Machine learning paradigm for dynamic contrast-enhanced MRI evaluation of expanding bladder.

Delineation of the bladder under a dynamic contrast enhanced (DCE)-MRI protocol requires robust segmentation. However, this method is subject to errors due to variations in the content of fluid within the bladder, as well as presence of air and similarity of signal intensity in adjacent organs. Introduction of the contrast media into the bladder also causes signal errors due to alterations in the shape of the bladder. To circumvent such errors, and to improve the accuracy, we adapted a machine learning paradigm that utilizes the global bladder shape. The ML system first uses the combination of low level image processing tools such as filtering, and mathematical morphology as preprocessing step. We use neural network for training the network using extracted features and application of trained model on test slices to compute the delineated bladder shapes. This ML-based integrated system has an accuracy of 90.73% and time reduction of 65.2% in over manual delineation and can be used in clinical settings for IC/BPS patient care. Finally, we apply Jaccard Similarity Measure which we report to have a mean score of 0.933 (95% Confidence Interval 0.923, 0.944).

Ultrasound-Guided Needle Biopsy of Neck Lymph Nodes in Patients With Suspected Lung Cancer: Are the Specimens Sufficient for Complete Pathologic Evaluation to Guide Patient Management?

BACKGROUND: The purpose of this study is to determine the ability of ultrasound guided needle biopsy of a neck lymph node to provide adequate tissue for complete pathologic evaluation of suspected metastatic lung cancer, including molecular testing for epidermal growth factor receptor gene mutations by pyrosequencing and anaplastic lymphoma kinase gene rearrangement by fluorescence in situ hybridization. METHODS: Institutional review board approval was obtained and the requirement for informed consent was waived. All ultrasound guided neck biopsies performed July 1, 2011, to June 30, 2015, were retrospectively reviewed, and all biopsies performed for suspected lung cancer metastatic to supraclavicular and cervical lymph nodes were included. RESULTS: Forty patients with suspected lung cancer underwent ultrasound-guided needle biopsy of an abnormal appearing neck lymph node identified on preprocedure computed tomography or positron emission tomography/computed tomography. Thirty-seven patients were subsequently diagnosed with lung cancer and 3 were diagnosed with lymphoma. A definitive pathologic diagnosis was rendered in 95% of neck node biopsies (38/40; 95% confidence interval, 84%-99%). Of the 36 specimens diagnostic for lung cancer, 16 were considered for further molecular testing and the specimen was adequate for molecular testing in 15 (94%; 73%-100%) cases. Therefore, the neck node biopsy specimens were adequate for complete pathologic workup in 93% (37/40; 81%-98%). No complications related to the biopsies were observed. CONCLUSIONS: In patients presenting with suspected lung cancer and suspicious neck lymph nodes, ultrasound-guided needle biopsy frequently provides adequate tissue for complete pathologic evaluation and eliminates the need for more invasive procedures.

A Feasibility Study to Determine Whether Clinical Contrast Enhanced Magnetic Resonance Imaging can Detect Increased Bladder Permeability in Patients with Interstitial Cystitis.

PURPOSE: Interstitial cystitis/bladder pain syndrome is a bladder pain disorder associated with voiding symptomatology and other systemic chronic pain disorders. Currently diagnosing interstitial cystitis/bladder pain syndrome is complicated as patients present with a wide range of symptoms, physical examination findings and clinical test responses. One hypothesis is that interstitial cystitis symptoms arise from increased bladder permeability to urine solutes. This study establishes the feasibility of using contrast enhanced magnetic resonance imaging to quantify bladder permeability in patients with interstitial cystitis. MATERIALS AND METHODS: Permeability alterations in bladder urothelium were assessed by intravesical administration of the magnetic resonance imaging contrast agent Gd-DTPA (Gd-diethylenetriaminepentaacetic acid) in a small cohort of patients. Magnetic resonance imaging signal intensity in patient and control bladders was compared regionally and for entire bladders. RESULTS: Quantitative assessment of magnetic resonance imaging signal intensity indicated a significant increase in signal intensity in anterior bladder regions compared to posterior regions in patients with interstitial cystitis (p <0.01) and significant increases in signal intensity in anterior bladder regions (p <0.001). Kurtosis (shape of probability distribution) and skewness (measure of probability distribution asymmetry) were associated with contrast enhancement in total bladders in patients with interstitial cystitis vs controls (p <0.05). Regarding symptomatology interstitial cystitis cases differed significantly from controls on the SF-36®, PUF (Pelvic Pain and Urgency/Frequency) and ICPI (Interstitial Cystitis Problem Index) questionnaires with no overlap in the score range in each group. ICSI (Interstitial Cystitis Symptom Index) differed significantly but with a slight overlap in the range of scores. CONCLUSIONS: Data suggest that contrast enhanced magnetic resonance imaging provides an objective, quantifiable measurement of bladder permeability that could be used to stratify bladder pain patients and monitor therapy.