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Characterizing Immune Responses in Whole Slide Images of Cancer With Digital Pathology and Pathomics

Rajarsi Gupta, Han Le, John Van Arnam, David Belinsky, Mahmudul Hasan, Dimitris Samaras, Tahsin Kurc, Joel H. Saltz
<span title="2020-12-23">2020</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/qm3slaiugrgmhficqodunyls7i" style="color: black;">Current Pathobiology Reports</a> </i> &nbsp;
We highlight a novel Pathomics application, Tumor-TILs, that quantitatively measures and generates maps of tumor infiltrating lymphocytes in breast, pancreatic, and lung cancer by leveraging deep learning  ...  Purpose of Review Our goal is to show how readily available Pathomics tissue analytics can be used to study tumor immune interactions in cancer.  ...  , pancreatic, and lung cancer.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s40139-020-00217-7">doi:10.1007/s40139-020-00217-7</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/w7svwmewh5cmnnpbu7nztpb7hu">fatcat:w7svwmewh5cmnnpbu7nztpb7hu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210429041135/https://link.springer.com/content/pdf/10.1007/s40139-020-00217-7.pdf?error=cookies_not_supported&amp;code=5af4d88a-d4a0-48f0-8546-24d115ffc16c" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/78/77/78771585486ba5ec0456632c492760d8e9ae91ef.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s40139-020-00217-7"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a>

Hierarchical Classification of Pulmonary Lesions: A Large-Scale Radio-Pathomics Study [chapter]

Jiancheng Yang, Mingze Gao, Kaiming Kuang, Bingbing Ni, Yunlang She, Dong Xie, Chang Chen
<span title="">2020</span> <i title="Springer International Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/2w3awgokqne6te4nvlofavy5a4" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
Deep learning has achieved great success in computer aided diagnosis (CADx) area for lung cancer, whereas it suffers from label ambiguity due to the difficulty in the radiological diagnosis.  ...  Considering that invasive pathological analysis serves as the clinical golden standard of lung cancer diagnosis, in this study, we solve the label ambiguity issue via a large-scale radio-pathomics dataset  ...  DenseSharp [28] introduces deep learning methodology in the radio-pathomics research for lung cancer.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-030-59725-2_48">doi:10.1007/978-3-030-59725-2_48</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sbbznexbpzgq7npxizwmz22yfy">fatcat:sbbznexbpzgq7npxizwmz22yfy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201018032729/https://arxiv.org/pdf/2010.04049v1.pdf" title="fulltext PDF download [not primary version]" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <span style="color: #f43e3e;">&#10033;</span> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/978-3-030-59725-2_48"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

RadioPathomics: Multimodal Learning in Non-Small Cell Lung Cancer for Adaptive Radiotherapy [article]

Matteo Tortora, Ermanno Cordelli, Rosa Sicilia, Lorenzo Nibid, Edy Ippolito, Giuseppe Perrone, Sara Ramella, Paolo Soda
<span title="2022-04-26">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
for non-small-cell lung cancer patients.  ...  In this work we therefore develop a multimodal late fusion approach that combines hand-crafted features computed from radiomics, pathomics and clinical data to predict radiation therapy treatment outcomes  ...  non-small cell lung cancer (CLARO)", by PON "Ricerca e Innovazione 2014-2020, Azioni IV.4 -Dottorati e contratti di ricerca su tematiche dell'innovazione" and by Regione Lazio under the program "PO FSE  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2204.12423v1">arXiv:2204.12423v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6c375e3sfvetzmev4bwxqnqggq">fatcat:6c375e3sfvetzmev4bwxqnqggq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220521141631/https://arxiv.org/pdf/2204.12423v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ad/d6/add61b715410dafd99cd75c0282ea0f82220ec5e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2204.12423v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Deep Learning in Head and Neck Tumor Multiomics Diagnosis and Analysis: Review of the Literature

