European Journal of Radiology Open最新文献

{"title":"Neurochemical characteristics of pathological tissues in epilepsy: A preliminary 1H MR spectroscopy study at 7 T","authors":"Lijing Xin ,&nbsp;Philippe Reymond ,&nbsp;José Boto ,&nbsp;Frederic Grouiller ,&nbsp;Serge Vulliemoz ,&nbsp;Francois Lazeyras ,&nbsp;Maria Isabel Vargas","doi":"10.1016/j.ejro.2025.100640","DOIUrl":"10.1016/j.ejro.2025.100640","url":null,"abstract":"<div><h3>Background and purpose</h3><div>This study aims to evaluate the neurochemical characteristics of pathological tissues by ¹H magnetic resonance spectroscopy (MRS) in patient with pharmaco-resistant focal epilepsy at 7 T.</div></div><div><h3>Methods</h3><div>Thirteen patients with drug-resistant epilepsy and focal seizure successfully underwent MRS examinations at 7 T MRI scanners. ¹H MR spectra were acquired from two voxels (lesion side and contralateral side) using the semi-adiabatic spin-echo full-intensity localized spectroscopy (sSPECIAL) sequence. Metabolite levels were quantified from LCModel and reported as to total creatine ratio.</div></div><div><h3>Results</h3><div>In comparison to the contralateral side, lesions in focal cortical dysplasia demonstrated significantly reduced macromolecule and N-acetyl aspartate, significantly increased total choline and glycine + myo-inositol, and a distinct reduction trend of glutamate.</div></div><div><h3>Conclusions</h3><div>We conclude that performing MRS at high magnetic field offered the potential to reveal metabolic alterations in epilepsy lesions that may help to further understand the underlying pathophysiology of the disease.</div></div>","PeriodicalId":38076,"journal":{"name":"European Journal of Radiology Open","volume":"14 ","pages":"Article 100640"},"PeriodicalIF":1.8,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143510250","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":"Potential of spectral imaging generated by contrast-enhanced dual-energy CT for lung cancer histopathological classification – A preliminary study","authors":"Tomoaki Sasaki ,&nbsp;Shioto Oda ,&nbsp;Hirofumi Kuno ,&nbsp;Takashi Hiyama ,&nbsp;Tetsuro Taki ,&nbsp;Shugo Takahashi ,&nbsp;Genichiro Ishii ,&nbsp;Masahiro Tsuboi ,&nbsp;Tatsushi Kobayashi","doi":"10.1016/j.ejro.2024.100628","DOIUrl":"10.1016/j.ejro.2024.100628","url":null,"abstract":"<div><h3>Purpose</h3><div>The potential of spectral images, particularly electron density and effective Z-images, generated by dual-energy computed tomography (DECT), for the histopathologic classification of lung cancer remains unclear. This study aimed to explore which imaging factors could better reflect the histopathological status of lung cancer.</div></div><div><h3>Method</h3><div>The data of 31 patients who underwent rapid kV-switching DECT and subsequently underwent surgery for lung cancer were analyzed. Virtual monochromatic images (VMIs) of 35 keV and 70 keV, virtual non-contrast images (VNC), iodine content images, electron density images, and effective Z-images were reconstructed for the following analyses: 1) correlation with the ratio of the lepidic growth pattern in the whole tumor and 2) comparisons with the four histological groups: well-differentiated adenocarcinoma (WDA), moderately differentiated adenocarcinoma (MDA), and poorly differentiated adenocarcinoma (PDA) and squamous cell carcinoma (SCC).</div></div><div><h3>Results</h3><div>There were significant correlations between the ratio of lepidic growth pattern and 70 keV, 35 keV, VNC, and electron density images (r = -0.861, P &lt; 0.001; r = -0.791, P &lt; 0.001; r = -0.869, P &lt; 0.001; r = -0.871, P &lt; 0.001, respectively). There were significant differences in the 70 keV, 35 keV, VNC, and electron density images in the Kruskal-Wallis test (P = 0.001, P = 0.006, P &lt; 0.001, P &lt; 0.001, respectively). However, there were no significant differences in iodine content or effective Z-images.</div></div><div><h3>Conclusions</h3><div>Electron density images generated by spectral imaging may be better indicators of the histopathological classification of lung cancer.