Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Krittachat Butnian"'
Autor:
Rathachai Kaewlai, Jitti Chatpuwaphat, Krittachat Butnian, Kittipott Thusneyapan, Nutthanun Panrong, Wanicha Lertpipopmetha, Thongsak Wongpongsalee
Publikováno v:
Tomography, Vol 8, Iss 6, Pp 2772-2783 (2022)
Background: The thoracic inlet of blunt trauma patients may have pathologies that can be diagnosed on cervical spine computed tomography (CT) but that are not evident on concurrent portable chest radiography (pCXR). This retrospective investigation a
Externí odkaz:
https://doaj.org/article/0c51ab1ad7104cdda5bf9dcc4d181d0c
Autor:
Pairash Saiviroonporn, Suwimon Wonglaksanapimon, Warasinee Chaisangmongkon, Isarun Chamveha, Pakorn Yodprom, Krittachat Butnian, Thanogchai Siriapisith, Trongtum Tongdee
Publikováno v:
BMC Medical Imaging, Vol 22, Iss 1, Pp 1-10 (2022)
Abstract Background Artificial intelligence, particularly the deep learning (DL) model, can provide reliable results for automated cardiothoracic ratio (CTR) measurement on chest X-ray (CXR) images. In everyday clinical use, however, this technology
Externí odkaz:
https://doaj.org/article/a6a92c269dce456986863ae07fed0864
Publikováno v:
Siriraj Medical Journal, Vol 73, Iss 9, Pp 594-602 (2021)
Objective: To compare CT findings between malignant pleural mesothelioma (MPM) and metastatic pleural disease (MPD). Materials and Methods: CT chest images of 157 cases of pathologically-proven malignant pleural disease (21 MPM, 136 MPD) were retrosp
Externí odkaz:
https://doaj.org/article/74fbdd5780f542c59dc84650cd6ca5d0
Publikováno v:
Siriraj Medical Journal, Vol 73, Iss 9 (2021)
Siriraj Medical Journal, Vol 73, Iss 9, Pp 594-602 (2021)
Siriraj Medical Journal, Vol 73, Iss 9, Pp 594-602 (2021)
Objective: To compare CT findings between malignant pleural mesothelioma (MPM) and metastatic pleuraldisease (MPD).Materials and Methods: CT chest images of 157 cases of pathologically-proven malignant pleural disease(21 MPM, 136 MPD) were retrospect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae1453ec6c8ef1f0087ccdc4881a0eb2
https://doi.org/10.33192/smj.2021.77
https://doi.org/10.33192/smj.2021.77
Autor:
Pairash Saiviroonporn, Suwimon Wonglaksanapimon, Warasinee Chaisangmongkon, Isarun Chamveha, Pakorn Yodprom, Krittachat Butnian, Thanogchai Siriapisith, Trongtum Tongdee
Publikováno v:
BMC medical imaging. 22(1)
Background Artificial intelligence, particularly the deep learning (DL) model, can provide reliable results for automated cardiothoracic ratio (CTR) measurement on chest X-ray (CXR) images. In everyday clinical use, however, this technology is usuall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::233603a75d3e9ac209047c58f809bac0
https://pubmed.ncbi.nlm.nih.gov/35296262
https://pubmed.ncbi.nlm.nih.gov/35296262
Autor:
Anek Suwanbundit, Janjira Petsuksiri, Pittaya Dankulchai, Dittapong Songsaeng, Krittachat Butnian, Kullathorn Thepmonkol, Chualuck Boonma, Sureerat Janpanich
Publikováno v:
The Bangkok Medical Journal. 15:19-27
OBJECTIVES: To demonstrate the usefulness of perfusion computed tomography (PCT) in the detection of local recurrent/residual (LR) tumor in patients with nasopharyngeal carcinoma (NPC) after radiotherapy. MATERIALS AND METHOD: Over three years (from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8b9d3f465800030c071303412b52e48
https://doi.org/10.31524/bkkmedj.2019.02.004
https://doi.org/10.31524/bkkmedj.2019.02.004