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  1. Book: Thoracic imaging

    Ko, Jane P.

    (Radiologic clinics of North America ; 52,1)

    2014  

    Author's details ed. Jane P. Ko
    Series title Radiologic clinics of North America ; 52,1
    Collection
    Language English
    Size XIII, 225 S. : zahlr. Ill.
    Publisher Elsevier
    Publishing place Philadelphia, Pa
    Publishing country United States
    Document type Book
    HBZ-ID HT018156577
    ISBN 978-0-323-26410-5 ; 0-323-26410-7
    Database Catalogue ZB MED Medicine, Health

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  2. Article ; Online: Lung Adenocarcinomas: Can Volume Doubling Time Aid Management?

    Ko, Jane P

    Radiology

    2020  Volume 295, Issue 3, Page(s) 713–714

    MeSH term(s) Adenocarcinoma ; Adenocarcinoma of Lung ; Humans ; Lung Neoplasms ; Prognosis
    Language English
    Publishing date 2020-03-31
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 80324-8
    ISSN 1527-1315 ; 0033-8419
    ISSN (online) 1527-1315
    ISSN 0033-8419
    DOI 10.1148/radiol.2020200724
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Solitary Pulmonary Nodule Evaluation: Pearls and Pitfalls.

    Ko, Jane P / Bagga, Barun / Gozansky, Elliott / Moore, William H

    Seminars in ultrasound, CT, and MR

    2022  Volume 43, Issue 3, Page(s) 230–245

    Abstract: Lung nodules are frequently encountered while interpreting chest CTs and are challenging to detect, characterize, and manage given they can represent both benign or malignant etiologies. An understanding of features associated with malignancy and causes ... ...

    Abstract Lung nodules are frequently encountered while interpreting chest CTs and are challenging to detect, characterize, and manage given they can represent both benign or malignant etiologies. An understanding of features associated with malignancy and causes of interpretive pitfalls is helpful to avoid misdiagnoses. This review addresses pertinent topics related to the etiologies for missed lung nodules on radiography and CT. Additionally, CT imaging technical pitfalls and challenges in addition to issues in the evaluation of nodule morphology, attenuation, and size will be discussed. Nodule management guidelines will be addressed as well as recent investigations that further our understanding of lung nodules.
    MeSH term(s) Humans ; Lung Neoplasms/pathology ; Radiography ; Solitary Pulmonary Nodule/diagnostic imaging ; Tomography, X-Ray Computed
    Language English
    Publishing date 2022-02-05
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 1353113-x
    ISSN 1558-5034 ; 0887-2171
    ISSN (online) 1558-5034
    ISSN 0887-2171
    DOI 10.1053/j.sult.2022.01.006
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Letter from the guest editor: Thoracic neoplasia.

    Ko, Jane P

    Seminars in roentgenology

    2013  Volume 48, Issue 4, Page(s) 289

    MeSH term(s) Humans ; Thoracic Neoplasms/diagnosis
    Language English
    Publishing date 2013-10
    Publishing country United States
    Document type Editorial ; Introductory Journal Article
    ZDB-ID 80310-8
    ISSN 1558-4658 ; 0037-198X
    ISSN (online) 1558-4658
    ISSN 0037-198X
    DOI 10.1053/j.ro.2013.05.002
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Management of Incidental Lung Nodules.

    Ko, Jane P / Azour, Lea

    Seminars in ultrasound, CT, and MR

    2018  Volume 39, Issue 3, Page(s) 249–259

    Abstract: The incidental pulmonary nodule is commonly encountered when interpreting chest CTs. The management of pulmonary nodules requires a multidisciplinary approach entailing integration of nodule size and features, clinical risk factors, and patient ... ...

    Abstract The incidental pulmonary nodule is commonly encountered when interpreting chest CTs. The management of pulmonary nodules requires a multidisciplinary approach entailing integration of nodule size and features, clinical risk factors, and patient preference and comorbidities. Guidelines have been issued for the management of both solid and subsolid nodules, with the Fleischner Society issuing revised guidelines in 2017. This article focuses on the CT imaging characteristics and clinical behavior of pulmonary nodules, with review of the current management guidelines that reflect this knowledge.
    MeSH term(s) Humans ; Incidental Findings ; Lung/diagnostic imaging ; Lung Neoplasms/diagnostic imaging ; Practice Guidelines as Topic ; Solitary Pulmonary Nodule/diagnostic imaging ; Tomography, X-Ray Computed/methods
    Language English
    Publishing date 2018-03-26
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 1353113-x
    ISSN 1558-5034 ; 0887-2171
    ISSN (online) 1558-5034
    ISSN 0887-2171
    DOI 10.1053/j.sult.2018.02.006
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Current imaging of PE and emerging techniques: is there a role for artificial intelligence?

