The feasibility of a radial turbo-spin-echo T2 mapping for preoperative prediction of the histological grade and lymphovascular space invasion of cervical squamous cell carcinoma

Li, Shujian; Zhang, Zanxia; Jie, Liu; Zhang, Feifei; Yang, Meng; Lü, Huifang; Zhang, Yong; Han, Fei; Cheng, Jingliang; Zhu, Jinxia

doi:10.1016/j.ejrad.2021.109684

Cited by 11 publications

(11 citation statements)

References 34 publications

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“…Cervical cancer is derived from immature cervical cells that experience abnormal proliferation and poor differentiation [ 29 ]. The T2 value of cervical cancer was 99.2 ± 4.1 ms at 1.5 T and 90.6 ± 6.2 ms at 3.0 T, which was consistent with results reported by Li et al [ 30 ].…”

Section: Discussionsupporting

confidence: 92%

Study of T2 mapping in quantifying and discriminating uterine lesions under different magnetic field strengths: 1.5 T vs. 3.0 T

Zhu

Wang

et al. 2023

BMC Med Imaging

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Background MRI is the best imaging tool for the evaluation of uterine tumors, but conventional MRI diagnosis results rely on radiologists and contrast agents (if needed). As a new objective, reproducible and contrast-agent free quantification technique, T2 mapping has been applied to a number of diseases, but studies on the evaluation of uterine lesions and the influence of magnetic field strength are few. Therefore, the aim of this study was to systematically investigate and compare the performance of T2 mapping as a nonenhanced imaging tool in discriminating common uterine lesions between 1.5 T and 3.0 T MRI systems. Methods A total of 50 healthy subjects and 126 patients with suspected uterine lesions were enrolled in our study, and routine uterine MRI sequences with additional T2 mapping sequences were performed. T2 maps were calculated by monoexponential fitting using a custom code in MATLAB. T2 values of normal uterine structures in the healthy group and lesions (benign: adenomyosis, myoma, endometrial polyps; malignant: cervical cancer, endometrial carcinoma) in the patient group were collected. The differences in T2 values between 1.5 T MRI and 3.0 T MRI in any normal structure or lesion were compared. The comparison of T2 values between benign and malignant lesions was also performed under each magnetic field strength, and the diagnostic efficacies of the T2 value obtained through receiver operating characteristic (ROC) analysis were compared between 1.5 T and 3.0 T. Results The mean T2 value of any normal uterine structure or uterine lesion under 3.0 T MRI was significantly lower than that under 1.5 T MRI (p < 0.05). There were significant differences in T2 values between each lesion subgroup under both 1.5 T and 3.0 T MRI. Moreover, the T2 values of benign lesions (71.1 ± 22.0 ms at 1.5 T and 63.4 ± 19.1 ms at 3.0 T) were also significantly lower than those of malignant lesions (101.1 ± 4.5 ms at 1.5 T and 93.5 ± 5.1 ms at 3.0 T) under both field strengths. In the aspect of differentiating benign from malignant lesions, the area under the curve of the T2 value under 3.0 T (0.94) was significantly higher than that under 1.5 T MRI (0.90) (p = 0.02). Conclusion T2 mapping can be a potential tool for quantifying common uterine lesions, and it has better performance in distinguishing benign from malignant lesions under 3.0 T MRI.

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Section: Discussionsupporting

confidence: 92%

Study of T2 mapping in quantifying and discriminating uterine lesions under different magnetic field strengths: 1.5 T vs. 3.0 T

Zhu

Wang

et al. 2023

BMC Med Imaging

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“…The ICC of the native T1 values (ICC, 0.923; 95% CI, 0.874–0.966), ADC values (ICC, 0.956; 95% CI, 0.916–0.974), and maximum tumor size (ICC, 0.992; 95% CI, 0.988–0.995) showed significant interobserver agreement ( 33 ). Lymph node status was significantly different between the recurrence and non-recurrence subgroup in the surgical group ( P <0.05), while the FIGO stage, histology type, tumor differentiation, and maximum tumor size were not ( P >0.05) ( Table 2 ).…”

Section: Resultsmentioning

confidence: 99%

Risk factors for the recurrence of cervical cancer using MR-based T1 mapping: A pilot study

Liu

Cao

et al. 2023

Front. Oncol.

