Fang Wang1, Yong-Sheng Xiang1, Peng Wu2, Ai-Jun Shen1, and Pei-Jun Wang1
1Tongji Hospital, School of Medicine, Tongji University, Shanghai, China, 2Philips Healthcare, Shanghai, China
Synopsis
Keywords: Urogenital, Bladder
Amide proton transfer (APT) imaging is an emerging chemical exchange saturation transfer (CEST)-based MRI technique that is sensitive to mobile proteins and peptides in tissue and has drawn considerable attention in the field of cellular and molecular imaging.In the present work, our result demonstrates that APT imaging can predict tumor grade and muscular invasion in bladder cancer, the diagnostic performance for evaluating muscular invasion is better than that of diffusion-weighted imaging (DWI) and adding APT imaging to DWI significantly improved the diagnostic accuracy for evaluating muscular invasion versus DWI alone, thus opening new research avenues in this field.
Introduction
In the past years, studies have demonstrated essential roles of magnetic resonance imaging in bladder cancer (BCa) diagnosis, grade and stage. However, these morphological and functional multiparametric MRI sequences cannot reflect the pathophysiology of the tissue at the molecular level, and given the limitations of current clinical approaches, new molecular MRI techniques are needed for bladder cancer. Amide proton transfer (APT) imaging, based on chemical exchange saturation transfer (CEST), is an emerging molecular MRI method to detect mobile proteins and peptides in tissue. Many studies have investigated APT imaging and found that it has potential clinical application value for differentiating between benign and malignant lesions, grading tumors, and evaluating the efficacy of chemotherapy [1-12]. However, the role of APT imaging to grade and assess muscular invasion of bladder cancer is still a mistery; therefore, we aimed to explore whether APT imaging could differentiate low-grade from high-grade tumors and evaluate the muscular invasion of BCa and to compare its ability to assess the grade and muscular invasion of BCa with that of DWI.Method
Forty-eight
patients diagnosed with BCa confirmed by histopathological findings who
underwent magnetic resonance (MR) imaging, including APT imaging and DWI (b=0,
1000 s/mm2), were enrolled in this study. MTRasym
(asymmetric magnetization transfer ratio) was defined as the magnetization
transfer asymmetry at 3.5 ppm. MTRasym and apparent diffusion
coefficients (ADCs) were compared between the low- and high-grade groups and
between non-muscle-invasive bladder cancer (NMIBC) and muscle-invasive bladder
cancer (MIBC) in terms of the areas under the receiver operating characteristic
curves (AUCs).Results
MTRasym values
were significantly higher in patients with high-grade bladder tumors than in
those with low-grade tumors (P=0.000) and in MIBC than in NMIBC (P=0.000). The
AUCs of MTRasym were significantly larger than those of ADC for
differentiating MIBC from NMIBC (P=0.016), while the comparison of the AUCs for
differentiating low-grade from high-grade tumors was ADC >MTRasym
(P=0.75). Adding APT imaging to DWI
significantly improved the diagnostic accuracy for differentiating MIBC from
NMIBC versus DWI alone (P=0.013).Discussion
In this study, we found that MTRasym
values were significantly higher in patients with high-grade bladder tumors
than in those with low-grade bladder tumors and in those with MIBC than in those with NMIBC. MIBC is heterogeneous with atypical cells, which
are characterized by endothelial proliferation, vascular hyperplasia,
hemorrhage and necrosis. However, NMIBC consists of more homogeneous clusters
of well-differentiated cells [13]. Malignant tumors present obvious cell and
structural atypia, including an increase in the nucleocytoplasmic ratio,
megakaryocytes, ribosomes and malformed nuclei [7]. These results support the hypothesis that the
active metabolism of tumors produces large amounts of proteins and validate
that APT imaging can be a tumor proliferative index. Our study indicated that APT imaging could perform better than DWI in evaluating muscular BCa. APT imaging is potentially sensitive to the
microstructural molecular changes that occur prior to macroscopic changes in gross morphology without
contrast. Microcirculation perfusion, motion distortion, susceptibility and different b values
might affect ADC values. Moreover, the addition of APT imaging to DWI
significantly improved the diagnostic accuracy for differentiating MIBC from
NMIBC versus DWI alone. This result indicates that DWI combined with APT imaging could be an efficient method to
predict muscular invasion compared to DWI alone. APT imaging could provide
additional information for the tumor microenvironment compared to DWI. The microvasculature of BCa cells might increase
due to the increasing
density of the tumor, which leads to an increase in additional immature capillary networks and
greater blood perfusion and may thus increase the APT signal intensity. Similarly, the active
metabolism of tumors leads to denser density, which limits the diffusion of water molecular.
Therefore, the combination of functional MRI and molecular MRI can be an
effective and noninvasive method to predict the muscular invasion of BCa.Conclusion
In conclusion, APT imaging alone can be
helpful for differentiating low-grade from
high-grade tumors and evaluating the muscular invasion of BCa, and adding
APT imaging to conventional DWI could significantly improve the diagnostic
performance for evaluating the muscular invasion of
BCa. Acknowledgements
This
work was supported by the National Natural Science Foundation of China [grant
numbers 81901733, 81974274]; Excellent Discipline Reserve Talent Program of
Tongji Hospital Affiliated to Tongji University [grant number HBRC2109]; Key
discipline construction project of the three-year action plan of Shanghai
public health system [grant number GWV-10.1-XK9]; Shanghai "Rising Stars
of Medical Talent" Youth Development Program-Youth Medical Talents-Medical
Imaging Practitioner Program [grant number SHWRS(2020)_087]; The Fundamental
Research Funds for the Central Universities (grant number 22120210568) .References
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