Evidence map›Paper›PMID 38110909›Full record

ArticleBMC medical imaging2023

Preoperative assessment of retroperitoneal Liposarcoma using volume-based

Dao-Ning Liu, Jian-Hui Wu, Zhong-Wu Li, Hai-Yue Wang, Xiu-Yun Tian, Chun-Yi Hao

Abstract read
In one paragraph

Article in BMC medical imaging, 2023. 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. Annals of nuclear medicine · 2026
    Article
  2. Article
  3. Article
  4. Advances inWorld journal of radiology · 2025
    Review
  5. Review
  6. 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

6 authors.

Dao-Ning Liu *Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Hepato-Pancreato-Biliary Surgery/Sarcoma center, Peking University Cancer Hospital & Institute, No. 52 Fucheng Road, Haidian District, Beijing, People's Republic of China.
Jian-Hui Wu *Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Hepato-Pancreato-Biliary Surgery/Sarcoma center, Peking University Cancer Hospital & Institute, No. 52 Fucheng Road, Haidian District, Beijing, People's Republic of China.
Zhong-Wu LiKey laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Pathology, Peking University Cancer Hospital & Institute, Beijing, People's Republic of China.
Hai-Yue WangKey laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Pathology, Peking University Cancer Hospital & Institute, Beijing, People's Republic of China.
Xiu-Yun TianKey laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Hepato-Pancreato-Biliary Surgery/Sarcoma center, Peking University Cancer Hospital & Institute, No. 52 Fucheng Road, Haidian District, Beijing, People's Republic of China.
Chun-Yi HaoKey laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Hepato-Pancreato-Biliary Surgery/Sarcoma center, Peking University Cancer Hospital & Institute, No. 52 Fucheng Road, Haidian District, Beijing, People's Republic of China. haochunyi@bjmu.edu.cn.ORCID 0000-0002-1233-1689

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeRetroperitoneal liposarcoma (RLPS) poses a challenging scenario for surgeons due to its unpredictable biological behavior. Surgery remains the primary curative option for RLPS; however, the need for additional information to guide surgical strategies persists. Volume-based

methodsWe analyzed data from 89 RLPS patients, measuring metabolic tumor volume (MTV), total lesion glycolysis (TLG), and maximum standardized uptake value (SUVmax) and explored their associations with clinical, prognostic, and pathological factors.

resultsMTV, TLG of multifocal and recurrent RLPS were significantly higher than unifocal and primary ones (P < 0.001, P < 0.001, P = 0.003 and P = 0.002, respectively). SUVmax correlated with FNCLCC histological grade, mitotic count and Ki-67 index (P for G1/G2 = 0.005, P for G2/G3 = 0.017, and P for G1/G3 = 0.001, P < 0.001 and P = 0.024, respectively). MTG, TLG and SUVmax of WDLPS were significantly lower than DDLPS and PLPS (P for MTV were 0.009 and 0.022, P for TLG were 0.028 and 0.048, and P for SUVmax were 0.027 and < 0.001, respectively). Multivariable Cox analysis showed that MTV > 457.65 (P = 0.025), pathological subtype (P = 0.049) and FNCLCC histological grade (P = 0.033) were related to overall survival (OS).

conclusionsOur findings indicate that MTV is an independent prognostic factor for RLPS, while MTV, TLG, and SUVmax can preoperatively predict multifocal lesions, histological grade, and pathological subtype. Volume-based

Indexed as

Fluorodeoxyglucose F18Positron Emission Tomography Computed TomographyHumansLiposarcomaPrognosisRadiopharmaceuticalsRetroperitoneal NeoplasmsRetrospective StudiesTumor BurdenFluorodeoxyglucose F18Radiopharmaceuticals18F-FDG PET/CTDiagnosisMetabolic Tumor volumePrognosisRetroperitoneal Liposarcoma

Identifiers

PMID38110909
PMCPMC10726537

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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.