Michael W. Groff

Dr. Michael W. Groff

orcid

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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25 January 2024 in NEJM AI
Verified
Journal Article
Closed access
FMFatima N. Mirza
Fatima N. Mirza
OTOliver Y. Tang
Oliver Y. Tang
ICIan D. Connolly
Ian D. Connolly
HAHael Abdulrazeq
Hael Abdulrazeq
RLRachel Lim
Rachel Lim
RARohaid Ali
Rohaid Ali

14 September 2024 in Journal of Clinical Medicine
Verified
Journal Article
Open access
PDF file
EMEmmanuel Mensah
Emmanuel Mensah
JCJoshua I. Chalif
Joshua I. Chalif
JBJessica Baker
Jessica Baker
ECEric Chalif
Eric Chalif
JBJason Biundo
Jason Biundo
MGMichael W. Groff
Michael W. Groff
Spine surgery has significantly progressed due to innovations in surgical techniques, technology, and a deeper understanding of spinal pathology. However, numerous challenges persist, complicating successful outcomes. Anatomical intricacies at transitional junctions demand precise surgical expertise to avoid complications. Technical challenges, such as underestimation of the density of fixed vertebrae, individual vertebral characteristics, and the angle of pedicle inclination, pose additional risks during surgery. Patient anatomical variability and prior surgeries add layers of difficulty, often necessitating thorough pre- and intraoperative planning. Technological challenges involve the integration of artificial intelligence (AI) and advanced visualization systems. AI offers predictive capabilities but is limited by the need for large, high-quality datasets and the “black box” nature of machine learning models, which complicates clinical decision making. Visualization technologies like augmented reality and robotic surgery enhance precision but come with operational and cost-related hurdles. Patient-specific challenges include managing postoperative complications such as adjacent segment disease, hardware failure, and neurological deficits. Effective patient outcome measurement is critical, yet existing metrics often fail to capture the full scope of patient experiences. Proper patient selection for procedures is essential to minimize risks and improve outcomes, but criteria can be inconsistent and complex. There is the need for continued technological innovation, improved patient-specific outcome measures, and enhanced surgical education through simulation-based training. Integrating AI in preoperative planning and developing comprehensive databases for spinal pathologies can aid in creating more accurate, generalizable models. A holistic approach that combines technological advancements with personalized patient care and ongoing education is essential for addressing these challenges and improving spine surgery outcomes.

1 December 2021 in Radiology
Verified
Journal Article
Closed access
CGCaroline M. W. Goedmakers
Caroline M. W. Goedmakers
ALAsad M. Lak
Asad M. Lak
ADAkiro H. Duey
Akiro H. Duey
ASAlexander W. Senko
Alexander W. Senko
OAOmar Arnaout
Omar Arnaout
ABAlessandro Boaro
Alessandro Boaro
A noninvasive prediction tool for preoperative MRI helped identify patients likely to develop new symptoms at adjacent levels after anterior cervical diskectomy. Background Patients who undergo surgery for cervical radiculopathy are at risk for developing adjacent segment disease (ASD). Identifying patients who will develop ASD remains challenging for clini...

