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  • 1
    Online Resource
    Online Resource
    Ultrasonography in the Differentiation of Endometriomas from Hemorrhagic Ovarian Cysts: The Role of Texture Analysis
    MDPI AG ; 2021
    In:  Journal of Personalized Medicine Vol. 11, No. 7 ( 2021-06-28), p. 611-
    Details
    In: Journal of Personalized Medicine, MDPI AG, Vol. 11, No. 7 ( 2021-06-28), p. 611-
    Abstract: The ultrasonographic (US) features of endometriomas and hemorrhagic ovarian cysts (HOCs) are often overlapping. With the emergence of new computer-aided diagnosis techniques, this is the first study to investigate whether texture analysis (TA) could improve the discrimination between the two lesions in comparison with classic US evaluation. Fifty-six ovarian cysts (endometriomas, 30; HOCs, 26) were retrospectively included. Four classic US features of endometriomas (low-level internal echoes, perceptible walls, no solid components, and less than five locules) and 275 texture parameters were assessed for every lesion, and the ability to identify endometriomas was evaluated through univariate, multivariate, and receiver operating characteristics analyses. The sensitivity (Se) and specificity (Sp) were calculated with 95% confidence intervals (CIs). The texture model, consisting of seven independent predictors (five variations of difference of variance, image contrast, and the 10th percentile; 100% Se and 100% Sp), was able to outperform the ultrasound model composed of three independent features (low-level internal echoes, perceptible walls, and less than five locules; 74.19% Se and 84.62% Sp) in the diagnosis of endometriomas. The TA showed statistically significant differences between the groups and high diagnostic value, but it remains unclear if the textures reflect the intrinsic histological characteristics of the two lesions.
    Type of Medium: Online Resource
    ISSN: 2075-4426
    URL: Article
    DOI: 10.3390/jpm11070611
    Language: English
    Publisher: MDPI AG
    Publication Date: 2021
    detail.hit.zdb_id: 2662248-8
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  • 2
    Online Resource
    Online Resource
    CT in the Differentiation of Gliomas from Brain Metastases: The Radiomics Analysis of the Peritumoral Zone
    MDPI AG ; 2022
    In:  Brain Sciences Vol. 12, No. 1 ( 2022-01-14), p. 109-
    Details
    In: Brain Sciences, MDPI AG, Vol. 12, No. 1 ( 2022-01-14), p. 109-
    Abstract: Due to their similar imaging features, high-grade gliomas (HGGs) and solitary brain metastases (BMs) can be easily misclassified. The peritumoral zone (PZ) of HGGs develops neoplastic cell infiltration, while in BMs the PZ contains pure vasogenic edema. As the two PZs cannot be differentiated macroscopically, this study investigated whether computed tomography (CT)-based texture analysis (TA) of the PZ can reflect the histological difference between the two entities. Thirty-six patients with solitary brain tumors (HGGs, n = 17; BMs, n = 19) that underwent CT examinations were retrospectively included in this pilot study. TA of the PZ was analyzed using dedicated software (MaZda version 5). Univariate, multivariate, and receiver operating characteristics analyses were used to identify the best-suited parameters for distinguishing between the two groups. Seven texture parameters were able to differentiate between HGGs and BMs with variable sensitivity (56.67–96.67%) and specificity (69.23–100%) rates. Their combined ability successfully identified HGGs with 77.9–99.2% sensitivity and 75.3–100% specificity. In conclusion, the CT-based TA can be a useful tool for differentiating between primary and secondary malignancies. The TA features indicate a more heterogenous content of the HGGs’ PZ, possibly due to the local infiltration of neoplastic cells.
