Evidence map›Paper›PMID 35453878›Full record

ReviewDiagnostics (Basel, Switzerland)2022

Radiomics of Biliary Tumors: A Systematic Review of Current Evidence.

Francesco Fiz, Visala S Jayakody Arachchige, Matteo Gionso, Ilaria Pecorella, Apoorva Selvam, Dakota Russell Wheeler, Martina Sollini, Luca Viganò

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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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.

Francesco FizDepartment of Nuclear Medicine, IRCCS Humanitas Research Hospital, 20089 Rozzano, Italy.ORCID 0000-0003-3932-1330
Visala S Jayakody ArachchigeDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20072 Milan, Italy.ORCID 0000-0003-0754-5516
Matteo GionsoDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20072 Milan, Italy.ORCID 0000-0002-1749-7418
Ilaria PecorellaDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20072 Milan, Italy.
Apoorva SelvamDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20072 Milan, Italy.ORCID 0000-0001-7865-9014
Dakota Russell WheelerDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20072 Milan, Italy.
Martina SolliniDepartment of Nuclear Medicine, IRCCS Humanitas Research Hospital, 20089 Rozzano, Italy.ORCID 0000-0003-2214-6492
Luca ViganòDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, 20072 Milan, Italy.ORCID 0000-0002-4108-4832

Funding

Italian Association for Cancer Research #2019-23822
6 · The paper itself

Abstract

Biliary tumors are rare diseases with major clinical unmet needs. Standard imaging modalities provide neither a conclusive diagnosis nor robust biomarkers to drive treatment planning. In several neoplasms, texture analyses non-invasively unveiled tumor characteristics and aggressiveness. The present manuscript aims to summarize the available evidence about the role of radiomics in the management of biliary tumors. A systematic review was carried out through the most relevant databases. Original, English-language articles published before May 2021 were considered. Three main outcome measures were evaluated: prediction of pathology data; prediction of survival; and differential diagnosis. Twenty-seven studies, including a total of 3605 subjects, were identified. Mass-forming intrahepatic cholangiocarcinoma (ICC) was the subject of most studies (n = 21). Radiomics reliably predicted lymph node metastases (range, AUC = 0.729−0.900, accuracy = 0.69−0.83), tumor grading (AUC = 0.680−0.890, accuracy = 0.70−0.82), and survival (C-index = 0.673−0.889). Textural features allowed for the accurate differentiation of ICC from HCC, mixed HCC-ICC, and inflammatory masses (AUC > 0.800). For all endpoints (pathology/survival/diagnosis), the predictive/prognostic models combining radiomic and clinical data outperformed the standard clinical models. Some limitations must be acknowledged: all studies are retrospective; the analyzed imaging modalities and phases are heterogeneous; the adoption of signatures/scores limits the interpretability and applicability of results. In conclusion, radiomics may play a relevant role in the management of biliary tumors, from diagnosis to treatment planning. It provides new non-invasive biomarkers, which are complementary to the standard clinical biomarkers; however, further studies are needed for their implementation in clinical practice.

Indexed as

biliary tumorscholangiocarcinomaprognosisradiomicstexture analysis

Identifiers

PMID35453878
PMCPMC9024804

What OpenQuestion holds

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Registered trials

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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.