1 January 2018 in ClinicoEconomics and Outcomes Research
Verified
Journal Article
Open access
PDF file
PKPeter Douglas Klassen
Peter Douglas Klassen
WHWellington K Hsu
Wellington K Hsu
FMFrederic Martens
Frederic Martens
JIJason Inzana
Jason Inzana
WBWimar A van Den Brink
Wimar A van Den Brink
CTClaudius Thome
Claudius Thome
Introduction: Lumbar discectomy patients with large annular defects are at a high risk for reherniation and reoperation, which could be mitigated through the use of an annular closure device (ACD). To identify the most effective treatment pathways for this high-risk population, it is critical to understand the clinical outcomes and socioeconomic costs among reoperated patients as well as the utility of ACD for minimizing reoperation risk. Methods: This was a post hoc analysis of a prospective, multicenter, randomized controlled trial (RCT) designed to investigate the safety and efficacy of an ACD. All 550 patients (both ACD treated and control) from the RCT with follow-up data through 2 years were included in this analysis (69 reoperated and 481 non-reoperated). Reoperations were defined as any revision surgery of the index level, regardless of indication. Equivalent U.S. Medicare expenditures for reoperations were estimated through cost multipliers derived from the commercially available PearlDiver database. Results: A significantly greater number of control patients (45/278; 16%) compared to ACD patients (24/272; 9%) underwent a revision surgery at the index level within 2 years of follow-up (p=0.01). At 2 years of follow-up, the reoperated patients had significantly worse Oswestry Disability Index scores and visual analog scale for leg and back pain scores compared to their non-reoperated counterparts (p<0.0001). The total estimated direct medical costs for reoperation were US $952,348 ($13,802 per reoperated patient), with control patients accounting for the majority of this cost burden ($565,188; 59%). Conclusion: Post-discectomy reoperation is associated with significantly increased patient morbidity, missed work, and direct treatment costs in a population at high risk for reherniation. Annular closure helped minimize this clinical and socioeconomic burden by reducing the incidence of reoperation by nearly 50% (16% control vs 9% ACD).

1 December 2018 in World Neurosurgery
Verified
Journal Article
Closed access
AWAmy J. Wang
Amy J. Wang
KHKevin T. Huang
Kevin T. Huang
TSTimothy R. Smith
Timothy R. Smith
Yi LuYi Lu
Yi Lu
JCJohn H. Chi
John H. Chi
HZHasan A. Zaidi
Hasan A. Zaidi

7 May 2024 in Journal of Bone and Joint Surgery
Verified
Journal Article
Open access
ANAhmad Nassr
Ahmad Nassr
DCDomagoj Coric
Domagoj Coric
ZPZachariah Pinter
Zachariah Pinter
ASArjun S. Sebastian
Arjun S. Sebastian
BFBrett A. Freedman
Brett A. Freedman
WWWilliam C. Welch
William C. Welch
Background: The comparative effectiveness of decompression plus lumbar facet arthroplasty versus decompression plus instrumented lumbar spinal fusion in patients with lumbar spinal stenosis and grade-I degenerative spondylolisthesis is unknown. Methods: In this randomized, controlled, Food and Drug Administration Investigational Device Exemption trial, we assigned patients who had single-level lumbar spinal stenosis and grade-I degenerative spondylolisthesis to undergo decompression plus lumbar facet arthroplasty (arthroplasty group) or decompression plus fusion (fusion group). The primary outcome was a predetermined composite clinical success score. Secondary outcomes included the Oswestry Disability Index (ODI), visual analog scale (VAS) back and leg pain, Zurich Claudication Questionnaire (ZCQ), Short Form (SF)-12, radiographic parameters, surgical variables, and complications. Results: A total of 321 adult patients were randomized in a 2:1 fashion, with 219 patients assigned to undergo facet arthroplasty and 102 patients assigned to undergo fusion. Of these, 113 patients (51.6%) in the arthroplasty group and 47 (46.1%) in the fusion group who had either reached 24 months of postoperative follow-up or were deemed early clinical failures were included in the primary outcome analysis. The arthroplasty group had a higher proportion of patients who achieved composite clinical success than did the fusion group (73.5% versus 25.5%; p < 0.001), equating to a between-group difference of 47.9% (95% confidence interval, 33.0% to 62.8%). The arthroplasty group outperformed the fusion group in most patient-reported outcome measures (including the ODI, VAS back pain, and all ZCQ component scores) at 24 months postoperatively. There were no significant differences between groups in surgical variables or complications, except that the fusion group had a higher rate of developing symptomatic adjacent segment degeneration. Conclusions: Among patients with lumbar spinal stenosis and grade-I degenerative spondylolisthesis, lumbar facet arthroplasty was associated with a higher rate of composite clinical success than fusion was at 24 months postoperatively. Level of Evidence: Therapeutic Level I. See Instructions for Authors for a complete description of levels of evidence.