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Okada Y, Zama T, Itonaga T, Mikami R, Okubo M, Sugahara S, Nakai M, Abe K, Yoshimura M, Saito K. Association between PET-CT accumulation in the hypothalamic/pituitary regions and neuron-specific enolase/primary tumor in limited-stage small cell lung cancer: a case-controlled retrospective study. EJNMMI REPORTS 2024; 8:4. [PMID: 38748049 PMCID: PMC10962629 DOI: 10.1186/s41824-024-00190-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Accepted: 12/06/2023] [Indexed: 05/19/2024]
Abstract
BACKGROUND Research on the relationship between neuron-specific enolase (NSE) levels and normal organs, particularly the central nervous system, in small cell lung cancer is limited. Therefore, this study aimed to investigate the relationship between positron emission tomography-computed tomography (PET-CT) accumulation at hypothalamic/pituitary regions, tumor activity, and NSE level in limited-stage small cell lung cancer. We retrospectively analyzed patients who were diagnosed with limited-stage small cell lung cancer at Tokyo Medical University Hospital between July 1, 2019, and May 31, 2023, and were treated with chemoradiotherapy or radiotherapy. Leukocytes, erythrocytes, hemoglobin, platelets, total protein, albumin, NSE, and carcinoembryonic antigen were measured in blood samples obtained before treatment initiation. The maximum standardized uptake value (SUVmax), volume, and total lesion glycolysis (TLG) of each hypothalamic /pituitary region, primary tumor, and lymph node metastases were extracted from PET-CT images. The total tumor volume (primary tumor volume plus lymph node metastases volume) and total TLG (primary tumor TLG plus lymph node metastases TLG) were calculated. RESULTS This study included 19 patients (mean age, 70.1 ± 8.8 years; 13 men and 6 women); the pathology in all patients was small cell lung cancer. Patients were classified into two groups according to the NSE reference value (16.3 ng/mL): six patients having NSE level below the reference value and 13 having NSE level above the reference value. The SUVmax in the hypothalamic/pituitary region was 2.95 in the NSE < 16.3 ng/mL group and 4.10 in the NSE > 16.3 ng/mL group, with a statistically significant difference (p = 0.03). The total tumor volume was 17.8 mL in the NSE < 16.3 ng/mL group and 98.9 mL in the NSE > 16.3 ng/mL group, with a statistically significant difference (p < 0.01). A correlation coefficient of r = 0.458 (p = 0.0486) was observed between SUVmax in the hypothalamus/pituitary and NSE level. A correlation coefficient of r = 0.647 (p < 0.01) was also observed between total tumor volume and NSE level. Finally, a correlation coefficient of r = 0.53 (p = 0.01) was observed between hypothalamic/pituitary TLG and primary tumor TLG. CONCLUSIONS The findings demonstrated a correlation between hypothalamic/pituitary activity and tumor activity, suggesting the prognostic significance of NSE.
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Affiliation(s)
- Yukinori Okada
- Department of Radiology, Tokyo Medical University, Tokyo, Japan.
