British Journal of Radiology最新文献

{"title":"Minimizing preparation time for repeated prolonged deep-inspiration breath holds during breast cancer irradiation using pre-oxygenation with high flow nasal oxygen and voluntary hyperventilation.","authors":"Vincent Vakaet, Hans Van Hulle, Renée De Noyette, Max Schoepen, Pieter Deseyne, Vincent Huybrechts, Els Van Caelenberg, Annick Van Greveling, Chris Monten, Luc De Baerdemaeker, Wilfried De Neve, Marc Coppens, Liv Veldeman","doi":"10.1093/bjr/tqae223","DOIUrl":"https://doi.org/10.1093/bjr/tqae223","url":null,"abstract":"<p><strong>Introduction: </strong>Deep inspiration breath-holds (DIBHs) reduce heart and lung toxicity during breast cancer radiotherapy. Consecutive DIBHs are stressful, time-consuming and leads to position changes. Pre-oxygenation using high flow nasal oxygen (HFNO) and hyperventilation prolongs DIBHs (L-DIBHs). We examined the effect of hyperventilation time on the duration of L-DIBHs. Additionally, to minimize total treatment time the feasibility of several successive L-DIBHs was examined.</p><p><strong>Materials and methods: </strong>The method imposed 3 minutes of hyperventilation at 16 breaths per minute with preoxygenation using HFNO, in prone position. In the first phase, the effect of preparation time on the length of the breath-hold was investigated. The aim of the second phase was to investigate the feasibility of shorter preparation times before the second and third L-DIBH in the case of three consecutive L-DIBHs of 2 minutes.</p><p><strong>Results: </strong>There is a positive but weak correlation between preparation time and L-DIBH duration. With either 3 min 30 second or 6 minutes 20 seconds (depending on fitness) of voluntary hyperventilation duration, 93% of subjects could hold three consecutive L-DIBHs for over 2 minutes. The median duration of the third and last L-DIBH was 3 min 17 s (SD 1 min 4 s).</p><p><strong>Conclusion: </strong>A weak relationship exists between the hyperventilation time and L-DIBH duration. Repeating L-DIBHs with shorter preparations is achievable, resulting in a shorter total time required.</p><p><strong>Advances in knowledge: </strong>It is possible to perform a repeated L-DIBH for breast cancer irradiation using HFNO.</p>","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142614813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Application value of strain elastography and shear wave elastography in patients with type 2 diabetic peripheral neuropathy: a prospective observational study.","authors":"Siqi Zheng, Miao Zhu, Gaoxiang Fan, Xueting Yang, Min Bai","doi":"10.1093/bjr/tqae227","DOIUrl":"https://doi.org/10.1093/bjr/tqae227","url":null,"abstract":"<p><strong>Objective: </strong>To evaluate the value of conventional ultrasound (US), strain elastography (SE), and shear wave elastography (SWE) in detecting diabetic peripheral neuropathy (DPN) of the tibial nerve (TN), and to establish a predictive model for the diagnosis of DPN.</p><p><strong>Methods: </strong>32 healthy participants, 34 diabetic patients without DPN, and 36 diabetic patients with DPN were recruited for this study. The TN at the ankle and popliteal fossa were selected for examination. US was used to measure the cross-sectional area (CSA) and perimeter of the TN. Additionally, SE was employed to measure the strain ratio (SR) between the TN and the surrounding adipose tissue, and SWE was used to measure the Shear Wave Velocity (SWV) of the TN.</p><p><strong>Results: </strong>The CSA, perimeter, SR and SWV of the TN at the ankle were significantly higher in the DPN group compared to both the Non-DPN group and control group (P < 0.05). Similarly, the TN at the popliteal fossa showed these differences. At the ankle, the CSA, perimeter, SR, and SWV of the TN in patients without DPN were significantly higher than those in the control group (P < 0.05). At the popliteal fossa, the SR and SWV of the TN in patients without DPN were significantly higher than those in the control group (P < 0.05). However, the CSA and perimeter of the TN in patients without DPN did not show a statistically significant difference compared to the control group. The area under the curve (AUC) for the diagnosis of DPN using SWE is significantly greater than that of SE and US.</p><p><strong>Conclusion: </strong>US, SE, and SWE could be used to diagnose DPN, and they also have good diagnostic value for sub-clinical DPN. Among these methods, SWE has demonstrated superior diagnostic efficacy. Compared to examining the TN in the popliteal fossa, the ankle level offers a better site for examination.