scholarly journals Comparison of different images in gross target volume delineating on VX2 nasopharyngeal transplantation tumor models.

2019 ◽  
Vol 5 (suppl) ◽  
pp. 127-127
Author(s):  
QingLian Wen ◽  
ZhangQiang Xiang
Keyword(s):  
Nasopharyngeal Carcinoma ◽  
Fdg Pet ◽  
Rabbit Model ◽  
Standardized Uptake Value ◽  
Target Volume ◽  
Ct Images ◽  
Pathological Examination ◽  
Flt Pet ◽  
Pet Ct ◽  
Fdg Pet Ct

127 Background: To determine the optimum conditions for diagnosis of nasopharyngeal carcinoma, we established VX2 rabbit model to delineate gross target volume (GTV) in different imaging methods. Methods:The orthotopic nasopharyngeal carcinoma (NPC) was established in sixteen New Zealand rabbits. After 7-days inoculation, the rabbits were examined by CT scanning and then sacrificed for pathological examination. To achieve the best delineation, different GTVs of CT, MRI, 18F-FDG PET/CT, and 18F-FLT PET/CT images were correlated with pathological GTV (GTVp). Results: We found 45% and 60% of the maximum standardized uptake value (SUVmax) as the optimal SUV threshold for the target volume of NPC in 18F-FDG PET/CT and 18F-FLT PET/CT images, respectively (GTVFDG45% and GTVFLT60%). Moreover, the GTVMRI and GTVCT were significantly higher than the GTVp ( P ≤ 0.05), while the GTVFDG45% and especially GTVFLT60% were similar to the GTVp ( R = 0.892 and R = 0.902, respectively; P ≤ 0.001). Conclusions: Notably, the results suggested that 18F-FLT PET/CT could reflect the tumor boundaries more accurately than 18F-FDG PET/CT, MRI and CT, which makes 18F-FLT PET-CT more advantageous for the clinical delineation of the target volume in NPC. Keywords: Nasopharyngeal carcinoma; Gross tumor volume; Magnetic resonance imaging, Computed tomography; 18F-FLT PET/CT; 18F-FDG PET/CT

Prognostic Impact of Standardized Uptake Value of F-18 FDG PET/CT in Nasopharyngeal Carcinoma

2011 ◽  
Vol 36 (11) ◽  
pp. 1007-1011 ◽  
Author(s):  
Winnie K. S. Chan ◽  
Dora Lai-Wan Kwong ◽  
David W. C. Yeung ◽  
Bingsheng Huang ◽  
Pek-Lan Khong
Keyword(s):  
Nasopharyngeal Carcinoma ◽  
Fdg Pet ◽  
Standardized Uptake Value ◽  
Prognostic Impact ◽  
Pet Ct ◽  
Fdg Pet Ct

SUVmax of FDG PET-CT Can Be Used As An Identifier of Lesion for AI To Interpret Radiology Reports

2020 ◽  
Author(s):  
Kenji Hirata ◽  
Osamu Manabe ◽  
Keiichi Magota ◽  
Sho Furuya ◽  
Tohru Shiga ◽  
...  
Keyword(s):  
Fdg Pet ◽  
Standardized Uptake Value ◽  
Local Maximum ◽  
Ct Images ◽  
Whole Body ◽  
Training Dataset ◽  
Imaging Biomarkers ◽  
Radiology Reports ◽  
Pet Ct ◽  
Fdg Pet Ct

