Ectopic leiomyoma as a late complication of laparoscopic hysterectomy with power morcellation: a case report and review of the literature.

Introduction: Electromechanical power morcellation is a widely used technique to extract uterine fibroids during laparoscopic hysterectomy. Although the complication rate of morcellators is low, ectopic leiomyoma can appear several years after their use.Patients and methods: We present a case of an ectopic leiomyoma and a literature review of power morcellation-induced complications and ectopic leiomyoma.Results: A 49-year-old female presented with epigastric pain 12 years after laparoscopic subtotal hysterectomy with morcellation of the specimen. Radiological examinations revealed an epigastric mass of 45 mm that was laparoscopically removed. Histological examination confirmed the diagnosis of an ectopic leiomyoma. Complications of power morcellation are rarely reported and include perioperative injuries to bowel, vascular and urinary tract, spreading of ectopic leiomyoma and occult malignancy.Conclusions: Ectopic leiomyoma are a late and rare complication of a laparoscopic hysterectomy with power morcellation of the uterus.

Deep Learning for Lung Cancer Detection on Screening CT Scans: Results of a Large-Scale Public Competition and an Observer Study with 11 Radiologists.

PURPOSE: To determine whether deep learning algorithms developed in a public competition could identify lung cancer on low-dose CT scans with a performance similar to that of radiologists. MATERIALS AND METHODS: In this retrospective study, a dataset consisting of 300 patient scans was used for model assessment; 150 patient scans were from the competition set and 150 were from an independent dataset. Both test datasets contained 50 cancer-positive scans and 100 cancer-negative scans. The reference standard was set by histopathologic examination for cancer-positive scans and imaging follow-up for at least 2 years for cancer-negative scans. The test datasets were applied to the three top-performing algorithms from the Kaggle Data Science Bowl 2017 public competition: grt123, Julian de Wit and Daniel Hammack (JWDH), and Aidence. Model outputs were compared with an observer study of 11 radiologists that assessed the same test datasets. Each scan was scored on a continuous scale by both the deep learning algorithms and the radiologists. Performance was measured using multireader, multicase receiver operating characteristic analysis. RESULTS: The area under the receiver operating characteristic curve (AUC) was 0.877 (95% CI: 0.842, 0.910) for grt123, 0.902 (95% CI: 0.871, 0.932) for JWDH, and 0.900 (95% CI: 0.870, 0.928) for Aidence. The average AUC of the radiologists was 0.917 (95% CI: 0.889, 0.945), which was significantly higher than grt123 (P = .02); however, no significant difference was found between the radiologists and JWDH (P = .29) or Aidence (P = .26). CONCLUSION: Deep learning algorithms developed in a public competition for lung cancer detection in low-dose CT scans reached performance close to that of radiologists.Keywords: Lung, CT, Thorax, Screening, Oncology Supplemental material is available for this article. © RSNA, 2021.

Middle ear cholesteatoma: non-echo-planar diffusion-weighted MR imaging versus delayed gadolinium-enhanced T1-weighted MR imaging--value in detection.

PURPOSE: To retrospectively compare non-echo-planar (non-EP) diffusion-weighted (DW) imaging, delayed gadolinium-enhanced T1-weighted magnetic resonance (MR) imaging, and the combination of both techniques in the evaluation of patients with cholesteatoma. MATERIALS AND METHODS: This institutional review board-approved study, for which the need to obtain informed consent was waived, included 57 patients clinically suspected of having a middle ear cholesteatoma without a history of surgery and 63 patients imaged before "second-look" surgery. Four blinded radiologists evaluated three sets of MR images: a set of delayed gadolinium-enhanced T1-weighted images, a set of non-EP DW images, and a set of both kinds of images. Overall sensitivity, specificity, negative predictive value (NPV), and positive predictive value (PPV), as well as intra- and interobserver agreement, were assessed and compared among methods. To correct for the correlation between different readings, a generalized estimating equations logistic regression model was fitted. Results were compared with surgical results, which were regarded as the standard of reference. RESULTS: Sensitivity, specificity, NPV, and PPV were significantly different between the three methods (P < .005). Sensitivity and specificity, respectively, were 56.7% and 67.6% with the delayed gadolinium-enhanced T1-weighted images and 82.6% and 87.2% with the non-EP DW images. Sensitivity for the combination of both kinds of images was 84.2%, while specificity was 88.2%. The overall PPV was 88.0% for delayed gadolinium-enhanced T1-weighted images, 96.0% for non-EP DW images, and 96.3%for the combination of both kinds of images. The overall NPV was 27.0% for delayed gadolinium-enhanced T1-weighted images, 56.5% for non-EP DW images, and 59.6% for the combination of both kinds of images. CONCLUSION: MR imaging for detection of middle ear cholesteatoma can be performed by using non-EP DW imaging sequences alone. Use of the non-EP DW imaging sequence combined with a delayed gadolinium-enhanced T1-weighted sequence yielded no significant increases in sensitivity, specificity, NPV, or PPV over the use of the non-EP DW imaging sequence alone.

