New MR Techniques in Gynecologic Cancer
作者： Jennie C. Wakefield , Kate Downey , Stavroula Kyriazi , Nandita M. deSouza
DOI: 10.2214/AJR.12.8932
关键词:
摘要: OBJECTIVE. Functional MR techniques report on a variety of biologic features tumors: dynamic contrast-enhanced, diffusion-weighted, and intrinsic susceptibility-weighted MRI spectroscopy reflect, at simplistic level, vascularity, cellularity, hypoxic sta tus, metabolism, respectively. This article reviews the evidence for each functional readouts to determine these clinical end points thus influence management ovarian, endometrial, cervical cancer. CONCLUSION. These may be implemented in gynecologic malignancies detect, characterize, stage tumors as well potentially predict outcome measure response treatment.
sci-hub.se 参考文章(86)
Tzu-Chen Yen, Gigin Lin, Koon-Kwan Ng, Yu-Ruei Chen, Chun-Chieh Wang, Yu-Ching Lin, Role of magnetic resonance imaging and apparent diffusion coefficient at 3T in distinguishing between adenocarcinoma of the uterine cervix and endometrium. Chang Gung medical journal. ,vol. 34, pp. 93- 100 ,(2011)
Efficacy of systematic pelvic lymphadenectomy in endometrial cancer (MRC ASTEC trial): a randomised study. The Lancet. ,vol. 373, pp. 125- 136 ,(2009) , 10.1016/S0140-6736(08)61766-3
Michael Soussan, Gaëtan Des Guetz, Vincent Barrau, Vanessa Aflalo-Hazan, Gabriel Pop, Ziad Mehanna, Edmond Rust, Thomas Aparicio, Richard Douard, Robert Benamouzig, Philippe Wind, Véronique Eder, Comparison of FDG-PET/CT and MR with diffusion-weighted imaging for assessing peritoneal carcinomatosis from gastrointestinal malignancy. European Radiology. ,vol. 22, pp. 1479- 1487 ,(2012) , 10.1007/S00330-012-2397-2
Larry W. Oberley, Anil K. Sood, John M. Buatti, Nina A. Mayr, William T.C. Yuh, Jeffrey C. Arnholt, James C. Ehrhardt, Joel I. Sorosky, Vincent A. Magnotta, Kevin S. Berbaum, Weining Zhen, Arnold C. Paulino, Pixel analysis of MR perfusion imaging in predicting radiation therapy outcome in cervical cancer. Journal of Magnetic Resonance Imaging. ,vol. 12, pp. 1027- 1033 ,(2000) , 10.1002/1522-2586(200012)12:6<1027::AID-JMRI31>3.0.CO;2-5
Riccardo Manfredi, Paoletta Mirk, Giulia Maresca, Pasquale A. Margariti, Antonia Testa, Gian Franco Zannoni, Deborah Giordano, Giovanni Scambia, Pasquale Marano, Local-Regional Staging of Endometrial Carcinoma: Role of MR Imaging in Surgical Planning Radiology. ,vol. 231, pp. 372- 378 ,(2004) , 10.1148/RADIOL.2312021184
Keiichiro Nakamura, Noriaki Imafuku, Takeshi Nishida, Ieyasu Niwa, Ikuo Joja, Atsushi Hongo, Junichi Kodama, Yuji Hiramatsu, Measurement of the minimum apparent diffusion coefficient (ADCmin) of the primary tumor and CA125 are predictive of disease recurrence for patients with endometrial cancer Gynecologic Oncology. ,vol. 124, pp. 335- 339 ,(2012) , 10.1016/J.YGYNO.2011.10.014
Gigin Lin, Kung-Chu Ho, Jiun-Jie Wang, Koon-Kwan Ng, Yau-Yau Wai, Yen-Ting Chen, Chee-Jen Chang, Shu-Hang Ng, Chyong-Huey Lai, Tzu-Chen Yen, Detection of lymph node metastasis in cervical and uterine cancers by diffusion‐weighted magnetic resonance imaging at 3T Journal of Magnetic Resonance Imaging. ,vol. 28, pp. 128- 135 ,(2008) , 10.1002/JMRI.21412
Christina Messiou, Veronica A Morgan, Sonali S de Silva, Thomas E Ind, Nandita M. deSouza, Diffusion weighted imaging of the uterus: regional ADC variation with oral contraceptive usage and comparison with cervical cancer. Acta Radiologica. ,vol. 50, pp. 696- 701 ,(2009) , 10.1080/02841850902926473
Bernhard Daniel Klumpp, Philip Aschoff, Nina Schwenzer, Michael Fenchel, Ingmar Koenigsrainer, Claudius Falch, Bjoern Bruecher, Claus D Claussen, Alfred Koenigsrainer, Christina Pfannenberg, Ulrich Kramer, Stephan Miller, None, Peritoneal carcinomatosis: comparison of dynamic contrast-enhanced magnetic resonance imaging with surgical and histopathologic findings. Abdominal Imaging. ,vol. 37, pp. 834- 842 ,(2012) , 10.1007/S00261-011-9825-7
Junping Wang, Tielian Yu, Renju Bai, Haoran Sun, Xin Zhao, Yajun Li, The Value of the Apparent Diffusion Coefficient in Differentiating Stage IA Endometrial Carcinoma From Normal Endometrium and Benign Diseases of the Endometrium Journal of Computer Assisted Tomography. ,vol. 34, pp. 332- 337 ,(2010) , 10.1097/RCT.0B013E3181D0F666