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Diagnostic performance of narrow-band imaging international colorectal endoscopic and Japanese narrow-band imaging expert team classification systems for colorectal cancer and precancerous lesions 被引量:9
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作者 Yun Wang Wen-Kun Li +2 位作者 Ya-Dan Wang Kui-Liang Liu Jing Wu 《World Journal of Gastrointestinal Oncology》 SCIE 2021年第1期58-68,共11页
BACKGROUND In recent years,two new narrow-band imaging(NBI)classifications have been proposed:The NBI international colorectal endoscopic(NICE)classification and Japanese NBI expert team(JNET)classification.Most valid... BACKGROUND In recent years,two new narrow-band imaging(NBI)classifications have been proposed:The NBI international colorectal endoscopic(NICE)classification and Japanese NBI expert team(JNET)classification.Most validation studies of the two new NBI classifications were conducted in classification setting units by experienced endoscopists,and the application of use in different centers among endoscopists with different endoscopy skills remains unknown.AIM To evaluate clinical application and possible problems of NICE and JNET classification for the differential diagnosis of colorectal cancer and precancerous lesions.METHODS Six endoscopists with varying levels of experience participated in this study.Eighty-seven consecutive patients with a total of 125 lesions were photographed during non-magnifying conventional white-light colonoscopy,non-magnifying NBI,and magnifying NBI.The three groups of endoscopic pictures of each lesion were evaluated by the six endoscopists in randomized order using the NICE and JENT classifications separately.Then we calculated the six endoscopists’sensitivity,specificity,accuracy,positive predictive value,and negative predictive value for each category of the two classifications.RESULTS The sensitivity,specificity,and accuracy of JNET classification type 1 and 3 were similar to NICE classification type 1 and 3 in both the highly experienced endoscopist(HEE)and less-experienced endoscopist(LEE)groups.The specificity of JNET classification type 1 and 3 and NICE classification type 3 in both the HEE and LEE groups was>95%,and the overall interobserver agreement was good in both groups.The sensitivity of NICE classification type 3 lesions for diagnosis of SM-d carcinoma in the HEE group was significantly superior to that in the LEE group(91.7%vs 83.3%;P=0.042).The sensitivity of JNET classification type 2B lesions for the diagnosis of high-grade dysplasia or superficial submucosal invasive carcinoma in the HEE and LEE groups was 53.8%and 51.3%,respectively.Compared with other types of JNET classification,the diagnostic ability of type 2B was the weakest.CONCLUSION The treatment strategy of the two classification type 1 and 3 lesions can be based on the results of endoscopic examination.JNET type 2B lesions need further examination. 展开更多
关键词 narrow-band imaging international colorectal endoscopic japanese narrowband imaging expert team Colorectal neoplasms Precancerous lesions Colorectal endoscopy narrow-band imaging
