Diagnostic and Interventional Imaging最新文献

{"title":"Photon-counting CT myocardial extracellular volume: A non-invasive biomarker for fibrosis in patients with hypertrophic cardiomyopathy.","authors":"Christos Gkizas, Benjamin Longere, Saad Bechrouri, Helene Ridon, Aimee Rodriguez Musso, Mehdi Haidar, Cedric Croisille, David Montaigne, Pascal De Groote, Francois Pontana","doi":"10.1016/j.diii.2025.09.001","DOIUrl":"https://doi.org/10.1016/j.diii.2025.09.001","url":null,"abstract":"<p><strong>Purpose: </strong>The purpose of this study was to evaluate the diagnostic performance of myocardial extracellular volume (ECV) quantification using dual-source photon-counting detector computed tomography (PCCT) compared to cardiac magnetic resonance imaging (MRI) for assessing the severity of myocardial fibrosis in patients with hypertrophic cardiomyopathy (HCM).</p><p><strong>Materials and methods: </strong>Patients with HCM due to sarcomere mutations underwent cardiac computed tomography angiography (CCTA) using a first-generation PCCT scanner, followed by comprehensive cardiac MRI. The CCTA protocol included a late iodine enhancement acquisition in spectral mode, 5 min after contrast media injection. ECV was calculated from the iodine ratio of the myocardium and blood pool on late iodine enhancement PCCT images. Cardiac MRI biomarkers included T1 mapping, ECV, and late gadolinium enhancement percentage (LGE). Diagnostic capabilities of PCCT were estimated using sensitivity, specificity, accuracy, interobserver agreement for myocardial fibrosis, area under the receiver operating characteristic curve (AUC) analyses for optimal thresholds, and correlations between tissue characteristics, functional capacity, and biomarkers.</p><p><strong>Results: </strong>Thirty patients were retrospectively included. There were 22 men and eight women with a mean age of 59 ± 13.8 (standard deviation [SD]). The mean dose length product of late enhancement PCCT scanning was 105 ± 45 (SD) mGy.cm. No significant differences were found between global PCCT-derived ECV (30.0 ± 4.8 [SD] %) and MRI-derived ECV (30.62 ± 4.2 [SD] %) (P = 0.59). Linear regression revealed a strong segmental correlation between PCCT and MRI (basal, r = 0.89; mid-ventricular, r = 0.85; apical, r = 0.85; P < 0.001). An optimal PCCT-derived ECV threshold of 33.4 % allowed the diagnosis of LGE ≥ 15 % with 80 % sensitivity, 76 % specificity, and an AUC of 0.77, not significantly different from MRI-derived ECV (threshold 33.9 %; sensitivity, 80 %; specificity, 76 %, AUC, 0.80; P = 0.176). PCCT-derived ECV correlated with peak VO₂ (r = -0.76) and NT-proBNP levels (r = 0.59).</p><p><strong>Conclusion: </strong>PCCT-derived ECV shows promise for quantifying myocardial fibrosis in HCM, offering a valuable non-invasive alternative to cardiac MRI, especially for patients with contraindications or those requiring combined CCTA and myocardial assessment.</p>","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":" ","pages":""},"PeriodicalIF":8.1,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145058852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Image quality and dose reduction with photon counting detector CT: Comparison between ultra-high resolution mode and standard mode using a phantom study","authors":"Joël Greffier ,&nbsp;Claire Van Ngoc Ty ,&nbsp;Skander Sammoud ,&nbsp;Cédric Croisille ,&nbsp;Jean-Paul Beregi ,&nbsp;Djamel Dabli ,&nbsp;Isabelle Fitton","doi":"10.1016/j.diii.2025.03.009","DOIUrl":"10.1016/j.diii.2025.03.009","url":null,"abstract":"<div><h3>Purpose</h3><div>The purpose of this study was to assess the image quality and dose reduction potential of ultra-high resolution (UHR) mode compared with standard mode, both available on a commercial photon-counting detector computed tomography (PCCT) scanner.