Clinical radiology最新文献

{"title":"Response from the UNITE Collaborative to “Interventional radiology in the United Kingdom – a long-term strategic plan”","authors":"UNITE Collaborative Group","doi":"10.1016/j.crad.2025.107195","DOIUrl":"10.1016/j.crad.2025.107195","url":null,"abstract":"","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"94 ","pages":"Article 107195"},"PeriodicalIF":1.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146026044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Soft-Tissue Tumor Reporting and Data System (ST-RADS): Prospective implementation and diagnostic accuracy","authors":"A. Zhu ,&nbsp;E. Mesarick ,&nbsp;Y. Mian ,&nbsp;A. Mohamed ,&nbsp;F.D. Silva ,&nbsp;A.K. Taneja ,&nbsp;A. Chhabra","doi":"10.1016/j.crad.2025.107216","DOIUrl":"10.1016/j.crad.2025.107216","url":null,"abstract":"<div><h3>Aim</h3><div>To assess clinical performance with prospective implementation of the ST-RADS scoring and compare it to traditional descriptions.</div></div><div><h3>Materials and methods</h3><div>Following prospective implementation of ST-RADS in the electronic dictation system, fellowship-trained musculoskeletal radiologists classified soft tissue tumors and tumor-like lesions routinely. This IRB-approved audit study included 236 consecutive patients with MRIs from 01/2023 to 05/2024 at a tertiary care center. Data on patient demographics, imaging findings, lesion characteristics, biopsy results, treatments, and clinical outcomes were collected. Diagnostic accuracy of ST-RADS versus descriptive reporting was compared using McNemar test.</div></div><div><h3>Results</h3><div>The cohort (mean age: 54.3 years; 61.02 % female) had both lower extremity (47.03 %) and upper extremity (37.29 %) masses. The distribution included ST-RADS I (2.12 %), ST-RADS II (36.86 %), ST-RADS III (22.03 %), ST-RADS IV (5.93 %), ST-RADS V (4.24 %), and ST-RADS VI (28.81 %). ST-RADS demonstrated superior diagnostic accuracy compared to descriptive reporting overall (99.15 % vs. 92.80 %, p=0.000) and also within biopsy-confirmed cases (97.73 % vs. 82.95 %, p=0.00098). For benign tumors (ST-RADS I-III), ST-RADS achieved 100 % accuracy compared to 93.75 % for descriptive reporting (p=0.003). For malignant tumors (ST-RADS IV-VI), ST-RADS also showed higher accuracy compared to descriptive reporting (96.74 % vs. 89.13 %), although difference did not reach statistical significance (p=0.109).</div></div><div><h3>Conclusions</h3><div>Prospective application of the ST-RADS scoring system demonstrated significantly superior accuracy compared to traditional descriptive methods. These results advocate for broader implementation of ST-RADS in clinical practice as a standardized method for classifying musculoskeletal soft tissue tumors, providing standardized management recommendations, and longitudinal data collection for tracking patient outcomes.</div></div>","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"94 ","pages":"Article 107216"},"PeriodicalIF":1.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146006755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Antegrade cholangioscopy via a percutaneous transhepatic approach–initial single-center experience","authors":"R.M. Siepmann ,&nbsp;T. Herbold ,&nbsp;M.S. von der Stück ,&nbsp;I. Amygdalos ,&nbsp;F.W.R. Vondran ,&nbsp;C. Kuhl ,&nbsp;P. Bruners ,&nbsp;A. Barabasch ,&nbsp;A.A.J. Röth","doi":"10.1016/j.crad.2026.107246","DOIUrl":"10.1016/j.crad.2026.107246","url":null,"abstract":"<div><h3>Aim</h3><div>To report on initial experiences with cholangioscopies via an antegrade transhepatic approach by prior percutaneous insertion of a biliary drainage (PTBD) and tract dilation, describing indications, procedural characteristics, complication rates and peri-interventional laboratory changes.</div></div><div><h3>Materials and Methods</h3><div>This retrospective, single-arm study reviewed patients undergoing cholangioscopy via a PTBD access route in a tertiary hepatobiliary center from September 2020 to June 2023. Data on demographics and prior surgeries as well as clinical indications, pathology, lab values and medical reports were collected for PTBD insertion, drainage upsizing and cholangioscopy procedures. Complications were classified using the CIRSE classification (grade ≥ 3a defined as major). Follow-up time was defined as the interval between cholangioscopy and the last clinical contact.