OBJECTIVE: The aim of this prospective study was to assess predictive value of fludeoxyglucose-positron emission tomography (FDG-PET) and computed tomography (CT) and to analyze their cost-effectiveness in several diagnosis-treatment combinations. BACKGROUND: The incidence of melanoma continues to rise. A proportion will present or recur with lymph node metastases (American Joint Committee on Cancer/Union for International Cancer Control stage III). To detect distant metastases, CT and/or FDG-PET are available. However, few studies have assessed their value and costs in stage III. METHODS: All consecutive patients with melanoma with palpable, proven lymph node metastases (2003-2008) referred for examination with FDG-PET and CT were prospectively included. Sensitivity, specificity, and accuracy, and positive predictive value (PPV) and negative predictive value (NPV) were calculated. In economic evaluation, the costs of diagnostic work-up with and without FDG-PET and CT were compared. RESULTS: Overall, 253 patients with melanoma were included. FDG-PET showed a higher sensitivity than CT: 86.1% compared with 78.2%. Specificity was higher for CT (93.7%) compared with FDG-PET (93.1%). Overall, FDG-PET showed a higher PPV and NPV. Cost-consequence analysis showed that adding CT (True-Positive upstaging in 61 patients) to diagnostic work-up decreased cost by 5.5%, adding FDG-PET (True-Positive upstaging in 68 patients) increased cost by 7.2%, and adding both (True-Positive upstaging in 78 patients) increased cost by 15.1%. CONCLUSIONS: In this study, FDG-PET had higher sensitivity and predictive value, whereas CT had a higher specificity. Adding one of these diagnostic tools improved the staging of stage III patients with less than 10% cost increase. A proposal for stage-specific use of imaging modalities for clinicians caring for patients with melanoma is presented.
OBJECTIVE: The aim of this prospective study was to assess predictive value of fludeoxyglucose-positron emission tomography (FDG-PET) and computed tomography (CT) and to analyze their cost-effectiveness in several diagnosis-treatment combinations. BACKGROUND: The incidence of melanoma continues to rise. A proportion will present or recur with lymph node metastases (American Joint Committee on Cancer/Union for International Cancer Control stage III). To detect distant metastases, CT and/or FDG-PET are available. However, few studies have assessed their value and costs in stage III. METHODS: All consecutive patients with melanoma with palpable, proven lymph node metastases (2003-2008) referred for examination with FDG-PET and CT were prospectively included. Sensitivity, specificity, and accuracy, and positive predictive value (PPV) and negative predictive value (NPV) were calculated. In economic evaluation, the costs of diagnostic work-up with and without FDG-PET and CT were compared. RESULTS: Overall, 253 patients with melanoma were included. FDG-PET showed a higher sensitivity than CT: 86.1% compared with 78.2%. Specificity was higher for CT (93.7%) compared with FDG-PET (93.1%). Overall, FDG-PET showed a higher PPV and NPV. Cost-consequence analysis showed that adding CT (True-Positive upstaging in 61 patients) to diagnostic work-up decreased cost by 5.5%, adding FDG-PET (True-Positive upstaging in 68 patients) increased cost by 7.2%, and adding both (True-Positive upstaging in 78 patients) increased cost by 15.1%. CONCLUSIONS: In this study, FDG-PET had higher sensitivity and predictive value, whereas CT had a higher specificity. Adding one of these diagnostic tools improved the staging of stage III patients with less than 10% cost increase. A proposal for stage-specific use of imaging modalities for clinicians caring for patients with melanoma is presented.
Authors: David Y Lee; Briana J Lau; Kelly T Huynh; Devin C Flaherty; Ji-Hey Lee; Stacey L Stern; Steve J O'Day; Leland J Foshag; Mark B Faries Journal: J Am Coll Surg Date: 2016-01-29 Impact factor: 6.113
Authors: Maria Danielsen; Andreas Kjaer; Max Wu; Lea Martineau; Mehdi Nosrati; Stanley Pl Leong; Richard W Sagebiel; James R Miller; Mohammed Kashani-Sabet Journal: Am J Nucl Med Mol Imaging Date: 2016-09-22
Authors: Jacqueline Dinnes; Lavinia Ferrante di Ruffano; Yemisi Takwoingi; Seau Tak Cheung; Paul Nathan; Rubeta N Matin; Naomi Chuchu; Sue Ann Chan; Alana Durack; Susan E Bayliss; Abha Gulati; Lopa Patel; Clare Davenport; Kathie Godfrey; Manil Subesinghe; Zoe Traill; Jonathan J Deeks; Hywel C Williams Journal: Cochrane Database Syst Rev Date: 2019-07-01