</div></div><div><h3>Clinical relevance</h3><div>Electron density images may have an added value in predicting the histopathological classification of lung cancer.</div></div><div><h3>Key points</h3><div><ul><li><span>•</span><span><div>The role of electron density and effective Z-images obtained using dual-energy CT in lung cancer classification remains unclear.</div></span></li></ul><ul><li><span>•</span><span><div>Electron density and virtual non-contrast images correlated better with the ratio of lepidic growth patterns in lung cancer.</div></span></li></ul></div><div><ul><li><span>•</span><span><div>Electron density imaging is a better indicator of the histopathological classification of lung cancer than effective Z-imaging.</div></span></li></ul></div></div>","PeriodicalId":38076,"journal":{"name":"European Journal of Radiology Open","volume":"14 ","pages":"Article 100628"},"PeriodicalIF":1.8,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11732575/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142985023","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":"Enhancing detection of previously missed non-palpable breast carcinomas through artificial intelligence","authors":"Sahar Mansour ,&nbsp;Rasha Kamal ,&nbsp;Samar Ahmed Hussein ,&nbsp;Mostafa Emara ,&nbsp;Yomna Kassab ,&nbsp;Sherif Nasser Taha ,&nbsp;Mohammed Mohammed Mohammed Gomaa","doi":"10.1016/j.ejro.2024.100629","DOIUrl":"10.1016/j.ejro.2024.100629","url":null,"abstract":"<div><h3>Purpose</h3><div>To investigate the impact of artificial intelligence (AI) reading digital mammograms in increasing the chance of detecting missed breast cancer, by studying the AI- flagged early morphology indictors, overlooked by the radiologist, and correlating them with the missed cancer pathology types.</div></div><div><h3>Methods and materials</h3><div>Mammograms done in 2020–2023, presenting breast carcinomas (n = 1998), were analyzed in concordance with the prior one year’s result (2019–2022) assumed negative or benign. Present mammograms reviewed for the descriptors: asymmetry, distortion, mass, and microcalcifications. The AI presented abnormalities by overlaying color hue and scoring percentage for the degree of suspicion of malignancy.</div></div><div><h3>Results</h3><div>Prior mammogram with AI marking compromised 54 % (n = 555), and in the present mammograms, AI targeted 904 (88 %) carcinomas. The descriptor proportion of “asymmetry” was the common presentation of missed breast carcinoma (64.1 %) in the prior mammograms and the highest detection rate for AI was presented by “distortion” (100 %) followed by “grouped microcalcifications” (80 %). AI performance to predict malignancy in previously assigned negative or benign mammograms showed sensitivity of 73.4 %, specificity of 89 %, and accuracy of 78.4 %.</div></div><div><h3>Conclusions</h3><div>Reading mammograms with AI significantly enhances the detection of early cancerous changes, particularly in dense breast tissues. The AI's detection rate does not correlate with specific pathological types of breast cancer, highlighting its broad utility. Subtle mammographic changes in postmenopausal women, not corroborated by ultrasound but marked by AI, warrant further evaluation by advanced applications of digital mammograms and close interval AI-reading mammogram follow up to minimize the potential for missed breast carcinoma.</div></div>","PeriodicalId":38076,"journal":{"name":"European Journal of Radiology Open","volume":"14 ","pages":"Article 100629"},"PeriodicalIF":1.8,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11732583/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142985004","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":"Comparison of objective quality parameters between CTA and CTP angiographic reconstructions in ischemic stroke patients","authors":"M.M.Q. Robbe ,&nbsp;F.M.E. Pinckaers ,&nbsp;A.H.H. Dirx ,&nbsp;P.H.M. Voorter ,&nbsp;W.H. van Zwam ,&nbsp;B.A.J.M. Wagemans ,&nbsp;A.A. Postma","doi":"10.1016/j.ejro.2025.100634","DOIUrl":"10.1016/j.ejro.2025.100634","url":null,"abstract":"<div><h3>Introduction</h3><div>CT perfusion-angiographic reconstructions (CTP-AR) may be used for occlusion detection in ischemic stroke patients. Objective image quality of CTP-AR needs to be evaluated before implementation as it may affect occlusion detection. In this study, we aimed to assess the objective image quality, by means of contrast to noise ratio (CNR) and signal to noise ratio (SNR), of both CT-angiography and CT perfusion-angiographic reconstructions (CTP-AR).