Category: Statistics

Int J Comput Assist Radiol Surg. 2022 Jul 26. doi: 10.1007/s11548-022-02707-y. Online ahead of print.

ABSTRACT

PURPOSE: Ultrasound is the standard-of-care to guide the systematic biopsy of the prostate. During the biopsy procedure, up to 12 biopsy cores are randomly sampled from six zones within the prostate, where the histopathology of those cores is used to determine the presence and grade of the cancer. Histopathology reports only provide statistical information on the presence of cancer and do not normally contain fine-grain information of cancer distribution within each core. This limitation hinders the development of machine learning models to detect the presence of cancer in ultrasound so that biopsy can be more targeted to highly suspicious prostate regions.

METHODS: In this paper, we tackle this challenge in the form of training with noisy labels derived from histopathology. Noisy labels often result in the model overfitting to the training data, hence limiting its generalizability. To avoid overfitting, we focus on the generalization of the features of the model and present an iterative data label refinement algorithm to amend the labels gradually. We simultaneously train two classifiers, with the same structure, and automatically stop the training when we observe any sign of overfitting. Then, we use a confident learning approach to clean the data labels and continue with the training. This process is iteratively applied to the training data and labels until convergence.

RESULTS: We illustrate the performance of the proposed method by classifying prostate cancer using a dataset of ultrasound images from 353 biopsy cores obtained from 90 patients. We achieve area under the curve, sensitivity, specificity, and accuracy of 0.73, 0.80, 0.63, and 0.69, respectively.

CONCLUSION: Our approach is able to provide clinicians with a visualization of regions that likely contain cancerous tissue to obtain more accurate biopsy samples. The results demonstrate that our proposed method produces superior accuracy compared to the state-of-the-art methods.

PMID:35881210 | DOI:10.1007/s11548-022-02707-y

Lasers Med Sci. 2022 Jul 26. doi: 10.1007/s10103-022-03618-9. Online ahead of print.

NO ABSTRACT

PMID:35881209 | DOI:10.1007/s10103-022-03618-9

Lasers Med Sci. 2022 Jul 26. doi: 10.1007/s10103-022-03616-x. Online ahead of print.

ABSTRACT

The objective of this study is to investigate the effect of scanning and point application of multiwave locked system (MLS) laser therapy on the recovery of patients with idiopathic Bell’s palsy (IBP). A randomized double-blind placebo-controlled trial was carried out on 60 patients with subacute BP. Patients were randomly assigned into three groups of 20 patients each. Facial massage and facial exercises were applied to all patients. Group one received MLS laser as a manual scanning technique (10 J/cm², area 50cm², total energy 500 J). Group two received MLS laser using point application technique (10 J/point, 8 points, total 80 J). Group three received placebo laser. House-Brackmann scale (HBS) and facial disability index (FDI) were used to evaluate the facial recovery. Assessment was performed at baseline and after 3 and 6 weeks of treatment. Comparison within and between groups was performed statistically with significance level p < 0.05. Results showed significant improvement in the FDI and HBS after treatment in all groups. Both scanning and point application significantly improved the score of FDI and HBS more than placebo group. Scanning technique combined with facial massage and exercises had a more significant effect than the point application group or the placebo group in improving FDI and HBS scores after 3 and 6 weeks of treatment. The MLS laser is an effective physiotherapy method used for the treatment of patients with IBP. MLS laser in scanning or point application techniques was more effective than exercise alone with greater effect of scanning technique than point application technique.

PMID:35881208 | DOI:10.1007/s10103-022-03616-x

Pharmacogenomics. 2022 Jul 26. doi: 10.2217/pgs-2022-0038. Online ahead of print.

ABSTRACT

Background: CYP2C9 and VKORC1 are important factors in warfarin metabolism. The authors explored the effects of these genetic polymorphisms and clinical factors on a warfarin maintenance dose and then established the prediction algorithm for Honghe minorities in China. Materials & methods: Quantitative fluorescence PCR determined the mutation frequency of CYP2C9 and VKORC1-1639 G>A alleles. The authors collected the relevant clinical factors, including age, gender, body surface area (BSA), international normalized ratio value, daily warfarin dose, comorbidity and concomitant prescriptions. Results: The mean values of BSA and international normalized ratio in Honghe minorities were lower than in Han Chinese (p = 0.00). The genotype of CYP2C9*1/*1 and VKORC1–1639 AA was the main allele, the mutationfrequency of VKORC1-1639 AA and the number of male of Honghe minorities were lower than that of Han Chinese (p = 0.013 and p = 0.04). The significances of the effect on actual warfarin dose value were gender, VKORC1 AA mutant, CYP2C9*1/*1, age, hypertension and BSA sequentially. Conclusion: By multiple linear regression analysis with genetic and clinical factors, the authors determined a prediction algorithm for adjusting individual dosing of warfarin in this population. Clinical trial registration number: ChiCTR2100051778.

