Frontiers in nuclear medicine (Lausanne, Switzerland)最新文献

{"title":"Quantification of FDG in the spinal cord using PET/MRI.","authors":"Eve Lennie, Steven Sourbron, Nigel Hoggard, Thomas Jenkins, Charalampos Tsoumpas","doi":"10.3389/fnume.2025.1646662","DOIUrl":"10.3389/fnume.2025.1646662","url":null,"abstract":"<p><strong>Background: </strong>In this study, we investigate the impact of MR-derived attenuation maps and limited detector resolution on the quantification of positron emission tomography (PET) activity uptake in the spinal cord during PET/MRI. This was performed by simulating [ <math><msup><mi></mi> <mrow><mn>18</mn></mrow> </msup> </math> F]FDG PET data in the neck and thorax and then modifying the attenuation map to remove bone features. We then compared Ordered Subset Expectation Maximisation-reconstructed images to those with full attenuation correction. This simulation was performed at two detector resolutions of 2.1 and 4.4 mm. Acquisitions from a clinical study were then used to assess the ability of point spread function (PSF) modelling and time-of-flight (TOF) corrections, as implemented on the SIGNA PET/MR scanner (GE HealthCare), to correct for these quantification errors. For comparison, mean uptake was measured in regions of interest at each vertebral position along the spinal cord.</p><p><strong>Results: </strong>Simulation results showed a decreasing pattern of uptake from the cervical to the thoracic spinal cord. When bone was not included in attenuation correction, the mean uptake decreased by 3%-10.4%. This difference in measured uptake was 6.4%-23.9% in images simulated at a detector resolution representative of a clinical PET/MRI scanner. At a detector resolution of 4.4 mm, a 32.2% decrease in uptake was measured compared to the 2.1 mm simulation. In patient data, introducing vertebral bone to the attenuation correction pseudo-CT led to a 1.8%-18.3% difference in <math> <msub><mrow><mi>SUV</mi></mrow> <mrow><mrow><mi>mean</mi></mrow> </mrow> </msub> </math> in the spinal cord. Applying PSF modelling did not lead to any statistically significant changes. TOF correction reduces the difference in <math> <msub><mrow><mi>SUV</mi></mrow> <mrow><mrow><mi>mean</mi></mrow> </mrow> </msub> </math> between data attenuation corrected with and without vertebral bone to 4.3%-7%. TOF Q.Clear images with beta = 100 showed the smallest difference between attenuation correction approaches at 0.6%-5.2%.</p><p><strong>Conclusion: </strong>Ignoring bone during image reconstruction in PET/MRI reduces the activity measured during quantification of the spinal cord; however, the partial volume effect has a greater impact on reducing measured uptake in lower-resolution data. While time-of-flight correction goes somewhat resolves these quantification errors, further research is needed into partial volume correction.</p>","PeriodicalId":73095,"journal":{"name":"Frontiers in nuclear medicine (Lausanne, Switzerland)","volume":"5 ","pages":"1646662"},"PeriodicalIF":1.4,"publicationDate":"2025-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12417479/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145042575","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":"Quantification of neuroinflammation in spinal cord and neuroforamina of patients with painful cervical radiculopathy using [¹¹C]DPA713 PET/CT.","authors":"Ivo J Lutke Schipholt, Gwendolyne G M Scholten-Peeters, Meghan A Koop, Michel W Coppieters, Ronald Boellaard, Elsmarieke van de Giessen, Bastiaan C Ter Meulen, Marieke Coenen, Carmen Vleggeert-Lankamp, Paul R Depaauw, Bart N M van Berckel, Adriaan A Lammerstma, Maqsood Yaqub","doi":"10.3389/fnume.2025.1569991","DOIUrl":"10.3389/fnume.2025.1569991","url":null,"abstract":"<p><strong>Background: </strong>Animal models of nerve compression have revealed neuroinflammation not only at the entrapment site, but also remotely at the spinal cord. However, there is limited information on the presence of neuroinflammation in human compression neuropathies. The objectives of this study were to: (1) assess which tracer kinetic model most optimally quantified [¹¹C]DPA713 uptake in the spinal cord and neuroforamina in patients with painful cervical radiculopathy, (2) evaluate the performance of linearized methods (e.g., Logan) and simplified (e.g., standardized uptake value - SUV) methods, and (3) assess the test-retest reliability of these methods. Microglia activation associated with neuroinflammation was quantified using positron emission tomography (PET) with the radiotracer [¹¹C]DPA713, targeting the 18 kDa translocator protein (TSPO). The Akaike information criterion, visual inspection of the fits and number of outliers were used to select the optimal kinetic model. As unaffected tissue, the spinal cord and neuroforamina three cervical levels above the affected target tissue was used.