نتائج البحث

Predicting pathological response to neoadjuvant or conversion chemoimmunotherapy in stage IB-III non-small cell lung cancer patients using radiomic features.

• Authors : Yang N; Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha, China.; Lung Cancer and Gastrointestinal Unit, Department of Medical Oncology, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China.

Subjects: Carcinoma, Non-Small-Cell Lung*/Carcinoma, Non-Small-Cell Lung*/Carcinoma, Non-Small-Cell Lung*/diagnostic imaging ; Carcinoma, Non-Small-Cell Lung*/Carcinoma, Non-Small-Cell Lung*/Carcinoma, Non-Small-Cell Lung*/drug therapy ; Lung Neoplasms*/Lung Neoplasms*/Lung Neoplasms*/diagnostic imaging

• Source: Thoracic cancer [Thorac Cancer] 2023 Oct; Vol. 14 (28), pp. 2869-2876. Date of Electronic Publication: 2023 Aug 19.Publisher: Wiley Publishing Asia Pty Ltd Country of Publication: Singapore NLM ID: 101531441 Publication Model: Print-Electronic Cited Medium: Internet

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Different CT slice thickness and contrast-enhancement phase in radiomics models on the differential performance of lung adenocarcinoma.

• Authors : Wang Y; Department of Radiology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, China.; Liu F

Subjects: Adenocarcinoma of Lung*/Adenocarcinoma of Lung*/Adenocarcinoma of Lung*/diagnostic imaging ; Adenocarcinoma of Lung*/Adenocarcinoma of Lung*/Adenocarcinoma of Lung*/pathology ; Lung Neoplasms*/Lung Neoplasms*/Lung Neoplasms*/diagnostic imaging

• Source: Thoracic cancer [Thorac Cancer] 2022 Jun; Vol. 13 (12), pp. 1806-1813. Date of Electronic Publication: 2022 May 11.Publisher: Wiley Publishing Asia Pty Ltd Country of Publication: Singapore NLM ID: 101531441 Publication Model: Print-Electronic Cited Medium: Internet

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lncRNAs classifier to accurately predict the recurrence of thymic epithelial tumors.

• Authors : Su Y; Department of Thoracic Surgery, Sanya Central Hospital, Sanya, China.; Chen Y

Subjects: Nomograms*; Neoplasm Recurrence, Local/Neoplasm Recurrence, Local/Neoplasm Recurrence, Local/*diagnosis ; Neoplasms, Glandular and Epithelial/Neoplasms, Glandular and Epithelial/Neoplasms, Glandular and Epithelial/*surgery Thymic epithelial tumor

• Source: Thoracic cancer [Thorac Cancer] 2020 Jul; Vol. 11 (7), pp. 1773-1783. Date of Electronic Publication: 2020 May 06.Publisher: Wiley Publishing Asia Pty Ltd Country of Publication: Singapore NLM ID: 101531441 Publication Model: Print-Electronic Cited Medium: Internet

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Application of machine learning for the differentiation of thymomas and thymic cysts using deep transfer learning: A multi‐center comparison of diagnostic performance based on different dimensional models.

• Authors : Yang, Yuhua^1,2 (AUTHOR); Cheng, Jia³ (AUTHOR); Chen, Liang⁴ (AUTHOR)

• Source: Thoracic Cancer. Nov2024, Vol. 15 Issue 31, p2235-2247. 13p.

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Different CT slice thickness and contrast‐enhancement phase in radiomics models on the differential performance of lung adenocarcinoma

• Authors : Yang Wang; Fang Liu; Yan Mo

Subjects: Pulmonary and Respiratory Medicine; Lung Neoplasms; ROC Curve

• Source: Thoracic Cancer. 13:1806-1813

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Convolution kernel and iterative reconstruction affect the diagnostic performance of radiomics and deep learning in lung adenocarcinoma pathological subtypes.

• Authors : Zhao W; Department of Radiology, Huadong Hospital Affiliated to Fudan University, Shanghai, China.; Diagnosis and Treatment Center of Small Lung Nodules of Huadong Hospital, Shanghai, China.

Subjects: Deep Learning* ; Medical Informatics Computing*; Adenocarcinoma of Lung/Adenocarcinoma of Lung/Adenocarcinoma of Lung/*diagnosis

• Source: Thoracic cancer [Thorac Cancer] 2019 Oct; Vol. 10 (10), pp. 1893-1903. Date of Electronic Publication: 2019 Aug 19.Publisher: Wiley Publishing Asia Pty Ltd Country of Publication: Singapore NLM ID: 101531441 Publication Model: Print-Electronic Cited Medium: Internet

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Systemic immune-inflammation index (SII) is useful to predict survival outcomes in patients with surgically resected non-small cell lung cancer.

• Authors : Guo W; Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.; Cai S

Subjects: Carcinoma, Non-Small-Cell Lung/Carcinoma, Non-Small-Cell Lung/Carcinoma, Non-Small-Cell Lung/*immunology ; Carcinoma, Non-Small-Cell Lung/Carcinoma, Non-Small-Cell Lung/Carcinoma, Non-Small-Cell Lung/*surgery ; Lung Neoplasms/Lung Neoplasms/Lung Neoplasms/*immunology

• Source: Thoracic cancer [Thorac Cancer] 2019 Apr; Vol. 10 (4), pp. 761-768. Date of Electronic Publication: 2019 Feb 07.Publisher: Wiley Publishing Asia Pty Ltd Country of Publication: Singapore NLM ID: 101531441 Publication Model: Print-Electronic Cited Medium: Internet

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lncRNAs classifier to accurately predict the recurrence of thymic epithelial tumors

• Authors : Zuochun Tian; Yongchao Su; Chuangang Lu

Subjects: 0301 basic medicine; Pulmonary and Respiratory Medicine; Oncology

• Source: Thoracic CancerThoracic Cancer, Vol 11, Iss 7, Pp 1773-1783 (2020)

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A phase II study of weekly carboplatin and concurrent radiotherapy in older adults with locally advanced non‐small cell lung cancer (LOGIK1902).

• Authors : Harada, Taishi¹ (AUTHOR) ; Sasaki, Tomonari² (AUTHOR); Ishii, Hidenobu³ (AUTHOR)

• Source: Thoracic Cancer. Oct2024, Vol. 15 Issue 29, p2128-2135. 8p.

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hsa_circ_0000729, a potential prognostic biomarker in lung adenocarcinoma.

• Authors : Li S; Department of Thoracic Surgery, Affiliated Hospital of Qingdao University, Qingdao, China.; Sun X

Subjects: Up-Regulation*; Adenocarcinoma of Lung/Adenocarcinoma of Lung/Adenocarcinoma of Lung/*genetics ; Adenocarcinoma of Lung/Adenocarcinoma of Lung/Adenocarcinoma of Lung/*pathology

• Source: Thoracic cancer [Thorac Cancer] 2018 Aug; Vol. 9 (8), pp. 924-930. Date of Electronic Publication: 2018 Jun 22.Publisher: Wiley Publishing Asia Pty Ltd Country of Publication: Singapore NLM ID: 101531441 Publication Model: Print-Electronic Cited Medium: Internet

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