| | - Tatsuhiko Zama
- Department of Radiology, Tokyo Medical University, Tokyo, Japan
| | | | - Ryuji Mikami
- Department of Radiology, Tokyo Medical University, Tokyo, Japan
| | - Mitsuru Okubo
- Department of Radiology, Tokyo Medical University, Tokyo, Japan
| | - Shinji Sugahara
- Department of Radiology, Tokyo Medical University, Tokyo, Japan
| | - Motoki Nakai
- Department of Radiology, Tokyo Medical University, Tokyo, Japan
| | - Koichiro Abe
- Department of Radiology, Tokyo Medical University, Tokyo, Japan
| | - Mana Yoshimura
- Department of Radiology, Tokyo Medical University, Tokyo, Japan
| | - Kazuhiro Saito
- Department of Radiology, Tokyo Medical University, Tokyo, Japan
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Maman A, Çiğdem S, Kaya İ, Demirtaş R, Ceylan O, Özmen S. Diagnostic value of FDG PET-CT in differentiating lung adenocarcinoma from squamous cell carcinoma. EJNMMI REPORTS 2024; 8:1. [PMID: 38748067 PMCID: PMC10962626 DOI: 10.1186/s41824-024-00187-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 12/19/2023] [Indexed: 05/19/2024]
Abstract
BACKGROUND Lung cancer is the leading cause of cancer-related deaths worldwide. The combination of fluorine-18 fluorodeoxyglucose positron emission tomography (18F-FDG PET) and computed tomography (CT) has a major impact on the diagnosis, staging, treatment planning and follow-up of lung cancer patients. The maximum standardized uptake value (SUVmax) is an easily performed and most widely used semi-quantitative index for the analysis of FDG PET images and estimation of metabolic activity. This study aimed to investigate the role of PET/CT in differentiating adenocarcinoma (ADC), the most common lung cancer, from squamous cell carcinoma (SCC) by comparing FDG uptake measured as SUVmax. RESULTS Between 2019 and 2022, 76 patients diagnosed with non-small cell lung cancer (NSCLC) at the Department of Pathology, Atatürk University Faculty of Medicine, with histopathologic evidence of adenocarcinoma or squamous cell carcinoma, underwent retrospective analysis using PET/CT scanning to measure PET parameters of the lesions and compare them with histopathology. Among 76 NSCLC patients included in the study, 43 (57%) were histopathologically diagnosed as ADC and 33 (43%) as SCC. SUVmax, SUVmean, metabolic tumor volume (MTV) and total lesion glycolysis (TLG) values of lesions in patients with SCC were statistically significantly higher than those in patients with ADC (p values 0.007, 0.009, 0.003 and 0.04, respectively). CONCLUSIONS Lung SCC has higher metabolic uptake values than ADC, and PET/CT can be used to differentiate them.
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Affiliation(s)
- Adem Maman
- Department of Nuclear Medicine, Faculty of Medicine, Atatürk University, Erzurum, Turkey.
| | - Sadık Çiğdem
- Vocational School of Health Services, Istanbul Aydın University, Istanbul, Turkey
| | - İdris Kaya
- Department of Radiology, Private Buhara Hospital, Erzurum, Turkey
| | - Rabia Demirtaş
- Department of Medical Pathology, Faculty of Medicine, Atatürk University, Erzurum, Turkey
| | - Onur Ceylan
- Department of Medical Pathology, Faculty of Medicine, Atatürk University, Erzurum, Turkey
| | - Sevilay Özmen
- Department of Medical Pathology, Faculty of Medicine, Atatürk University, Erzurum, Turkey
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Kandemir O, Demir F. An Investigation of the Relationship Between 18F-FDG PET/CT Parameters of Primary Tumors and Lymph Node Metastasis in Resectable Non-small Cell Lung Cancer. Curr Radiopharm 2024; 17:111-116. [PMID: 37644744 DOI: 10.2174/1874471016666230829100703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Revised: 06/27/2023] [Accepted: 07/14/2023] [Indexed: 08/31/2023]
Abstract
BACKGROUND Mediastinal lymph node metastasis is an important prognostic factor in non-small cell lung cancer (NSCLC) patients without distant metastases. 18F-2-fluoro-2-deoxy-Dglucose Positron Emission Tomography/Computed Tomography (18F-FDG PET/CT) is recommended for detecting and staging lymph nodes and distant metastases in NSCLC patients. OBJECTIVE This study aims to investigate whether maximum standardized uptake (SUVmax), mean standardized uptake (SUVmean), metabolic tumor volume (MTV), and tumor lesion glycolysis (TLG) values of the primary tumor measured by 18F-FDG PET/CT in resectable NSCLC can predict preoperative lymph node metastasis. METHODS This retrospective study included eighty NSCLC patients who underwent preoperative Positron Emission Tomography/Computed Tomography (PET/CT) for diagnosis and staging. The patients were stage I-III and had no distant metastases. Tumor metabolic parameters such as SUVmax, SUVmean, MTV, and TLG at PET/CT imaging were measured for preoperative diagnosis and staging, and the postoperative pathology results of the patients were examined. The pathology results divided patients with and without lymph node metastasis into two groups. The groups were compared with the student's t-test and chi-square test regarding 18F-FDG PET/CT tumor metabolic parameters and other parameters. RESULTS Fifteen (18.8%) patients were female, and 65 (81.3%) were male. According to the postoperative pathology results, while 30 (37.5%) patients had lymph node metastasis, 50 (62.5%) did not. There was a significant difference between the groups regarding tumor SUVmax and SUVmean values (p = 0.036, p = 0.045). Overall survival in the N0 group was significantly higher than in the N1 + N2 group (p = 0.034); median survival was 30.2 months in N0 cases and 27.3 months in N1 and N2 groups. CONCLUSION SUVmax and SUVmean values are significantly higher in patients with lymph node metastases than in patients without lymph node metastases, and this finding may provide useful information for predicting lymph node metastasis in patients with resectable NSCLC.
