Pub Date : 2024-11-13DOI: 10.1038/s44303-024-00053-z
Yuriko Mori, Emil Novruzov, Dominik Schmitt, Jens Cardinale, Tadashi Watabe, Peter L. Choyke, Abass Alavi, Uwe Haberkorn, Frederik L. Giesel
The discovery of fibroblast activation protein inhibitor positron emission tomography (FAPI-PET) has paved the way for a new class of PET tracers that target the tumor microenvironment (TME) rather than the tumor itself. Although 18F-fluorodeoxyglucose (FDG) is the most common PET tracer used in clinical imaging of cancer, multiple studies have now shown that the family of FAP ligands commonly outperform FDG in detecting cancers, especially those known to have lower uptake on FDG-PET. Moreover, FAPI-PET will have applications in benign fibrotic or inflammatory conditions. Thus, even while new FAPI-PET tracers are in development and applications are yet to enter clinical guidelines, a significant body of literature has emerged on FAPI-PET, suggesting it will have important clinical roles. This article summarizes the current state of clinical FAPI-PET imaging as well as potential uses as a theranostic agent.
成纤维细胞活化蛋白抑制剂正电子发射断层扫描（FAPI-PET）的发现，为针对肿瘤微环境（TME）而非肿瘤本身的新型 PET 示踪剂铺平了道路。虽然 18F-氟脱氧葡萄糖（FDG）是癌症临床成像中最常用的 PET 示踪剂，但多项研究表明，FAP 配体家族在检测癌症方面通常优于 FDG，尤其是那些已知在 FDG-PET 上摄取较低的癌症。此外，FAPI-PET 还可应用于良性纤维化或炎症。因此，尽管新的 FAPI-PET 示踪剂正在开发中，其应用也尚未进入临床指南，但关于 FAPI-PET 的大量文献已经出现，这表明它将发挥重要的临床作用。本文总结了 FAPI-PET 临床成像的现状以及作为治疗剂的潜在用途。
{"title":"Clinical applications of fibroblast activation protein inhibitor positron emission tomography (FAPI-PET)","authors":"Yuriko Mori, Emil Novruzov, Dominik Schmitt, Jens Cardinale, Tadashi Watabe, Peter L. Choyke, Abass Alavi, Uwe Haberkorn, Frederik L. Giesel","doi":"10.1038/s44303-024-00053-z","DOIUrl":"10.1038/s44303-024-00053-z","url":null,"abstract":"The discovery of fibroblast activation protein inhibitor positron emission tomography (FAPI-PET) has paved the way for a new class of PET tracers that target the tumor microenvironment (TME) rather than the tumor itself. Although 18F-fluorodeoxyglucose (FDG) is the most common PET tracer used in clinical imaging of cancer, multiple studies have now shown that the family of FAP ligands commonly outperform FDG in detecting cancers, especially those known to have lower uptake on FDG-PET. Moreover, FAPI-PET will have applications in benign fibrotic or inflammatory conditions. Thus, even while new FAPI-PET tracers are in development and applications are yet to enter clinical guidelines, a significant body of literature has emerged on FAPI-PET, suggesting it will have important clinical roles. This article summarizes the current state of clinical FAPI-PET imaging as well as potential uses as a theranostic agent.","PeriodicalId":501709,"journal":{"name":"npj Imaging","volume":" ","pages":"1-21"},"PeriodicalIF":0.0,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44303-024-00053-z.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142637014","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}
Pub Date : 2024-11-06DOI: 10.1038/s44303-024-00052-0
Xiaoyi Zhu, Luca Menozzi, Soon-Woo Cho, Junjie Yao
Photoacoustic microscopy (PAM) is a key implementation of photoacoustic imaging (PAI). PAM merges rich optical contrast with deep acoustic detection, allowing for broad biomedical research and diverse clinical applications. Recent advancements in PAM technology have dramatically improved its imaging speed, enabling real-time observation of dynamic biological processes in vivo and motion-sensitive targets in situ, such as brain activities and placental development. This review introduces the engineering principles of high-speed PAM, focusing on various excitation and detection methods, each presenting unique benefits and challenges. Driven by these technological innovations, high-speed PAM has expanded its applications across fundamental, preclinical, and clinical fields. We highlight these notable applications, discuss ongoing technical challenges, and outline future directions for the development of high-speed PAM.
