The value of diffusion-weighted imaging for monitoring the chemotherapeutic response of osteosarcoma: A comparison between average apparent diffusion coefficient and minimum apparent diffusion coefficient

Skeletal Radiology

Volumn 39, Issue 2, 2010, Pages 141-146

  Oka, Kiyoshi ^a   Yakushiji, Toshitake ^a   Sato, Hiro ^a   Hirai, Toshinori ^a   Yamashita, Yasuyuki ^a   Mizuta, Hiroshi ^a  

^a KUMAMOTO UNIVERSITY   (Japan)

Author keywords

Chemotherapy; Diffusion weighted imaging; Magnetic resonance imaging; Osteosarcoma

Indexed keywords

CISPLATIN; DOXORUBICIN; GADOLINIUM PENTETATE;

ADOLESCENT; ADULT; ARTICLE; CALCULATION; CANCER CHEMOTHERAPY; CHILD; CLINICAL ARTICLE; CONTRAST ENHANCEMENT; CONTROLLED STUDY; DIFFUSION COEFFICIENT; DIFFUSION WEIGHTED IMAGING; EVALUATION; FEMALE; HISTOPATHOLOGY; HUMAN; IMAGE ANALYSIS; INFECTION; LEUKOPENIA; MALE; NAUSEA; NUCLEAR MAGNETIC RESONANCE IMAGING; OSTEOSARCOMA; PRIORITY JOURNAL; RETROSPECTIVE STUDY; SCHOOL CHILD; STATISTICAL SIGNIFICANCE; THROMBOCYTOPENIA; TREATMENT RESPONSE; TUMOR NECROSIS; VOMITING;

ADOLESCENT; ADULT; ALGORITHMS; ANTINEOPLASTIC AGENTS; BONE NEOPLASMS; CHILD; DIFFUSION MAGNETIC RESONANCE IMAGING; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MALE; OSTEOSARCOMA; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TREATMENT OUTCOME; YOUNG ADULT;

EID: 77949423841     PISSN: 03642348     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00256-009-0830-7     Document Type: Article

References (23)

1. Shen SH, Chiou YY, Wang JH, et al. Diffusion-weighted single-shot echo-planar imaging with parallel technique in assessment of endometrial cancer. AJR Am J Roentgenol. 2008;190:481-8.
2. Gourtsoyianni S, Papanikolaou N, Yarmenitis S, Maris T, Karantanas A, Gourtsoyiannis N. Respiratory gated diffusionweighted imaging of the liver: value of apparent diffusion coefficient measurements in the differentiation between most commonly encountered benign and malignant focal liver lesions. Eur Radiol. 2008;18:486-92.
3. Manenti G, Di Roma M, Mancino S, et al. Malignant renal neoplasms: correlation between ADC values and cellularity in diffusion weighted magnetic resonance imaging at 3 T. Radiol Med. 2008;113:199-213.
4. Hayashida Y, Yakushiji T, Awai K, et al. Monitoring therapeutic responses of primary bone tumors by diffusion-weighted image: initial results. Eur Radiol. 2006;16:2637-43.
5. Uhl M, Saueressig U, van Buiren M, et al. Osteosarcoma: preliminary results of in vivo assessment of tumor necrosis after chemotherapy with diffusion-and perfusion-weighted magnetic resonance imaging. Invest Radiol. 2006;41:618-23.
6. Murakami R, Sugahara T, Nakamura H, et al. Malignant supratentorial astrocytoma treated with postoperative radiation therapy: prognostic value of pretreatment quantitative diffusion-weighted MR imaging. Radiology. 2007;243:493-9.
7. Harris AD, Govindaraj M, Frayne R. Minimum detectable difference of MR diffusion maps in acute ischemic stroke. J Magn Reson Imaging. 2008;27:629-33.
8. Sugahara T, Korogi Y, Kochi M, et al. Usefulness of diffusionweighted MRI with echo-planar technique in the evaluation of cellularity in gliomas. J Magn Reson Imaging. 1999;9:53-60.
9. Provenzale JM, Mukundan S, Barboriak DP. Diffusion-weighted and perfusion MR imaging for brain tumor characterization and assessment of treatment response. Radiology. 2006;239:632-49.
10. Picci P, Bacci G, Campanacci M, et al. Histologic evaluation of necrosis in osteosarcoma induced by chemotherapy. Regional mapping of viable and nonviable tumor. Cancer. 1985;56:1515-21.
11. De Baere T, Vanel D, Shapeero LG, Charpentier A, Terrier P, di Paola M. Osteosarcoma after chemotherapy: evaluation with contrast material-enhanced subtraction MR imaging. Radiology. 1992;185:587-92.
12. Huvos AG, Rosen G, Marcove RC. Primary osteogenic sarcoma: pathologic aspects in 20 patients after treatment with chemotherapy en bloc resection, and prosthetic bone replacement. Arch Pathol Lab Med. 1977;101:14-8.
13. Bacci G, Longhi A, Versari M, Mercuri M, Briccoli A, Picci P. Prognostic factors for osteosarcoma of the extremity treated with neoadjuvant chemotherapy: 15-year experience in 789 patients treated at a single institution. Cancer. 2006;106:1154-61.
14. Rosen G, Marcove RC, Huvos AG, et al. Primary osteogenic sarcoma: eight-year experience with adjuvant chemotherapy. J Cancer Res Clin Oncol. 1983;106:55-67.
15. Holscher HC, Hermans J, Nooy MA, Taminiau AH, Hogendoorn PC, Bloem JL. Can conventional radiographs be used to monitor the effect of neoadjuvant chemotherapy in patients with osteogenic sarcoma? Skeletal Radiol. 1996;25:19-24.
16. Kumpan W, Lechner G, Wittich GR, et al. The angiographic response of osteosarcoma following pre-operative chemotherapy. Skeletal Radiol. 1986;15:96-102.
17. Holscher HC, Bloem JL, Vanel D, et al. Osteosarcoma: chemotherapy-induced changes at MR imaging. Radiology. 1992;182:839-44.
18. Chenevert TL, Stegman LD, Taylor JM, et al. Diffusion magnetic resonance imaging: an early surrogate marker of therapeutic efficacy in brain tumors. J Natl Cancer Inst. 2000;92:2029-36.
19. Mardor Y, Roth Y, Lidar Z, et al. Monitoring response to convection-enhanced taxol delivery in brain tumor patients using diffusion-weighted magnetic resonance imaging. Cancer Res. 2001;61:4971-3.
20. Mardor Y, Pfeffer R, Spiegelmann R, et al. Early detection of response to radiation therapy in patients with brain malignancies using conventional and high b-value diffusion-weighted magnetic resonance imaging. J Clin Oncol. 2003;21:1094-100.
21. Deng J, Miller FH, Rhee TK, et al. Diffusion-weighted MR imaging for determination of hepatocellular carcinoma response to yttrium-90 radioembolization. J Vasc Interv Radiol. 2006;17:1195-200.
22. Theilmann RJ, Borders R, Trouard TP, et al. Changes in water mobility measured by diffusion MRI predict response of metastatic breast cancer to chemotherapy. Neoplasia. 2004;6:831-7.
23. National Cancer Institute sponsored study of classifications of non-Hodgkin's lymphomas: summary and description of a working formulation for clinical usage-the non-Hodgkin's lymphoma pathologic classification project. Cancer 1982; 49:2112-35.