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Affiliation(s)
- Ozan Kandemir
- Department of Nuclear Medicine, Faculty of Medicine, Sıtkı Kocman University, Mugla, Turkey
| | - Fadime Demir
- Nuclear Medicine Department, Kayseri City Health Application and Research Center, Health Sciences University, Kayseri, Turkey
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Al-Ibraheem A, Abdlkadir AS, Al-Adhami D, Hejleh TA, Mansour A, Mohamad I, Juweid ME, Al-Rasheed U, Al-Hajaj N, Laban DA, Estrada-Lobato E, Saraireh O. The Prognostic and Diagnostic Value of [ 18F]FDG PET/CT in Untreated Laryngeal Carcinoma. J Clin Med 2023; 12:jcm12103514. [PMID: 37240619 DOI: 10.3390/jcm12103514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 04/06/2023] [Accepted: 05/10/2023] [Indexed: 05/28/2023] Open
Abstract
This study aims to determine the diagnostic accuracy of staging PET/CT and neck MRI in patients with laryngeal carcinoma and to assess the value of PET/CT in predicting progression-free survival (PFS) and overall survival (OS). Sixty-eight patients who had both modalities performed before treatment between 2014 and 2021 were included in this study. The sensitivity and specificity of PET/CT and MRI were evaluated. PET/CT had 93.8% sensitivity, 58.3% specificity, and 75% accuracy for nodal metastasis, whereas MRI had 68.8%, 61.1%, and 64.7% accuracy, respectively. At a median follow-up of 51 months, 23 patients had developed disease progression and 17 patients had died. Univariate-survival analysis revealed all utilized PET parameters as significant prognostic factors for OS and PFS (p-value < 0.03 each). In multivariate analysis, metabolic-tumor volume (MTV) and total lesion glycolysis (TLG) predicted better PFS (p-value < 0.05 each). In conclusion, PET/CT improves the accuracy of nodal staging in laryngeal carcinoma over neck MRI and adds to the prognostication of survival outcomes through the use of several PET metrics.
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Affiliation(s)
- Akram Al-Ibraheem
- Department of Nuclear Medicine and PET/CT, King Hussein Cancer Center (KHCC), Al-Jubeiha, Amman 11941, Jordan
- Department of Radiology and Nuclear Medicine, Division of Nuclear Medicine, University of Jordan, Amman 11942, Jordan
| | - Ahmed Saad Abdlkadir
- Department of Nuclear Medicine and PET/CT, King Hussein Cancer Center (KHCC), Al-Jubeiha, Amman 11941, Jordan
| | - Dhuha Al-Adhami
- Department of Nuclear Medicine and PET/CT, King Hussein Cancer Center (KHCC), Al-Jubeiha, Amman 11941, Jordan
| | - Taher Abu Hejleh
- Department of Medical Oncology, King Hussein Cancer Center, Amman 11941, Jordan
| | - Asem Mansour
- Department of Diagnostic Radiology, King Hussein Cancer Center, Amman 11941, Jordan
| | - Issa Mohamad
- Department of Radiation Oncology, King Hussein Cancer Center, Amman 11941, Jordan
| | - Malik E Juweid
- Department of Radiology and Nuclear Medicine, Division of Nuclear Medicine, University of Jordan, Amman 11942, Jordan
| | - Ula Al-Rasheed
- Department of Nuclear Medicine and PET/CT, King Hussein Cancer Center (KHCC), Al-Jubeiha, Amman 11941, Jordan
| | - Nabeela Al-Hajaj
- Department of Nuclear Medicine and PET/CT, King Hussein Cancer Center (KHCC), Al-Jubeiha, Amman 11941, Jordan
| | - Dima Abu Laban
- Department of Diagnostic Radiology, King Hussein Cancer Center, Amman 11941, Jordan
| | - Enrique Estrada-Lobato
- Nuclear Medicine and Diagnostic Section, Division of Human Health, International Atomic Energy Agency, 1220 Vienna, Austria
| | - Omar Saraireh
- Department of Surgical Oncology, King Hussein Cancer Center, Amman 11941, Jordan
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Freely available convolutional neural network-based quantification of PET/CT lesions is associated with survival in patients with lung cancer. EJNMMI Phys 2022; 9:6. [PMID: 35113252 PMCID: PMC8814082 DOI: 10.1186/s40658-022-00437-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2021] [Accepted: 01/24/2022] [Indexed: 12/11/2022] Open
Abstract
Background Metabolic positron emission tomography/computed tomography (PET/CT) parameters describing tumour activity contain valuable prognostic information, but to perform the measurements manually leads to both intra- and inter-reader variability and is too time-consuming in clinical practice. The use of modern artificial intelligence-based methods offers new possibilities for automated and objective image analysis of PET/CT data.