PMID:35880564 | DOI:10.2217/pgs-2022-0038

Cancer Med. 2022 Jul 26. doi: 10.1002/cam4.5069. Online ahead of print.

ABSTRACT

OBJECTIVE: There is not a known elevated prevalence of delirium in older adult cancer patients. However, it is unknown if the incidence of delirium varies by cancer type among older adult patients. Therefore, this study aimed to examine the association between the incidence of delirium and cancer type among older adult patients using a Japanese hospital-based administrative claims database.

METHODS: A total of 76,868 patients over 65 years of age or older, first diagnosed with cancer on an initial date of hospitalization between April 2008 and December 2019, were included in this retrospective longitudinal study. Delirium was defined by the World Health Organization’s International Statistical Classification of Diseases and Related Health Problems (ICD-10) codes or antipsychotic medication use. Cox proportional hazard models were performed to estimate the risk of delirium incidence according to 22 cancer types during the one-year hospitalization period.

RESULTS: The incidence rates of delirium were 17.1% for men and 15.3% for women. Compared to gastric cancer, the risk of delirium was significantly higher for pancreatic cancer (HR: 1.26, 95% CI: 1.11-1.42 for men; HR: 1.27, 95% CI: 1.11-1.45 for women), leukemia (HR: 1.24, 95% CI: 1.09-1.41 for men; HR: 1.20, 95% CI: 1.03-1.41 for women), and oropharyngeal cancer (HR: 1.30, 95% CI: 1.10-1.54 for men; HR: 1.32; 95% CI: 1.02-1.72 for women) after adjusting for age, initial hospitalization year, antipsychotic medications, and surgery.

CONCLUSIONS: As compared to gastric cancer, patients with pancreatic cancer, leukemia, oropharyngeal cancer were found to have a higher risk of developing delirium. Our study findings suggested that the risk of delirium incidence may vary by cancer type.

PMID:35880545 | DOI:10.1002/cam4.5069

Med Phys. 2022 Jul 26. doi: 10.1002/mp.15867. Online ahead of print.

ABSTRACT

PURPOSE: Recently, deep learning-based methods have been established to denoise the low-count PET images and predict their standard-count image counterparts, which could achieve reduction of injected dosage and scan time, and improve image quality for equivalent lesion detectability and clinical diagnosis. In clinical settings, the majority scans are still acquired using standard injection dose with standard scan time. In this work, we applied a 3D U-Net network to reduce the noise of standard-count PET images to obtain the virtual-high-count (VHC) PET images for identifying the potential benefits of the obtained VHC PET images.

METHODS: The training datasets, including down-sampled standard-count PET images as the network input and high-count images as the desired network output, were derived from 27 whole-body PET datasets, which were acquired using 90-minute dynamic scan. The down-sampled standard-count PET images were rebinned with matched noise level of 195 clinical static PET datasets, by matching the normalized standard derivation (NSTD) inside 3D liver region of interests (ROIs). Cross-validation was performed on 27 PET datasets. Normalized mean square error (NMSE), peak signal to noise ratio (PSNR), structural similarity index (SSIM), and standard uptake value (SUV) bias of lessons were used for evaluation on standard-count and VHC PET images, with real-high-count PET image of 90 minutes as the gold standard. In addition, the network trained with 27 dynamic PET datasets was applied to 195 clinical static datasets to obtain VHC PET images. The NSTD and mean/max SUV of hypermetabolic lesions in standard-count and virtual high-count PET images were evaluated. Three experienced nuclear medicine physicians evaluated the overall image quality of randomly selected 50 out of 195 patients’ standard-count and VHC images and conducted 5-score ranking. A Wilcoxon signed-rank test was used to compare differences in the grading of standard-count and VHC images.

RESULTS: The cross-validation results showed that VHC PET images had improved quantitative metrics scores than the standard-count PET images. The mean/max SUVs of 35 lesions in the standard-count and true-high-count PET images did not show significantly statistical difference. Similarly, the mean/max SUVs of VHC and true-high-count PET images did not show significantly statistical difference. For the 195 clinical data, the VHC PET images had a significantly lower NSTD than the standard-count images. The mean/max SUVs of 215 hypermetabolic lesions in the VHC and standard-count images showed no statistically significant difference. In the image quality evaluation by three experienced nuclear radiologists, standard-count images and VHC images received scores with mean and standard deviation of 3.34±0.80 and 4.26±0.72 from Physician 1, 3.02±0.87 and 3.96±0.73 from Physician 2, and 3.74±1.10 and 4.58±0.57 from Physician 3, respectively. The VHC images were consistently ranked higher than the standard-count images. The Wilcoxon signed-rank test also indicated that the image quality evaluation between standard-count and VHC images had significant difference.

