MRI and CT Predicts Flap Failure After Head and Neck Reconstructive Cancer Surgery
|
By MedImaging International staff writers Posted on 24 Jun 2022 |

When a patient with head and neck cancer has surgery to remove it, they often need reconstructive surgery in the form of a “free flap”, which is skin and tissue taken from a different part of the body and connected to the blood vessels of the wound in need of repair. This free flap method, called microvascular reconstruction, carries around a 10-40% risk of wound complications, with 10% of cases requiring another surgery. Currently, most surgeons use ultrasound to assess viability for free flap reconstruction with techniques known as Doppler and skin paddle. Those methods often are unable to evaluate deeper aspects of the flap, or air and blood products cause interference in visualization, which affects how well clinicians can analyze a flap’s viability. Now, a study has found that early postoperative CT scans and MRIs can help predict whether a flap will fail, which could allow surgeons to intervene earlier.
In the study, a team of researchers from the University of Michigan Health (Ann Arbor, MI, USA) analyzed 19 patients who had successful free flap reconstruction, as well as five who had wound failure, between January 2016 to mid-2018. They found that both CT and MRI perfusion techniques showed significant differences between the two patient groups. Researchers were not able to compare the two methods to ultrasound techniques or each other due to the small sample size. They hope to accomplish those comparisons through a larger future trial.
“All patients who have this procedure can be investigated with non-invasive post-operative CT or MRI perfusion, and these two methods show a lot of promise as accurate biomarkers of predicting free flap viability,” said Ashok Srinivasan, M.D., FACR, a neuroradiologist at University of Michigan Health.
“This pilot research shows us that these models work, as all areas of the flap can be assessed using CT and MRI, unlike doppler and skin paddle where some areas may be blind to evaluation,” said Yoshiaki Ota, M.D., a neuroradiology fellow at University of Michigan Health. “We know that using CT and MRI could help shorten a patient’s hospital stay or avoid a prolonged hospitalization, and now we need to look further at which is more effective and cost-effective.”
Related Links:
University of Michigan Health
Latest General/Advanced Imaging News
- Multimodal AI Tool Combines CT and Health Records to Predict Heart Risk
- AI Tool Automates Radiotherapy Planning for Cervical and Prostate Cancer
- New Proton Therapy Platform Integrates into Existing Radiotherapy Departments
- 3D-Printed Intraoral Device Enhances Head and Neck Radiotherapy Accuracy
- Molecular Imaging Agent Shows Promise for Endometriosis Detection and Monitoring
- Automated AI Tool Detects Early Pancreatic Cancer on Routine CT
- Routine Cardiac CT Enhanced to Predict Heart Failure Risk
- New Breast Imaging Viewer Unifies Modalities and Enhances Clinical Workflow
- Radiomics Analysis of CT Scans Enhances Evaluation of Sarcoidosis
- Hybrid AI System Improves Early Lung Cancer Detection on CT
- AI Tool Predicts Side Effects from Lung Cancer Treatment
- AI Tool Offers Prognosis for Patients with Head and Neck Cancer
- New 3D Imaging System Addresses MRI, CT and Ultrasound Limitations
- AI-Based Tool Predicts Future Cardiovascular Events in Angina Patients
- AI-Based Tool Accelerates Detection of Kidney Cancer
- New Algorithm Dramatically Speeds Up Stroke Detection Scans
Channels
Radiography
view channel
Simple Chest X-Ray Measure Predicts Survival After Lung Cancer Surgery
Obstructive ventilatory disorder, marked by airflow limitation that reduces breathing efficiency, increases postoperative risk in patients with lung cancer. Although surgery offers the best chance of cure,... Read more
AI Detection Tool Improves Identification of Lobular Breast Cancer
Breast cancer screening seeks early detection, yet some subtypes remain difficult to visualize on mammography, risking delayed diagnosis. On average, 1 in 20 women worldwide will develop breast cancer,... Read moreUltrasound
view channelAI Robotic Ultrasound System Automates Echocardiography and Improves Consistency
Echocardiography, an ultrasound examination of the heart, is central to diagnosing and managing cardiovascular disease. Many services struggle with limited availability of skilled sonographers, variable... Read more
Whole Cross-Section Ultrasound System Enables Operator-Independent Imaging
Conventional ultrasound is central to bedside imaging but is limited by a narrow field of view and operator variability. Comprehensive cross-sectional assessment typically requires computed tomography... Read moreNuclear Medicine
view channelMR-Guided Cardiac Mapping System Enables Radiation-Free Procedures
Cardiac electrophysiology procedures are typically guided by X-ray fluoroscopy, which limits soft-tissue visualization and exposes patients and clinical staff to ionizing radiation. Real-time mapping that... Read more
PET Tracer Enables Noninvasive Measurement of Beta Cell Mass
Type 1 diabetes is an autoimmune disease in which the immune system destroys insulin-producing pancreatic beta cells. Loss of these cells destabilizes glucose control and drives complications.... Read more
New Imaging Tool Sheds Light on Tumor Fat Metabolism
Rapidly growing tumors reprogram metabolism to meet high energy demands. While many cancers preferentially consume glucose, lipid utilization by malignant cells is difficult to measure in living subjects.... Read more
Radiopharmaceutical Molecule Marker to Improve Choice of Bladder Cancer Therapies
Targeted cancer therapies only work when tumor cells express the specific molecular structures they are designed to attack. In urothelial carcinoma, a common form of bladder cancer, the cell surface protein... Read moreGeneral/Advanced Imaging
view channelMultimodal AI Tool Combines CT and Health Records to Predict Heart Risk
Cardiovascular disease is a leading cause of death and an underrecognized risk for people treated for breast cancer. Cardiac complications can affect survival and quality of life. Clinicians need tools... Read more
AI Tool Automates Radiotherapy Planning for Cervical and Prostate Cancer
Cervical cancer causes most of its global mortality in low- and middle-income countries, where radiotherapy capacity and specialist staff are limited. Treatment planning is labor-intensive and can delay... Read moreImaging IT
view channel
Interactive AI Tool Supports Explainable Lung Nodule Assessment
Lung cancer is a leading cause of cancer mortality, and timely characterization of pulmonary nodules on chest computed tomography (CT) is essential for directing care. Interpreting nodule morphology demands... Read more
Breast Imaging Software Enhances Visualization and Tissue Characterization in Challenging Cases
Breast imaging can be particularly challenging in cases involving small breasts or implants, where image reconstruction and tissue characterization may be limited. Clinicians also need reproducible analysis... Read more
New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible
Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read moreIndustry News
view channel
GE HealthCare Highlights AI-Supported Radiation Therapy Tools at ESTRO 2026
At the European Society for Radiotherapy and Oncology (ESTRO) 2026 Congress in Stockholm, GE HealthCare is highlighting Intelligent Radiation Therapy (iRT), MIM Software innovations, and BK Medical surgical... Read more







