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1.
PLoS One ; 14(12): e0227031, 2019.
Article in English | MEDLINE | ID: mdl-31869380

ABSTRACT

OBJECTIVE: Prostate lesions detected with multiparametric magnetic resonance imaging (mpMRI) are classified for their malignant potential according to the Prostate Imaging-Reporting And Data System (PI-RADS™2). In this study, we evaluate the diagnostic accuracy of the mpMRI with and without gadolinium, with emphasis on the added diagnostic value of the dynamic contrast enhancement (DCE). MATERIALS AND METHODS: The study was retrospective for 286 prostate lesions / 213 eligible patients, n = 116/170, and 49/59% malignant for the peripheral (Pz) and transitional zone (Tz), respectively. A stereotactic MRI-guided prostate biopsy served as the histological ground truth. All patients received a mpMRI with DCE. The influence of DCE in the prediction of malignancy was analyzed by blinded assessment of the imaging protocol without DCE and the DCE separately. RESULTS: Significant (CSPca) and insignificant (IPca) prostate cancers were evaluated separately to enhance the potential effects of the DCE in the detection of CSPca. The Receiver Operating Characteristics Area Under Curve (ROC-AUC), sensitivity (Se) and specificity (Spe) of PIRADS-without-DCE in the Pz was 0.70/0.47/0.86 for all cancers (IPca and CSPca merged) and 0.73/0.54/0.82 for CSPca. PIRADS-with-DCE for the same patients showed ROC-AUC/Se/Spe of 0.70/0.49/0.86 for all Pz cancers and 0.69/0.54/0.81 for CSPca in the Pz, respectively, p>0.05 chi-squared test. Similar results for the Tz, AUC/Se/Spe for PIRADS-without-DCE was 0.75/0.61/0.79 all cancers and 0.67/0.54/0.71 for CSPca, not influenced by DCE (0.66/0.47/0.81 for all Tz cancers and 0.61/0.39/0.75 for CSPca in Tz). The added Se and Spe of DCE for the detection of CSPca was 88/34% and 78/33% in the Pz and Tz, respectively. CONCLUSION: DCE showed no significant added diagnostic value and lower specificity for the prediction of CSPca compared to the non-enhanced sequences. Our results support that gadolinium might be omitted without mitigating the diagnostic accuracy of the mpMRI for prostate cancer.


Subject(s)
Contrast Media/analysis , Gadolinium/analysis , Multiparametric Magnetic Resonance Imaging/methods , Prostate/diagnostic imaging , Prostatic Neoplasms/diagnostic imaging , Aged , Area Under Curve , Early Detection of Cancer/methods , Humans , Image-Guided Biopsy/methods , Male , Middle Aged , Prostate/pathology , Prostatic Neoplasms/pathology , ROC Curve
2.
PLoS One ; 12(10): e0185995, 2017.
Article in English | MEDLINE | ID: mdl-29023572

ABSTRACT

BACKGROUND: Prostate cancer (PCa) diagnosis by means of multiparametric magnetic resonance imaging (mpMRI) is a current challenge for the development of computer-aided detection (CAD) tools. An innovative CAD-software (Watson Elementary™) was proposed to achieve high sensitivity and specificity, as well as to allege a correlate to Gleason grade. AIM/OBJECTIVE: To assess the performance of Watson Elementary™ in automated PCa diagnosis in our hospital´s database of MRI-guided prostate biopsies. METHODS: The evaluation was retrospective for 104 lesions (47 PCa, 57 benign) from 79, 64.61±6.64 year old patients using 3T T2-weighted imaging, Apparent Diffusion Coefficient (ADC) maps and dynamic contrast enhancement series. Watson Elementary™ utilizes signal intensity, diffusion properties and kinetic profile to compute a proportional Gleason grade predictor, termed Malignancy Attention Index (MAI). The analysis focused on (i) the CAD sensitivity and specificity to classify suspect lesions and (ii) the MAI correlation with the histopathological ground truth. RESULTS: The software revealed a sensitivity of 46.80% for PCa classification. The specificity for PCa was found to be 75.43% with a positive predictive value of 61.11%, a negative predictive value of 63.23% and a false discovery rate of 38.89%. CAD classified PCa and benign lesions with equal probability (P 0.06, χ2 test). Accordingly, receiver operating characteristic analysis suggests a poor predictive value for MAI with an area under curve of 0.65 (P 0.02), which is not superior to the performance of board certified observers. Moreover, MAI revealed no significant correlation with Gleason grade (P 0.60, Pearson´s correlation). CONCLUSION: The tested CAD software for mpMRI analysis was a weak PCa biomarker in this dataset. Targeted prostate biopsy and histology remains the gold standard for prostate cancer diagnosis.


Subject(s)
Diagnosis, Computer-Assisted/methods , Image-Guided Biopsy/methods , Magnetic Resonance Imaging/methods , Prostatic Neoplasms/pathology , Aged , Aged, 80 and over , Area Under Curve , Humans , Image Processing, Computer-Assisted/methods , Male , Middle Aged , Prostatic Neoplasms/diagnostic imaging , Retrospective Studies , Sensitivity and Specificity , Software
3.
Knee Surg Sports Traumatol Arthrosc ; 19(12): 2076-9, 2011 Dec.
Article in English | MEDLINE | ID: mdl-21647659

ABSTRACT

Necrotizing fasciitis is a rare, life-threatening and rapidly spreading soft-tissue infection that results in necrosis of the muscle, fascia and surrounding tissue. It can be result of a polymicrobial synergistic infection or a streptococcal infection. The authors report a case of necrotizing fasciitis occurring in the knee of a 65-year-old woman following an uneventful primary total knee arthroplasty and resulting in above-the-knee amputation. Having in mind severe infections like necrotising fasciitis, one should be aware of the possibility of such postoperative complications especially in patients with risk factors even in routine procedures like a total knee arthroplasty.


Subject(s)
Arthroplasty, Replacement, Knee/adverse effects , Fasciitis, Necrotizing/etiology , Osteoarthritis, Knee/surgery , Aged , Amputation, Surgical , Anti-Bacterial Agents/therapeutic use , Debridement , Fasciitis, Necrotizing/microbiology , Fasciitis, Necrotizing/therapy , Female , Humans
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