SISS-MCO: large scale sparsity-induced spot selection for fast and fully-automated robust multi-criteria optimisation of proton plans

Objective.Intensity modulated proton therapy (IMPT) is an emerging treatment modality for cancer. However, treatment planning for IMPT is labour-intensive and time-consuming. We have developed a novel approach for multi-criteria optimisation (MCO) of robust IMPT plans (SISS-MCO) that is fully automated and fast, and we compare it for head and neck, cervix, and prostate tumours to a previously published method for automated robust MCO (IPBR-MCO, van de Water 2013).Approach.In both auto-planning approaches, the applied automated MCO of spot weights was performed with wish-list driven prioritised optimisation (Breedveld 2012). In SISS-MCO, spot weight MCO was applied once for every patient after sparsity-induced spot selection (SISS) for pre-selection of the most relevant spots from a large input set of candidate spots. IPBR-MCO had several iterations of spot re-sampling, each followed by MCO of the weights of the current spots.Main results.Compared to the published IPBR-MCO, the novel SISS-MCO resulted in similar or slightly superior plan quality. Optimisation times were reduced by a factor of 6 i.e. from 287 to 47 min. Numbers of spots and energy layers in the final plans were similar.Significance.The novel SISS-MCO automatically generated high-quality robust IMPT plans. Compared to a published algorithm for automated robust IMPT planning, optimisation times were reduced on average by a factor of 6. Moreover, SISS-MCO is a large scale approach; this enables optimisation of more complex wish-lists, and novel research opportunities in proton therapy.

Addressing the challenges of reconstructing systematic reviews datasets: a case study and a noisy label filter procedure

Systematic reviews and meta-analyses typically require significant time and effort. Machine learning models have the potential to enhance screening efficiency in these processes. To effectively evaluate such models, fully labeled datasets-detailing all records screened by humans and their labeling decisions-are imperative. This paper presents the creation of a comprehensive dataset for a systematic review of treatments for Borderline Personality Disorder, as reported by Oud et al. (2018) for running a simulation study. The authors adhered to the PRISMA guidelines and published both the search query and the list of included records, but the complete dataset with all labels was not disclosed. We replicated their search and, facing the absence of initial screening data, introduced a Noisy Label Filter (NLF) procedure using active learning to validate noisy labels. Following the NLF application, no further relevant records were found. A simulation study employing the reconstructed dataset demonstrated that active learning could reduce screening time by 82.30% compared to random reading. The paper discusses potential causes for discrepancies, provides recommendations, and introduces a decision tree to assist in reconstructing datasets for the purpose of running simulation studies.

Which psychotherapy is most effective and acceptable in the treatment of adults with a (sub)clinical borderline personality disorder? A systematic review and network meta-analysis

A broad range of psychotherapies have been proposed and evaluated in the treatment of borderline personality disorder (BPD), but the question which specific type of psychotherapy is most effective remains unanswered. In this study, two network meta-analyses (NMAs) were conducted investigating the comparative effectiveness of psychotherapies on (1) BPD severity and (2) suicidal behaviour (combined rate). Study drop-out was included as a secondary outcome. Six databases were searched until 21 January 2022, including RCTs on the efficacy of any psychotherapy in adults (⩾18 years) with a diagnosis of (sub)clinical BPD. Data were extracted using a predefined table format. PROSPERO ID:CRD42020175411. In our study, a total of 43 studies (N = 3273) were included. We found significant differences between several active comparisons in the treatment of (sub)clinical BPD, however, these findings were based on very few trials and should therefore be interpreted with caution. Some therapies were more efficacious compared to GT or TAU. Furthermore, some treatments more than halved the risk of attempted suicide and committed suicide (combined rate), reporting RRs around 0.5 or lower, however, these RRs were not statistically significantly better compared to other therapies or to TAU. Study drop-out significantly differed between some treatments. In conclusion, no single treatment seems to be the best choice to treat people with BPD compared to other treatments. Nevertheless, psychotherapies for BPD are perceived as first-line treatments, and should therefore be investigated further on their long-term effectiveness, preferably in head-to-head trials. DBT was the best connected treatment, providing solid evidence of its effectiveness.

O-154 Genetic screening in male infertility: time for new guidelines?

Approximately 1 in 7 couples wishing to conceive fail to do so after one year of trying. About half of the cases can be assigned to male factors. Currently, genetic causes explain approximately 4-9% of all cases of male infertility, with strong variation among the different subtypes of infertility. Presently a majority of all infertile males (60-70%) remain without a clear diagnosis, despite the expectation that genetic causes explain a substantial fraction of these patients. Without a genetic diagnosis, it is impossible for a clinician to accurately provide counseling to couples with questions about the causes of their infertility, possible co-morbidities, the potential success of ART treatment and the reproductive health of their offspring. Hence, knowing and understanding the genetic causes of infertility is of enormous value to patients and clinicians.

