{"title":"The role of nuclear medicine in abdominopelvic infections","authors":"J. Gatón-Ramírez , E. Noriega-Álvarez","doi":"10.1053/j.semnuclmed.2026.03.006","DOIUrl":"10.1053/j.semnuclmed.2026.03.006","url":null,"abstract":"<div><div>Abdominopelvic infections remain a major diagnostic challenge despite advances in anatomical imaging. Clinical presentation is frequently nonspecific, biomarkers lack accuracy, and cross-sectional techniques such as computed tomography often fail to identify early, postoperative, or low-grade infections precisely when timely intervention is most critical. In this context, functional imaging has emerged not merely as a complementary modality, but as a decision-shaping tool capable of resolving diagnostic uncertainty. Nuclear medicine techniques provide unique pathophysiological insights that extend beyond structural assessment. ¹⁸F-FDG PET/CT offers high sensitivity for detecting metabolically active disease and is particularly valuable in identifying occult infection and guiding whole-body evaluation. However, its lack of specificity limits its ability to distinguish infection from sterile inflammation, especially in the postoperative abdomen. In contrast, radiolabeled leukocyte scintigraphy retains a critical role due to its pathogen-oriented specificity and resistance to physiological background activity in the gastrointestinal and urinary systems. Rather than competing modalities, ¹⁸F-FDG PET/CT and leukocyte imaging address complementary clinical questions: the former is optimized for detecting disease activity, whereas the latter provides confirmation of true infection. Their appropriate use should therefore be guided by the underlying diagnostic dilemma rather than by availability alone. This review examines the role of nuclear medicine in the management of abdominopelvic infections from a clinical decision-making perspective, highlighting scenarios in which functional imaging alters patient management, discussing key pitfalls, and outlining emerging approaches aimed at achieving pathogen-specific imaging.</div></div><div>Abdominopelvic infections remain a major diagnostic challenge despite advances in anatomical imaging. Clinical presentation is frequently nonspecific, biomarkers lack accuracy, and cross-sectional techniques such as computed tomography often fail to identify early, postoperative, or low-grade infections precisely when timely intervention is most critical. In this context, functional imaging has emerged not merely as a complementary modality, but as a decision-shaping tool capable of resolving diagnostic uncertainty. Nuclear medicine techniques provide unique pathophysiological insights that extend beyond structural assessment. ¹⁸F-FDG PET/CT offers high sensitivity for detecting metabolically active disease and is particularly valuable in identifying occult infection and guiding whole-body evaluation. However, its lack of specificity limits its ability to distinguish infection from sterile inflammation, especially in the postoperative abdomen. In contrast, radiolabeled leukocyte scintigraphy retains a critical role due to its pathogen-oriented specificity and resistance to physiological background activity in the","PeriodicalId":21643,"journal":{"name":"Seminars in nuclear medicine","volume":"56 3","pages":"Pages 500-510"},"PeriodicalIF":5.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147532270","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":"Quantification, radiomics and artificial intelligence in infection imaging: Current status and future directions in nuclear medicine","authors":"Geoffrey M. Currie , Dale L. Bailey","doi":"10.1053/j.semnuclmed.2026.02.002","DOIUrl":"10.1053/j.semnuclmed.2026.02.002","url":null,"abstract":"<div><div>Nuclear medicine infection imaging has traditionally relied on semantic visual interpretation supported by simple semi-quantitative indices. While effective, this paradigm is limited by observer dependence, restricted sensitivity to subtle or diffuse disease, and difficulty in standardising interpretation across centres. Advances in quantitative imaging, radiomics and artificial intelligence (AI) are reshaping this landscape. These complementary domains, collectively conceptualised as <em>computomics</em>, extend infection imaging from qualitative pattern recognition toward objective, reproducible and data-driven characterisation of disease. Quantitative imaging converts tracer distribution into measurable biological metrics, ranging from simple region-of-interest count ratios to standardised uptake values and kinetic parameters. Radiomics builds on this foundation by extracting high-dimensional features describing