</p><p><strong>Results: </strong>The single tissue (1T2k) compartment model was the preferred model to describe [¹¹C]DPA713 kinetics at the spinal cord and neuroforamina. Higher levels of 1T2k <i>V</i> _T were observed in the affected neuroforamina and spinal cord compared with corresponding unaffected tissues. Logan <i>V</i> _T (≥0.73) showed high correlation with 1T2k <i>V</i> _T at both locations. Of the simplified methods, neuroforamina and spinal cord SUV normalized for the metabolite corrected plasma (TBR-PP) exhibited high correlations with 1T2k <i>V</i> _T (r ≥ 0.84). Test-retest reliability varied between fair to excellent.</p><p><strong>Conclusions: </strong>These results indicate that a 1T2k model with metabolite corrected image derived input function can be used to describe the kinetics of [¹¹C]DPA713 in the spinal cord and neuroforamina in humans. 1T2k <i>V</i> _T or Logan <i>V</i> _T can be used as binding metric, while TBR-PP is the recommended choice among simplified models.</p>","PeriodicalId":73095,"journal":{"name":"Frontiers in nuclear medicine (Lausanne, Switzerland)","volume":"5 ","pages":"1569991"},"PeriodicalIF":1.4,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12408627/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145016772","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":"Correction: On the construction of a large-scale database of AI-assisted annotating lung ventilation-perfusion scintigraphy for pulmonary embolism (VQ4PEDB).","authors":"Amir Jabbarpour, Eric Moulton, Sanaz Kaviani, Siraj Ghassel, Wanzhen Zeng, Ramin Akbarian, Anne Couture, Aubert Roy, Richard Liu, Yousif A Lucinian, Nuha Hejji, Sukainah AlSulaiman, Farnaz Shirazi, Eugene Leung, Sierra Bonsall, Samir Arfin, Bruce G Gray, Ran Klein","doi":"10.3389/fnume.2025.1671281","DOIUrl":"https://doi.org/10.3389/fnume.2025.1671281","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.3389/fnume.2025.1632112.].</p>","PeriodicalId":73095,"journal":{"name":"Frontiers in nuclear medicine (Lausanne, Switzerland)","volume":"5 ","pages":"1671281"},"PeriodicalIF":1.4,"publicationDate":"2025-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12345769/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144849921","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":"Targeted radionuclide therapy and diagnostic imaging of SSTR positive neuroendocrine tumors: a clinical update in the new decade.","authors":"Katherine N Haugh, Alexis M Sanwick, Ivis F Chaple","doi":"10.3389/fnume.2025.1655419","DOIUrl":"10.3389/fnume.2025.1655419","url":null,"abstract":"<p><p>Neuroendocrine tumors (NETs) are a heterogeneous group of neoplasms characterized by their overexpression of somatostatin receptors (SSTRs), which can be utilized for peptide receptor radionuclide therapy. This review provides a comprehensive update on the clinical trials of radiolabeled SSTR-targeting radiopharmaceuticals since 2020, with a focus on somatostatin receptor agonists and antagonists radiolabeled with ⁶⁸Ga, ¹⁸F, ^99mTc, ¹⁷⁷Lu, ¹⁶¹Tb, ²¹²Pb, ⁶⁷Cu, and ²²⁵Ac. Head-to-head clinical trials demonstrate that radiolabeled SSTR antagonists such as [⁶⁸Ga]Ga-DOTA-JR11 and [⁶⁸Ga]Ga-DOTA-LM3 offer improved lesion detection and tumor-to-background ratios (particularly in liver metastases) compared to radiolabeled agonists like [⁶⁸Ga]Ga-DOTA-TOC and [⁶⁴Cu]Cu-DOTA-TATE. Additionally, ¹⁸F-labeled agents offer logistical and dosimetric advantages over ⁶⁸Ga, due to ¹⁸F's longer half-life and cyclotron production, allowing for delayed imaging and increased availability to a wider range of patients. Emerging targeted alpha therapy agents, including [²²⁵Ac]Ac-DOTA-TATE, show promising results in treating disease resistant to conventional therapies due to the high linear energy transfer of alpha particles, which leads to improved localized cytotoxicity. Collectively, these developments support a shift toward more precise, receptor-specific theragnostics, emphasizing the need for further head-to-head clinical trials and integration of dosimetry-driven, personalized treatment planning in the management of NETs.