Evidence map›Paper›PMID 32463388›Full record

ArticleRadiology and oncology2020

Prognostic role of positron emission tomography and computed tomography parameters in stage I lung adenocarcinoma.

Angelo Carretta, Alessandro Bandiera, Piergiorgio Muriana, Stefano Viscardi, Paola Ciriaco, Ana Maria Samanes Gajate, Gianluigi Arrigoni, Chiara Lazzari, Vanesa Gregorc, Giampiero Negri

Open access · goldAbstract read
In one paragraph

Article in Radiology and oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Nonlinear association between standardized uptake value (SUV) index based onQuantitative imaging in medicine and surgery · 2026
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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

10 authors at 1 institution in 1 country.

Angelo CarrettaDepartment of Thoracic Surgery, San Raffaele Hospital, Milan, Italy.
Alessandro BandieraDepartment of Thoracic Surgery, San Raffaele Hospital, Milan, Italy.
Piergiorgio MurianaDepartment of Thoracic Surgery, San Raffaele Hospital, Milan, Italy.
Stefano ViscardiDepartment of Thoracic Surgery, San Raffaele Hospital, Milan, Italy.
Paola CiriacoDepartment of Thoracic Surgery, San Raffaele Hospital, Milan, Italy.
Ana Maria Samanes GajateDepartment of Nuclear Medicine, San Raffaele Hospital, Milan, Italy.
Gianluigi ArrigoniDepartment of Pathology, San Raffaele Hospital, Milan, Italy.
Chiara LazzariDepartment of Oncology, San Raffaele Hospital, Milan, Italy.
Vanesa GregorcDepartment of Oncology, San Raffaele Hospital, Milan, Italy.
Giampiero NegriDepartment of Thoracic Surgery, San Raffaele Hospital, Milan, Italy.
Vita-Salute San Raffaele University · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background According to the current pathological classification, lung adenocarcinoma includes histological subtypes with significantly different prognoses, which may require specific surgical approaches. The aim of the study was to assess the role of CT and PET parameters in stratifying patients with stage I adenocarcinoma according to prognosis. Patients and methods Fifty-eight patients with pathological stage I lung adenocarcinoma who underwent surgical treatment were retrospectively reviewed. Adenocarcinoma in situ and minimally-invasive adenocarcinoma were grouped as non-invasive adenocarcinoma. Other histotypes were referred as invasive adenocarcinoma. CT scan assessed parameters were: ground glass opacity (GGO) ratio, tumour disappearance rate (TDR) and consolidation diameter. The prognostic role of the following PET parameters was also assessed: standardized uptake value (SUV) max, SUVindex (SUVmax to liver SUVratio), metabolic tumour volume (MTV), total lesion glycolysis (TLG). Results Seven patients had a non-invasive adenocarcinoma and 51 an invasive adenocarcinoma. Five-year disease-free survival (DFS) and cancer-specific survival (CSS) for non-invasive and invasive adenocarcinoma were 100% and 100%, 70% and 91%, respectively. Univariate analysis showed a significant difference in SUVmax, SUVindex, GGO ratio and TDR ratio values between non-invasive and invasive adenocarcinoma groups. Optimal SUVmax, SUVindex, GGO ratio and TDR cut-off ratios to predict invasive tumours were 2.6, 0.9, 40% and 56%, respectively. TLG, SUVmax, SUVindex significantly correlated with cancer specific survival. Conclusions CT and PET scan parameters may differentiate between non-invasive and invasive stage I adenocarcinomas. If these data are confirmed in larger series, surgical strategy may be selected on the basis of preoperative imaging.

Indexed as

Positron Emission Tomography Computed TomographyAdenocarcinoma of LungAgedAged, 80 and overFemaleHumansMaleMiddle AgedNeoplasm InvasivenessNeoplasm StagingPrognosisRadiopharmaceuticalsRetrospective StudiesSurvival RateTumor BurdenRadiopharmaceuticalsadenocarcinomacomputed tomographylungPETsurgery

Identifiers

PMID32463388
PMCPMC7409601
OpenAlexW3028627948

What OpenQuestion holds

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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 OpenQuestion graph.