</div></div><div><h3>Materials and methods</h3><div>Images were acquired on a PCCT with a phantom using UHR and standard modes at three dose levels (3/6/12 mGy). Raw data were reconstructed using soft tissue (Br36) and bone (Br68) reconstruction kernels and 0.4-mm slice thickness. Noise power spectrum (NPS) and task-based transfer function (TTF) were calculated to assess noise magnitude, noise texture (f_av), and spatial resolution (f₅₀), respectively. Detectability indexes (d’) were calculated to model the detection of two abdominal lesions for a Br36 soft tissue reconstruction kernel and three bone lesions for a Br68 bone reconstruction kernel.</div></div><div><h3>Results</h3><div>At all dose levels, noise magnitude values were lower with UHR than with standard mode (mean difference, -18.0 ± 2.6 [standard deviation (SD)] % for Br36 and -33.9 ± 2.3 [SD] % for Br68). Noise texture was lower with UHR than with standard mode (mean difference, -4.2 ± 0.9 [SD] % for Br36 and -16.0 ± 1.8 [SD] % for Br68). For the solid water insert and Br36, f₅₀ values were similar for both UHR (0.34 ± [SD] 0.04 mm^-1) and standard (0.33 ± [SD] 0.04 mm^-1) modes. For Br68, f₅₀ values were greater with UHR than with standard for iodine (mean difference, 18.5 ± 1.9 [SD] %) and bone (11.7 ± 5.7 [SD] %) inserts. For all simulated lesions, d’ values were greater with UHR than with standard and, compared to standard, the dose reduction potential with UHR was -32.9 ± 0.0 (SD) % for abdominal lesions and -68.7 ± 3.2 (SD) % for bone lesions.</div></div><div><h3>Conclusion</h3><div>Compared to the standard mode, the UHR mode offers lower noise levels and better detectability of abdominal and bone lesions, paving the way for potential dose reduction with PCCT in clinical applications.</div></div>","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"106 9","pages":"Pages 320-326"},"PeriodicalIF":8.1,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143812728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Efficacy of a deep learning-based software for chest X-ray analysis in an emergency department","authors":"Sathiyamurthy Selvam ,&nbsp;Olivier Peyrony ,&nbsp;Arben Elezi ,&nbsp;Adelia Braganca ,&nbsp;Anne-Marie Zagdanski ,&nbsp;Lucie Biard ,&nbsp;Jessica Assouline ,&nbsp;Guillaume Chassagnon ,&nbsp;Guillaume Mulier ,&nbsp;Constance de Margerie-Mellon","doi":"10.1016/j.diii.2025.03.007","DOIUrl":"10.1016/j.diii.2025.03.007","url":null,"abstract":"<div><h3>Purpose</h3><div>The purpose of this study was to evaluate the efficacy of a deep learning (DL)-based computer-aided detection (CAD) system for the detection of abnormalities on chest X-rays performed in an emergency department setting, where readers have access to relevant clinical information.</div></div><div><h3>Materials and methods</h3><div>Four hundred and four consecutive chest X-rays performed over a two-month period in patients presenting to an emergency department with respiratory symptoms were retrospectively collected. Five readers (two radiologists, three emergency physicians) with access to clinical information were asked to identify five abnormalities (<em>i.e</em><span>., consolidation, lung nodule, pleural effusion, pneumothorax, mediastinal/hilar mass) in the dataset without assistance, and then after a 2-week period, with the assistance of a DL-based CAD system. The reference standard was a chest X-ray consensus review by two experienced radiologists. Reader performances were compared between the reading sessions, and interobserver agreement was assessed using Fleiss’ kappa test.</span></div></div><div><h3>Results</h3><div>The dataset included 118 occurrences of the five abnormalities in 103 chest X-rays. The CAD system improved sensitivity for consolidation, pleural effusion, and nodule, with respective absolute differences of 8.3 % (95 % CI: 3.8–12.7; <em>P</em> &lt; 0.001), 7.9 % (95 % CI: 1.7–14.1; <em>P</em> = 0.012), and 29.5 % (95 % CI: 19.8–38.2; <em>P</em> &lt; 0.001), respectively. Specificity was greater than 89 % for all abnormalities and showed a minimal but significant decrease with DL for nodules and mediastinal/hilar masses (-1.8 % [95 % CI: -2.7 – -0.9]; <em>P</em> &lt; 0.001 and -0.8 % [95 % CI: -1.5 – -0.2]; <em>P</em> = 0.005). Inter-observer agreement improved with DL, with kappa values ranging from 0.40 [95 % CI: 0.37–0.43] for mediastinal/hilar mass to 0.84 [95 % CI: 0.81–0.87] for pneumothorax.