    Azour, Lea / Ko, Jane P / Toussie, Danielle / Gomez, Geraldine Villasana / Moore, William H

    Clinical imaging

    2022  Volume 88, Page(s) 24–32

    Abstract: Acute pulmonary embolism (PE) is a critical, potentially life-threatening finding on contrast-enhanced cross-sectional chest imaging. Timely and accurate diagnosis of thrombus acuity and extent directly influences patient management, and outcomes. ... ...

    Abstract Acute pulmonary embolism (PE) is a critical, potentially life-threatening finding on contrast-enhanced cross-sectional chest imaging. Timely and accurate diagnosis of thrombus acuity and extent directly influences patient management, and outcomes. Technical and interpretive pitfalls may present challenges to the radiologist, and by extension, pose nuance in the development and integration of artificial intelligence support tools. This review delineates imaging considerations for diagnosis of acute PE, and rationale, hurdles and applications of artificial intelligence for the PE task.
    MeSH term(s) Acute Disease ; Artificial Intelligence ; Cross-Sectional Studies ; Diagnostic Imaging ; Humans ; Pulmonary Embolism/diagnostic imaging
    Language English
    Publishing date 2022-05-10
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 1028123-x
    ISSN 1873-4499 ; 0899-7071
    ISSN (online) 1873-4499
    ISSN 0899-7071
    DOI 10.1016/j.clinimag.2022.05.003
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Photon-counting CT in Thoracic Imaging: Early Clinical Evidence and Incorporation Into Clinical Practice.

    Fletcher, Joel G / Inoue, Akitoshi / Bratt, Alex / Horst, Kelly K / Koo, Chi Wan / Rajiah, Prabhakar Shantha / Baffour, Francis I / Ko, Jane P / Remy-Jardin, Martine / McCollough, Cynthia H / Yu, Lifeng

    Radiology

    2024  Volume 310, Issue 3, Page(s) e231986

    Abstract: Photon-counting CT (PCCT) is an emerging advanced CT technology that differs from conventional CT in its ability to directly convert incident x-ray photon energies into electrical signals. The detector design also permits substantial improvements in ... ...

    Abstract Photon-counting CT (PCCT) is an emerging advanced CT technology that differs from conventional CT in its ability to directly convert incident x-ray photon energies into electrical signals. The detector design also permits substantial improvements in spatial resolution and radiation dose efficiency and allows for concurrent high-pitch and high-temporal-resolution multienergy imaging. This review summarizes
    MeSH term(s) Child ; Humans ; Tomography, X-Ray Computed ; Image Processing, Computer-Assisted ; Photons ; Radiology
    Language English
    Publishing date 2024-03-19
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 80324-8
    ISSN 1527-1315 ; 0033-8419
    ISSN (online) 1527-1315
    ISSN 0033-8419
    DOI 10.1148/radiol.231986
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Combined whole-lesion radiomic and iodine analysis for differentiation of pulmonary tumors.

    Azour, Lea / Ko, Jane P / O'Donnell, Thomas / Patel, Nihal / Bhattacharji, Priya / Moore, William H

    Scientific reports

    2022  Volume 12, Issue 1, Page(s) 11813

    Abstract: ... minimum iodine, significantly differed between primary and metastatic pulmonary tumors (FDR-adjusted p = 0 ... 015, AUC 0.69). 310 (FDR-adjusted p = 0.0008 to p = 0.0491) radiomic features differed between primary ...

    Abstract Quantitative radiomic and iodine imaging features have been explored for diagnosis and characterization of tumors. In this work, we invistigate combined whole-lesion radiomic and iodine analysis for the differentiation of pulmonary tumors on contrast-enhanced dual-energy CT (DECT) chest images. 100 biopsy-proven solid lung lesions on contrast-enhanced DECT chest exams within 3 months of histopathologic sampling were identified. Lesions were volumetrically segmented using open-source software. Lesion segmentations and iodine density volumes were loaded into a radiomics prototype for quantitative analysis. Univariate analysis was performed to determine differences in volumetric iodine concentration (mean, median, maximum, minimum, 10th percentile, 90th percentile) and first and higher order radiomic features (n = 1212) between pulmonary tumors. Analyses were performed using a 2-sample t test, and filtered for false discoveries using Benjamini-Hochberg method. 100 individuals (mean age 65 ± 13 years; 59 women) with 64 primary and 36 metastatic lung lesions were included. Only one iodine concentration parameter, absolute minimum iodine, significantly differed between primary and metastatic pulmonary tumors (FDR-adjusted p = 0.015, AUC 0.69). 310 (FDR-adjusted p = 0.0008 to p = 0.0491) radiomic features differed between primary and metastatic lung tumors. Of these, 21 features achieved AUC ≥ 0.75. In subset analyses of lesions imaged by non-CTPA protocol (n = 72), 191 features significantly differed between primary and metastatic tumors, 19 of which achieved AUC ≥ 0.75. In subset analysis of tumors without history of prior treatment (n = 59), 40 features significantly differed between primary and metastatic tumors, 11 of which achieved AUC ≥ 0.75. Volumetric radiomic analysis provides differentiating capability beyond iodine quantification. While a high number of radiomic features differentiated primary versus metastatic pulmonary tumors, fewer features demonstrated good individual discriminatory utility.
    MeSH term(s) Aged ; Biopsy ; Female ; Humans ; Iodine ; Lung/pathology ; Lung Neoplasms/pathology ; Middle Aged ; Tomography, X-Ray Computed/methods
    Chemical Substances Iodine (9679TC07X4)
    Language English
    Publishing date 2022-07-12
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-022-15351-y
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Management of Incidental Lung Nodules: Current Strategy and Rationale.

