Is Perfusion MRI without Deconvolution Reliable for Mismatch Detection in Acute Stroke? Validation with 15O-Positron

Johanna Reimer1,2, Cornelia Montag1, Alexander Schuster1

  • 1Max-Planck-Institute for Neurological Research, Cologne, Germany.

Abstract

Insights

Non-deconvolved perfusion imaging parameters, including FM without DC, Cmax, and TTP, accurately predict tissue at risk in acute stroke patients. These metrics offer a reliable, observer-independent alternative for guiding reperfusion therapy decisions.

Area of Science:

  • Neuroimaging
  • Radiology
  • Stroke Medicine

Background:

  • The mismatch concept in MR imaging is crucial for selecting acute stroke patients for reperfusion therapy.
  • A controversy exists regarding the efficacy of deconvolved versus non-deconvolved perfusion-weighted (PW) parameter maps for predicting at-risk tissue.
  • Optimal parameters and thresholds for guiding acute stroke treatment decisions remain debated.

Purpose of the Study:

  • To validate non-deconvolved perfusion-weighted imaging (PWI) parameters against quantitative positron emission tomography (PET) for predicting penumbral flow (PF) in acute stroke.
  • To assess the diagnostic accuracy of various non-deconvolved PWI parameters in identifying tissue at risk of infarction.

Main Methods:

  • A cohort of 22 acute stroke patients underwent both MR and quantitative 15O-water PET imaging.
  • Non-deconvolved PWI parameters were evaluated using receiver operating characteristic (ROC) curve analysis.
  • The gold standard for PF detection was defined by PET-derived cerebral blood flow <20 mL/100 g/min.

Main Results:

  • Normalized non-deconvolved parameters demonstrated significant accuracy in detecting the PF threshold.
  • PW-first moment without delay correction (FM without DC) > 3.6 s (AUC = 0.89) showed high predictive value.
  • PW-maximum of the concentration curve (Cmax) < 0.66 (AUC = 0.92) and PW-time to peak (TTP) > 4.0 s (AUC = 0.92) were highly accurate in identifying at-risk tissue.

Conclusions:

  • Non-deconvolved PWI parameters, specifically FM without DC, Cmax, and TTP, are effective in predicting tissue at risk in acute stroke.
  • These parameters provide observer-independent alternatives to established deconvolved parameters like Tmax.
  • The findings support the use of these non-deconvolved parameters for guiding acute stroke treatment decisions.

Related Concept Videos

Positron Emission Tomography01:29

Positron Emission Tomography

Positron emission tomography (PET) is a medical imaging technique involving radiopharmaceuticals — substances that emit short-lived radiation. Although the first PET scanner was introduced in 1961, it took 15 more years before radiopharmaceuticals were combined with the technique and revolutionized its potential.
One of the main requirements of a PET scan is a positron-emitting radioisotope, which is produced in a cyclotron and then attached to a substance used by the part of the body...
7.6K
Reliability and Validity01:29

Reliability and Validity

Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
14.1K
Imaging Studies II: Positron Emission Tomography and Scintigraphy01:25

Imaging Studies II: Positron Emission Tomography and Scintigraphy

Positron Emission Tomography (PET) is a medical imaging technique that provides crucial insights into the body's physiological functions at a molecular level. It is an indispensable resource for diagnosing, staging, and monitoring various illnesses, notably cancer, neurological disorders, and cardiovascular conditions.
Fundamental Principles of PET
606
Mismatch Repair01:36

Mismatch Repair

Overview
43.7K
Mismatch Repair01:20

Mismatch Repair

Organisms are capable of detecting and fixing nucleotide mismatches that occur during DNA replication. This sophisticated process requires identifying the new strand and replacing the erroneous bases with correct nucleotides. Mismatch repair is coordinated by many proteins in both prokaryotes and eukaryotes.
The Mutator Protein Family Plays a Key Role in DNA Mismatch Repair
The human genome has more than 3 billion base pairs of DNA per cell. Prior to cell division, that vast amount of genetic...
6.6K
Deconvolution01:20

Deconvolution

Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
594