Abstract Background Radiology reports contribute not only to the particular patient, but also to constructing massive training dataset in the era of artificial intelligence (AI). The maximum standardized uptake value (SUVmax) is often described in daily radiology reports of FDG PET-CT. If SUVmax can be used as an identifier of lesion, that would greatly help AI interpret radiology reports. We aimed to clarify whether the lesion can be localized using SUVmax written in radiology reports.Methods The institutional review board approved this retrospective study. We investigated a total of 112 lesions from 30 FDG PET-CT images acquired with 3 different scanners. SUVmax was calculated from DICOM files based on the latest Quantitative Imaging Biomarkers Alliance (QIBA) publication. The voxels showing the given SUVmax were exhaustively searched in the whole-body images and counted. SUVmax was provided with 5 different degrees of precision: integer (e.g., 3), 1st decimal places (DP) (3.1), 2nd DP (3.14), 3rd DP (3.142), and 4th DP (3.1416). For instance, when SUVmax=3.14 was given, the voxels with 3.135≤SUVmax<3.145 were extracted. We also evaluated whether local maximum restriction could improve the identifying performance, where only the voxels showing the highest intensity within some neighborhood were considered. We defined that “identical detection” was achieved when only single voxel satisfied the criterion.Results A total of 112 lesions from 30 FDG PET-CT images were investigated. SUVmax ranged from 1.3 to 49.1 (median = 5.6, IQR = 5.2). Generally, when larger and more precise SUVmax values were given, fewer voxels satisfied the criterion. The local maximum restriction was very effective. When SUVmax was determined to 4 decimal places (e.g., 3.1416) and the local maximum restriction was applied, identical detection was achieved in 33.3% (lesions with SUVmax<2), 79.5% (2≤SUVmax<5), and 97.8% (5≤SUVmax) of lesions.Conclusions SUVmax of FDG PET-CT can be used as an identifier to localize the lesion if precise SUVmax is provided and local maximum restriction was applied, although the lesions showing SUVmax<2 were difficult to identify. The proposed method may have potential to make use of radiology reports retrospectively for constructing training datasets for AI.

FDG-PET/CT imaging for staging and definition of tumor volumes in radiation treatment planning in non-small cell lung cancer

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. 7574-7574 ◽  
Author(s):  
Y. Xu ◽  
S. Ma ◽  
D. Yu ◽  
J. Wang ◽  
L. Zhang ◽  
...  
Keyword(s):  
Treatment Planning ◽  
Fdg Pet ◽  
Radiation Treatment ◽  
Target Volume ◽  
Ct Images ◽  
Planning System ◽  
Treatment Planning System ◽  
Volume Delineation ◽  
Pet Ct ◽  
Fdg Pet Ct

7574 Background: 18F-fluorodeoxyglucose (FDG)-positron emission tomography (PET) /computed tomography (CT) has a potential improvement for staging and radiation treatment (RT) planning of various tumor sites. But from a clinical standpoint, the open questions are essentially the following: to what extent does PET/CT change the target volume? Can PET/CT reduce inter-observer variability in target volume delineation? We analyzed the use of FDG-PET/ CT images for staging and evaluated the impact of FDG- PET/CT on the radiotherapy volume delineation compared with CT in patients with non-small cell lung cancer (NSCLC) candidates for radiotherapy. Intraobserver variation in delineating tumor volumes was also observed. Methods: Twenty-three patients with stage I-III NSCLC were enrolled in this pilot study and were treated with fractionated RT based therapy with or without chemotherapy. FDG-PET/CT scans were acquired within 2 weeks prior to RT. PET and CT data sets were sent to the treatment planning system Pinnacle through compact disc. The CT and PET images were subsequently fused by means of a dedicated radiation treatment planning system. Gross Tumor Volume (GTV) was contoured by four radiation oncologists respectively on CT (CT-GTV) and PET/CT images (PET/CT-GTV). The resulting volumes were analyzed and compared. Results: For the first phase, two radiation oncologists outlined together the contours achieving a final consensus. Based on PET/CT, changes in TNM categories occurred in 8/23 cases (35%). Radiation targeting with fused FDG-PET and CT images resulted in alterations in radiation therapy planning in 12/20 patients (60%) by comparison with CT targeting. The most prominent changes in GTV have been observed in cases with atelectasis. For the second phase was four intraobserver variation in delineating tumor volumes. The mean ratio of largest to smallest CT-based GTV was 2.31 (range 1.01–5.96). The addition of the PET data reduced the mean ratio to 1.46 (range 1.12–2.27). Conclusions: PET/CT fusion images could have a potential impact on both tumor staging and treatment planning. Implementing matched PET/CT reduced observer variation in delineating tumor volumes significantly with respect to CT only. [Table: see text]

scholarly journals A Preliminary Study to Use SUVmax of FDG PET-CT as an Identifier of Lesion for Artificial Intelligence

