Autor: "Lanuti M" - OpacWWW

Skocz do pozycji: 1.

Tytuł:: Spirometry at diagnosis and overall survival in non-small cell lung cancer patients.
Autorzy:: Zhai T; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Li Y; Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.
Brown R; Pulmonary and Critical Care Division, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA.
Lanuti M; Division of Thoracic Surgery, Department of Surgery, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA.
Gainor JF; Massachusetts General Hospital Cancer Center and Department of Hematology & Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA.
Christiani DC; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.; Pulmonary and Critical Care Division, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA.; Pokaż więcej
Źródło:: Cancer medicine [Cancer Med] 2022 Dec; Vol. 11 (24), pp. 4796-4805. Date of Electronic Publication: 2022 May 12.
Typ publikacji:: Journal Article; Research Support, N.I.H., Extramural
MeSH Terms:: Carcinoma, Non-Small-Cell Lung*
Lung Neoplasms*
Pulmonary Disease, Chronic Obstructive*/diagnosis
Pulmonary Disease, Chronic Obstructive*/complications
Humans ; Retrospective Studies ; Spirometry ; Lung

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Tytuł:: Deep learning classification of lung cancer histology using CT images.
Autorzy:: Chaunzwa TL; Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA. tafadzwa_.; Department of Radiation Oncology, Dana Farber Cancer Institute and Brigham and Women's Hospital, Boston, MA, USA. tafadzwa_.; Howard Hughes Medical Institute, Chevy Chase, MD, USA. tafadzwa_.
Hosny A; Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA.; Department of Radiation Oncology, Dana Farber Cancer Institute and Brigham and Women's Hospital, Boston, MA, USA.
Xu Y; Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA.; Department of Radiation Oncology, Dana Farber Cancer Institute and Brigham and Women's Hospital, Boston, MA, USA.
Shafer A; Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Diao N; Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Lanuti M; Division of Thoracic Surgery, Massachusetts General Hospital, Boston, MA, USA.
Christiani DC; Harvard T.H. Chan School of Public Health, Boston, MA, USA.; Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.
Mak RH; Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA.; Department of Radiation Oncology, Dana Farber Cancer Institute and Brigham and Women's Hospital, Boston, MA, USA.
Aerts HJWL; Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA. hugo_.; Department of Radiation Oncology, Dana Farber Cancer Institute and Brigham and Women's Hospital, Boston, MA, USA. hugo_.; Department of Radiology, Dana Farber Cancer Institute and Brigham and Women's Hospital, Boston, MA, USA. hugo_.; Radiology and Nuclear Medicine, CARIM & GROW, Maastricht University, Maastricht, The Netherlands. hugo_.; Pokaż więcej
Źródło:: Scientific reports [Sci Rep] 2021 Mar 09; Vol. 11 (1), pp. 5471. Date of Electronic Publication: 2021 Mar 09.
Typ publikacji:: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
MeSH Terms:: Deep Learning*
Tomography, X-Ray Computed*/methods
Carcinoma, Non-Small-Cell Lung/*diagnostic imaging
Lung/*diagnostic imaging
Lung Neoplasms/*diagnostic imaging
Humans ; Neural Networks, Computer

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Tytuł:: Fluorodeoxyglucose positron emission tomography for detection of tumor recurrence following radiofrequency ablation in retrospective cohort of stage I lung cancer.
Autorzy:: Wang Y; a Department of Radiology , Massachusetts General Hospital , Boston , MA , USA.
Lanuti M; b Department of Surgery, Division of Thoracic Surgery , Massachusetts General Hospital , Boston , MA , USA.
Bernheim A; c Department of Radiology , Emory University School of Medicine , Atlanta , GA , USA.
Shepard JO; a Department of Radiology , Massachusetts General Hospital , Boston , MA , USA.
Sharma A; a Department of Radiology , Massachusetts General Hospital , Boston , MA , USA.; Pokaż więcej
Źródło:: International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group [Int J Hyperthermia] 2018; Vol. 35 (1), pp. 1-8. Date of Electronic Publication: 2018 May 03.
Typ publikacji:: Journal Article
MeSH Terms:: Carcinoma, Non-Small-Cell Lung/*diagnostic imaging
Lung Neoplasms/*diagnostic imaging
Positron-Emission Tomography/*methods
Radiofrequency Ablation/*methods
Aged ; Aged, 80 and over ; Carcinoma, Non-Small-Cell Lung/pathology ; Cohort Studies ; Female ; Humans ; Lung Neoplasms/pathology ; Male ; Middle Aged ; Neoplasm Recurrence, Local ; Neoplasm Staging ; Retrospective Studies

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