intensity, shape, texture and spatial heterogeneity, revealing image information not appreciable to the human eye. AI, through machine learning and deep learning approaches, integrates quantitative and radiomic data with clinical variables to automate segmentation, enhance reconstruction, support classification, and enable predictive modelling. Together, these tools offer potential to improve differentiation of infection from sterile inflammation, quantify disease burden, monitor therapy response, and standardise interpretation in complex scenarios. Quantitative accuracy and radiomic stability remain highly dependent on acquisition, reconstruction and processing parameters. AI-driven image enhancement and denoising may improve visual appearance while altering voxel statistics, with downstream effects on quantitative metrics and texture features. Variability in feature definitions, segmentation methods and analysis pipelines further limits reproducibility. Consequently, harmonisation, standardisation, transparent validation and physics-informed AI models are essential.</div></div><div>Nuclear medicine infection imaging has traditionally relied on semantic visual interpretation supported by simple semi-quantitative indices. While effective, this paradigm is limited by observer dependence, restricted sensitivity to subtle or diffuse disease, and difficulty in standardising interpretation across centres. Advances in quantitative imaging, radiomics and artificial intelligence (AI) are reshaping this landscape. These complementary domains, collectively conceptualised as <em>computomics</em>, extend infection imaging from qualitative pattern recognition toward objective, reproducible and data-driven characterisation of disease. Quantitative imaging converts tracer distribution into measurable biological metrics, ranging from simple region-of-interest count ratios to standardised uptake values and kinetic parameters. Radiomics builds on this foundation by extracting high-dimensional features describing intensity, shape, texture and s","PeriodicalId":21643,"journal":{"name":"Seminars in nuclear medicine","volume":"56 3","pages":"Pages 414-429"},"PeriodicalIF":5.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147459724","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}
Phillip Yin , Amber Sherwood , Laila M. Castellino , Peter A. Crisologo , Ora Israel , Orhan K. Öz , Gad Abikhzer
{"title":"Imaging trends in diabetic foot infections","authors":"Phillip Yin , Amber Sherwood , Laila M. Castellino , Peter A. Crisologo , Ora Israel , Orhan K. Öz , Gad Abikhzer","doi":"10.1053/j.semnuclmed.2026.03.012","DOIUrl":"10.1053/j.semnuclmed.2026.03.012","url":null,"abstract":"<div><div>Diabetic foot infections are a common complication of diabetes, associated with significant risks of amputation, recurrence and high treatment costs. Imaging plays an increasingly important role in determining medical and surgical planning. Advanced imaging such as magnetic resonance imaging (MRI) and hybrid molecular imaging such as single photon emission computed tomography with computed tomography (SPECT/CT) and positron emission tomography with CT (PET/CT), play an important role in the diagnosis of osteomyelitis and in treatment planning.</div><div>This review explores the state-of-the-art and future trends for clinical and imaging practices in diabetic foot infections.</div></div><div>Diabetic foot infections are a common complication of diabetes, associated with significant risks of amputation, recurrence and high treatment costs. Imaging plays an increasingly important role in determining medical and surgical planning. Advanced imaging such as magnetic resonance imaging (MRI) and hybrid molecular imaging such as single photon emission computed tomography with computed tomography (SPECT/CT) and positron emission tomography with CT (PET/CT), play an important role in the diagnosis of osteomyelitis and in treatment planning.</div><div>This review explores the state-of-the-art and future trends for clinical and imaging practices in diabetic foot infections.</div>","PeriodicalId":21643,"journal":{"name":"Seminars in nuclear medicine","volume":"56 3","pages":"Pages 430-441"},"PeriodicalIF":5.