Ciardo Delia, Argenone Angela, Boboc Genoveva Ionela, Cucciarelli Francesca, De Rose Fiorenza, De Santis Maria Carmen, Huscher Alessandra, Ippolito Edy, La Porta Maria Rosa, Marino Lorenza, Meaglia Ilaria, Palumbo Isabella, Rossi Francesca, Alpi Paolo, Bignardi Mario, Bonanni Alessio, Cante Domenico, Ceschia Tino, Fabbietti Letizia, Lupattelli Marco, Mantero Elisa Donatella, Monaco Alessia, Porcu Patrizia, Ravo Vincenzo, Silipigni Sonia, Tozzi Angelo, Umina Vincenza, Zerini Dario, Bordonaro Luigi, Capezzali Giorgia, Clerici Elena, Colangione Sarah Pia, Dispinzieri Michela, Dognini Jessica, Donadoni Laura, Falivene Sara, Fozza Alessandra, Grilli Barbara, Guarnaccia Roberta, Iannacone Eva, Lancellotta Valentina, Prisco Agnese, Ricotti Rosalinda, Orecchia Roberto, Jereczek-Fossa Barbara Alicja, Leonardi Maria Cristina
a Division of Radiation Oncology , Istituto Europeo di Oncologia , Milano , Italy.
b Division of Radiotherapy , Istituto Nazionale per lo Studio e la Cura dei Tumori, Fondazione G. Pascale IRCCS , Napoli , Italy.
Acta Oncol. 2017 Aug;56(8):1081-1088. doi: 10.1080/0284186X.2017.1325004. Epub 2017 May 23.
To quantify the variability between radiation oncologists (ROs) when outlining axillary nodes in breast cancer.
For each participating center, three ROs with different levels of expertise, i.e., junior (J), senior (S) and expert (E), contoured axillary nodal levels (L1, L2, L3 and L4) on the CT images of three different patients (P) of an increasing degree of anatomical complexity (from P1 to P2 to P3), according to contouring guidelines. Consensus contours were generated using the simultaneous truth and performance level estimation (STAPLE) method.
Fifteen centers and 42 ROs participated. Overall, the median Dice similarity coefficient was 0.66. Statistically significant differences were observed according to the level of expertise (better agreement for J and E, worse for S); the axillary level (better agreement for L1 and L4, worse for L3); the patient (better agreement for P1, worse for P3). Statistically significant differences in contouring were found in 18% of the inter-center comparison. Less than a half of the centers could claim to have a good agreement between the internal ROs.
The overall intra-institute and inter-institute agreement was moderate. Central lymph-node levels were the most critical and variability increased as the complexity of the patient's anatomy increased. These findings might have an effect on the interpretation of results from multicenter and even mono-institute studies.
量化放射肿瘤学家在勾勒乳腺癌腋窝淋巴结时的变异性。
对于每个参与中心,三名具有不同专业水平的放射肿瘤学家,即初级(J)、高级(S)和专家(E),根据轮廓勾画指南,在解剖复杂性逐渐增加(从P1到P2再到P3)的三名不同患者(P)的CT图像上勾勒腋窝淋巴结水平(L1、L2、L3和L4)。使用同时真相与性能水平估计(STAPLE)方法生成共识轮廓。
15个中心和42名放射肿瘤学家参与。总体而言,中位骰子相似系数为0.66。根据专业水平观察到统计学上的显著差异(J和E的一致性较好,S的较差);腋窝水平(L1和L4的一致性较好,L3的较差);患者(P1的一致性较好,P3的较差)。在18%的中心间比较中发现轮廓勾画存在统计学上的显著差异。不到一半的中心可以声称内部放射肿瘤学家之间有良好的一致性。
机构内部和机构间的总体一致性中等。中央淋巴结水平最为关键,并且随着患者解剖结构复杂性的增加变异性也增加。这些发现可能会对多中心甚至单机构研究结果的解释产生影响。