Purpose We aimed to train a convolutional neural network (CNN) to segment and quantify tumour burden in [18F]-fluorodeoxyglucose (FDG) PET/CT images and to evaluate the association between CNN-based measurements and overall survival (OS) in patients with lung cancer. A secondary aim was to make the method available to other researchers. Methods A total of 320 consecutive patients referred for FDG PET/CT due to suspected lung cancer were retrospectively selected for this study. Two nuclear medicine specialists manually segmented abnormal FDG uptake in all of the PET/CT studies. One-third of the patients were assigned to a test group. Survival data were collected for this group. The CNN was trained to segment lung tumours and thoracic lymph nodes. Total lesion glycolysis (TLG) was calculated from the CNN-based and manual segmentations. Associations between TLG and OS were investigated using a univariate Cox proportional hazards regression model. Results The test group comprised 106 patients (median age, 76 years (IQR 61–79); n = 59 female). Both CNN-based TLG (hazard ratio 1.64, 95% confidence interval 1.21–2.21; p = 0.001) and manual TLG (hazard ratio 1.54, 95% confidence interval 1.14–2.07; p = 0.004) estimations were significantly associated with OS. Conclusion Fully automated CNN-based TLG measurements of PET/CT data showed were significantly associated with OS in patients with lung cancer. This type of measurement may be of value for the management of future patients with lung cancer. The CNN is publicly available for research purposes.
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Nakanishi K, Nakamura S, Sugiyama T, Kadomatsu Y, Ueno H, Goto M, Ozeki N, Fukui T, Iwano S, Chen-Yoshikawa TF. Diagnostic utility of metabolic parameters on FDG PET/CT for lymph node metastasis in patients with cN2 non-small cell lung cancer. BMC Cancer 2021; 21:983. [PMID: 34474680 PMCID: PMC8414769 DOI: 10.1186/s12885-021-08688-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Accepted: 08/16/2021] [Indexed: 11/20/2022] Open
Abstract
Background The aim of this study was to assess the diagnostic utility of metabolic parameters on fluorine-18-fluoro-2-deoxy-D-glucose-positron emission tomography (FDG-PET)/computed tomography (CT) for predicting lymph node (LN) metastasis in patients with cN2 non-small cell lung cancer (NSCLC). Methods We retrospectively reviewed patients who underwent surgery for cN2 NSCLC between 2007 and 2020. Those who had clinically diagnosed positive hilar and mediastinal LNs by routine CT and PET/CT imaging were investigated. To measure the metabolic parameters of LNs, the data according to maximum standardized uptake value (SUVmax), metabolic tumor volume (MTV), total lesion glycolysis (TLG), and LN-to-primary tumor ratio of SUVmax (LPR) were examined. The diagnosis of each retrieved LN was confirmed based on histopathological examination of surgical tissue specimens. Receiver operating characteristics (ROC) curves with area under the curve (AUC) calculations and multivariate analysis by logistic regression were performed. Results Forty-five patients with 84 clinically diagnosed positive hilar or mediastinal LNs were enrolled in the present study. Of the 84 LNs, 63 LNs were pathologically proven as positive (75%). The SUVmax, MTV, TLG, and LPR of LN metastasis were significantly higher than those of benign nodes. In the ROC analysis, the AUC value of LPR [AUC, 0.776; 95% confidence interval (CI), 0.640–0.913] was higher than that of LN SUVmax (AUC, 0.753; 95% CI, 0.626–0.880) or LN TLG3.5 (AUC, 0.746; 95% CI, 0.607–0.885). Using the optimal LPR cutoff value of 0.47, the sensitivity, specificity, positive predictive value, negative predictive value, and accuracy were 84.1, 66.7, 88.3, 58.3, and 