Research in diagnostic and interventional imaging最新文献

{"title":"Machine learning quantification of hepatobiliary lesion-to-liver contrast enhancement ratio in benign hepatocellular tumors: a feasibility study","authors":"Édouard Reizine,&nbsp;Salim Jazzar,&nbsp;Sonia Colombo,&nbsp;Giuseppina Pierro,&nbsp;Silvia Gonella,&nbsp;Deborah Fazzini,&nbsp;Marco Ali,&nbsp;Fabio Tedoldi,&nbsp;Giovanni Valbusa,&nbsp;Frédéric Pigneur,&nbsp;Sébastien Mulé,&nbsp;Alain Luciani","doi":"10.1016/j.redii.2026.100066","DOIUrl":"10.1016/j.redii.2026.100066","url":null,"abstract":"<div><h3>Objectives</h3><div>To evaluate the feasibility of a machine learning derived semi-automatic quantification of the lesion-to-liver contrast enhancement ratio following hepatobiliary contrast agent injection for the characterization of benign hepatocellular tumors.</div></div><div><h3>Materials and methods</h3><div>Precontrast, arterial, portal venous and hepatobiliary phases of liver magnetic resonance images were coregistered, then the liver was automatically segmented by a pretrained U-Net network. Each lesion was then manually segmented on the arterial phase, while different regions of interest were automatically placed in the liver parenchyma (ring shape, circular). Two-dimensional and three-dimensional lesion-to-liver contrast enhancement ratios were automatically calculated using each different regions of interest and the whole liver volume. All the calculated lesion-to-liver contrast enhancement ratio were compared to a manual lesion-to-liver contrast enhancement ratio and correlated to organic-anion-transporting polypeptide expression. Moreover, the ability of each calculated lesion-to-liver contrast enhancement ratio in classifying the two lesions was investigated.</div></div><div><h3>Results</h3><div>A total of 23 hepatocellular benign tumors were analyzed including nine focal nodular hyperplasias (39 %) and 14 hepatocellular adenomas (61 %). The correlation between each calculated lesion-to-liver contrast enhancement ratio and the manual value was strong (Pearson coefficient ranging between 0.69 and 0.87). Regarding correlation with organic-anion-transporting polypeptide expression, the highest correlation values was obtained with two-dimensional ring region of interest lesion-to-liver contrast enhancement ratio (Pearson coefficient = 0.56). All lesion-to-liver contrast enhancement ratio values were effective in classifying between focal nodular hyperplasia and hepatocellular adenoma, with the best results in terms of inverse Fisher discriminant ratio obtained with ring-shaped region of interest (0.34 2D, 0.28 3D) and uniform liver region of interest (0.28 2D, 0.37 3D).</div></div><div><h3>Conclusion</h3><div>Semi-automatic quantification of the hepatobiliary lesion-to-liver contrast enhancement ratio both using a two- or a three-dimensional approach is a promising tool for benign hepatocellular characterization.</div></div>","PeriodicalId":74676,"journal":{"name":"Research in diagnostic and interventional imaging","volume":"17 ","pages":"Article 100066"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149155550","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":"CT-scan examination of sacred Vodun objects (Benin): between diagnosis and research ethics","authors":"Philippe Charlier,&nbsp;Didier N’Dah,&nbsp;Isabelle Huynh,&nbsp;Constant Glele,&nbsp;Franck Hounlelou,&nbsp;Vincent Hounlelou,&nbsp;Luc Brun,&nbsp;Dodji Amouzouvi","doi":"10.1016/j.redii.2026.100065","DOIUrl":"10.1016/j.redii.2026.100065","url":null,"abstract":"","PeriodicalId":74676,"journal":{"name":"Research in diagnostic and interventional imaging","volume":"17 ","pages":"Article 100065"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148916488","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":"Displacement of intraorbital ferromagnetic foreign bodies induced by magnetic resonance imaging: Quantification using an animal model.","authors":"Camille Cathelineau, Marwane Ghemame, Antoine Le Boëdec, Béatrice Carsin-Nicol, Hervé Saint-Jalmes, Pierre-Antoine Éliat, Frédéric Mouriaux, Jean-Christophe Ferré","doi":"10.1016/j.redii.2025.100064","DOIUrl":"10.1016/j.redii.2025.100064","url":null,"abstract":"<p><strong>Rationale and objectives: </strong>The presence of ferromagnetic foreign bodies in the intraorbital area, eyelids, or intraorbital fat of an examined subject represents a contraindication to magnetic resonance imaging (MRI). We sought to measure the displacement of one or two intraocular and intraorbital ferromagnetic foreign bodies in ex vivo porcine heads following 1.5 T MRI scan compared to 5-min walk test.