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  1. Article: Editorial: Reviews in thoracic oncology.

    Kanellakis, Nikolaos I

    Frontiers in oncology

    2023  Volume 13, Page(s) 1209924

    Language English
    Publishing date 2023-05-11
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2649216-7
    ISSN 2234-943X
    ISSN 2234-943X
    DOI 10.3389/fonc.2023.1209924
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Reply to Yasuma

    Bedawi, Eihab O / Kanellakis, Nikolaos I / Rahman, Najib M

    American journal of respiratory and critical care medicine

    2022  Volume 207, Issue 7, Page(s) 950

    Language English
    Publishing date 2022-11-22
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 1180953-x
    ISSN 1535-4970 ; 0003-0805 ; 1073-449X
    ISSN (online) 1535-4970
    ISSN 0003-0805 ; 1073-449X
    DOI 10.1164/rccm.202211-2110LE
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Uh II Zs.80: Show issues Location:
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  3. Article: Management of incidental nodules in lung cancer screening: ready for prime-time?

    Kanellakis, Nikolaos I / Lamote, Kevin

    Breathe (Sheffield, England)

    2019  Volume 15, Issue 4, Page(s) 346–349

    Abstract: Current clinical management of lung nodule patients is inefficient and therefore causes patient misclassification, which increases healthcare expenses. A precise and robust lung nodule classifier could minimise healthcare costs and discomfort for ... ...

    Abstract Current clinical management of lung nodule patients is inefficient and therefore causes patient misclassification, which increases healthcare expenses. A precise and robust lung nodule classifier could minimise healthcare costs and discomfort for patients.
    Language English
    Publishing date 2019-11-25
    Publishing country England
    Document type Journal Article
    ZDB-ID 2562899-9
    ISSN 2073-4735 ; 1810-6838
    ISSN (online) 2073-4735
    ISSN 1810-6838
    DOI 10.1183/20734735.0247-2019
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Evaluation of cardiovascular risk in a lung cancer screening cohort: what value does it bring?

    Guariglia, Andrea / Davies, Iona J / Kanellakis, Nikolaos I

    Breathe (Sheffield, England)

    2021  Volume 16, Issue 4, Page(s) 200204

    Abstract: There is a significant opportunity to improve cardiovascular disease (CVD) outcomes in lung cancer screening cohorts with a low-cost, noninvasive assessment of CVD risk, alongside existing ... ...

    Abstract There is a significant opportunity to improve cardiovascular disease (CVD) outcomes in lung cancer screening cohorts with a low-cost, noninvasive assessment of CVD risk, alongside existing assessments
    Language English
    Publishing date 2021-01-14
    Publishing country England
    Document type Journal Article
    ZDB-ID 2562899-9
    ISSN 2073-4735 ; 1810-6838
    ISSN (online) 2073-4735
    ISSN 1810-6838
    DOI 10.1183/20734735.0204-2020
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Malignant pleural effusion: Updates in diagnosis, management and current challenges.

    Addala, Dinesh Narayan / Kanellakis, Nikolaos I / Bedawi, Eihab O / Dong, Tao / Rahman, Najib M

    Frontiers in oncology

    2022  Volume 12, Page(s) 1053574

    Abstract: Malignant pleural effusion (MPE) is a common condition which often causes significant symptoms to patients and costs to healthcare systems. Over the past decade, the management of MPE has progressed enormously with large scale, randomised trials ... ...

    Abstract Malignant pleural effusion (MPE) is a common condition which often causes significant symptoms to patients and costs to healthcare systems. Over the past decade, the management of MPE has progressed enormously with large scale, randomised trials answering key questions regarding optimal diagnostic strategies and effective management strategies. Despite a number of management options, including talc pleurodesis, indwelling pleural catheters and combinations of the two, treatment for MPE remains symptom directed and centered around drainage strategy. The future goals for providing improved care for patients lies in changing the treatment paradigm from a generic pathway to personalised care, based on probability of malignancy type and survival. This article reviews the current evidence base, new discoveries and future directions in the diagnosis and management of MPE.
    Language English
    Publishing date 2022-11-17
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2649216-7
    ISSN 2234-943X
    ISSN 2234-943X
    DOI 10.3389/fonc.2022.1053574
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Clinical perspective and practices on pleural effusions in chronic systemic inflammatory diseases.