</p><p><strong>Advances in knowledge: </strong>For diabetic peripheral neuropathy, US, SE, and SWE are all promising diagnostic methods with high clinical utility.</p>","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142589375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dual Energy Metal Artifact Reduction for Iodine-125 Seed Identification in Postimplant CT after Prostate Brachytherapy.","authors":"Chiaki Suzuki, Kosuke Matsubara, Yuta Ujihara, Kenta Isogai","doi":"10.1093/bjr/tqae225","DOIUrl":"https://doi.org/10.1093/bjr/tqae225","url":null,"abstract":"<p><strong>Objectives: </strong>To assess the metal artifact reductions of dual-energy computed tomography (DECT) high-energy virtual monochromatic images (VMI) combined with the single energy metal artifact reduction (SEMER) (CANON MEDICAL SYSTEMS, Otawara, Japan) processing techniques for iodine (I)-125 seed identification in postimplant computed tomography (CT) after prostate brachytherapy.</p><p><strong>Methods: </strong>Dual-energy acquisition with fast tube voltage switching was performed on a prostate phantom with simulated seeds and six clinical cases treated with I-125 prostate brachytherapy. The images were retrospectively reconstructed at VMI energy levels of 65-200 keV and with and without SEMAR (SEMAR and non-SEMAR images). To estimate seed swelling, the caliber of iodine-125 seed was calculated as the full width at half maximum. The metal artifacts were evaluated using the artifact index (AI). The dose distributions were calculated and were compared among the high-energy VMI (SEMAR and non-SEMAR images) and low-energy VMI (SEMAR images).</p><p><strong>Results: </strong>The blooming artifacts decreased at higher energy levels. In addition, the SEMAR process markedly reduced AI, which helped reduce overestimation of high dose ranges in the treatment planning dose map.</p><p><strong>Conclusion: </strong>The locations and number of iodine-125 seed were clearly identified in the dose distribution map of the treatment planning using 200keV VMI with SEMAR.</p><p><strong>Advance in knowledge: </strong>The high-energy VMI of the dual energy CT in combination with SEMAR is appropriate for the postimplant planning process of I-125 prostate brachytherapy.</p>","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142567623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Aggressive bone tumours: What a radiologist can offer to the surgeon?","authors":"Dharmendra Kumar Singh, Nishith Kumar, Divesh Jalan, Geetika Khanna, Ashish Rustagi, Sonal Saran","doi":"10.1093/bjr/tqae224","DOIUrl":"https://doi.org/10.1093/bjr/tqae224","url":null,"abstract":"<p><p>The complexity of aggressive bone tumours necessitates a comprehensive approach that combines radiological assessments with clinical and pathological findings. Radiologists offer valuable insights to surgeons throughout the diagnostic and therapeutic journey, enhancing the precision and efficacy of surgical interventions. Radiologists contribute to definitive diagnosis in the majority of benign and certain aggressive tumours, although the complexity of aggressive bone tumours often requires histopathological confirmation. They assist in characterizing tumours and evaluating their extension, providing critical information for treatment planning. Radiologists guide biopsy procedures, ensuring representative tissue samples while minimizing morbidity and the risk of tumour spread. In preoperative planning, radiologists construct detailed 3D reconstructions of tumours, aiding surgeons in strategizing surgical approaches and anticipating challenges. During surgery, radiologists offer intraoperative guidance through techniques like image fusion and intraoperative MRI, enhancing surgical precision. Post-surgical surveillance for tumour recurrence heavily relies on radiological imaging, with functional MR sequences providing valuable insights. Radiologists also play a significant role in image-guided therapeutic interventions for aggressive bone tumours, offering procedures like osteoplasty and ablation techniques for pain relief and tumour control. In conclusion, radiologists are indispensable members of the multidisciplinary team and offer expertise in diagnosis, biopsy guidance, preoperative planning, intraoperative guidance, post-surgical surveillance, and interventional therapy. Their collaborative efforts significantly optimize patient's outcome and quality of life.