MR volumetry of the normal fetal kidney: reference values.

OBJECTIVE: The aim of this study is to provide reference values for normal fetal kidney growth based on magnetic resonance (MR) volumetry. Differences in side and gender will be investigated. METHOD: The institute's database was reviewed for all fetal MR examinations of singleton pregnancies performed between January 2003 and December 2009. Exclusion criteria for renal volumetry were presence of urogenital anomalies, intrauterine growth retardation, polymalformative disorders, oligo- or anhydramnios and maternal diabetes. On anatomical images, renal volumetry was evaluated by delineating kidneys on all slices and combining these into one volume measurement per kidney. Polynomial regression analysis was performed to examine volume evolution over gestational age (GA). RESULTS: Bilateral renal volumes of 274 MR examinations in 240 fetuses with GAs between 20 and 37 weeks were calculated. The renal volumes strongly correlated with GA (polynomial regression analysis, p < 0.001). No significant difference could be observed between the left and right renal volume and between male and female (p = 0.12 and 0.68, respectively). For fetuses GA ≥ 30 weeks the right kidney was slightly larger than the left side (n = 100, p = 0.039). CONCLUSION: The present study provides reference data for normal fetal renal volumes, which may enable to identify fetuses at risk to develop congenital oligonephropathy.

Qualitative and quantitative assessment of degeneration of cervical intervertebral discs and facet joints.

Degeneration of intervertebral discs and facet joints is one of the most frequently encountered spinal disorders. In order to describe and quantify degeneration and evaluate a possible relationship between degeneration and biomechanical parameters, e.g., the intervertebral range of motion and intradiscal pressure, a scoring system for degeneration is mandatory. However, few scoring systems for the assessment of degeneration of the cervical spine exist. Therefore, two separate objective scoring systems to qualitatively and quantitatively assess the degree of cervical intervertebral disc and facet joint degeneration were developed and validated. The scoring system for cervical disc degeneration consists of three variables which are individually scored on neutral lateral radiographs: "height loss" (0-4 points), "anterior osteophytes" (0-3 points) and "endplate sclerosis" (0-2 points). The scoring system for facet joint degeneration consists of four variables which are individually scored on neutral computed tomography scans: "hypertrophy" (0-2 points), "osteophytes" (0-1 point), "irregularity" on the articular surface (0-1 point) and "joint space narrowing" (0-1 point). Each variable contributes with varying importance to the overall degeneration score (max 9 points for the scoring system of cervical disc degeneration and max 5 points for facet joint degeneration). Degeneration of 20 discs and facet joints of 20 patients was blindly assessed by four raters: two neurosurgeons (one senior and one junior) and two radiologists (one senior and one junior), firstly based on first subjective impression and secondly using the scoring systems. Measurement errors and inter- and intra-rater agreement were determined. The measurement error of the scoring system for cervical disc degeneration was 11.1 versus 17.9% of the subjective impression results. This scoring system showed excellent intra-rater agreement (ICC = 0.86, 0.75-0.93) and excellent inter-rater agreement (ICC = 0.78, 0.64-0.88). Surgeons as well as radiologists and seniors as well as juniors obtained excellent inter- and intra-rater agreement. The measurement error of the scoring system for cervical facet joint degeneration was 20.1 versus 24.2% of the subjective impression results. This scoring system showed good intra-rater agreement (ICC = 0.71, 0.42-0.89) and fair inter-rater agreement (ICC = 0.49, 0.26-0.74). Both scoring systems fulfilled the criteria for recommendation proposed by Kettler and Wilke. Our scoring systems can be reliable and objective tools for assessing cervical disc and facet joint degeneration. Moreover, the scoring system of cervical disc degeneration was shown to be experience- and discipline-independent.

The crazy-paving pattern: a radiological-pathological correlation.

The crazy-paving pattern is a linear pattern superimposed on a background of ground-glass opacity, resembling irregularly shaped paving stones. The crazy-paving pattern is initially described as the pathognomonic sign of alveolar proteinosis. Nowadays this pattern is a common finding on high-resolution CT imaging, and can be seen in a number of acute and chronic diseases. The purpose of this paper is to illustrate different diseases that cause this crazy-paving pattern and to correlate the radiological findings from computed tomography with the histopathological findings.

The many faces of Merlin: IgG4-associated pulmonary-renal disease.

Pulmonary-renal syndrome is a common and serious disorder with a broad differential diagnosis. We describe a case of a middle-aged man presenting with interstitial pulmonary disease and severe renal impairment caused by a hypocomplementemic immune-complex-mediated interstitial nephritis. Serum levels of IgG4 were elevated, and renal biopsy specimens revealed the presence of interstitial IgG4(+) plasma cells. There was a rapid improvement of both pulmonary and renal abnormalities after the initiation of corticosteroids. To our knowledge, this report is the first to show interstitial pulmonary disease in association with interstitial kidney disease as the predominant and presenting symptoms of IgG4-related disease.