Discriminating Malignant from Benign Testicular Masses Using Multiparametric Magnetic Resonance Imaging-A Prospective Single-Center Study

被引:0
|
作者
Toerzsoek, Peter [1 ,2 ]
Deininger, Susanne [1 ]
Abenhardt, Michael [1 ]
Oswald, David [1 ]
Lusuardi, Lukas [1 ]
Deininger, Christian [3 ,4 ]
Forstner, Rosemarie [5 ]
Meissnitzer, Matthias [5 ]
Brandtner, Herwig [5 ]
Hecht, Stefan [5 ]
机构
[1] Paracelsus Med Univ, Salzburg Univ Hosp, Dept Urol & Androl, A-5020 Salzburg, Austria
[2] Szecheny Istvan Univ, Fac Hlth & Sport Sci, H-9026 Gyor, Hungary
[3] Paracelsus Med Univ, Salzburg Univ Hosp, Dept Orthoped & Traumatol, A-5020 Salzburg, Austria
[4] Paracelsus Med Univ, Inst Tendon & Bone Regenerat, A-5020 Salzburg, Austria
[5] Paracelsus Med Univ, Dept Radiol, A-5020 Salzburg, Austria
关键词
testicular cancer; multiparametric MRI; diffusion-weighted imaging; dynamic contrast-enhanced MRI; GERM-CELL TUMORS; DIAGNOSTIC-ACCURACY; CANCER; MRI; RECOMMENDATIONS; MANAGEMENT; FEATURES; US;
D O I
10.3390/jcm13154390
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Objective: The objective of this study was to prospectively assess the extent to which magnetic resonance imaging (MRI) can differentiate malignant from benign lesions of the testis. Materials and Methods: All included patients underwent multiparametric testicular MRI, including diffusion-weighted imaging (DWI) and subtraction dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI). Subsequently, all patients underwent a histopathological examination via orchiectomy or testicular biopsy/partial resection. The Kolmogorov-Smirnov test, t-test, Mann-Whitney U test, Fisher's exact test, and logistic regression were applied for statistical analysis. Results: We included 48 male patients (median age 37.5 years [range 18-69]) with testicular tumors. The median tumor size on MRI was 2.0 cm for malignant tumors and 1.1 cm for benign tumors (p < 0.05). A statistically significant difference was observed for the type (type 0-III curve, p < 0.05) and pattern of enhancement (homogeneous, heterogeneous, or rim-like, p < 0.01) between malignant and benign tumors. The minimum apparent diffusion coefficient (ADC) value was 0.9 for benign tumors and 0.7 for malignant tumors (each x10(3) mm(2)/s, p < 0.05), while the mean ADC was 0.05. The mean ADC value was significantly lower for malignant tumors; the mean ADC value was 1.1 for benign tumors and 0.9 for malignant tumors (each x10(3) mm(2)/s, p < 0.05). The sensitivity, specificity, positive predictive value, and negative predictive value of multiparametric MRI for differentiating malignant from benign testicular lesions were 94.3%, 76.9%, 91.7%, and 83.3%, respectively. The surgical procedures performed included orchiectomy (n = 33; 71.7%) and partial testicular resection (n = 11; 23.9%). Histopathology (HP) revealed malignancy in 35 patients (72.9%), including 26 with seminomas and 9 with non-seminomatous germ cell tumors (NSGCTs). The HP was benign in 13 (27.1%) patients, including 5 with Leydig cell tumors. Conclusions: Malignant and benign tumors differ in MRI characteristics in terms of the type and pattern of enhancement and the extent of diffusion restriction, indicating that MRI can be an important imaging modality for the accurate diagnosis of testicular lesions.
引用
收藏
页数:14
相关论文
共 50 条
  • [21] Clinical characteristics and pathological features of undetectable clinically significant prostate cancer on multiparametric magnetic resonance imaging: A single-center and retrospective study
    Yamamoto, Takahiro
    Okada, Hiroaki
    Matsunaga, Nozomu
    Endo, Makoto
    Tsuzuki, Toyonori
    Kajikawa, Keishi
    Suzuki, Kojiro
    JOURNAL OF CLINICAL IMAGING SCIENCE, 2024, 14
  • [22] Diffusion-weighted magnetic resonance imaging and magnetic resonance spectroscopy for non-invasive characterization of azoospermia: A prospective comparative single-center study
    Said, Ahmed Hesham
    Ragab, Ahmed
    Zohdy, Wael
    Ibrahim, Ahmed Sayed
    Abd El Basset, Ahmed Sayed
    ANDROLOGY, 2023, 11 (06) : 1096 - 1106
  • [23] Role of Diffusion-Weighted Magnetic Resonance Imaging in Differentiating Benign From Malignant Thyroid Lesions: A Prospective Study
    Bhargava, Kanika
    Narula, Harneet
    Mittal, Amit
    Sharma, Divya
    Goel, Kritesh
    Nijhawan, Divya
    JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH, 2020, 14 (04) : TC1 - TC4
  • [24] Assessment of dynamic contrast-enhanced magnetic resonance imaging in the differentiation of malignant from benign orbital masses
    Yuan, Ying
    Kuai, Xin-Ping
    Chen, Xiao-Song
    Tao, Xiao-Feng
    EUROPEAN JOURNAL OF RADIOLOGY, 2013, 82 (09) : 1506 - 1511
  • [25] Clinical and prostate multiparametric magnetic resonance imaging findings as predictors of general and clinically significant prostate cancer risk: A retrospective single-center study
    Massanova, Matteo
    Vere, Rebecca
    Robertson, Sophie
    Crocetto, Felice
    Barone, Biagio
    Dutto, Lorenzo
    Ahmad, Imran
    Underwood, Mark
    Salmond, Jonathan
    Patel, Amit
    Celentano, Giuseppe
    Bhatt, Jaimin R.
    CURRENT UROLOGY, 2023, 17 (03) : 147 - 152
  • [26] Magnetic resonance imaging findings in patients with benign and malignant ovarian masses versus pathologic outcomes
    Behnamfar, Fariba
    Tashakor, Zahra
    Adibi, Atoosa
    ADVANCED BIOMEDICAL RESEARCH, 2020, 9 (01): : 64
  • [27] The Validity of Magnetic Resonance Imaging (MRI) in Characterizing Benign and Malignant Uterine Endometrial Cavity Masses
    Taj-Aldean, Kassim A. H.
    RESEARCH JOURNAL OF PHARMACEUTICAL BIOLOGICAL AND CHEMICAL SCIENCES, 2016, 7 (06): : 750 - 754
  • [28] Intraoperative magnetic resonance imaging in glioma surgery: a single-center experience
    Mirzayeva, Leyla
    Ucar, Murat
    Kaymaz, Ahmet Memduh
    Temel, Esra
    JOURNAL OF NEURO-ONCOLOGY, 2024, 168 (02) : 249 - 257
  • [29] Incidental Findings Are Frequent in Young Healthy Individuals Undergoing Magnetic Resonance Imaging in Brain Research Imaging Studies: A Prospective Single-Center Study
    Hartwigsen, Gesa
    Siebner, Hartwig R.
    Deuschl, Guenther
    Jansen, Olav
    Ulmer, Stephan
    JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 2010, 34 (04) : 596 - 600
  • [30] Comparison of ultrasound-based ADNEX model with magnetic resonance imaging for discriminating adnexal masses: a multi-center study
    Hu, Yanli
    Chen, Bo
    Dong, Hongmei
    Sheng, Bo
    Xiao, Zhibo
    Li, Jia
    Tian, Wei
    Lv, Furong
    FRONTIERS IN ONCOLOGY, 2023, 13