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首页> 外文期刊>BMC Urology >Five-point Likert scaling on MRI predicts clinically significant prostate carcinoma
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Five-point Likert scaling on MRI predicts clinically significant prostate carcinoma

机译:MRI的五点Likert缩放预测具有临床意义的前列腺癌

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Background To clarify the relationship between the probability of prostate cancer scaled using a 5-point Likert system and the biological characteristics of corresponding tumor foci. Methods The present study involved 44 patients undergoing 3.0-Tesla multiparametric MRI before laparoscopic radical prostatectomy. Tracing based on pathological and MRI findings was performed. The relationship between the probability of cancer scaled using the 5-point Likert system and the biological characteristics of corresponding tumor foci was evaluated. Results A total of 102 tumor foci were identified histologically from the 44 specimens. Of the 102 tumors, 55 were assigned a score based on MRI findings (score 1: n?=?3; score 2: n?=?3; score 3: n?=?16; score 4: n?=?11 score 5: n?=?22), while 47 were not pointed out on MRI. The tracing study revealed that the proportion of >0.5 cm 3 tumors increased according to the upgrade of Likert scores (score 1 or 2: 33 %; score 3: 68.8 %; score 4 or 5: 90.9 %, χ2 test, p?7 also increased from scale 2 to scale 5 (scale 2: 0 %; scale 3: 56.3 %; scale 4: 72.7 %; 5: 90.9 %, χ2 test, p?=?0.0001). On using score 3 or higher as the threshold of cancer detection on MRI, the detection rate markedly improved if the tumor volume exceeded 0.5 cm 3 (3 : 10.3 %; 0.2-0.5 cm 3 : 25 %; 0.5-1.0 cm 3 : 66.7 %; 1.0?3 : 92.1 %). Conclusions Each Likert scale favobably reflected the corresponding tumor’s volume and Gleason score. Our observations show that “score 3 or higher” could be a useful threshold to predict clinically significant carcinoma when considering treatment options.
机译:背景技术为了阐明使用5点Likert系统缩放前列腺癌的可能性与相应肿瘤灶的生物学特征之间的关系。方法本研究涉及44例在腹腔镜前列腺癌根治术前接受3.0-Tesla多参数MRI检查的患者。进行了基于病理和MRI检查的追踪。评估了使用5点Likert系统缩放癌症的可能性与相应肿瘤灶的生物学特征之间的关系。结果从44份标本中通过组织学共鉴定出102个肿瘤灶。在102个肿瘤中,有55个基于MRI的检查结果得到了评分(得分1:n == 3;得分2:n == 3;得分3:n == 16;得分4:n == 11得分5:n = 22),而MRI未指出47。追踪研究表明,随着李克特评分的提高(得分1或2:33%;得分3:68.8%;得分4或5:90.9%),> 0.5 cm 3 肿瘤的比例增加,χ 2 检验,p?7也从等级2上升到等级5(等级2:0%;等级3:56.3%;等级4:72.7%; 5:90.9%,χ 2 测试,p?=?0.0001)。如果使用3分或更高作为MRI的癌症检测阈值,则如果肿瘤体积超过0.5 cm 3 ,则检出率显着提高。 (3 :10.3%; 0.2-0.5 cm 3 :25%; 0.5-1.0 cm 3 :66.7%; 1.0?3 : 92.1%)。结论每个李克特量表均能较好地反映相应的肿瘤体积和格里森评分,我们的观察结果表明,在考虑治疗方案时,“得分3或更高”可能是预测具有临床意义的癌的有用阈值。

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