Xi Wang, Bin-bin Li
<span title="2021-02-10">2021</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/r7trx2kj6je5jhtaoy3rztibgy" style="color: black;">Frontiers in Genetics</a> </i> &nbsp;
Deep learning (DL), a type of artificial intelligence (AI), is applied in medical image analysis.  ...  We also evaluated its application in early tumor detection, classification, prognosis/metastasis prediction, and the signing out of the reports.  ...  TABLE 1 | 1 Summary of deep learning models for H&N tumor Pathomics analysis.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fgene.2021.624820">doi:10.3389/fgene.2021.624820</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33643386">pmid:33643386</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7902873/">pmcid:PMC7902873</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/eofflp46c5h6pd5gbni7sdnp5u">fatcat:eofflp46c5h6pd5gbni7sdnp5u</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210224022542/https://fjfsdata01prod.blob.core.windows.net/articles/files/624820/pubmed-zip/.versions/1/.package-entries/fgene-12-624820/fgene-12-624820.pdf?sv=2018-03-28&amp;sr=b&amp;sig=uxG3%2FK%2BjckkyJk8Nm9vU%2FeMIL5oaoO98vq4kKzwCUsc%3D&amp;se=2021-02-24T02%3A26%3A11Z&amp;sp=r&amp;rscd=attachment%3B%20filename%2A%3DUTF-8%27%27fgene-12-624820.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/ea/10/ea109e63c5e358df37c678e3a839941e09a779ad.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fgene.2021.624820"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> frontiersin.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7902873" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Clinical use of machine learning-based patho-mics signature for diagnosis and survival prediction of bladder cancer

Siteng Chen, Liren Jiang, Xinyi Zheng, Jialiang Shao, Tao Wang, Encheng Zhang, Feng Gao, Xiang Wang, Junhua Zheng
<span title="2021-05-01">2021</span> <i title="Wiley (Blackwell Publishing)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/rnoo45wedrc6toyzxy2l7ullbi" style="color: black;">Cancer Science</a> </i> &nbsp;
We collected a total of 643 hematoxylin-eosin strained BCa images from Shanghai General Hospital and The Cancer Genome Atlas (TCGA).  ...  Traditional histopathology performed by pathologists through naked eyes is insufficient for accurate and efficient diagnosis of bladder cancer (BCa).  ...  learning is being gradually used in medical image processing for multiple malignant tumors, including breast cancer, 5 lung adenocarcinoma, 6 neuro-oncology, 7 and skin carcinoma. 8 However, primary  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1111/cas.14927">doi:10.1111/cas.14927</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33931925">pmid:33931925</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mbcwqz5b6zezbacnfmv6p2q4ha">fatcat:mbcwqz5b6zezbacnfmv6p2q4ha</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210718071053/https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/cas.14927" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/45/30/4530bc3a08f2fdef4dbd4fe09ba1e689e715c307.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1111/cas.14927"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Structural and functional radiomics for lung cancer

Guangyao Wu, Arthur Jochems, Turkey Refaee, Abdalla Ibrahim, Chenggong Yan, Sebastian Sanduleanu, Henry C. Woodruff, Philippe Lambin
<span title="2021-03-11">2021</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5i3tlebejzfxfoahy2rzxggcz4" style="color: black;">European Journal of Nuclear Medicine and Molecular Imaging</a> </i> &nbsp;
Introduction Lung cancer ranks second in new cancer cases and first in cancer-related deaths worldwide.  ...  response evaluation, and prognosis in the field of lung cancer.  ...  Other omics can be included in the Medomics, such as pathomics and lipidomics assessing segmentation efficiency.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s00259-021-05242-1">doi:10.1007/s00259-021-05242-1</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33693966">pmid:33693966</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8484174/">pmcid:PMC8484174</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/obo4bghkp5gx3a52ibiuvq22hq">fatcat:obo4bghkp5gx3a52ibiuvq22hq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210718072754/https://link.springer.com/content/pdf/10.1007/s00259-021-05242-1.pdf?error=cookies_not_supported&amp;code=835e9296-c40b-4676-9afc-861d095c2d7d" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/82/9f/829f739d26bd7f33fea1470a5f55abba2a898ad3.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s00259-021-05242-1"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8484174" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Artificial Intelligence for the Future Radiology Diagnostic Service

