165 related articles for article (PubMed ID: 27164032)
1. MRI sequences for the detection of individual lymph nodes in regional breast radiotherapy planning.
van Heijst TC; van Asselen B; Pijnappel RM; Cloos-van Balen M; Lagendijk JJ; van den Bongard D; Philippens ME
Br J Radiol; 2016 Jul; 89(1063):20160072. PubMed ID: 27164032
[TBL] [Abstract][Full Text] [Related]
2. Supine MRI for regional breast radiotherapy: imaging axillary lymph nodes before and after sentinel-node biopsy.
van Heijst TCF; Eschbach-Zandbergen D; Hoekstra N; van Asselen B; Lagendijk JJW; Verkooijen HM; Pijnappel RM; de Waard SN; Witkamp AJ; van Dalen T; van den Bongard HJGD; Philippens MEP
Phys Med Biol; 2017 Aug; 62(16):6746-6761. PubMed ID: 28556781
[TBL] [Abstract][Full Text] [Related]
3. Nanoparticle-enhanced MRI to evaluate radiation delivery to the regional lymphatics for patients with breast cancer.
MacDonald SM; Harisinghani MG; Katkar A; Napolitano B; Wolfgang J; Taghian AG
Int J Radiat Oncol Biol Phys; 2010 Jul; 77(4):1098-104. PubMed ID: 19836160
[TBL] [Abstract][Full Text] [Related]
4. T2-Weighted 4D Magnetic Resonance Imaging for Application in Magnetic Resonance-Guided Radiotherapy Treatment Planning.
Freedman JN; Collins DJ; Bainbridge H; Rank CM; Nill S; Kachelrieß M; Oelfke U; Leach MO; Wetscherek A
Invest Radiol; 2017 Oct; 52(10):563-573. PubMed ID: 28459800
[TBL] [Abstract][Full Text] [Related]
5. Loco-regional conformal radiotherapy of the breast: delineation of the regional lymph node clinical target volumes in treatment position.
Dijkema IM; Hofman P; Raaijmakers CP; Lagendijk JJ; Battermann JJ; Hillen B
Radiother Oncol; 2004 Jun; 71(3):287-95. PubMed ID: 15172144
[TBL] [Abstract][Full Text] [Related]
6. Inter-observer agreement of MRI-based tumor delineation for preoperative radiotherapy boost in locally advanced rectal cancer.
Burbach JP; Kleijnen JP; Reerink O; Seravalli E; Philippens ME; Schakel T; van Asselen B; Raaymakers BW; van Vulpen M; Intven M
Radiother Oncol; 2016 Feb; 118(2):399-407. PubMed ID: 26700601
[TBL] [Abstract][Full Text] [Related]
7. Weekly response assessment of involved lymph nodes to radiotherapy using diffusion-weighted MRI in oropharynx squamous cell carcinoma.
Tyagi N; Riaz N; Hunt M; Wengler K; Hatzoglou V; Young R; Mechalakos J; Lee N
Med Phys; 2016 Jan; 43(1):137. PubMed ID: 26745906
[TBL] [Abstract][Full Text] [Related]
8. Radiotherapy of liver metastases. Comparison of target volumes and dose-volume histograms employing CT- or MRI-based treatment planning.
Pech M; Mohnike K; Wieners G; Bialek E; Dudeck O; Seidensticker M; Peters N; Wust P; Gademann G; Ricke J
Strahlenther Onkol; 2008 May; 184(5):256-61. PubMed ID: 18427756
[TBL] [Abstract][Full Text] [Related]
9. 3.0 T relaxation time measurements of human lymph nodes in adults with and without lymphatic insufficiency: Implications for magnetic resonance lymphatic imaging.
Crescenzi R; Donahue PM; Braxton VG; Scott AO; Mahany HB; Lants SK; Donahue MJ
NMR Biomed; 2018 Dec; 31(12):e4009. PubMed ID: 30311705
[TBL] [Abstract][Full Text] [Related]
10. Axillary lymph node metastases: a statistical analysis of various parameters in MRI with USPIO.
Stets C; Brandt S; Wallis F; Buchmann J; Gilbert FJ; Heywang-Köbrunner SH
J Magn Reson Imaging; 2002 Jul; 16(1):60-8. PubMed ID: 12112504
[TBL] [Abstract][Full Text] [Related]
11. Variabilities of Magnetic Resonance Imaging-, Computed Tomography-, and Positron Emission Tomography-Computed Tomography-Based Tumor and Lymph Node Delineations for Lung Cancer Radiation Therapy Planning.