79.8%, respectively. Multivariate analysis by logistic regression showed that LPR was an independent predictor for LN metastasis (odds ratio, 6.45; 95% CI, 1.785–23.301; P = 0.004). In the subgroup analysis of adenocarcinoma patients (n = 18; 32 LNs), TLG3.5 was a better predictor (AUC, 0.816; 95% CI, 0.639–0.985) than LPR (AUC, 0.792; 95% CI, 0.599–0.986) or LN SUVmax (AUC, 0.792; 95% CI, 0.625–0.959). Conclusions Our findings suggest that LPR on FDG-PET is a useful predictor for LN metastasis in patients with cN2 NSCLC. TLG can be a good predictor for LN metastasis in patients with adenocarcinoma. Supplementary Information The online version contains supplementary material available at 10.1186/s12885-021-08688-6.
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Affiliation(s)
- Keita Nakanishi
- Department of Thoracic Surgery, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan
| | - Shota Nakamura
- Department of Thoracic Surgery, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan.
| | - Tomoshi Sugiyama
- Department of Thoracic Surgery, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan
| | - Yuka Kadomatsu
- Department of Thoracic Surgery, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan
| | - Harushi Ueno
- Department of Thoracic Surgery, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan
| | - Masaki Goto
- Department of Thoracic Surgery, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan
| | - Naoki Ozeki
- Department of Thoracic Surgery, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan
| | - Takayuki Fukui
- Department of Thoracic Surgery, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan
| | - Shingo Iwano
- Department of Radiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Toyofumi Fengshi Chen-Yoshikawa
- Department of Thoracic Surgery, Nagoya University Graduate School of Medicine, 65 Tsurumai-cho, Showa-ku, Nagoya, 466-8550, Japan
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Prognostic Value of Combing Primary Tumor and Nodal Glycolytic-Volumetric Parameters of 18F-FDG PET in Patients with Non-Small Cell Lung Cancer and Regional Lymph Node Metastasis. Diagnostics (Basel) 2021; 11:diagnostics11061065. [PMID: 34207763 PMCID: PMC8228685 DOI: 10.3390/diagnostics11061065] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 06/07/2021] [Accepted: 06/08/2021] [Indexed: 12/19/2022] Open
Abstract
We investigated whether the combination of primary tumor and nodal 18F-FDG PET parameters predict survival outcomes in patients with nodal metastatic non-small cell lung cancer (NSCLC) without distant metastasis. We retrospectively extracted pre-treatment 18F-FDG PET parameters from 89 nodal-positive NSCLC patients (stage IIB–IIIC). The Cox proportional hazard model was used to identify independent prognosticators of overall survival (OS) and progression-free survival (PFS). We devised survival stratification models based on the independent prognosticators and compared the model to the American Joint Committee on Cancer (AJCC) staging system using Harrell’s concordance index (c-index). Our results demonstrated that total TLG (the combination of primary tumor and nodal total lesion glycolysis) and age were independent risk factors for unfavorable OS (p < 0.001 and p = 0.001) and PFS (both p < 0.001), while the Eastern Cooperative Oncology Group scale independently predicted poor OS (p = 0.022). Our models based on the independent prognosticators outperformed the AJCC staging system (c-index = 0.732 versus 0.544 for OS and c-index = 0.672 versus 0.521 for PFS, both p < 0.001). Our results indicate that incorporating total TLG with clinical factors may refine risk stratification in nodal metastatic NSCLC patients and may facilitate tailored therapeutic strategies in this patient group.