Seong K. Mun, Kenneth H. Wong, Shih-Chung B. Lo, Yanni Li, Shijir Bayarsaikhan
<span title="2021-01-28">2021</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/zqzewb742bdglfxhkef3ke6cla" style="color: black;">Frontiers in Molecular Biosciences</a> </i> &nbsp;
Among various AI techniques, deep-learning convolutional neural networks (CNN) and its variants have been widely used in medical image pattern recognition.  ...  Radiology historically has been a leader of digital transformation in healthcare.  ...  Most of the CADe products for lung cancer screen started using the openly available images in TCIA, which holds the CT images from the national lung cancer screening trial.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fmolb.2020.614258">doi:10.3389/fmolb.2020.614258</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33585563">pmid:33585563</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7875875/">pmcid:PMC7875875</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jx42zsptrvc7dfhs6muqfmcrkm">fatcat:jx42zsptrvc7dfhs6muqfmcrkm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210130223213/https://fjfsdata01prod.blob.core.windows.net/articles/files/614258/pubmed-zip/.versions/1/.package-entries/fmolb-07-614258.pdf?sv=2018-03-28&amp;sr=b&amp;sig=b5ZZF0VGSHBeeQ5vzsBfyeFjstgyaFCdPDlrBkxAFw4%3D&amp;se=2021-01-30T22%3A32%3A42Z&amp;sp=r&amp;rscd=attachment%3B%20filename%2A%3DUTF-8%27%27fmolb-07-614258.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/7f/7c/7f7cd64afcef15e7c1e9a9130bae58d51c8b7586.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fmolb.2020.614258"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> frontiersin.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7875875" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Artificial Intelligence & Tissue Biomarkers: Advantages, Risks and Perspectives for Pathology

Cesare Lancellotti, Pierandrea Cancian, Victor Savevski, Soumya Rupa Reddy Kotha, Filippo Fraggetta, Paolo Graziano, Luca Di Tommaso
<span title="2021-04-02">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/s3iichab3fbz7jq46o55l6trkq" style="color: black;">Cells</a> </i> &nbsp;
Tissue Biomarkers are information written in the tissue and used in Pathology to recognize specific subsets of patients with diagnostic, prognostic or predictive purposes, thus representing the key elements  ...  In this review we will present how AI has been used to support Tissue Biomarkers evaluation in the specific field of Pathology, give an insight to the intriguing field of AI-based biomarkers and discuss  ...  Pioneering studies recently explored the associations between radiomic and its counterpart on digital Pathology images (i.e., pathomic) in lung and breast cancer and revealed promising preliminary results  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/cells10040787">doi:10.3390/cells10040787</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33918173">pmid:33918173</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sa3hjejz2nctxbizlohtp6dojy">fatcat:sa3hjejz2nctxbizlohtp6dojy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210420022044/https://res.mdpi.com/d_attachment/cells/cells-10-00787/article_deploy/cells-10-00787-v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/1e/2c/1e2cdf1f0ae1274af8b39f626152a8451b49b8dc.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/cells10040787"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

Deep Learning With Radiomics for Disease Diagnosis and Treatment: Challenges and Potential

Xingping Zhang, Yanchun Zhang, Guijuan Zhang, Xingting Qiu, Wenjun Tan, Xiaoxia Yin, Liefa Liao
<span title="2022-02-17">2022</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/mefn5t5kjndavkrqau5bzfpaoe" style="color: black;">Frontiers in Oncology</a> </i> &nbsp;
In addition, deep learning-based techniques for automatic segmentation and radiomic analysis are being analyzed to address limitations such as rigorous workflow, manual/semi-automatic lesion annotation  ...  summarized, highlighting the latest progress in radiomics.  ...  Concerning cancer tissue separation in WSI, Li et al. (88) compared 10 deep learningbased multi-model and single-model methods for lung cancer segmentation.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fonc.2022.773840">doi:10.3389/fonc.2022.773840</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/35251962">pmid:35251962</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8891653/">pmcid:PMC8891653</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3h5tnm3aznb33k5ylkcd6tvs4e">fatcat:3h5tnm3aznb33k5ylkcd6tvs4e</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220218061800/https://fjfsdata01prod.blob.core.windows.net/articles/files/773840/pubmed-zip/.versions/1/.package-entries/fonc-12-773840.pdf?sv=2018-03-28&amp;sr=b&amp;sig=ujsldHpLEux%2FsTXkFUBWJB9PdZomL1JxYYHoJrandRA%3D&amp;se=2022-02-18T06%3A18%3A29Z&amp;sp=r&amp;rscd=attachment%3B%20filename%2A%3DUTF-8%27%27fonc-12-773840.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/7c/5c/7c5c807f58c8458887815958c1978bff11e4be57.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fonc.2022.773840"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> frontiersin.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8891653" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

