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  1. Book ; Online ; E-Book: Sarcomas

    Trent, Jonathan C. / Rosenberg, Andrew E. / Pollock, Raphael E. / DeLaney, Thomas F.

    Evidence-based diagnosis and management

    2021  

    Author's details edited by Jonathan C. Trent, Andrew E. Rosenberg, Raphael E. Pollock, Thomas F. DeLaney
    Keywords Electronic books ; Sarcoma / diagnosis ; Sarcoma / therapy
    Language English
    Size 1 Online-Ressource (xxii, 421 Seiten), Illustrationen
    Publisher Springer ; Demos Medical
    Publishing place New York
    Publishing country United States
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    HBZ-ID HT020603399
    ISBN 978-0-8261-4853-7 ; 9780826148520 ; 0-8261-4853-0 ; 0826148522
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article ; Online: Careful with the Cauda.

    DeLaney, Thomas F

    International journal of radiation oncology, biology, physics

    2021  Volume 110, Issue 5, Page(s) 1265

    MeSH term(s) Cauda Equina ; Humans ; Lumbar Vertebrae
    Language English
    Publishing date 2021-07-16
    Publishing country United States
    Document type Letter ; Comment
    ZDB-ID 197614-x
    ISSN 1879-355X ; 0360-3016
    ISSN (online) 1879-355X
    ISSN 0360-3016
    DOI 10.1016/j.ijrobp.2018.12.033
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 1218: Show issues Location:
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  3. Article ; Online: The Significance of a Pathologic Complete Response in Patients With Soft Tissue Sarcoma.

    Spina, Catherine S / DeLaney, Thomas F

    JAMA oncology

    2023  Volume 9, Issue 5, Page(s) 619–621

    MeSH term(s) Humans ; Sarcoma/drug therapy ; Sarcoma/pathology ; Soft Tissue Neoplasms/pathology
    Language English
    Publishing date 2023-04-19
    Publishing country United States
    Document type Editorial ; Comment
    ISSN 2374-2445
    ISSN (online) 2374-2445
    DOI 10.1001/jamaoncol.2022.7940
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Book: Proton and charged particle radiotherapy

    DeLaney, Thomas F.

    2008  

    Author's details ed. Thomas F. DeLaney
    Keywords Padiotherapy, High-Energy ; Protons / therapeutic use ; Radiotherapy, High energy ; Proton beams/Therapeutic use
    Subject code 615.842
    Language English
    Size X, 274 S. : Ill., graph. Darst.
    Publisher Wolters Kluwer u.a.
    Publishing place Philadelphia u.a.
    Publishing country United States
    Document type Book
    HBZ-ID HT015558691
    ISBN 0-7817-6552-8 ; 978-0-7817-6552-7
    Database Catalogue ZB MED Medicine, Health

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    Shelf markLoan statusLocation
    2008 A 6300 order for loan Magazin

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  5. Article ; Online: Fine Tuning the Radiation Treatment for Extremity Soft Tissue Sarcomas.

    DeLaney, Thomas F

    Annals of surgical oncology

    2018  Volume 25, Issue 13, Page(s) 3785–3786

    MeSH term(s) Extremities ; Humans ; Sarcoma ; Soft Tissue Neoplasms
    Language English
    Publishing date 2018-09-27
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 1200469-8
    ISSN 1534-4681 ; 1068-9265
    ISSN (online) 1534-4681
    ISSN 1068-9265
    DOI 10.1245/s10434-018-6789-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Charged Issues: Particle Radiation Therapy.

    DeLaney, Thomas F

    Seminars in radiation oncology

    2018  Volume 28, Issue 2, Page(s) 75–78

    MeSH term(s) Animals ; Dose-Response Relationship, Radiation ; Humans ; Neoplasms/radiotherapy ; Particle Accelerators ; Proton Therapy/methods ; Radiation Oncology/methods ; Radiotherapy, High-Energy/methods
    Language English
    Publishing date 2018-05-06
    Publishing country United States
    Document type Editorial ; Introductory Journal Article
    ZDB-ID 1146999-7
    ISSN 1532-9461 ; 1053-4296
    ISSN (online) 1532-9461
    ISSN 1053-4296
    DOI 10.1016/j.semradonc.2017.12.001
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    Zs.A 3654: Show issues Location:
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  7. Article ; Online: Assessing second cancer risk after primary cancer treatment with photon or proton radiotherapy.

    DeLaney, Thomas F / Yock, Torunn I / Paganetti, Harald

    Cancer

    2020  Volume 126, Issue 15, Page(s) 3397–3399

    MeSH term(s) Humans ; Neoplasms/complications ; Neoplasms/epidemiology ; Neoplasms/radiotherapy ; Neoplasms, Second Primary/epidemiology ; Neoplasms, Second Primary/etiology ; Neoplasms, Second Primary/pathology ; Organs at Risk ; Protons/adverse effects ; Radiotherapy Dosage ; Radiotherapy Planning, Computer-Assisted ; Radiotherapy, Conformal/adverse effects ; Radiotherapy, Intensity-Modulated/adverse effects ; Risk Factors
    Chemical Substances Protons
    Language English
    Publishing date 2020-05-19
    Publishing country United States
    Document type Editorial
    ZDB-ID 1429-1
    ISSN 1097-0142 ; 0008-543X ; 1934-662X
    ISSN (online) 1097-0142
    ISSN 0008-543X ; 1934-662X
    DOI 10.1002/cncr.32936
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  8. Article ; Online: Automated Segmentation of Sacral Chordoma and Surrounding Muscles Using Deep Learning Ensemble.

