Nisha Rani1, Prof Baljinder Singh1, Dr Naredra Kumar2, Dr Paramjeet Singh3, Dr Anil Kumar Mishra4, and Dr Puja Hazari4
1Nuclear medicine, Postgraduate Institute of Medical Education and Research, Chandigarh, India, 2Radiotherapy, Postgraduate Institute of Medical Education and Research, Chandigarh, India, 3Radiodiagnosis and Imaging, Postgraduate Institute of Medical Education and Research, Chandigarh, India, 4Division of Cyclotron and Radiopharmaceutical Sciences, INMAS DRDO, Delhi, India
Synopsis
The use of complimentary imaging modalities in the glioma management of individual patients can provide additional information for further treatment strategy. In view of the limitations of anatomical imaging, cumbersome radio labeling procedures of PET tracers with amino-acids, in the present study, we have performed multimodality imaging using 99mTc-methionine SPECT (as cost effective substitute for expensive amino acid PET imaging), perfusion MRI and MRS for the the differentiation of radiation necrosis from recurrent/residual glioma by the means of serial imaging.
Abstract
Introduction: The current approach of the use of
combinational radiological techniques and imaging protocols those are designed
for making head-to-head comparison, is gradually becoming the ‘standard of care’
during the post –surgical/treatment
follow-up period in glioma patients. Moreover, in the follow-up studies, the use
of a complementary imaging method (eg, PET or MRS/Perfusion MRI) in the
management of individual patients could provide an important additional
information on glioma activity 1, 2,
3. In this study, 99mTc MDM (bis-methionine-DTPA) SPECT 4, 5 was used for the
detection of recurrent/residual glioma from radiation necrosis and the results
were compared with DSCE-MRI, MRS and clinical findings.
Methods:
This
prospective study enrolled 72 cases initially presented with
histologically proven glioma and underwent surgical intervention followed by
radiotherapy (+/- chemotherapy). Amongst these 72 patients, fifty patients (50/72)
were studied in the initial diagnostic phase after resection of the tumor and
remaining 22 patients had been treated previously and studied in the recurrent
disease phase. Fifty (50/92) patients underwent sequential follow-up for response assessment. These fifty patients underwent both 99mTc-MDM-SPECT and MR
imaging procedures at two time points, that is, at 1 or 2 weeks prior radiotherapy/chemotherapy and at 6 months after
radiotherapy/concurrent or adjuvant chemotherapy treatment, respectively. Out of 50 patients, twenty-six (26/50)
patients underwent an additional follow-up imaging at post-therapy follow-up
period at 12 months. Among these 26 patients, eight (8/26) patients had a
fourth 99mTc-MDM-SPECT and MR imaging study at the median follow-up period of
22.5 months (range, 18-24 months). The target (lesion) to non-target (T/NT)
ratio was evaluated for MDM-SPECT and SPECT/MR fusion was done by appropriate
software (Multimodality Oasis Server version 1.9.4.3, Segami Corp.). Relative
cerebral blood volume (nCBVmax) maps were calculated using perfusion analysis
software (Nordic NeuroLab, Bergen, Norway) and signal intensities of choline (Cho),
total creatine (Cr), N-acetyl aspartate (NAA), and lipids-lactate (LL) were
analysed to calculate Cho/Cr, Cho/NAA, Cr/NAA, Cr/Cho and Cho/LL ratios. Final diagnosis
was based on the follow-up imaging findings (both visual and quantitative) as
well as the consensus of multidisciplinary neuro-oncology team based on clinical
course.
Results:
After follow-up in the present
study, twenty- five (25/72) patients showed necrosis and
remaining 47 patients showed recurrent or residual disease.. Table no.1 illustrating
mean ± SD values for recurrent/residual and radiation necrosis for all seven quantitative
ratios with their statistical significance.
The quantitative ratios (T/NT, nCBVmax , Cho/NAA, Cho/Cr, Cr/NAA, Cr/Cho
and Cho/LL) achieved an acceptable balance between sensitivity and specificity
for distinguishing recurrent tumor to radiation necrosis and each ratio defined
a cut off for diagnosing recurrent tumor.