CT derived radiomic score for predicting the added benefit of adjuvant chemotherapy following surgery in stage I, II resectable non-small cell lung cancer: a retrospective multicohort study for outcome prediction

Pranjal Vaidya, Kaustav Bera, Amit Gupta, Xiangxue Wang, Germán Corredor, Pingfu Fu, Niha Beig, Prateek Prasanna, Pradnya D Patil, Priya D Velu, Prabhakar Rajiah, Robert Gilkeson (+4 others)
<span title="2020-02-13">2020</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/tc54ndgskvaxfmi4eu6cvvip7q" style="color: black;">The Lancet Digital Health</a> </i> &nbsp;
Development and validation of a quantitative radiomic risk score (QuRiS) and associated nomogram (QuRNom) for early-stage non-small cell lung cancer (ES-NSCLC) that is prognostic of disease-free survival  ...  To explore the underlying morphologic basis of the QuRiS, we explored associations with corresponding whole-slide tissue scans (WSIs) and mRNA sequencing data using subsets of D1 and D3.  ...  Acknowledgments The research reported in this publication was supported by the National Cancer Institute of the National Institutes of Health under award numbers 1U24CA199374-01, R01CA202752-01A1 R01CA208236  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/s2589-7500(20)30002-9">doi:10.1016/s2589-7500(20)30002-9</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/32123864">pmid:32123864</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7051021/">pmcid:PMC7051021</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qo6oyonbm5dsnpqysh7f3vrxoa">fatcat:qo6oyonbm5dsnpqysh7f3vrxoa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210527043459/http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC7051021&amp;blobtype=pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/a7/0e/a70ec6edd95e98379b078584e3c3521be09513a4.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/s2589-7500(20)30002-9"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> elsevier.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7051021" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

An Assessment of Imaging Informatics for Precision Medicine in Cancer

C. Chennubhotla, L. P. Clarke, A. Fedorov, D. Foran, G. Harris, E. Helton, R. Nordstrom, F. Prior, D. Rubin, J. H. Saltz, E. Shalley, A. Sharma
<span title="">2017</span> <i title="Georg Thieme Verlag KG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/25ybzim6mvglde3zgjvka7ehii" style="color: black;">IMIA Yearbook of Medical Informatics</a> </i> &nbsp;
Methods: The National Cancer Institute (NCI) organized several workshops on the topic of medical imaging and precision medicine. The observations and recommendations are summarized herein.  ...  Results: Recommendations include: use of standards in data collection and clinical correlates to promote interoperability; data sharing and validation of imaging tools; clinician's feedback in all phases  ...  acknowledge the participants of the various workshops, the community of informaticians, medical imaging researchers, and clinical collaborators who are helping advance the goal of quantitative imaging in  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1055/s-0037-1606490">doi:10.1055/s-0037-1606490</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/4hbtzht63bfivfyhyhkr2bgbom">fatcat:4hbtzht63bfivfyhyhkr2bgbom</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180725084627/https://www.thieme-connect.de/products/ejournals/pdf/10.15265/IY-2017-041.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/44/33/4433c7cbcd8f696dc71f4b3d258eeb23568360f3.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1055/s-0037-1606490"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

An Assessment of Imaging Informatics for Precision Medicine in Cancer

C. Chennubhotla, L. P. Clarke, A. Fedorov, D. Foran, G. Harris, E. Helton, R. Nordstrom, F. Prior, D. Rubin, J. H. Saltz, E. Shalley, A. Sharma
<span title="">2017</span> <i title="Schattauer GmbH"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/25ybzim6mvglde3zgjvka7ehii" style="color: black;">IMIA Yearbook of Medical Informatics</a> </i> &nbsp;
Methods: The National Cancer Institute (NCI) organized several workshops on the topic of medical imaging and precision medicine. The observations and recommendations are summarized herein.  ...  Results: Recommendations include: use of standards in data collection and clinical correlates to promote interoperability; data sharing and validation of imaging tools; clinician's feedback in all phases  ...  acknowledge the participants of the various workshops, the community of informaticians, medical imaging researchers, and clinical collaborators who are helping advance the goal of quantitative imaging in  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.15265/iy-2017-041">doi:10.15265/iy-2017-041</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/29063549">pmid:29063549</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC6250996/">pmcid:PMC6250996</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/ktdiwnamzbat7emfmfz2ddq3py">fatcat:ktdiwnamzbat7emfmfz2ddq3py</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190223185535/http://pdfs.semanticscholar.org/4b89/06ed7e476ac039858041bf813fae1ef61941.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/4b/89/4b8906ed7e476ac039858041bf813fae1ef61941.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.15265/iy-2017-041"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6250996" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Actinobacteria From Desert: Diversity and Biotechnological Applications