</div></div><div><h3>Results</h3><div>Thirteen patients (61.5 % female, mean age 58.3 years) underwent 41 interventions, including 13 PTBD insertions, 15 upsizings, and 13 cholangioscopies. The most common indication was cholestasis for PTBD placement and suspected biliary malignancy for cholangioscopy. Technical success was achieved in all procedures. PTBD insertion was associated with decreased bilirubin levels and an increase in CRP, whereas after cholangioscopy CRP remained stable. Overall complication rates were 2.4 % (n=1, relevant cholangitis) for major complications and 17.1 % (n=7, clinically silent infections) for minor complications. Mean follow-up time was 537.5 ± 400.6 days.</div></div><div><h3>Conclusion</h3><div>Percutaneous antegrade cholangioscopy using PTBD as an access route appears to be a viable and safe alternative in patients in whom the usual endoscopic retrograde approach failed or is anatomically not accessible. Larger, preferably multicenter studies are required to validate these preliminary single-center findings.</div></div>","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"94 ","pages":"Article 107246"},"PeriodicalIF":1.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146124117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Seconds that matter: the hidden burden of vetting times on radiology workflow","authors":"M. Jafari ,&nbsp;M.S. Kashthuri ,&nbsp;Z.Y. Wong ,&nbsp;R. Sinha","doi":"10.1016/j.crad.2026.107251","DOIUrl":"10.1016/j.crad.2026.107251","url":null,"abstract":"<div><h3>AIM</h3><div>Vetting is an essential but often overlooked step in radiology workflow. No published data exist on time spent vetting in National Health Service radiology departments. This study aims to quantify vetting times, examine variation by professional role, outcome, modality and referral source and explores the relationship of vetting outcome to professional role and referral source.</div></div><div><h3>MATERIALS AND METHODS</h3><div>Between April and August 2025, 344 vetting episodes in two tertiary hospitals in the North East and North Cumbria Imaging Network were prospectively observed. Time taken to vet, professional role of the vetter, outcome, referral source, and modality were recorded.</div></div><div><h3>Results</h3><div>The median vetting time was 31 seconds (IQR: 44.5; range: 4-347). Residents spent the longest time per request (61s, IQR: 79). Vetting times were similar for radiographers/sonographers (30s, IQR: 36) and consultant radiologists (28.5s, IQR: 39). Approved requests were processed fastest (median: 33s) and cancelled requests took longest (71s). Vetting times differed across modalities (H = 91.50, df (5), <em>P</em>&lt;.001), longest for computed tomography (42s) and nuclear medicine (39s), and shortest for ultrasound (11s). Referral source influenced vetting time: musculoskeletal interface clinic were quickest (14s), whereas hospital referral was slowest (44s).</div><div>Vetting outcomes differed by role (X²(4, N=344) = 34.15, <em>P</em>&lt;.001), with residents approving most requests. Outcomes were similar between consultants and radiographers/sonographers (X²(2, N=278) = 4.46, <em>P</em>=.11). Approval rates varied by referrals source (X²(8, N=344) = 106.93, <em>P</em>&lt;.001)—lowest for general practice (GP) (62 %) and highest for accident and emergency (100 %).</div></div><div><h3>Conclusion</h3><div>Vetting consumes a substantial amount of time and resources. Quantifying and understanding vetting time are vital for workforce planning and optimising departmental efficiency.</div></div>","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"94 ","pages":"Article 107251"},"PeriodicalIF":1.