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147646306","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 of immunocompromised patients: focus on fungal-specific PET tracers","authors":"Dima A. Hammoud","doi":"10.1053/j.semnuclmed.2026.05.003","DOIUrl":"10.1053/j.semnuclmed.2026.05.003","url":null,"abstract":"<div><div>The global population of immunocompromised patients is growing, accompanied by a rising incidence of opportunistic infections. Among these, invasive mold infections are associated with substantial morbidity and mortality, in part because of delayed diagnosis. Although current diagnostic methods have improved, they are still limited by lack of specificity, invasiveness, or both. Recently, several novel noninvasive, pathogen-specific PET imaging ligands have been developed and evaluated. Among them, [<sup>18</sup>F]-fluorocellobiose, a carbohydrate-based metabolic tracer, has demonstrated high specificity for live cellulolytic mold infections, including <em>Aspergillus</em> spp. It also shows promise for treatment monitoring and can be readily synthesized enzymatically from [<sup>18</sup>F]-fluorodeoxyglucose. ImmunoPET approaches targeting fungal cell wall components are likewise highly promising as panfungal ligands and may be further optimized through antibody engineering strategies to enhance target binding, functionality and pharmacokinetic properties. These newer PET ligands have the potential to overcome the limited specificity of [<sup>18</sup>F]-FDG, allowing more accurate localization of infectious lesions and, importantly, differentiation between invasive fungal infections and other types of pathogens. Such advances are especially significant for this vulnerable patient population, in whom rapid and accurate diagnosis can have major prognostic implications.</div></div><div>The global population of immunocompromised patients is growing, accompanied by a rising incidence of opportunistic infections. Among these, invasive mold infections are associated with substantial morbidity and mortality, in part because of delayed diagnosis. Although current diagnostic methods have improved, they are still limited by lack of specificity, invasiveness, or both. Recently, several novel noninvasive, pathogen-specific PET imaging ligands have been developed and evaluated. Among them, [<sup>18</sup>F]-fluorocellobiose, a carbohydrate-based metabolic tracer, has demonstrated high specificity for live cellulolytic mold infections, including <em>Aspergillus</em> spp. It also shows promise for treatment monitoring and can be readily synthesized enzymatically from [<sup>18</sup>F]-fluorodeoxyglucose. ImmunoPET approaches targeting fungal cell wall components are likewise highly promising as panfungal ligands and may be further optimized through antibody engineering strategies to enhance target binding, functionality and pharmacokinetic properties. These newer PET ligands have the potential to overcome the limited specificity of [<sup>18</sup>F]-FDG, allowing more accurate localization of infectious lesions and, importantly, differentiation between invasive fungal infections and other types of pathogens. Such advances are especially significant for this vulnerable patient population, in whom rapid and accurate diagnosis can have major prognostic implic","PeriodicalId":21643,"journal":{"name":"Seminars in nuclear medicine","volume":"56 3","pages":"Pages 478-485"},"PeriodicalIF":5.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147975133","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}
Ismaheel O. Lawal , Alfred O. Ankrah , Sofiullah Abubakar , Honest Ndlovu , Aisha Ismaila , Mike M. Sathekge
{"title":"Updates on tuberculosis imaging","authors":"Ismaheel O. Lawal , Alfred O. Ankrah , Sofiullah Abubakar , Honest Ndlovu , Aisha Ismaila , Mike M. Sathekge","doi":"10.1053/j.semnuclmed.2026.04.005","DOIUrl":"10.1053/j.semnuclmed.2026.04.005","url":null,"abstract":"<div><div>Tuberculosis (TB) remains a leading infectious cause of morbidity and mortality worldwide, and major diagnostic and therapeutic challenges persist despite advances in microbiologic and molecular testing. Over the past decade, molecular imaging, especially with FDG PET/CT, has transformed our understanding of TB pathogenesis, the spectrum of early and subclinical disease, mechanisms of dissemination, and treatment response. This review synthesizes key recent developments in TB imaging, focusing on studies published since prior Seminars in Nuclear Medicine reviews. New non–human primate and human PET/CT data provide unprecedented insight into the spatial and temporal evolution of granulomas, demonstrating highly localized microanatomic seeding, bronchogenic spread pathways, and heterogeneous lesion biology that strongly influence treatment outcomes. Imaging studies in asymptomatic individuals reveal that metabolically active subclinical TB is common and strongly predictive of future progression, redefining the spectrum of latent infection. In treatment monitoring, FDG PET/CT consistently outperforms conventional microbiologic biomarkers, correlating with lesion-level sterilization and