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ObjectivesThis study aimed to identify risk factors for recurrence in patients with cervical cancer (CC) through quantitative T1 mapping.MethodsA cohort of 107 patients histopathologically diagnosed with CC at our institution between May 2018 and April 2021 was categorized into surgical and non-surgical groups. Patients in each group were further divided into recurrence and non-recurrence subgroups depending on whether they showed recurrence or metastasis within 3 years of treatment. The longitudinal relaxation time (native T1) and apparent diffusion coefficient (ADC) value of the tumor were calculated. The differences between native T1 and ADC values of the recurrence and non-recurrence subgroups were analyzed, and receiver operating characteristic (ROC) curves were drawn for parameters with statistical differences. Logistic regression was performed for analysis of significant factors affecting CC recurrence. Recurrence-free survival rates were estimated by Kaplan–Meier analysis and compared using the log-rank test.ResultsThirteen and 10 patients in the surgical and non-surgical groups, respectively, showed recurrence after treatment. There were significant differences in native T1 values between the recurrence and non-recurrence subgroups in the surgical and non-surgical groups (P<0.05); however, there was no difference in ADC values (P>0.05). The areas under the ROC curve of native T1 values for discriminating recurrence of CC after surgical and non-surgical treatment were 0.742 and 0.780, respectively. Logistic regression analysis indicated that native T1 values were risk factors for tumor recurrence in the surgical and non-surgical groups (P=0.004 and 0.040, respectively). Compared with cut-offs, recurrence-free survival curves of patients with higher native T1 values of the two groups were significantly different from those with lower ones (P=0.000 and 0.016, respectively).ConclusionQuantitative T1 mapping could help identify CC patients with a high risk of recurrence, supplementing information on tumor prognosis other than clinicopathological features and providing the basis for individualized treatment and follow-up schemes.

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“…Subsequent studies in the field of body cancer have affirmed the effectiveness of T2 mapping in differentiating benign from malignant lesions across various tissues, including the prostate, breast, and parotid gland, among others. T2 mapping has also shown potential in predicting histopathological type, grade, and other attributes, in which lower T2 values often correlate with more aggressive histopathological features in renal, cervical, and rectal cancers [34][35][36]. Experimental tumor models have substantiated that T2 value is a more sensitive measure of tumor water content than ADC [37].…”

Section: Discussionmentioning

confidence: 99%

T1 and T2 mapping for identifying malignant lymph nodes in head and neck squamous cell carcinoma

Qu,

Pan,

et al. 2023

Cancer Imaging

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Background This study seeks to assess the utility of T1 and T2 mapping in distinguishing metastatic lymph nodes from reactive lymphadenopathy in patients with head and neck squamous cell carcinoma (HNSCC), using diffusion-weighted imaging (DWI) as a comparison. Methods Between July 2017 and November 2019, 46 HNSCC patients underwent neck MRI inclusive of T1 and T2 mapping and DWI. Quantitative measurements derived from preoperative T1 and T2 mapping and DWI of metastatic and non-metastatic lymph nodes were compared using independent samples t-test or Mann–Whitney U test. Receiver operating characteristic curves and the DeLong test were employed to determine the most effective diagnostic methodology. Results We examined a total of 122 lymph nodes, 45 (36.9%) of which were metastatic proven by pathology. Mean T2 values for metastatic lymph nodes were significantly lower than those for benign lymph nodes (p < 0.001). Conversely, metastatic lymph nodes exhibited significantly higher apparent diffusion coefficient (ADC) and standard deviation of T1 values (T1SD) (p < 0.001). T2 generated a significantly higher area under the curve (AUC) of 0.890 (0.826–0.954) compared to T1SD (0.711 [0.613–0.809]) and ADC (0.660 [0.562–0.758]) (p = 0.007 and p < 0.001). Combining T2, T1SD, ADC, and lymph node size achieved an AUC of 0.929 (0.875–0.983), which did not significantly enhance diagnostic performance over using T2 alone (p = 0.089). Conclusions The application of T1 and T2 mapping is feasible in differentiating metastatic from non-metastatic lymph nodes in HNSCC and can improve diagnostic efficacy compared to DWI.

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The feasibility of a radial turbo-spin-echo T2 mapping for preoperative prediction of the histological grade and lymphovascular space invasion of cervical squamous cell carcinoma

Cited by 11 publications

References 34 publications

Study of T2 mapping in quantifying and discriminating uterine lesions under different magnetic field strengths: 1.5 T vs. 3.0 T

Study of T2 mapping in quantifying and discriminating uterine lesions under different magnetic field strengths: 1.5 T vs. 3.0 T

Risk factors for the recurrence of cervical cancer using MR-based T1 mapping: A pilot study

T1 and T2 mapping for identifying malignant lymph nodes in head and neck squamous cell carcinoma

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