Gastrointestinal Radiology

Most histotripsy procedures used for metastatic disease treatment

By Amerigo Allegretto

Trends suggest that histotripsy has low rates of procedure-related complications and is mostly performed in outpatient settings.

August 5, 2026

Liver Cancer 400

MediView XR90 holographic navigation used for liver biopsy in Florida

By AuntMinnie.com staff writers

The procedure, a percutaneous liver mass biopsy, was performed to target a liver lesion approximately 10 cm deep.

August 4, 2026

MediView XR's clinical augmented reality and surgical navigation technology.

Surveillance imaging doesn't improve pancreatic cancer survival

By Amerigo Allegretto

Study authors are calling for better strategies for early detection and intervention for pancreatic cysts that become malignant.

August 3, 2026

A.) Rate of imaging utilization during surveillance by year, 2008 to 2022. B.) Rate of endoscopic ultrasound (EUS) and pancreatic surgery per 100 person years, 2008 to 2022.

Ablative RT shows promise in treating pancreatic cancer

By Amerigo Allegretto

Ablative radiotherapy led to promising survival outcomes in patients with locally advanced pancreatic cancer.

July 29, 2026

Pancreas Cancerous Area 3 D Rendering Adobe Anton

Advancing precision medicine through quantitative imaging

Coalition develops international QI technical standards across all imaging modalities, envisions credentialed centers.

June 22, 2026

Precision Medicine Concept As 2061010022 Marta P Milacroft

Mindray launches Hepatus-Series ultrasound systems

By AuntMinnie.com staff writers

Mindray has launched its Hepatus-Series for ultrasound systems for gastroenterology imaging.

June 2, 2026

AIUM: To treat tumors, why not microbubbles?

By Amerigo Allegretto

A presentation given at AIUM 2026 outlined how microbubbles are a promising option for interventional procedures.

May 29, 2026

J. Brian Fowlkes, PhD, gives the William J. Fry Memorial Lecture at AIUM 2026, speaking on how microbubbles can help treat pathologies via histotripsy and acoustic droplet vaporization.

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

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