    Boussioux, Leonard / Ma, Yu / Thomas, Nancy Knight / Bertsimas, Dimitris / Shusharina, Nadya / Pursley, Jennifer / Chen, Yen-Lin / DeLaney, Thomas F / Qian, Jack / Bortfeld, Thomas

    International journal of radiation oncology, biology, physics

    2023  Volume 117, Issue 3, Page(s) 738–749

    Abstract: Purpose: The manual segmentation of organ structures in radiation oncology treatment planning is a time-consuming and highly skilled task, particularly when treating rare tumors like sacral chordomas. This study evaluates the performance of automated ... ...

    Abstract Purpose: The manual segmentation of organ structures in radiation oncology treatment planning is a time-consuming and highly skilled task, particularly when treating rare tumors like sacral chordomas. This study evaluates the performance of automated deep learning (DL) models in accurately segmenting the gross tumor volume (GTV) and surrounding muscle structures of sacral chordomas.
    Methods and materials: An expert radiation oncologist contoured 5 muscle structures (gluteus maximus, gluteus medius, gluteus minimus, paraspinal, piriformis) and sacral chordoma GTV on computed tomography images from 48 patients. We trained 6 DL auto-segmentation models based on 3-dimensional U-Net and residual 3-dimensional U-Net architectures. We then implemented an average and an optimally weighted average ensemble to improve prediction performance. We evaluated algorithms with the average and standard deviation of the volumetric Dice similarity coefficient, surface Dice similarity coefficient with 2- and 3-mm thresholds, and average symmetric surface distance. One independent expert radiation oncologist assessed the clinical viability of the DL contours and determined the necessary amount of editing before they could be used in clinical practice.
    Results: Quantitatively, the ensembles performed the best across all structures. The optimal ensemble (volumetric Dice similarity coefficient, average symmetric surface distance) was (85.5 ± 6.4, 2.6 ± 0.8; GTV), (94.4 ± 1.5, 1.0 ± 0.4; gluteus maximus), (92.6 ± 0.9, 0.9 ± 0.1; gluteus medius), (85.0 ± 2.7, 1.1 ± 0.3; gluteus minimus), (92.1 ± 1.5, 0.8 ± 0.2; paraspinal), and (78.3 ± 5.7, 1.5 ± 0.6; piriformis). The qualitative evaluation suggested that the best model could reduce the total muscle and tumor delineation time to a 19-minute average.
    Conclusions: Our methodology produces expert-level muscle and sacral chordoma tumor segmentation using DL and ensemble modeling. It can substantially augment the streamlining and accuracy of treatment planning and represents a critical step toward automated delineation of the clinical target volume in sarcoma and other disease sites.
    MeSH term(s) Humans ; Deep Learning ; Chordoma/diagnostic imaging ; Chordoma/radiotherapy ; Tomography, X-Ray Computed/methods ; Algorithms ; Muscles ; Image Processing, Computer-Assisted/methods
    Language English
    Publishing date 2023-07-13
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 197614-x
    ISSN 1879-355X ; 0360-3016
    ISSN (online) 1879-355X
    ISSN 0360-3016
    DOI 10.1016/j.ijrobp.2023.03.078
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    Zs.A 1218: Show issues Location:
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  9. Article ; Online: What Is the Role of Neoadjuvant Radiation Therapy for Retroperitoneal Sarcoma?

    McKinley, Sophia K / DeLaney, Thomas F / Mullen, John T

    Advances in surgery

    2020  Volume 54, Page(s) 273–284

    MeSH term(s) Humans ; Neoadjuvant Therapy/adverse effects ; Retroperitoneal Neoplasms/surgery ; Retroperitoneal Neoplasms/therapy ; Sarcoma/surgery ; Sarcoma/therapy
    Language English
    Publishing date 2020-06-20
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 411889-3
    ISSN 1878-0555 ; 0065-3411
    ISSN (online) 1878-0555
    ISSN 0065-3411
    DOI 10.1016/j.yasu.2020.05.003
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    Zs.A 92: Show issues Location:
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  10. Article ; Online: Bone Sarcomas and Desmoids.

    Brownstein, Jeremy M / DeLaney, Thomas F

    Hematology/oncology clinics of North America

    2019  Volume 34, Issue 1, Page(s) 177–188

    Abstract: Bone sarcomas are rare tumors arising in bone, representing only a small fraction of solid malignant tumors. Desmoids are benign, infiltrative soft tissue neoplasms. Because of their scarcity and a paucity of data, the management of these tumors can be ... ...

    Abstract Bone sarcomas are rare tumors arising in bone, representing only a small fraction of solid malignant tumors. Desmoids are benign, infiltrative soft tissue neoplasms. Because of their scarcity and a paucity of data, the management of these tumors can be challenging, especially for clinicians who infrequently encounter these tumors. This article reviews the current literature regarding the diagnosis, work-up, and treatment of these uncommon mesenchymal tumors.
    MeSH term(s) Bone Neoplasms/diagnosis ; Bone Neoplasms/therapy ; Fibromatosis, Aggressive/diagnosis ; Fibromatosis, Aggressive/therapy ; Humans ; Osteosarcoma/diagnosis ; Osteosarcoma/therapy
    Language English
    Publishing date 2019-10-28
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 93115-9
    ISSN 1558-1977 ; 0889-8588
    ISSN (online) 1558-1977
    ISSN 0889-8588
    DOI 10.1016/j.hoc.2019.09.002
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