Already for more than 25 years, genetic testing is recommended for patients with severe oligozoospermia or azoospermia. These tests typically include karyotyping, azoospermia factor (AZF) deletion screening and/or CFTR mutation testing (in case of CBAVD). For a long time, further genetic testing was time-consuming and expensive, resulting in slow progress to unveil novel causes of male infertility in both research and clinic. The uptake of next-generation sequencing (NGS) methods has revolutionized genetic testing for a plethora of disorders, allowing for cost-effective screening of variants in limited gene panels, all coding parts of genes (exome), or the entire genome. NGS is now routinely used by many laboratories for genetic testing in diagnostics and research. Using these new technologies, we and others have identified numerous novel causal variants in genes indispensable for human fertility.

Although the use of NGS in male infertility research is skyrocketing in recent years, it has not yet broadly found its way into diagnostics. This means that 1) numerous patients with over a hundred newly discovered monogenic causes of male infertility are presently left undiagnosed and 2) large groups of patients with phenotypes such as globozoospermia or multiple morphological abnormalities of the sperm flagellum do not routinely receive genetic testing, even though diagnostic yields of up to 60% can be expected.

The field of genetics of male infertility is rapidly evolving and it is time for patients to benefit from these advances. This talk will cover the steps we and others are taking towards bringing NGS methods such as whole exome sequencing to the clinic for male infertility and will show the first results on the validation of our whole exome sequencing-based test for male infertility.

Pharmacological interventions to diminish cognitive side effects of electroconvulsive therapy: A systematic review and meta-analysis

OBJECTIVE

The authors conducted a systematic review and meta-analysis of pharmacological interventions to diminish cognitive side effects of ECT.

METHODS

Electronic databases of Pubmed, PsycInfo, Embase and Scopus were searched from inception through 1 April, 2021, using terms for ECT (e.g. electroconvulsive therapy), cognitive outcome (e.g. cogni*) and pharmacological intervention (e.g. calcium channel blocker and general terms, like protein). Original studies with humans receiving ECT were included, which applied pharmacological interventions in comparison with placebo or no additive intervention to diminish cognitive side effects. Data quality was assessed using Risk of Bias and GRADE. Random-effects models were used. PROSPERO registration number was CRD42021212773.

RESULTS

Qualitative synthesis (systematic review) showed 52 studies reporting sixteen pharmacological intervention-types. Quantitative synthesis (meta-analysis) included 26 studies (1387 patients) describing twelve pharmacological intervention-types. Low-quality evidence of efficacy was established for memantine (large effect size) and liothyronine (medium effect size). Very low-quality evidence shows effect of acetylcholine inhibitors, piracetam and melatonin in some cognitive domains. Evidence of no efficacy was revealed for ketamine (very low-quality), herbal preparations with anti-inflammatory properties (very low to low-quality) and opioid receptor agonists (low-quality).

CONCLUSION

Memantine and liothyronine are promising for further research and future application. Quality of evidence was low because of differences in ECT techniques, study populations and cognitive measurements. These findings provide a guide for rational choices of potential pharmacological intervention research targets to decrease the burden of cognitive side effects of ECT. Future research should be more uniform in design and attempt to clarify pathophysiological mechanisms of cognitive side effects of ECT.

Psychologic Treatment of Depression Compared With Pharmacotherapy and Combined Treatment in Primary Care: A Network Meta-Analysis

PURPOSE

Most patients with depression are treated by general practitioners, and most of those patients prefer psychotherapy over pharmacotherapy. No network meta-analyses have examined the effects of psychotherapy compared with pharmacotherapy, combined treatment, care as usual, and other control conditions among patients in primary care.

METHODS

We conducted systematic searches of bibliographic databases to identify randomized trials comparing psychotherapy with pharmacotherapy, combined treatment, care as usual, waitlist, and pill placebo. The main outcome was treatment response (50% improvement of depressive symptoms from baseline to end point).