</div></div><div><h3>Methods</h3><div>Patients with an ischemic stroke between September 2020 up to and including September 2021 who underwent both CT perfusion and CTA at baseline were included. CTP-AR was reconstructed from 1 mm CTP series at the peak arterial enhancement. Per patient, five ipsilateral and five contralateral regions of interest (ROI) were placed. Attenuation and standard deviation per ROI were used to calculate CNR and SNR. Differences in CNR and SNR between CTA and CTP-AR were tested using paired-sample t-tests.</div></div><div><h3>Results</h3><div>In total, 195/239 patients were included. Both on the ipsilateral and contralateral side, the CNR was significantly higher on CTP-AR compared to CTA (<em>P</em> &lt; .001 and <em>P</em> &lt; .001, respectively). The SNR measured in the M1 was not significantly different between CTA and CTP-AR (ipsilateral: <em>P</em> = .68; contralateral: <em>P</em> = .63). The SNR, both on the ipsilateral and contralateral side, was significantly lower on CTP-AR compared to CTA in all parenchyma regions; the caudate nucleus (<em>P</em> &lt; .001), lentiform nucleus (<em>P</em> &lt; .001), centrum semiovale (<em>P</em> &lt; .001), and the parenchyma adjacent to the M1 (<em>P</em> &lt; .001).</div></div><div><h3>Conclusion</h3><div>Image quality measures of CTP-derived angiographic reconstructions indicate higher CNR compared to CTA, but a lower SNR in non-angiographic structures.</div></div>","PeriodicalId":38076,"journal":{"name":"European Journal of Radiology Open","volume":"14 ","pages":"Article 100634"},"PeriodicalIF":1.8,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11782948/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143081532","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":"Assessment of bone-implant interface image quality for in-vivo acetabular cup implants using photon-counting detector CT: Impact of tin pre-filtration","authors":"Ronald Booij ,&nbsp;Pauline de Klerk ,&nbsp;Erik Tesselaar ,&nbsp;Mischa Woisetschläger ,&nbsp;Anne Brandts ,&nbsp;Mariëlle Olsthoorn ,&nbsp;Jakob van Oldenrijk ,&nbsp;Koen Bos ,&nbsp;Jörg Schilcher ,&nbsp;Edwin H.G. Oei","doi":"10.1016/j.ejro.2025.100646","DOIUrl":"10.1016/j.ejro.2025.100646","url":null,"abstract":"<div><h3>Purpose</h3><div>To assess the image quality of the bone-implant interface of acetabular cup implants using photon-counting detector (PCD) CT with and without tin pre-filtration in a clinical setting.</div></div><div><h3>Methods and materials</h3><div>Twenty-four patients underwent PCD-CT imaging of their total hip replacement (THR). Twelve patients were scanned using 140 kVp and twelve patients using 140 kVp with tin pre-filtration (Sn140 kVp). All scans were acquired with a collimation of 120 × 0.2 mm. The acquired data was reconstructed with different slice thickness (0.2 mm – 0.6 mm) and kernel (Qr) strengths (56, 76, 89) with and without metal artifact reduction (iMAR). Two observers assessed the image quality of the bone-implant interface for the cup based on four image quality criteria. Bone contrast, contrast-to-noise ratio (CNR) of bone/fat and cortical sharpness was performed as quantitative measures.</div></div><div><h3>Results</h3><div>Image quality was rated highest for 0.2 mm slice thickness and Qr89 kernel across all four criteria for both the 140 kVp and Sn140 kVp by both observers, with a slight preference for the Sn140kVp over the 140 kVp. In all cases and for all image criteria the 0.2 mm/Qr89 was preferred above the Qr76 and Qr56/iMAR for both the 140 kVp and Sn140 kVp by both observers. Quantitative measurements confirmed significantly improved bone contrast as well as cortical sharpness using 0.2 mm/Qr89. Tin pre-filtration did not affect the CNR at 0.2 mm/Qr89 but tended to decrease cortical sharpness.