CONCLUSIONS: A deep learning method is proposed to convert the standard-count images to the VHC images. The VHC images have reduced noise level. No significant difference in mean/max SUV to the standard-count images is observed. VHC images improve image quality for better lesion detectability and clinical diagnosis. This article is protected by copyright. All rights reserved.

PMID:35880541 | DOI:10.1002/mp.15867

Circulation. 2022 Jul 26:101161CIRCULATIONAHA121058426. doi: 10.1161/CIRCULATIONAHA.121.058426. Online ahead of print.

ABSTRACT

BACKGROUND: Understanding the predictive utility of previously derived polygenic risk scores (PRSs) for long-term risk of coronary heart disease (CHD) and its additive value beyond traditional risk factors can inform prevention strategies.

METHODS: Data from adults 20 to 59 years of age who were free of CHD from the FOS (Framingham Offspring Study) and the ARIC (Atherosclerosis Risk in Communities) study were analyzed. Because the PRS was derived from samples of predominantly European ancestry, individuals who self-reported White race were included. The sample was stratified by age and cohort: young (FOS, 20-39 years [median, 30 years] of age), early midlife (FOS, 40-59 years [median, 43] years of age), and late midlife (ARIC, 45-59 years [median, 52 years] of age). Two previously derived and validated prediction tools were applied: (1) a 30-year traditional risk factor score and (2) a genome-wide PRS comprising >6 million genetic variants. Hazard ratios for the association between each risk estimate and incident CHD were calculated. Predicted and observed rates of CHD were compared with assess discrimination for each model individually and together with the optimism-corrected C index (95% CI).

RESULTS: Among 9757 participants, both the traditional risk factor score (hazard ratio per 1 SD, 2.60 [95% CI, 2.08-3.27], 2.09 [95% CI, 1.83-2.40], and 2.11 [95% CI, 1.96-2.28]) and the PRS (hazard ratio, 1.98 [95% CI, 1.70-2.30], 1.64 [95% CI, 1.47-1.84], and 1.22 [95% CI, 1.15-1.30]) were significantly associated with incident CHD in young, early midlife, and late midlife, respectively. Discrimination was similar or better for the traditional risk factor score (C index, 0.74 [95% CI, 0.70-0.78], 0.70 [95% CI, 0.67-0.72], and 0.72 [95% CI, 0.70-0.73]) compared with an age- and sex-adjusted PRS (0.73 [95% CI, 0.69-0.78], 0.66 [95% CI, 0.62-0.69], and 0.66 [95% CI, 0.64-0.67]) in young, early-midlife, and late-midlife participants, respectively. The ΔC index when PRS was added to the traditional risk factor score was 0.03 (95% CI, 0.001-0.05), 0.02 (95% CI, -0.002 to 0.037), and 0.002 (95% CI, -0.002 to 0.006) in young, early-midlife, and late-midlife participants, respectively.

CONCLUSIONS: Despite a statistically significant association between PRS and 30-year risk of CHD, the C statistic improved only marginally with the addition of PRS to the traditional risk factor model among young adults and did not improve among midlife adults. PRS, an immutable factor that cannot be directly intervened on, has minimal clinical utility for long-term CHD prediction when added to a traditional risk factor model.

PMID:35880530 | DOI:10.1161/CIRCULATIONAHA.121.058426

Stroke. 2022 Jul 26:101161STROKEAHA122038491. doi: 10.1161/STROKEAHA.122.038491. Online ahead of print.

ABSTRACT

BACKGROUND: In 2015, endovascular therapy (EVT) for large vessel occlusions became standard of care for acute ischemic stroke. Lower utilization of IV alteplase has been reported in women, but whether sex differences in EVT use in the United States exists has not been established.

METHODS: We identified all acute ischemic stroke discharges from Get With The Guidelines-Stroke hospitals between 2012 and 2019 who were potentially eligible for EVT, based on National Institutes of Health Stroke Scale score ≥6 and arrival <6 hours, according to 2018 American Heart Association/ASA guidelines. Multivariable regression analyses were used to determine the association between sex and EVT utilization, and outcomes (including mortality, discharge home, functional status) after EVT. Separate analyses were conducted for the 2 time periods: 2012 to 2014, and 2015 to 2019.