    Type of Medium: Online Resource
    ISSN: 2076-3425
    URL: Article
    DOI: 10.3390/brainsci12010109
    Language: English
    Publisher: MDPI AG
    Publication Date: 2022
    detail.hit.zdb_id: 2651993-8
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  • 3
    Online Resource
    Online Resource
    Short histological kaleidoscope – recent findings in histology. Part III
    Societatea Romana de Morfologie ; 2023
    In:  Romanian Journal of Morphology and Embryology Vol. 64, No. 2 ( 2023-08-01), p. 115-133
    Details
    In: Romanian Journal of Morphology and Embryology, Societatea Romana de Morfologie, Vol. 64, No. 2 ( 2023-08-01), p. 115-133
    Type of Medium: Online Resource
    ISSN: 1220-0522 , 2066-8279
    URL: Issue
    URL: Journal
    URL: Article
    DOI: 10.47162/RJME.64.2
    DOI: 10.47162/RJME
    DOI: 10.47162/RJME.64.2.01
    Language: Unknown
    Publisher: Societatea Romana de Morfologie
    Publication Date: 2023
    detail.hit.zdb_id: 2594131-8
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  • 4
    Online Resource
    Online Resource
    Computer Tomography in the Diagnosis of Ovarian Cysts: The Role of Fluid Attenuation Values
    MDPI AG ; 2020
    In:  Healthcare Vol. 8, No. 4 ( 2020-10-14), p. 398-
    Details
    In: Healthcare, MDPI AG, Vol. 8, No. 4 ( 2020-10-14), p. 398-
    Abstract: Pathological analysis of ovarian cysts shows specific fluid characteristics that cannot be standardly evaluated on computer tomography (CT) examinations. This study aimed to assess the ovarian cysts’ fluid attenuation values on the native (Np), arterial (Ap), and venous (Vp) contrast phases of seventy patients with ovarian cysts who underwent CT examinations and were retrospectively included in this study. Patients were divided according to their final diagnosis into the benign group (n = 32) and malignant group (n = 38; of which 27 were primary and 11 were secondary lesions). Two radiologists measured the fluid attenuation values on each contrast phase, and the average values were used to discriminate between benign and malignant groups and primary tumors and metastases via univariate, multivariate, multiple regression, and receiver operating characteristics analyses. The Ap densities (p = 0.0002) were independently associated with malignant cysts. Based on the densities measured on all three phases, neoplastic lesions could be diagnosed with 89.47% sensitivity and 62.5% specificity. The Np densities (p = 0.0005) were able to identify metastases with 90.91% sensitivity and 70.37% specificity, while the combined densities of all three phases diagnosed secondary lesions with 72.73% sensitivity and 92.59% specificity. The ovarian cysts’ fluid densities could function as an adjuvant criterion to the classic CT evaluation of ovarian cysts.
    Type of Medium: Online Resource
    ISSN: 2227-9032
    URL: Article
    DOI: 10.3390/healthcare8040398
    Language: English
    Publisher: MDPI AG
    Publication Date: 2020
    detail.hit.zdb_id: 2721009-1
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  • 5
    Online Resource
    Online Resource
    Computed Tomography for the Diagnosis of Intraperitoneal Infected Fluid Collections after Surgery for Gastric Cancer. Role of Texture Analysis
    Romanian Society of Gastroenterology and Hepatology ; 2022
    In:  Journal of Gastrointestinal and Liver Diseases Vol. 31, No. 2 ( 2022-06-12), p. 184-190
    Details
    In: Journal of Gastrointestinal and Liver Diseases, Romanian Society of Gastroenterology and Hepatology, Vol. 31, No. 2 ( 2022-06-12), p. 184-190
    Abstract: Background and Aims: Several computed tomographic (CT) imaging features have been proposed to describe the infection of postoperative abdominal fluid collections; however, these features are vague, and there is a significant overlap between infected and non-infected collections. We assessed the role of textural parameters as additional diagnostic tools for distinguishing between infected and non-infected peritoneal collections in patients operated for gastric cancer. Methods: From 527 patients operated for gastric cancer, we retrospectively selected 82 cases with intraperitoneal collections who underwent CT exams. The fluid component was analyzed through a novel method (texture analysis); different patterns of pixel intensity and distribution were extracted and processed through a dedicated software (MaZda). A univariate analysis comparing the parameters of texture analysis between the two groups was performed. Afterwards, a multivariate analysis was performed for the univariate statistically significant parameters. Results: The study included 82 patients with bacteriologically verified infected (n=40) and noninfected (n=42) intraperitoneal effusions. The univariate analysis evidenced statistically significant differences between all the parameters involved. The multivariate analysis highlighted 10 parameters as being statistically significant, adjusted to Bonferroni correction. Conclusions: Our evidence supports the fact that textural analysis can be used as a complementary diagnostic tool for the detection of infected fluid collections after gastric cancer surgery. Further studies are required to validate the accuracy of this method.