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146118158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","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 ventilation and perfusion parameters derived by phase-resolved functional lung (PREFUL) magnetic resonance imaging (MRI) in a prospective healthy cohort","authors":"J. Kroschke ,&nbsp;Y. Huber ,&nbsp;B. Kerber ,&nbsp;M. Lohezic ,&nbsp;T. Frauenfelder","doi":"10.1016/j.crad.2026.107248","DOIUrl":"10.1016/j.crad.2026.107248","url":null,"abstract":"<div><h3>AIM</h3><div>Deep learning (DL)-based reconstruction algorithms are increasingly integrated into clinical practice, offering the potential for shorter imaging times and improved image quality. This study is the first to evaluate whether DL-reconstructed magnetic resonance imaging (MRI) images affect ventilation and perfusion parameters derived from phase-resolved functional lung (PREFUL) MRI.</div></div><div><h3>MATERIALS AND METHODS</h3><div>This prospective study included 24 healthy volunteers (12 male, mean age: 28.9 ± 12.8 years) with normal lung function confirmed by spirometry. Free-breathing lung MRI was performed at 1.5T using 2D fast spoiled gradient echo sequences. Raw imaging data were reconstructed using both conventional non–DL- and DL-based methods. Image quality was assessed via signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR). PREFUL MRI was used to derive regional ventilation (Rvent), flow-volume loop correlation metric (FVL-CM), perfusion (Q), ventilation and perfusion defect percentages (VDPs and QDPs), and ventilation-perfusion (V/Q) match. Parameters were compared using paired statistical tests and Bland–Altman analysis.</div></div><div><h3>RESULTS</h3><div>DL-based reconstruction significantly improved image quality (SNR: 41.7 ± 19.5 vs 18.0 ± 6.5; contrast-to-noise: 179.9 ± 84.4 vs 75.3 ± 25.7; both <em>P</em>&lt;.001). No significant differences were found between DL and non-DL reconstructions for any PREFUL-derived parameters. Bland–Altman analysis showed good agreement and minimal bias across all functional metrics and strong to near-perfect correlation was found (r=0.8998 to 0.9998, <em>P</em>&lt;.001).</div></div><div><h3>CONCLUSION</h3><div>DL-based image reconstruction enhances image quality in lung MRI without altering ventilation or perfusion quantification from PREFUL analysis. In healthy individuals with normal PFTs, this approach can be safely integrated into functional lung MRI workflows. These results highlight the preservation of image characteristics with DL-based reconstruction and the robustness of the PREFUL method.</div></div>","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"94 ","pages":"Article 107248"},"PeriodicalIF":1.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146124136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Lung transplant evaluation—complications on a timeline","authors":"M.Y. Wu,&nbsp;A.O. Ferreira","doi":"10.1016/j.crad.2026.107250","DOIUrl":"10.1016/j.crad.2026.107250","url":null,"abstract":"<div><div>Lung transplantation is an important therapeutic option for patients with end-stage lung disease, significantly improving survival and quality of life. Advances in surgical techniques and posttransplant care have contributed to improved outcomes. However, lung transplantation is associated with a range of complications that occur at different stages postoperatively. This article reviews the key indications for lung transplantation, common surgical techniques, and a major focus is placed on the complications that arise posttransplant, categorised by their timing: immediate, early, intermediate, and late. Radiologists play a pivotal role in identifying these complications, such as pulmonary torsion, primary graft dysfunction, infections, and chronic lung allograft dysfunction. Early recognition and intervention based on imaging findings are essential for improving patient outcomes and extending graft longevity. Understanding the imaging features and clinical manifestations of these complications is crucial in the multidisciplinary management of lung transplant recipients.</div></div>","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"94 ","pages":"Article 107250"},"PeriodicalIF":1.