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Tustumi F, Duarte PS, Albenda DG, Takeda FR, Sallum RAA, Junior UR, Buchpiguel CA, Cecconello I. Prognostic value of 18F-fluorodeoxyglucose PET/computed tomography metabolic parameters measured in the primary tumor and suspicious lymph nodes before neoadjuvant therapy in patients with esophageal carcinoma. Nucl Med Commun 2021; 42:437-443. [PMID: 33306638 DOI: 10.1097/mnm.0000000000001347] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND 18F-fluorodeoxyglucose PET/computed tomography (18F-FDG PET/CT) metabolic parameters are prognostic indicators in several neoplasms. This study aimed to evaluate the prognostic value of the maximum and average standardized uptake value (SUVmax and SUVavg), metabolic tumor value (MTV), and total lesion glycolysis (TLG) measured in the primary tumor and suspicious lymph nodes preneoadjuvant therapy in patients submitted to surgical resection for esophageal cancer. METHODS A cohort of 113 patients with esophageal cancer who performed 18F-FDG PET/CT preneoadjuvant therapy was assessed. The association of the SUV, MTV, and TLG measured in the primary tumor and in the suspicious lymph nodes with the overall survival was assessed. It was also analyzed other potentially confounding variables such as age, sex, clinical stage, and histologic subtype. The analyses were performed using Kaplan-Meier curve, log-rank test, and Cox regression. RESULTS The univariate analyses showed that the MTV and TLG in the primary tumor, the SUV in the suspicious lymph nodes, the age, the histologic subtype, and the clinical stage were associated with survival after surgery (P ≤ 0.05). In the Cox regression multivariate analyses, all variables identified in the univariate analyses but the clinical stage were associated with survival after surgery (P ≤ 0.05). CONCLUSION In esophageal cancer patients, some of the 18F-FDG PET/CT metabolic parameters measured in the primary tumor and in the suspicious lymph nodes before the neoadjuvant therapy are independent indicators of overall survival and appear to be more important than the clinical stage in the prognostic definition of this group of patients.
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Prognostic Value of 18F-FDG-PET Parameters in Patients with Small Cell Lung Cancer: A Meta-Analysis and Review of Current Literature. Diagnostics (Basel) 2021; 11:diagnostics11020174. [PMID: 33530446 PMCID: PMC7912276 DOI: 10.3390/diagnostics11020174] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Revised: 01/18/2021] [Accepted: 01/22/2021] [Indexed: 01/29/2023] Open
Abstract
Many studies have suggested a prognostic value of one or several positron emission tomography (PET) parameters in patients with small cell lung cancer (SCLC). However, studies are often small, and there is a considerable interstudy disagreement about which PET parameters have a prognostic value. The objective of this study was to perform a review and meta-analysis to identify the most promising PET parameter for prognostication. PubMed®, Cochrane, and Embase® were searched for papers addressing the prognostic value of any PET parameter at any treatment phase with any endpoint in patients with SCLC. Pooled hazard ratios (HRs) were calculated by a random effects model for the prognostic value of the baseline maximum standardized uptake value (SUVmax) and metabolic tumor volume (MTV). The qualitative analysis included 38 studies, of these, 19 studies were included in the meta-analyses. The pooled results showed that high baseline MTV was prognostic for overall survival (OS) (HR: 2.83 (95% confidence interval [CI]: 2.00–4.01) and progression-free survival (PFS) (HR: 3.11 (95% CI: 1.99–4.90)). The prognostic value of SUVmax was less pronounced (OS: HR: 1.50 (95% CI: 1.17–1.91); PFS: HR: 1.24 (95% CI: 0.94–1.63)). Baseline MTV is a strong prognosticator for OS and PFS in patients with SCLC. MTV has a prognostic value superior to those of other PET parameters, but whether MTV is superior to other prognosticators of tumor burden needs further investigation.