</p><p><strong>Materials and methods: </strong>In this ex-vivo controlled laboratory study, a total of 48 1-, 2-, and 4-mm steel balls were surgically implanted into suprachoroidal, intraorbital fat, intrapalpebral, and intravitreal locations of 36 fresh porcine heads. Ferromagnetic foreign bodies displacement was measured by comparing computed tomography scan before and after both a 5-min walk test to simulate handling-related movement and 1.5 T MRI scan. Comparison of groups was performed using the non-parametric Mann-Whitney-Wilcoxon test.</p><p><strong>Results: </strong>Global median displacement after 5-min walk test was 0.8 mm. Compared to the control group, the ferromagnetic foreign bodies displacement after MRI was significant for the suprachoroidal location with single ferromagnetic foreign body (2.3 mm, <i>p</i> = 0.0282), and for the intravitreal location with single ferromagnetic foreign body (4.5 mm, <i>p</i> = 0.0282) and double ferromagnetic foreign bodies (5.0 mm, <i>p</i> = 0.0282). Compared to the control group, ferromagnetic foreign body displacement after MRI was significant for the double 2-mm ferromagnetic foreign bodies (2.2 mm, <i>p</i> = 0.0130), single 4-mm ferromagnetic foreign body (4.9 mm, <i>p</i> = 0.0107), and double 4-mm ferromagnetic foreign bodies (9.0 mm, <i>p</i> = 0.0084).</p><p><strong>Conclusion: </strong>Ferromagnetic foreign body displacements after 1.5 T magnetic field exposition were not significant for extraocular intrapalpebral and intraorbital fat locations. Neither were there significant displacements for 1-mm ferromagnetic foreign body, irrespective of the location. On the other hand, the presence of two objects increased the displacement of 2- and 4-mm ferromagnetic foreign bodies.</p>","PeriodicalId":74676,"journal":{"name":"Research in diagnostic and interventional imaging","volume":"16 ","pages":"100064"},"PeriodicalIF":0.0,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12830308/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146055307","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 knee MRI bone marrow lesion detection with artificial intelligence: An external validation study","authors":"Kevin Maarek ,&nbsp;Philippine Cordelle ,&nbsp;Tom Vesoul ,&nbsp;Pascal Zille ,&nbsp;Gaspard d'Assignies ,&nbsp;Antoine Feydy ,&nbsp;Guillaume Herpe","doi":"10.1016/j.redii.2025.100063","DOIUrl":"10.1016/j.redii.2025.100063","url":null,"abstract":"<div><h3>Background</h3><div>Magnetic resonance imaging (MRI) is a sensitive imaging modality for identifying knee bone marrow edema, a significant biomarker in osteoarthritis and injury assessment. The precision of bone marrow edema detection is contingent upon the radiologist's expertise, and segmentation efficiency demands substantial time.</div></div><div><h3>Purpose</h3><div>This study evaluated artificial intelligence's (AI) impact on enhancing general radiologists' diagnostic accuracy for bone marrow edema detection in knee MRI.</div></div><div><h3>Materials and methods</h3><div>A multicenter, multireader, multicase methodology was used in this retrospective diagnostic study, which relied on an external dataset of 198 examinations. Mean age was 46 years with a standard deviation (SD) of 15.8 years and a female/male ratio of 49 %/51 %.</div><div>An AI algorithm from the AI solution Keros, comprising three orientation-specific 3D-UNet models, was deployed for bone marrow edema segmentation on T2/proton density with fat suppression sequences.</div><div>The ground truth was set by expert musculoskeletal radiologists.