Ziyou Wang1, Chong Wang2, Haini Zhang1, Jianwei Zeng2, Zhongxiao Liu2, Wenbei Xu1, Shenman Qiu2, Yanchun Zhang3, Hao Wang3, Peng Wu4, Yankai Meng2, and Kai Xu2
1Xuzhou medical university, Xuzhou,Jiangsu Province, China, 2The affilliated hospital of Xuzhou Medical University, Xuzhou,Jiangsu Province, China, 3Suining Country People's hospital affiliated to Xuzhou Medical University, Xuzhou,Jiangsu Province, China, 4Philips Healthcare, Shanghai Province, China
Synopsis
Keywords: Cancer, Diffusion/other diffusion imaging techniques, diagnosis confidence
We aimed to evaluate
the added value of reduced field-of-view (rFOV) IRIS-DWI
sequence for T2WI sequence in evaluating T staging of rectal cancer. ROC
analysis showed the diagnosis performance based on T2WI + rFOV IRIS-DWI imaging
was superior to single T2WI sequence. The AUC, sensitivity and specificity were
0.928, 93.3%, 91.7% and 0.658, 73.3%, 58.3% for two diagnosis methods
respectively. The result showed significant difference between two methods
with P = 0.002. rFOV
IRIS-DWI combined T2WI imaging could provide higher diagnosis confidence and
higher diagnosis accuracy for rectal cancer T staging.
Introduction
Oblique axial
high-resolution T2WI was the recommended sequence for rectal cancer T staging,
according to the guidelines1-3. However, the accuracy of T staging based on
conventional T2WI sequence may be influenced by radiologist experience,
inflammatory fibrous response, imaging quality, etc4-6. The image reconstruction using
image-space sampling function (IRIS) diffusion-weighted imaging (DWI) sequence
was a novel technology for high-resolution DWI. Previous study showed that the IRIS-DWI sequence may improve the imaging
quality in the female pelvic cavity7. So, we attempted to evaluate the added value of
reduced field-of-view (rFOV) IRIS-DWI sequence for T2WI sequence in
evaluating T staging of rectal cancer.Methods
All patients who
underwent rectal MRI examinations in our institution between June 2022 and November
2022 were retrospectively enrolled. rFOV IRIS-DWI and oblique axial high-resolution
T2WI images were acquired using a 3.0T MR scanner (Ingenia
Elition, Philips, Best, the Netherlands) (Table 1). The
images were transferred to the Philips IntelliSpace Portal workstation
(version V10.1) for evaluation. All patients were evaluated in two rounds by
two different methods. First, one senior radiologist (Y.K.M.) with more than 7 years
of experience in rectal cancer MRI evaluated the T staging based on oblique
axial T2WI high-resolution images and recorded the diagnosis confidence. Second,
the same radiologist (Y.K.M.) reevaluated the T staging based on rFOV
IRIS-DWI and T2WI high-resolution images after one-week interval.
And the diagnosis confidence was also recorded. The radiologist was blind to
the detailed pathologic T staging. MedCalc statistical software (version 20.116,
MedCalc Software Ltd) was used for data analysis. The accuracy of two diagnosis
methods between oblique axial high-resolution T2WI and T2WI + rFov IRIS were
compared by paired c-test. Paired
sample t-test was used to compare the
diagnosis confidence between the two diagnosis methods. ROC curve was used to
evaluate the diagnostic performance for pT3 staging. P < 0.05 indicated
the difference was statistically significant.Results
Twenty-seven patients with rectal
cancer were enrolled in this retrospective study. The average age of all patients
was 66.7±6.9 years, and there were 15 (56%)
males and 12 (45%) females (Table 2). The diagnosis
accuracy for pT1-pT2 and pT3 was 58.3% and 73.3% according to oblique axial high-resolution
T2WI weighted imaging, respectively. Five patients (41.7%) with pT1-pT2 staging
were evaluated as mrT3 and four patients (26.7%) with pT3 staging were
evaluated as mrT1-T2 (Table 3). According to the oblique axial high-resolution
T2WI weighted and rFOV IRIS-DWI imaging, 11 patients (91.7%) were accurately diagnosed
in all 12 pT1-T2 staging patients, and 14 patients (93.3%) were accurately diagnosed
in all 15 pT3 staging patients. The difference was statistically significant
with P value less than 0.0001 (Table 3). Based on T2WI + rFOV
IRIS-DWI imaging showed higher diagnosis confidence, and the diagnosis
confidence between two diagnosis methods were 2.37 and 2.9 in all patients respectively
(P<0.001) (Table 4). For
pT2 staging subgroup patients, the diagnosis confidence based on T2WI + rFOV
IRIS-DWI imaging also showed higher confidence than single T2WI imaging (2.8
vs. 2.1, P = 0.01). And, for pT3 staging subgroup patients, the P
value was 0.009 for two diagnosis methods (2.93 vs. 2.53, respectively) (Table
4). ROC analysis showed the diagnosis performance based on T2WI + rFOV
IRIS-DWI imaging was superior to single T2WI sequence. The AUC, sensitivity and
specificity were 0.928, 93.3%, 91.7% and 0.658, 73.3%, 58.3% for two diagnosis
methods respectively. The result showed significant difference between
two methods with P = 0.002 (Table
5, Figure 3).Discussion
In this study, rFOV IRIS-DWI
sequence significantly improved the diagnosis performance for T staging of
rectal cancer patients. Compared with conventional single-shot EPI (ssEPI) DWI
sequence, IRIS-DWI sequence used multiple excitations and two-dimensional
navigation echo pulse technology. The technology can detect the phase changes
introduced by intestinal motion between different multiple excited K-space
subsets. Previous studies showed that IRIS-DWI may improve the image quality of
the female pelvis7. And improved image quality could
also be observed for the rectum. The rFOV IRIS-DWI may help us evaluate the
relation between the tumor and normal tissue of the intestinal. So, rFOV
IRIS-DWI significantly improved the diagnosis performance in rectal cancer T
staging.Conclusion
rFOV IRIS-DWI combined T2WI imaging could
provide higher diagnosis confidence and higher diagnosis accuracy for rectal
cancer T staging.Fund programs
Jiangsu Medical Association Roentgen
Imaging Research Fund (No.SYH-3201150-0013); Jiangsu Traditional Chinese
Medicine Science and Technology Development Program (MS2021100); Key Research
and Development Program of Xuzhou Science and Technology Bureau (KC20159); Aged
Health Research Project of Jiangsu Provincial Health Commission (LKM2022018)Acknowledgements
No acknowledgement found.References
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