{"title":"High speed innovations in photoacoustic microscopy","authors":"Xiaoyi Zhu, Luca Menozzi, Soon-Woo Cho, Junjie Yao","doi":"10.1038/s44303-024-00052-0","DOIUrl":"10.1038/s44303-024-00052-0","url":null,"abstract":"Photoacoustic microscopy (PAM) is a key implementation of photoacoustic imaging (PAI). PAM merges rich optical contrast with deep acoustic detection, allowing for broad biomedical research and diverse clinical applications. Recent advancements in PAM technology have dramatically improved its imaging speed, enabling real-time observation of dynamic biological processes in vivo and motion-sensitive targets in situ, such as brain activities and placental development. This review introduces the engineering principles of high-speed PAM, focusing on various excitation and detection methods, each presenting unique benefits and challenges. Driven by these technological innovations, high-speed PAM has expanded its applications across fundamental, preclinical, and clinical fields. We highlight these notable applications, discuss ongoing technical challenges, and outline future directions for the development of high-speed PAM.","PeriodicalId":501709,"journal":{"name":"npj Imaging","volume":" ","pages":"1-16"},"PeriodicalIF":0.0,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44303-024-00052-0.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142588296","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}
Pub Date : 2024-11-06DOI: 10.1038/s44303-024-00047-x
Denzel Fusco, Emmanouil Xypakis, Ylenia Gigante, Lorenza Mautone, Silvia Di Angelantonio, Giorgia Ponsi, Giancarlo Ruocco, Marco Leonetti
In super-resolution, a varying illumination image stack is required. This enriched dataset typically necessitates precise mechanical control and micron-scale optical alignment and repeatability. Here, we introduce a novel methodology for super-resolution microscopy called stochastically structured illumination microscopy (S2IM), which bypasses the need for illumination control exploiting instead the random, uncontrolled movement of the target object. We tested our methodology within the clinically relevant ophthalmoscopic setting, harnessing the inherent saccadic motion of the eye to induce stochastic displacement of the illumination pattern on the retina. We opted to avoid human subjects by utilizing a phantom eye model featuring a retina composed of human induced pluripotent stem cells (iPSC) retinal neurons and replicating the ocular saccadic movements by custom actuators. Our findings demonstrate that S2IM unlocks scan-less super-resolution with a resolution enhancement of 1.91, with promising prospects also beyond ophthalmoscopy applications such as active matter or atmospheric/astronomical observation.
{"title":"Stochastically structured illumination microscopy scan less super resolution imaging","authors":"Denzel Fusco, Emmanouil Xypakis, Ylenia Gigante, Lorenza Mautone, Silvia Di Angelantonio, Giorgia Ponsi, Giancarlo Ruocco, Marco Leonetti","doi":"10.1038/s44303-024-00047-x","DOIUrl":"10.1038/s44303-024-00047-x","url":null,"abstract":"In super-resolution, a varying illumination image stack is required. This enriched dataset typically necessitates precise mechanical control and micron-scale optical alignment and repeatability. Here, we introduce a novel methodology for super-resolution microscopy called stochastically structured illumination microscopy (S2IM), which bypasses the need for illumination control exploiting instead the random, uncontrolled movement of the target object. We tested our methodology within the clinically relevant ophthalmoscopic setting, harnessing the inherent saccadic motion of the eye to induce stochastic displacement of the illumination pattern on the retina. We opted to avoid human subjects by utilizing a phantom eye model featuring a retina composed of human induced pluripotent stem cells (iPSC) retinal neurons and replicating the ocular saccadic movements by custom actuators. Our findings demonstrate that S2IM unlocks scan-less super-resolution with a resolution enhancement of 1.91, with promising prospects also beyond ophthalmoscopy applications such as active matter or atmospheric/astronomical observation.","PeriodicalId":501709,"journal":{"name":"npj Imaging","volume":" ","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44303-024-00047-x.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142588291","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}
Pub Date : 2024-11-06DOI: 10.1038/s44303-024-00043-1
Segos Ioannis, Van Eeckhoven Jens, Greig Alan, Redd Michael, Thrasivoulou Christopher, Conradt Barbara
Super-resolution (SR) 3D rendering allows superior quantitative analysis of intracellular structures but has largely been limited to fixed or ex vivo samples. Here we developed a method to perform SR live imaging of mitochondria during post-embryonic development of C. elegans larvae. Our workflow includes the drug-free mechanical immobilisation of animals using polystyrene nanobeads, which has previously not been used for in vivo SR imaging. Based on the alignment of moving objects and global threshold-based image segmentation, our method enables an efficient 3D reconstruction of individual mitochondria. We demonstrate for the first time that the frequency distribution of fluorescence intensities is not affected by photobleaching, and that global thresholding alone enables the quantitative comparison of mitochondria along timeseries. Our composite approach significantly improves the study of biological structures and processes in SR during C. elegans post-embryonic development. Furthermore, the discovery that image segmentation does not require any prior correction against photobleaching, a fundamental problem in fluorescence microscopy, will impact experimental strategies aimed at quantitatively studying the dynamics of organelles and other intracellular compartments in any biological system.