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Lim CH, Hyun SH, Moon SH, Cho YS, Choi JY, Lee KH. Comparison of the prognostic values of 18F-fluorodeoxyglucose parameters from colon and non-colon sites of involvement in diffuse large B-cell lymphoma of the colon. Sci Rep 2020; 10:12748. [PMID: 32728134 PMCID: PMC7391696 DOI: 10.1038/s41598-020-69550-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2019] [Accepted: 07/14/2020] [Indexed: 11/16/2022] Open
Abstract
We examined the prognostic values of 18F-fluorodeoxyglucose (18F-FDG) parameters from colon, non-colon, and total lesions in patients with diffuse large B-cell lymphoma (DLBCL) of the colon. Positron emission tomography/computed tomography (PET/CT) in 50 patients was retrospectively analyzed for maximum standardized uptake value (SUVmax), metabolic tumor volume (MTV) and total lesion glycolysis (TLG). During follow-up, 13 patients showed progression and 9 died from disease. Receiver operating characteristics (ROC) curve analysis showed that non-colon and total lesion MTV and TLG and colon lesion SUVmax were associated with progression or death. Significant univariate predictors of poor event-free survival (EFS) included stage III-IV, greater International Prognostic Index (IPI) score, no resection, high non-colon lesion SUVmax, MTV and TLG, and high total lesion MTV and TLG. Univariate predictors of poor overall survival (OS) included stage III–IV, greater IPI score, no resection, high non-colon lesion MTV and TLG, high total lesion MTV, and low colon lesion SUVmax. Multivariate analysis revealed that high non-colon lesion TLG was independently associated with poor EFS and OS. Low colon lesion SUVmax was also independently associated with poor OS. In a subgroup with colon-dominant involvement (n = 35), non-colon lesion MTV and TLG were associated with events and non-colon lesion MTV was associated with patient death. Univariate analysis showed that high non-colon lesion MTV was a significant predictor of poor EFS and OS, while non-colon lesion TLG was a significant predictor of poor OS. Thus, volumetric FDG parameters of non-colon lesions offered significant prognostic information in patients with DLBCL of the colon.
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Affiliation(s)
- Chae Hong Lim
- Department of Nuclear Medicine, Soonchunhyang University Hospital, Seoul, Korea
| | - Seung Hyup Hyun
- Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Korea
| | - Seung Hwan Moon
- Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Korea
| | - Young Seok Cho
- Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Korea
| | - Joon Young Choi
- Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Korea
| | - Kyung-Han Lee
- Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Korea.
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Quartuccio N, Evangelista L, Alongi P, Caobelli F, Altini C, Cistaro A, Lambertini A, Schiorlin I, Popescu CE, Linguanti F, Laudicella R, Scalorbi F, Di Pierro G, Asabella AN, Cuppari L, Margotti S, Lima GM, Scalisi S, Pacella S, Kokomani A, Ciaccio A, Sturiale L, Vento A, Cardile D, Baldari S, Panareo S, Fanti S, Rubini G, Schillaci O, Chiaravalloti A. Prognostic and diagnostic value of [18F]FDG-PET/CT in restaging patients with small cell lung carcinoma: an Italian multicenter study. Nucl Med Commun 2019; 40:808-814. [PMID: 31136534 DOI: 10.1097/mnm.0000000000001038] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
BACKGROUND The presence of residual disease after initial treatment in small cell lung cancer (SCLC) influences prognosis and impacts patient management. To date, few data exist on the value of fluorine-18-fluorodeoxyglucose ([F]FDG)-PET/computed tomography (CT) in SCLC at restaging. Therefore, in restaging patients with SCLC, we aimed to (a) evaluate the prognostic value yielded by [F]FDG-PET/CT and (b) assess the diagnostic agreement between [F]FDG-PET/CT and contrast-enhanced computed tomography (ceCT). PATIENTS AND METHODS From a multicenter database, we evaluated 164 patients with SCLC who underwent [F]FDG-PET/CT for restaging purposes. PET scans were evaluated visually to identify the presence of recurrence. For each patient, the maximum and the mean standardized uptake value (SUVmax and SUVmean, respectively), metabolic tumor volume, and total lesion glycolysis were calculated, taking into account the lesion with the highest [F]FDG uptake (namely, the index lesion) in the local recurrences, lymph node involvement, and distant metastasis categories. Kaplan-Meier curves were computed to assess the effects of [F]FDG-PET/CT findings on overall survival (OS) and progression-free survival. Furthermore, the agreement between PET/CT and ceCT in detecting metastases was evaluated in 119 patients on a patient-based analysis (Cohen's κ; P < 0.05). RESULTS The presence of metastatic lesions at [F]FDG-PET/CT was associated with a significantly shorter OS (P = 0.039) and progression-free survival (P < 0.001). Higher SUVmax showed a trend toward a shorter OS (P = 0.065). The K-agreement between ceCT and PET/CT in recurrent SCLC was 0.37 (P < 0.001). PET/CT and ceCT showed the same number of lesions in 52 (43.7%) patients, whereas PET/CT detected additional lesions in 35 (29.4%) patients. CONCLUSION Detection of metastatic lesions at restaging by [F]FDG-PET/CT can predict a higher rate of progression and negatively influence OS in patients with SCLC. [F]FDG-PET/CT and ceCT seem to be complementary imaging modalities in patients with metastatic SCLC.