    Alpert, Jeffrey B / Ko, Jane P

    Radiologic clinics of North America

    2018  Volume 56, Issue 3, Page(s) 339–351

    Abstract: Incidentally detected lung nodules are increasingly common in routine diagnostic computed tomography (CT) imaging. Formal management recommendations for incidental nodules, such as those outlined by the Fleischner Society, must therefore reflect a ... ...

    Abstract Incidentally detected lung nodules are increasingly common in routine diagnostic computed tomography (CT) imaging. Formal management recommendations for incidental nodules, such as those outlined by the Fleischner Society, must therefore reflect a balance of malignancy risk and the clinical context in which nodules are discovered. Nodule size, attenuation, morphology, and location all influence the likelihood of malignancy and, thus, the necessity and timing of follow-up according to current Fleischner recommendations. As technological advancements in CT imaging continue, there may be greater reliance on advanced computerized analysis of lung nodule features to help determine the risk of clinically significant disease.
    MeSH term(s) Humans ; Incidental Findings ; Lung/diagnostic imaging ; Lung Neoplasms/diagnostic imaging ; Lung Neoplasms/therapy ; Solitary Pulmonary Nodule/diagnostic imaging ; Solitary Pulmonary Nodule/therapy ; Tomography, X-Ray Computed/methods
    Language English
    Publishing date 2018-05
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 215712-3
    ISSN 1557-8275 ; 0033-8389
    ISSN (online) 1557-8275
    ISSN 0033-8389
    DOI 10.1016/j.rcl.2018.01.002
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Pitfalls and Pearls of Imaging Non-traumatic Thoracic Aortic Disease.

    Shmukler, Anna / Alis, Jonathan / Patel, Smita / Latson, Larry / Ko, Jane P

    Seminars in ultrasound, CT, and MR

    2022  Volume 43, Issue 3, Page(s) 204–220

    Abstract: Imaging of the thoracic aorta is a common request in both the acute and outpatient settings, playing a crucial role in diagnosis and treatment planning of aortic disease. The findings of aortic pathology may be obvious or occult on imaging. Recognizing ... ...

    Abstract Imaging of the thoracic aorta is a common request in both the acute and outpatient settings, playing a crucial role in diagnosis and treatment planning of aortic disease. The findings of aortic pathology may be obvious or occult on imaging. Recognizing subtle changes is essential and may lead to early detection and prevention of serious morbidity and mortality. Knowledge of the anatomy and understanding the pathophysiology of aortic disease, as well as selecting the appropriate imaging modality and protocol will enable prompt diagnosis and early intervention of aortic pathology. Currently, computed tomography angiography and magnetic resonance angiography of the aorta are the most commonly used imaging modalities to evaluate the aorta. This review focuses on a spectrum of aortic pathology manifestations on computed tomography and magnetic resonance, including atherosclerosis and acute aortic syndromes, highlighting diagnostic challenges and approaches to aid in image interpretation.
    MeSH term(s) Aorta/pathology ; Aorta, Thoracic/diagnostic imaging ; Aorta, Thoracic/pathology ; Aortic Diseases/diagnostic imaging ; Aortic Diseases/pathology ; Humans ; Magnetic Resonance Angiography ; Thoracic Diseases ; Tomography, X-Ray Computed
    Language English
    Publishing date 2022-02-05
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 1353113-x
    ISSN 1558-5034 ; 0887-2171
    ISSN (online) 1558-5034
    ISSN 0887-2171
    DOI 10.1053/j.sult.2022.01.003
    Database MEDical Literature Analysis and Retrieval System OnLINE

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