Literature DB >> 26575392

18F-FDG-PET/CT therapy assessment of locally advanced pancreatic adenocarcinoma: impact on management and utilization of quantitative parameters for patient survival prediction.

Sara Sheikhbahaei1, Rick Wray, Brenda Young, Esther Mena, Mehdi Taghipour, Arman Rahmim, Rathan M Subramaniam.   

Abstract

OBJECTIVES: This study aims to evaluate the impact of therapy assessment PET/computed tomography (CT) scan on the management of locally advanced pancreatic adenocarcinoma (LAPC), and the value of qualitative versus quantitative PET/CT interpretation for patient outcome prediction.
MATERIALS AND METHODS: Forty-two LAPC patients were retrospectively included. PET/CT was performed at a median of 4.6 weeks after completion of chemo ± radiotherapy to assess the primary treatment response. PET was interpreted visually using a qualitative five-point scale (Hopkins criteria for therapy assessment). Quantitative PET parameters including maximum and peak standardized uptake value (SUV max and SUV peak), total lesion glycolysis, and metabolic tumor volume (MTV) were also measured using the gradient segmentation method. Kaplan-Meier and Cox regression analyses were performed.
RESULTS: Thirty-five patients were followed up until death. Therapy assessment PET/CT led to a change in the overall management of 22 (52.4%) patients, prompting surgical resection (eight patients), adding radiation therapy (eight patients), or starting palliative chemotherapy (six patients). The median survival in patients with a negative or a positive PET scan, according to the Hopkins criteria, was 14.6 and 8.7 months, respectively (P=0.06). The median quantitative thresholds of SUV peak 2.64 [hazard ratio (HR)=2.67, P=0.03], total lesion glycolysis 44.0 g (HR=2.64, P=0.005), and MTV 24.7 ml (HR=2.57, P=0.008) were significant predictors of overall survival. Using combined quantitative scoring, patients with high SUV peak and high MTV (>median cut point) had a 5.45-fold (95% confidence interval: 1.76-16.87) increased risk for death compared with those with both low SUV peak and MTV (the reference group).
CONCLUSION: PET-based volumetric parameters can predict survival outcomes of patients with LAPC. A combined quantitative PET/CT scoring system provides significantly improved prognostication.

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Year:  2016        PMID: 26575392     DOI: 10.1097/MNM.0000000000000436

Source DB:  PubMed          Journal:  Nucl Med Commun        ISSN: 0143-3636            Impact factor:   1.690


  8 in total

1.  Semiquantitative Parameters in PSMA-Targeted PET Imaging with 18F-DCFPyL: Variability in Normal-Organ Uptake.

Authors:  Xin Li; Steven P Rowe; Jeffrey P Leal; Michael A Gorin; Mohamad E Allaf; Ashley E Ross; Kenneth J Pienta; Martin A Lodge; Martin G Pomper
Journal:  J Nucl Med       Date:  2016-12-08       Impact factor: 10.057

2.  Clinical Indications and Impact on Management: Fourth and Subsequent Posttherapy Follow-up 18F-FDG PET/CT Scans in Oncology Patients.

Authors:  Mehdi Taghipour; Charles Marcus; Sara Sheikhbahaei; Esther Mena; Shwetha Prasad; Abhinav K Jha; Lilja Solnes; Rathan M Subramaniam
Journal:  J Nucl Med       Date:  2016-11-03       Impact factor: 10.057

3.  Impact of image reconstruction methods on quantitative accuracy and variability of FDG-PET volumetric and textural measures in solid tumors.

Authors:  Ali Ketabi; Pardis Ghafarian; Mohammad Amin Mosleh-Shirazi; Seyed Rabi Mahdavi; Arman Rahmim; Mohammad Reza Ay
Journal:  Eur Radiol       Date:  2018-10-02       Impact factor: 5.315

4.  LSL-KrasG12D; LSL-Trp53R172H/+; Ink4flox/+; Ptf1/p48-Cre mice are an applicable model for locally invasive and metastatic pancreatic cancer.

Authors:  Lixiang Ma; Hexige Saiyin
Journal:  PLoS One       Date:  2017-05-05       Impact factor: 3.240

5.  The 18F-FDG PET/CT response to radiotherapy for patients with spinal metastasis correlated with the clinical outcomes.

Authors:  Jinhyun Choi; Jun Won Kim; Tae Joo Jeon; Ik Jae Lee
Journal:  PLoS One       Date:  2018-09-28       Impact factor: 3.240

Review 6.  RESISTing the Need to Quantify: Putting Qualitative FDG-PET/CT Tumor Response Assessment Criteria into Daily Practice.

Authors:  J G Peacock; C T Christensen; K P Banks
Journal:  AJNR Am J Neuroradiol       Date:  2019-11-28       Impact factor: 4.966

7.  Performance of Multiparametric Functional Imaging and Texture Analysis in Predicting Synchronous Metastatic Disease in Pancreatic Ductal Adenocarcinoma Patients by Hybrid PET/MR: Initial Experience.

Authors:  Jing Gao; Xinyun Huang; Hongping Meng; Miao Zhang; Xiaozhe Zhang; Xiaozhu Lin; Biao Li
Journal:  Front Oncol       Date:  2020-02-25       Impact factor: 6.244

8.  Basal microvilli define the metabolic capacity and lethal phenotype of pancreatic cancer.

Authors:  Xu Han; Lixiang Ma; Jichun Gu; Dansong Wang; Ji Li; Wenhui Lou; Hexige Saiyin; Deliang Fu
Journal:  J Pathol       Date:  2021-01-22       Impact factor: 7.996

  8 in total

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