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Affiliation(s)
- Natale Quartuccio
- Nuclear Medicine Unit, A.R.N.A.S. Ospedali Civico, Di Cristina e Benfratelli, Palermo
| | - Laura Evangelista
- Nuclear Medicine Unit, Veneto Institute of Oncology IOV - IRCCS, Padua
| | - Pierpaolo Alongi
- Department of Radiological Sciences, Nuclear Medicine Unit, Fondazione Istituto G. Giglio, Cefalù
| | - Federico Caobelli
- Clinic of Radiology and Nuclear Medicine, University Hospital Basel, University of Basel, Basel, Switzerland
| | | | - Angelina Cistaro
- Positron Emission Tomography Centre, IRMET S.p.A., Affidea, Turin
| | - Alessandro Lambertini
- Nuclear Medicine Department, S.Orsola-Malpighi Hospital, University of Bologna, Bologna
| | | | | | - Flavia Linguanti
- Nuclear Medicine Unit, Department of Experimental and Clinical Biomedical Sciences 'Mario Serio'
| | - Riccardo Laudicella
- Nuclear Medicine Unit, Department of Biomedical and Dental Sciences and Morpho-Functional Imaging, University of Messina, Messina
| | - Federica Scalorbi
- Nuclear Medicine Department, IRCCS Istituto Nazionale dei Tumori, Milano
| | | | | | - Lea Cuppari
- Nuclear Medicine Unit, Veneto Institute of Oncology IOV - IRCCS, Padua
| | - Simone Margotti
- Positron Emission Tomography Centre, IRMET S.p.A., Affidea, Turin
| | - Giacomo M Lima
- Nuclear Medicine Department, S.Orsola-Malpighi Hospital, University of Bologna, Bologna
| | - Salvatore Scalisi
- Department of Radiological Sciences, Nuclear Medicine Unit, Fondazione Istituto G. Giglio, Cefalù
| | - Sara Pacella
- Nuclear Medicine Department, Niguarda Ca' Granda Hospital
| | - Aurora Kokomani
- Nuclear Medicine Unit, Department of Experimental and Clinical Biomedical Sciences 'Mario Serio'
| | - Alfonso Ciaccio
- Nuclear Medicine Unit, Department of Experimental and Clinical Biomedical Sciences 'Mario Serio'
| | - Letterio Sturiale
- Nuclear Medicine Unit, Department of Biomedical and Dental Sciences and Morpho-Functional Imaging, University of Messina, Messina
| | - Antonio Vento
- Nuclear Medicine Unit, Department of Biomedical and Dental Sciences and Morpho-Functional Imaging, University of Messina, Messina
| | - Davide Cardile
- Nuclear Medicine Unit, Department of Biomedical and Dental Sciences and Morpho-Functional Imaging, University of Messina, Messina
| | - Sergio Baldari
- Nuclear Medicine Unit, Department of Biomedical and Dental Sciences and Morpho-Functional Imaging, University of Messina, Messina
| | - Stefano Panareo
- Unit of Nuclear Medicine, Department of Diagnostic Imaging, S. Anna University Hospital, Ferrara
| | - Stefano Fanti
- Nuclear Medicine Department, S.Orsola-Malpighi Hospital, University of Bologna, Bologna
| | | | - Orazio Schillaci
- Department of Biomedicine and Prevention, University Tor Vergata, Rome
- IRCCS Neuromed, Pozzilli (IS), Italy
| | - Agostino Chiaravalloti
- Department of Biomedicine and Prevention, University Tor Vergata, Rome
- IRCCS Neuromed, Pozzilli (IS), Italy
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