Amide Proton Transfer-weighted MRI in Predicting Histologic Grade of                     Bladder Cancer

Wang, Huanjun J.; Cai, Qian; Huang, Yiping; Li, Meiqin Q.; Wen, Zhihua; Lin, Yingyu; Ouyang, Longyuan; Qian, Long; Guo, Yan

doi:10.1148/radiol.211804

Cited by 24 publications

(18 citation statements)

References 29 publications

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“…Hence, higher mobile protein and peptide concentrations of tumor in LNM group might be the main reason for higher APTw in CC. Furthermore, Meng et al [ 30 , 31 ] demonstrated that APTw value of high grade CC was significantly higher than that of low grade CC, and a similar finding was also reported in bladder cancer [ 23 ]. However, a significant difference was not observed between the low grade and high grade CC in this study.…”

Section: Discussionmentioning

confidence: 54%

“…With the ability to detect the exchange of the amide protons in protein or polypeptide with hydrogen protons in water [ 17 ], APTw imaging has been successfully applied to characterize rectal cancers [ 15 ], bladder tumors [ 23 ], endometrial carcinomas [ 17 ], and cervical cancers [ 30 ]. In this study, higher APTw values were found in CC with higher FIGO stage and deeper tumor invasion, further indicating the possible feasibility of APTw in characterizing cervical cancers.…”

Section: Discussionmentioning

confidence: 99%

“…With the ability to obtain biochemical information, APTw enables the exploration of tissue microenvironment noninvasively, and has gained increasing interest as a valuable adjunct to conventional MRI [ 18 ]. Previous studies demonstrated that APTw MRI has been successfully applied to brain tumor [ 19 ], breast cancer [ 20 ], prostate cancer [ 21 ], rectal cancer [ 22 ], bladder cancer [ 23 ], etc.…”

Section: Introductionmentioning

confidence: 99%

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Amide Proton Transfer-Weighted Imaging Combined with ZOOMit Diffusion Kurtosis Imaging in Predicting Lymph Node Metastasis of Cervical Cancer

et al. 2023

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Background: The aim of this study is to investigate the feasibility of amide proton transfer-weighted (APTw) imaging combined with ZOOMit diffusion kurtosis imaging (DKI) in predicting lymph node metastasis (LNM) in cervical cancer (CC). Materials and Methods: Sixty-one participants with pathologically confirmed CC were included in this retrospective study. The APTw MRI and ZOOMit diffusion-weighted imaging (DWI) were acquired. The mean values of APTw and DKI parameters including mean kurtosis (MK) and mean diffusivity (MD) of the primary tumors were calculated. The parameters were compared between the LNM and non-LNM groups using the Student’s t-test or Mann–Whitney U test. Binary logistic regression analysis was performed to determine the association between the LNM status and the risk factors. The diagnostic performance of these quantitative parameters and their combinations for predicting the LNM was assessed with receiver operating characteristic (ROC) curve analysis. Results: Patients were divided into the LNM group (n = 17) and the non-LNM group (n = 44). The LNM group presented significantly higher APTw (3.7 ± 1.1% vs. 2.4 ± 1.0%, p < 0.001), MK (1.065 ± 0.185 vs. 0.909 ± 0.189, p = 0.005) and lower MD (0.989 ± 0.195 × 10−3 mm2/s vs. 1.193 ± 0.337 ×10−3 mm2/s, p = 0.035) than the non-LNM group. APTw was an independent predictor (OR = 3.115, p = 0.039) for evaluating the lymph node status through multivariate analysis. The area under the curve (AUC) of APTw (0.807) was higher than those of MK (AUC, 0.715) and MD (AUC, 0.675) for discriminating LNM from non-LNM, but the differences were not significant (all p > 0.05). Moreover, the combination of APTw, MK, and MD yielded the highest AUC (0.864), with the corresponding sensitivity of 76.5% and specificity of 88.6%. Conclusion: APTw and ZOOMit DKI parameters may serve as potential noninvasive biomarkers in predicting LNM of CC.

