• AI
  • Molecular Imaging
  • CT
  • X-Ray
  • Ultrasound
  • MRI
  • Facility Management
  • Mammography

Talking to Patients About Pain Can Improve Lumbar Spine MRI Interpretation

Article

Pairing patient-reported data about pain symptoms with an MRI image can lead to better identification of pain’s origin.

Pairing patient-reported pain symptom information with lumbar spine MRI images can help radiologists more precisely pinpoint the origin of an individual’s discomfort.

Interpretive errors are common with lumbar spine MRI because it is difficult to distinguish between incidental abnormalities and true pain generators. It is a shortcoming that limits the role of such images in clinical decision-making.

But, in a study published Jan. 27 in the American Journal of Roentgenology, investigators from Massachusetts General Hospital (MGH) detailed how a quick, electronic questionnaire can provide valuable information that radiologists can use to better identify the spot where a patient’s pain begins.

“Using patient-reported symptom information from a questionnaire, radiologists interpreting lumbar spine MRI converged on diagnoses of presumptive pain generators and distinguished these from incidental abnormalities,” said lead study author Rene Balza, M.D., an MGH radiologist.

Related Content: Natural Language Processing Aids in ID of Lumbar Spine Findings

To reach this outcome, Balza’s team designed a questionnaire that asked about pain location and symptom characteristics, as well as about activities that made those symptoms better or worse. They gave the questionnaire to 120 patients who were referred for lumbar spine pain injections between February 2019 and June 2019. The average patient age was 64, and more than half of the group were men.

Radiologists' agreement with reference diagnoses for presumptive pain generator type, level, and side on lumbar spine MRI was almost perfect when knowing symptoms (κ=0.820.90), versus fair-moderate without symptom information (κ=0.28-0.51) (p < .001). Interreading agreement was almost perfect with symptoms (κ=0.82-0.90), versus moderate without symptoms (κ=0.42-0.56) (p < .001). CREDIT American Roentgen Ray Society (ARRS), American Journal of Roentgenology (AJR)

The team, then, asked six radiologists to review patient MRI scans and questionnaire responses as part of three, distinct research arms:

Research Arm 1: MRI studies were reviewed alongside questionnaire-provided symptom information

Research Arm 2: MRI studies were reviewed without questionnaire responses

Research Arm 3: MRI reports were reviewed

What they found is that, when given patient-provided details about pain, a radiologist can provide an almost perfect agreement with reference diagnoses for presumptive pain generator type, level, and side of the lumbar spine. Specifically, for Research Arm 1, the clinical reference standard agreement was κ=0.82-0.90.

The patient denied buttock pain, leg pain, and symptoms of spinal claudication. Axial unenhanced fast-spin echo T2-weighted (TR 2800, TE 80) MRI shows severe canal stenosis and severe bilateral facet joint degeneration with bony remodeling. In research arm 1, radiologists reviewed lumbar spine images with symptom information obtained from patient questionnaires and diagnosed facet joint degeneration as the presumptive pain generator. In research arm 2, radiologists reviewed lumbar spine images without symptom information and diagnosed canal stenosis as the presumptive pain generator. In research arm 3, the MRI report listed canal stenosis as the presumptive pain generator. CREDIT American Roentgen Ray Society (ARRS), American Journal of Roentgenology (AJR)

Agreement was not as strong in the other Research Arms – κ=0.28-0.51 for Research Arm 2 and κ=0.28-0.45 for Research Arm 3.

Overall, the team determined, diagnostic certainty was highest among the radiologists who both provided clinical care and directly interviewed patients. Their certainty levels ranged from 60-100. In addition, diagnostic certainty was also high in Research Arm 1 when providers reviewed the MRI with symptom information – ranging from 48 to 100. Certainty was much lower in Research Arms 2 and 3, 15-99 and 10-100, respectively.

Based on reviews of the patient data and scans, radiologists found the most common pain generators were subarticular zone stenosis (36 percent, 43/120 patients) and foraminal stenosis (28 percent, 34/120 patients), followed by disc degeneration, facet arthropathy, and central canal stenosis. In addition, the most common levels of pain generator were L4-5 and L5-S1, 43 percent and 37 percent, respectively.

These results, the team said, show that patient-provided details about pain symptoms can substantially bolster the information gleaned from an MRI exam.

“This convergence suggests that an electronic questionnaire could be useful in daily clinical practice if administered to patients before lumbar spine MRI,” they said. “It could provide the symptom information needed for MRI correlation and the prioritization of possible gain generators, … [and] MRI reports could better guide the treatment decisions of referring physicians, particularly primary care physicians who are not trained in MRI interpretation.”

For more coverage based on industry expert insights and research, subscribe to the Diagnostic Imaging e-Newsletter here.

Recent Videos
Radiology Study Finds Increasing Rates of Non-Physician Practitioner Image Interpretation in Office Settings
Addressing the Early Impact of National Breast Density Notification for Mammography Reports
Where the USPSTF Breast Cancer Screening Recommendations Fall Short: An Interview with Stacy Smith-Foley, MD
A Closer Look at MRI-Guided Transurethral Ultrasound Ablation for Intermediate Risk Prostate Cancer
Improving the Quality of Breast MRI Acquisition and Processing
Can Diffusion Microstructural Imaging Provide Insights into Long Covid Beyond Conventional MRI?
Emerging MRI and PET Research Reveals Link Between Visceral Abdominal Fat and Early Signs of Alzheimer’s Disease
Nina Kottler, MD, MS
Practical Insights on CT and MRI Neuroimaging and Reporting for Stroke Patients
Related Content
© 2024 MJH Life Sciences

All rights reserved.