Evidence map›Paper›PMID 33539412›Full record

ArticlePloS one2021

Use of advanced PET-volume metrics predicts risk of local recurrence and overall survival in anal cancer.

Matthew S Susko, Ann A Lazar, Chia-Ching Jackie Wang, Katherine Van Loon, Mary Feng, Tom A Hope, Spencer Behr, Mekhail Anwar

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. [European journal of nuclear medicine and molecular imaging · 2023
    Pooled it
  2. Article
  3. 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

8 authors at 2 institutions in 1 country.

Matthew S SuskoDepartment of Radiation Oncology, University of California, San Francisco, California, United States of America.ORCID 0000-0002-8522-4585
Ann A LazarDepartment of Radiation Oncology, University of California, San Francisco, California, United States of America.
Chia-Ching Jackie WangHelen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California, United States of America.
Katherine Van LoonHelen Diller Family Comprehensive Cancer Center, University of California, San Francisco, California, United States of America.
Mary FengDepartment of Radiation Oncology, University of California, San Francisco, California, United States of America.
Tom A HopeDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, California, United States of America.
Spencer BehrDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, California, United States of America.ORCID 0000-0001-9400-0543
Mekhail AnwarDepartment of Radiation Oncology, University of California, San Francisco, California, United States of America.
University of California, San Francisco · USSan Francisco General Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAnal cancer is an uncommon malignancy with the primary treatment for localized disease being concurrent radiation and chemotherapy. Pre-treatment PET/CT is useful for target delineation, with minimal exploration of its use in prognostication. In the post-treatment setting there is growing evidence for advanced PET metrics in assessment of treatment response, and early identification of recurrence essential for successful salvage, however this data is limited to small series.

methodsPatient with non-metastatic anal cancer from a single institution were retrospectively reviewed for receipt of pre- and post-treatment PET/CTs. PET data was co-registered with radiation therapy planning CT scans for precise longitudinal assessment of advanced PET metrics including SUVmax, metabolic tumor volume (MTV), and total lesion glycolysis (TLG), for assessment with treatment outcomes. Treatment outcomes included local recurrence (LR), progression free survival (PFS), and overall survival (OS), as defined from the completed radiation therapy to the time of the event. Cox proportional hazard modeling with inverse probability weighting (IPW) using the propensity score based on age, BMI, T-stage, and radiation therapy dose were utilized for assessment of these metrics.

resultsFrom 2008 to 2017 there were 72 patients who had pre-treatment PET/CT, 61 (85%) had a single follow up PET/CT, and 35 (49%) had two follow up PET/CTs. The median clinical follow-up time was 25 months (IQR: 13-52) with a median imaging follow up time of 16 months (IQR: 7-29). On pre-treatment PET/CT higher MTV2.5 and TLG were significantly associated with higher risk of local recurrence (HR 1.11, 95% CI: 1.06-1.16, p<0.001; and HR 1.12, 95% CI: 1.05-1.19, p<0.001), and worse PFS (HR 1.09, 95% CI: 1.04-1.13, p<0.001; and HR 1.09, 95% CI: 1.03-1.12, p = 0.003) and OS (HR 1.09, 95% CI: 1.04-1.16, p = 0.001; and HR 1.11, 95% CI: 1.04-1.20, p = 0.004). IPW-adjusted pre-treatment PET/CT showed higher MTV2.5 (HR 1.09, 95% CI: 1.02-1.17, p = 0.012) and TLG (HR 1.10, 95% CI: 1.00-1.20, p = 0.048) were significantly associated with worse PFS, and post-treatment MTV2.5 was borderline significant (HR 1.16, 95% CI: 1.00-1.35, p = 0.052).

conclusionAdvanced PET metrics, including higher MTV2.5 and TLG, in the pre-treatment and post-treatment setting are significantly associated with elevated rates of local recurrence, and worse PFS and OS. This adds to the growing body of literature that PET/CT for patient with ASCC should be considered for prognostication, and additionally is a useful tool for consideration of early salvage or clinical trial of adjuvant therapies.

Indexed as

AgedAnus NeoplasmsFemaleHumansMaleMiddle AgedNeoplasm Recurrence, LocalPositron Emission Tomography Computed TomographyProportional Hazards ModelsRetrospective Studies

Identifiers

PMID33539412
PMCPMC7861457
OpenAlexW3128177601

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.