</p>","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142567609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Patterns of metabolic response in patients receiving commercial CAR T-cells for relapsing/refractory aggressive B cells lymphoma.","authors":"Laetitia Vercellino, Siham Betterki, Estelle Blanc, Eric de Kerviler, Caterina Cristinelli, Pascal Merlet, Catherine Thieblemont, Véronique Meignin, Roberta Di Blasi","doi":"10.1093/bjr/tqae178","DOIUrl":"10.1093/bjr/tqae178","url":null,"abstract":"<p><p>CAR T-cells is an innovative treatment for relapsed/refractory aggressive B cell lymphomas, initially proposed as third-line therapy and beyond, now allowed as soon as second-line treatment for patients with early relapse after first-line treatment. FDG PET/CT remains the modality of choice to evaluate response to this therapeutic strategy, to detect or confirm treatment failure, and allow for salvage therapy if needed. Correct classification of patients regarding response is thus of the utmost importance. In many cases, metabolic response follows classical known patterns, and Deauville score and Lugano criteria yield accurate characterization of patient status. However, given its specific mode of action, it can result in delayed response or atypical patterns of response. We report here a few examples of response from our experience to illustrate the existence of tricky cases. These atypical cases require multidisciplinary management, with clinical, biological, imaging, and pathological work-up.</p>","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":"1755-1764"},"PeriodicalIF":1.8,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142139374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"\"Artificial intelligence Reading Digital Mammogram: Enhancing Detection and Differentiation of Suspicious Microcalcifications\".","authors":"Sahar Mansour, Omnia Mokhtar Nada, Mennat-Allah Samir Mohammed Abd El Galil, Sherif Nasser Taha, Ola Magdy","doi":"10.1093/bjr/tqae220","DOIUrl":"https://doi.org/10.1093/bjr/tqae220","url":null,"abstract":"<p><strong>Purpose: </strong>To investigate the impact of artificial intelligence (AI) on enhancing the sensitivity of digital mammograms in the detection and specification of grouped microcalcifications.</p><p><strong>Methods and materials: </strong>The study is a retrospective analysis of grouped microcalcifications for 447 patients. Grouped microcalcifications detected were correlated with AI, which was applied to the initial mammograms. AI provided a heat map, demarcation, and quantitative evaluation for abnormalities according to the degree of suspicion of malignancy. Histopathology was the standard for confirmation of malignancy.</p><p><strong>Results: </strong>AI showed a high correlation percentage of 67.5% between the red color of the color hue bar and malignant microcalcifications (p value <0.001). The scoring of probable cancer was suggested (ie, more than 50% abnormality scoring) in 39.5% of true cancer lesions. The diagnostic performance of mammography for grouped microcalcifications revealed a sensitivity of 94.7% and a negative predictive value of 82.1%. False negatives were only 12 out of 228 that proved malignant calcifications. The agreement of cancer probability between standard mammograms and examinations read by AI presented a Kappa value of -0.094 and a p value of < 0.001.</p><p><strong>Conclusions: </strong>The used AI system enhanced the sensitivity of mammograms in detecting suspicious microcalcifications, yet an expert human reader is required for proper specification.</p><p><strong>Advances in knowledge: </strong>Grouped calcifications could be early breast cancer on a mammogram. The morphology and distribution are correlated with the nature of breast diseases. AI is a potential decision support for the detection and classification of grouped microcalcifications and thus positively affects the control of breast cancer.</p>","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142543852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ovarian-Adnexal Reporting and Data System (O-RADS) MRI Scoring: Diagnostic Accuracy, Interobserver Agreement, and Applicability to Machine Learning.","authors":"Hüseyin Akkaya, Emin Demirel, Okan Dilek, Tuba Dalgalar Akkaya, Turgay Öztürkçü, Kübra Karaaslan Erişen, Zeynel Abidin Tas, Sevda Bas, Bozkurt Gülek","doi":"10.1093/bjr/tqae221","DOIUrl":"https://doi.org/10.1093/bjr/tqae221","url":null,"abstract":"<p><strong>Objectives: </strong>To evaluate the interobserver agreement and diagnostic accuracy of ovarian-adnexal reporting and data system magnetic resonance imaging (O-RADS MRI) and applicability to machine learning.