Bjarte Almås, Lars Anders Rokne Reisæter, Carl Erik Markhus, Karin Margrethe Hjelle, Astrid Børretzen, Christian Beisland
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The radiologists were blinded for patient history, final histopathology and the readings of the other radiologist. The radiological variables were analysed regarding their abilities to predict muscle-invasive disease (MID, T2–T4) and tumour grade at final pathology after radical surgery. The predictive abilities were assessed using chi-square tests, Student's <i>t</i>-test and calculating the area under the curve in a receiver operating characteristic (ROC) curve. Correlation between the two radiologists was quantified calculating the intra-class correlation coefficient. <i>P</i>-values <0.05 were considered statistically significant.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Mean age was 72 years, 20 had high-grade tumour, and 13 patients had MID. The ADC values at the dwMRI were significantly lower among patients with MID compared to patients with non-muscle-invasive disease (930 vs 1189, <i>p</i> = <0.001). The area under the ROC curve (AUC) in an ROC curve to predict MID was 0.88 (CI 0.77–0.99, <i>p</i> = <0.001). The ADC values were significantly lower among patients with high-grade tumours compared to low-grade tumours (1005 vs 1210, <i>p</i> = 0.002). The correlation of the ADC measurements between the two radiologists was of 0.93 (CI 0.85–0.96, <i>p</i> < 0.001).</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>Tumour ADC at the MRI emerges as a potential biomarker for aggressive disease. The results are promising but should be validated in a larger, multicentre study.</p>\n </section>\n </div>","PeriodicalId":72420,"journal":{"name":"BJUI compass","volume":"5 5","pages":"476-482"},"PeriodicalIF":1.6000,"publicationDate":"2024-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/bco2.337","citationCount":"0","resultStr":"{\"title\":\"A preoperative magnetic resonance imaging can aid in staging and treatment choice for upper tract urothelial carcinoma\",\"authors\":\"Bjarte Almås, Lars Anders Rokne Reisæter, Carl Erik Markhus, Karin Margrethe Hjelle, Astrid Børretzen, Christian Beisland\",\"doi\":\"10.1002/bco2.337\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Objectives</h3>\\n \\n <p>The aim was to investigate the predictive abilities of a preoperative diffusion-weighted MRI (dwMRI) among patients with surgically treated upper tract urothelial carcinoma (UTUC).</p>\\n </section>\\n \\n <section>\\n \\n <h3> Materials and methods</h3>\\n \\n <p>Written consent was obtained from all participants in this prospective and ethically approved study. Thirty-five UTUC patients treated with radical surgery were examined with a preoperative dwMRI and prospectively included during 2017–2022. Two radiologists examined the CT scans and dwMRIs for radiological stage, and the apparent diffusion coefficient (ADC) in the tumours at the dwMRI was registered. The radiologists were blinded for patient history, final histopathology and the readings of the other radiologist. The radiological variables were analysed regarding their abilities to predict muscle-invasive disease (MID, T2–T4) and tumour grade at final pathology after radical surgery. The predictive abilities were assessed using chi-square tests, Student's <i>t</i>-test and calculating the area under the curve in a receiver operating characteristic (ROC) curve. 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引用次数: 0
摘要
该研究旨在探讨术前弥散加权磁共振成像(dwMRI)对接受手术治疗的上尿路上皮癌(UTUC)患者的预测能力。35名接受根治性手术治疗的UTUC患者在术前接受了dwMRI检查,并在2017-2022年间进行了前瞻性纳入。两名放射科医生检查了CT扫描和dwMRI的放射分期,并登记了dwMRI中肿瘤的表观弥散系数(ADC)。放射科医生对患者病史、最终组织病理学和另一名放射科医生的读数均为盲法。分析了放射学变量预测肌肉浸润性疾病(MID,T2-T4)和根治术后最终病理学检查肿瘤分级的能力。预测能力通过卡方检验、学生 t 检验和计算接收器操作特征曲线(ROC)的曲线下面积进行评估。两名放射医师之间的相关性通过计算类内相关系数进行量化。平均年龄为 72 岁,20 人患有高级别肿瘤,13 人患有 MID。与非肌层浸润性疾病患者相比,MID 患者的 dwMRI ADC 值明显较低(930 vs 1189,P = <0.001)。预测 MID 的 ROC 曲线下面积 (AUC) 为 0.88 (CI 0.77-0.99, p = <0.001)。高级别肿瘤患者的 ADC 值明显低于低级别肿瘤患者(1005 vs 1210,p = 0.002)。两位放射科医生的 ADC 测量值相关性为 0.93(CI 0.85-0.96,p < 0.001)。这些结果很有希望,但还应在更大规模的多中心研究中加以验证。
A preoperative magnetic resonance imaging can aid in staging and treatment choice for upper tract urothelial carcinoma
Objectives
The aim was to investigate the predictive abilities of a preoperative diffusion-weighted MRI (dwMRI) among patients with surgically treated upper tract urothelial carcinoma (UTUC).
Materials and methods
Written consent was obtained from all participants in this prospective and ethically approved study. Thirty-five UTUC patients treated with radical surgery were examined with a preoperative dwMRI and prospectively included during 2017–2022. Two radiologists examined the CT scans and dwMRIs for radiological stage, and the apparent diffusion coefficient (ADC) in the tumours at the dwMRI was registered. The radiologists were blinded for patient history, final histopathology and the readings of the other radiologist. The radiological variables were analysed regarding their abilities to predict muscle-invasive disease (MID, T2–T4) and tumour grade at final pathology after radical surgery. The predictive abilities were assessed using chi-square tests, Student's t-test and calculating the area under the curve in a receiver operating characteristic (ROC) curve. Correlation between the two radiologists was quantified calculating the intra-class correlation coefficient. P-values <0.05 were considered statistically significant.
Results
Mean age was 72 years, 20 had high-grade tumour, and 13 patients had MID. The ADC values at the dwMRI were significantly lower among patients with MID compared to patients with non-muscle-invasive disease (930 vs 1189, p = <0.001). The area under the ROC curve (AUC) in an ROC curve to predict MID was 0.88 (CI 0.77–0.99, p = <0.001). The ADC values were significantly lower among patients with high-grade tumours compared to low-grade tumours (1005 vs 1210, p = 0.002). The correlation of the ADC measurements between the two radiologists was of 0.93 (CI 0.85–0.96, p < 0.001).
Conclusion
Tumour ADC at the MRI emerges as a potential biomarker for aggressive disease. The results are promising but should be validated in a larger, multicentre study.