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Effective use of the Japan Narrow Band Imaging Expert Team classification based on diagnostic performance and confidence level 被引量:6
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作者 Daizen Hirata Hiroshi Kashida +4 位作者 Mineo Iwatate Tomomasa Tochio Akira Teramoto Yasushi Sano Masatoshi Kudo 《World Journal of Clinical Cases》 SCIE 2019年第18期2658-2665,共8页
Five years have passed since the Japan Narrow Band Imaging Expert Team (JNET) classification was proposed in 2014. However, the diagnostic performance of this classification has not yet been established. We conducted ... Five years have passed since the Japan Narrow Band Imaging Expert Team (JNET) classification was proposed in 2014. However, the diagnostic performance of this classification has not yet been established. We conducted a retrospective study and a systematic search of Medical Literature Analysis and Retrieval System On-Line. There were three retrospective single center studies about the diagnostic performance of this classification. In order to clarify this issue, we reviewed our study and three previous studies. This review revealed the diagnostic performance in regards to three important differentiations.(1) Neoplasia from non-neoplasia;(2) malignant neoplasia from benign neoplasia;and (3) deep submucosal invasive cancer (D-SMC) from other neoplasia. The sensitivity in differentiating neoplasia from non-neoplasia was 98.1%-99.8%. The specificity in differentiating malignant neoplasia from benign neoplasia was 84.7%-98.2% and the specificity in the differentiation D-SMC from other neoplasia was 99.8%-100.0%. This classification would enable endoscopists to identify almost all neoplasia, to appropriately determine whether to perform en bloc resection or not, and to avoid unnecessary surgery. This article is the first review about the diagnostic performance of the JNET classification. Previous reports about the diagnostic performance have all been retrospective single center studies. A large-scale prospective multicenter evaluation study is awaited for the validation. 展开更多
关键词 japan Narrow Band imaging expert team classification Magnifying endoscopy narrow-band imaging Validation Diagnostic performance Colonoscopy Colorectal neoplasms
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Diagnostic performance of endoscopic classifications for neoplastic lesions in patients with ulcerative colitis:A retrospective casecontrol study 被引量:1
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作者 Yuichi Kida Takeshi Yamamura +11 位作者 Keiko Maeda Tsunaki Sawada Eri Ishikawa Yasuyuki Mizutani Naomi Kakushima Kazuhiro Furukawa Takuya Ishikawa Eizaburo Ohno Hiroki Kawashima Masanao Nakamura Masatoshi Ishigami Mitsuhiro Fujishiro 《World Journal of Gastroenterology》 SCIE CAS 2022年第10期1055-1066,共12页