</p><p><strong>Material and methods: </strong>Dynamic contrast-enhanced pelvic MRI examinations 471 lesions were retrospectively analyzed and assessed by three radiologists according to O-RADS MRI criteria. Radiomic data were extracted from T2, and post-contrast fat-suppressed T1-weighted images. Using these data, an artificial neural network (ANN), support vector machine, random forest, and naive Bayes models were constructed.</p><p><strong>Results: </strong>Among all readers, the lowest agreement was found for the O-RADS 4 group (kappa: 0.669 (95% confidence interval [CI] 0.634-0.733)), followed by the O-RADS 5 group (kappa: 0.709 (95% CI 0.678-0.754)). O-RADS 4 predicted a malignancy with an area under the curve (AUC) value of 74.3% (95% CI 0.701-0.782), and O-RADS 5 with an AUC of 95.5% (95% CI 0.932-0.972),(p < 0.001). Among the machine learning models, ANN achieved the highest success, distinguishing O-RADS groups with an AUC of 0.948, a precision of 0.861, and a recall of 0.824.</p><p><strong>Conclusion: </strong>The interobserver agreement and diagnostic sensitivity of the O-RADS MRI in assigning O-RADS 4-5 were not perfect, indicating a need for structural improvement. Integrating artificial intelligence into MRI protocols may enhance their performance.</p><p><strong>Advances in knowledge: </strong>Machine learning can achieve high accuracy in the correct classification of O-RADS MRI. Malignancy prediction rates were 74% for O-RADS 4 and 95% for O-RADS 5.</p>","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142543853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Value of projectional imaging relative to cross-sectional imaging to assess catheter tip position in the superior vena cava: Evaluation of reader variability.","authors":"Giuseppe Gullo, David Christian Rotzinger, Pierre Frossard, Anaïs Colin, Guillaume Saliou, Salah Dine Qanadli","doi":"10.1093/bjr/tqae218","DOIUrl":"https://doi.org/10.1093/bjr/tqae218","url":null,"abstract":"<p><strong>Objectives: </strong>The assessment of correct positioning of central venous catheters (CVC) is of major concern to avoid complications.Vascular access associations have established the cavo-atrial junction (CAJ) as the most appropriate CVC tip location. Among the different chest X-ray (CXR) landmarks proposed for assessing tip position relative to the CAJ, only the pericardial reflection lies in the same plane as the vascular structures assessed. Although extensively used, CXR has been criticized for its difficulty in estimating catheter tip location.We aimed to evaluate the observer variability to determine tip positioning on CXR. CT imaging was used as a gold standard for tip identification.</p><p><strong>Material and methods: </strong>107 CT scans of patients wearing port access catheter devices realized at the XXX University Hospital between January and December 2021 were retrospectively analyzed. Distance from tip to cavo-atrial junction (DCAJ) was measured on topogram projectional imaging (PJ) and axial cross-sectional imaging (CS) by 2 × 2 observers (within and between evaluations). Observational statistics were reported using a paired t-test, repeatability coefficients (RC), and the intraclass correlation coefficient (ICC), and they were displayed comprehensively using Bland-Altman plots.</p><p><strong>Results: </strong>All ICC were >0.9, indicating excellent reliability. The mean difference between observers comparing CS and PJ was 0.13 ± 0.80 cm (P = 0.10) with outer 95% confidence limits of 1.92 cm and -2.17 cm and an RC of 1.79 cm.</p><p><strong>Conclusion: </strong>CXR tip-position reading remains an accurate method for determining CVC localization. However, the assessment variability on CXR is plus or minus 2 cm and should be considered.