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Mattia Loppini

Explore the profile of Mattia Loppini including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 115
Citations 1668
Followers 0
Related Specialties
Orthopedics
General Surgery
Emergency Medicine
Top 10 Co-Authors
Vincenzo Denaro
Umile Giuseppe Longo
Nicola Maffulli
Guido Grappiolo
Giacomo Rizzello
Alessandra Berton
Katia Chiappetta
Francesco La Camera
Francesco Manlio Gambaro
Emanuela Morenghi
Published In
Arthroscopy
Knee Surg Sports Traumatol Arthrosc
J Clin Med
Arch Orthop Trauma Surg
Br Med Bull
Affiliations
Soon will be listed here.
Recent Articles
1.
Preoperative Diagnosis of Periprosthetic Infection in Patients Undergoing Hip or Knee Revision Arthroplasties: Development and Validation of Machine Learning Algorithm
Di Matteo V, Morandini P, Savevski V, Grappiolo G, Loppini M
Diagnostics (Basel) . 2025 Mar; 15(5). PMID: 40075787
Periprosthetic joint infection (PJI) remains a significant and complex complication following total hip and knee arthroplasty. This study aims to design, validate, and assess a machine learning (ML) model for...
2.
Hip prosthesis failure prediction through radiological deep sequence learning
Masciulli F, Corti A, Lindemann A, Chiappetta K, Loppini M, Corino V
Int J Med Inform . 2025 Jan; 196:105802. PMID: 39884035
Background: Existing deep learning studies for the automated detection of hip prosthesis failure only consider the last available radiographic image. However, using longitudinal data is thought to improve the prediction,...
3.
Identification of preoperative predictive markers of periprosthetic joint infection in presumed aseptic revisions of total hip arthroplasty: a retrospective observational study
Loppini M, Bella L, Rocchi C, Morenghi E, Chiappetta K, Rusconi R, et al.
Arch Orthop Trauma Surg . 2024 Dec; 145(1):38. PMID: 39665838
Introduction: Periprosthetic joint infections (PJIs) occur at a rate of 1-2% in primary arthroplasties and 4% in revisions, posing a significant healthcare challenge. PJI diagnosis is hindered by absence of...
4.
Leveraging transfer learning for predicting total knee arthroplasty failure from post-operative radiographs
Corti A, Galante S, Rauch R, Chiappetta K, Corino V, Loppini M
J Exp Orthop . 2024 Dec; 11(4):e70097. PMID: 39664926
Purpose: The incidence of both primary and revision total knee arthroplasty (TKA) is expected to rise, making early recognition of TKA failure crucial to prevent extensive revision surgeries. This study...
5.
The international Hip Outcome Tool 12 questionnaire (iHOT-12): an Italian language cross-cultural adaptation and validation
Randelli F, Fioruzzi A, Clemente A, Radaelli A, Menon A, Di Via D, et al.
J Orthop Traumatol . 2024 Nov; 25(1):59. PMID: 39604661
Background: Patient-reported outcome (PRO) measures are essential for evaluating disease-related quality of life. The International Hip Outcome Tool 12 (iHOT12) assesses various aspects of hip-related symptoms, function, sports participation, and...
6.
Trabecular Metal Augments for the Management of Paprosky Type III Defects Without Pelvic Discontinuity: Average 11-Year Follow-Up in Cases With Previously Reported 4-Year Clinical Results
Loppini M, Guazzoni E, Gambaro F, La Camera F, Chiappetta K, Grappiolo G
J Arthroplasty . 2024 Nov; PMID: 39579802
Background: This retrospective case series aimed to assess the clinical and radiographic outcomes of revision total hip arthroplasty with trabecular metal (TM) augments associated with cementless TM acetabular components for...
7.
Mid-Term Clinical and Radiographic Results of Complex Hip Revision Arthroplasty Based on 3D Life-Sized Model: A Prospective Case Series
La Camera F, Di Matteo V, Pisano A, Guazzoni E, Favazzi C, Chiappetta K, et al.
J Clin Med . 2024 Sep; 13(18). PMID: 39336985
The pre-operative three-dimensional (3D) assessment of acetabular bone defects may not be evaluated properly with conventional radiographic and computed tomography images. This paper reports mid-term clinical and radiographic outcomes of...
8.
Machine Learning Prediction Model to Predict Length of Stay of Patients Undergoing Hip or Knee Arthroplasties: Results from a High-Volume Single-Center Multivariate Analysis
Di Matteo V, Tommasini T, Morandini P, Savevski V, Grappiolo G, Loppini M
J Clin Med . 2024 Sep; 13(17). PMID: 39274393
The growth of arthroplasty procedures requires innovative strategies to reduce inpatients' hospital length of stay (LOS). This study aims to develop a machine learning prediction model that may aid in...
9.
A new classification to characterize and predict treatment of acetabular bone defects
Loppini M, Guazzoni E, Gambaro F, La Camera F, Morenghi E, Grappiolo G
Arch Orthop Trauma Surg . 2024 Jun; 144(7):2975-2981. PMID: 38864926
Background: The increasing amount of revision surgeries in total hip arthroplasty (THA) represents a burden for orthopedic surgeons given the complexity and unpredictability of this kind of surgery. The aim...
10.
Interleukin-1β Polymorphisms Are Genetic Markers of Susceptibility to Periprosthetic Joint Infection in Total Hip and Knee Arthroplasty
Granata V, Strina D, Possetti V, Leone R, Valentino S, Chiappetta K, et al.
Genes (Basel) . 2024 May; 15(5). PMID: 38790226
Periprosthetic joint infections (PJIs) are serious complications of prosthetic surgery. The criteria for the diagnosis of PJI integrate clinical and laboratory findings in a complex and sometimes inconclusive workflow. Host...