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146131169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The impact of individualized CT contrast media protocols on total iodine load and contrast enhancement: a systematic review and meta-analysis","authors":"R.N. Planken ,&nbsp;T.van den Boogert ,&nbsp;F. Rengier ,&nbsp;O. Butler ,&nbsp;A. Ullmann ,&nbsp;C. Pieritz ,&nbsp;J. Thuering ,&nbsp;C. Mihl","doi":"10.1016/j.crad.2026.107247","DOIUrl":"10.1016/j.crad.2026.107247","url":null,"abstract":"<div><h3>Aim</h3><div>To evaluate the impact of individualized contrast media administration protocols, compared with fixed-volume protocols on total iodine load, image enhancement, and inter-patient variability across common CT indications.</div></div><div><h3>Materials and Methods</h3><div>A PRISMA-compliant systematic review and random-effects meta-analysis of studies comparing individualized versus fixed contrast administration protocols was conducted. MEDLINE/EMBASE searches up to December 2024 identified eligible studies reporting mean total iodine load (g iodine), Hounsfield units for specific regions of interest, and inter-patient standard deviation. Weighted descriptive statistics, weighted one-sample t test, and non-inferiority were utilized for analysis. Heterogeneity was assessed with τ², Cochran's Q, and I²; prediction intervals were calculated.</div></div><div><h3>Results</h3><div>Eighteen studies (n=3,133 patients; nine CT angiography, nine parenchymal CT; 11 experimental and 7 proprietary individualization methods) met the predefined inclusion criteria. Mean weighted total iodine load was significantly lower with individualized versus fixed protocols: 25.59 ± 10.13 g I vs 30.62 ± 7.72 g I, a mean saving of 5.43 g I per patient (95 % CI 2.82–8.04; p&lt;0.001), equating to a 17.7 % relative reduction. Subgroup savings were larger for CT angiography (7.99 g I) than parenchymal CT (3.27 g I). Overall HU ratio was 0.98 (95 % CI 0.94–1.02), meeting the predefined non-inferiority criterion. Inter-patient variability of enhancement was reduced with individualized protocols (CV ratio 0.75; 95 % CI 0.66–0.84), with consistent reductions across subgroups.</div></div><div><h3>Conclusion</h3><div>Individualized contrast administration protocols significantly reduce total iodine load while maintaining non-inferior contrast enhancement and substantially reducing inter-patient variability. These findings support wider adoption of patient-tailored contrast dosing to optimize resource use and harmonize image quality.</div></div>","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"94 ","pages":"Article 107247"},"PeriodicalIF":1.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146104377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Hull mechanical thrombectomy (MT) model: interventional radiologists performing mechanical thrombectomy for acute ischaemic stroke in the United Kingdom. Training, governance and beyond, with a propensity score matching analysis of outcomes","authors":"C. Igwe ,&nbsp;T. Edwards ,&nbsp;N. Cinti ,&nbsp;S. Seedat ,&nbsp;A. Smith ,&nbsp;P. Scott ,&nbsp;V. Shrivastava ,&nbsp;P. Maliakal ,&nbsp;R. Lakshminarayan ,&nbsp;H. Nejadhamzeeigilani","doi":"10.1016/j.crad.2025.107143","DOIUrl":"10.1016/j.crad.2025.107143","url":null,"abstract":"<div><h3>Background</h3><div>Mechanical thrombectomy (MT) is an effective treatment in a large vessel acute ischaemic stroke. Despite its established efficacy, many United Kingdom (UK) centres still face challenges in providing extended and 24/7 MT access, partly due to workforce constraints. Training interventional radiologists (IRs) in MT may represent a promising alternative to address the shortfall of trained operators.</div></div><div><h3>Materials and Methods</h3><div>This retrospective single-centre study analysed consecutive patients with large vessel occlusion undergoing MT between December 2017 and November 2023. This included a model of MT delivery involving IR and interventional neuroradiologists (INRs) jointly. Outcomes included successful revascularisation (modified Thrombolysis in Cerebral Infarction score ≥2b), first-pass effect, procedural time, 90-day modified Rankin Scale (mRS) scores, symptomatic intracranial haemorrhage (sICH), and mortality. A regression model was employed to calculate propensity scores using age, the Alberta Stroke Program Early CT Score , and clot location as variables for efficacy and safety outcomes.