Gastrointestinal Radiology

MRI-based ML model shows promise in colorectal cancer subtyping

By Amerigo Allegretto

A machine-learning model based on MRI radiomics achieved high performance in predicting colorectal cancer subtypes.

May 19, 2026

Overview of the study design, including data collection, radiomics model construction, and biologic interpretation. (A) The primary cohort for model development and evaluation in the training and internal test sets includes 168 patients with colorectal cancer (CRC) from center 1 (Fudan University Shanghai Cancer Center), whereas external testing was performed using data from 85 patients from centers 2 (Huashan Hospital, Fudan University) and 3 (Zhongshan Hospital, Fudan University). For model interpretation, RNA sequencing (RNA-seq) data from 18 patients with CRC in center 1 and single-cell data from 35 patients from the Gene Expression Omnibus (GEO) database are incorporated. Mismatch repair (MMR) protein expression, obtained from pathologic reports in electronic medical records (EMRs), was used to identify patients with consensus molecular subtype 1 (CMS1) CRC. Tissue microarrays (TMAs) from surgically obtained CRC tissues were analyzed for immunohistochemical staining of caudal-type homeobox 2 (CDX2), 5-hydroxytryptamine receptor 2B (HTR2B), FERM domain containing 6 (FRMD6), and zinc finger E-box binding homeobox 1 (ZEB1), and the results were subsequently entered into an online classification tool that assigned patients to CMS2, 3, or 4 subtypes. (B) Radiomics workflow for CMS4 prediction. Lesions were manually delineated on T2-weighted imaging (T2WI) and contrast-enhanced (CE) T1-weighted imaging (T1WI), followed by radiomics feature extraction. Feature selection and model development were performed in the training set using machine-learning algorithms with fivefold cross-validation for model selection, and the final model was evaluated in the internal and external test sets using receiver operating characteristic (ROC) curve analysis. (C) Transcriptomic interpretation workflow. Using the radiomics-predicted CMS4 classification, bulk RNA sequencing (RNA-seq) data were used to perform differential expression analysis between predicted CMS4 and non-CMS4 groups, followed by pathway enrichment analyses to assess biologic relevance. Public single-cell RNA sequencing data from the Gene Expression Omnibus database were then used for cell-type–level interrogation to support interpretation of the associated pathways.

Olympus, Canon launch Aplio endoscopic ultrasound system in U.S.

By AuntMinnie.com staff writers

Companies highlight single EUS-guided workflow.

May 1, 2026

CT reveals new use for Coca-Cola: Dissolving fecalomas

By Kate Madden Yee

CT imaging helped diagnose a large fecaloma and track a patient's response to a Coca-Cola enema to dissolve it.

April 22, 2026

ARRS: Ultrasound leads post-liver transplant monitoring

By Amerigo Allegretto

Significant variability persists in liver transplant monitoring, but Doppler ultrasound leads all imaging techniques in this area.

April 16, 2026

A survey study presented at ARRS 2026 by Morgan Young-Speirs, MD, evaluated trends in monitoring liver transplant recipients post-operation across U.S. and Canadian transplant centers.

Study affirms MRE as quantitative imaging biomarker

Liver stiffness measurements agree between conventional MR elastography sequence and updated sequence, according to researchers.

April 3, 2026

CEUS with perfluorobutane diagnoses small-cell HCC

By Amerigo Allegretto

Contrast-enhanced ultrasound (CEUS) with perfluorobutane performs well in diagnosing small-cell liver hepatocellular carcinoma (HCC).

March 3, 2026

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2023 version of AASLD improves ultrasound HCC surveillance

By Amerigo Allegretto

Using the latest version of the American Association for the Study of Liver Diseases (AASLD) improves HCC surveillance.

January 21, 2026

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POCUS lessens patient anxiety, pain in biliary disease diagnosis

By Amerigo Allegretto

Compared with standard care, POCUS imaging may lead to less anxiety and pain for patients being diagnosed with acute cholecystitis.

January 12, 2026

Ultrasound Transducer 400

Deep-learning image reconstruction boosts CT venography performance

By Kate Madden Yee

Research findings could translate to better liver transplantation planning.

January 2, 2026

CEUS finds residual liver cancer after downstaging therapy

By Amerigo Allegretto

Contrast-enhanced ultrasound (CEUS) is noninferior to contrast-enhanced MRI for detecting liver cancer after downstaging therapy.

December 16, 2025

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Gastric ultrasound can be used by novice examiners

By Amerigo Allegretto

With training, novice users of ultrasound can detect a full stomach in patients undergoing anesthesia.

November 10, 2025

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Beetroot-based contrast agents show promise for abdominal MRI

By Kate Madden Yee

Researchers have explored the development of GBCA alternatives, including those made from plant-based extracts.

November 7, 2025

Beets Adobe Dream Frame

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