The mean apparent diffusion coefficient value (ADCmean) on primary cervical cancer is a predictive marker for disease recurrence

Gynecologic Oncology

Volumn 127, Issue 3, 2012, Pages 478-483

  Nakamura, Keiichiro ^a   Joja, Ikuo ^a   Nagasaka, Takeshi ^a   Fukushima, Chikako ^a   Kusumoto, Tomoyuki ^a   Seki, Noriko ^a   Hongo, Atsushi ^a   Kodama, Junichi ^a   Hiramatsu, Yuji ^a  

^a OKAYAMA UNIVERSITY   (Japan)

Author keywords

Apparent diffusion coefficient values; Cervical cancer; Magnetic resonance imaging; Predictive marker for disease recurrence

Indexed keywords

BIOLOGICAL MARKER;

ADULT; AGED; ARTICLE; CANCER RECURRENCE; DIFFUSION COEFFICIENT; DISEASE FREE SURVIVAL; FEMALE; HUMAN; HUMAN TISSUE; LYMPH NODE DISSECTION; MAJOR CLINICAL STUDY; NUCLEAR MAGNETIC RESONANCE IMAGING; PREDICTIVE VALUE; PREOPERATIVE PERIOD; PRIMARY TUMOR; PRIORITY JOURNAL; PROGNOSIS; RADICAL HYSTERECTOMY; RECEIVER OPERATING CHARACTERISTIC; RISK ASSESSMENT; UTERINE CERVIX CANCER;

ADULT; AGED; COHORT STUDIES; DIFFUSION MAGNETIC RESONANCE IMAGING; FEMALE; HUMANS; MIDDLE AGED; NEOPLASM RECURRENCE, LOCAL; ROC CURVE; UTERINE CERVICAL NEOPLASMS;

EID: 84868595884     PISSN: 00908258     EISSN: 10956859     Source Type: Journal    
DOI: 10.1016/j.ygyno.2012.07.123     Document Type: Article

References (28)