The
ratios are as follows: T/NT> 1.90
(sensitivity 97.9 % and specificity 92%, AUC 0.971 ±.02), nCBVmax > 3.32
(sensitivity 84.6%, specificity 93%, 0.932 ±.03), Cho/NAA >1.57 (sensitivity
81%, specificity 73%, AUC 0.714 ±.10 ),
Cho/Cr>1.64 (sensitivity 85.3%, specificity 73.7%, AUC 0.758 ±.09), Cr/NAA>1.06 (sensitivity 57.1%, specificity
63.6%, AUC 0.569 ±.10), Cr/Cho ≤0.60 (sensitivity 72.3%, specificity 81%, AUC 0.771
±.09) and Cho/LL>0.90 (sensitivity 71.4%, specificity 50%). The T/NT ratio showed a positive correlation
with CBV, Cho/NAA, Cho/Cr, and Cho/LL (r = 0.775, P <0.00001; r = 0.467, P =
0.007; r = 0.368, P = 0.03 and r = 0.443, P = 0.03), respectively. The
metabolite ratios of Cr/NAA showed a trend for correlation with the T/NT ratio;
however they did not reach statistical significance (r = 0.185, P = 0.31). The
Cr/Cho ratio showed negative correlation with T/NT ratio (r = -0.482, P = 0.005).
The T/NT ratio showed strongest linear correlation with CBV followed by Cho/NAA.
Discussion: Our results of 99m-Tc MDM SPECT and advance
MR quantifications are in consonance with the previous studies 6, 7, 8. Furthermore, in the
follow-up of 50 patients with repeat imaging, we observed that any change
(increase or decrease) in T/NT ratio was significantly associated with the similar
pattern in CBV, MR Spectroscopy metabolite ratios.
Conclusion:
This study indicates that 99mTc-MDM
SPECT/CT and DSCE MRI demonstrated more accurate compared to MRS for the
detection of tumor recurrence in glioma patients. Furthermore, this study
revealed that co-registered MDM-SPECT and MRI facilitates for identification of
regions with recurrence. Advanced imaging 99mTc-MDM SPECT/CT with functional
MRI may be a powerful tool for accurate planning further glioma patient management. Acknowledgements
The author (Nisha Rani) is thankful to INMAS, DRDO, Delhi for providing
funding to this project as an extramural grant. The author is also thankful to Nordic Neuro Lab, Norway and Segami Corp, Houston,
USA for providing us software on trial basis.References
1. Deng SM, Zhang B, Wu YW, Zhang W,
Chen YY. Detection of glioma recurrence by 11C-methionine positron emission
tomography and dynamic susceptibility contrast-enhanced magnetic resonance
imaging: a meta-analysis. Nucl Med Commun. 2013;34(8):758-66.
2. Jenkinson MD, Du Plessis DG,
Walker C, Smith TS. Advanced MRI in the management of adult gliomas. Br J Neurosurg.
2007;21(6):550-61.
3. Chen W. Clinical applications of PET in brain
tumors. J Nucl Med. 2007;48(9):1468-81.
4. Singh B, Kumar N, Sharma S, Watts
A, Hazari PP, Rani N, et al. 99mTc-MDM Brain SPECT for the Detection of
Recurrent/Remnant Glioma—Comparison With ceMRI and 18F-FLT PET Imaging: Initial
Results. Clin Nucl Med. 2015;40(10):e475-e479.
5. Rani N, Singh B, Kumar N, Singh P, Hazari PP,
Singh H, et al. Differentiation of Recurrent/Residual Glioma From Radiation
Necrosis Using Semi Quantitative 99mTc MDM (Bis-Methionine-DTPA) Brain SPECT/CT
and Dynamic Susceptibility Contrast-Enhanced MR Perfusion: A Comparative Study.
Clinical nuclear medicine. 2018 Mar 1;43(3):e74-81.
6. Sadeghi N, Salmon I, Tang BN, et
al. Correlation between dynamic susceptibility contrast perfusion MRI and
methionine metabolism in brain gliomas: preliminary results. J Magn Reson
Imaging. 2006;24:989–994.
7. Sadeghi N, Salmon I, Decaestecker
C, et al. Stereotactic comparison among cerebral blood volume, methionine
uptake, and histopathology in brain glioma. AJNR Am J Neuroradiol.
2007;28:455–461.
8. Kracht LW, Friese M, Herholz K, et al.
Methyl-[11C]-l-methionine uptake as measured by positron emission tomography
correlates to microvessel density in patients with glioma. Eur J Nucl Med Mol
Imaging. 2003;30:868–873