Esposito Francesco, Noviello Adele, Moles Nicola, Coppola Bottazzi Enrico, Baiamonte Mario, Macaione Ina, Ferbo Umberto, Lepore Maria, Miro Antonio, Crafa Francesco
Oncological and General Surgery Unit, St. Giuseppe Moscati Hospital of National Relevance and High Specialty, Avellino, Italy.
General and Emergency Surgery Unit, Civico Benfratelli Di Cristina Hospital, Palermo, Italy.
Ann Coloproctol. 2019 Aug;35(4):174-180. doi: 10.3393/ac.2018.07.21.1. Epub 2019 Aug 31.
Analysis of the sentinel lymph node (SLN) in colorectal cancer (CRC) patients was proposed for more accurate staging and tailored lymphadenectomy. The aim of this study was to assess the ability to predict lymph node (LN) involvement through analysis of the SLN with a one-step nucleic acid (OSNA) technique in combination with peritumoral injection of indocyanine green (ICG) and near-infrared (NIR) lymphangiography in CRC patients.
A total of 34 patients were enrolled. Overall, 51 LNs were analyzed with OSNA. LNs of 17 patients (50%) were examined simultaneously with hematoxylin and eosin (H&E) and OSNA.
SLN analysis of 17 patients examined with H&E and OSNA revealed that OSNA had a higher sensitivity (1 vs. 0.55), higher negative predictive value (1 vs. 0.66) and higher accuracy (100% vs. 76.4%) in predicting LN involvement. Overall, OSNA showed a sensitivity of 0.69, specificity of 1, accuracy of 88.2%, and stage migration of 8.8%. Compared to those who were OSNA (-), OSNA (+) patients had a greater number of LN metastases (4.8 vs. 0.16, P = 0.04), higher G3 rate (44.4% vs. 4%, P = 0.01), more advanced stage of disease (stage III: 77.8% vs. 16%; P = 0.00) and were more rapidly subjected to adjuvant chemotherapy (39.1 days vs. 50.2 days, P = 0.01).
SLN analysis with OSNA in combination with ICG-NIR lymphangiography is feasible and can detect LN involvement in CRC patients. Furthermore, it allows for more accurate staging reducing the delay between surgery and adjuvant chemotherapy.
对结直肠癌(CRC)患者的前哨淋巴结(SLN)进行分析,以实现更准确的分期和个体化淋巴结清扫。本研究的目的是评估通过一步核酸(OSNA)技术结合肿瘤周围注射吲哚菁绿(ICG)和近红外(NIR)淋巴管造影分析SLN来预测结直肠癌患者淋巴结(LN)受累的能力。
共纳入34例患者。总体而言,对51个淋巴结进行了OSNA分析。17例患者(50%)的淋巴结同时进行苏木精和伊红(H&E)染色及OSNA检测。
对17例同时进行H&E染色和OSNA检测的患者进行SLN分析发现,在预测LN受累方面,OSNA具有更高的敏感性(1比0.55)、更高的阴性预测值(1比0.66)和更高的准确性(100%比76.4%)。总体而言,OSNA的敏感性为0.69,特异性为1,准确性为88.2%,分期迁移率为8.8%。与OSNA(-)患者相比,OSNA(+)患者的LN转移数量更多(4.8比0.16,P = 0.04),G3级比例更高(44.4%比4%,P = 0.01),疾病分期更晚(III期:77.8%比16%;P = 0.00),且辅助化疗开始得更快(39.1天比50.2天,P = 0.01)。
OSNA联合ICG-NIR淋巴管造影进行SLN分析是可行的,能够检测结直肠癌患者的LN受累情况。此外,它有助于更准确地分期,减少手术与辅助化疗之间的延迟。