Karki K; Saraiya S; Hugo GD; Mukhopadhyay N; Jan N; Schuster J; Schutzer M; Fahrner L; Groves R; Olsen KM; Ford JC; Weiss E
Int J Radiat Oncol Biol Phys; 2017 Sep; 99(1):80-89. PubMed ID: 28816167
[TBL] [Abstract][Full Text] [Related]
12. 3D MRI-based tumor delineation of ocular melanoma and its comparison with conventional techniques.
Daftari Ik; Aghaian E; O'Brien JM; Dillon W; Phillips TL
Med Phys; 2005 Nov; 32(11):3355-62. PubMed ID: 16372413
[TBL] [Abstract][Full Text] [Related]
13. Added value of diffusion-weighted MRI for nodal radiotherapy planning in pelvic malignancies.
Sushentsev N; Martin H; Rimmer Y; Barrett T
Clin Transl Oncol; 2019 Oct; 21(10):1383-1389. PubMed ID: 30868387
[TBL] [Abstract][Full Text] [Related]
14. Characterization of cervical lymph-nodes using a multi-parametric and multi-modal approach for an early prediction of tumor response to chemo-radiotherapy.
Scalco E; Marzi S; Sanguineti G; Vidiri A; Rizzo G
Phys Med; 2016 Dec; 32(12):1672-1680. PubMed ID: 27639451
[TBL] [Abstract][Full Text] [Related]
15. Pre-operative sentinel lymph node localization in breast cancer with superparamagnetic iron oxide MRI: the SentiMAG Multicentre Trial imaging subprotocol.
Pouw JJ; Grootendorst MR; Bezooijen R; Klazen CA; De Bruin WI; Klaase JM; Hall-Craggs MA; Douek M; Ten Haken B
Br J Radiol; 2015; 88(1056):20150634. PubMed ID: 26492466
[TBL] [Abstract][Full Text] [Related]
16. A Comparison of Lumpectomy Cavity Delineations Between Use of Magnetic Resonance Imaging and Computed Tomography Acquired With Patient in Prone Position for Radiation Therapy Planning of Breast Cancer.
Huang W; Currey A; Chen X; Li B; Bergom C; Kelly T; Wilson JF; Li XA
Int J Radiat Oncol Biol Phys; 2016 Mar; 94(4):832-40. PubMed ID: 26972656
[TBL] [Abstract][Full Text] [Related]
17. Cross-sectional imaging to evaluate the extent of regional nodal disease in breast cancer patients undergoing neoadjuvant systemic therapy.
Anderson TL; Glazebrook KN; Murphy BL; Viers LD; Hieken TJ
Eur J Radiol; 2017 Apr; 89():163-168. PubMed ID: 28267534
[TBL] [Abstract][Full Text] [Related]
18. Delineation guidelines for the lymphatic target volumes in 'prone crawl' radiotherapy treatment position for breast cancer patients.
Stouthandel MEJ; Kayser F; Vakaet V; Khoury R; Deseyne P; Monten C; Schoepen M; Remouchamps V; De Caluwé A; Janoray G; De Neve W; Mazy S; Veldeman L; Van Hoof T
Sci Rep; 2021 Nov; 11(1):22529. PubMed ID: 34795352
[TBL] [Abstract][Full Text] [Related]
19. Validation of 3 T MRI including diffusion-weighted imaging for nodal staging of newly diagnosed intermediate- and high-risk prostate cancer.
von Below C; Daouacher G; Wassberg C; Grzegorek R; Gestblom C; Sörensen J; Ahlström H; Waldén M
Clin Radiol; 2016 Apr; 71(4):328-34. PubMed ID: 26774372
[TBL] [Abstract][Full Text] [Related]
20. Detection of prostate cancer with magnetic resonance imaging: optimization of T1-weighted, T2-weighted, dynamic-enhanced T1-weighted, diffusion-weighted imaging apparent diffusion coefficient mapping sequences and MR spectroscopy, correlated with biopsy and histopathological findings.
Aydin H; Kizilgöz V; Tatar IG; Damar C; Ugan AR; Paker I; Hekimoğlu B
J Comput Assist Tomogr; 2012; 36(1):30-45. PubMed ID: 22261768
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]