</p>","PeriodicalId":73095,"journal":{"name":"Frontiers in nuclear medicine (Lausanne, Switzerland)","volume":"5 ","pages":"1655419"},"PeriodicalIF":1.4,"publicationDate":"2025-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12367690/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144981062","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":"Radiocobalt theranostic applications: current landscape, challenges, and future directions.","authors":"Alexis M Sanwick, Ivis F Chaple","doi":"10.3389/fnume.2025.1663748","DOIUrl":"10.3389/fnume.2025.1663748","url":null,"abstract":"<p><p>Radiocobalt-based theranostics has emerged as a promising platform in nuclear medicine that offers dual capabilities for both diagnostic imaging and targeted radionuclide therapy. ⁵⁵Co (t_1/2 = 17.53 h, β⁺ = 77%, E <i>_γ</i>  = 931.1 keV, I <i>_γ</i>  = 75%) and ^58mCo (t_1/2 = 9.10 h, IC = 100%) serve as an elementally matched pair for positron emission tomography and targeted Auger electron therapy, respectively, that enable a more personalized approach to cancer management, where imaging with ⁵⁵Co can help to guide and predict therapeutic outcomes for ^58mCo therapy. The unique coordination chemistry of cobalt allows for stable complexation with various chelators, enhancing <i>in vivo</i> stability and targeting efficacy when conjugated to biomolecules such as peptides, antibodies, and small molecules. Recent developments in radiolabeling techniques, chelator design, and preclinical evaluations have significantly improved the pharmacokinetic profiles and tumor specificity of radiocobalt-based radiopharmaceuticals. The aim of this mini review is to provide an overview of the recent advancements and applications of radiocobalt isotopes with a particular focus on the production, chelation chemistry, and <i>in vivo</i> targeting of ⁵⁵Co- and ^58mCo-labelled radiopharmaceuticals over the last 5 years. While challenges still exist in production scalability, dosimetry optimization, and clinical translations, the current trajectory suggests a growing role for radiocobalt-based theranostics in precision oncology.</p>","PeriodicalId":73095,"journal":{"name":"Frontiers in nuclear medicine (Lausanne, Switzerland)","volume":"5 ","pages":"1663748"},"PeriodicalIF":1.4,"publicationDate":"2025-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12364805/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144981047","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":"EARL compliance on the Biograph Vision Quadra PET-CT: phantom study for static and continuous bed motion acquisitions.","authors":"Beverley F Holman, Tamar Willson, Bruno Ferreira, Neil Davis, Hemangini Natarajan, Jannat Khan, Thomas Wagner, Daniel McCool","doi":"10.3389/fnume.2025.1646628","DOIUrl":"10.3389/fnume.2025.1646628","url":null,"abstract":"<p><strong>Purpose: </strong>Long axial field-of-view (LAFOV) PET systems like the Siemens Biograph Vision Quadra offer unprecedented sensitivity and imaging capabilities, but compliance with EARL standards across all acquisition modes remains unexplored. This study aimed to identify reconstruction parameters meeting EARL 1 and 2 compliance for static and continuous bed motion (CBM) acquisitions in High Sensitivity (HS) and Ultra-High Sensitivity (UHS) modes on the Quadra. The research focused on optimising image quality while maintaining compliance with quantitative standards.</p><p><strong>Methods: </strong>The International Electrotechnical Commission (IEC) body phantom was filled with ¹⁸F-FDG in a 10:1 sphere-to-background activity ratio and scanned at five positions across the field of view (FOV) using static and CBM acquisitions in HS and UHS modes. Reconstructions used standard clinical parameters, varied with Gaussian filters (1-7 mm) and matrix sizes (440, 220, 128). EARL compliance was assessed with the EARL tool to evaluate SUV recovery coefficients (RCSUVmean, RCSUVmax, RCSUVpeak). Patient images were reconstructed using standard and EARL-compliant parameters for comparison.</p><p><strong>Results: </strong>Reconstruction parameters achieving EARL compliance were identified for all acquisition modes, with no differences between static and CBM reconstructions. Achieving EARL compliance required significant image quality reductions, especially for EARL 1, with greater degradation in UHS mode. Patient images reconstructed with EARL-compliant parameters appeared smoother and had reduced contrast compared to clinical reconstructions.</p><p><strong>Conclusion: </strong>While EARL compliance ensures quantitative standardisation, it significantly reduces image quality, especially on advanced LAFOV PET systems. An updated \"EARL 3\" standard is needed to reflect the capabilities of modern systems.