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Section: Discussionmentioning

confidence: 54%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Amide Proton Transfer-Weighted Imaging Combined with ZOOMit Diffusion Kurtosis Imaging in Predicting Lymph Node Metastasis of Cervical Cancer

et al. 2023

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“…26 Proton imaging could more accurately predict the grade of cancer, providing help for accurate diagnosis. 27 Our study had some limitations. First, concerning pathological T staging, we only analyzed the patients who had undergone RC.…”

Section: Discussionmentioning

confidence: 90%

Impact of the COVID-19 pandemic on bladder cancer patients: a multicenter real-world study

Wei,

Yang,

Zhu

et al. 2023

J Int Med Res

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Objective Hospital management and medical treatment changed during the coronavirus disease 2019 (COVID-19) pandemic. This study investigated the impact of the COVID-19 pandemic on patients with bladder cancer. Methods In this multicenter retrospective study, we collected information from the electronic medical records of outpatients who underwent cystoscopy and inpatients with confirmed bladder cancer in three hospitals in Nanjing (two province-level and one county-level hospitals) in 2019 and 2020. Patients’ home addresses, treatment methods, length of stay, and pathology were compared between the periods. Results In total, 4048 outpatients and 1242 inpatients were included. The average number of cystoscopies decreased significantly during the lockdown. In province-level hospitals, the number of cystoscopies increased gradually as the pandemic was brought under control but remained lower than that in 2019, whereas the number grew in 2020 in county-level hospitals. The rates of recurrence and radical cystectomy were higher in 2020 than in 2019. No significant difference in the pathological grade was observed. More patients who underwent radical cystectomy were diagnosed with muscle-invasive bladder cancer during the 2020 lockdown. Conclusion The pandemic severely affected patients with bladder cancer, mainly in their choice of institution and treatment.

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“…Amide proton transfer weighted (APTw) is a relatively novel chemical exchange saturation transfer MRI based on magnetization transfer. APTw can detect endogenous mobile proteins and peptides within the cells (12,13). Previous data suggested that, due to over-expressed mobile protein and peptide concentrations, APTw can assess the pathological grade of malignant tissue.…”

Section: Introductionmentioning

confidence: 99%

The value of multimodal functional magnetic resonance imaging in differentiating p53abn from p53wt endometrial carcinoma

Shifeng,

Yue,

Wen

et al. 2023

Acta Radiol

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Background Endometrial carcinoma (EC) is the sixth most common cancer in women. P53 gene expression in patients with endometrial cancer can predict the efficacy and prognosis of patients with neoadjuvant therapy. Purpose To explore the value of multimodal magnetic resonance imaging (MRI) in differentiating p53 abnormal (p53abn) from p53 wild-type (p53wt) EC. Material and Methods Data from 47 EC patients, including 14 p53abn cases and 33 p53wt cases, were retrospectively analyzed. The preoperative MRI sequences included amide proton transfer weighted (APTw) imaging, T2 mapping, mDIXON-Quant imaging and diffusion-weighted imaging (DWI). After post-processing, APT, T2, transverse relaxation rate (R2*), fat fraction (FF) and apparent diffusion coefficient (ADC) maps were obtained. The APT, T2, R2*, FF and ADC values for lesions of the two groups of cases were measured by two observers who were blind to the pathological data. Results The APT value and R2* value in the p53abn group were higher than those in the p53wt group, while the ADC value was lower (all P < 0.05). There was no statistically significant difference in T2 value and FF value between the two groups (all P > 0.05). The area under curve of APT, R2*, ADC and combined APT + R2*+ADC values for identification of p53abn and p53wt EC were 0.739, 0.689, 0.718 and 0.820, respectively (all P > 0.05). Conclusion APTw, mDIXON-Quant and DWI techniques can be usedfor quantitative identification of p53abn and p53wt EC. The multimodal MRI provides a new way for preoperative quantitative evaluation of EC molecular typing, which has certain clinical application value.

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Amide Proton Transfer-weighted MRI in Predicting Histologic Grade of Bladder Cancer

Cited by 24 publications

References 29 publications

Amide Proton Transfer-Weighted Imaging Combined with ZOOMit Diffusion Kurtosis Imaging in Predicting Lymph Node Metastasis of Cervical Cancer

Amide Proton Transfer-Weighted Imaging Combined with ZOOMit Diffusion Kurtosis Imaging in Predicting Lymph Node Metastasis of Cervical Cancer

Impact of the COVID-19 pandemic on bladder cancer patients: a multicenter real-world study

The value of multimodal functional magnetic resonance imaging in differentiating p53abn from p53wt endometrial carcinoma

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