18 F- FDG PET/CT-derived parameters predict clinical stage and prognosis of esophageal cancer.

Mantziari, Styliani; Pomoni, Anastasia; Prior, John O.; Winiker, Michael; Allemann, Pierre; Demartines, Nicolas; Schäfer, Markus

doi:10.21203/rs.2.18946/v2

Cited by 2 publications

(2 citation statements)

References 14 publications

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“…Mantziari et al found FDG-PET/CT parameters (SUVmax, total lesion glycolysis and MTV) to be quite useful in predicting tumor recurrence and disease-free survival in patients with EC. 47 CECT may show new onset enhancing esophageal mural thickening suggestive of recurrence. Post-RT esophageal stricture occurs 3 to 8 months later and can be seen as esophageal luminal narrowing with proximal dilatation and air-fluid levels.…”

Section: Imaging Guidelinesmentioning

confidence: 99%

Imaging Recommendations for Diagnosis, Staging, and Management of Esophageal Cancer

Chakrabarty

Mahajan

Prabhash

et al. 2023

Indian J Med Paediatr Oncol

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Early staging and treatment initiation affect prognosis of patients with esophageal and esophagogastric junction cancer; hence, it is imperative to have knowledge of proper choice of imaging modality for staging of these patients, to effectively convey relevant imaging findings to the treating physician/surgeon. It is also essential to be aware of pertinent imaging findings that need to be conveyed to the treating physician/surgeon at staging, and after treatment, including post-therapy complications (if any), so as to provide timely management to such patients. In this article, we have provided imaging guidelines for diagnosis, staging, post-therapy response evaluation, follow-up, and assessment of post-therapy complications of esophageal and esophagogastric junction cancer in a systematic manner. Besides, risk factors and clinical workup have also been elucidated. We have also attached comprehensive staging and post-therapy contrast-enhanced computed tomography and fluorodeoxyglucose-positron emission tomography/computed tomography-based synoptic reporting formats “ECI-RADS” and “pECI-RADS,” respectively, for esophageal and esophagogastric junction cancer in the supplement, for effective communication of imaging findings between a radiologist and the treating physician/surgeon.

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Section: Imaging Guidelinesmentioning

confidence: 99%

Imaging Recommendations for Diagnosis, Staging, and Management of Esophageal Cancer

Chakrabarty

Mahajan

Prabhash

et al. 2023

Indian J Med Paediatr Oncol

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“…Metabolic tumor volume (MTV) and total lesion glycolysis (TLG) derived from FDG-PET/CT have been reported to be good prognostic factors for various malignant tumors [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Development and validation of a prediction model based on the organ-based metabolic tumor volume on FDG-PET in patients with differentiated thyroid carcinoma

et al. 2021

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Background: Although patients with differentiated thyroid cancer (DTC) generally have a good prognosis, patients with a large metabolic tumor volume (MTV) on FDG-PET may experience poor clinical courses. We measured organ-based MTVs and tested its prognostic performance in comparison to conventional MTV (cMTV). Methods: We retrospectively analyzed the cases of 280 patients who received their first I-131 therapy in 2003-2014 at our hospital and showed an FDG-avid metastatic lesion. We randomly divided the patients into training (n=190) and validation (n=90) datasets. We classified the MTVs as MTVneck-node, MTVdistant-node, MTVlung, MTVbone, and MTVother-organs and tested with/without dichotomization vis-à-vis overall survival (OS). Based on the estimated weighting coefficients of the organ-based MTVs, we propose a new index: the adjusted whole-body MTV (aMTV). Using the validation dataset, we compared the aMTV with cMTV for predicting OS. Results:In a univariate analysis, MTVdistant-node and MTVother-organs were more strongly correlated with the OS than the dichotomized forms, whereas the dichotomized forms of MTVneck-node, MTVlung, and MTVbone were more strongly correlated with OS than the continuous variables. The aMTV was thus expressed as 0.69 × dic(MTVneck-node) + 0.02 × MTVdistant-node + 1.05 × dic(MTVlung) + 1.58 × dic(MTVbone) + 0.01 × MTVother-organs, where dic(x) represents 0 or 1 based on the optimized cut-off. In the model evaluation using the validation group, aMTV was a significant predictor of OS with a higher c-index (0.7676) than cMTV (0.7218). Conclusion:In DTC patients with FDG-avid metastasis before I-131 therapy, all organ-based MTVs were significant predictors of prognosis. As the aMTV outperformed the cMTV for predicting prognoses, we recommend measuring the MTV on an organ basis.4

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18 F- FDG PET/CT-derived parameters predict clinical stage and prognosis of esophageal cancer.

Cited by 2 publications

References 14 publications

Imaging Recommendations for Diagnosis, Staging, and Management of Esophageal Cancer

Imaging Recommendations for Diagnosis, Staging, and Management of Esophageal Cancer

Development and validation of a prediction model based on the organ-based metabolic tumor volume on FDG-PET in patients with differentiated thyroid carcinoma

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