</p>","PeriodicalId":73095,"journal":{"name":"Frontiers in nuclear medicine (Lausanne, Switzerland)","volume":"5 ","pages":"1646628"},"PeriodicalIF":1.4,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12339562/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144838762","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":"On the construction of a large-scale database of AI-assisted annotating lung ventilation-perfusion scintigraphy for pulmonary embolism (VQ4PEDB).","authors":"Amir Jabbarpour, Eric Moulton, Sanaz Kaviani, Siraj Ghassel, Wanzhen Zeng, Ramin Akbarian, Anne Couture, Aubert Roy, Richard Liu, Yousif A Lucinian, Nuha Hejji, Sukainah AlSulaiman, Farnaz Shirazi, Eugene Leung, Sierra Bonsall, Samir Arfin, Bruce G Gray, Ran Klein","doi":"10.3389/fnume.2025.1632112","DOIUrl":"10.3389/fnume.2025.1632112","url":null,"abstract":"<p><strong>Introduction: </strong>Ventilation-perfusion (V/Q) nuclear scintigraphy remains a vital diagnostic tool for assessing pulmonary embolism (PE) and other lung conditions. Interpretation of these images requires specific expertise which may benefit from recent advances in artificial intelligence (AI) to improve diagnostic accuracy and confidence in reporting. Our study aims to develop a multi-center dataset combining imaging and clinical reports to aid in creating AI models for PE diagnosis.</p><p><strong>Methods: </strong>We established a comprehensive imaging registry encompassing patient-level V/Q image data along with relevant clinical reports, CTPA images, DVT ultrasound impressions, D-dimer lab tests, and thrombosis unit records. Data extraction was performed at two hospitals in Canada and at multiple sites in the United States, followed by a rigorous de-identification process. We utilized the V7 Darwin platform for crowdsourced annotation of V/Q images including segmentation of V/Q mismatched vascular defects. The annotated data was then ingested into Deep Lake, a SQL-based database, for AI model training. Quality assurance involved manual inspections and algorithmic validation.</p><p><strong>Results: </strong>A query of The Ottawa Hospital's data warehouse followed by initial data screening yielded 2,137 V/Q studies with 2,238 successfully retrieved as DICOM studies. Additional contributions included 600 studies from University Health Toronto, and 385 studies by private company Segmed Inc. resulting in a total of 3,122 V/Q planar and SPECT images. The majority of studies were acquired using Siemens, Philips, and GE scanners, adhering to standardized local imaging protocols. After annotating 1,500 studies from The Ottawa Hospital, the analysis identified 138 high-probability, 168 intermediate-probability, 266 low-probability, 244 very low-probability, and 669 normal, and 15 normal perfusion with reversed mismatched ventilation defect studies. In 1,500 patients were 3,511 segmented vascular perfusion defects.</p><p><strong>Conclusion: </strong>The VQ4PEDB comprised 8 unique ventilation agents and 11 unique scanners. The VQ4PEDB database is unique in its depth and breadth in the domain of V/Q nuclear scintigraphy for PE, comprising clinical reports, imaging studies, and annotations. We share our experience in addressing challenges associated with data retrieval, de-identification, and annotation. VQ4PEDB will be a valuable resource to development and validate AI models for diagnosing PE and other pulmonary diseases.</p>","PeriodicalId":73095,"journal":{"name":"Frontiers in nuclear medicine (Lausanne, Switzerland)","volume":"5 ","pages":"1632112"},"PeriodicalIF":1.4,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12310601/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144762559","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":"Correction: Emotional stress during the COVID-19 lockdown: how negative X/Twitter posts correlated with changes in the brain's fear network.","authors":"Eric Guedj, Jacques-Yves Campion, Tatiana Horowitz, Fanny Barthélémy, Stéphanie Khalfa, Wissam El-Hage","doi":"10.3389/fnume.2025.1655239","DOIUrl":"https://doi.org/10.3389/fnume.2025.1655239","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.3389/fnume.2025.1575026.].</p>","PeriodicalId":73095,"journal":{"name":"Frontiers in nuclear medicine (Lausanne, Switzerland)","volume":"5 ","pages":"1655239"},"PeriodicalIF":0.0,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12287081/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144710039","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":"Positron emission tomography imaging biomarker and artificial intelligence for the characterization of solitary pulmonary nodule.","authors":"Ashish Kumar Jha, Umeshkumar Baburao Sherkhane, Nilendu C Purandare, Leonard Wee, Andre Dekker, Venkatesh Rangarajan","doi":"10.3389/fnume.2025.1611823","DOIUrl":"10.3389/fnume.2025.1611823","url":null,"abstract":"<p><strong>Background: </strong>The characterization of solitary pulmonary nodules (SPNs) as malignant or benign remains a diagnostic challenge using conventional imaging parameters. The literature suggests using combined Positron Emission Tomography (PET) and Computed Tomography (CT) to characterise a SPN. Radiomics and machine learning are other promising technologies which can be utilised to characterise the SPN.</p><p><strong>Purpose: </strong>This study explores the potential of PET radiomics signatures and machine learning algorithms to characterise the SPN.