2021 ◽  
Vol 8 ◽  
Author(s):  
Kenji Hirata ◽  
Osamu Manabe ◽  
Keiichi Magota ◽  
Sho Furuya ◽  
Tohru Shiga ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Fdg Pet ◽  
Standardized Uptake Value ◽  
Local Maximum ◽  
Ct Images ◽  
Whole Body ◽  
Imaging Biomarkers ◽  
Pet Ct ◽  
Preliminary Study ◽  
Fdg Pet Ct

Background: Diagnostic reports contribute not only to the particular patient, but also to constructing massive training dataset in the era of artificial intelligence (AI). The maximum standardized uptake value (SUVmax) is often described in daily diagnostic reports of [18F] fluorodeoxyglucose (FDG) positron emission tomography (PET) – computed tomography (CT). If SUVmax can be used as an identifier of lesion, that would greatly help AI interpret diagnostic reports. We aimed to clarify whether the lesion can be localized using SUVmax strings.Methods: The institutional review board approved this retrospective study. We investigated a total of 112 lesions from 30 FDG PET-CT images acquired with 3 different scanners. SUVmax was calculated from DICOM files based on the latest Quantitative Imaging Biomarkers Alliance (QIBA) publication. The voxels showing the given SUVmax were exhaustively searched in the whole-body images and counted. SUVmax was provided with 5 different degrees of precision: integer (e.g., 3), 1st decimal places (DP) (3.1), 2nd DP (3.14), 3rd DP (3.142), and 4th DP (3.1416). For instance, when SUVmax = 3.14 was given, the voxels with 3.135 ≤ SUVmax &lt; 3.145 were extracted. We also evaluated whether local maximum restriction could improve the identifying performance, where only the voxels showing the highest intensity within some neighborhood were considered. We defined that “identical detection” was achieved when only single voxel satisfied the criterion.Results: A total of 112 lesions from 30 FDG PET-CT images were investigated. SUVmax ranged from 1.3 to 49.1 (median = 5.6). Generally, when larger and more precise SUVmax values were given, fewer voxels satisfied the criterion. The local maximum restriction was very effective. When SUVmax was determined to 4 decimal places (e.g., 3.1416) and the local maximum restriction was applied, identical detection was achieved in 33.3% (lesions with SUVmax &lt; 2), 79.5% (2 ≤ SUVmax &lt; 5), and 97.8% (5 ≤ SUVmax) of lesions.Conclusion: In this preliminary study, SUVmax of FDG PET-CT could be used as an identifier to localize the lesion if precise SUVmax is provided and local maximum restriction was applied, although the lesions showing SUVmax &lt; 2 were difficult to identify. The proposed method may have potential to make use of diagnostic reports retrospectively for constructing training datasets for AI.

SU-D-110-06: Delineation of Target Volume Based on FDG PET-CT Images and Its Effect on Tumor and Normal Tissue Doses

2011 ◽  
Vol 38 (6Part3) ◽  
pp. 3388-3388
Author(s):  
T De La Fuente Herman ◽  
H Ortega ◽  
S Thompson ◽  
T Herman ◽  
S Ahmad
Keyword(s):  
Fdg Pet ◽  
Normal Tissue ◽  
Target Volume ◽  
Ct Images ◽  
Pet Ct ◽  
Fdg Pet Ct

scholarly journals [18F] FDG PET/CT and Head and Neck MRI in the Diagnosis and Prognosis of Moroccan Patients With Nasopharyngeal Carcinoma

2021 ◽  
Author(s):  
Amina Gihbid ◽  
Ghofrane Cherkaoui Salhi ◽  
Imane El alami ◽  
Hasnaa Belgadir ◽  
Jaafar Ibnohoud ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Nasopharyngeal Carcinoma ◽  
Head And Neck ◽  
Fdg Pet ◽  
Standardized Uptake Value ◽  
Tnm Staging ◽  
Metabolic Parameters ◽  
Pet Ct ◽  
Fdg Pet Ct ◽  
Moroccan Patients