</div></div><div><h3>Conclusions</h3><div>High resolution PCD-CT allows for in-vivo assessment of the bone-implant interface in patients with THR and is preferably acquired with tin pre-filtration.</div></div>","PeriodicalId":38076,"journal":{"name":"European Journal of Radiology Open","volume":"14 ","pages":"Article 100646"},"PeriodicalIF":1.8,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143705470","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":"Implementation of an automated breast ultrasound system in an academic radiology department: Lesson learned in the first three years","authors":"Elizabet Nikolova ,&nbsp;Julia Weber ,&nbsp;Giulia Zanetti ,&nbsp;Jann Wieler ,&nbsp;Thomas Frauenfelder ,&nbsp;Andreas Boss ,&nbsp;Magda Marcon","doi":"10.1016/j.ejro.2025.100645","DOIUrl":"10.1016/j.ejro.2025.100645","url":null,"abstract":"<div><h3>Purpose</h3><div>To evaluate the diagnostic performance of an ABUS in an academic radiology department over the first three years after its implementation.</div></div><div><h3>Methods</h3><div>In this retrospective study women undergoing ABUS examination for screening and diagnostic purposes between October 2015–2018 were included in case of sufficient follow-up and established diagnosis. Women underwent ABUS + /- mammography in the same day. BI-RADS 1/ 2 cases with cancer diagnosis during follow-up and already visible in the previous exam were considered false negative (FN). BI-RADS 3/4 cases proved benign were considered false positive (FP). FP and number of additional targeted HHUS (addHHUS) were compared over the three years.</div></div><div><h3>Results</h3><div>1248 women (51.2 ± 11.2 years) were included: 956 (77.3 %) underwent ABUS+mammography; 283 (29.3 %) ABUS only. Mean follow-up ± SD was 53.5 ± 17.8 month. Thirty-three malignancies were present in the investigated exams. In 28/ 33 cases (84.8 %), lesions were classified BI-RADS 4 or 5 and one (3.6 %) lesion was only visible in ABUS. 3/33 malignancies (9 %) were classified BI-RADS 3. 2/33 (6 %) were visible in mammography and ABUS but not recognized and classified BI-RADS 2 (FN rate 6.1 %). Retrospectively, both cases had “retraction phenomenon sign” in the coronal images. BI-RADS 3 and BI-RADS 4 without a malignancy were attributed to 172 (13.8 %) and 14 (1.1 %) cases, respectively corresponding to a FP rate of 15.3 %. The number of FP as well as the number of addHHUS significantly reduced over the three years (both p &lt; 0.001).</div></div><div><h3>Conclusions</h3><div>After the implementation of an ABUS FP cases and addHHUS reduce over the time.</div></div>","PeriodicalId":38076,"journal":{"name":"European Journal of Radiology Open","volume":"14 ","pages":"Article 100645"},"PeriodicalIF":1.8,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143687569","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":"Habitat imaging radiomics increases the accuracy of a nomogram for predicting Ki-67-positivity in laryngeal squamous cell carcinoma","authors":"Yumeng Dong ,&nbsp;Siyu Yang ,&nbsp;Xiaoke Jing ,&nbsp;Xiaoqing Hu ,&nbsp;Yun Liang ,&nbsp;Jun Wang ,&nbsp;Gang Liang ,&nbsp;Sheng He ,&nbsp;Zengyu Jiang","doi":"10.1016/j.ejro.2025.100659","DOIUrl":"10.1016/j.ejro.2025.100659","url":null,"abstract":"<div><h3>Purpose</h3><div>To investigate the value of applying habitat imaging (HI) radiomics on venous-phase computed tomography (CT) images from laryngeal squamous cell carcinoma (LSCC) patients, as part of a nomogram to predict Ki-67 positivity, an indicator of poorer LSCC prognoses.</div></div><div><h3>Methods</h3><div>Clinical and CT imaging data from 128 LSCC patients, divided into training (89) and testing (39) groups, were analyzed. Conventional and HI radiomics features were extracted from enhanced venous phase images, either from the entire tumor (conventional) or 3 sub-regions (HI). Radiomics models were established, based on 5 machine learning algorithms, while clinical characteristics were analyzed by both uni- and multi-variate logistic regression analyses for their associations with Ki-67 positivity. Afterwards, a predictive nomogram was constructed by combining clinical characteristics, conventional radiomics, and HI radiomics.