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  1. Article ; Online: The emergence of PET/CT: Engineering, innovation, and usage.

    Kinahan, Paul E

    Medical physics

    2022  Volume 50 Suppl 1, Page(s) 62–65

    MeSH term(s) Positron Emission Tomography Computed Tomography
    Language English
    Publishing date 2022-12-31
    Publishing country United States
    Document type Journal Article ; Review ; Research Support, N.I.H., Extramural
    ZDB-ID 188780-4
    ISSN 2473-4209 ; 0094-2405
    ISSN (online) 2473-4209
    ISSN 0094-2405
    DOI 10.1002/mp.16099
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    Jg. 1995 - 2021: Lesesall (1.OG)
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  2. Article ; Online: Phantom and methodology for comparison of small lesion detectability in PET.

    Wollenweber, Scott D / Alessio, Adam M / Kinahan, Paul E

    Medical physics

    2023  Volume 50, Issue 5, Page(s) 2998–3007

    Abstract: Purpose: The main goal of this work is to describe a phantom design, data acquisition and data analysis methodology enabling comparison of small lesion detectability between PET imaging systems and reconstruction algorithms. Several methods are ... ...

    Abstract Purpose: The main goal of this work is to describe a phantom design, data acquisition and data analysis methodology enabling comparison of small lesion detectability between PET imaging systems and reconstruction algorithms. Several methods are currently available to characterize intrinsic and image quality performance, but none focus exclusively on small lesion detectability.
    Methods: We previously developed a small-lesion detection phantom and described initial results using a head-size phantom. Unlike most fillable nuclear medicine phantoms, this phantom offers a semi-realistic heterogenous background and wall-less contrast features. In this work, the methodology is extended to include (a) the use of both head- and body-sized phantoms and (b) a multi-scan data collection and analysis method. We present an example use case of the phantom and detection estimation methodology, comparing the small-lesion detection performance across four commercial PET/CT systems.
    Results: Repeat acquisitions of the phantom enabled estimation of model observer performance and surrogates of detectability. As anticipated, estimated detectability increased with the square root of system sensitivity and TOF offered marked improvement in detectability, especially for the body sized object. The proposed approach characterizing detectability at different times during the decay of the phantom enabled comparison of small lesion detectability at matched activity concentrations (and scan durations) across different scanners.
    Conclusion: The proposed approach offers a reproducible tool for evaluating relative tradeoffs of system performance on small lesion detectability.
    MeSH term(s) Positron Emission Tomography Computed Tomography ; Tomography, X-Ray Computed ; Algorithms ; Phantoms, Imaging ; Positron-Emission Tomography/methods ; Image Processing, Computer-Assisted/methods
    Language English
    Publishing date 2023-01-11
    Publishing country United States
    Document type Journal Article
    ZDB-ID 188780-4
    ISSN 2473-4209 ; 0094-2405
    ISSN (online) 2473-4209
    ISSN 0094-2405
    DOI 10.1002/mp.16187
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  3. Article ; Online: Bone and Soft Tissue Tumors: Horizons in Radiomics and Artificial Intelligence.

    Richardson, Michael L / Amini, Behrang / Kinahan, Paul E

    Radiologic clinics of North America

    2022  Volume 60, Issue 2, Page(s) 339–358

    Abstract: AI can improve the quality of CT, MR and PET/CT images, while simultaneously reducing imaging time, and doses of radiation and contrast. AI can improve radiologist workflow and decrease interpretation times. AI may someday be capable of accurately ... ...

    Abstract AI can improve the quality of CT, MR and PET/CT images, while simultaneously reducing imaging time, and doses of radiation and contrast. AI can improve radiologist workflow and decrease interpretation times. AI may someday be capable of accurately locating, classifying and segmenting bone and soft tissue tumors. The goal of radiomics is to use radiomic and other biomarkers to achieve "precision medicine", ie, to predict the right diagnosis and the right treatment of the right patient at the right time. Radiomic information may be helpful in guiding biopsies, classifying and grading tumors and predicting prognosis and treatment response.
    MeSH term(s) Artificial Intelligence ; Humans ; Positron Emission Tomography Computed Tomography ; Precision Medicine ; Prognosis ; Soft Tissue Neoplasms/diagnostic imaging
    Language English
    Publishing date 2022-01-31
    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.2021.11.011
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  4. Article: Repeatability of 18F-FDG uptake in metastatic bone lesions of breast cancer patients and implications for accrual to clinical trials.

    Muzi, Mark / Peterson, Lanell M / Specht, Jennifer M / Hippe, Daniel S / Novakova-Jiresova, Alena / Lee, Jean H / Kurland, Brenda F / Mankoff, David A / Obuchowski, Nancy / Linden, Hannah M / Kinahan, Paul E

    Research square

    2024  

    Abstract: Background: Standard measures of response such as Response Evaluation Criteria in Solid Tumors are ineffective for bone lesions, often making breast cancer patients with bone-dominant metastases ineligible for clinical trials with potentially helpful ... ...