RESULTS

A total of 58 studies with 9,301 patients were included. Both psychotherapy and pharmacotherapy were significantly more effective than care as usual (relative risk [RR] for response = 1.60; 95% CI, 1.40-1.83 and RR = 1.65; 95% CI, 1.35-2.03, respectively) and waitlist (RR = 2.35; 95% CI, 1.57-3.51 and RR = 2.43; 95% CI, 1.57-3.74, respectively) control groups. We found no significant differences between psychotherapy and pharmacotherapy (RR = 1.03; 95% CI, 0.88-1.22). The effects were significantly greater for combined treatment compared with psychotherapy alone (RR = 1.35; 95% CI, 1.00-1.81). The difference between combined treatment and pharmacotherapy became significant when limited to studies with low risk of bias and studies limited to cognitive behavior therapy.

CONCLUSIONS

Psychotherapy is likely effective for the treatment of depression when compared with care as usual or waitlist, with effects comparable to those of pharmacotherapy. Combined treatment might be better than either psychotherapy or pharmacotherapy alone.

Taking steps towards deinstitutionalizing mental health care within a low and middle-income country: A cross-sectional study of service user needs in the Republic of Moldova

AIM

The current research was conducted in the context of an ongoing reform of mental health services in the Republic of Moldova since 2014, where efforts have been devoted to creating community-based mental health services. This article presents a snapshot of the needs of mental health service users in the Republic of Moldova and helps to understand how and with which services their needs can be addressed.

METHODS

This cross-sectional study compared the levels of needs (CANSAS scale), quality of life (EQ-5D 3L), mental health status (MINI for psychotic disorders) and functioning (WHO-DAS) among mental health service users in the psychiatric hospital in Chisinau, Moldova. All service users resided in districts where community mental health services were being developed. Correlations between quality of life, functioning and unmet need were explored.

RESULTS

Of 83 participants, one third had a psychotic or a mood disorder. On average, participants reported needs in 9.41 domains (SD = 4.41), of which 4.29 were unmet (SD = 3.63). Most unmet needs related to intimacy and relation to others. The level of functioning and quality of life were reported. We found strong, negative associations between the number of unmet needs and level of functioning, as well as the quality of life. We also found that higher functioning levels were positively associated with higher quality of life.

CONCLUSION

There were a high number of unmet needs among this inpatient population, particularly social needs and service-related needs. A continuum of inpatient and outpatient care and individual treatment plans can help address the different needs of different patients. Individual treatment plans for patients and the choice of the appropriate treatment for patients could be guided by an assessment of service users' (unmet) needs of care and level of functioning.

The effect of rehabilitation combined with cognitive remediation on functioning in persons with severe mental illness: systematic review and meta-analysis

BACKGROUND

Psychiatric rehabilitation (PR) can improve functioning in people with severe mental illness (SMI), but outcomes are still suboptimal. Cognitive impairments have severe implications for functioning and might reduce the effects of PR. It has been demonstrated that performance in cognitive tests can be improved by cognitive remediation (CR). However, there is no consistent evidence that CR as a stand-alone intervention leads to improvements in real-life functioning. The present study investigated whether a combination of PR and CR enhances the effect of a stand-alone PR or CR intervention on separate domains of functioning.

METHOD

A meta-analysis of randomized controlled trials of PR combined with CR in people with SMI was conducted, reporting on functioning outcomes. A multivariate meta-regression analysis was carried out to evaluate moderator effects.

RESULTS

The meta-analysis included 23 studies with 1819 patients. Enhancing PR with CR had significant beneficial effects on vocational outcomes (e.g. employment rate: SMD = 0.41), and social skills (SMD = 0.24). No significant effects were found on relationships and outcomes of community functioning. Effects on vocational outcomes were moderated by years of education, intensity of the intervention, type of CR approach and integration of treatment goals for PR and CR. Type of PR was no significant moderator.

CONCLUSIONS

Augmenting PR by adding cognitive training can improve vocational and social functioning in patients with SMI more than a stand-alone PR intervention. First indications exist that a synergetic mechanism also works the other way around, with beneficial effects of the combined intervention compared with a stand-alone CR intervention.

Effectiveness of CBT for children and adolescents with depression: A systematic review and meta-regression analysis

Background:

Cognitive-behavioral therapy (CBT) is first choice of treatment for depressive symptoms and disorders in adolescents, however improvements are necessary because overall efficacy is low. Insights on CBT components and contextual and structural characteristics might increase the efficacy. The aim of our approach is to evaluate the efficacy of CBT for youth with depression and investigate the influence of specific components, contextual and structural factors that could improve effects.

Methods:

A systematic review of randomized controlled trials was conducted, searches were undertaken in CINAHL, CENTRAL, EMBASE, MEDLINE/PubMed and PsycINFO. Outcomes were meta-analyzed and confidence in results was assessed using the GRADE-method. Meta-regression was used to pinpoint components or other factors that were associated with an in- or decrease of effects of CBT.

