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1.
Medicina (Kaunas) ; 59(10)2023 Oct 13.
Article in English | MEDLINE | ID: mdl-37893545

ABSTRACT

Objective: Our study aimed to evaluate the success rate of ESWL and identify relevant treatment-specific factors affecting treatment outcomes, as well as to assess the accuracy of the updated Triple D scoring system and compare it with older systems. Material and Methods: A prospective study of 71 patients who received ESWL treatment for renal stones that were 5-15 mm in size was completed. The patient having no residual stones or residual stones lesser than 4 mm after ESWL was identified as a treatment success. Univariate and multivariate logistic regression and ROC curves were used to identify important factors for treatment outcomes. Results: Successful treatment was achieved for 66.2% of patients. The stone volume (SV), mean stone density (MD), and delivered power to the stone volume unit ratio (SMLI/SV) were defined as the most critical factors influencing ESWL success. An updated Triple D score system with a, SMLI/SV ratio could be an alternative to older systems and reach an even higher accuracy. A limitation of this study is the limited sample size due to the COVID-19 pandemic. Conclusions: Our results show that the three factors that most influence the success of ESWL are the stone size, mean stone density, and SMLI/SV ratio. Based on this, we present a simple updated triple D score system to predict ESWL success, which could be implemented in future clinical practice.


Subject(s)
Kidney Calculi , Lithotripsy , Humans , Prospective Studies , Pandemics , Kidney Calculi/therapy , Treatment Outcome , Retrospective Studies
2.
J Biophotonics ; 13(7): e202000018, 2020 07.
Article in English | MEDLINE | ID: mdl-32249545

ABSTRACT

More than 90% of solid kidney tumors are cancerous and have to be treated by surgical resection where surgical outcomes and patient prognosis are dependent on the tumor discrimination. The development of alternative approaches based on a new generation of fiber attenuated total reflection (ATR) probes could aid tumor identification even under intrasurgical conditions. Herein, fiber ATR IR spectroscopy is employed to distinguish normal and cancerous kidney tissues. Freshly resected tissue samples from 34 patients are investigated under nearly native conditions. Spectral marker bands that allow a reliable discrimination between tumor and normal tissue are identified by a supervised classification algorithm. The absorbance values of the bands at 1025, 1155 and 1240 cm-1 assigned to glycogen and fructose 1,6-bisphosphatase are used as the clearest markers for the tissue discrimination. Absorbance threshold values for tumor and normal tissue are determined by discriminant analysis. This new approach allows the surgeon to make a clinical diagnosis.


Subject(s)
Kidney Neoplasms , Discriminant Analysis , Humans , Kidney/surgery , Kidney Neoplasms/surgery , Spectrophotometry, Infrared , Spectroscopy, Fourier Transform Infrared
3.
J Biophotonics ; 11(5): e201700260, 2018 05.
Article in English | MEDLINE | ID: mdl-29316381

ABSTRACT

Herein, a technique to analyze air-dried kidney tissue impression smears by means of attenuated total reflection infrared (ATR-IR) spectroscopy is presented. Spectral tumor markers-absorption bands of glycogen-are identified in the ATR-IR spectra of the kidney tissue smear samples. Thin kidney tissue cryo-sections currently used for IR spectroscopic analysis lack such spectral markers as the sample preparation causes irreversible molecular changes in the tissue. In particular, freeze-thaw cycle results in degradation of the glycogen and reduction or complete dissolution of its content. Supervised spectral classification was applied to the recorded spectra of the smears and the test spectra were classified with a high accuracy of 92% for normal tissue and 94% for tumor tissue, respectively. For further development, we propose that combination of the method with optical fiber ATR probes could potentially be used for rapid real-time intra-operative tissue analysis without interfering with either the established protocols of pathological examination or the ordinary workflow of operating surgeon. Such approach could ensure easier transition of the method to clinical applications where it may complement the results of gold standard histopathology examination and aid in more precise resection of kidney tumors.