    Abstract Background: Standard measures of response such as Response Evaluation Criteria in Solid Tumors are ineffective for bone lesions, often making breast cancer patients with bone-dominant metastases ineligible for clinical trials with potentially helpful therapies. In this study we prospectively evaluated the test-retest uptake variability of 2-deoxy-2-[
    Results: The mean relative difference of SUVmax in 38 bone tumors of the first cohort was 4.3%. The upper and lower asymmetric limits of the repeatability coefficient were 19.4% and -16.3%, respectively. The
    Conclusions: In evaluating bone tumor response for breast cancer patients with bone-dominant metastases using
    Language English
    Publishing date 2024-01-16
    Publishing country United States
    Document type Preprint
    DOI 10.21203/rs.3.rs-3818932/v1
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  5. Article: Repeatability of

    Muzi, Mark / Peterson, Lanell M / Specht, Jennifer M / Hippe, Daniel S / Novakova-Jiresova, Alena / Lee, Jean H / Kurland, Brenda F / Mankoff, David A / Obuchowski, Nancy / Linden, Hannah M / Kinahan, Paul E

    EJNMMI research

    2024  Volume 14, Issue 1, Page(s) 32

    Abstract: Background: Standard measures of response such as Response Evaluation Criteria in Solid Tumors are ineffective for bone lesions, often making breast cancer patients that have bone-dominant metastases ineligible for clinical trials with potentially ... ...

    Abstract Background: Standard measures of response such as Response Evaluation Criteria in Solid Tumors are ineffective for bone lesions, often making breast cancer patients that have bone-dominant metastases ineligible for clinical trials with potentially helpful therapies. In this study we prospectively evaluated the test-retest uptake variability of 2-deoxy-2-[18F]fluoro-D-glucose (
    Methods: For this study, nine patients with 38 bone lesions were imaged with
    Results: The mean relative difference of SUVmax and SULpeak in 38 bone tumors of the first cohort were 4.3% and 6.7%. The upper and lower asymmetric limits of the repeatability coefficient were 19.4% and - 16.3% for SUVmax, and 21.2% and - 17.5% for SULpeak.
    Conclusion: In evaluating bone tumor response for breast cancer patients with bone-dominant metastases using
    Language English
    Publishing date 2024-03-27
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2619892-7
    ISSN 2191-219X
    ISSN 2191-219X
    DOI 10.1186/s13550-024-01093-7
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  6. Article: Timing, Energy, and 3-D Spatial Resolution of the BING PET Detector Module.

    Hunter, William / Dolinsky, Sergei / Kinahan, Paul / Miyaoka, Robert

    IEEE transactions on radiation and plasma medical sciences

    2022  Volume 7, Issue 1, Page(s) 1–10

    Abstract: ... detector can be effective in a small field-of view (e.g., brain or breast) PET system. ...

    Abstract We evaluated the 3D spatial, energy, and timing resolution of the Brain (or Breast)-Initiative Next-Generation (BING) PET detector. The BING detector is an array of 1-mm-thick slats of LYSO scintillator with lapped specular-reflective faces (15-mm by 52-mm) that are stacked together and oriented with their long-narrow edges normal to the imaging field of view. Interaction positions are determined from the signals of silicon-photomultiplier (SiPM) arrays placed on the entrance (top) and exit (bottom) faces. The SiPM arrays are offset to determine the slat of interaction (SOI) without requiring any optical light sharing between slats. Maximum likelihood 2D location within the SOI is determined using the sensor signals. Interaction time is determined with a modified first-optical-photon pickoff method. Performance of the BING detector was measured as a function of position using a sideways coincidence-collimated beam. Slats were accurately identified, with an effective tangential detector resolution of 1 mm. Average resolutions (and ranges) are: 0.96 mm (0.85 mm to 1.11 mm) for lateral (axial) detector resolution, 1.6 mm (1.0 mm to 2.1 mm) for depth resolution, 13.6% (12.7% to 16.0%) for energy resolution, and 317 ps (241 ps to 404 ps) for coincidence timing resolution. Initial spatial and timing resolution results demonstrated that the BING detector can be effective in a small field-of view (e.g., brain or breast) PET system.
    Language English
    Publishing date 2022-07-04
    Publishing country United States
    Document type Journal Article
    ISSN 2469-7311
    ISSN 2469-7311
    DOI 10.1109/TRPMS.2022.3187955
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  7. Article: Multi-Omic Biomarkers Improve Indeterminate Pulmonary Nodule Malignancy Risk Assessment.

    Lastwika, Kristin J / Wu, Wei / Zhang, Yuzheng / Ma, Ningxin / Zečević, Mladen / Pipavath, Sudhakar N J / Randolph, Timothy W / Houghton, A McGarry / Nair, Viswam S / Lampe, Paul D / Kinahan, Paul E

    Cancers

    2023  Volume 15, Issue 13

    Abstract: The clinical management of patients with indeterminate pulmonary nodules is associated with unintended harm to patients and better methods are required to more precisely quantify lung cancer risk in this group. Here, we combine multiple noninvasive ... ...