    Yao, Xuan / Abd Hamid, Megat / Sundaralingam, Anand / Evans, Alice / Karthikappallil, Roshan / Dong, Tao / Rahman, Najib M / Kanellakis, Nikolaos I

    Breathe (Sheffield, England)

    2021  Volume 16, Issue 4, Page(s) 200203

    Abstract: Systemic inflammatory diseases are a heterogeneous family of autoimmune chronic inflammatory disorders that affect multiple systems within the human body. Connective tissue disease (CTD) is a large group within this family characterised by immune- ... ...

    Abstract Systemic inflammatory diseases are a heterogeneous family of autoimmune chronic inflammatory disorders that affect multiple systems within the human body. Connective tissue disease (CTD) is a large group within this family characterised by immune-mediated inflammation of the connective tissue. This group of disorders are often associated with pleural manifestations. CTD-induced pleuritis exhibits a wide variety of symptoms and signs including exudative pleural effusions and chest pain. Accurate estimation of prevalence for CTD-related pleuritis is challenging as small effusions are asymptomatic and remain undetected. Rheumatoid arthritis and systemic lupus erythematosus are frequent CTDs and present with pleural pathology in approximately 5-20% and 17-60% of cases, respectively. By contrast, pleural involvement in systemic sclerosis, eosinophilia-myalgia syndrome, mixed connective tissue disease, ankylosing spondylitis, polymyositis and dermatomyositis syndrome is rare. Clinical management depends on the severity of symptoms; however, most effusions resolve spontaneously. In this review we discuss the pathophysiological mechanisms and the clinical considerations of CTD-induced pleuritis.
    Language English
    Publishing date 2021-01-14
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2562899-9
    ISSN 2073-4735 ; 1810-6838
    ISSN (online) 2073-4735
    ISSN 1810-6838
    DOI 10.1183/20734735.0203-2020
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Clinical identification of malignant pleural effusions.

    Jia, Jianlong / Marazioti, Antonia / Voulgaridis, Apostolos / Psallidas, Ioannis / Lamort, Anne-Sophie / Iliopoulou, Marianthi / Krontira, Anthi C / Lilis, Ioannis / Asciak, Rachelle / Kanellakis, Nikolaos I / Rahman, Najib M / Karkoulias, Kyriakos / Spiropoulos, Konstantinos / Liu, Ruonan / Kaiser, Jan-Christian / Stathopoulos, Georgios T

    Translational oncology

    2023  Volume 39, Page(s) 101800

    Abstract: Introduction: Pleural effusions frequently signal disseminated cancer. Diagnostic markers of pleural malignancy at presentation that would assess cancer risk and would streamline diagnostic decisions remain unidentified.: Methods: A consecutive ... ...

    Abstract Introduction: Pleural effusions frequently signal disseminated cancer. Diagnostic markers of pleural malignancy at presentation that would assess cancer risk and would streamline diagnostic decisions remain unidentified.
    Methods: A consecutive cohort of 323 patients with pleural effusion (PE) from different etiologies were recruited between 2013 and 2017 and was retrospectively analyzed. Data included history, chest X-ray, and blood/pleural fluid cell counts and biochemistry. Group comparison, receiver-operator characteristics, unsupervised hierarchical clustering, binary logistic regression, and random forests were used to develop the malignant pleural effusion detection (MAPED) score. MAPED was validated in an independent retrospective UK cohort (n = 238).
    Results: Five variables showed significant diagnostic power and were incorporated into the 5-point MAPED score. Age > 55 years, effusion size > 50% of the most affected lung field, pleural neutrophil count 〈 2,500/mm
    Conclusions: The MAPED score identifies malignant pleural effusions with satisfactory accuracy and can be used complementary to cytology to streamline diagnostic procedures.
    Condensed abstract: Diagnostic markers for malignant pleural effusions remain uncertain. The MAPED score identifies malignant pleural effusions and complements cytology and confers no additional risk to the patient or cost to the healthcare system.
    Language English
    Publishing date 2023-10-13
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2443840-6
    ISSN 1936-5233
    ISSN 1936-5233
    DOI 10.1016/j.tranon.2023.101800
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Targeted therapies for lung cancer: how did the game begin?

    Kanellakis, Nikolaos I / Jacinto, Tiago / Psallidas, Ioannis

    Breathe (Sheffield, England)

    2015  Volume 12, Issue 2, Page(s) 177–179

    Abstract: Landmark studies on genetic alterations underlying NSCLC have led to tailored therapies http://ow.ly/4nq0Ps. ...