identifying patients at risk for relapse, particularly when persistent metabolic activity remains at the end of therapy. The introduction of emerging tracers, such as integrin-targeted probes, offers complementary characterization of granuloma angiogenesis, immune microenvironments, and host–pathogen dynamics beyond glucose metabolism. Future priorities include the development of TB-specific radiotracers, the integration of PET with advanced computational modeling and AI-based quantification, and the translation of imaging biomarkers into individualized treatment strategies and drug-development pipelines. Collectively, these advances position molecular imaging as a central tool in elucidating TB biology and accelerating progress toward improved diagnostic, therapeutic, and prevention strategies.</div></div><div>Tuberculosis (TB) remains a leading infectious cause of morbidity and mortality worldwide, and major diagnostic and therapeutic challenges persist despite advances in microbiologic and molecular testing. Over the past decade, molecular imaging, especially with FDG PET/CT, has transformed our understanding of TB pathogenesis, the spectrum of early and subclinical disease, mechanisms of dissemination, and treatment response. This review synthesizes key recent developments in TB imaging, focusing on studies published since prior Seminars in Nuclear Medicine reviews. New non–human primate and human PET/CT data provide unprecedented insight into the spatial and temporal evolution of granulomas, demonstrating highly localized microanatomic seeding, bronchogenic spread pathways, and heterogeneous lesion biology that strongly influence treatment outcomes. Imaging studies in asymptomatic individuals reveal that metabolically active subclinical TB is common and","PeriodicalId":21643,"journal":{"name":"Seminars in nuclear medicine","volume":"56 3","pages":"Pages 486-499"},"PeriodicalIF":5.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147779955","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}
Keamogetswe Ramonaheng , Milani Qebetu , Kaluzi Banda , Pryaska Goorhoo , Khomotso Legodi , Sipho Mdanda , Sandile Sibiya , Yonwaba Mzizi , Honest Ndlovu , Joseph Kabunda , Mengdie Yang , Kuangyu Shi , Mike Sathekge
{"title":"Corrigendum to <Advances in Dosimetry and Imaging for 203Pb and 212Pb Radiotheranostics’> <[Semin NuclMed55:1011-1031/https://doi.org/10.1053/j.semnuclmed.2025.09.006]>","authors":"Keamogetswe Ramonaheng , Milani Qebetu , Kaluzi Banda , Pryaska Goorhoo , Khomotso Legodi , Sipho Mdanda , Sandile Sibiya , Yonwaba Mzizi , Honest Ndlovu , Joseph Kabunda , Mengdie Yang , Kuangyu Shi , Mike Sathekge","doi":"10.1053/j.semnuclmed.2026.02.003","DOIUrl":"10.1053/j.semnuclmed.2026.02.003","url":null,"abstract":"","PeriodicalId":21643,"journal":{"name":"Seminars in nuclear medicine","volume":"56 3","pages":"Pages 564-565"},"PeriodicalIF":5.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147370360","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}
Akintunde T. Orunmuyi , Michael Wang , Antoine Rogeau , John Dickson , Ashley M. Groves , Jamshed Bomanji , Francesco Fraioli , Rimona S. Weil
{"title":"Structured reading for Tau PET Imaging in Alzheimer's disease and related dementias","authors":"Akintunde T. Orunmuyi , Michael Wang , Antoine Rogeau , John Dickson , Ashley M. Groves , Jamshed Bomanji , Francesco Fraioli , Rimona S. Weil","doi":"10.1053/j.semnuclmed.2026.02.005","DOIUrl":"10.1053/j.semnuclmed.2026.02.005","url":null,"abstract":"<div><div>Tau PET provides in vivo characterisation of tau pathology, offering crucial insights into Alzheimer’s disease and related disorders (ADRD). This article describes an evidence-based approach to the review and reporting of tau PET in ADRD, aligned with recent international consensus guidelines. We describe visual interpretation using validated scoring systems and harmonising thresholds for quantitative analysis for structured reporting. Implementing a standardised practice enhances reproducibility and clinical decision-making, preparing tau PET for routine clinical use.</div></div><div>Tau PET provides in vivo characterisation of tau pathology, offering crucial insights into Alzheimer’s disease and related disorders (ADRD). This article describes an evidence-based approach to the review and reporting of tau PET in ADRD, aligned with recent international consensus guidelines. We describe visual interpretation using validated scoring systems and harmonising thresholds for quantitative analysis for structured reporting. Implementing a standardised practice enhances reproducibility and clinical decision-making, preparing tau PET for routine clinical use.