    Abstract The clinical management of patients with indeterminate pulmonary nodules is associated with unintended harm to patients and better methods are required to more precisely quantify lung cancer risk in this group. Here, we combine multiple noninvasive approaches to more accurately identify lung cancer in indeterminate pulmonary nodules. We analyzed 94 quantitative radiomic imaging features and 41 qualitative semantic imaging variables with molecular biomarkers from blood derived from an antibody-based microarray platform that determines protein, cancer-specific glycan, and autoantibody-antigen complex content with high sensitivity. From these datasets, we created a PSR (plasma, semantic, radiomic) risk prediction model comprising nine blood-based and imaging biomarkers with an area under the receiver operating curve (AUROC) of 0.964 that when tested in a second, independent cohort yielded an AUROC of 0.846. Incorporating known clinical risk factors (age, gender, and smoking pack years) for lung cancer into the PSR model improved the AUROC to 0.897 in the second cohort and was more accurate than a well-characterized clinical risk prediction model (AUROC = 0.802). Our findings support the use of a multi-omics approach to guide the clinical management of indeterminate pulmonary nodules.
    Language English
    Publishing date 2023-06-29
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2527080-1
    ISSN 2072-6694
    ISSN 2072-6694
    DOI 10.3390/cancers15133418
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  8. Article ; Online: Bias in PET Images of Solid Phantoms Due to CT-Based Attenuation Correction.

    Byrd, Darrin W / Sunderland, John J / Lee, Tzu-Cheng / Kinahan, Paul E

    Tomography (Ann Arbor, Mich.)

    2019  Volume 5, Issue 1, Page(s) 154–160

    Abstract: The use of computed tomography (CT) images to correct for photon attenuation in positron emission tomography (PET) produces unbiased patient images, but it is not optimal for synthetic materials. For test objects made from epoxy, image bias and artifacts ...

    Abstract The use of computed tomography (CT) images to correct for photon attenuation in positron emission tomography (PET) produces unbiased patient images, but it is not optimal for synthetic materials. For test objects made from epoxy, image bias and artifacts have been observed in well-calibrated PET/CT scanners. An epoxy used in commercially available sources was infused with long-lived
    MeSH term(s) Algorithms ; Artifacts ; Bias ; Epoxy Resins ; Equipment Design ; Humans ; Image Interpretation, Computer-Assisted/methods ; Phantoms, Imaging ; Positron Emission Tomography Computed Tomography/methods ; Positron Emission Tomography Computed Tomography/standards ; Tomography, X-Ray Computed
    Chemical Substances Epoxy Resins
    Language English
    Publishing date 2019-03-06
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ISSN 2379-139X
    ISSN (online) 2379-139X
    DOI 10.18383/j.tom.2018.00043
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  9. Article: Special Section Guest Editorial: Positron Emission Tomography: History, Current Status, and Future Prospects.

    Pelc, Norbert J / Kinahan, Paul E / Pettigrew, Roderic I

    Journal of medical imaging (Bellingham, Wash.)

    2017  Volume 4, Issue 1, Page(s) 11001

    Language English
    Publishing date 2017-03-31
    Publishing country United States
    Document type Journal Article
    ISSN 2329-4302
    ISSN 2329-4302
    DOI 10.1117/1.JMI.4.1.011001
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  10. Article ; Online: Tumor Size Is Not Everything: Advancing Radiomics as a Precision Medicine Biomarker in Oncology Drug Development and Clinical Care. A Report of a Multidisciplinary Workshop Coordinated by the RECIST Working Group.

    Nakajima, Erica C / Simpson, Amber / Bogaerts, Jan / de Vries, Elisabeth G E / Do, Richard / Garalda, Elena / Goldmacher, Greg / Kinahan, Paul E / Lambin, Philippe / LeStage, Barbara / Li, Qin / Lin, Frank / Litière, Saskia / Perez-Lopez, Raquel / Petrick, Nicholas / Schwartz, Lawrence / Seymour, Lesley / Shankar, Lalitha / Laurie, Scott A

    JCO precision oncology

    2024  Volume 8, Page(s) e2300687

    Abstract: Radiomics, the science of extracting quantifiable data from routine medical images, is a powerful tool that has many potential applications in oncology. The Response Evaluation Criteria in Solid Tumors Working Group (RWG) held a workshop in May 2022, ... ...

    Abstract Radiomics, the science of extracting quantifiable data from routine medical images, is a powerful tool that has many potential applications in oncology. The Response Evaluation Criteria in Solid Tumors Working Group (RWG) held a workshop in May 2022, which brought together various stakeholders to discuss the potential role of radiomics in oncology drug development and clinical trials, particularly with respect to response assessment. This article summarizes the results of that workshop, reviewing radiomics for the practicing oncologist and highlighting the work that needs to be done to move forward the incorporation of radiomics into clinical trials.
    MeSH term(s) Humans ; Precision Medicine/methods ; Response Evaluation Criteria in Solid Tumors ; Radiomics ; Medical Oncology ; Neoplasms/diagnostic imaging ; Neoplasms/drug therapy
    Language English
    Publishing date 2024-02-06
    Publishing country United States
    Document type Journal Article
    ISSN 2473-4284
    ISSN (online) 2473-4284
    DOI 10.1200/PO.23.00687
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