npj Imaging最新文献

{"title":"Focal cortical dysplasia (type II) detection with multi-modal MRI and a deep-learning framework","authors":"Anand Shankar, Manob Jyoti Saikia, Samarendra Dandapat, Shovan Barma","doi":"10.1038/s44303-024-00031-5","DOIUrl":"10.1038/s44303-024-00031-5","url":null,"abstract":"Focal cortical dysplasia type II (FCD-II) is a prominent cortical development malformation associated with drug-resistant epileptic seizures that leads to lifelong cognitive impairment. Efficient MRI, followed by its analysis (e.g., cortical abnormality distinction, precise localization assistance, etc.) plays a crucial role in the diagnosis and supervision (e.g., presurgery planning and postoperative care) of FCD-II. Involving machine learning techniques particularly, deep-learning (DL) approaches, could enable more effective analysis techniques. We performed a comprehensive study by choosing six different well-known DL models, three image planes (axial, coronal, and sagittal) of two MRI modalities (T1w and FLAIR), demographic characteristics (age and sex) and clinical characteristics (brain hemisphere and lobes) to identify a suitable DL model for analysing FCD-II. The outcomes show that the DenseNet201 model is more suitable because of its superior classification accuracy, high-precision, F1-score, and large area under the receiver operating characteristic (ROC) curve and precision–recall (PR) curve.","PeriodicalId":501709,"journal":{"name":"npj Imaging","volume":" ","pages":"1-18"},"PeriodicalIF":0.0,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44303-024-00031-5.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142123427","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":"Emerging targets for positron emission tomography imaging in proteinopathies","authors":"Melissa Chassé, Neil Vasdev","doi":"10.1038/s44303-024-00032-4","DOIUrl":"10.1038/s44303-024-00032-4","url":null,"abstract":"Positron emission tomography (PET) imaging of neurodegenerative disease has historically focused on a small number of established targets. The development of selective PET radiotracers for novel biological targets enables new ways to interrogate the neuropathology of proteinopathies and will advance our understanding of neurodegeneration. This perspective aims to highlight recent PET radiotracers developed for five emerging targets in proteinopathies (i.e., mHTT, BACE1, TDP-43, OGA, and CH24H).","PeriodicalId":501709,"journal":{"name":"npj Imaging","volume":" ","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44303-024-00032-4.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142013690","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":"Looking forward at npj Imaging","authors":"Rita Strack","doi":"10.1038/s44303-024-00030-6","DOIUrl":"10.1038/s44303-024-00030-6","url":null,"abstract":"","PeriodicalId":501709,"journal":{"name":"npj Imaging","volume":" ","pages":"1-2"},"PeriodicalIF":0.0,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44303-024-00030-6.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142013708","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":"[18F]FSPG-PET provides an early marker of radiotherapy response in head and neck squamous cell cancer","authors":"Khrishanthne Sambasivan, Will E. Tyrrell, Rizwan Farooq, Jenasee Mynerich, Richard S. Edwards, Muhammet Tanc, Teresa Guerrero Urbano, Timothy H. Witney","doi":"10.1038/s44303-024-00038-y","DOIUrl":"10.1038/s44303-024-00038-y","url":null,"abstract":"The ability to image early treatment response to radiotherapy in head and neck squamous cell carcinoma (HNSCC) will enable the identification of radioresistant tumor volumes suitable for treatment intensification. Here, we propose the system xc− radiotracer (4S)-4-(3-[18F]fluoropropyl)-L-glutamate ([18F]FSPG) as a non-invasive method to monitor radiation response in HNSCC. We assessed temporal changes in cell death, antioxidant status, and [18F]FSPG retention following a single dose of 10 Gy irradiation in FaDU HNSCC cells. Next, using a fractionated course of radiotherapy, we assessed tumor volume changes and performed [18F]FSPG-PET imaging in FaDU-bearing mouse xenografts, followed by ex vivo response assessment. In cells, 10 Gy irradiation reduced [18F]FSPG retention, coinciding with the induction of apoptosis and the production of reactive oxygen species. In vivo, [18F]FSPG tumor retention was halved seven days after the start of treatment, which preceded radiotherapy-induced tumor shrinkage, thereby confirming [18F]FSPG-PET as an early and sensitive marker of radiation response.","PeriodicalId":501709,"journal":{"name":"npj Imaging","volume":" ","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11315666/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141918535","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":"Author Correction: In vivo organoid growth monitoring by stimulated Raman histology","authors":"Barbara Sarri, Véronique Chevrier, Flora Poizat, Sandro Heuke, Florence Franchi, Louis De Franqueville, Eddy Traversari, Jean-Philippe Ratone, Fabrice Caillol, Yanis Dahel, Solène Hoibian, Marc Giovannini, Cécile de Chaisemartin, Romain Appay, Géraldine Guasch, Hervé Rigneault","doi":"10.1038/s44303-024-00035-1","DOIUrl":"10.1038/s44303-024-00035-1","url":null,"abstract":"","PeriodicalId":501709,"journal":{"name":"npj Imaging","volume":" ","pages":"1-1"},"PeriodicalIF":0.0,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44303-024-00035-1.