</div></div><div><h3>Conclusion</h3><div>Our results suggest that DL-assisted reading increases the sensitivity for detecting important chest X-ray abnormalities in the emergency department, even when clinical information is available to the radiologist.</div></div>","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"106 9","pages":"Pages 299-311"},"PeriodicalIF":8.1,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143781705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Relaxing the PI-RADS dominant sequence rule improves the characterization of high-grade prostate cancer on multiparametric MRI","authors":"Pierre Baseilhac ,&nbsp;Nicolas Romain-Scelle ,&nbsp;Amna Klich ,&nbsp;Sébastien Crouzet ,&nbsp;Marc Colombel ,&nbsp;Alain Ruffion ,&nbsp;Muriel Rabilloud ,&nbsp;Olivier Rouvière","doi":"10.1016/j.diii.2025.04.003","DOIUrl":"10.1016/j.diii.2025.04.003","url":null,"abstract":"<div><h3>Purpose</h3><div>The Prostate Imaging-Reporting and Data System 2.0 (PI-RADSv2.0) and 2.1 (PI-RADSv2.1) scores are deduced from the pulse sequence categories using the \"dominant sequence\" scoring rule. The purpose of this study was to develop and evaluate a new scoring rule that makes better use of non-dominant pulse sequence findings.</div></div><div><h3>Material and methods</h3><div>The new scoring rule was developed using a single-center database of 1627 patients who underwent prostate multiparametric MRI and prostate biopsy. The combinations of PI-RADSv2.0 pulse sequence categories observed at sextant level were ranked based on their rate of high-grade (grade group ≥ 2) prostate cancer and assigned to one of the five levels of the new score. Then, a hidden evaluation dataset of 240 MRI lesions to which 21 readers of varying experience had assigned PI-RADSv2.1 pulse sequence categories was used. For each reader, the PI-RADSv2.1 score of the lesions (PI-RADSv2.1 dominant sequence rule) and the new score (scoring rule defined in the development cohort) were computed. The scores were compared using areas under the curve (AUC), sensitivities, specificities, reproducibility, and clinical utility.</div></div><div><h3>Results</h3><div>Across all readers, the mean AUC of the new score (0.78; 95 % confidence interval [CI]: 0.73–0.83) was significantly greater than that of the PI-RADSv2.1 score (0.76; 95 % CI: 0.71–0.81; <em>P</em> &lt; 0.01). The new score showed lower sensitivity, higher specificity and better inter-reader agreement in all reader experience subgroups. Across all readers, for a ≥ 3 dichotomization, it provided a higher net benefit than the PIRADSv2.1 score for risk thresholds &gt; 0.15.</div></div><div><h3>Conclusion</h3><div>The new scoring rule outperformed the dominant sequence rule in characterizing high-grade prostate cancer regardless of reader experience.</div></div>","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"106 9","pages":"Pages 312-319"},"PeriodicalIF":8.1,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144017392","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Real-world validation of a deep learning algorithm for chest radiography in the emergency department: A tale of two specialties","authors":"Bo Gong","doi":"10.1016/j.diii.2025.03.008","DOIUrl":"10.1016/j.diii.2025.03.008","url":null,"abstract":"","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"106 9","pages":"Pages 283-284"},"PeriodicalIF":8.1,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143812680","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reevaluating the dominant sequence paradigm: Toward a comprehensive scoring model for PI-RADS","authors":"Sébastien Molière ,&nbsp;Raphaële Renard-Penna","doi":"10.1016/j.diii.2025.05.009","DOIUrl":"10.1016/j.diii.2025.05.009","url":null,"abstract":"","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"106 9","pages":"Pages 