</p><p><strong>Advances in knowledge: </strong>Chest X-ray (CXR) for the assessment of tip position is subject to intra-individual and inter-individual variation. On CT, the variability is solely linked to determining the cavoatrial junction (CAJ) and represented about 1 cm. On CXR, there is a twofold challenge: the correct determination of the CAJ and the accurate identification of the catheter tip, leading to a greater variability of 2 cm.In clinical practice, while considering the 3 cm anatomical zone around the CAJ acceptable, operators should be aware of the 2 cm variability resulting from CXR assessment. To account for this variability and avoid the risk of positioning the tip beyond 3 cm from the CAJ (theoretically up to plus or minus 5 cm away from the CAJ), operators should reduce the CXR-based acceptable zone to 1 cm around the CAJ. This change may impact up to thirty percent of procedures.</p>","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142543854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An update on pancreatic cancer imaging, staging and use of the PACT-UK radiology template pre- and post-neoadjuvant treatment.","authors":"Carmelo Corallo, Abdullah Saad Al-Adhami, Nigel Jamison, Juan Valle, Ganesh Radhakrishna, John Moir, Raneem Albazaz","doi":"10.1093/bjr/tqae217","DOIUrl":"https://doi.org/10.1093/bjr/tqae217","url":null,"abstract":"<p><p>Pancreatic ductal adenocarcinoma continues to have a poor prognosis, although recent advances in neoadjuvant treatments have provided some hope. Imaging assessment of suspected tumours can be challenging and requires a specific approach, with pancreas protocol CT being the primary imaging modality for staging with other modalities used as problem-solving tools to facilitate appropriate management. Imaging assessment post neoadjuvant treatment can be particularly difficult due to a current lack of robust radiological criteria to predict response and differentiate treatment induced fibrosis/inflammation from residual tumour. This review aims to provide an update of pancreatic ductal adenocarcinoma with particular focus on three points: tumour staging pre- and post-neoadjuvant treatment including vascular assessment, structured reporting with introduction of the PACT-UK radiology template (PAncreatic Cancer reporting Template-UK), and the potential future role of artificial intelligence in the diagnosis and staging of pancreatic cancer.</p>","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142495544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The prognostic value of Epicardial and Pericoronary Adipose Tissue in Heart Failure with Preserved Ejection Fraction Using Coronary Computed Tomography Angiography.","authors":"Shuangxiang Lin, Chenjia Liu, Shuyue Wang, Xingfa Ding, Jiaxing Wu, Xinhong Wang, Sun Jianzhong","doi":"10.1093/bjr/tqae216","DOIUrl":"https://doi.org/10.1093/bjr/tqae216","url":null,"abstract":"<p><strong>Objectives: </strong>To assess the prognostic significance of epicardial adipose tissue volume (EATv) and pericoronary adipose tissue attenuation (PCATa) in patients with heart failure with preserved ejection fraction (HFpEF).</p><p><strong>Methods: </strong>This retrospective study was based on HFpEF and controls who underwent coronary computed tomography angiography (CCTA) screening to rule out coronary disease. Comparisons of EATv and PCATa were made between HFpEF patients and a control group, employing statistical analyses including Kaplan-Meier and Cox regression to assess prognostic significance.</p><p><strong>Results: </strong>A total of 224 patients were retrospectively analyzed. The EATv was 56.1 cm3 ± 11.9 and PCATa in the right coronary artery (PCATa-RCA) was -74.7 HU ± 3.82 in HFpEF patients, which increased significantly compared with controls. Among them, 112 HFpEF patients (mean age: 71.9 ± 8.5 years; 40% male) were followed up for a median of 27 ± 0.6 months (range 2-47 months). EATv and PCATa-RCA were predictive of outcome with an optimal threshold of 56.29 cm3 and -71.17 HU, respectively. In Kaplan-Meier analysis, the high EATv and PCATa-RCA attenuation had significantly higher rates of composite outcomes (log-rank test, all P < 0.01). EATv and PCATa-RCA were independently predictive of outcome following adjustment for confounding variables (EATv: hazard ratio [HR] 1.03; 95% confidence interval [CI] (1.01-1.06); p < 0.01, PCTAa-RCA: HR 1.44; 95% CI 1.27-1.62; p < 0.001)).</p><p><strong>Conclusions: </strong>Increased EATv and PCATa-RCA are associated with worse clinical outcomes in HFpEF patients.</p><p><strong>Advances in knowledge: </strong>This study highlights the potential of CCTA-derived adipose tissue metrics as novel, non-invasive biomarkers for risk stratification in HFpEF.</p>","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":1.8,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142495547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}