    Type of Medium: Online Resource
    ISSN: 1842-1121 , 1841-8724
    URL: Article
    DOI: 10.15403/jgld-4219
    Language: Unknown
    Publisher: Romanian Society of Gastroenterology and Hepatology
    Publication Date: 2022
    detail.hit.zdb_id: 2253255-9
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  • 6
    Online Resource
    Online Resource
    Differentiation of Endometriomas from Ovarian Hemorrhagic Cysts at Magnetic Resonance: The Role of Texture Analysis
    MDPI AG ; 2020
    In:  Medicina Vol. 56, No. 10 ( 2020-09-23), p. 487-
    Details
    In: Medicina, MDPI AG, Vol. 56, No. 10 ( 2020-09-23), p. 487-
    Abstract: Background and Objectives: To assess ovarian cysts with texture analysis (TA) in magnetic resonance (MRI) images for establishing a differentiation criterion for endometriomas and functional hemorrhagic cysts (HCs) that could potentially outperform their classic MRI diagnostic features. Materials and Methods: Forty-three patients with known ovarian cysts who underwent MRI were retrospectively included (endometriomas, n = 29; HCs, n = 14). TA was performed using dedicated software based on T2-weighted images, by incorporating the whole lesions in a three-dimensional region of interest. The most discriminative texture features were highlighted by three selection methods (Fisher, probability of classification error and average correlation coefficients, and mutual information). The absolute values of these parameters were compared through univariate, multivariate, and receiver operating characteristic analyses. The ability of the two classic diagnostic signs (“T2 shading” and “T2 dark spots”) to diagnose endometriomas was assessed by quantifying their sensitivity (Se) and specificity (Sp), following their conventional assessment on T1-and T2-weighted images by two radiologists. Results: The diagnostic power of the one texture parameter that was an independent predictor of endometriomas (entropy, 75% Se and 100% Sp) and of the predictive model composed of all parameters that showed statistically significant results at the univariate analysis (100% Se, 100% Sp) outperformed the ones shown by the classic MRI endometrioma features (“T2 shading”, 75.86% Se and 35.71% Sp; “T2 dark spots”, 55.17% Se and 64.29% Sp). Conclusion: Whole-lesion MRI TA has the potential to offer a superior discrimination criterion between endometriomas and HCs compared to the classic evaluation of the two lesions’ MRI signal behaviors.
    Type of Medium: Online Resource
    ISSN: 1648-9144
    URL: Article
    DOI: 10.3390/medicina56100487
    Language: English
    Publisher: MDPI AG
    Publication Date: 2020
    detail.hit.zdb_id: 2088820-X
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  • 7
    Online Resource
    Online Resource
    Radiomics in the CT diagnosis of ovarian cystic malignancies - a pilot study
    Clujul Medical ; 2023
    In:  Medicine and Pharmacy Reports ( 2023-07-14)
    Details
    In: Medicine and Pharmacy Reports, Clujul Medical, ( 2023-07-14)
    Abstract: Background and aims. The conventional computed tomography (CT) appearance of ovarian cystic masses is often insufficient to adequately differentiate between benign and malignant entities. This study aims to investigate whether texture analysis of the fluid component can augment the CT diagnosis of ovarian cystic tumors. Methods. Eighty-four patients with adnexal cystic lesions who underwent CT examinations were retrospectively included. All patients had a final diagnosis that was established by histological analysis in forty four cases. The texture features of the lesions content were extracted using dedicated software and further used for comparing benign and malignant lesions, primary tumors and metastases, malignant and borderline lesions, and benign and borderline lesions. Texture features’ discriminatory ability was evaluated through univariate and receiver operating characteristics analysis and also by the use of the k-nearest-neighbor classifier. Results. The univariate analysis showed statistically significant results when comparing benign and malignant lesions (the Difference Variance parameter, p=0.0074) and malignant and borderline tumors (the Correlation parameter, p=0.488). The highest accuracy (83.33%) was achieved by the classifier when discriminating primary tumors from ovarian metastases. Conclusion. Texture parameters were able to successfully discriminate between different types of ovarian cystic lesions based on their content, but it is not entirely clear whether these differences are a result of the physical properties of the fluids or their appartenance to a particular histopathological group. If further validated, radiomics can offer a rapid and non-invasive alternative in the diagnosis of ovarian cystic tumors.
    Type of Medium: Online Resource
    ISSN: 2668-0572 , 2602-0807
    URL: Article
    DOI: 10.15386/mpr-2594
    Language: Unknown
    Publisher: Clujul Medical
    Publication Date: 2023
    detail.hit.zdb_id: 2974430-1
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  • 8
    Online Resource
    Online Resource
    Texture Analysis in Uterine Cervix Carcinoma: Primary Tumour and Lymph Node Assessment
    MDPI AG ; 2023
    In:  Diagnostics Vol. 13, No. 3 ( 2023-01-26), p. 442-
    Details
    In: Diagnostics, MDPI AG, Vol. 13, No. 3 ( 2023-01-26), p. 442-
    Abstract: The conventional magnetic resonance imaging (MRI) evaluation and staging of cervical cancer encounters several pitfalls, partially due to subjective evaluations of medical images. Fifty-six patients with histologically proven cervical malignancies (squamous cell carcinomas, n = 42; adenocarcinomas, n = 14) who underwent pre-treatment MRI examinations were retrospectively included. The lymph node status (non-metastatic lymph nodes, n = 39; metastatic lymph nodes, n = 17) was assessed using pathological and imaging findings. The texture analysis of primary tumours and lymph nodes was performed on T2-weighted images. Texture parameters with the highest ability to discriminate between the two histological types of primary tumours and metastatic and non-metastatic lymph nodes were selected based on Fisher coefficients (cut-off value 〉 3). The parameters’ discriminative ability was tested using an k nearest neighbour (KNN) classifier, and by comparing their absolute values through an univariate and receiver operating characteristic analysis. Results: The KNN classified metastatic and non-metastatic lymph nodes with 93.75% accuracy. Ten entropy variations were able to identify metastatic lymph nodes (sensitivity: 79.17–88%; specificity: 93.48–97.83%). No parameters exceeded the cut-off value when differentiating between histopathological entities. In conclusion, texture analysis can offer a superior non-invasive characterization of lymph node status, which can improve the staging accuracy of cervical cancers.