</div></div><div><h3>Results</h3><div>The only clinical characteristic strongly predictive for Ki-67-positivity is the degree of differentiation (low/medium vs. high). Additionally, HI radiomics was significantly more accurate than conventional for predicting Ki-67-positivity. The most accurate model, though, was the predictive nomogram, with areas under the curve of 0.945 (training) and 0.871 (testing), which was significantly higher than for clinical characteristics, conventional radiomics and HI radiomics models alone; it also had the highest net benefit, and thus greatest clinical utility under decision curve analysis.</div></div><div><h3>Conclusions</h3><div>HI radiomics features were more accurate for predicting Ki-67-positivity in LSCC than conventional radiomics. However, the combination of those features with conventional radiomics and the degree of differentiation in a predictive nomogram yields the most accurate model for Ki-67-positivity.</div></div>","PeriodicalId":38076,"journal":{"name":"European Journal of Radiology Open","volume":"14 ","pages":"Article 100659"},"PeriodicalIF":1.8,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144071616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Real-time shear wave elastography in measuring normal ileocolon intestinal wall stiffness using colonoscopy as reference: A single-center research","authors":"Shuo Wang ,&nbsp;Shihui Li ,&nbsp;Shuling Chen ,&nbsp;Manying Li ,&nbsp;Xiaoyan Xie ,&nbsp;Mao Ren ,&nbsp;Yujun Chen","doi":"10.1016/j.ejro.2024.100632","DOIUrl":"10.1016/j.ejro.2024.100632","url":null,"abstract":"<div><h3>Purpose</h3><div>To investigate the feasibility of real-time shear wave elastography (SWE) in evaluating intestinal wall stiffness, and to establish the threshold SWE value of normal intestinal wall and explore the influencing factors of intestinal SWE.</div></div><div><h3>Method</h3><div>659 subjects who underwent intestinal SWE and colonoscopy were retrospectively enrolled. The wall elasticity of colonoscopy-confirmed normal/abnormal intestinal segment was measured by transabdominal SWE. Measurement reliability was evaluated by the intraclass correlation coefficient (ICC). The threshold value of SWE in differentiating normal and abnormal intestine was determined using ROC curve analysis with the largest Youden index, and the diagnostic performance of this threshold was evaluated. We explored the effects of gender, age, depth and type of the targeted intestinal segment on the intestinal wall elasticity by <em>t</em> test and logistic linear regression analysis.</div></div><div><h3>Results</h3><div>The technical success rate of SWE examination is 95.3 % (628/659). The mean SWE value of normal intestinal walls is (5.45 ± 1.34) kPa, which was significantly lower than that of abnormal ones (15.38 kPa±7.22, <em>P</em> &lt; 0.001). Using 8.1 kPa as the threshold， the sensitivity and specificity were 93.5 % and 96.0 % with an AUC of 94.8 %. The overall ICC for SWE measurements was 0.933. Gender (ß=0.278, <em>P</em> = 0.013), depth (ß=0.220, <em>P</em> = 0.043) and type of the targeted segment (ß=0.522, <em>P</em> &lt; 0.001) was associated with the SWE value of intestinal wall, but age was not (ß=0.050, <em>P</em> = 0.484).</div></div><div><h3>Conclusions</h3><div>SWE is feasible in evaluating the stiffness of intestinal wall with high reliability. The SWE threshold value differentiating normal intestinal wall and abnormal intestinal wall is 8.1 kPa.</div></div>","PeriodicalId":38076,"journal":{"name":"European Journal of Radiology Open","volume":"14 ","pages":"Article 100632"},"PeriodicalIF":1.8,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143100623","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":"MRI and CT radiomics for the diagnosis of acute pancreatitis","authors":"Caterina Tartari ,&nbsp;Fabio Porões ,&nbsp;Sabine Schmidt ,&nbsp;Daniel Abler ,&nbsp;Thomas Vetterli ,&nbsp;Adrien Depeursinge ,&nbsp;Clarisse Dromain ,&nbsp;Naïk Vietti Violi ,&nbsp;Mario Jreige","doi":"10.1016/j.ejro.2025.100636","DOIUrl":"10.1016/j.ejro.2025.100636","url":null,"abstract":"<div><h3>Purpose</h3><div>To evaluate the single and combined diagnostic performances of CT and MRI radiomics for diagnosis of acute pancreatitis (AP).