Salgues Emile, Jeganathan Thibaut, Schick Ulrike, Nguyen Truong An, Tissot Valentin, Fournier Georges, Valéri Antoine, Bourbonne Vincent
Radiology Department, University Hospital, Brest, France.
Radiation Oncology Department, University Hospital, Boulevard Tanguy Prigent 29200, Brest, France.
Radiol Med. 2024 Dec;129(12):1890-1897. doi: 10.1007/s11547-024-01920-w. Epub 2024 Nov 8.
Prostate cancer ranks as the second most common cancer in men worldwide. Dose escalation to the tumor and/or the prostate improves biochemical recurrence-free survival. However, interobserver variability in lesion contouring poses a significant limitation to such therapeutic approaches. Therefore, a study of factors influencing this variability is necessary.
Three independent readers delineated the index prostate lesion (DIL) using T2w and ADC sequences for each patient. Clinical data were retrospectively collected for all participants. Logistic regression analysis was employed to examine the correlation between clinical features and a mean DICE coefficient > 0.7. Features exhibiting a p value < 0.05 on univariate analysis were subjected to multivariate analysis.
The study comprised 68 patients, with a median DICE coefficient of 0.69 (95% CI 0.65-0.71), wherein 42.6% (29/68) attained a mean DICE > 0.7. Univariate analysis identified the PI-QUAL score, maximum diameter of DIL, and mean DIL volume as significant (p < 0.05) predictors. In multivariate analysis, only the PI-QUAL score (p = 0.008) remained statistically associated with a DICE coefficient > 0.7.
The PI-QUAL score emerges as the primary predictive factor for minimizing inter-reader variability in intraprostatic dominant lesion segmentation. These findings underscore the importance of considering PI-QUAL scores when devising focal treatment plans. Adoption of a multi-reader approach involving diverse medical specialists (radiologists, radiotherapists, urologists) is advocated, particularly for MRIs with low PI-QUAL scores.
Radiotherapy is a major treatment for patients with localized prostate cancer. Dose escalation to the tumor leads to improved cancer control. Precise delineation of the dominant intraprostatic lesion (DIL) remains a limitation to focal treatments. Features influencing inter-reader variability were never evaluated. In this study, we identified that the PI-QUAL score was the sole predictor of the inter-reader delineation variability of the DIL.
前列腺癌是全球男性中第二常见的癌症。增加肿瘤和/或前列腺的剂量可提高无生化复发生存率。然而,观察者之间在病变轮廓勾画方面的差异对这种治疗方法构成了重大限制。因此,有必要研究影响这种差异的因素。
三位独立的阅片者使用T2w和ADC序列为每位患者勾勒出前列腺索引病变(DIL)。回顾性收集所有参与者的临床数据。采用逻辑回归分析来检验临床特征与平均DICE系数>0.7之间的相关性。在单因素分析中p值<0.05的特征进行多因素分析。
该研究包括68例患者,DICE系数中位数为0.69(95%CI 0.65 - 0.71),其中42.6%(29/68)的平均DICE>0.7。单因素分析确定PI - QUAL评分、DIL最大直径和平均DIL体积为显著(p<0.05)预测因素。在多因素分析中,只有PI - QUAL评分(p = 0.008)与DICE系数>0.7仍存在统计学关联。
PI - QUAL评分成为使前列腺内主要病变分割中阅片者间差异最小化的主要预测因素。这些发现强调了在制定局部治疗计划时考虑PI - QUAL评分的重要性。提倡采用涉及不同医学专家(放射科医生、放疗科医生、泌尿科医生)的多阅片者方法,特别是对于PI - QUAL评分低的MRI。
放射治疗是局限性前列腺癌患者的主要治疗方法。增加肿瘤剂量可改善癌症控制。精确勾勒前列腺内主要病变(DIL)仍然是局部治疗的一个限制。从未评估过影响阅片者间差异的特征。在本研究中,我们确定PI - QUAL评分是DIL阅片者间勾画差异的唯一预测因素。