超分辨率（SR）三维渲染技术可对细胞内结构进行出色的定量分析，但该技术在很大程度上仅限于固定或体外样本。在此，我们开发了一种方法，对线粒体在优雅类幼虫胚后发育过程中进行 SR 实时成像。我们的工作流程包括使用聚苯乙烯纳米吸附剂对动物进行无药物机械固定，这种方法以前从未用于体内 SR 成像。基于移动物体的对齐和基于全局阈值的图像分割，我们的方法实现了单个线粒体的高效三维重建。我们首次证明，荧光强度的频率分布不受光漂白的影响，而且仅靠全局阈值就能定量比较线粒体的时间序列。我们的复合方法大大改进了对线粒体在胚后发育过程中的生物结构和过程的研究。此外，图像分割不需要事先对荧光显微镜中的一个基本问题--光漂白进行任何校正，这一发现将对定量研究任何生物系统中细胞器和其他细胞内区室动态的实验策略产生影响。
{"title":"Impact of photobleaching on quantitative, spatio-temporal, super-resolution imaging of mitochondria in live C. elegans larvae","authors":"Segos Ioannis, Van Eeckhoven Jens, Greig Alan, Redd Michael, Thrasivoulou Christopher, Conradt Barbara","doi":"10.1038/s44303-024-00043-1","DOIUrl":"10.1038/s44303-024-00043-1","url":null,"abstract":"Super-resolution (SR) 3D rendering allows superior quantitative analysis of intracellular structures but has largely been limited to fixed or ex vivo samples. Here we developed a method to perform SR live imaging of mitochondria during post-embryonic development of C. elegans larvae. Our workflow includes the drug-free mechanical immobilisation of animals using polystyrene nanobeads, which has previously not been used for in vivo SR imaging. Based on the alignment of moving objects and global threshold-based image segmentation, our method enables an efficient 3D reconstruction of individual mitochondria. We demonstrate for the first time that the frequency distribution of fluorescence intensities is not affected by photobleaching, and that global thresholding alone enables the quantitative comparison of mitochondria along timeseries. Our composite approach significantly improves the study of biological structures and processes in SR during C. elegans post-embryonic development. Furthermore, the discovery that image segmentation does not require any prior correction against photobleaching, a fundamental problem in fluorescence microscopy, will impact experimental strategies aimed at quantitatively studying the dynamics of organelles and other intracellular compartments in any biological system.","PeriodicalId":501709,"journal":{"name":"npj Imaging","volume":" ","pages":"1-15"},"PeriodicalIF":0.0,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44303-024-00043-1.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142588277","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}
Pub Date : 2024-11-06DOI: 10.1038/s44303-024-00051-1
Veronica Clavijo Jordan, André F. Martins, Erica Dao, Kalotina Geraki, Sara Chirayil, Xiaodong Wen, Pooyan Khalighinejad, Daniel Parrott, Xiaojing Wang, Patricia Gonzalez Pagan, Neil Rofsky, Michael Farquharson, A. Dean Sherry
Previous studies have shown that the zinc-responsive MRI probe, GdL1, can distinguish healthy versus malignant prostate tissues based upon differences in zinc content and secretion. In this study, mice were fed chow containing low, normal, or high zinc content for 3 weeks before imaging glucose stimulated zinc secretion (GSZS) by MRI. The distribution of zinc in prostate tissue in these three groups was imaged by synchrotron radiation X-ray fluorescence (SR-XRF). A zinc deficiency caused systemic and organ-level dysregulation, weight loss, and altered zinc bioavailability. Zinc efflux from the prostate increased in parallel to dietary zinc in healthy mice but not in TRAMP mice, consistent with a lowered capacity to store dietary zinc in malignant cells. This differential zinc efflux suggests that a dietary supplement of zinc prior to a GSZS study may enhance image contrast between healthy and malignant prostate tissue, thereby improving the accuracy of prostate cancer detection in man.