</div></div><div><h3>Materials and methods</h3><div>We prospectively enrolled 78 patients (mean age 55.7 ± 17 years, 48.7 % male) diagnosed with AP between 2020 and 2022. Patients underwent contrast-enhanced CT (CECT) within 48–72 h of symptoms and MRI ≤ 24 h after CECT. The entire pancreas was manually segmented tridimensionally by two operators on portal venous phase (PVP) CECT images, T2-weighted imaging (WI) MR sequence and non-enhanced and PVP T1-WI MR sequences. A matched control group (n = 77) with normal pancreas was used. Dataset was randomly split into training and test, and various machine learning algorithms were compared. Receiver operating curve analysis was performed.</div></div><div><h3>Results</h3><div>The T2WI model exhibited significantly better diagnostic performance than CECT and non-enhanced and venous T1WI, with sensitivity, specificity and AUC of 73.3 % (95 % CI: 71.5–74.7), 80.1 % (78.2–83.2), and 0.834 (0.819–0.844) for T2WI (p = 0.001), 74.4 % (71.5–76.4), 58.7 % (56.3–61.1), and 0.654 (0.630–0.677) for non-enhanced T1WI, 62.1 % (60.1–64.2), 78.7 % (77.1–81), and 0.787 (0.771–0.810) for venous T1WI, and 66.4 % (64.8–50.9), 48.4 % (46–50.9), and 0.610 (0.586–0.626) for CECT, respectively.</div><div>The combination of T2WI with CECT enhanced diagnostic performance compared to T2WI, achieving sensitivity, specificity and AUC of 81.4 % (80–80.3), 78.1 % (75.9–80.2), and 0.911 (0.902–0.920) (p = 0.001).</div></div><div><h3>Conclusion</h3><div>The MRI radiomics outperformed the CT radiomics model to detect diagnosis of AP and the combination of MRI with CECT showed better performance than single models. The translation of radiomics into clinical practice may improve detection of AP, particularly MRI radiomics.</div></div>","PeriodicalId":38076,"journal":{"name":"European Journal of Radiology Open","volume":"14 ","pages":"Article 100636"},"PeriodicalIF":1.8,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143100767","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":"Peroneus brevis split tear – A challenging diagnosis: A pictorial review of magnetic resonance and ultrasound imaging – Part 2: Imaging with magnetic resonance and ultrasound","authors":"Katarzyna Bokwa-Dąbrowska ,&nbsp;Dan Mocanu ,&nbsp;Isaac Romanus ,&nbsp;Rafał Zych ,&nbsp;Michael Huuskonen ,&nbsp;Pawel Szaro","doi":"10.1016/j.ejro.2024.100627","DOIUrl":"10.1016/j.ejro.2024.100627","url":null,"abstract":"<div><div>Peroneal tendon pathology is common among physically active individuals, with tenosynovitis, tendon subluxation, split tears and rupture. However, diagnosing these conditions, particularly peroneus brevis split tears, is clinically and radiologically challenging. Magnetic resonance imaging (MRI) and ultrasound (US) can sometimes miss split tears. A significant portion of peroneus split tears develops on a background of tendinopathy. The presence of tenosynovitis, changes in tendon shape, and multiple subtendons can indicate a complete multifragmenting split tear. A defect on the surface of the tendon may indicate a partial-thickness split tear, commonly referred to as the \"cleft sign.\" Peroneus subluxation is particularly likely when the superior peroneal retinaculum is torn. Given the subtlety of clinical symptoms, radiological evaluation is essential. Dynamic US assessment is especially valuable for detecting instability and split tears. This pictorial review presents the imaging spectrum of the most common pathologies of the peroneus brevis tendon on US and MRI.</div></div>","PeriodicalId":38076,"journal":{"name":"European Journal of Radiology Open","volume":"14 ","pages":"Article 100627"},"PeriodicalIF":1.8,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11733185/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143013312","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}