</div><div>The purpose was to externally validate the AI algorithm and compare the performance and speed of bone marrow edema identification by less experienced radiologists when using the algorithm versus not using it</div></div><div><h3>Results</h3><div>A total of 184 patients were included. With AI, readers’ sensitivity for bone marrow edema detection significantly increased by 6.1 % from 79.3 % without AI (95 % confidence interval [95 % CI]: 77.2–80.3 %) to 85.4 % (95 % CI: 84–86.2 %) with AI (<em>p</em> = 0). Specificity significantly increased by 5 % with AI assistance, reaching 93.9 % (95 % CI: 93.7–94.6 %) from 88.9 % (95 % CI: 88.6–89.4 %) (<em>p</em> = 0). Reading times were reduced by 42 % (0.66 min per exam, <em>p</em> = 3.81e-41).</div></div><div><h3>Conclusion</h3><div>AI significantly increased the sensitivity and specificity of bone marrow edema detection for general radiologists and shortened the reading process. AI-assisted detection of bone edema in the knee also opens up new perspectives for the longitudinal monitoring of patients with knee osteoarthritis.</div></div>","PeriodicalId":74676,"journal":{"name":"Research in diagnostic and interventional imaging","volume":"15 ","pages":"Article 100063"},"PeriodicalIF":0.0,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144829557","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":"Deep learning reconstruction in biparametric prostate MRI: Impact on qualitative and radiomics analyses","authors":"Jérémy Dana ,&nbsp;Evan McNabb ,&nbsp;Juan Castro ,&nbsp;Ibtisam Al-Qanoobi ,&nbsp;Yoshie Omiya ,&nbsp;Kenny Ah-Lan ,&nbsp;Véronique Fortier ,&nbsp;Giovanni Artho ,&nbsp;Caroline Reinhold ,&nbsp;Simon Gauvin","doi":"10.1016/j.redii.2025.100059","DOIUrl":"10.1016/j.redii.2025.100059","url":null,"abstract":"<div><h3>Objective</h3><div>To assess the impact of a commercially available deep learning reconstruction (DLR) algorithm on qualitative and radiomics analyses in prostate MRI.</div></div><div><h3>Methods</h3><div>This single-centre retrospective cohort included 25 consecutive patients who underwent a prostate MRI (1.5 T) in 2022. T2-weighted (T2WI), diffusion-weighted (DWI; b = 50, 1000, extrapolated 2000 s/mm²) and apparent diffusion coefficient (ADC) images were reconstructed using DLR and standard (non-DLR) techniques. The two sets were mixed and blind-reviewed independently by six radiologists. Images were qualitatively scored according to PI-QUAL score, overall image quality, diagnostic confidence, anatomical conspicuity, artifact, and noise. Transition and peripheral zones were segmented and radiomics features extracted from region-of-interests using Pyradiomics package. Qualitative criteria and radiomics were compared using a pairwise Wilcoxon signed-rank test.</div></div><div><h3>Results</h3><div>PI-QUAL score was not significantly different (<em>p</em> = 0.32). Overall image quality was not significantly different (<em>p</em> = 0.21 on T2WI and 0.56 on DWI/ADC). Noise was lower on DLR images for T2WI (<em>p</em> &lt; 0.01) and DWI/ADC (<em>p</em> = 0.04). Diagnostic confidence in excluding clinically significant cancer (PI-RADS ≥ 3) in the transition zone was lower with DLR images (p = 0.02). In the transition zone, 89/93 (96 %) of the radiomics features were significantly different between non-DLR and DLR images on T2WI, 68/93 (73 %) on DWI b-2000 s/mm², and 55/93 (59 %) on ADC images. In the peripheral zone, 91/93 (98 %) were significantly different on T2WI, 50/93 (54 %) on DWI b-2000 s/mm², and 70/93 (75 %) on ADC images.</div></div><div><h3>Conclusion</h3><div>Radiomics features were significantly different on DLR images which should encourage caution for clinical and research purposes. DLR algorithm decreases noise while preserving overall image quality.</div></div>","PeriodicalId":74676,"journal":{"name":"Research in diagnostic and interventional imaging","volume":"14 ","pages":"Article 100059"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144116124","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":"Hydrodissection in microwave ablation: the effectiveness of 0.9 % NaCl versus 5 % dextrose in an ex vivo experimental set-up","authors":"Gonnie C.M. van Erp ,&nbsp;Pim Hendriks ,&nbsp;Sophie A. van den Hurk ,&nbsp;Hannah F. Winder ,&nbsp;Willemijn P.M. Scholtes ,&nbsp;Lara B.E.M. De Bats ,&nbsp;Jouke Dijkstra ,&nbsp;Mark C. Burgmans","doi":"10.1016/j.redii.2025.100060","DOIUrl":"10.1016/j.redii.2025.100060","url":null,"abstract":"<div><h3>Purpose</h3><div>To compare the effectiveness of hydrodissection using 0.9 % NaCl (saline) or 5 % dextrose in water during microwave ablation at different hydrodissection fluid thicknesses, in an ex vivo experimental set-up.