BACKGROUND It is unclear whether the Japan Narrow-Band Imaging Expert Team(JNET)classification and pit pattern classification are applicable for diagnosing neoplastic lesions in patients with ulcerative colitis(UC).AI... BACKGROUND It is unclear whether the Japan Narrow-Band Imaging Expert Team(JNET)classification and pit pattern classification are applicable for diagnosing neoplastic lesions in patients with ulcerative colitis(UC).AIM To clarify the diagnostic performance of these classifications for neoplastic lesions in patients with UC.METHODS This study was conducted as a single-center,retrospective case-control study.Twenty-one lesions in 19 patients with UC-associated neoplasms(UCAN)and 23 lesions in 22 UC patients with sporadic neoplasms(SN),evaluated by magnifying image-enhanced endoscopy,were retrospectively and separately assessed by six endoscopists(three experts,three non-experts),using the JNET and pit pattern classifications.The results were compared with the pathological diagnoses to evaluate the diagnostic performance.Inter-and intra-observer agreements were calculated.RESULTS In this study,JNET type 2 A and pit pattern typeⅢ/Ⅳwere used as indicators of low-grade dysplasia,JNET type 2 B and pit pattern typeⅥlow irregularity were used as indicators of highgrade dysplasia to shallow submucosal invasive carcinoma,JNET type 3 and pit pattern typeⅥhigh irregularity/VN were used as indicators of deep submucosal invasive carcinoma.In the UCAN group,JNET type 2 A and pit pattern typeⅢ/Ⅳhad a low positive predictive value(PPV;50.0%and 40.0%,respectively);however,they had a high negative predictive value(NPV;94.7%and 100%,respectively).Conversely,in the SN group,JNET type 2 A and pit pattern typeⅢ/Ⅳhad a high PPV(100%for both)but a low NPV(63.6%and 77.8%,respectively).In both groups,JNET type 3 and pit pattern typeⅥ-high irregularity/VN showed high specificity.The interobserver agreement of JNET classification and pit pattern classification for UCAN among experts were 0.401 and 0.364,in the same manner for SN,0.666 and 0.597,respectively.The intra-observer agreements of JNET classification and pit pattern classification for UCAN among experts were 0.387,0.454,for SN,0.803 and 0.567,respectively.CONCLUSION The accuracy of endoscopic diagnosis using both classifications was lower for UCAN than for SN.Endoscopic diagnosis of UCAN tended to be underestimated compared with the pathological results. 展开更多
关键词 Diagnostic performance japan narrow-band imaging expert team classification Pit pattern classification Sporadic neoplasms Ulcerative colitis Ulcerative colitis-associated neoplasms
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Texture and color enhancement imaging in magnifying endoscopic evaluation of colorectal adenomas 被引量:3
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作者 Osamu Toyoshima Toshihiro Nishizawa +7 位作者 Shuntaro Yoshida Tomoharu Yamada Nariaki Odawara Tatsuya Matsuno Miho Obata Ken Kurokawa Chie Uekura Mitsuhiro Fujishiro 《World Journal of Gastrointestinal Endoscopy》 2022年第2期96-105,共10页