Results:

We included 31 trials with 4335 participants. Moderate-quality evidence was found for CBT reducing depressive symptoms at the end of treatment and at follow-up, and CBT as indicated prevention resulted in 63% less risk of being depressed at follow-up. CBT containing a combination of behavioral activation and challenging thoughts component (as part of cognitive restructuring) or the involvement of caregiver(s) in intervention were associated with better outcomes for youth on the long term.

Conclusions:

There is evidence that CBT is effective for youth with a (subclinical) depression. Our analyses show that effects might improve when CBT contains the components behavioral activation and challenging thoughts and also when the caregiver(s) are involved. However, the influential effects of these three moderators should be further tested in RCTs.

Specialized psychotherapies for adults with borderline personality disorder: A systematic review and meta-analysis

OBJECTIVE

Borderline personality disorder affects up to 2% of the population and is associated with poor functioning, low quality of life and increased mortality. Psychotherapy is the treatment of choice, but it is unclear whether specialized psychotherapies (dialectical behavior therapy, mentalization-based treatment, transference-focused therapy and schema therapy) are more effective than non-specialized approaches (e.g. protocolized psychological treatment, general psychiatric management). The aim of this systematic review is to investigate the effectiveness of these psychotherapies.

METHODS

PubMed, PsycINFO, CINAHL, EMBASE and CENTRAL were searched from inception to November 2017. Included randomized controlled trials were assessed on risk of bias and outcomes were meta-analyzed. Confidence in the results was assessed using the Grading of Recommendations Assessment, Development and Evaluation method. The review has been reported following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.

RESULTS

A total of 20 studies with 1375 participants were included. Specialized psychotherapies, when compared to treatment as usual or community treatment by experts, were associated with a medium effect based on moderate quality evidence on overall borderline personality disorder severity (standardized mean difference = -0.59 [95% confidence interval: -0.90, -0.28]), and dialectical behavior therapy, when compared to treatment as usual, with a small to medium effect on self-injury (standardized mean difference = -0.40 [95% confidence interval: -0.66, -0.13]). Other effect estimates were often inconclusive, mostly due to imprecision.

CONCLUSION

There is moderate quality evidence that specialized psychotherapies are effective in reducing overall borderline personality disorder severity. However, further research should identify which patient groups profit most of the specialized therapies.

Psychological interventions for adults with bipolar disorder: systematic review and meta-analysis

BACKGROUND

Psychological interventions may be beneficial in bipolar disorder.

AIMS

To evaluate the efficacy of psychological interventions for adults with bipolar disorder.

METHOD

A systematic review of randomised controlled trials was conducted. Outcomes were meta-analysed using RevMan and confidence assessed using the GRADE method.

RESULTS

We included 55 trials with 6010 participants. Moderate-quality evidence associated individual psychological interventions with reduced relapses at post-treatment (risk ratio (RR) = 0.66, 95% CI 0.48-0.92) and follow-up (RR = 0.74, 95% CI 0.63-0.87), and collaborative care with a reduction in hospital admissions (RR = 0.68, 95% CI 0.49-0.94). Low-quality evidence associated group interventions with fewer depression relapses at post-treatment and follow-up, and family psychoeducation with reduced symptoms of depression and mania.

CONCLUSIONS

There is evidence that psychological interventions are effective for people with bipolar disorder. Much of the evidence was of low or very low quality thereby limiting our conclusions. Further research should identify the most effective (and cost-effective) interventions for each phase of this disorder.

The multidisciplinary depression guideline for children and adolescents: an implementation study

It is important that depressed patients receive adequate and safe care as described in clinical guidelines. The aim of this study was to evaluate the implementation of the Dutch depression guideline for children and adolescents, and to identify factors that were associated with the uptake of the guideline recommendations. The study took place in specialised child and adolescent mental healthcare. An implementation project was initiated to enhance the implementation of the guideline. An evaluation study was performed alongside the implementation project, using structured registration forms and interviews with healthcare professionals. Six multidisciplinary teams participated in the implementation study. The records of 655 patients were analysed. After 1 year, 72% of all eligible patients had been screened for depression and 38% were diagnosed with the use of a diagnostic instrument. The severity of the depression was assessed in 77% of the patients during the diagnostic process, and 41% of the patients received the recommended intervention based on the depression severity. Of the patients that received antidepressants, 25% received weekly checks for suicidal thoughts in the first 6 weeks. Monitoring of the patients' response was recorded in 32% of the patients. A wide range of factors were perceived to influence the uptake of guideline recommendations, e.g. the availability of capable professionals, available time, electronic tools and reminders, and the professionals' skills and attitudes. With the involvement of the teams, recommendations were provided for nationwide implementation of the guideline. In conclusion, a systematic implementation programme using stepped care principles for the allocation of depression interventions seems successful, but there remains room for further improvement.

