BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

993 related articles for article (PubMed ID: 33630146)

  • 21. Prognostic Value of Pretreatment Metabolic Tumor Volume and Total Lesion Glycolysis Using 18F-FDG PET/CT in Patients With Metastatic Renal Cell Carcinoma Treated With Anti-Vascular Endothelial Growth Factor-Targeted Agents.
    Hwang SH; Cho A; Yun M; Choi YD; Rha SY; Kang WJ
    Clin Nucl Med; 2017 May; 42(5):e235-e241. PubMed ID: 28288043
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Volume-based parameters of (18)F-fluorodeoxyglucose positron emission tomography/computed tomography improve outcome prediction in early-stage non-small cell lung cancer after surgical resection.
    Hyun SH; Choi JY; Kim K; Kim J; Shim YM; Um SW; Kim H; Lee KH; Kim BT
    Ann Surg; 2013 Feb; 257(2):364-70. PubMed ID: 22968069
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Volumetric PET parameters can predict overall survival in advanced lung adenocarcinoma.
    Yanarateş A; Yazici B
    Rev Esp Med Nucl Imagen Mol (Engl Ed); 2020; 39(1):3-8. PubMed ID: 31818695
    [TBL] [Abstract][Full Text] [Related]  

  • 24.
    Avella DM; Manjunath Y; Singh A; Deroche CB; Kimchi ET; Staveley-O'Carroll KF; Mitchem JB; Kwon E; Li G; Kaifi JT
    Transl Lung Cancer Res; 2020 Jun; 9(3):515-521. PubMed ID: 32676315
    [TBL] [Abstract][Full Text] [Related]  

  • 25. [Value of (18)F-FDG PET-CT imaging to predict epidermal growth factor receptor mutations in patients with lung squamous cell carcinoma].
    Zhao CY; Deng XY; Wang HS; Cao GP; Ding JN; Ding CY
    Zhonghua Zhong Liu Za Zhi; 2021 Jul; 43(7):795-800. PubMed ID: 34289575
    [No Abstract]   [Full Text] [Related]  

  • 26. The correlation of
    Qu YH; Long N; Ran C; Sun J
    Clin Transl Oncol; 2021 Mar; 23(3):620-627. PubMed ID: 32683540
    [TBL] [Abstract][Full Text] [Related]  

  • 27. An Investigation of the Relationship Between
    Kandemir O; Demir F
    Curr Radiopharm; 2024; 17(1):111-116. PubMed ID: 37644744
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Application of novel quantitative techniques for fluorodeoxyglucose positron emission tomography/computed tomography in patients with non-small-cell lung cancer.
    Wang D; Koh ES; Descallar J; Pramana A; Vinod SK; Ho Shon I
    Asia Pac J Clin Oncol; 2016 Dec; 12(4):349-358. PubMed ID: 27550522
    [TBL] [Abstract][Full Text] [Related]  

  • 29. FDG PET/CT metabolic tumor volume and total lesion glycolysis predict prognosis in patients with advanced lung adenocarcinoma.
    Chung HW; Lee KY; Kim HJ; Kim WS; So Y
    J Cancer Res Clin Oncol; 2014 Jan; 140(1):89-98. PubMed ID: 24194352
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Circulating Tumor DNA Reflects Tumor Metabolism Rather Than Tumor Burden in Chemotherapy-Naive Patients with Advanced Non-Small Cell Lung Cancer:
    Morbelli S; Alama A; Ferrarazzo G; Coco S; Genova C; Rijavec E; Bongioanni F; Biello F; Dal Bello MG; Barletta G; Massollo M; Vanni I; Piva R; Nieri A; Bauckneht M; Sambuceti G; Grossi F
    J Nucl Med; 2017 Nov; 58(11):1764-1769. PubMed ID: 28450567
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Differential expression and prognostic significance of GLUT1 according to histologic type of non-small-cell lung cancer and its association with volume-dependent parameters.
    Koh YW; Lee SJ; Park SY
    Lung Cancer; 2017 Feb; 104():31-37. PubMed ID: 28212997
    [TBL] [Abstract][Full Text] [Related]  

  • 32. The utility of
    Kitajima K; Kawanaka Y; Komoto H; Minami T; Yokoi T; Kuribayashi K; Kijima T; Nakamura A; Hashimoto M; Kondo N; Hasegawa S; Yamakado K
    Hell J Nucl Med; 2021; 24(3):186-198. PubMed ID: 34901959
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Comparison of prognostic values of primary tumor and nodal
    Lim CH; Hyun SH; Moon SH; Cho YS; Choi JY; Lee KH
    Eur Radiol; 2019 Oct; 29(10):5288-5297. PubMed ID: 30899978
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Total lesion glycolysis by 18F-FDG PET/CT is independent prognostic factor in patients with advanced non-small cell lung cancer.
    Yıldırım F; Yurdakul AS; Özkaya S; Akdemir ÜÖ; Öztürk C
    Clin Respir J; 2017 Sep; 11(5):602-611. PubMed ID: 26434685
    [TBL] [Abstract][Full Text] [Related]  

  • 35. 18F-FDG PET/CT of Non-Small Cell Lung Carcinoma Under Neoadjuvant Chemotherapy: Background-Based Adaptive-Volume Metrics Outperform TLG and MTV in Predicting Histopathologic Response.
    Burger IA; Casanova R; Steiger S; Husmann L; Stolzmann P; Huellner MW; Curioni A; Hillinger S; Schmidtlein CR; Soltermann A
    J Nucl Med; 2016 Jun; 57(6):849-54. PubMed ID: 26823566
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Prognostic significance of semi-quantitative FDG-PET parameters in stage I non-small cell lung cancer treated with carbon-ion radiotherapy.
    Shrestha S; Higuchi T; Shirai K; Tokue A; Shrestha S; Saitoh JI; Hirasawa H; Ohno T; Nakano T; Tsushima Y
    Eur J Nucl Med Mol Imaging; 2020 May; 47(5):1220-1227. PubMed ID: 31758225
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Diagnostic utility of metabolic parameters on FDG PET/CT for lymph node metastasis in patients with cN2 non-small cell lung cancer.
    Nakanishi K; Nakamura S; Sugiyama T; Kadomatsu Y; Ueno H; Goto M; Ozeki N; Fukui T; Iwano S; Chen-Yoshikawa TF
    BMC Cancer; 2021 Sep; 21(1):983. PubMed ID: 34474680
    [TBL] [Abstract][Full Text] [Related]  

  • 38. [Prognostic value of (18)F-fluorodeoxyglucose (FDG) positron emission tomography-computed tomography (PET-CT) in extensive-stage small cell lung cancer].
    Ding CY; Guo Z; Li YY; Li TR
    Zhonghua Zhong Liu Za Zhi; 2017 Nov; 39(11):828-834. PubMed ID: 29151289
    [No Abstract]   [Full Text] [Related]  

  • 39. Utility of Volumetric Metabolic Parameters on Preoperative FDG PET/CT for Predicting Tumor Lymphovascular Invasion in Non-Small Cell Lung Cancer.
    Li C; Tian Y; Shen Y; Wen B; He Y
    AJR Am J Roentgenol; 2021 Dec; 217(6):1433-1443. PubMed ID: 33978465
    [No Abstract]   [Full Text] [Related]  

  • 40. Use of
    Rudžianskas V; Korobeinikova E; Rudžianskienė M; Jaselskė E; Adlienė D; Šedienė S; Kulakienė I; Padervinskis E; Jurkienė N; Juozaitytė E
    Medicina (Kaunas); 2018 Dec; 54(6):. PubMed ID: 30544718
    [No Abstract]   [Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 50.