Evidence map›Paper›PMID 39593175›Full record

ArticleCancer imaging : the official publication of the International Cancer Imaging Society2024

Challenging the significance of SUV-based parameters in a large-scale retrospective study on lung lesions.

Cristiano Pini, Margarita Kirienko, Fabrizia Gelardi, Paola Bossi, Daoud Rahal, Luca Toschi, Gaia Ninatti, Marcello Rodari, Giuseppe Marulli, Lidija Antunovic and 3 more

Abstract read
In one paragraph

Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Using [Cancers · 2025
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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

13 authors.

Cristiano PiniNuclear Medicine, IRCCS San Raffaele Hospital, Milan, Italy.ORCID http://orcid.org/0000-0003-1098-6961
Margarita KirienkoFondazione IRCCS Istituto Nazionale Dei Tumori, Milan, Italy.ORCID http://orcid.org/0000-0002-3923-1151
Fabrizia GelardiDepartment of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini, 4, 20072 - Pieve, Emanuele, Italy. gelardi.fabrizia@hsr.it.ORCID http://orcid.org/0000-0001-7120-333X
Paola BossiDepartment of Pathology, IRCCS Humanitas Research Hospital, Milan, Italy.ORCID http://orcid.org/0000-0003-2024-6668
Daoud RahalDepartment of Pathology, IRCCS Humanitas Research Hospital, Milan, Italy.ORCID http://orcid.org/0000-0002-5579-7550
Luca ToschiMedical Oncology and Haematology Unit, IRCCS Humanitas Research Hospital, Milan, Italy.ORCID http://orcid.org/0000-0002-4023-7542
Gaia NinattiNuclear Medicine, IRCCS San Raffaele Hospital, Milan, Italy.ORCID http://orcid.org/0000-0001-8207-1256
Marcello RodariNuclear Medicine Unit, IRCCS Humanitas Research Hospital, Milan, Italy.ORCID http://orcid.org/0000-0002-9419-8964
Giuseppe MarulliDepartment of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini, 4, 20072 - Pieve, Emanuele, Italy.ORCID http://orcid.org/0000-0001-6570-615X
Lidija AntunovicNuclear Medicine, IRCCS San Raffaele Hospital, Milan, Italy.ORCID http://orcid.org/0000-0003-1832-1083
Arturo ChitiNuclear Medicine, IRCCS San Raffaele Hospital, Milan, Italy.ORCID http://orcid.org/0000-0002-5806-1856
Emanuele Voulaz *Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini, 4, 20072 - Pieve, Emanuele, Italy.ORCID http://orcid.org/0000-0002-9091-6797
Martina Sollini *Nuclear Medicine, IRCCS San Raffaele Hospital, Milan, Italy.ORCID http://orcid.org/0000-0003-2214-6492

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough many well-known factors affect the maximum standardized uptake value (SUVmax), it remains the most requested and used parameter, especially among clinicians, despite other parameters, such as the standardized uptake value corrected for lean body mass and the metabolic tumor volume, being proven to be less sensitive to the same factors, more robust, and eventually more informative. This study intends to provide robust evidence regarding the diagnostic and prognostic value of SUVmax in a large cohort of subjects with suspected malignant lung nodules imaged by [ MATERIALS AND

methodsWe performed a retrospective analysis of patients with suspected/confirmed primary lung tumours undergoing [18F]FDG PET/CT. The sample size was 567 patients. Demographics, imaging, surgical, histological, and follow-up data were collected. SUVmax was analysed according to histology, stage, scanner, and outcome. The impact on measured values of different reconstruction protocols was assessed. All potential predictors of patients' outcome were assessed.

results91% cases were primary lung tumours. Lung benign nodules or metastases accounted for 5% and 4% of cases. Most patients presented with adenocarcinoma (70%) and stage I disease (51%); 144 patients relapsed and 55 died. SUVmax failed to effectively differentiate benign lesions from primary tumours or metastases. Stage I patients presented lower SUVmax. SUVmax significantly correlated with patient weight, injected [

conclusionOur study confirms that SUVmax, though widely employed, present relevant limitations in discriminating between benign lesion and lung cancer, in classifying cancer histotypes, and in predicting patient outcomes independently. Known influencing factors significantly impact on numerical values, thus SUV values should be regarded with caution in clinical practice.

Indexed as

Fluorodeoxyglucose F18Lung NeoplasmsPositron Emission Tomography Computed TomographyRadiopharmaceuticalsAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesFluorodeoxyglucose F18Radiopharmaceuticals[18F]FDGBiomarkerLung lesionsPositron emission tomographyPrognosisStandardised uptake value

Identifiers

PMID39593175
PMCPMC11600847

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.