Evidence map›Paper›PMID 35402717›Full record

ArticleClinical and experimental hepatology2021

Computed tomography texture-based radiomics analysis in gallbladder cancer: initial experience.

Pankaj Gupta, Pratyaksha Rana, Balaji Ganeshan, Daneshwari Kalage, Santosh Irrinki, Vikas Gupta, Thakur Deen Yadav, Rajender Kumar, Chandan K Das, Parikshaa Gupta and 6 more

Registry-linked trialAbstract read
In one paragraph

Article in Clinical and experimental hepatology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05718115 (Deep Learning Radiogenomics For Individualized Therapy in Unresectable Gallbladder Cancer), which is not on this 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.

NCT05718115 unknown statusnot on this mapstarted 2023, after this paper: background citation

Deep Learning Radiogenomics For Individualized Therapy in Unresectable Gallbladder Cancer

TypeobservationalSponsorPost Graduate Institute of Medical Education and Research, ChandigarhRan2023 to 2023Enrolled75ConditionsGallbladder CancerArmsCT scan
3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Gallbladder cancer: Progress in the Indian subcontinent.World journal of clinical oncology · 2024
    Review
  6. Article
  7. Article
  8. Article
  9. Technological Advancements in Interventional Oncology.Diagnostics (Basel, Switzerland) · 2023
    Review
  10. Imaging patterns of wall thickening type of gallbladder cancer.Clinical and experimental hepatology · 2022
    Review
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

16 authors.

Pankaj GuptaPGIMER, Chandigarh, India.
Pratyaksha RanaPGIMER, Chandigarh, India.
Balaji GaneshanUniversity College London, UK.
Daneshwari KalagePGIMER, Chandigarh, India.
Santosh IrrinkiPGIMER, Chandigarh, India.
Vikas GuptaPGIMER, Chandigarh, India.
Thakur Deen YadavPGIMER, Chandigarh, India.
Rajender KumarPGIMER, Chandigarh, India.
Chandan K DasPGIMER, Chandigarh, India.
Parikshaa GuptaPGIMER, Chandigarh, India.
Raymond EndozoUniversity College London, UK.
Ritambhra NadaPGIMER, Chandigarh, India.
Radhika SrinivasanPGIMER, Chandigarh, India.
Naveen KalraPGIMER, Chandigarh, India.
Usha DuttaPGIMER, Chandigarh, India.
Manavjit SandhuPGIMER, Chandigarh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim of the study: To investigate computed tomography (CT) texture parameters in suspected gallbladder cancer (GBC) and assess its utility in predicting histopathological grade and overall survival. Material and methods: This retrospective pilot study included consecutive patients with clinically suspected GBC. CT images, clinical, and histological or cytological data were retrieved from the database. CT images were reviewed by two radiologists. A single axial CT section in the portal venous phase was selected for texture analysis. Radiomic feature extraction was done using commercially available research software. Results: Thirty-eight patients (31 females, mean age 53.1 years) were included. Malignancy was confirmed in 29 patients in histopathology or cytology analysis, and the rest had no features of malignancy. Exophytic gallbladder mass with associated gallbladder wall thickening was present in 22 (58%) patients. Lymph nodal, liver, and omental metastases were present in 10, 1, and 3 patients, respectively. The mean overall survival was 9.7 months. There were significant differences in mean and kurtosis at medium texture scales to differentiate moderately differentiated and poorly differentiated adenocarcinoma ( Conclusions: Our preliminary results highlight the potential utility of CT texture-based radiomics analysis in patients with GBC. Medium texture scale parameters including both mean and kurtosis, or kurtosis alone, may help predict the histological grade and survival, respectively.

Indexed as

cancerCT texture analysisgallbladderhistologyradiomics

Identifiers

PMID35402717
PMCPMC8977886

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Registered trials

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.