</div></div><div><h3>Methods</h3><div>Two porcine liver parts were placed in a plastic container simulating a superficial liver ablation with adjacent tissue. The space between the livers was filled with either saline or 5 % dextrose in water. Microwave ablation was performed 4 min at 100 W, at 15 mm from the liver surface. Three thermocouples were used to determine the heat propagation: (1) between the microwave ablation antenna and liver surface; (2) 5 mm from the surface of the adjacent tissue; (3) 15 mm from the surface of the adjacent tissue. Forty experiments were performed using hydrodissection fluid thicknesses ranging from 1 to 10 mm. The maximum temperature increase for each thermocouple was determined. A Spearman’s correlation analysis assessed the relationship between the hydrodissection fluid thickness (in millimeters) and the temperature increase (in degrees Celsius) per fluid.</div></div><div><h3>Results</h3><div>At 5 mm within the adjacent tissue, use of 1 mm hydrodissection fluid thickness with 5 % dextrose in water resulted in less temperature increase (4.6 °C) compared to saline (6.8 °C). Additionally, at this distance, a negative correlation was observed between hydrodissection fluid thickness and temperature increase for both saline hydrodissection (<em>r</em>(18) = −0.96, <em>p</em> &lt; 0.001) and 5 % dextrose in water hydrodissection (<em>r</em>(18) = -0.81, <em>p</em> &lt; 0.001), which differs significantly (<em>p</em> = 0.011).</div></div><div><h3>Conclusion</h3><div>Results from this experimental ex vivo study suggest that 5 % dextrose in water may protect adjacent critical structures better from heating during microwave ablation than saline.</div></div>","PeriodicalId":74676,"journal":{"name":"Research in diagnostic and interventional imaging","volume":"14 ","pages":"Article 100060"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144098659","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":"In vivo percutaneous microwave ablation with ECO system in swine kidney and liver: comparison of ablation-zone size to manufacturer predictions and assessment of new antenna design","authors":"Théo Bonnefoy ,&nbsp;Georges Tarris ,&nbsp;Kévin Guillen ,&nbsp;Olivia Poupardin ,&nbsp;Olivier Chevallier ,&nbsp;Ludwig Serge Aho Glele ,&nbsp;Jean-Michel Correas ,&nbsp;Romaric Loffroy","doi":"10.1016/j.redii.2025.100061","DOIUrl":"10.1016/j.redii.2025.100061","url":null,"abstract":"<div><h3>Aim</h3><div>Percutaneous microwave ablation is an effective and minimally invasive treatment for small tumors. To achieve local disease control, the entire tumor and a surrounding safety margin must be destroyed. Power and application time are chosen based on manufacturer-provided data, usually obtained from ex vivo animal models. However, ex vivo tissues differ from in vivo condition due to compositional changes and absence of heat dissipation by blood flow. This study aimed to compare in vivo ablation zone sizes in swine with those predicted by the device manufacturer.</div></div><div><h3>Methods</h3><div>Five pigs underwent 40 microwave ablation procedures using various power-time-organ combinations; 18 hepatic and 20 renal zones were evaluable. All procedures were performed with devices from a single manufacturer (ECO Microwave System Co, Nanjing, China). After euthanasia, the ablation zones were excised and sliced. For each ablation, the slice showing the largest dimensions was selected to measure x and y diameters and used to compute the ablated surface area.</div></div><div><h3>Results</h3><div>For seven of eight power-time-organ combinations, significant differences were found between predicted and measured surface areas (<em>p</em> &lt; 0.05), with deviations ranging from –45 % to +54 %. The overall mean absolute differences between measured and predicted ablation sizes in the x and y dimensions and the ablation surface area were 7.6 ± 4.6 mm (28 % ± 19 %), 5.8 ± 4.3 mm (18 % ± 13 %) and 273 ± 210 mm² (39 % ± 34 %), respectively.