</div>","PeriodicalId":21643,"journal":{"name":"Seminars in nuclear medicine","volume":"56 3","pages":"Pages 556-562"},"PeriodicalIF":5.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147532283","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":"Optimizing PET/CT and SPECT/CT in infection imaging: Acquisition, interpretation, and pitfalls","authors":"Elite Arnon-Sheleg , Zohar Keidar","doi":"10.1053/j.semnuclmed.2026.03.013","DOIUrl":"10.1053/j.semnuclmed.2026.03.013","url":null,"abstract":"<div><div>The adoption of hybrid imaging, including F18-FDG PET/CT and radiolabeled leukocyte (WBC) SPECT/CT, has revolutionized the diagnosis and management of complex infectious diseases. Following the successful precedent of harmonization in oncology, the field of infection imaging is undergoing a similar transformation from subjective visual assessment to a multiparametric, quantitative, and standardized approach. This review provides a comprehensive roadmap for molecular imaging—from patient selection to integrated interpretation strategies that leverage the synergy between functional data and morphological CT hallmarks and explores various diagnostic pitfalls encompassing pharmacological interference, technical artifacts, and biological mimickers. Finally, structured reporting is highlighted as a vital tool for communicating actionable, evidence-based data to the multidisciplinary team, ultimately improving diagnostic accuracy and patient outcomes in the era of personalized medicine.</div></div><div>The adoption of hybrid imaging, including F18-FDG PET/CT and radiolabeled leukocyte (WBC) SPECT/CT, has revolutionized the diagnosis and management of complex infectious diseases. Following the successful precedent of harmonization in oncology, the field of infection imaging is undergoing a similar transformation from subjective visual assessment to a multiparametric, quantitative, and standardized approach. This review provides a comprehensive roadmap for molecular imaging—from patient selection to integrated interpretation strategies that leverage the synergy between functional data and morphological CT hallmarks and explores various diagnostic pitfalls encompassing pharmacological interference, technical artifacts, and biological mimickers. Finally, structured reporting is highlighted as a vital tool for communicating actionable, evidence-based data to the multidisciplinary team, ultimately improving diagnostic accuracy and patient outcomes in the era of personalized medicine.</div>","PeriodicalId":21643,"journal":{"name":"Seminars in nuclear medicine","volume":"56 3","pages":"Pages 401-413"},"PeriodicalIF":5.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147779991","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}
Ben F. Bulten , Riemer H.J.A. Slart , Andor W.J.M. Glaudemans , Sören Hess , Erik H.J.G. Aarntzen , Olivier Gheysens
{"title":"Standardization of infection [18F]FDG-PET/CT imaging protocols and reporting criteria","authors":"Ben F. Bulten , Riemer H.J.A. Slart , Andor W.J.M. Glaudemans , Sören Hess , Erik H.J.G. Aarntzen , Olivier Gheysens","doi":"10.1053/j.semnuclmed.2026.03.014","DOIUrl":"10.1053/j.semnuclmed.2026.03.014","url":null,"abstract":"<div><div>[<sup>18</sup>F]FDG-PET/CT (infection PET) has emerged as a key modality in the evaluation and management of patients with suspected or proven infection. Despite several recommendations addressing general preparation, acquisition, interpretation and reporting, infection PET/CT remains insufficiently standardized across indications and centers. This review provides a comprehensive overview of general and indication-specific aspects of infection PET and proposes clinically applicable suggestions to harmonize protocols, maximize the diagnostic performance and its contribution to patient management.</div></div><div>[<sup>18</sup>F]FDG-PET/CT (infection PET) has emerged as a key modality in the evaluation and management of patients with suspected or proven infection. Despite several recommendations addressing general preparation, acquisition, interpretation and reporting, infection PET/CT remains insufficiently standardized across indications and centers. This review provides a comprehensive overview of general and indication-specific aspects of infection PET and proposes clinically applicable suggestions to harmonize protocols, maximize the diagnostic performance and its contribution to patient management.</div>","PeriodicalId":21643,"journal":{"name":"Seminars in nuclear medicine","volume":"56 3","pages":"Pages 528-547"},"PeriodicalIF":5.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147676203","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}