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1.
Chinese Journal of Oncology ; (12): 202-205, 2007.
Article in Chinese | WPRIM | ID: wpr-255685

ABSTRACT

<p><b>OBJECTIVE</b>To evaluate the correlation of bone marrow status in haemotological malignancy patient with the variable value of dynamic contrast-enhanced MR (DCE-MRI).</p><p><b>METHODS</b>DCE-MRI result were obtained from 25 patients with pathologically proven haematological malignancies. Time-signal intensity curves (TIC) was generated from the region of the iliac crest corresponding to the planned biopsy site. Enhancement characteristics including peak enhance ratio (PER) , maximum slope (Slopemax), time to peak ( TP) and mean time (MT) were analyzed. The patients received bone marrow biopsy on the crest 30 min after DCE-MRI, and then the parameters of bone marrow histology including cellularity was analyzed.</p><p><b>RESULTS</b>In this series, 3 patients showed type B TIC, 7 type C, 13 type D and 2 type E. The bone marrow cellularity with haematological malignancies cannot be demostrated by TIC type. The mean PER value and Slopemax value in the patients with hypercellularity was significantly higher than that with normal cellularity and hypocellularity. The mean TTP value of the patients with hypercellularity (60.20 +/- 61.62) was significantly lower than that in the patients with hypocellularity (97.43 +/- 1.07) or normal cellularity (78.44 +/- 38.02). There was no significant difference in the mean MT value among three groups.</p><p><b>CONCLUSION</b>Our preliminary findings suggest that the bone marrow cellularity in the patient with haematological malignancies can not be revealed by conventional MR, but it may be demonstrated by semi-quantitative calculation of the variable value from DCE-MR imaging.</p>


Subject(s)
Adult , Aged , Female , Humans , Male , Middle Aged , Bone Marrow , Pathology , Image Enhancement , Methods , Leukemia , Pathology , Lymphoma, Non-Hodgkin , Pathology , Magnetic Resonance Imaging , Methods , Multiple Myeloma , Pathology
2.
Chinese Medical Journal ; (24): 1256-1262, 2006.
Article in English | WPRIM | ID: wpr-265217

ABSTRACT

<p><b>BACKGROUND</b>Conventional magnetic resonance (MR) scanning techniques can identify bone marrow (BM) containing mostly fat cells. But they are not able to differentiate BM tumor infiltration, BM fibrosis and normal red BM. This is particularly problematic in assessment of recurrent or refractory hematological malignancy. This pilot study used dynamic contrast-enhanced MR imaging (DCE-MRI) to evaluate the bone marrow status and to determine whether several calculated parameters derived from the DCE-MRI correlate with histological characteristics of marrow, especially with the tumor fraction (TF).</p><p><b>METHODS</b>DCE-MRI scans were performed in 25 patients with proven or known hematological malignancy who were about to undergo bone marrow biopsy of the posterior iliac crest. The location chosen for biopsy was examined with MRI approximately one hour prior to the biopsy. Time-signal intensity curves (TIC) were generated from the region of the iliac crest corresponding to the planned biopsy site. Enhancement parameters were calculated, including peak enhancement ratio (PER), maximum enhancement slope (Slope(max)), time to peak (TTP) and mean time (MT). The biopsy specimen was reported synoptically, with relevant reported parameters including cellularity and tumor fraction (TF).</p><p><b>RESULTS</b>PER values were significantly higher for the bone marrow tumor infiltration group than for the normal bone marrow group (P < 0.05). A significant positive correlation was found between PER and TF as well as Slope(max) and TF. A negative correlation was found between TTP and TF. There was no significant difference in the mean TTP and MT values between the BM tumor infiltration group and the normal bone marrow group.</p><p><b>CONCLUSIONS</b>The presence of diffuse bone marrow infiltration in patients with haematological malignancies could be verified using DCE-MRI.</p>


Subject(s)
Adult , Aged , Female , Humans , Male , Middle Aged , Bone Marrow , Pathology , Hematologic Neoplasms , Pathology , Image Enhancement , Magnetic Resonance Imaging , Methods
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