RESULTS: Of 302 965 patients potentially eligible for EVT, 42 422 (14%) received EVT. Before 2015, EVT treatment rates were 5.3% in women and 6.6% in men. From 2015 to 2019, treatment rates increased in both sexes to 16.7% in women and 18.5% in men. The adjusted odds ratio for EVT in women compared with men was 0.93 (95% CI, 0.87-0.99) before 2015, and 0.98 (95% CI, 0.96-1.01) after 2015. There were no significant sex differences in outcomes except that after 2015, women were less able to ambulate at discharge (adjusted odds ratio, 0.95 [95% CI, 0.95-0.99]) and had lower in-hospital mortality (adjusted odds ratio, 0.93 [95% CI, 0.88-0.99]).

CONCLUSIONS: EVT utilization has increased dramatically in both women and men since EVT approval in 2015. Following statistical adjustment, women were less likely to receive EVT initially, but after 2015, women were as likely as men to receive EVT. After EVT, women were more likely to be disabled at discharge but less likely to experience in-hospital death compared with men.

PMID:35880521 | DOI:10.1161/STROKEAHA.122.038491

J Korean Med Sci. 2022 Jul 25;37(29):e231. doi: 10.3346/jkms.2022.37.e231.

ABSTRACT

BACKGROUND: Although depression and motion sickness are prevalent in military personnel and seafarers, the association between depression and seasickness has been not yet elucidated. We aimed to evaluate the relationship of depression with initial susceptibility and adaptation to seasickness amongst military seafarers.

METHODS: This retrospective cohort enrolled Navy seafarers who started seafaring between 2017 and 2019. Three groups were established according to the Beck Depression Inventory (BDI) score: no depression (BDI score of 0), minimal depression (BDI score 1-9), and mild-to-moderate depression (BDI score 10-29). The occurrence of seasickness requiring treatment was observed as the prescription of medication for the first 30 distant seafaring days. Considering adjustment period, the two different outcomes were defined. The susceptibility to seasickness was evaluated via at least one day suffered from seasickness requiring treatment during the early period (the first 5 seafaring days), and adaptation ability to seasickness was defined by more than 10% of the ratio, calculated days suffered from seasickness requiring treatment/days of seafaring during the late period (the 6-30th seafaring days). Binary logistic regression was further evaluated to estimate the odds of BDI groups and BDI score adjusted for age and workplace whether outside visual perception was possible.

RESULTS: Among the 185 recruits, 179 participants (97%) sailed for more than 5 days were included in the study. Of the participants, 36% was susceptible to seasickness in the early and 17% was poorly adapted to seasickness in the late period. Multivariable model revealed that mild-to-moderate depression had elevated risk of poor adaptation (odds ratio [OR], 4.63; 95% confidence interval [CI], 1.31-16.98) whereas the results were not statistically significant for susceptibility to seasickness in the early period BDI score was independently associated with increased odds of poor adaptation (OR, 1.10; 95% CI, 1.04-1.18).

CONCLUSION: The present study suggests that depression is associated with poor adaptation to seasickness in Navy seafarers. Depression screening tool might be helpful for providing preventable strategies for population at risk.

PMID:35880507 | DOI:10.3346/jkms.2022.37.e231

J Korean Med Sci. 2022 Jul 25;37(29):e230. doi: 10.3346/jkms.2022.37.e230.

ABSTRACT

BACKGROUND: This study was performed to evaluate etiologies and secular trends in primary amenorrhea in South Korea.

METHODS: This retrospective multi-center study analyzed 856 women who were diagnosed with primary amenorrhea between 2000 and 2016. Clinical characteristics were compared according to categories of amenorrhea (hypergonadotropic/hypogonadotropic hypogonadism, eugonadism, disorders of sex development) or specific causes of primary amenorrhea. In addition, we assessed secular trends of etiology and developmental status based on the year of diagnosis.

RESULTS: The most frequent etiology was eugonadism (39.8%). Among specific causes, Müllerian agenesis was most common (26.2%), followed by gonadal dysgenesis (22.4%). Women with hypergonadotropic hypogonadism were more likely to have lower height and weight, compared to other categories. In addition, the proportion of cases with iatrogenic or unknown causes increased significantly in hypergonadotropic hypogonadism category, but overall, no significant secular trends were detected according to etiology. The proportion of anovulation including polycystic ovarian syndrome increased with time, but the change did not reach statistical significance.

CONCLUSION: The results of this study provide useful clinical insight on the etiology and secular trends of primary amenorrhea. Further large-scale, prospective studies are necessary.

PMID:35880506 | DOI:10.3346/jkms.2022.37.e230