Accuracy of the Narrow-Band Imaging International Colorectal Endoscopic Classification System in Identification of Deep Invasion in Colorectal Polyps

被引:86
|
作者
Puig, Ignasi [1 ,2 ]
Lopez-Ceron, Maria [3 ]
Arnau, Anna [4 ]
Rosinol, Oria [5 ]
Cuatrecasas, Miriam [6 ,7 ]
Herreros-de-Tejada, Alberto [8 ]
Ferrandez, Angel [9 ,10 ]
Serra-Burriel, Miquel [11 ]
Nogales, Oscar [12 ]
Vida, Francesc [1 ]
de Castro, Luisa [13 ]
Lopez-Vicente, Jorge [14 ]
Vega, Pablo [15 ]
Alvarez-Gonzalez, Marco A. [16 ]
Gonzalez-Santiago, Jesus [17 ]
Hernandez-Conde, Marta [8 ]
Diez-Redondo, Pilar [18 ]
Rivero-Sanchez, Liseth [3 ]
Gimeno-Garcia, Antonio Z. [19 ]
Burgos, Aurora [20 ]
Javier Garcia-Alonso, Francisco [21 ]
Bustamante-Balen, Marco [22 ]
Martinez-Bauer, Eva [23 ]
Penas, Beatriz [24 ]
Pellise, Maria [3 ,10 ]
机构
[1] Althaia Xarxa Assistencial Univ Manresa, Digest Dis Dept, Barcelona, Spain
[2] Univ Int Catalunya, Barcelona, Spain
[3] Univ Barcelona, Gastroenterol Dept, Inst Malalties Digest & Metab, Hosp Clin,Inst Invest Biomed August Pi i Sunyer, Barcelona, Spain
[4] Althaia Xarxa Assistencial Univ Manresa, Clin Res Unit, Barcelona, Spain
[5] Althaia Xarxa Assistencial Univ Manresa, Dept Pathol, Barcelona, Spain
[6] Univ Barcelona, Hosp Clin, Dept Pathol, Barcelona, Spain
[7] Inst Invest Biomed August Pi i Sunyer, Biobanc Clin, Banc Tumors, Barcelona, Spain
[8] Hosp Univ Puerta de Hierro, Res Inst Segovia Arana, Dept Gastroenterol, Madrid, Spain
[9] Hosp Clin Univ Lozano Blesa, Digest Dis Dept, Zaragoza, Spain
[10] Biomed Res Networking Ctr Hepat & Digest Dis, Ctr Invest Biomed Red Enfermedades Hepat & Digest, Madrid, Spain
[11] Univ Pompeu Fabra, Ctr Res Hlth & Econ, Barcelona, Spain
[12] Hosp Gen Univ Gregorio Maranon, Digest Dis Dept, Madrid, Spain
[13] Complexo Hosp Univ Vigo, Digest Dis Dept, Vigo, Spain
[14] Hosp Univ Mostoles, Digest Dis Dept, Madrid, Spain
[15] Complexo Hosp Univ Ourense, Digest Dis Dept, Orense, Spain
[16] Hosp Mar, Digest Dis Dept, Barcelona, Spain
[17] Complejo Asistencial Univ Salamanca, Inst Invest Biomed Salamanca, Digest Dis Dept, Salamanca, Spain
[18] Hosp Univ Rio Hortega, Digest Dis Dept, Valladolid, Spain
[19] Hosp Univ Canarias, Digest Dis Dept, Tenerife, Spain
[20] Hosp Univ La Paz, Digest Dis Dept, Madrid, Spain
[21] Hosp Univ Fuenlabrada, Digest Dis Dept, Madrid, Spain
[22] Hosp Univ & Politecn La Fe, Digest Dis Dept, Valencia, Spain
[23] Corp Sanitaria Parc Tauli, Digest Dis Dept, Barecelon, Spain
[24] Hosp Univ Ramon y Cajal, Digest Dis Dept, Madrid, Spain
关键词
Colon Cancer; Early Detection; Prognostic Factor; CRC; LYMPH-NODE METASTASIS; RISK-FACTORS; SUBMUCOSAL INVASION; TERM OUTCOMES; CANCER; NEOPLASIA; CARCINOMA; DIAGNOSIS; RESECTION; SOCIETY;
D O I
10.1053/j.gastro.2018.10.004
中图分类号
R57 [消化系及腹部疾病];
学科分类号
摘要
BACKGROUND & AIMS: T1 colorectal polyps with at least 1 risk factor for metastasis to lymph node should be treated surgically and are considered endoscopically unresectable. Optical analysis, based on the Narrow-Band Imaging International Colorectal Endoscopic (NICE) classification system, is used to identify neoplasias with invasion of the submucosa that require endoscopic treatment. We assessed the accuracy of the NICE classification, along with other morphologic characteristics, in identifying invasive polyps that are endoscopically unresectable (have at least 1 risk factor for metastasis to lymph node). METHODS: We performed a multicenter, prospective study of data collected by 58 endoscopists, from 1634 consecutive patients (examining 2123 lesions) at 17 university and community hospitals in Spain from July 2014 through June 2016. All consecutive lesions >10 mm assessed with narrow-band imaging were included. The primary end point was the accuracy of the NICE classification for identifying lesions with deep invasion, using findings from histology analysis as the reference standard. Conditional inference trees were fitted for the analysis of diagnostic accuracy. RESULTS: Of the 2123 lesions analyzed, 89 (4.2%) had features of deep invasion and 91 (4.3%) were endoscopically unresectable. The NICE classification system identified lesions with deep invasion with 58.4% sensitivity (95% CI, 47.5-68.8), 96.4% specificity (95% CI, 95.5-97.2), a positive-predictive value of 41.6% (95% CI, 32.9-50.8), and a negative-predictive value of 98.1% (95% CI, 97.5-98.7). A conditional inference tree that included all variables found the NICE classification to most accurately identify lesions with deep invasion (P<.001). However, pedunculated morphology (P<.007), ulceration (P 1/4 .026), depressed areas (P<.001), or nodular mixed type (P<.001) affected accuracy of identification. Results were comparable for identifying lesions that were endoscopically unresectable. CONCLUSIONS: In an analysis of 2123 colon lesions >10 mm, we found the NICE classification and morphologic features identify those with deep lesions with >96% specificity-even in non-expert hands and without magnification. ClinicalTrials. gov number NCT02328066.
引用
收藏
页码:75 / 87
页数:13
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