</div></div><div><h3>Conclusion</h3><div>Manufacturer-provided predictive data for microwave ablation zone size may lack reliability. Intraoperative and postoperative monitoring of ablation zone size is crucial to ensure complete tumor destruction with adequate margins.</div></div>","PeriodicalId":74676,"journal":{"name":"Research in diagnostic and interventional imaging","volume":"14 ","pages":"Article 100061"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144139409","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":"Impact of a deep-learning image reconstruction algorithm on image quality and detection of solid lung lesions","authors":"Joël Greffier ,&nbsp;Maxime Pastor ,&nbsp;Quentin Durand ,&nbsp;Renaud Sales ,&nbsp;Chris Serrand ,&nbsp;Jean-Paul Beregi ,&nbsp;Djamel Dabli ,&nbsp;Julien Frandon","doi":"10.1016/j.redii.2025.100062","DOIUrl":"10.1016/j.redii.2025.100062","url":null,"abstract":"<div><h3>Purpose</h3><div>To compare the impact of a deep-learning image reconstruction algorithm (Precise Image) with an iterative reconstruction algorithm on image quality and detection of solid lung lesions in chest CT images.</div></div><div><h3>Methods</h3><div>All consecutive patients with at least one solid lung lesion diagnosed between December 2021 and February 2022 were retrospectively included. Images were reconstructed using Level 4 of the iterative reconstruction algorithm (i4) and the Standard/Smooth/Smoother levels of the deep-learning image reconstruction algorithm. Mean attenuation and standard deviation were measured by placing regions of interest in fat, muscle, trachea and solid lung lesions. The contrast-to-noise ratio between the lesion and the trachea was computed. Two radiologists assessed image noise and image smoothness, overall image quality and confidence diagnostic level using Likert scales. One radiologist also measured the large axis of the largest lesion. Statistical analyses was performed to compare outcomes obtained with the different algorithms.</div></div><div><h3>Results</h3><div>Thirty patients with a mean age of 70.0 ± 9.0 years (17 men) were included. The mean CTDI_vol was 6.3 ± 2.1 mGy. For all tissues, the contrast-to-noise ratio was similar for i4 and Standard level (<em>p</em> &gt; 0.05) but increased significantly with other deep-learning image reconstruction levels compared to i4 (<em>p</em> &lt; 0.05) and increased significantly from Standard to Smoother. Radiologists rated the image noise with a similar score between i4 and Standard level but decreased significantly between i4 and other deep-learning image reconstruction levels (<em>p</em> &lt; 0.05) and from Standard to Smoother levels (<em>p</em> &lt; 0.01). Overall image quality score were highest for the Smooth and Smoother levels.</div></div><div><h3>Conclusion</h3><div>Smooth and Smoother levels may now be used in clinical practice for chest CT acquisitions in solid lung lesion follow-up.</div></div>","PeriodicalId":74676,"journal":{"name":"Research in diagnostic and interventional imaging","volume":"14 ","pages":"Article 100062"},"PeriodicalIF":0.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144139408","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":"Comparing active teaching to hybrid lecture-based method for learning radiology basics: A single center controlled study","authors":"Fabien de Oliveira ,&nbsp;Jean-Paul Beregi ,&nbsp;Hugo Potier ,&nbsp;Thorgal Brun ,&nbsp;Chris Serrand ,&nbsp;Julien Frandon","doi":"10.1016/j.redii.2025.100054","DOIUrl":"10.1016/j.redii.2025.100054","url":null,"abstract":"<div><h3>Objective</h3><div>There is a lack of knowledge about radiology among medical students at the start of their curriculum. The optimal teaching method for radiological basics remains uncertain. We conducted a controlled trial to compare the effectiveness of full active learning and hybrid lecture-based teaching methods.</div></div><div><h3>Methods</h3><div>All second-year medical students at Nîmes University Hospital (Nîmes, France) were invited to participate in a training session in the radiology unit. Volunteers were divided into hybrid lecture-based and full active learning groups. The hybrid lecture-based group received a lecture-based session followed by a unit visit, while the full active learning group utilized a structured form with progressive objectives during the visit. Pretests, immediate post-tests, and two-week follow-up tests were conducted. Short-term progression was the primary outcome, with secondary objectives including mid-term acquisition and associated factors.