Evidence map›Paper›PMID 32444915›Full record

ArticleSkeletal radiology2020

Le Song, Songbo Han, Weifang Zhang, Liang Jiang

Abstract read
PubMed Publisher
In one paragraph

Article in Skeletal radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

4 authors at 2 institutions in 1 country.

Le SongDepartment of Nuclear Medicine, Peking University Third Hospital, Beijing, 100191, People's Republic of China.
Songbo HanDepartment of Radiology, Peking University Third Hospital, Beijing, 100191, People's Republic of China.
Weifang ZhangDepartment of Nuclear Medicine, Peking University Third Hospital, Beijing, 100191, People's Republic of China. tsy1997@126.com.
Liang JiangDepartment of Orthopedics, Peking University Third Hospital, Beijing, 100191, People's Republic of China. jiangliang@bjmu.edu.cn.
Peking University Third Hospital · CNPeking University · CN

Funding

National Major Science and Technology Projects of China 2016YFC0103705
6 · The paper itself

Abstract

objectiveTo investigate the value of MATERIALS AND

methodsThe PET/CT and clinical data of 16 patients with spinal GCTs were reviewed. The maximal standardized uptake value (SUVmax), longest diameter, and CT features of spinal GCTs were analyzed. The value of PET/CT and MRI in displaying the recurrent lesions was compared. PET Response Criteria in Solid Tumors were adopted to evaluate the response to radiotherapy.

resultsData from 7 males and 9 females (median age 32.5 years) were analyzed. Eight patients had primary GCTs with a median SUVmax of 11.91 and a median length of 4.42 cm. Eight patients had relapsed GCTs with a median SUVmax of 10.34 and a median length of 6.23 cm. There was no statistical difference between the SUVmax of primary and relapsed GCTs. The SUVmax did not correlate with length. In 8 relapsed patients, 4 lesions invaded the vertebral canal, but 2 of which were not displayed on MRI. Metal prostheses showed extremely low signal intensity on MRI, even in the 3 cases with increased intra-prosthetic

conclusionsBoth the primary and recurrent spinal GCTs avidly accumulate

Indexed as

Fluorodeoxyglucose F18Giant Cell TumorsPositron Emission Tomography Computed TomographyAdultFemaleHumansMaleNeoplasm Recurrence, LocalPositron-Emission TomographyRadiopharmaceuticalsFluorodeoxyglucose F18Radiopharmaceuticals18F-fluorodeoxyglucoseGiant cell tumorsPET/CTVertebral

Identifiers

PMID32444915
OpenAlexW3026198518

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.