BACKGROUND Olympus Corporation has developed texture and color enhancement imaging(TXI)as a novel image-enhancing endoscopic technique.AIM To investigate the effectiveness of TXI in identifying colorectal adenomas usi... BACKGROUND Olympus Corporation has developed texture and color enhancement imaging(TXI)as a novel image-enhancing endoscopic technique.AIM To investigate the effectiveness of TXI in identifying colorectal adenomas using magnifying observation.METHODS Colorectal adenomas were observed by magnified endoscopy using white light imaging(WLI),TXI,narrow band imaging(NBI),and chromoendoscopy(CE).This study adopted mode 1 of TXI.Adenomas were confirmed by histological examination.TXI visibility was compared with the visibility of WLI,NBI,and CE for tumor margin,and vessel and surface patterns of the Japan NBI expert team(JNET)classification.Three expert endoscopists and three non-expert endoscopists evaluated the visibility scores,which were classified as 1,2,3,and 4.RESULTS Sixty-one consecutive adenomas were evaluated.The visibility score for tumor margin of TXI(3.47±0.79)was significantly higher than that of WLI(2.86±1.02,P<0.001),but lower than that of NBI(3.76±0.52,P<0.001),regardless of the endoscopist’s expertise.TXI(3.05±0.79)had a higher visibility score for the vessel pattern of JNET classification than WLI(2.17±0.90,P<0.001)and CE(2.47±0.87,P<0.001),but lower visibility score than NBI(3.79±0.47,P<0.001),regardless of the experience of endoscopists.For the visibility score for the surface pattern of JNET classification,TXI(2.89±0.85)was superior to WLI(1.95±0.79,P<0.01)and CE(2.75±0.90,P=0.002),but inferior to NBI(3.67±0.55,P<0.001).CONCLUSION TXI provided higher visibility than WLI,lower than NBI,and comparable to or higher than CE in the magnified observation of colorectal adenomas. 展开更多
关键词 Texture and color enhancement imaging ADENOMA Colonoscopy Narrow band imaging japan NBI expert team OLYMPUS
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JNET 2B型结直肠早期肿瘤黏膜下层深度浸润的特征及临床意义 被引量:2
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作者 王佳 杜召召 +2 位作者 刘欢 聂姗 张明鑫 《现代肿瘤医学》 CAS 北大核心 2023年第8期1471-1475,共5页
目的:探讨结直肠早期肿瘤表面结构特征,期望能够找到预测JNET 2B型病灶黏膜下组织深层浸润的特点。方法:回顾性纳入在本院诊断为JNET 2B型结直肠早期肿瘤共47例。内镜特征包括分叶结构消失、表面存在深凹陷、呈现分层现象、紧实感、皱... 目的:探讨结直肠早期肿瘤表面结构特征,期望能够找到预测JNET 2B型病灶黏膜下组织深层浸润的特点。方法:回顾性纳入在本院诊断为JNET 2B型结直肠早期肿瘤共47例。内镜特征包括分叶结构消失、表面存在深凹陷、呈现分层现象、紧实感、皱襞集中、Vi重度不整或存在Vn结构或JNET 2B重度不整,并分析其与病灶浸润深度的关系。结果:分叶结构消失者黏膜层/黏膜下层浅层(M/SM-s)4例(13.3%),黏膜下层深层(SM-d)11例(64.7%),P=0.001;紧实感者M/SM-s 2例(6.7%),SM-d 11例(64.7%),P=0.001;Vi重度不整或存在Vn结构者M/SM-s 3例(10.0%),SM-d 13例(76.5%),P=0.001;JNET 2B重度不整者M/SM-s 3例(10.0%),SM-d 16例(94.1%),P=0.001;以上均有统计学意义。而表面存在深凹陷者、呈现分层现象者和皱襞集中者无统计学意义。结论:对于结直肠JNET 2B型早期肿瘤,当病灶表面具有分叶结构消失、紧实感、Vi重度不整或存在Vn结构,以及JNET 2B重度不整时,常提示病灶具有深层浸润,需推荐外科手术干预。 展开更多
关键词 JNET分型 结直肠早期肿瘤 深层浸润
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放大窄带成像内镜JNET分型在结直肠肿瘤中的临床应用
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作者 邱全兴 汤瑜 +1 位作者 胡学军 袁保 《临床医药实践》 2023年第12期896-899,共4页
目的:探讨放大窄带成像内镜日本窄带成像技术专家小组(JNET)分型在结直肠肿瘤诊断中的临床应用价值。方法:回顾性分析放大窄带成像内镜检查的106处结直肠肿瘤,并进行JNET分型,与内镜或外科手术标本病理诊断进行比较,评估JNET分型的准确... 目的:探讨放大窄带成像内镜日本窄带成像技术专家小组(JNET)分型在结直肠肿瘤诊断中的临床应用价值。方法:回顾性分析放大窄带成像内镜检查的106处结直肠肿瘤,并进行JNET分型,与内镜或外科手术标本病理诊断进行比较,评估JNET分型的准确性。结果:结肠肿瘤术后标本病理提示:非早癌病例70例,其中增生性息肉(包括锯齿状息肉)10例,低级别上皮内瘤变60例;早癌病例36例,其中高级别上皮内瘤变21例,黏膜下浅层癌7例,黏膜下深层癌8例。JNET各分型其准确性、特异性、敏感性、阳性预测值以及阴性预测值如下。1型:98.11%,98.96%,90.00%,90.00%,98.96%,2A型:80.19%,71.74%,86.67%,80.00%,80.49%;2B型:77.36%,84.62%,57.14%,57.14%,84.62%;3型:95.28%,100.00%,37.5%,100.00%,95.15%;JNET分型对结直肠病变早癌诊断的准确性、特异性、敏感性、阳性预测值及阴性预测值为:82.08%,90.00%,66.67%,77.42%,84.00%。结论:JNET分型能有效实时判断结直肠肿瘤性病变的良恶性程度,对部分诊断困难病变需结合放大染色内镜提高准确率。 展开更多