</p><p><strong>Methods: </strong>This retrospective study aimed to characterize solitary pulmonary nodules (SPNs) using PET radiomics. A total of 163 patients who underwent PET/CT imaging were included in this study. A total of 1,098 features were extracted from PET images using PyRadiomics. To optimize model performance two strategies i.e., (a) feature selection and (b) feature reduction techniques were employed, including hierarchical clustering, RFE in feature selection, and PCA in feature reduction. To address outcome class imbalance, the dataset was statistically resampled (SMOTE). A random forest models was developed using original training set (RF-Model-O & RF-PCA-Model-O) and balanced training dataset (RF-Model-B & RF-PCA-Model-B) and validated on the test datasets. Additionally, 5-fold cross-validation and bootstrap validation was also performed. The model's performance was assessed using various metrics, such as accuracy, AUC, precision, recall, and F1-score.</p><p><strong>Results: </strong>Of the 163 patients (aged 36-76 years, mean age 58 ± 7), 117 had malignant disease and 46 had granulomatous or benign conditions. In <b>Strategy (a),</b> five radiomic features were identified as optimal using hierarchical clustering and RFE. In <b>Strategy (b),</b> five principal components were deemed optimal using PCA. The model accuracy of RF-Model-O and RF-Model-B in the train-test validation, 5-fold cross-validation and bootstrap validation were found to be 0.8, 0.80 ± 0.07, 0.84 ± 1.11 and 0.8, 0.83 ± 0.10, 0.80 ± 0.07 in Strategy (a). Similarly, the model accuracy of RF-PCA-Model-O and RF-PCA-Model-B in the train-test validation, 5-fold cross-validation and bootstrap validation were found to be 0.84, 0.80 ± 0.07, 0.84 ± 07 and 0.74, 0.80 ± 0.08, 0.75 ± 0.08 in Strategy (b).</p><p><strong>Conclusion: </strong>The PET radiomics demonstrated excellent performance in characterizing SPNs as benign or malignant.</p>","PeriodicalId":73095,"journal":{"name":"Frontiers in nuclear medicine (Lausanne, Switzerland)","volume":"5 ","pages":"1611823"},"PeriodicalIF":0.0,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12271206/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144676721","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":"Emotional stress during the COVID-19 lockdown: how negative X/Twitter posts correlated with changes in the brain's fear network.","authors":"Eric Guedj, Jacques-Yves Campion, Tatiana Horowitz, Fanny Barthélémy, Stéphanie Khalfa, Wissam El-Hage","doi":"10.3389/fnume.2025.1575026","DOIUrl":"10.3389/fnume.2025.1575026","url":null,"abstract":"<p><strong>Introduction: </strong>The COVID-19 pandemic has profoundly affected mental health, with lockdown periods particularly exacerbating negative emotions such as fear, sadness, and uncertainty. This study examines brain metabolic changes associated with the psychological context of the first French COVID-19 lockdown in vulnerable individuals.</p><p><strong>Methods: </strong>As a proxy measure of the psychological context, we used a composite negative-emotion score derived from an open-source X/Twitter dataset (\"The First French COVID-19 Lockdown Twitter Dataset\"), designed to capture public sentiment over the 55-day lockdown. This score was day-by-day correlated with whole-brain voxel-based [18F]FDG PET imaging in 95 patients with neurological conditions, using statistical parametric mapping (SPM) (<i>p</i>-voxel < 0.001, <i>k</i> > 108).</p><p><strong>Results: </strong>A significant negative correlation was found between daily negative-emotion scores and metabolism in the right ventromedial prefrontal cortex (vmPFC) and anterior cingulate cortex (ACC), key regions of the brain's fear circuit. Inter-regional correlation analysis (IRCA) of metabolic connectivity from the right vmPFC/ACC further revealed a right limbic-dominant network including the amygdala, hippocampus, thalamus, and basal ganglia.</p><p><strong>Discussion: </strong>These findings highlight the sensitivity of the right vmPFC/ACC to societal emotional stressors, suggesting a potential cerebral substrate for the increase in psychological and psychiatric disorders observed during the pandemic. Further research is needed to validate these results in larger populations and to explore their longitudinal implications, to better understand the neurological impact of collective stress.</p>","PeriodicalId":73095,"journal":{"name":"Frontiers in nuclear medicine (Lausanne, Switzerland)","volume":"5 ","pages":"1575026"},"PeriodicalIF":0.0,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12186706/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144487319","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}