Literature DB >> 34993068

Risk analysis in peripheral clinical T1 non-small cell lung cancer correlations between tumor-to-blood standardized uptake ratio on 18F-FDG PET-CT and primary tumor pathological invasiveness: a real-world observational study.

Xiao-Feng Li1,2, Yun-Mei Shi1, Rong Niu1, Xiao-Nan Shao1, Jian-Feng Wang1, Xiao-Liang Shao1, Fei-Fei Zhang1, Yue-Tao Wang1,3.   

Abstract

BACKGROUND: Sublobar resection is not suitable for patients with pathological invasiveness [including lymph node metastasis (LNM), visceral pleural invasion (VPI), and lymphovascular invasion (LVI)] of peripheral clinical T1 (cT1) non-small cell lung cancer (NSCLC), while primary tumor maximum standardized uptake value (SUVmax) on 18F-FDG PET-CT is related to pathological invasiveness, the significance differed among different institutions is still challenging. This study explored the relationship between the tumor-to-blood standardized uptake ratio (SUR) of 18F-FDG PET-CT and primary tumor pathological invasiveness in peripheral cT1 NSCLC patients.
METHODS: This retrospective study included 174 patients with suspected lung neoplasms who underwent preoperative 18F-FDG PET-CT. We compared the differences of the clinicopathological variables, metabolic and morphological parameters in the pathological invasiveness and less-invasiveness group. We performed a trend test for these parameters based on the tertiles of SUR. The relationship between SUR and pathological invasiveness was evaluated by univariate and multivariate logistics regression models (included unadjusted, simple adjusted, and fully adjusted models), odds ratios (ORs), and 95% confidence intervals (95% CIs) were calculated. A smooth fitting curve between SUR and pathological invasiveness was produced by the generalized additive model (GAM).
RESULTS: Thirty-eight point five percent of patients had pathological invasiveness and tended to have a higher SUR value than the less-invasiveness group [6.50 (4.82-11.16) vs. 4.12 (2.04-6.61), P<0.001]. The trend of SUVmax, mean standardized uptake value (SUVmean), metabolic tumor volume (MTV), total lesion glycolysis (TLG), mean CT value (CTmean), size of the primary tumor, neuron-specific enolase (NSE), the incidence of LNM, adenocarcinoma (AC), and poor differentiation in the tertiles of SUR value were statistically significant (P were <0.001, <0.001, 0.010, <0.001, <0.001, 0.002, 0.033, <0.001, 0.002, and <0.001, respectively). Univariate analysis showed that the risk of pathological invasiveness increased significantly with increasing SUR [OR: 1.13 (95% CI: 1.06-1.21), P<0.001], and multivariate analysis demonstrated SUR, as a continuous variable, was still significantly related to pathological invasiveness [OR: 1.09 (95% CI: 1.01-1.18), P=0.032] after adjusting for confounding covariates. GAM revealed that SUR tended to be linearly and positively associated with pathological invasiveness and E-value analysis suggested robustness to unmeasured confounding.
CONCLUSIONS: SUR is linearly and positively associated with primary tumor pathological invasiveness independent of confounding covariates in peripheral cT1 NSCLC patients and could be used as a supplementary risk maker to assess the risk of pathological invasiveness. 2022 Quantitative Imaging in Medicine and Surgery. All rights reserved.

Entities:  

Keywords:  Non-small cell lung cancer (NSCLC); PET-CT; odds ratio (OR); risk factor

Year:  2022        PMID: 34993068      PMCID: PMC8666728          DOI: 10.21037/qims-21-394

Source DB:  PubMed          Journal:  Quant Imaging Med Surg        ISSN: 2223-4306


  32 in total

1.  Ability of FDG PET and CT radiomics features to differentiate between primary and metastatic lung lesions.

Authors:  Margarita Kirienko; Luca Cozzi; Alexia Rossi; Emanuele Voulaz; Lidija Antunovic; Antonella Fogliata; Arturo Chiti; Martina Sollini
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-04-06       Impact factor: 9.236