关键词 窄带成像内镜 日本窄带成像技术专家小组分型 结直肠肿瘤
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JNET Type 2B在结直肠肿瘤内镜诊断中的应用价值 被引量:2
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作者 刘明 谢佳宜 +8 位作者 谭川川 阮晓惠 王震 罗晓蓓 林建姣 项立 李爱民 韩泽龙 刘思德 《南方医科大学学报》 CAS CSCD 北大核心 2021年第6期942-946,共5页
目的探讨影响JNET 2B分型预测病变组织病理学类型准确性的因素。方法收集2018年7月~2021年4月南方医科大学南方医院行窄带光成像放大内镜检查诊断为JNET 2B型的261例结直肠病变资料,分析影响JNET 2B型诊断病变病理性质的因素,包括病灶... 目的探讨影响JNET 2B分型预测病变组织病理学类型准确性的因素。方法收集2018年7月~2021年4月南方医科大学南方医院行窄带光成像放大内镜检查诊断为JNET 2B型的261例结直肠病变资料,分析影响JNET 2B型诊断病变病理性质的因素,包括病灶形态、大小、位置及PP分型。结果纳入的261个病变包括低级别上皮内瘤变91例(34.9%),高级别上皮内瘤变132例(50.6%),黏膜下浅层浸润癌13例(5.0%),黏膜下深层浸润癌25例(9.6%)。JNET 2B病理预测符合率为55.6%(145/261)。病灶的形态学分类及大小与JNET 2B分型预测病变组织病理学类型准确性的差异有统计学意义(P<0.001),PP分型对JNET 2B预测病变组织病理学类型准确性的差异具有统计学意义(P<0.001)。结论结直肠病灶的形态学分类和病灶大小会对JNET 2B分型预测病变组织病理学类型准确性产生影响,联合JNET分型和PP分型能提高病变病理组织学预测的准确性。 展开更多
关键词 结直肠肿瘤 JNET 2B分型 窄带光成像放大内镜
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蓝光成像放大内镜下JNET分型对结直肠息肉样病变的诊断价值 被引量:3
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作者 廖志远 杨辉 张卓 《中国中西医结合消化杂志》 CAS 2021年第10期736-740,共5页
目的:评估蓝光成像放大内镜(ME-BLI)下JNET分型对结直肠息肉样病变诊断价值。方法:选择2020年5月—2021年4月接受结肠镜检查的141例患者共检出173处结直肠息肉样病变,行ME-BLI观察并留取清晰图像,基于JNET分型给出病理预测,以病理检查... 目的:评估蓝光成像放大内镜(ME-BLI)下JNET分型对结直肠息肉样病变诊断价值。方法:选择2020年5月—2021年4月接受结肠镜检查的141例患者共检出173处结直肠息肉样病变,行ME-BLI观察并留取清晰图像,基于JNET分型给出病理预测,以病理检查为金标准评估JNET分型诊断效能,根据医师的BLI内镜经验分为经验组和普通组,并比较不同经验内镜医师对JNET分型诊断效能的影响。结果:ME-BLI下JNET分型诊断结直肠息肉样病变与病理诊断一致性检验Kappa值为0.75(P<0.01),一致性较好;经验组与普通组1型诊断准确率分别为95.4%、91.3%(P=0.131);2A型诊断准确率分别为86.7%,81.5%(P=0.186);2B型诊断准确率分别为89.0%、87.9%(P=0.737);3型诊断准确率分别97.8%、98.8%(P=0.410)。经验组与普通组总体诊断准确率比较,差异无统计学意义(P=0.262)。结论:ME-BLI基于JNET分型对结直肠息肉样病变的病理诊断有较好的预测价值,医师经验不是影响JNET分型对结直肠息肉样病变诊断准确性的因素。 展开更多
关键词 结直肠息肉样病变 蓝光成像放大内镜 JNET分型
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超声内镜结合窄带放大内镜下JNET分型对结直肠肿瘤性病变浸润深度评估的价值 被引量:2
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作者 杨彬 田志颖 王丽华 《中国临床研究》 CAS 2022年第1期66-69,共4页
目的探讨日本窄带成像技术专家小组(JNET)分型联合超声内镜(EUS)在结直肠肿瘤性病变浸润深度判断中的临床应用价值。方法回顾性分析2019年10月至2020年10月衡水市人民医院内镜诊疗中心发现的86例结直肠息肉样病变患者的临床资料。所有... 目的探讨日本窄带成像技术专家小组(JNET)分型联合超声内镜(EUS)在结直肠肿瘤性病变浸润深度判断中的临床应用价值。方法回顾性分析2019年10月至2020年10月衡水市人民医院内镜诊疗中心发现的86例结直肠息肉样病变患者的临床资料。所有患者术前均按JNET分型对病变微血管分型,并用EUS评估其浸润深度;与内镜下黏膜切除术、黏膜下剥离术、外科手术所获组织病理结果加以对比;以病理结果为金标准,分析EUS联合JNET分型判定结肠肿瘤性病变浸润深度的可靠性,并与单用JNET分型评估进行对比,一致性分析采用Kappa检验。结果86例患者94个病灶,JNET分型1型与病理诊断增生性息肉/无蒂锯齿状息肉(SSP)的符合率为82.1%(23/28),2A型与病理诊断低级别上皮内瘤变(LGIN)的符合率84.1%(32/38),2B型与病理诊断高级别上皮肉瘤变(HGIN)/黏膜内癌(M)/黏膜下浅层浸润癌(SM-s)的符合率为65.2%(15/23),3型与病理诊断黏膜下深层浸润癌(SM-d)的符合率为61.1%(11/18)。以病理结果为准,EUS联合JNET分型判断病变浸润深度的准确度为97.06%(33/34);一致性检验结果提示,单独JNET分型与病理诊断结果一致性中等(Kappa值0.580,P<0.01),而EUS联合JNET分型与病理诊断结果一致性较高(Kappa值0.940,P<0.01)。结论JNET分型与病理诊断具有一定符合率,但部分亚型符合率仍较低,JNET分型与EUS联合在结直肠肿瘤性病变浸润深度判断中的准确度高于单用JNET分型。 展开更多
关键词 结直肠肿瘤性病变 窄带成像技术 超声内镜 日本窄带成像技术专家小组分型
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