    Type of Medium: Online Resource
    ISSN: 2075-4418
    URL: Article
    DOI: 10.3390/diagnostics13030442
    Language: English
    Publisher: MDPI AG
    Publication Date: 2023
    detail.hit.zdb_id: 2662336-5
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  • 9
    Online Resource
    Online Resource
    Textural Analysis of the Hyperdense Artery Sign in Patients with Acute Ischemic Stroke Predicts the Outcome of Thrombectomy
    MDPI AG ; 2023
    In:  Journal of Cardiovascular Development and Disease Vol. 10, No. 9 ( 2023-08-24), p. 359-
    Details
    In: Journal of Cardiovascular Development and Disease, MDPI AG, Vol. 10, No. 9 ( 2023-08-24), p. 359-
    Abstract: Textural analysis is pivotal in augmenting the diagnosis and outcomes of endovascular procedures for stroke patients. Due to the detection of changes imperceptible to the human eye, this type of analysis can potentially aid in deciding the optimal type of endovascular treatment. We included 40 patients who suffered from acute ischemic stroke caused by large vessel occlusion, and calculated 130 different textural features based on the non-enhanced CT scan using an open-source software (3D Slicer). Using chi-squared and Mann–Whitney tests and receiver operating characteristics analysis, we identified a total of 21 different textural parameters capable of predicting the outcome of thrombectomy (quantified as the mTICI score), with variable sensitivity (50–97.9%) and specificity (64.6–99.4%) rates. In conclusion, CT-based radiomics features are potential factors that can predict the outcome of thrombectomy in patients suffering from acute ischemic stroke, aiding in the decision between aspiration, mechanical, or combined thrombectomy procedure.
    Type of Medium: Online Resource
    ISSN: 2308-3425
    URL: Article
    DOI: 10.3390/jcdd10090359
    Language: English
    Publisher: MDPI AG
    Publication Date: 2023
    detail.hit.zdb_id: 2777082-5
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  • 10
    Online Resource
    Online Resource
    Magnetic resonance imaging characteristics of chronic prostatitis in patients under the age of 50: is it more than the eye can see?
    SAGE Publications ; 2022
    In:  Acta Radiologica Vol. 63, No. 6 ( 2022-06), p. 839-846
    Details
    In: Acta Radiologica, SAGE Publications, Vol. 63, No. 6 ( 2022-06), p. 839-846
    Abstract: The magnetic resonance (MRI) diagnosis of chronic prostatitis (CP) is insufficiently evaluated. Purpose To evaluate the MRI appearance of CP in young patients by comparing it to individuals with non-prostatic related pathology. Material and Methods The study included 47 patients with prostatitis‐like symptoms evaluated by urologists and referred to pelvic MRI examination (mean age=40.23±7 years; age range=23–49 years) and 93 age-matched individuals with non-prostatic related pathology (mean age=37.5±7 years; age range=21–49 years). All MRI examinations were performed on a 1.5-T machine using a prostate-specific protocol for the prostatitis group and different protocols that included high-resolution small field of view T2-weighted (T2WI) and diffusion-weighted imaging (DWI), for the control group, depending on the clinical indication. Results Four different T2WI intensity patterns were observed: hyperintense homogenous; slightly to moderate homogenous hypointense; inhomogeneous; and marked hypointense. We found statistically significant differences between the two analyzed groups regarding mean ADC values ( P 〈 0.001), distribution of T2WI intensity patterns ( P 〈 0.0001), and the presence of dilated venous plexus ( P=0.0007). No differences were found regarding prostate volume ( P=0.15). In multivariate analysis, all four analyzed imaging parameters were independent predictors of chronic prostatitis (R 2 =0.67; P 〈 0.0001). Considered together, an age 〉 28 years, an inhomogeneous or marked hypointense T2WI intensity pattern (types 3 and 4), an ADC value ≤1250, and the presence of dilated venous plexus are able to predict CP with an AUC of 93% (sensitivity=85.1%, specificity=88.4%). Conclusion MR parameters like T2WI intensity patterns, ADC values, and venous plexus appearance are promising non-invasive tools in the challenging environment of CP diagnosis.
    Type of Medium: Online Resource
    ISSN: 0284-1851 , 1600-0455
    URL: Article
    DOI: 10.1177/02841851211010397
    RVK:
    XA 10000
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2022
    detail.hit.zdb_id: 2024579-8
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