    Abstract Landmark studies on genetic alterations underlying NSCLC have led to tailored therapies http://ow.ly/4nq0Ps.
    Language English
    Publishing date 2015-05-12
    Publishing country England
    Document type Journal Article
    ZDB-ID 2562899-9
    ISSN 2073-4735 ; 1810-6838
    ISSN (online) 2073-4735
    ISSN 1810-6838
    DOI 10.1183/20734735.006316
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: The Biological Role of Pleural Fluid PAI-1 and Sonographic Septations in Pleural Infection: Analysis of a Prospectively Collected Clinical Outcome Study.

    Bedawi, Eihab O / Kanellakis, Nikolaos I / Corcoran, John P / Zhao, Yu / Hassan, Maged / Asciak, Rachelle / Mercer, Rachel M / Sundaralingam, Anand / Addala, Dinesh N / Miller, Robert F / Dong, Tao / Condliffe, Alison M / Rahman, Najib M

    American journal of respiratory and critical care medicine

    2022  Volume 207, Issue 6, Page(s) 731–739

    Abstract: Rationale: ...

    Abstract Rationale:
    MeSH term(s) Humans ; Fibrinolysis ; Infections/metabolism ; Plasminogen Activator Inhibitor 1/analysis ; Plasminogen Activator Inhibitor 1/metabolism ; Pleura/diagnostic imaging ; Pleura/metabolism ; Pleural Diseases/diagnostic imaging ; Pleural Diseases/metabolism ; Pleural Effusion/genetics ; Prospective Studies ; Tissue Plasminogen Activator/analysis ; Tissue Plasminogen Activator/metabolism ; Ultrasonography
    Chemical Substances Plasminogen Activator Inhibitor 1 ; SERPINE1 protein, human ; Tissue Plasminogen Activator (EC 3.4.21.68)
    Language English
    Publishing date 2022-10-06
    Publishing country United States
    Document type Journal Article ; Observational Study ; Research Support, Non-U.S. Gov't
    ZDB-ID 1180953-x
    ISSN 1535-4970 ; 0003-0805 ; 1073-449X
    ISSN (online) 1535-4970
    ISSN 0003-0805 ; 1073-449X
    DOI 10.1164/rccm.202206-1084OC
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Uh II Zs.80: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  10. Book ; Online: PneumoLLM

    Song, Meiyue / Yu, Zhihua / Wang, Jiaxin / Wang, Jiarui / Lu, Yuting / Li, Baicun / Wang, Xiaoxu / Huang, Qinghua / Li, Zhijun / Kanellakis, Nikolaos I. / Liu, Jiangfeng / Wang, Jing / Wang, Binglu / Yang, Juntao

    Harnessing the Power of Large Language Model for Pneumoconiosis Diagnosis

    2023  

    Abstract: The conventional pretraining-and-finetuning paradigm, while effective for common diseases with ample data, faces challenges in diagnosing data-scarce occupational diseases like pneumoconiosis. Recently, large language models (LLMs) have exhibits ... ...

    Abstract The conventional pretraining-and-finetuning paradigm, while effective for common diseases with ample data, faces challenges in diagnosing data-scarce occupational diseases like pneumoconiosis. Recently, large language models (LLMs) have exhibits unprecedented ability when conducting multiple tasks in dialogue, bringing opportunities to diagnosis. A common strategy might involve using adapter layers for vision-language alignment and diagnosis in a dialogic manner. Yet, this approach often requires optimization of extensive learnable parameters in the text branch and the dialogue head, potentially diminishing the LLMs' efficacy, especially with limited training data. In our work, we innovate by eliminating the text branch and substituting the dialogue head with a classification head. This approach presents a more effective method for harnessing LLMs in diagnosis with fewer learnable parameters. Furthermore, to balance the retention of detailed image information with progression towards accurate diagnosis, we introduce the contextual multi-token engine. This engine is specialized in adaptively generating diagnostic tokens. Additionally, we propose the information emitter module, which unidirectionally emits information from image tokens to diagnosis tokens. Comprehensive experiments validate the superiority of our methods and the effectiveness of proposed modules. Our codes can be found at https://github.com/CodeMonsterPHD/PneumoLLM/tree/main.

    Comment: submitted to Medical Image Analysis
    Keywords Electrical Engineering and Systems Science - Image and Video Processing ; Computer Science - Computer Vision and Pattern Recognition
    Subject code 006
    Publishing date 2023-12-06
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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