</div></div><div><h3>Results</h3><div>51 students participated, with 20 in the hybrid lecture-based group and 31 in the full active learning group. Both groups exhibited significant progression between the first and second tests (+8.48 and +2.52 respectively, <em>p</em> &lt; 0.01). The hybrid lecture-based group showed significantly greater mean progression (<em>p</em> &lt; 0.01). Mid-term results indicated score decrease particularly in the hybrid lecture-based group, but it still maintained significantly superior performance (15.02/20 versus 12.33/20 for full active learning group, <em>p</em> &lt; 0.01).</div></div><div><h3>Conclusion</h3><div>The hybrid pedagogical method yielded superior results in teaching second-year medical students the basics of radiology compared to the full active learning teaching method.</div></div>","PeriodicalId":74676,"journal":{"name":"Research in diagnostic and interventional imaging","volume":"13 ","pages":"Article 100054"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143578202","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":"Possible limited justification for systematic head computed tomography scans based solely on antithrombotic therapy in elderly patients (aged 75 or older) with mild traumatic brain injury","authors":"Emma Jaffres ,&nbsp;Jean-Nicolas Dacher ,&nbsp;Mehdi Taalba ,&nbsp;Frédéric Roca ,&nbsp;Matthieu Garnier ,&nbsp;Sébastien Normant ,&nbsp;Mathieu Lozouet ,&nbsp;Emmanuel Gérardin ,&nbsp;Julien Burel","doi":"10.1016/j.redii.2024.100053","DOIUrl":"10.1016/j.redii.2024.100053","url":null,"abstract":"<div><h3>Rationale and objectives</h3><div>Recent literature suggests that performing systematic head computed tomography (CT) scans for mild traumatic brain injury (mTBI) in patients undergoing antithrombotic therapy offers limited benefits. This study aims to evaluate a set of criteria that could potentially eliminate the need for systematic head CT scans, performed solely because of the antithrombotic treatment status, in elderly patients (aged 75 or older) presenting with mTBI.</div></div><div><h3>Materials and methods</h3><div>All patients aged 75 or older who underwent a head CT scan at our academic center for mTBI while on antithrombotic therapy between January and December 2022 were retrospectively included in this study. Patients were categorized into two groups. The first group, referred to as the “At-risk group”, included patients with any of the following: GCS score &lt; 15 or cognitive impairment; initial loss of consciousness; hemodynamic instability; signs of fractures; extensive subcutaneous hematoma; severe or treatment-resistant headache; vomiting; seizure; any neurological deficit; intoxication; amnesia; or a history of neurosurgery. The second group, referred to as the “Not-at-risk group”, comprised patients without any of these criteria.</div></div><div><h3>Results</h3><div>A total of 1415 patients were included. Post-traumatic intracranial hemorrhage (<em>P</em> &lt; 0.001), brain herniation (<em>P</em> = 0.003), and fractures (<em>P</em> &lt; 0.001) occurred statistically more frequently in the At-risk group. Six post-traumatic hemorrhagic brain injuries were found in the Not-at-risk group, that did not present any of the studied criteria, and all these injuries were minor (localized SAH; millimetric SDH). Furthermore, none of these required immediate or delayed surgical intervention, and no neurological deterioration or deaths occurred in these patients.</div></div><div><h3>Conclusion</h3><div>In conclusion, conducting systematic head CT scans based solely on antithrombotic therapy in elderly patients aged 75 or older with mTBI might be irrelevant.</div></div>","PeriodicalId":74676,"journal":{"name":"Research in diagnostic and interventional imaging","volume":"13 ","pages":"Article 100053"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11786775/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143082514","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}