Evidence map›Paper›PMID 33651265›Full record

ArticleJournal of gastrointestinal cancer2022

The Predictive Value of Baseline Volumetric PET/CT Parameters on Treatment Response and Prognosis in Locally Advanced Rectal Cancer Treated with Neoadjuvant Chemoradiotherapy.

Abdullah Sakin, Suleyman Sahin, Sevda Saglampınar Karyagar, Savas Karyagar, Mustafa Atci, Mustafa Halil Akboru, Sener Cihan

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of gastrointestinal cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. BaselineAnnals of nuclear medicine · 2026
    Article
  4. A simple MRI/PET-derived index predicts relapse-free survival after neoadjuvant chemoradiotherapy in locally advanced rectal cancer.Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. PET/MRI in colorectal and anal cancers: an update.Abdominal radiology (New York) · 2023
    Review
  10. 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

7 authors.

Abdullah SakinDepartment of Medical Oncology, Yuzuncu Yil University Medical School, 65030, Van, Turkey. drsakin@hotmail.com.ORCID http://orcid.org/0000-0003-2538-8569
Suleyman SahinDepartment of Medical Oncology, University of Health Sciences, Van Training and Research Hospital, Van, Turkey.ORCID http://orcid.org/0000-0001-9769-2565
Sevda Saglampınar KaryagarDepartment of Nuclear Medicine, University of Health Sciences, Prof. Dr Cemil, Tascıoglu City Hospital, İstanbul, Turkey.ORCID http://orcid.org/0000-0002-6356-8280
Savas KaryagarDepartment of Nuclear Medicine, University of Health Sciences, Prof. Dr Cemil, Tascıoglu City Hospital, İstanbul, Turkey.ORCID http://orcid.org/0000-0002-3259-9666
Mustafa AtciDepartment of Medical Oncology, University of Health Sciences, Prof. Dr Cemil, Tascıoglu City Hospital, 34384, Istanbul, Turkey.ORCID http://orcid.org/0000-0002-1300-3695
Mustafa Halil AkboruDepartment of Radiation Oncology, University of Health Sciences, Prof. Dr Cemil, Tascıoglu City Hospital, 34384, Istanbul, Turkey.ORCID http://orcid.org/0000-0003-0412-4273
Sener CihanDepartment of Medical Oncology, University of Health Sciences, Prof. Dr Cemil, Tascıoglu City Hospital, 34384, Istanbul, Turkey.ORCID http://orcid.org/0000-0002-3960-4982

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate the prognostic effects of baseline volumetric PET/CT parameters including the maximum standard uptake value (SUVmax), metabolic tumor volume (MTV), and tumor lesion glycolysis (TLG) on treatment response and prognosis in locally advanced rectal cancer (LARC) treated with neoadjuvant chemoradiotherapy (NACRT).

methodsBetween 2015 and 2018, 51 patients with LARC treated with NACRT followed by surgery were included in this retrospective study. Patients were divided into 2 groups by tumor regression grade (TRG) as follows: group I = TRG 1 (no detectable cancer cells) + TRG 2 (single cells and/or small groups of cancer cells) and group II = TRG3 (residual tumor outgrown by fibrosis) + TRG 4 (remarkable fibrosis outgrown by tumor cells) + TRG 5 (no fibrosis with extensive residual cancer).

resultsOf the 51 patients, 34 (66.7%) were male. The median age was 55 (range, 37-78) years. According to TRG status, 14 (27.4%) patients were in group I and 37 (72.6%) patients were in group II. The area under the curve (95% CI) was 0.749 (0.593-0.905) in the ROC curve plotted for MTV. The cut-off value for MTV was 12, with 70% sensitivity and 65% specificity. MTV was ≥ 12 in 32 (62.8%) patients. MTV and TLG values were significantly different between groups I and II, whereas there was no significant difference between the groups in terms of SUVmax values (p = 0.006, p = 0.033, and p = 0.673, respectively). The disease-free survival was not reached in patients with MTV < 12 vs. 20 months in those with MTV ≥ 12 (p = 0.323). In multivariate analysis, MTV (OR, 95% Cl, 5.00 [1.17-21.383]) was found to be the factor that affected pathological complete response.

conclusionIn LARC treated with NACRT, MTV prior to treatment can help predict the response to treatment.

Indexed as

Neoplasms, Second PrimaryRectal NeoplasmsAdultAgedChemoradiotherapyFemaleFibrosisFluorodeoxyglucose F18HumansMaleMiddle AgedNeoadjuvant TherapyPositron-Emission TomographyPositron Emission Tomography Computed TomographyPrognosisRadiopharmaceuticalsFluorodeoxyglucose F18RadiopharmaceuticalsMetabolic tumor volumeNeoadjuvant chemoradiotherapyPET/CTRectal cancerTumor lesion glycolysisVolumetric parameters

Identifiers

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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.