Feiyang Xie, Wasu Pathom-aree
<span title="2021-12-09">2021</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/67anf6qgandy5adz4rakospiuq" style="color: black;">Frontiers in Microbiology</a> </i> &nbsp;
Bioactive compounds obtained from desert actinobacteria are being continuously explored for their biotechnological potential, especially in medicine.  ...  In addition, several degradative, oxidative, and other functional enzymes from desert strains can be applied in the industry and the environment.  ...  the human lung cancer cell line A549 Mycobacterium smegmatis.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fmicb.2021.765531">doi:10.3389/fmicb.2021.765531</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/34956128">pmid:34956128</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8696123/">pmcid:PMC8696123</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/72bicff6anffppwlz6wof3zbou">fatcat:72bicff6anffppwlz6wof3zbou</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211216115851/https://fjfsdata01prod.blob.core.windows.net/articles/files/765531/pubmed-zip/.versions/1/.package-entries/fmicb-12-765531/fmicb-12-765531.pdf?sv=2018-03-28&amp;sr=b&amp;sig=IKa2hBLLNNOtuqvXoaUegWPFEJvo9kkx5JyRlAgREMk%3D&amp;se=2021-12-16T11%3A59%3A20Z&amp;sp=r&amp;rscd=attachment%3B%20filename%2A%3DUTF-8%27%27fmicb-12-765531.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/38/a2/38a2d326e33fb607461a6cab43d735c82c069fde.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fmicb.2021.765531"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> frontiersin.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8696123" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Deep Multi-modal Fusion of Image and Non-image Data in Disease Diagnosis and Prognosis: A Review [article]

Can Cui, Haichun Yang, Yaohong Wang, Shilin Zhao, Zuhayr Asad, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, Yuankai Huo
<span title="2022-03-30">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
With the recent advances in multi-modal deep learning technologies, an increasingly large number of efforts have been devoted to a key question: how do we extract and aggregate multi-modal information  ...  For instance, the personalized diagnosis and treatment planning for a single cancer patient relies on the various images (e.g., radiological, pathological, and camera images) and non-image data (e.g.,  ...  Pathologi Genomic data 106 patients from TCGA- Survival Prediction of lung 2017 [42] cal LUSC, and 126 patients from cancer and brain cancer images the TCGA-GBM.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2203.15588v2">arXiv:2203.15588v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/yaebqxjvg5avjfnpjmgtw37lzu">fatcat:yaebqxjvg5avjfnpjmgtw37lzu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220507190720/https://arxiv.org/vc/arxiv/papers/2203/2203.15588v1.pdf" title="fulltext PDF download [not primary version]" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <span style="color: #f43e3e;">&#10033;</span> <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/1f/e9/1fe9c712fd453706bebb0bd70e251838b5573562.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2203.15588v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Modern MR Imaging Technology in Rectal Cancer; There Is More Than Meets the Eye

Hester E. Haak, Monique Maas, Stefano Trebeschi, Regina G. H. Beets-Tan
<span title="2020-10-08">2020</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/mefn5t5kjndavkrqau5bzfpaoe" style="color: black;">Frontiers in Oncology</a> </i> &nbsp;
This narrative review provides an overview of recent advances in rectal cancer (re)staging by imaging with a specific focus on response prediction and evaluation of neoadjuvant treatment response.  ...  MR imaging (MRI) is now part of the standard work up of patients with rectal cancer. Restaging MRI has been traditionally used to plan the surgical approach.  ...  Yet evidence is limited and MT imaging is only explored in research setting.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fonc.2020.537532">doi:10.3389/fonc.2020.537532</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33117678">pmid:33117678</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7578261/">pmcid:PMC7578261</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3gfuobz37ffpnigy247shlkhse">fatcat:3gfuobz37ffpnigy247shlkhse</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210427161133/https://findresearcher.sdu.dk:8443/ws/files/174359351/Open_Access_Version.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/d0/27/d02790556b0cd57a015003d7bc5742fdadc3dc32.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fonc.2020.537532"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> frontiersin.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7578261" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>
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