</div></div><div><h3>Results</h3><div>Of 252 procedures, IRs performed 50, while INRs performed 62 cases independently. Post-propensity matching, 90-day functional independence (mRS: 0-2) was similar (IRs 61.1 % vs INRs 60.0 %; <em>P</em>=.924). Outcomes such as successful reperfusion (IRs: 86.5 % vs INRs: 81.6 %; <em>P</em>=.562), puncture to reperfusion time (33 vs 28 minutes; <em>P</em>=.192), and sICH (5.4 % vs 0.0 %; <em>P</em>=.146) did not significantly differ. Operator type did not predict a favourable mRS score (0-2) in a logistic regression model.</div></div><div><h3>Conclusion</h3><div>Vascular IRs with structured MT training and local governance evaluation achieved comparable outcomes to INRs within a UK real-world practice. These findings support the role of IRs in addressing workforce gaps and expanding access towards 24/7 MT availability.</div></div>","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"93 ","pages":"Article 107143"},"PeriodicalIF":1.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145965500","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"CMR-based estimation of mean pulmonary arterial pressure and pulmonary vascular resistance in connective tissue disease-associated pulmonary arterial hypertension","authors":"K. Ma ,&nbsp;Y. Zhu ,&nbsp;W. Liu ,&nbsp;X. Zhu ,&nbsp;Q. Wang ,&nbsp;X. Sun ,&nbsp;Y. Guo ,&nbsp;Y. Wang ,&nbsp;Y. Zhu ,&nbsp;Y. Xu","doi":"10.1016/j.crad.2025.107199","DOIUrl":"10.1016/j.crad.2025.107199","url":null,"abstract":"<div><h3>Purpose</h3><div>To estimate mean pulmonary arterial pressure (mPAP) and pulmonary vascular resistance (PVR) using cardiac magnetic resonance (CMR) in connective tissue disease-associated pulmonary arterial hypertension (CTD-PAH).</div></div><div><h3>Materials and Methods</h3><div>This retrospective study included 144 CTD patients (50 CTD-nonPAH, 70 CTD-PAH derivation, 24 CTD-PAH validation) from September 2017 to March 2024. Patients underwent both CMR and right heart catheterization (RHC) within 7 days. CMR parameters, including ventricular volumes, and pulmonary arterial hemodynamics, were measured and compared with RHC-derived mPAP and PVR. Multivariate regression models for mPAP and PVR were developed and validated. Spearman's correlation and Bland-Altman analysis were used to assess model accuracy.</div></div><div><h3>Results</h3><div>Ventricular mass index (VMI), interventricular septum (IVS) angle, and IVS curvature correlated strongly with RHC-based mPAP (r=0.73, 0.71, and –0.69; all P&lt;0.01). A right ventricular ejection fraction (RVEF) threshold of 22 % was identified: when RVEF &gt; 22 %, mPAP and RVEF were negatively correlated (P&lt;0.001); no correlation was found when RVEF ≤ 22 % (P=0.657). For RVEF &gt; 22 %, the following CMR model was established to predict mPAP: 32.454 + (42.616 × VMI) – (19.276 × IVS curvature). Another CMR model for predicting PVR was developed: 8.664 + (28.495 × VMI) − (0.053 × RVESVI) − (7.206 × RV SV/ESV). Validation demonstrated good correlations with RHC (mPAP: r=0.679; PVR: r=0.625, both P≤0.001). Bland-Altman analysis confirmed agreement between CMR and RHC.</div></div><div><h3>Conclusions</h3><div>CMR provides a noninvasive method for estimating mPAP and PVR in CTD-PAH patients, with potential utility in pulmonary hemodynamic assessment.</div></div>","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"93 ","pages":"Article 107199"},"PeriodicalIF":1.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145941299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comment on ‘Novel magnetic resonance imaging (MRI)-based radiomics for predicting perineural invasion in rectal cancer: a two-centre study’","authors":"W. Zhao ,&nbsp;Y. Liu ,&nbsp;B. Li","doi":"10.1016/j.crad.2025.107209","DOIUrl":"10.1016/j.crad.2025.107209","url":null,"abstract":"","PeriodicalId":10695,"journal":{"name":"Clinical radiology","volume":"93 ","pages":"Article 107209"},"PeriodicalIF":1.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145941302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}