Wei Wang1, Yunxi Li1, Mengchao Zhang 1, and Yueluan Jiang2
1Department of Radiology, China Japan Union Hospital, Changchun, China, 2MR Scientific Marketing, Siemens Healthineers, Beijing, China
Synopsis
This study explored
the feasibility of ECV based on T1 mapping evaluate early cervical cancer
pathological characters, such as deep stromal
invasion (DSI) and lymphovascular space invasion (LVSI). The ECV
in the group with exceeding deep 1/2 of stromal invasion was significantly higher
than that of the non-exceeding 1/2 group. DSI group was significantly higher than
that in the non-DSI group. Our research shows that ECV based on T1 mapping could represent an
emerging preoperative imaging biomarker for the classification of DSI of early
cervical cancer.
Introduction
Radical hysterectomy
(RH) combined with pelvic lymphadenectomy is the main treatment for early
cervical cancer [1]. Some pathological characters, such as deep stromal invasion (DSI)
and lymphovascular space
invasion (LVSI), are important prognostic factors in early cervical cancer [2]. Recent studies have found that for early
cervical cancer with "low-risk" (no LVSI, DSI < 10 mm),
laparoscopic radical hysterectomy (LRH) and RH have no
significant difference between 3-year disease-free survival and overall
survival, and LRH has the advantages of less trauma and quick recovery [1]. MRI is the main imaging
method for evaluation of preoperative cervical cancer. Preoperative non-invasive prediction of pathological variables
such as LVSI and DSI based on quantitative MR image information has important clinical
significance because it helps patients choose the optimal surgical method,
e.g., RH or LRH. Tumor extracellular matrix plays a key
role in tumor progression, invasion, and metastasis. Tumor extracellular matrix
fraction (ECV) has been recognized as an independent prognostic factor for
cervical cancer. MR-based T1 mapping is an advanced MR technology, which can be used to
quantitatively measure and characterize tissues, and it can also non-invasively
quantify ECV.
The main purpose of this research is to assess the
potential of native T1 mapping
and post-enhancement T1mapping, and ECV for the identification of DSI and LVSI.Methods
From December 2020 to June 2021, we consecutively enrolled 23 females (average age 52.93 ± 9.397 years) with early cervical cancer who underwent pelvic
MR scans at a 3T system (MAGNETOM Skyra, Siemens Healthcare, Erlangen, Germany) acquiring
T2WI, T1WI, native T1mapping, post-enhancement T1mapping before surgery. The sequence parameters
are shown in Table 1. To be more specifically, T1 mapping was obtained by a B1 inhomogeneity-corrected variable flip
angle (VFA) sequence, and 3D T1-weighted volume interpolated breath-hold
examination (VIBE) sequence with dual flip angles were used. Sagittal and axial T2WI-TSE images, sagittal and
axial T1WI-VIBE images after the injection of contrast agent are routinely
obtained. For each patient, the maximum cross-sectional area of lesion and arteries avoiding necrotic area on the same section were manually
drawn on each of T1 maps (pre-and 10 minutes after contrast agent administration)
as the region of interest (ROI) by visual inspection according to T2WI-TSE and enhanced T1WI-VIBE images. Calculate ECV fraction according to the following
formula: ECV%=(1- hematocrit)×[(1/T1lesion-post-1/T1lesion-pre)/(1/T1blood-post-1/T1blood-pre)]×100%. Postoperative
pathological indicators including LVSI and DSI were registered as 2 categorical
variables, among which the demarcation of DSI was based on whether the lesion
invaded exceeding deep 1/2 of stromal. Differences in ECV fraction were
compared between groups with LVSI and without LVSI using the rank sum test, and
the same method was also used between groups with different DSI.Results
There was no significant difference between LVSI group and n-LVSI group in ECV fractions (64.42% vs 62.40%, respectively, p=0.835). The ECV fractions in the group exceeding deep 1/2 of stromal invasion was significantly higher than that of
the non-exceeding 1/2 group was significantly higher than that of non-DSI group (77.08% vs 50.23%,
respectively, p=0.011). Two representative cases with different depths of stromal invasion are shown in Figure 1
and Figure 2.
Discussion and Conclusion
The use of imaging
methods to non-invasively assess the prognostic risk factors of early cervical
cancer has important clinical significance for the selection of surgical
methods and the improvement of patients’ living quality. Our research shows that T1 mapping with
ECV measurement could represent an emerging preoperative imaging biomarker for
the classification of deep stromal invasion of early cervical cancer.
Acknowledgements
No References
1. Zhiqiang Li, Chunlin
Chen, Ping Liu, et al. Comparison between laparoscopic and abdominal adical
hysterectomy for low-risk cervical cancer: a multicentre retrospective study.
Arch Gynecol Obstet. 2021.
2. Jun Zhu , Lijie Cao
, Hao Wen , et al. The clinical and prognostic implication of deep stromal
invasion in cervical cancer patients undergoing radical hysterectomy. J Cancer.
2020 ;11(24):7368-7377.
3. Xiangsheng Li , Ping
Wang , Dechang Li, et al. Intravoxel incoherent motion MR imaging of early
cervical carcinoma: correlation between imaging parameters and tumor-stroma
ratio. Eur Radiol. 2018 ;28(5):1875-1883.