Prediktivni model prisutnosti spermija u sjemeniku muškaraca s azoospermijom temeljen na oslikavanju magnetskom rezonancijom

doctoral thesis

• Title (english): Predictive Model for Sperm Presence in Testes of Azoospermic Men Based on Magnetic Resonance Imaging
• Author: Ana Planinić
• Mentor: Davor Ježek (mentor)
• Mentor: Siniša Škokić (komentor)
• Committee member: Ana Katušić Bojanac (predsjednik povjerenstva)
• Committee member: Boris Brkljačić (član povjerenstva)
• Committee member: Dinka Pavičić Baldani (član povjerenstva)
• Granter: University of Zagreb; School of Medicine; Zagreb
• Defense date and country: 2024-03-04, Croatia
• Scientific / art field, discipline and subdiscipline: BIOMEDICINE AND HEALTHCARE; Basic Medical Sciences; Cytology, Histology and Embryology
• Universal decimal classification (UDC): 61 - Medical sciences

Abstract

U populaciji neplodnih muškaraca, 15 % ih ima azoospermiju i ti se muškarci upućuju na biopsiju sjemenika koja je uspješna u oko 50 % pacijenata. Cilj ove studije bio je izraditi prediktivni model za prisutnost spermija u tkivu sjemenika temeljen na ex-vivo podacima dobivenim snimanjem magnetskom rezonancijom (MRI) i spektroskopijom, kao i podacima dobivenim standardnom dijagnostičkom obradom. Uzorci humanog tkiva sjemenika dobiveni biopsijom podvrgnuti su 7T MRI koje je uključivalo T2 mapiranje, snimanje difuzijskog tenzora (DTI), snimanje prijenosa magnetizacije (MTI) i spektroskopiju magnetske rezonancije
(MRS). Uzorci su zatim histološki obrađeni i analizirani. Provedena je multivarijatna logistička regresija kako bi se procijenio odnos između 12 nezavisnih varijabli i prisutnosti spermija. Nezavisne varijable korištene za konstrukciju prediktivnog modela bile su T2, ADC, FA, MTR, koncentracije kolina, kreatina, laktata, glutamata i mioinozitola, razine FSH i LH i povijest kriptorhizma kod pacijenta. Površina ispod ROC krivulje za najuspješniji model bila je 0,9738 s negativnom prediktivnom vrijednosti od 100 %. Prisutnosti spermija u tkivu sjemenika moguće je predvidjeti korištenjem prediktivnog modela temeljenog na magnetskoj rezonanciji,
a model je potrebno validirati na in vivo podacima za kliničku upotrebu.

Abstract (english)

15 % of infertile men have azoospermia, and those men are referred for a testicular biopsy, which is successful in around 50 % of patients. The objective of this study was to construct a predictive model for sperm presence based on ex-vivo magnetic resonance imaging (MRI) and spectroscopy data, as well as data obtained through the standard diagnostic evaluation of azoospermia. Samples of human testicular tissue were obtained via testicular biopsy and underwent 7T MRI, specifically T2 mapping, diffusion tensor imaging (DTI), magnetization transfer imaging (MTI), and magnetic resonance spectroscopy (MRS). Samples were then histologically processed and analyzed. Multivariate logistic regression was performed to evaluate the relationship between 12 independent variables and sperm presence. The independent variables used for the construction of the predictive model were T2, ADC, FA, MTR, concentrations of choline, creatine, lactate, glutamate, and myo-inositol, FSH and LH levels and patient history of cryptorchidism. The predicted area under the ROC curve for the most successful model was 0.9738, with a negative predictive power of 100 %. Sperm presence in testicular tissue can be predicted by using a predictive model based on magnetic resonance imaging, and the model should be validated with in-vivo data for clinical use.

• Keywords: Snimanje prijenosa magnetizacije; Kreatin; Azoospermija; Kriptorhidizam; ROC krivulja; Sjeme; Spermatozoidi; Biopsija; Spektroskopija magnetske rezonancije
• Keywords (english): Diffusion Tensor Imaging; Creatine; Azoospermia; Cryptorchidism; ROC Curve; Semen; Spermatozoa; Biopsy; Magnetic Resonance Spectroscopy
• Language: croatian
• URN:NBN: urn:nbn:hr:105:326200
• Project: Number: KK.01.1.1.01.0008; Title: Reproduktivna i regenerativna medicina - istraživanje novih platformi i potencijala; Leader: Ana Katušić Bojanac; Jurisdiction: Croatia; Funder: MZO
• Study programme: Title: Biomedicine and Health Sciences; Study programme type: university; Study level: postgraduate; Academic / professional title: doktor/doktorica znanosti, područje biomedicine i zdravstvo (doktor/doktorica znanosti, područje biomedicine i zdravstvo)
• Type of resource: Text
• Extent: 128 str.
• File origin: Born digital
• Access conditions: Open access
• Created on: 2024-03-15 09:45:59