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141968457","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":"New tactics in the design of theranostic radiotracers","authors":"Cesare Berton, Simon Klingler, Stanislav Prytuliak, Jason P. Holland","doi":"10.1038/s44303-024-00027-1","DOIUrl":"10.1038/s44303-024-00027-1","url":null,"abstract":"In the context of molecularly targeted radiotherapy, dosimetry concerns in off-target tissues are a major limitation to the more wide-spread application of radiopharmaceuticals to treat diseases like cancer. Reducing off-target accumulation of radionuclides in background tissues, whilst maintaining high and specific uptake in disease sites and improving the therapeutic window, requires rethinking common radiotracer design concepts. This article explores ways in which innovative radiotracer chemistry (the making and breaking of bonds) is used to modify interactions with the host organism to control excretion profiles and dosimetry at the tissue-specific level.","PeriodicalId":501709,"journal":{"name":"npj Imaging","volume":" ","pages":"1-15"},"PeriodicalIF":0.0,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44303-024-00027-1.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141968561","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":"In vivo redox imaging of plasma-induced skin-inflammation in mice","authors":"Yassien Badr, Abdelazim Elsayed Elhelaly, Fuminori Hyodo, Koki Ichihashi, Hiroyuki Tomita, Yoshifumi Noda, Hiroki Kato, Masayuki Matsuo","doi":"10.1038/s44303-024-00029-z","DOIUrl":"10.1038/s44303-024-00029-z","url":null,"abstract":"Cold atmospheric plasma (CAP) generates reactive oxygen species (ROS) which induce biological effects on living cells. CAP has potential applications in medicine, but its highly reactive nature can lead to adverse skin complications. A noninvasive technique to examine redox changes in skin is needed for monitoring the treatment process. This study was conducted to develop a skin-inflammation model triggered by CAP-derived ROS and to monitor its progression noninvasively by in vivo dynamic nuclear polarization-MRI (DNP-MRI). The model was successfully developed by exposing the skin to both direct and remote modes of CAP. In vivo DNP-MRI imaging revealed faster reduction rates of TEMPOL in plasma-irradiated skin-inflammation areas, particularly in the remote mode plasma-irradiated skin. MRI revealed high-intensity areas in both the superficial and deep layers of the plasma-irradiated skin. The study highlights the potential importance of DNP-MRI in imaging skin-inflammation models and could improve the use of CAP in medical treatments.","PeriodicalId":501709,"journal":{"name":"npj Imaging","volume":" ","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44303-024-00029-z.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141968560","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":"Increased imaging ligand hydrophilicity and improved pharmacokinetic properties provides enhanced in vivo targeting of fibroblast activation protein","authors":"Radhika Narain, Ian Nessler, Paul L. Richardson, Jamie E. Erickson, Yuzhen Wang, Jacqueline Ferri, Heather L. Knight, Shaughn H. Bryant, Lucy A. Phillips, Liang Zhang, Soumya Mitra","doi":"10.1038/s44303-024-00028-0","DOIUrl":"10.1038/s44303-024-00028-0","url":null,"abstract":"In this work, the impact of physicochemical modifications on pharmacokinetics and in vivo targeting of a small molecule fibroblast activation protein inhibitor (FAPI) imaging ligand in a murine model of rheumatoid arthritis was evaluated. While similar ligands have been well-reported in oncology for molecular imaging and radiotherapy, there are limited reports of FAPI derivatives in targeted applications in immunology. As inflammation may increase both specific and non-specific delivery of targeted agents in general, we sought to identify the optimal targeted molecular imaging probe characteristics for efficient cell surface engagement. A series of FAPI derivatives were synthesized and their physicochemical properties modified via conjugation of fluorescent dyes and/or an albumin-binding small molecule. The impact of these modifications on cell surface binding affinity was assessed using an overexpressing cell line. Additionally, a thorough mechanistic characterization of fibroblast activation protein (FAP) cell surface internalization was evaluated in both overexpressing and endogenously expressing cells. Lastly, the pharmacokinetics and in vivo uptake in inflamed arthritic paws were characterized via near-infrared (NIR) imaging. All targeted molecular imaging agents tested maintained strong nanomolar binding affinity to cell surface FAP independent of chemical modification. The murine fibroblast-like synoviocytes expressed lower absolute cell-surface FAP compared to a transfected line, and the net internalization half-life measured for the transfected cells via flow cytometry was 7.2 h. The unmodified FAPI ligand exhibited the poorest in vivo targeting, likely resulting from its large apparent volume of distribution (62.7 ml) and rapid systemic clearance (t1/2 = 0.5 h). Conjugation of a charged, hydrophilic AF647 fluorophore decreased systemic clearance (t1/2 = 2.1 h) and demonstrated a 2-fold improvement in blocking FAPI-800CW engagement of FAP in vivo when compared to blocking of FAPI-800CW with FAPI with up to 2.8-fold improvements noted for the equivalent albumin binding construct comparison.","PeriodicalId":501709,"journal":{"name":"npj Imaging","volume":" ","pages":"1-11"},"PeriodicalIF":0.0,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44303-024-00028-0.