Literature DB >> 26455720

Prognostic impact of nomogram based on whole tumour size, tumour disappearance ratio on CT and SUVmax on PET in lung adenocarcinoma.

So Hee Song1, Joong Hyun Ahn2, Ho Yun Lee3, Geewon Lee4, Joon Young Choi5, Jun Kang6, Eun Young Kim1, Joungho Han7, O Jung Kwon8, Kyung Soo Lee1, Hong Kwan Kim9, Yong Soo Choi9, Jhingook Kim9, Young Mog Shim9.   

Abstract

OBJECTIVES: Lung adenocarcinoma frequently manifests as subsolid nodules, and the solid portion and ground-glass-opacity (GGO) portion on CT have different prognostic significance. Therefore, current T descriptor, defined as the whole tumour diameter without discrimination between solid and GGO, is insufficient. We aimed to determine the prognostic significance of solid tumour size and attempt to include prognostic factors such as tumour disappearance rate (TDR) on CT and SUVmax on PET/CT.
METHODS: Five hundred and ninety-five patients with completely resected lung adenocarcinoma were analyzed. We developed a nomogram using whole tumour size, TDR, and SUVmax. External validation was performed in another 102 patients.
RESULTS: In patients with tumours measuring ≤2 cm and >2 to 3 cm, disease free survival (DFS) was significantly associated with solid tumour size (P < 0.001), but not with whole tumour size (P = 0.052). Developed nomogram was significantly superior to the conventional T stage (area under the curve of survival ROC; P = 0.013 by net reclassification improvement) in stratification of patient survival. In the external validation group, significant difference was noted in DFS according to proposed T stage (P = 0.009).
CONCLUSIONS: Nomogram-based T descriptors provide better prediction of survival and assessment of individual risks than conventional T descriptors. KEY POINTS: • Current measurement of whole tumour diameter including ground-glass opacity is insufficient • TDR enables differentiation between invasive solid portion and non-invasive GGO portion • SUVmax demonstrates the biological aggressiveness of the tumour • We developed a nomogram using whole tumour size, TDR, and SUVmax • Nomogram-based clinical T descriptors provide better prediction of survival.

Entities:  

Keywords:  Adenocarcinoma; Lung neoplasm; Multidetector Computed Tomography; Positron-Emitted Tomography; Tumour staging

Mesh:

Substances:

Year:  2015        PMID: 26455720     DOI: 10.1007/s00330-015-4029-0

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  35 in total

1.  Prognostic value of bronchiolo-alveolar carcinoma component of small lung adenocarcinoma.

Authors:  M Higashiyama; K Kodama; H Yokouchi; K Takami; M Mano; S Kido; K Kuriyama
Journal:  Ann Thorac Surg       Date:  1999-12       Impact factor: 4.330

2.  Prognostic assessment of 2,361 patients who underwent pulmonary resection for non-small cell lung cancer, stage I, II, and IIIA.

Authors:  M T van Rens; A B de la Rivière; H R Elbers; J M van Den Bosch
Journal:  Chest       Date:  2000-02       Impact factor: 9.410

Review 3.  Ground-glass opacity nodules: histopathology, imaging evaluation, and clinical implications.

Authors:  Ho Yun Lee; Kyung Soo Lee
Journal:  J Thorac Imaging       Date:  2011-05       Impact factor: 3.000

4.  The IASLC Lung Cancer Staging Project: proposals for the revision of the TNM stage groupings in the forthcoming (seventh) edition of the TNM Classification of malignant tumours.

Authors:  Peter Goldstraw; John Crowley; Kari Chansky; Dorothy J Giroux; Patti A Groome; Ramon Rami-Porta; Pieter E Postmus; Valerie Rusch; Leslie Sobin
Journal:  J Thorac Oncol       Date:  2007-08       Impact factor: 15.609

5.  Proportion of ground-glass opacity on high-resolution computed tomography in clinical T1 N0 M0 adenocarcinoma of the lung: A predictor of lymph node metastasis.

Authors:  Haruhisa Matsuguma; Kohei Yokoi; Masaki Anraku; Tetsuro Kondo; Yukari Kamiyama; Kiyoshi Mori; Keigo Tominaga; Yukio Tsuura; Satoshi Honjo
Journal:  J Thorac Cardiovasc Surg       Date:  2002-08       Impact factor: 5.209

6.  Lung adenocarcinoma as a solitary pulmonary nodule: prognostic determinants of CT, PET, and histopathologic findings.

