Literature DB >> 29752477

Intraoperatively measured tumor size and frozen section results should be considered jointly to predict the final pathology for lung adenocarcinoma.

Erjia Zhu1, Huikang Xie2, Chenyang Dai1, Liping Zhang2, Yan Huang2, Zhengwei Dong2, Junhong Guo2, Hang Su1, Yijiu Ren1, Pingfan Shi3, Ranran Fu3, Shuang Qin3, Chunyan Wu4, Chang Chen5.   

Abstract

Invasive adenocarcinoma intraoperatively misdiagnosed as adenocarcinoma in situ or minimally invasive adenocarcinoma is more likely to undergo potentially insufficient resection. The purpose of our study was to evaluate the diagnostic accuracy of frozen section. We retrospectively reviewed 1,111 lung adenocarcinomas from January to March 2016 to evaluate the diagnostic performance of frozen section. A derivation cohort consisting of 436 cases of adenocarcinoma in situ or minimally invasive adenocarcinoma diagnosed by frozen section in the same period were analyzed to find predictive factors for invasive adenocarcinoma as the final diagnosis. Validation cohorts (first: April to June 2016, second: January to March 2015) were included to confirm the results. The overall concordance rate between frozen section and final diagnosis was 92%. Most frozen section errors were underestimation. The sensitivity of frozen section diagnosis for minimally invasive adenocarcinoma (74%) was significantly lower than others. Intraoperatively measured tumor size was the only independent factor for invasive adenocarcinoma as the final diagnosis (<1 cm: 2%, reference; 1-1.4 cm: 15%, odds ratio, 5.678; > 1.5 cm: 18%, odds ratio, 5.878; P = 0.001) in the derivation cohort, and was confirmed by validation cohorts. Fifty-nine misdiagnosed invasive adenocarcinomas in the three cohorts consisted of 54 lepidic predominant type, 1 papillary and 4 acinar predominant type. There were no positive N1, N2 node, pleural, lymphatic and vascular invasion cases found. Thirty-seven (37/59, 63%) cases of misdiagnosis were attributed to sampling error, which was the main reason. Our study suggests that adenocarcinoma in situ or minimally invasive adenocarcinoma ≥1 cm by frozen section were more likely to be invasive adenocarcinoma because of sampling error. Frozen section diagnosis of adenocarcinoma in situ or minimally invasive adenocarcinoma should be considered cautiously for tumors ≥1 cm to avoid potentially insufficient resection.

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Year:  2018        PMID: 29752477     DOI: 10.1038/s41379-018-0056-0

Source DB:  PubMed          Journal:  Mod Pathol        ISSN: 0893-3952            Impact factor:   7.842


  11 in total

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Authors:  Jieke Liu; Xi Yang; Yong Li; Hao Xu; Changjiu He; Haomiao Qing; Jing Ren; Peng Zhou
Journal:  Quant Imaging Med Surg       Date:  2022-05

2.  A random forest algorithm predicting model combining intraoperative frozen section analysis and clinical features guides surgical strategy for peripheral solitary pulmonary nodules.

Authors:  Liqiang Qian; Yinjie Zhou; Wanqin Zeng; Xiaoke Chen; Zhengping Ding; Yujia Shen; Yifeng Qian; Davide Tosi; Mario Silva; Yuchen Han; Xiaolong Fu
Journal:  Transl Lung Cancer Res       Date:  2022-06

3.  Procedure-specific prognostic impact of micropapillary subtype may guide resection strategy in small-sized lung adenocarcinomas: a multicenter study.

Authors:  Hang Su; Huikang Xie; Chenyang Dai; Shengnan Zhao; Dong Xie; Yunlang She; Yijiu Ren; Lei Zhang; Ziwen Fan; Donglai Chen; Feng Jiang; Jinshi Liu; Quan Zhu; Jie Yao; Honggang Ke; Lei Zhang; Chunyan Wu; Gening Jiang; Chang Chen
Journal:  Ther Adv Med Oncol       Date:  2020-07-03       Impact factor: 8.168

4.  The combined nomogram based on the CT features may be used as a complementary method of frozen sections to predict invasive lung adenocarcinoma manifesting as ground-glass nodules.

Authors:  Yangyang Sun; Bin Wang; Ke Bi; Xue Meng; Lei Zhang; Xiwen Sun
Journal:  J Thorac Dis       Date:  2020-05       Impact factor: 2.895

5.  Predictors of upstage and treatment strategies for stage IA lung cancers after sublobar resection for adenocarcinoma in situ and minimally invasive adenocarcinoma.

Authors:  Hang Su; Chang Gu; Yunlang She; Long Xu; Ping Yang; Huikang Xie; Shengnan Zhao; Chunyan Wu; Dong Xie; Chang Chen
Journal:  Transl Lung Cancer Res       Date:  2021-01

6.  Integrative analysis of exosomal microRNA-149-5p in lung adenocarcinoma.

Authors:  Wen Tian; He Yang; Baosen Zhou
Journal:  Aging (Albany NY)       Date:  2021-02-26       Impact factor: 5.682

7.  Lepidic component identifies a subgroup of lung adenocarcinoma with a distinctive prognosis: a multicenter propensity-matched analysis.

Authors:  Erjia Zhu; Chenyang Dai; Huikang Xie; Hang Su; Xuefei Hu; Ming Li; Junqiang Fan; Jinshi Liu; Quan Zhu; Lei Zhang; Honggang Ke; Chang Chen
Journal:  Ther Adv Med Oncol       Date:  2020-12-23       Impact factor: 8.168

8.  Dielectric property measurements for the rapid differentiation of thoracic lymph nodes using XGBoost in patients with non-small cell lung cancer: a self-control clinical trial.

Authors:  Di Lu; Jinxing Peng; Zhongju Wang; Ying Sun; Jianxue Zhai; Zhizhi Wang; Zhiming Chen; Yuji Matsumoto; Long Wang; Sherman Xuegang Xin; Kaican Cai
Journal:  Transl Lung Cancer Res       Date:  2022-03

9.  An effective inflation treatment for frozen section diagnosis of small-sized lesions of the lung.

Authors:  Zhenzhen Xiang; Jie Zhang; Jikai Zhao; Jinchen Shao; Lanxiang Zhao; Ye Zhang; Gang Qin; Jie Xing; Yuchen Han; Keke Yu
Journal:  J Thorac Dis       Date:  2020-04       Impact factor: 2.895

10.  Comparison of Comprehensive Morphological and Radiomics Features of Subsolid Pulmonary Nodules to Distinguish Minimally Invasive Adenocarcinomas and Invasive Adenocarcinomas in CT Scan.

Authors:  Lu Qiu; Xiuping Zhang; Haixia Mao; Xiangming Fang; Wei Ding; Lun Zhao; Hongwei Chen
Journal:  Front Oncol       Date:  2022-01-04       Impact factor: 6.244

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