Survival Prognostic Value of Morphological and Metabolic variables in Patients with Stage I and II Non-Small Cell Lung Cancer

Domachevsky, Liran; Groshar, David; Galili, Ronen; Sauté, Milton; Bernstine, Hanna

doi:10.1007/s00330-015-3754-8

Cited by 24 publications

(26 citation statements)

References 13 publications

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“…Volumetric parameters have gained increasingly interest as prognostic factors for various cancers [18]. However, to date, only few studies have focused on MTV repeatability.…”

Section: Discussionmentioning

confidence: 99%

Reproducibility and repeatability of same-day two sequential FDG PET/MR and PET/CT

et al. 2017

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BackgroundTo determine PET/CT and PET/MR reproducibility and PET/MR repeatability of fluorine 18 fluorodeoxyglucose (FDG) uptake measurements in tumors in cancer patients.MethodsThis IRB approved prospective study was performed between October 2015 and February 2016 in consecutive patients who performed same day PET/CT and two sequential PET/MR. Thirty three patients with visible tumors (N = 63) were included. SUV for body weight (SUV) and lean body mass (SUL) were obtained. Volume of interest (VOI) with a threshold of 40% was used and SUV/L’s, metabolic tumor volume (MTV) and tumor to liver ratio (T/L) were calculated. Measurements were plotted in a scattered diagram to visually identify correlation, a regression line was drawn and the equation of the line was calculated. Bland-Altman plots expressed as percentages were constructed to assess the agreement between measurements. The maximal clinically acceptable limits range was defined as ±30%.ResultsLesional SUV’s, SUL’s and MTV corrected to body weight (BW) and lean body mass (LBM) demonstrated strong positive linear correlation between PET/CT and PET/MR and between two sequential PET/MR. The 95% limits of agreement ranged from -27.7 to 17.5 with a mean of -5.1 and -27.6 to 17.9 with a mean of -4.9 for SUVpeak and SULpeak, respectively for sequential PET/MR. Other PET metrics demonstrated limits range that is above ±30% between PET/CT and PET/MR and between two sequential PET/MR.ConclusionPET/MR SUV/L peak has a clinically acceptable repeatability performance and can be used to evaluate the response to treatment.

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“…Volumetric parameters have gained increasingly interest as prognostic factors for various cancers [18]. However, to date, only few studies have focused on MTV repeatability.…”

Section: Discussionmentioning

confidence: 99%

Reproducibility and repeatability of same-day two sequential FDG PET/MR and PET/CT

et al. 2017

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“…Quantitative methods to measure tumor heterogeneity have been shown to play a role in the assessment of cancer response to therapy101112. Intratumor heterogeneity measured by texture parameters on non-enhanced and/or contrast material-enhanced CT images between baseline and initial post-therapy have been associated with overall survival (OS) in patients with colorectal cancer13, metastatic renal cell cancer14, esophageal cancer15, and NSCLC16171819.…”

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confidence: 99%

Non-small cell lung cancer: quantitative phenotypic analysis of CT images as a potential marker of prognosis

Song

Liu

Zhong

et al. 2016

Sci Rep

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This was a retrospective study to investigate the predictive and prognostic ability of quantitative computed tomography phenotypic features in patients with non-small cell lung cancer (NSCLC). 661 patients with pathological confirmed as NSCLC were enrolled between 2007 and 2014. 592 phenotypic descriptors was automatically extracted on the pre-therapy CT images. Firstly, support vector machine (SVM) was used to evaluate the predictive value of each feature for pathology and TNM clinical stage. Secondly, Cox proportional hazards model was used to evaluate the prognostic value of these imaging signatures selected by SVM which subjected to a primary cohort of 138 patients, and an external independent validation of 61 patients. The results indicated that predictive accuracy for histopathology, N staging, and overall clinical stage was 75.16%, 79.40% and 80.33%, respectively. Besides, Cox models indicated the signatures selected by SVM: “correlation of co-occurrence after wavelet transform” was significantly associated with overall survival in the two datasets (hazard ratio [HR]: 1.65, 95% confidence interval [CI]: 1.41–2.75, p = 0.010; and HR: 2.74, 95%CI: 1.10–6.85, p = 0.027, respectively). Our study indicates that the phenotypic features might provide some insight in metastatic potential or aggressiveness for NSCLC, which potentially offer clinical value in directing personalized therapeutic regimen selection for NSCLC.