1. R. Siegel, D. Naishadham, and A. Jemal Cancer statistics, 2012 CA Cancer J Clin 62 2012 10 29
2. C.L. Kosary FIGO stage, histology, histologic grade, age and race as prognostic factors in determining survival for cancers of the female gynecological system: an analysis of 1973-87 SEER cases of cancers of the endometrium, cervix, ovary, vulva, and vagina Semin Surg Oncol 10 1994 31 46
3. J.H. Farley, K.W. Hickey, and J.W. Carlson Adenosquamous histology predicts a poor outcome for patients with advanced-stage, but not early-stage, cervical carcinoma Cancer 97 2003 2196 2202
4. H.O. Smith, M.F. Tiffany, C.R. Qualls, and C.R. Key The rising incidence of adenocarcinoma relative to squamous cell carcinoma of the uterine cervix in the United States - a 24-year population-based study Gynecol Oncol 78 2000 97 105
5. S. Liu, R. Semenciw, and Y. Mao Cervical cancer: the increasing incidence of adenocarcinoma and adenosquamous carcinoma in younger women CMAJ 164 2001 1151 1152
6. P. Sasieni, and J. Adams Changing rates of adenocarcinoma and adenosquamous carcinoma of the cervix in England Lancet 357 2001 1490 1493
7. F. Landoni, A. Maneo, and A. Lolombo Randomized study of radical surgery versus radiotherapy for stage Ib-IIa cervical cancer Lancet 350 1997 535 540
8. H.M. Keys, B.N. Bundy, and F.B. Stchman Cisplatin, radiation and adjuvant hysterectomy compared with radiation and adjuvant hysterectomy for bulky stage Ib cervical carcinoma N Engl J Med 340 1999 1154 1161
9. G. Delgado, B.N. Bundy, and W.C. Fowler Jr. A prospective surgical pathological study of stage I squamous carcinoma of the cervix: a gynecologic oncology group study Gynecol Oncol 35 1989 314 320
10. R. Bammer Basic principles of diffusion-weighted imaging Eur J Radiol 45 2003 169 184
11. D.M. Koh, and D.J. Collins Diffusion-weighted MRI in the body: applications and challenges in oncology AJR Am J Roentgenol 188 2007 1622 1635
12. M. Bruegel, K. Holzapfel, and J. Gaa Characterization of focal liver lesions by ADC measurements using a respiratory triggered diffusion-weighted single-shot echo-planar MR imaging technique Eur Radiol 18 2008 477 485
13. H.K. Lim, J.K. Kim, K.A. Kim, and K.S. Cho Prostate cancer: apparent diffusion coefficient map with T2-weighted images for detection - a multireader study Radiology 250 2009 145 151
14. J. Zhang, Y.M. Tehrani, and L. Wang Renal masses: characterization with diffusion-weighted MR imaging - a preliminary experience Radiology 247 2008 458 464
15. Y. Hayashida, T. Hirai, and S. Morishita Diffusion-weighted imaging of metastatic brain tumors: comparison with histologic type and tumor cellularity AJNR Am J Neuroradiol 27 2006 1419 1425
16. N. Kanauchi, H. Oizumi, and T. Honma Role of diffusion-weighted magnetic resonance imaging for predicting of tumor invasiveness for clinical stage IA non-small cell lung cancer Eur J Cardiothorac Surg 35 2009 706 710
17. B. Taouli, R.K. Thakur, and L. Mannelli Renal lesions: characterization with diffusion-weighted imaging versus contrast-enhanced MR imaging Radiology 251 2009 398 407
18. National Comprehensive Cancer Network Clinical Practice Guidelines in Oncology, Cervical Cancer - v.1.2011.
19. J.M. Provenzale, S. Mukundan, and D.P. Barboriak Diffusion-weighted and perfusion MR imaging for brain tumor characterization and assessment of treatment response Radiology 239 2006 632 649
20. N. Matsushima, M. Maeda, M. Takamura, and K. Takeda Apparent diffusion coefficients of benign and malignant salivary gland tumors. Comparison to histopathological findings J Neuroradiol 34 2007 183 189
21. A.A. Abdel Razek, N.Y. Soliman, and S. Elkhamary Role of diffusion-weighted MR imaging in cervical lymphadenopathy Eur Radiol 16 2006 1468 1477
22. P.D. Humphries, N.J. Sebire, M.J. Siegel, and O.E. Olsen Tumors in pediatric patients at diffusion-weighted MR imaging: apparent diffusion coefficient and tumor cellularity Radiology 245 2007 848 854
23. G.S. Payne, M. Schmidt, and V.A. Morgan Evaluatyon of magnetic resonance diffusion and spectroscopy measurements as predictive biomarkers in stage 1 cervical cancer Gynecol Oncol 116 2010 246 252
24. E. Charles-Edwards, V. Morgan, and A.D. Attygalle Endovaginal magnetic resonance imaging of stage 1A/1B cervical cancer with AT2- and diffusion-weighted magnetic resonance technique: effect of lesion size and previous cone biopsy on tumor detectability Gynecol Oncol 120 2011 368 373
25. K. Nakamura, N. Imafuku, and T. Nishida Measurement of the minimum apparent diffusion coefficient (ADCmin) of the primary tumor and CA125 are predictive of disease recurrence for patients with endometrial cancer Gynecol Oncol 124 2012 335 339
26. T. Aoyagi, K. Shuto, and S. Okazumi Apparent diffusion coefficient values measured by diffusion-weighted imaging predict chemoradiotherapeutic effect for advanced esophageal cancer Dig Surg 28 2011 252 257
27. S. Saksena, R. Jain, and J. Narang Predicting survival in glioblastomas using diffusion tensor imaging metrics J Magn Reson Imaging 32 2010 788 795
28. K. Nakamura, I. Joja, and J. Kodama Measurement of SUVmax plus ADCmin of the primary tumour is a predictor of prognosis for patients with cervical cancer Eur J Nucl Med Mol Imaging 39 2012 283 290