{"title":"Impact of dietary zinc on stimulated zinc secretion MRI in the healthy and malignant mouse prostate","authors":"Veronica Clavijo Jordan, André F. Martins, Erica Dao, Kalotina Geraki, Sara Chirayil, Xiaodong Wen, Pooyan Khalighinejad, Daniel Parrott, Xiaojing Wang, Patricia Gonzalez Pagan, Neil Rofsky, Michael Farquharson, A. Dean Sherry","doi":"10.1038/s44303-024-00051-1","DOIUrl":"10.1038/s44303-024-00051-1","url":null,"abstract":"Previous studies have shown that the zinc-responsive MRI probe, GdL1, can distinguish healthy versus malignant prostate tissues based upon differences in zinc content and secretion. In this study, mice were fed chow containing low, normal, or high zinc content for 3 weeks before imaging glucose stimulated zinc secretion (GSZS) by MRI. The distribution of zinc in prostate tissue in these three groups was imaged by synchrotron radiation X-ray fluorescence (SR-XRF). A zinc deficiency caused systemic and organ-level dysregulation, weight loss, and altered zinc bioavailability. Zinc efflux from the prostate increased in parallel to dietary zinc in healthy mice but not in TRAMP mice, consistent with a lowered capacity to store dietary zinc in malignant cells. This differential zinc efflux suggests that a dietary supplement of zinc prior to a GSZS study may enhance image contrast between healthy and malignant prostate tissue, thereby improving the accuracy of prostate cancer detection in man.","PeriodicalId":501709,"journal":{"name":"npj Imaging","volume":" ","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44303-024-00051-1.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142588292","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}
Pub Date : 2024-11-06DOI: 10.1038/s44303-024-00048-w
Luca Menozzi, Junjie Yao
Photoacoustic computed tomography (PACT) can harvest diffusive photons to image the optical absorption contrast of molecules in a scattering medium, with ultrasonically-defined spatial resolution. PACT has been extensively used in preclinical research for imaging functional and molecular information in various animal models, with recent clinical translations. In this review, we aim to highlight the recent technical breakthroughs in PACT and the emerging preclinical and clinical applications in deep tissue imaging.
{"title":"Deep tissue photoacoustic imaging with light and sound","authors":"Luca Menozzi, Junjie Yao","doi":"10.1038/s44303-024-00048-w","DOIUrl":"10.1038/s44303-024-00048-w","url":null,"abstract":"Photoacoustic computed tomography (PACT) can harvest diffusive photons to image the optical absorption contrast of molecules in a scattering medium, with ultrasonically-defined spatial resolution. PACT has been extensively used in preclinical research for imaging functional and molecular information in various animal models, with recent clinical translations. In this review, we aim to highlight the recent technical breakthroughs in PACT and the emerging preclinical and clinical applications in deep tissue imaging.","PeriodicalId":501709,"journal":{"name":"npj Imaging","volume":" ","pages":"1-12"},"PeriodicalIF":0.0,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44303-024-00048-w.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142588265","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}
Pub Date : 2024-10-07DOI: 10.1038/s44303-024-00046-y
Biqi Chen, Zi Yin, Billy Wai-Lung Ng, Dan Michelle Wang, Rocky S. Tuan, Ryoma Bise, Dai Fei Elmer Ker
Label-free, live cell recognition (i.e. instance segmentation) and tracking using computer vision-aided recognition can be a powerful tool that rapidly generates multi-modal readouts of cell populations at single cell resolution. However, this technology remains hindered by the lack of accurate, universal algorithms. This review presents related biological and computer vision concepts to bridge these disciplines, paving the way for broad applications in cell-based diagnostics, drug discovery, and biomanufacturing.