Authors:  Ho Yun Lee; Joungho Han; Kyung Soo Lee; Ji Hyun Koo; Sun Young Jeong; Byung-Tae Kim; Young-Seok Cho; Young Mog Shim; Jhingook Kim; Kwanmien Kim; Yong Soo Choi
Journal:  Lung Cancer       Date:  2009-03-18       Impact factor: 5.705

7.  Discrepancy of computed tomographic image between lung and mediastinal windows as a prognostic implication in small lung adenocarcinoma.

Authors:  Morihito Okada; Wataru Nishio; Toshihiko Sakamoto; Kazuya Uchino; Noriaki Tsubota
Journal:  Ann Thorac Surg       Date:  2003-12       Impact factor: 4.330

Review 8.  Radiologic implications of the 2011 classification of adenocarcinoma of the lung.

Authors:  John H M Austin; Kavita Garg; Denise Aberle; David Yankelevitz; Keiko Kuriyama; Hyun-Ju Lee; Elisabeth Brambilla; William D Travis
Journal:  Radiology       Date:  2012-10-15       Impact factor: 11.105

9.  Preoperative F-18 fluorodeoxyglucose-positron emission tomography maximal standardized uptake value predicts survival after lung cancer resection.

Authors:  Robert J Downey; Timothy Akhurst; Mithat Gonen; Alain Vincent; Manjit S Bains; Steven Larson; Valerie Rusch
Journal:  J Clin Oncol       Date:  2004-08-15       Impact factor: 44.544

10.  Solid tumor size on high-resolution computed tomography and maximum standardized uptake on positron emission tomography for new clinical T descriptors with T1 lung adenocarcinoma.

Authors:  Y Tsutani; Y Miyata; H Nakayama; S Okumura; S Adachi; M Yoshimura; M Okada
Journal:  Ann Oncol       Date:  2013-06-20       Impact factor: 32.976

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  6 in total

1.  The clinical significance of ground glass opacities in lung adenocarcinoma in the era of UICC-TNM classification ver.8.

Authors:  Masayoshi Inoue; Masanori Shimomura
Journal:  J Thorac Dis       Date:  2019-12       Impact factor: 2.895

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.  Investigating the association between ground-glass nodules glucose metabolism and the invasive growth pattern of early lung adenocarcinoma.

Authors:  Xiaoliang Shao; Xiaonan Shao; Rong Niu; Zhenxing Jiang; Mei Xu; Yuetao Wang
Journal:  Quant Imaging Med Surg       Date:  2021-08

4.  Impact of the 8th Edition of the UICC-TNM Classification on Clinical Stage 0-IA Lung Adenocarcinoma: Does the New Classification Predict Postoperative Prognosis More Precisely than the Previous One?

Authors:  Liming Wang; Masaki Anraku; Masaaki Sato; Jun-Ichi Nitadori; Kazuhiro Nagayama; Kentaro Kitano; Jun Nakajima
Journal:  Ann Thorac Cardiovasc Surg       Date:  2018-05-30       Impact factor: 1.520

5.  Evaluating the tumor biology of lung adenocarcinoma: A multimodal analysis.

Authors:  Ki Hwan Kim; Seong-Yoon Ryu; Ho Yun Lee; Joon Young Choi; O Jung Kwon; Hong Kwan Kim; Young Mog Shim
Journal:  Medicine (Baltimore)       Date:  2019-07       Impact factor: 1.817

6.  Development and validation of a preoperative CT-based radiomic nomogram to predict pathology invasiveness in patients with a solitary pulmonary nodule: a machine learning approach, multicenter, diagnostic study.

Authors:  Luyu Huang; Weihuan Lin; Daipeng Xie; Yunfang Yu; Hanbo Cao; Guoqing Liao; Shaowei Wu; Lintong Yao; Zhaoyu Wang; Mei Wang; Siyun Wang; Guangyi Wang; Dongkun Zhang; Su Yao; Zifan He; William Chi-Shing Cho; Duo Chen; Zhengjie Zhang; Wanshan Li; Guibin Qiao; Lawrence Wing-Chi Chan; Haiyu Zhou
Journal:  Eur Radiol       Date:  2021-10-16       Impact factor: 7.034

  6 in total

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