Evidence map›Paper›PMID 9605668›Full record

ArticleAnnals of surgery1998

Effectiveness of positron emission tomography for the detection of melanoma metastases.

W D Holder, R L White, J H Zuger, E J Easton, F L Greene

Open access · greenAbstract read
In one paragraph

Article in Annals of surgery, 1998. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 3 pooled it
7.2field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

54 citing papers in PubMed, 3 syntheses or guidelines pooled it, 266 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Meta-analysis of the performance of (18)F-FDG PET in cutaneous melanoma.European journal of nuclear medicine and molecular imaging · 2010
    Pooled it
  4. The role of interimEuropean journal of nuclear medicine and molecular imaging · 2018
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  6. Physiological 18F-FDG uptake in the ovaries and uterus of healthy female volunteers.European journal of nuclear medicine and molecular imaging · 2005
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  13. Interim [European journal of nuclear medicine and molecular imaging · 2021
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  14. Quantitative DynamicCancers · 2021
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  15. Article
  16. Longitudinal studies of theCancer immunology, immunotherapy : CII · 2018
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  18. The Value of Technetium-99m Labeled Alpha-Melanocyte-Stimulating Hormone (Asia Oceania journal of nuclear medicine & biology · 2018
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

W D HolderDepartment of Surgery, Carolinas Medical Center, Charlotte, North Carolina 28203, USA.
R L White
J H Zuger
E J Easton
F L Greene
Carolinas Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe purpose of this study was to determine the sensitivity, specificity, and clinical utility of 18F 2-fluoro-2-deoxy-D-glucose (FDG) total-body positron emission tomography (PET) scanning for the detection of metastases in patients with malignant melanoma. SUMMARY BACKGROUND DATA: Recent preliminary reports suggest that PET using FDG may be more sensitive and specific for detection of metastatic melanoma than standard radiologic imaging studies using computed tomography (CT). PET technology is showing utility in the detection of metastatic tumors from multiple primary sites including breast, lung, lymphoma, and melanoma. However, little information is available concerning the general utility, sensitivity, and specificity of PET scanning of patients with metastatic melanoma.

methodsOne hundred three PET scans done on 76 nonrandomized patients having AJCC stage II to IV melanoma were prospectively evaluated. Patients were derived from two groups. Group 1 (63 patients) had PET, CT (chest and abdomen), and magnetic resonance imaging (MRI; brain) scans as a part of staging requirements for immunotherapy protocols. Group 2 (13 nonprotocol patients) had PET, CT, and MRI scans as in group 1, but for clinical evaluation only. PET scans were done using 12 to 20 mCi of FDG given intravenously. Results of PET scans were compared to CT scans and biopsy or cytology results.

resultsPET scanning for the detection of melanoma metastases had a sensitivity of 94.2% and a specificity of 83.3% compared to 55.3% and 84.4%, respectively, for CT scanning. Factors that produced false-positive PET scans were papillary carcinoma of the thyroid (1), bronchogenic carcinoma (1), inflamed epidermal cyst (1), Warthin's tumor of the parotid gland (1), surgical wound inflammation (2), leiomyoma of the uterus (1), suture granuloma (1), and endometriosis (1). The four false-negative scans were thought to be due to smaller (<0.3 to 0.5 cm) and diffuse areas of melanoma without a mass effect.

conclusionsPET scanning is extremely sensitive (94.2%) and very specific (83.3%) for identifying metastatic melanoma, particularly in soft tissues, lymph nodes, and the liver. A number of second primary or metastatic tumors and an inflammatory response can also be localized by PET. This observation mandates a close clinical correlation with positive PET and emphasizes the importance of establishing a tissue diagnosis. False-negative scans in the presence of metastases are rare (4% of scans). Metastases < or =5 mm in diameter may not image well. PET is superior to CT in detecting melanoma metastases and has a role as a primary strategy in the staging of melanoma.

Indexed as

Fluorodeoxyglucose F18RadiopharmaceuticalsTomography, Emission-ComputedDiagnostic ErrorsHumansMelanomaProspective StudiesSensitivity and SpecificitySkin NeoplasmsFluorodeoxyglucose F18Radiopharmaceuticals

Identifiers

PMID9605668
PMCPMC1191363
OpenAlexW1974483691

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.