2.  Long-Term Prognosis After Segmentectomy for cT1 N0 M0 Non-Small Cell Lung Cancer.

Authors:  Hiroaki Nomori; Takeshi Mori; Atsushi Shiraishi; Kosuke Fujino; Yonosuke Sato; Takaaki Ito; Makoto Suzuki
Journal:  Ann Thorac Surg       Date:  2018-12-21       Impact factor: 4.330

3.  Disagreement of diameter and volume measurements for pulmonary nodule size estimation in CT lung cancer screening.

Authors:  Marjolein A Heuvelmans; Joan E Walter; Rozemarijn Vliegenthart; Peter M A van Ooijen; Geertruida H De Bock; Harry J de Koning; Matthijs Oudkerk
Journal:  Thorax       Date:  2017-10-22       Impact factor: 9.139

4.  Prognostic significance of using solid versus whole tumor size on high-resolution computed tomography for predicting pathologic malignant grade of tumors in clinical stage IA lung adenocarcinoma: a multicenter study.

Authors:  Yasuhiro Tsutani; Yoshihiro Miyata; Haruhiko Nakayama; Sakae Okumura; Shuji Adachi; Masahiro Yoshimura; Morihito Okada
Journal:  J Thorac Cardiovasc Surg       Date:  2011-11-20       Impact factor: 5.209

5.  Breastfeeding duration in infancy and adult risks of type 2 diabetes in a high-income country.

Authors:  Lise G Bjerregaard; Dorthe C Pedersen; Erik L Mortensen; Thorkild I A Sørensen; Jennifer L Baker
Journal:  Matern Child Nutr       Date:  2019-08-02       Impact factor: 3.092

6.  Prediction of pathologic node-negative clinical stage IA lung adenocarcinoma for optimal candidates undergoing sublobar resection.

Authors:  Yasuhiro Tsutani; Yoshihiro Miyata; Haruhiko Nakayama; Sakae Okumura; Shuji Adachi; Masahiro Yoshimura; Morihito Okada
Journal:  J Thorac Cardiovasc Surg       Date:  2012-08-09       Impact factor: 5.209

7.  Methods for staging non-small cell lung cancer: Diagnosis and management of lung cancer, 3rd ed: American College of Chest Physicians evidence-based clinical practice guidelines.

Authors:  Gerard A Silvestri; Anne V Gonzalez; Michael A Jantz; Mitchell L Margolis; Michael K Gould; Lynn T Tanoue; Loren J Harris; Frank C Detterbeck
Journal:  Chest       Date:  2013-05       Impact factor: 9.410

8.  Variability and Repeatability of Quantitative Uptake Metrics in 18F-FDG PET/CT of Non-Small Cell Lung Cancer: Impact of Segmentation Method, Uptake Interval, and Reconstruction Protocol.

Authors:  Mingzan Zhuang; David Vállez García; Gerbrand M Kramer; Virginie Frings; E F Smit; Rudi Dierckx; Otto S Hoekstra; Ronald Boellaard
Journal:  J Nucl Med       Date:  2018-11-02       Impact factor: 10.057

9.  18F-FDG PET-based radiomics model for predicting occult lymph node metastasis in clinical N0 solid lung adenocarcinoma.

Authors:  Lili Wang; Tiancheng Li; Junjie Hong; Mingyue Zhang; Mingli Ouyang; Xiangwu Zheng; Kun Tang
Journal:  Quant Imaging Med Surg       Date:  2021-01

10.  The PET-derived tumor-to-blood standard uptake ratio (SUR) is superior to tumor SUV as a surrogate parameter of the metabolic rate of FDG.

Authors:  Jörg van den Hoff; Liane Oehme; Georg Schramm; Jens Maus; Alexandr Lougovski; Jan Petr; Bettina Beuthien-Baumann; Frank Hofheinz
Journal:  EJNMMI Res       Date:  2013-11-23       Impact factor: 3.138

View more
  1 in total

1.  A predictive nomogram for lymph node metastasis in part-solid invasive lung adenocarcinoma: A complement to the IASLC novel grading system.

Authors:  Zhaoming Gao; Xiaofei Wang; Tao Zuo; Mengzhe Zhang; Zhenfa Zhang
Journal:  Front Oncol       Date:  2022-08-15       Impact factor: 5.738

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.