Arash Latifoltojar1, Natacha Rosa1, Maria Klusmann2, Mark Duncan2, Kirit Ardeshna2, Jonathan Lambert2, Alan Bainbridge2, Magdalena Sokolska2, Sajir Mohamedbhai2, and Shonit Punwani1
1University College London, London, United Kingdom, 2University College London Hospital, London, United Kingdom
Synopsis
Whole body MRI (WB-MRI) offers a radiation-free imaging technique for staging lymphoma. However, there are conflicting reports concerning appropriate sequence(s) being used in various WB-MRI protocols. In this work we investigated diagnostic performance of different morphological and functional MRI sequences as part of a WB-MRI protocol. Introduction
Current gold standard imaging in the
assessment of lymphoma is 2-deoxy-2-(18F) fluoro-D-glucose positron emission
tomography fused with computer tomography (PET-CT) scan. Whole body MRI
(WB-MRI), integrating structural and functional MRI sequences, offers an
alternative radiation-free imaging method. However, currently, there is no
consensus on appropriate MRI sequences for WB-MRI protocols with conflicting
reports on diagnostic performances of different protocols [1, 2, 3]. We
evaluated multiple MRI sequences as part of a WB-MRI protocol for staging of
newly diagnosed lymphoma patients.
Material and Methods
Twenty newly diagnosed patients (Male/female
10/10, median age 31.5, range 22-88) with histologically proven lymphoma were
prospectively recruited and underwent WB-MR imaging using a 3.0 T scanner.
Axial T2-weighted turbo-spin echo (TSE) and diffusion-weighted imaging (DWI)
were supplemented by coronal pre- and post-contrast 2-point mDixon imaging,
covering head to mid-thigh (figure 1). For each patient, two radiologists,
blinded to other imaging investigations, independently reviewed 3 set of images
(1) T2-weighted only, (2) b1000 DWI+ T1 pre-contrast in-phase mDixon (IP) and
(3) T1 post-contrast water-only mDixon (Post-C). Each set of images was
reviewed in a random paradigm with a minimum of 7 days wash out period between
readings for the same patient. Involvement of nodal sites (cervical/supraclavicular,
subpectoral/axillary, iliac, inguinal, mesenteric/retroperitoneal, mediastinal,
splenic hilar and liver hilar) and extra-nodal sites (lung, chest wall, liver,
spleen, stomach and bone marrow) were highlighted and transferred to study
specific proforma and final Ann-Arbor staging for each sequence derived. All
patients underwent PET-CT imaging at baseline, which in conjunction with
follow-up imaging and multi-disciplinary team meeting outcome established the reference
standard against which MRI sequences were tested. Cohen’s kappa statistic was
used to assess agreement of final staging for each sequence between each reader
and PET-CT, and between the two reporting radiologists. Agreement for nodal and
extra-nodal staging for each sequence between each reader and PET-CT was
derived using Cohen’s kappa test and sensitivity, specificity, positive
predictive value (PPV) and negative predictive value (NPV) was calculated for
each sequence.
Results
Kappa agreement between each reader and
PET-CT and between two readers is tabulated in figure 2. There were 7, 6, 2 and
5 patients with Ann-Arbor stage 1, 2, 3 and 4, respectively. For staging, DWI+T1-IP
and T2-TSE showed the highest (k=0.71) and lowest kappa agreement (k=0.44) between
the two readers. For reader 1, DWI+T1-IP and T1 post-C showed the highest and
lowest agreement compared to PET-CT staging (k=0.65 and 0.58, respectively). For
reader 2 substantial agreement observed for both post-C T1 and T2-TSE (k=0.79
for both), with moderate agreement for DWI+T1-IP (k=0.57). Cohen’s kappa
statistic for nodal and extra-nodal staging between each reader and PET-CT is
summarised in Figure 3. The highest agreement for nodal staging for both
readers was achieved using T2-TSE (k= 0.88 and 0.88, for reader 1 and 2, respectively).
Controversially, the same sequence showed fair agreement for extra-nodal staging
for reader 1 (k= 0.29). Kappa agreement for extra-nodal assessment for reader 2
was comparable on all sequences (k=0.56-0.65). On T2-TSE, over-staging and
under-staging due to discrepancies in the assessment of skeletal metastasis
occurred in 15% and 10% of cases for reader 1 and 10% and 5% for reader 2 (figure 4). The
sensitivity, specificity, PPV and NPV for nodal and extra-nodal staging are
summarised in figure 5. T2-TSE showed the highest sensitivity for nodal assessment
for both readers (88.9% and 94.6%, for reader 1 and 2, respectively), but low
sensitivity for extra-nodal evaluation (44.4% and 66.7% for readers 1 and 2,
respectively). DWI+T1-IP showed the lowest sensitivity for extra-nodal
assessment for both readers (44.4%), but higher sensitivity for nodal evaluation
(78.1% and 80.6% for readers 1 and 2, respectively). Post-C T1 showed the
highest sensitivity for extra-nodal assessment (70.0% and 66.7% for readers 1
and 2, respectively), with sensitivity of 73.7% and 81.1% for nodal assessment for
readers 1 and 2, respectively.
Discussion and Conclusion
In our cohort, 3.0T WB-MR imaging showed a
comparable diagnostic performance to PET-CT for nodal staging on T2-TSE only for
both readers. However, our results demonstrate lower sensitivity for depicting
extra-nodal site involvements on all sequences, specifically T2-TSE. As
previously reported [4] anatomical imaging alone could provide a nearly
excellent overall accuracy for identifying involved nodal sites. Furthermore,
in line with previous publications [5], we found a moderate agreement for
depicting extra-nodal site involvement in our cohort using any of the sequences.
Our initial result supports adoption of a combined MRI protocol consisting of a
morphological sequence (i.e. T2-TSE) with post-contrast imaging that could provide
a higher overall accuracy for both nodal and extra-nodal staging using WB-MRI.
Acknowledgements
No acknowledgement found.References
[1]
Stéphane V, Samuel B, Vincent D et al. Comparison of PET-CT and magnetic
resonance diffusion weighted imaging with body suppression (DWIBS) for initial
staging of malignant lymphomas. European
Journal of Radiology, 2013;82(11):2011–2017.
[2]
] Gu J, Chan T, Zhang J et al. Whole-body diffusion-weighted imaging: The added value to whole-body MRI at
initial diagnosis of lymphoma. Am J
Roentgenol. 2011;197(3):W384-91.
[3]
Kwee T, Vermoolen M, Akkerman E et al. Whole-body MRI, including
diffusion-weighted imaging, for staging lymphoma: Comparison with CT in a
prospective multicenter study. Journal
of Magnetic Resonance Imaging, 2014;40(1): 26–36.
[4]
Punwani S, Taylor SA, Bainbridge A et al. Paediatric and adolescent
lymphoma: comparison of whole-body STIR half-Fourier RARE MR imaging with an
enhanced PET/CT reference for initial staging. Radiology. 2010;255(1):182-190.
[5] van Ufford HM, Kwee TC, Beek FJ et al.Newly
diagnosed lymphoma: initial results with whole-body T1-weighted, STIR, and
diffusion-weighted MRI compared with 18F-FDG PET/CT. Am J Roentgenol. 2011;196(3):662-669.