Abstract Purpose: While nasopharyngeal carcinoma (NPC) management in Morocco is still based on conventional work-ups: a head and neck computed tomography (HN-CT), thoracic and abdominal CT and bone scan, the combination of HN magnetic resonance imaging (HN-MRI) and 2-Deoxy-2-[18F] fluoro-D-glucose positron emission tomography/computed tomography ([18F] FDG PET/CT) is now widely used in the diagnostic and follow-up of this malignancy.Methods: In this prospective study, [18F] FDG PET/CT and HN-MRI outcomes of 117 NPC patients diagnosed between January 2017 and December 2018 were investigated in order to assess their usefulness in routine management of Moroccan patients with NPC. The concordance between HN-MRI and [18F] FDG PET/CT in Tumor (T) and Nodal (N) classification was assessed and the association between [18F] FDG PET/CT metabolic parameters (Tumor- maximum standardized uptake value (T-SUV max), Nodal (N-SUV max), node-to-tumor SUV ratio (NTR) and distant metastasis (M-SUV max), TNM staging system, NPC stages and patient’s survival outcomes was evaluated. Results: Our results showed a moderate concordance between T-TEP and T-MRI categories with a Cohen kappa coefficient (k) at 0.45, and a mediocre concordance between N-TEP and N-MRI (k=0.3). Metabolic parameters of the [18F] FDG PET/CT were assessed; N-SUV max values were significantly higher in patients with advanced nodal involvement, with a mean of 7.4, 9.7 and 11.0 for patients with N1, N2 and N3 nodal categories, respectively (p<0.05). overall, N-SUV max, NTR were independent prognostic markers for overall survival and progression free survival in Moroccan NPC patients (p<0.05).Conclusion: Our findings provide additional evidence into the complementary roles of HN-MRI and [18F] FDG PET/CT in TNM and overall staging of NPC. To the best of our knowledge, this is the first Moroccan study to highlight N-SUV max and NTR derived from [18F] FDG-PET/CT as promising metabolic biomarkers for NPC prognosis.

scholarly journals 18F-FDG PET/CT features of ureteral metastases from breast cancer: a case report

2021 ◽  
Vol 49 (5) ◽  
pp. 030006052110140
Author(s):  
Yuanbi Huang ◽  
Huajie He ◽  
Wei Wei ◽  
Qiguang Li ◽  
Xian Long ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Fdg Pet ◽  
Cancer Metastasis ◽  
Standardized Uptake Value ◽  
Tamoxifen Treatment ◽  
Pathological Examination ◽  
Imaging Features ◽  
Pet Ct ◽  
18F Fdg ◽  
Fdg Pet Ct

Breast cancer metastasis to the ureter is rare. Fluorine-18-fluorodeoxyglucose positron emission tomography (18F-FDG PET)/computed tomography (CT) is widely used to identify primary lesions of metastatic tumours, however, 18F-FDG PET/CT imaging features of ureteral metastasis from breast cancer are rarely reported. Herein, the case of a 46-year-old woman with recurrent left flank pain for 5 months, who was admitted to the Cancer Hospital of Guangxi Medical University and Guangxi Cancer Research Institute, is described. She had undergone right radical mastectomy 5 years previously and had received tamoxifen treatment for 5 years. Assessment by 18F-FDG PET/CT revealed tumours on the ureter presenting as a long segmental lesion, radioactive concentrations, and a low maximum standardized uptake value (SUVmax), with no radioactive concentrations in the urine and no significant change in the ureteral contour. The severity of the ureteral lesion was not consistent with the severity of hydronephrosis. A tumour biopsy was performed laparoscopically, and postoperative pathological examination confirmed a primary breast cancer tumour. The patient did not consent to treatment and was lost to follow-up.

O26. A review on target volume delineation using FDG-PET/CT images for radiation oncology

2016 ◽  
Vol 32 ◽  
pp. 149
Author(s):  
M. du Toit ◽  
A. Potgieter ◽  
M. Heunis ◽  
R. Boellaard ◽  
J. Pruim
Keyword(s):  
Radiation Oncology ◽  
Fdg Pet ◽  
Target Volume ◽  
Ct Images ◽  
Target Volume Delineation ◽  
Volume Delineation ◽  
Pet Ct ◽  
Fdg Pet Ct
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