Literature DB >> 24751107

Comparison between CT tumor size and pathological tumor size in frozen section examinations of lung adenocarcinoma.

Tetsuya Isaka1, Tomoyuki Yokose2, Hiroyuki Ito3, Naoko Imamura4, Masato Watanabe5, Kentaro Imai6, Teppei Nishii7, Tetsukan Woo8, Kouzo Yamada9, Haruhiko Nakayama10, Munetaka Masuda11.   

Abstract

OBJECTIVE: We examined the appropriate measurement for pathological tumor size by comparing radiological and pathological tumor size of resected lung adenocarcinoma in FSE.
MATERIALS AND METHODS: We reviewed records of 59 resected specimens of lung adenocarcinoma for FSE from January to December 2008. Specimens were well-inflated with saline by using an injector before cutting into segments. After selecting the tumor segment of maximal diameter, we compared three ways of measuring pathological tumor size by using paired t-test: (I) macroscopic tumor size (MTS), measured with a metal straight ruler, (II) microscopic frozen section tumor size (FSTS), and (III) microscopic paraffin section tumor size (PSTS). We compared each discrepancy rate (DR) [DR=(CT tumor size-pathological tumor size)/CT tumor size×100] (%) between tumors that were air-containing type and solid-density type on CT scans, and also compared the tumors with lepidic component rates (LCR) ≥50% and LCR <50%, by using Mann-Whitney U-tests.
RESULTS: FSE could diagnose malignancy with 100% accuracy. The mean CT tumor size was 18.36mm, and the mean pathological tumor sizes (MTS, FSTS, and PSTS) were 17.81, 14.29, and 14.23mm, respectively. FSTS and PSTS were significantly smaller than CT tumor size (p<0.001). The DR calculated with PSTS was significantly larger in air-containing than in solid-density tumors, and also larger in LCR ≥50% than in LCR <50% tumors.
CONCLUSION: FSE with the inflation method diagnosed malignancy with 100% accuracy. The lung specimen must be sufficiently inflated to prevent tissue shrinking, and we propose MTS as the definition for pathological tumor size in FSE. The greater discordance observed between CT tumor size and microscopic tumor size was assumed to be due to shrinkage of the lepidic component in the tumor.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Adenocarcinoma; CT tumor size; Frozen section examinations; Inflation method; Lepidic; Lung cancer; Pathological tumor size

Mesh:

Year:  2014        PMID: 24751107     DOI: 10.1016/j.lungcan.2014.03.023

Source DB:  PubMed          Journal:  Lung Cancer        ISSN: 0169-5002            Impact factor:   5.705


  10 in total

1.  What CT characteristics of lepidic predominant pattern lung adenocarcinomas correlate with invasiveness on pathology?

Authors:  Emily A Aherne; Andrew J Plodkowski; Joseph Montecalvo; Sumar Hayan; Junting Zheng; Marinela Capanu; Prasad S Adusumilli; William D Travis; Michelle S Ginsberg
Journal:  Lung Cancer       Date:  2018-02-03       Impact factor: 5.705

2.  Correlation in histological subtypes with high resolution computed tomography signatures of early stage lung adenocarcinoma.

Authors:  Yingying Miao; Jianya Zhang; Jiawei Zou; Qingqing Zhu; Tangfeng Lv; Yong Song
Journal:  Transl Lung Cancer Res       Date:  2017-02

3.  Comparison of the gas-liquid dual support fixation and Heitzman fixation techniques for preparing lung specimens.

Authors:  Dongsheng Yu; Weili Qu; Haipeng Xia; Xiaofeng Li; Zhenfeng Luan; Renjie Yan; Xiaodong Lu; Peng Zhao
Journal:  Exp Ther Med       Date:  2017-06-08       Impact factor: 2.447

4.  Pathologic categorization of lung nodules: Radiomic descriptors of CT attenuation distribution patterns of solid and subsolid nodules in low-dose CT.

Authors:  Chuan Zhou; Heang-Ping Chan; Aamer Chughtai; Lubomir M Hadjiiski; Ella A Kazerooni; Jun Wei
Journal:  Eur J Radiol       Date:  2020-05-31       Impact factor: 3.528

5.  Three-Dimensional Ground Glass Opacity Ratio in CT Images Can Predict Tumor Invasiveness of Stage IA Lung Cancer.

Authors:  Woo Sik Yu; Sae Rom Hong; Jin Gu Lee; Jae Seok Lee; Hee Suk Jung; Dae Joon Kim; Kyung Young Chung; Chang Young Lee
Journal:  Yonsei Med J       Date:  2016-09       Impact factor: 2.759

6.  Can emphysema influence size discrepancy between radiologic and pathologic size measurement in subsolid lung adenocarcinomas?

Authors:  Jae-Kwang Lim; Kyung Min Shin; Sang Yub Lee; Hoseok Lee; Myong Hun Hahm; Jaehee Lee; Chang Ho Kim; Seung-Ick Cha; Ji Yun Jeong
Journal:  Thorac Cancer       Date:  2019-08-12       Impact factor: 3.500

7.  Comparison of histological and computed tomographic measurements of pig lung bronchi.

Authors:  Volker H Schmitt; Christine Schmitt; David Hollemann; Andreas Mamilos; Willi Wagner; Oliver Weinheimer; Christoph Brochhausen
Journal:  ERJ Open Res       Date:  2020-12-07

8.  Predicting prognosis using a pathological tumor cell proportion in stage I lung adenocarcinoma.

Authors:  Hyun Woo Jeon; Young-Du Kim; Sung Bo Sim; Mi Hyoung Moon
Journal:  Thorac Cancer       Date:  2022-04-13       Impact factor: 3.223

9.  Postoperative computed tomography of insufflated lung specimens obtained by video-assisted thoracic surgery: detection and margin assessment of pulmonary nodules.

Authors:  Milene da Silva Antunes; Bruno Hochhegger; Giordano Rafael Tronco Alves; Fernando Ferreira Gazzoni; Gabriele Carra Forte; Rubens Gabriel Feijó Andrade; José Carlos Felicetti
Journal:  Radiol Bras       Date:  2022 May-Jun

10.  Correlation between maximal tumor diameter of fresh pathology specimens and computed tomography images in lung adenocarcinoma.

Authors:  Chul Hwan Park; Tae Hoon Kim; Sungsoo Lee; Duk Hwan Moon; Heae Surng Park
Journal:  PLoS One       Date:  2019-01-25       Impact factor: 3.240

  10 in total

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