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141968562","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":"TME-analyzer: a new interactive and dynamic image analysis tool that identified immune cell distances as predictors for survival of triple negative breast cancer patients","authors":"Hayri E. Balcioglu, Rebecca Wijers, Marcel Smid, Dora Hammerl, Anita M. Trapman-Jansen, Astrid Oostvogels, Mieke Timmermans, John W. M. Martens, Reno Debets","doi":"10.1038/s44303-024-00022-6","DOIUrl":"10.1038/s44303-024-00022-6","url":null,"abstract":"Spatial distribution of intra-tumoral immune cell populations is considered a critical determinant of tumor evolution and response to therapy. The accurate and systemic search for contexture-based predictors would be accelerated by methods that allow interactive visualization and interrogation of tumor micro-environments (TME), independent of image acquisition platforms. To this end, we have developed the TME-Analyzer, a new image analysis tool, which we have benchmarked against 2 software tools regarding densities and networks of immune effector cells using multiplexed immune-fluorescent images of triple negative breast cancer (TNBC). With the TME-Analyzer we have identified a 10-parameter classifier, predominantly featuring cellular distances, that significantly predicted overall survival, and which was validated using multiplexed ion beam time of flight images from an independent cohort. In conclusion, the TME-Analyzer enabled accurate interactive analysis of the spatial immune phenotype from different imaging platforms as well as enhanced utility and aided the discovery of contextual predictors towards the survival of TNBC patients.","PeriodicalId":501709,"journal":{"name":"npj Imaging","volume":" ","pages":"1-16"},"PeriodicalIF":0.0,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44303-024-00022-6.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141803913","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":"Advanced ultrasound methods to improve chronic kidney disease diagnosis","authors":"Susanne Fleig, Zuzanna Anna Magnuska, Patrick Koczera, Jannine Salewski, Sonja Djudjaj, Georg Schmitz, Fabian Kiessling","doi":"10.1038/s44303-024-00023-5","DOIUrl":"10.1038/s44303-024-00023-5","url":null,"abstract":"Chronic kidney disease (CKD) affects 850 million people worldwide and is associated with significant cardiovascular morbidity and mortality. Routine laboratory tests do not reflect early stages of microcirculatory changes and vascular rarefaction that characterise kidney fibrosis, the common endpoint of CKD. Imaging techniques that detect CKD in early stages could promote timely treatment with new drugs like SGLT2 inhibitors, thus, decreasing CKD progression and the cardiovascular disease burden. Ultrasound is the most used imaging modality in CKD, as it is non-invasive and radiation free. Initially, ultrasound imaging was applied to assess kidney macro-morphology and to rule out ureteral obstruction. The development of higher frequency probes allowed for more detailed imaging of kidney parenchyma, and advances in Doppler ultrasound provided insights into segmental arterial flow patterns including resistive indices as an indirect measure of microcirculatory impedance, elevated values of which correlated with progressive organ failure and fibrosis. Today, low-flow detection methods and matrix probes better resolve organ parenchyma and smaller vascular beds, and contrast-enhanced ultrasound allows perfusion measurement. Particularly, super-resolution ultrasound imaging, a technology currently being in clinical translation, can characterise the microcirculation morphologically and functionally in unrivalled detail. This is accompanied by rapid developments in radiomics and machine learning supporting ultrasound image acquisition and processing, as well as lesion detection and characterisation. This perspective article introduces emerging ultrasound methods for the diagnosis of CKD and discusses how the promising technical and analytical advancements can improve disease management after successful translation to clinical application.","PeriodicalId":501709,"journal":{"name":"npj Imaging","volume":" ","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44303-024-00023-5.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141968559","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}