287-288"},"PeriodicalIF":8.1,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144340513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"CT features of genetic mutation-related pulmonary alveolar proteinosis (CCR2 and GATA2 deficiency)","authors":"Gael Dournes ,&nbsp;Hugues Bégueret ,&nbsp;Xavier Demant ,&nbsp;Jean Delmas ,&nbsp;Michael Fayon ,&nbsp;Nathalie Aladjidi","doi":"10.1016/j.diii.2025.04.007","DOIUrl":"10.1016/j.diii.2025.04.007","url":null,"abstract":"","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"106 9","pages":"Pages 327-329"},"PeriodicalIF":8.1,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144032856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Imaging features of hepatic peribiliary cysts in liver cirrhosis","authors":"Emma Gauwin ,&nbsp;Maxime Barat ,&nbsp;Emma Canniff","doi":"10.1016/j.diii.2025.07.002","DOIUrl":"10.1016/j.diii.2025.07.002","url":null,"abstract":"","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"106 9","pages":"Pages 330-331"},"PeriodicalIF":8.1,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144668729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Laser-focused ablative therapy for prostate cancer and benign prostatic hyperplasia: A review of current applications and future directions","authors":"François Cornud ,&nbsp;Eric M Walser ,&nbsp;Katelijne CC de Bie ,&nbsp;Arnaud Lefevre ,&nbsp;Marc Galiano","doi":"10.1016/j.diii.2025.04.001","DOIUrl":"10.1016/j.diii.2025.04.001","url":null,"abstract":"<div><div>Focal Laser ablation (FLA), or interstitial Laser thermotherapy, is a promising minimally invasive approach for the treatment of localized prostate cancer and benign prostatic hyperplasia. This technique is gaining popularity among patients due to its ability to preserve pre-treatment quality of life. The examination is performed under magnetic resonance imaging (in bore) or ultrasound guidance, via a percutaneous transrectal or transperineal route. Under transperineal ultrasound guidance, FLA can use up to four Laser fibers to create confluent zones of tissue ablation, enabling treatment of larger prostate- or tumor volumes. Primary indications for FLA include intermediate-risk localized prostate cancer and benign prostatic hyperplasia refractory to medical treatment due to ineffectiveness or side effects. The intervention is typically performed under light sedation or under locoregional anesthesia. FLA lasts approximately 10 min, with a total intervention time of &lt; 60 min on an outpatient basis. Patients are often discharged with either a suprapubic or bladder catheter to prevent urinary retention, especially if the ablated area is close to the urethra. Minor complications are rare and limited to transient voiding dysfunction, urinary tract infection, or hematuria. Major complications, such as rectoprostatic fistula, are avoided by rectoprostatic hydrodissection. FLA is an effective, well-tolerated option in the minimally invasive treatment of prostate disease, offering rapid treatment times, low complication rates, and preservation of quality of life for appropriately selected patients. However, variability in recurrence rates following FLA for prostate cancer highlights the need for further investigation into optimal patient selection for this treatment.</div></div>","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"106 9","pages":"Pages 289-298"},"PeriodicalIF":8.1,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144035593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Focal Laser ablation in prostate diseases: Consolidating evidence and navigating future directions","authors":"Denis Séguier,&nbsp;Jonathan Olivier,&nbsp;Arnauld Villers","doi":"10.1016/j.diii.2025.05.003","DOIUrl":"10.1016/j.diii.2025.05.003","url":null,"abstract":"","PeriodicalId":48656,"journal":{"name":"Diagnostic and Interventional Imaging","volume":"106 9","pages":"Pages 285-286"},"PeriodicalIF":8.1,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144133313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}