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“…Herein, both MTV and TLG can better reflect the metabolic activity of the whole tumor, whereas SUVmax only represents information of a single pixel. Recent publications have reported that higher MTV and higher TLG showed a significant association with worse overall survival or disease‐free survival in patients with node‐negative NSCLC . Additionally, in a report by Shiono, the SUV index (a ratio of primary tumor SUVmax to liver SUV mean) was a significant prognostic indicator for stage IA NSCLC.…”

Section: Introductionmentioning

confidence: 92%

“…As shown in Table 2, there are 11 available reports that analyzed the prognostic significance of FDG accumulation in resected node-negative NSCLC. [43][44][45][46][47][48][49][50][51][52][53] All reports, except for two, included pathological stage IB NSCLC. 43,44 All of the examined studies reported the significant association between FDG accumulation and prognosis in patients with clinically node-negative NSCLC.…”

Section: Primary Tumor Fdg Accumulation As a Prognosticatormentioning

confidence: 99%

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18F‐fluorodeoxyglucose positron emission tomography/computed tomography in the evaluation of clinically node‐negative non‐small cell lung cancer

Takahashi

Suzuki²,

Matsutani

et al. 2019

Thoracic Cancer

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One in four non‐small cell lung cancer (NSCLC) patients are diagnosed at an early‐stage. Following the results of the National Lung Screening Trial that demonstrated a survival benefit for low‐dose computed tomography screening in high‐risk patients, the incidence of early‐stage NSCLC is expected to increase. Use of 18F‐fluorodeoxyglucose positron emission tomography/computed tomography during initial diagnosis of these early‐stage lesions has been increasing. Traditionally, positron emission tomography/computed tomography scans have been utilized for mediastinal nodal staging and to rule out distant metastases in suspected early‐stage NSCLC. In clinically node‐negative NSCLC, the use of sublobar resection and selective lymph node dissection has been increasing as a therapeutic option. The higher rate of locoregional recurrences after limited resection and the significant incidence of occult lymph node metastases underscores the need to further stratify clinically node‐negative NSCLC in order to select patients for limited resection versus lobectomy with complete mediastinal lymph node dissection. In this report, we review the published data, and discuss the significance and potential role of 18F‐fluorodeoxyglucose positron emission tomography/computed tomography evaluation for clinically node‐negative NSCLC. Consequently, the literature review demonstrates that maximum standardized uptake value is a predictive factor for occult nodal metastasis with an accuracy of 55–77%. In addition, maximum standardized uptake value is a predictor for worse overall, as well as disease‐free, survival.

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Survival Prognostic Value of Morphological and Metabolic variables in Patients with Stage I and II Non-Small Cell Lung Cancer

Abstract: • Identifying variables that predict the prognosis of patients with NSCLC is important. • SUVmax in primary lung tumour is a useful independent prognostic variable. • (CTvol) is an independent prognostic variable if no lymph nodes are involved.

Cited by 24 publications

References 13 publications

Reproducibility and repeatability of same-day two sequential FDG PET/MR and PET/CT

Reproducibility and repeatability of same-day two sequential FDG PET/MR and PET/CT

Non-small cell lung cancer: quantitative phenotypic analysis of CT images as a potential marker of prognosis

18F‐fluorodeoxyglucose positron emission tomography/computed tomography in the evaluation of clinically node‐negative non‐small cell lung cancer

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