Evidence map›Paper›PMID 40120019›Full record

ArticleEuropean radiology experimental2025

Radiomics to predict tumor response to combination chemoradiotherapy in squamous cell carcinoma of the anal canal: a preliminary investigation.

Andrea Vanzulli, Lucilla Violetta Sciacqua, Filippo Patti, Roza Drebot, Eros Montin, Riccardo Lattanzi, Laura Anna Maria Lozza, Sergio Villa, Davide Scaramuzza

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Article in European radiology experimental, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Andrea Vanzulli *Diagnostic and Interventional Radiology Residency Program, Università degli Studi di Milano, Milan, Italy.
Lucilla Violetta Sciacqua *Diagnostic and Interventional Radiology Residency Program, Università degli Studi di Milano, Milan, Italy.
Filippo PattiDepartment of Radiation Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy. filippo.patti@istitutotumori.mi.it.ORCID http://orcid.org/0000-0001-6747-7645
Roza DrebotDepartment of Oncology and Haemato-Oncology, Università degli Studi di Milano, Milan, Italy.
Eros MontinBernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, USA.
Riccardo LattanziBernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, USA.
Laura Anna Maria LozzaDepartment of Radiation Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Sergio VillaDepartment of Radiation Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Davide ScaramuzzaDepartment of Diagnostic and Interventional Radiology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUpfront combination chemoradiotherapy (CRT) represents the standard of care for patients affected by stage III squamous cell carcinoma (SCC) of the anal canal, achieving satisfactory results both in terms of overall survival and local disease control. However, a non-negligible fraction of patients obtain incomplete responses, highlighting the need for innovative prognostic tools. We report the preliminary results of a customized radiomic algorithm designed to predict tumor response to CRT in patients affected by SCC of the anal canal.

methodsWe manually annotated pretreatment T2-weighted turbo spin-echo images of 26 consecutive patients with stage III SCC of the anal canal treated with CRT at our institution from 2012 to 2022. Each patient was classified as complete response (CR, 17 patients), or non-complete response (non-CR, 9 patients) based on the absence or presence of residual disease at imaging and endoscopy after treatment. A total of 132 three-dimensional radiomic features were extracted for each patient and fed to a dedicated machine-learning classifier.

resultsModels trained with gray-level co-occurrence matrix features achieved the best performances (accuracy 0.846 ± 0.064, sensitivity 0.900 ± 0.122, specificity 0.833 ± 0.175, area under receiver operating characteristics curve 0.867 ± 0.055), highlighting a more homogeneous distribution of voxel intensities and lower spatial complexity in non-CR patients.

conclusionOur radiomic tool accurately predicted tumor response to CRT in patients with stage III SCC of the anal canal, highlighting a more homogeneous tissue composition in poor responders. RELEVANCE STATEMENT: The more homogeneous radiomic texture observed in non-CR patients may be imputable to a dominant neoplastic clone with a relatively low mitotic index (therefore, limited tissue necrosis), intrinsically more resistant to CRT than faster-proliferating tumors. KEY POINT: A non-negligible fraction of patients with anal SCC respond unsatisfactorily to CRT. Our radiomic model predicted response to CRT based on pretreatment MRI. We observed a more homogeneous tissue composition in poor responders. The slow proliferation of a dominant clone may explain non-CR to CRT.

Indexed as

Anus NeoplasmsCarcinoma, Squamous CellChemoradiotherapyMagnetic Resonance ImagingAdultAgedAged, 80 and overAlgorithmsFemaleHumansMachine LearningMaleMiddle AgedRadiomicsRetrospective StudiesTreatment OutcomeAnal canalCarcinoma (squamous cell)Magnetic resonance imagingPrecision medicineRadiomics

Identifiers

PMID40120019
PMCPMC11929663

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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.