.</p></div>","PeriodicalId":38076,"journal":{"name":"European Journal of Radiology Open","volume":"12 ","pages":"Article 100554"},"PeriodicalIF":2.0,"publicationDate":"2024-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2352047724000091/pdfft?md5=72e42489401997f53f1f6788c86313ad&pid=1-s2.0-S2352047724000091-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139743272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Imaging of pancreatic ductal adenocarcinoma – An update for all stages of patient management","authors":"Carlos Bilreiro ,&nbsp;Luísa Andrade ,&nbsp;Inês Santiago ,&nbsp;Rui Mateus Marques ,&nbsp;Celso Matos","doi":"10.1016/j.ejro.2024.100553","DOIUrl":"https://doi.org/10.1016/j.ejro.2024.100553","url":null,"abstract":"<div><h3>Background</h3><p>Pancreatic ductal adenocarcinoma (PDAC) is a common and lethal cancer. From diagnosis to disease staging, response to neoadjuvant therapy assessment and patient surveillance after resection, imaging plays a central role, guiding the multidisciplinary team in decision-planning.</p></div><div><h3>Review aims and findings</h3><p>This review discusses the most up-to-date imaging recommendations, typical and atypical findings, and issues related to each step of patient management. Example cases for each relevant condition are presented, and a structured report for disease staging is suggested.</p></div><div><h3>Conclusion</h3><p>Despite current issues in PDAC imaging at different stages of patient management, the radiologist is essential in the multidisciplinary team, as the conveyor of relevant imaging findings crucial for patient care.</p></div>","PeriodicalId":38076,"journal":{"name":"European Journal of Radiology Open","volume":"12 ","pages":"Article 100553"},"PeriodicalIF":2.0,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S235204772400008X/pdfft?md5=ef1bdeb6f0daa4a15e6bb77dccfec5c2&pid=1-s2.0-S235204772400008X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139709118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Radiomics and machine learning based on preoperative MRI for predicting extrahepatic metastasis in hepatocellular carcinoma patients treated with transarterial chemoembolization","authors":"Gang Peng,&nbsp;Xiaojing Cao,&nbsp;Xiaoyu Huang,&nbsp;Xiang Zhou","doi":"10.1016/j.ejro.2024.100551","DOIUrl":"https://doi.org/10.1016/j.ejro.2024.100551","url":null,"abstract":"<div><h3>Purpose</h3><p>To develop and validate a radiomics machine learning (Rad-ML) model based on preoperative MRI to predict extrahepatic metastasis (EHM) in hepatocellular carcinoma (HCC) patients receiving transarterial chemoembolization (TACE) treatment.</p></div><div><h3>Methods</h3><p>A total of 355 HCC patients who received multiple TACE procedures were split at random into a training set and a test set at a 7:3 ratio. Radiomic features were calculated from tumor and peritumor in arterial phase and portal venous phase, and were identified using intraclass correlation coefficient, maximal relevance and minimum redundancy, and least absolute shrinkage and selection operator techniques. Cox regression analysis was employed to determine the clinical model. The best-performing algorithm among eight machine learning methods was used to construct the Rad-ML model. A nomogram combining clinical and Rad-ML parameters was used to develop a combined model. Model performance was evaluated using C-index, decision curve analysis, calibration plot, and survival analysis.</p></div><div><h3>Results</h3><p>In clinical model, elevated neutrophil to lymphocyte ratio and alpha-fetoprotein were associated with faster EHM. The XGBoost-based Rad-ML model demonstrated the best predictive performance for EHM. When compared to the clinical model, both the Rad-ML model and the combination model performed better (C-indexes of 0.61, 0.85, and 0.86 in the training set, and 0.62, 0.82, and 0.83 in the test set, respectively). However, the combined model's and the Rad-ML model's prediction performance did not differ significantly. The most influential feature was peritumoral waveletHLL_firstorder_Minimum in AP, which exhibited an inverse relationship with EHM risk.</p></div><div><h3>Conclusions</h3><p>Our study suggests that the preoperative MRI-based Rad-ML model is a valuable tool to predict EHM in HCC patients treated with TACE.</p></div>","PeriodicalId":38076,"journal":{"name":"European Journal of Radiology Open","volume":"12 ","pages":"Article 100551"},"PeriodicalIF":2.0,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2352047724000066/pdfft?md5=873df11640b388fc339f27c87d09e231&pid=1-s2.0-S2352047724000066-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139694737","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}