Subject(s)
Kidney Neoplasms/diagnosis , Kidney Neoplasms/surgery , Kidney/pathology , Kidney/surgery , Spectrophotometry, Infrared , Glycogen/metabolism , Humans , Intraoperative Period , Kidney Neoplasms/metabolism , Kidney Neoplasms/pathology , Time Factors
4.
J Biomed Opt ; 19(8): 087005, 2014 Aug.
Article in English | MEDLINE | ID: mdl-25140885

ABSTRACT

Fourier transform infrared (FT-IR) spectroscopy was applied to characterize the extracellular matrix (ECM) of kidney tumor tissue and normal kidney tissue. Freshly resected tissue samples from 31 patients were pressed on a CaF2 substrate. FT-IR spectra obtained from ECM of tumor tissue exhibit stronger absorption bands in the spectral region from 1000 to 1200 cm⁻¹ and around 1750 cm⁻¹ than those obtained from normal tissue. It is likely that the spectra of ECM of kidney tumor tissue with large increases in the intensities of these bands represent a higher concentration of fatty acids and glycerol. Amide I and amide II bands are stronger in the spectra of ECM from normal tissue, indicating a higher level of proteins. Our results suggest that FT-IR spectroscopy of the ECM is an innovative emerging technology for real-time intraoperative tumor diagnosis, which may improve margin clearance in renal cancer surgery.


Subject(s)
Biomarkers, Tumor/analysis , Carcinoma, Renal Cell/chemistry , Carcinoma, Renal Cell/diagnosis , Extracellular Matrix/chemistry , Kidney Neoplasms/chemistry , Kidney Neoplasms/diagnosis , Spectroscopy, Fourier Transform Infrared/methods , Algorithms , Diagnosis, Computer-Assisted/methods , Humans , Reproducibility of Results , Sensitivity and Specificity
5.
J Phys Chem B ; 116(17): 5192-8, 2012 May 03.
Article in English | MEDLINE | ID: mdl-22480241

ABSTRACT

The variability of the exciton spectra of bacteriochlorophyll molecules in light-harvesting (LH) complexes of photosynthetic bacteria ensures the excitation energy funneling trend toward the reaction center. The decisive shift of the energies is achieved due to exciton spectra formation caused by the resonance interaction between the pigments. The possibility to resolve the upper Davydov sub-band corresponding to the B850 ring and, thus, to estimate the exciton bandwidth by analyzing the temperature dependence of the steady-state absorption spectra of the LH2 complexes is demonstrated. For this purpose a self-modeling curve resolution approach was applied for analysis of the temperature dependence of the absorption spectra of LH2 complexes from the photosynthetic bacteria Rhodobacter (Rba.) sphaeroides and Rhodoblastus (Rbl.) acidophilus. Estimations of the intradimer resonance interaction values as follows directly from obtained estimations of the exciton bandwidths at room temperature give 385 and 397 cm(-1) for the LH2 complexes from the photosynthetic bacteria Rba. sphaeroides and Rhl. acidophilus, respectively. At 4 K the corresponding couplings are slightly higher (391 and 435 cm(-1), respectively). The retained exciton bandwidth at physiological conditions supports the decisive role of the exciton coherence determining light absorption in bacterial light-harvesting antenna complexes.


Subject(s)
Light-Harvesting Protein Complexes/chemistry , Rhodobacter sphaeroides/metabolism , Bacteriochlorophylls/chemistry , Circular Dichroism , Light , Light-Harvesting Protein Complexes/metabolism , Temperature
6.
J Biomed Opt ; 16(9): 096006, 2011 Sep.
Article in English | MEDLINE | ID: mdl-21950920

ABSTRACT

Fourier transform infrared (FTIR) spectroscopic imaging has been used to probe the biochemical composition of human renal tumor tissue and adjacent normal tissue. Freshly resected renal tumor tissue from surgery was prepared as a thin cryosection and examined by FTIR spectroscopic imaging. Tissue types could be discriminated by utilizing a combination of fuzzy k-means cluster analysis and a supervised classification algorithm based on a linear discriminant analysis. The spectral classification is compared and contrasted with the histological stained image. It is further shown that renal tumor cells have spread in adjacent normal tissue. This study demonstrates that FTIR spectroscopic imaging can potentially serve as a fast and objective approach for discrimination of renal tumor tissue from normal tissue and even in the detection of tumor infiltration in adjacent tissue.


Subject(s)
Histocytochemistry/methods , Image Interpretation, Computer-Assisted/methods , Kidney Neoplasms/chemistry , Spectroscopy, Fourier Transform Infrared/methods , Algorithms , Cluster Analysis , Discriminant Analysis , Fuzzy Logic , Humans , Image Processing, Computer-Assisted , Kidney Neoplasms/classification , Principal Component Analysis
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