{"title":"Label-free live cell recognition and tracking for biological discoveries and translational applications","authors":"Biqi Chen, Zi Yin, Billy Wai-Lung Ng, Dan Michelle Wang, Rocky S. Tuan, Ryoma Bise, Dai Fei Elmer Ker","doi":"10.1038/s44303-024-00046-y","DOIUrl":"10.1038/s44303-024-00046-y","url":null,"abstract":"Label-free, live cell recognition (i.e. instance segmentation) and tracking using computer vision-aided recognition can be a powerful tool that rapidly generates multi-modal readouts of cell populations at single cell resolution. However, this technology remains hindered by the lack of accurate, universal algorithms. This review presents related biological and computer vision concepts to bridge these disciplines, paving the way for broad applications in cell-based diagnostics, drug discovery, and biomanufacturing.","PeriodicalId":501709,"journal":{"name":"npj Imaging","volume":" ","pages":"1-26"},"PeriodicalIF":0.0,"publicationDate":"2024-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44303-024-00046-y.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142383541","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}
Pub Date : 2024-10-01DOI: 10.1038/s44303-024-00042-2
Kanghyun Kim, Amey Chaware, Clare B. Cook, Shiqi Xu, Monica Abdelmalak, Colin Cooke, Kevin C. Zhou, Mark Harfouche, Paul Reamey, Veton Saliu, Jed Doman, Clay Dugo, Gregor Horstmeyer, Richard Davis, Ian Taylor-Cho, Wen-Chi Foo, Lucas Kreiss, Xiaoyin Sara Jiang, Roarke Horstmeyer
Optical microscopy has long been the standard method for diagnosis in cytopathology. Whole slide scanners can image and digitize large sample areas automatically, but are slow, expensive and therefore not widely available. Clinical diagnosis of cytology specimens is especially challenging since these samples are both spread over large areas and thick, which requires 3D capture. Here, we introduce a new parallelized microscope for scanning thick specimens across extremely wide fields-of-view (54 × 72 mm2) at 1.2 and 0.6 μm resolutions, accompanied by machine learning software to rapidly assess these 16 gigapixel scans. This Multi-Camera Array Scanner (MCAS) comprises 48 micro-cameras closely arranged to simultaneously image different areas. By capturing 624 megapixels per snapshot, the MCAS is significantly faster than most conventional whole-slide scanners. We used this system to digitize entire cytology samples (scanning three entire slides in 3D in just several minutes) and demonstrate two machine learning techniques to assist pathologists: first, an adenocarcinoma detection model in lung specimens (0.73 recall); second, a slide-level classification model of lung smears (0.969 AUC).
{"title":"Rapid 3D imaging at cellular resolution for digital cytopathology with a multi-camera array scanner (MCAS)","authors":"Kanghyun Kim, Amey Chaware, Clare B. Cook, Shiqi Xu, Monica Abdelmalak, Colin Cooke, Kevin C. Zhou, Mark Harfouche, Paul Reamey, Veton Saliu, Jed Doman, Clay Dugo, Gregor Horstmeyer, Richard Davis, Ian Taylor-Cho, Wen-Chi Foo, Lucas Kreiss, Xiaoyin Sara Jiang, Roarke Horstmeyer","doi":"10.1038/s44303-024-00042-2","DOIUrl":"10.1038/s44303-024-00042-2","url":null,"abstract":"Optical microscopy has long been the standard method for diagnosis in cytopathology. Whole slide scanners can image and digitize large sample areas automatically, but are slow, expensive and therefore not widely available. Clinical diagnosis of cytology specimens is especially challenging since these samples are both spread over large areas and thick, which requires 3D capture. Here, we introduce a new parallelized microscope for scanning thick specimens across extremely wide fields-of-view (54 × 72 mm2) at 1.2 and 0.6 μm resolutions, accompanied by machine learning software to rapidly assess these 16 gigapixel scans. This Multi-Camera Array Scanner (MCAS) comprises 48 micro-cameras closely arranged to simultaneously image different areas. By capturing 624 megapixels per snapshot, the MCAS is significantly faster than most conventional whole-slide scanners. We used this system to digitize entire cytology samples (scanning three entire slides in 3D in just several minutes) and demonstrate two machine learning techniques to assist pathologists: first, an adenocarcinoma detection model in lung specimens (0.73 recall); second, a slide-level classification model of lung smears (0.969 AUC).","PeriodicalId":501709,"journal":{"name":"npj Imaging","volume":" ","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44303-024-00042-2.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142360081","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}
Pub Date : 2024-10-01DOI: 10.1038/s44303-024-00049-9
Khrishanthne Sambasivan, Will E. Tyrrell, Rizwan Farooq, Jenasee Mynerich, Richard S. Edwards, Muhammet Tanc, Teresa Guerrero Urbano, Timothy H. Witney
{"title":"Author Correction: [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/s44303-024-00049-9","DOIUrl":"10.1038/s44303-024-00049-9","url":null,"abstract":"","PeriodicalId":501709,"journal":{"name":"npj Imaging","volume":" ","pages":"1-1"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44303-024-00049-9.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142360076","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}
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