Literature DB >> 8948347

Tumor perfusion studies using fast magnetic resonance imaging technique in advanced cervical cancer: a new noninvasive predictive assay.

N A Mayr1, W T Yuh, V A Magnotta, J C Ehrhardt, J A Wheeler, J I Sorosky, C S Davis, B C Wen, D D Martin, R E Pelsang, R E Buller, L W Oberley, D E Mellenberg, D H Hussey.   

Abstract

PURPOSE: This study investigated sequential changes in tumor blood supply using magnetic resonance (MR) perfusion imaging and assessed their significance in the prediction of outcome of patients with advanced cervical cancer. The purpose of this project was to devise a simple, noninvasive method to predict early signs of treatment failure in advanced cervical cancer treated with conventional radiation therapy. METHODS AND MATERIALS: Sixty-eight MR perfusion studies were performed prospectively in 17 patients with squamous carcinomas (14) and adenocarcinomas (3) of the cervix, Stages bulky IB (1), IIB (5), IIIA (1), IIIB (8), and IVA (1), and recurrent (1). Four sequential studies were obtained in each patient: immediately before radiation therapy (pretherapy), after a dose of 20-22 Gy/ approximately 2 weeks (early therapy), after a dose of 40-45 Gy/ approximately 4-5 weeks (midtherapy), and 4-6 weeks after completion of therapy (follow-up). Perfusion imaging of the tumor was obtained at 3-s intervals in the sagittal plane. A bolus of 0.1 mmol/kg of MR contrast material (gadoteridol) was injected intravenously 30 s after beginning image acquisition at a rate of 9 ml/s using a power injector. Time/signal-intensity curves to reflect the onset, slope, and relative signal intensity (rSI) of contrast enhancement in the tumor region were generated. Median follow-up was 8 months (range 3-18 months).
RESULTS: Tumors with a higher tissue perfusion (rSI > or = 2.8) in the pretherapy and early therapy (20-22 Gy) studies had a lower incidence of local recurrence than those with a rSI of < 2.8, but this was not statistically significant (13% vs. 67%; p = 0.05). An increase in tumor perfusion early during therapy (20-22 Gy), particularly to an rSI of > or = 2.8, was the strongest predictor of local recurrence (0% vs. 78%; p = 0.002). However, pelvic examination during early therapy (20-22 Gy) commonly showed no appreciable tumor regression. The slope of the time/signal-intensity curve obtained before and during radiation therapy also correlated with local recurrence. Follow-up perfusion studies did not provide information to predict recurrence.
CONCLUSION: These preliminary results suggest that two simple MR perfusion studies before and early in therapy can offer important information on treatment outcome within the first 2 weeks of radiation therapy before response is evident by clinical examination. High tumor perfusion before therapy and increasing or persistent high perfusion early during the course of therapy appear to be favorable signs. High perfusion suggests a high blood and oxygen supply to the tumor. The increase in tumor perfusion seen in some patients early during radiation therapy suggests improved oxygenation of previously hypoxic cells following early cell kill. Radiation therapy is more effective in eradicating these tumors, resulting in improved local control. Our technique may be helpful in identifying early-while more aggressive therapy can still be implemented-those patients who respond poorly to conventional radiation therapy.

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Mesh:

Year:  1996        PMID: 8948347     DOI: 10.1016/s0360-3016(97)85090-0

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  41 in total

Review 1.  Causes and effects of heterogeneous perfusion in tumors.

Authors:  R J Gillies; P A Schornack; T W Secomb; N Raghunand
Journal:  Neoplasia       Date:  1999-08       Impact factor: 5.715

Review 2.  Functional MRI for radiotherapy dose painting.

Authors:  Uulke A van der Heide; Antonetta C Houweling; Greetje Groenendaal; Regina G H Beets-Tan; Philippe Lambin
Journal:  Magn Reson Imaging       Date:  2012-07-06       Impact factor: 2.546

Review 3.  The promise of dynamic contrast-enhanced imaging in radiation therapy.

Authors:  Yue Cao
Journal:  Semin Radiat Oncol       Date:  2011-04       Impact factor: 5.934

4.  Perfusion MRI for the prediction of treatment response after preoperative chemoradiotherapy in locally advanced rectal cancer.

Authors:  Joon Seok Lim; Daehong Kim; Song-Ee Baek; Sungmin Myoung; Junjeong Choi; Sang Joon Shin; Myeong-Jin Kim; Nam Kyu Kim; Jinsuk Suh; Ki Whang Kim; Ki Chang Keum
Journal:  Eur Radiol       Date:  2012-03-17       Impact factor: 5.315

5.  Temporal analysis of tumor heterogeneity and volume for cervical cancer treatment outcome prediction: preliminary evaluation.

Authors:  Jeffrey W Prescott; Dongqing Zhang; Jian Z Wang; Nina A Mayr; William T C Yuh; Joel Saltz; Metin Gurcan
Journal:  J Digit Imaging       Date:  2009-01-27       Impact factor: 4.056

Review 6.  Magnetic resonance imaging of the tumor microenvironment in radiotherapy: perfusion, hypoxia, and metabolism.

Authors:  Masayuki Matsuo; Shingo Matsumoto; James B Mitchell; Murali C Krishna; Kevin Camphausen
Journal:  Semin Radiat Oncol       Date:  2014-07       Impact factor: 5.934

7.  Ultra-early predictive assay for treatment failure using functional magnetic resonance imaging and clinical prognostic parameters in cervical cancer.

Authors:  Nina A Mayr; William T C Yuh; David Jajoura; Jian Z Wang; Simon S Lo; Joseph F Montebello; Kyle Porter; Dongqing Zhang; D Scott McMeekin; John M Buatti
Journal:  Cancer       Date:  2010-02-15       Impact factor: 6.860

Review 8.  Radiobiological basis of SBRT and SRS.

Authors:  Chang W Song; Mi-Sook Kim; L Chinsoo Cho; Kathryn Dusenbery; Paul W Sperduto
Journal:  Int J Clin Oncol       Date:  2014-07-05       Impact factor: 3.402

9.  Dynamic contrast-enhanced magnetic resonance imaging as a predictor of clinical outcome in canine spontaneous soft tissue sarcomas treated with thermoradiotherapy.

Authors:  Benjamin L Viglianti; Michael Lora-Michiels; Jeanie M Poulson; Lan Lan; Daohai Yu; Dahio Yu; Linda Sanders; Oana Craciunescu; Zeljko Vujaskovic; Donald E Thrall; James Macfall; Cecil H Charles; Terence Wong; Mark W Dewhirst
Journal:  Clin Cancer Res       Date:  2009-07-21       Impact factor: 12.531

10.  Enhancing fraction measured using dynamic contrast-enhanced MRI predicts disease-free survival in patients with carcinoma of the cervix.

Authors:  S B Donaldson; D L Buckley; J P O'Connor; S E Davidson; B M Carrington; A P Jones; C M L West
Journal:  Br J Cancer       Date:  2009-11-17       Impact factor: 7.640

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