Implementing a stepped-care approach in primary care: results of a qualitative study

Background

Since 2004, 'stepped-care models' have been adopted in several international evidence-based clinical guidelines to guide clinicians in the organisation of depression care. To enhance the adoption of this new treatment approach, a Quality Improvement Collaborative (QIC) was initiated in the Netherlands.

Methods

Alongside the QIC, an intervention study using a controlled before-and-after design was performed. Part of the study was a process evaluation, utilizing semi-structured group interviews, to provide insight into the perceptions of the participating clinicians on the implementation of stepped care for depression into their daily routines. Participants were primary care clinicians, specialist clinicians, and other healthcare staff from eight regions in the Netherlands. Analysis was supported by the Normalisation Process Theory (NPT).

Results

The introduction of a stepped-care model for depression to primary care teams within the context of a depression QIC was generally well received by participating clinicians. All three elements of the proposed stepped-care model (patient differentiation, stepped-care treatment, and outcome monitoring), were translated and introduced locally. Clinicians reported changes in terms of learning how to differentiate between patient groups and different levels of care, changing antidepressant prescribing routines as a consequence of having a broader treatment package to offer to their patients, and better working relationships with patients and colleagues. A complex range of factors influenced the implementation process. Facilitating factors were the stepped-care model itself, the structured team meetings (part of the QIC method), and the positive reaction from patients to stepped care. The differing views of depression and depression care within multidisciplinary health teams, lack of resources, and poor information systems hindered the rapid introduction of the stepped-care model. The NPT constructs 'coherence' and 'cognitive participation' appeared to be crucial drivers in the initial stage of the process.

Conclusions

Stepped care for depression is received positively in primary care. While it is difficult for the implementation of a full stepped-care approach to occur within a short time frame, clinicians can make progress towards achieving a stepped-care approach, particularly within the context of a QIC. Creating a shared understanding within multidisciplinary teams of what constitutes depression, reaching a consensus about the content of depression care, and the division of tasks are important when addressing the implementation process.

Spirometry and forced oscillometry assisted optimal frequency band determination for the computerized analysis of tracheal lung sounds in asthma

We analysed respiration sounds of individual asthmatic patients, in the scope of the development of a method for computerized recognition of the degree of airway obstruction. Respiration sounds were recorded during laboratory sessions of histamine-provoked airway obstruction. We applied an interpolation technique using supervised artificial neural networks to investigate the optimal frequency band required for studying tracheal asthmatic lung sounds. The optimal band was found to be 100-2300 Hz. The forced expiratory volume in 1 s (FEV1) and the respiratory resistance parameter Rrs(4) were used to describe the degree of airway obstruction that is associated with the lung sounds. By comparing the results obtained with the two parameters, we found that for parametrization of the associated degree of airway obstruction respiratory resistance measurements are preferable over forced expiratory volume measurements.

Lung function interpolation by means of neural-network-supported analysis of respiration sounds

Respiration sounds of individual asthmatic patients were analysed in the scope of the development of a method for computerised recognition of the degree of airways obstruction. Respiration sounds were recorded during laboratory sessions of allergen provoked airways obstruction, during several stages of advancing obstruction. The technique of artificial neural networks was applied for relating sound spectra and simultaneously measured lung function values (spirometry parameter FEV(1)). The ability of feedforward neural networks was tested to interpolate obstruction levels of FEV(1)-classes of which no members were included in the set used for training a network. In this way, a situation was simulated of an existing network recognising a new asthmatic attack under the same physiological conditions. It appeared to be possible to interpolate FEV(1) values, and it is concluded that a deterministic relationship exists between sound spectra and lung function parameter FEV(1). Variance optimisation appeared to be important in optimising the neural network configuration.

Asthmatic airways obstruction assessment based on detailed analysis of respiratory sound spectra

This paper concerns the analysis of adventitious sounds produced by individual asthmatic patients, and relates the sounds to the degree of airways obstruction at the moment of sound recording. In this study, airways obstruction is represented by a parameter commonly used in clinical tests, the forced expiratory volume in one second. A nonrestrictive approach using spectral information in detail is followed, resulting in a fairly high resolution of respiration sounds with respect to airways obstruction. The beneficial effect of a power raising transformation is presented, together with an illumination of the background of this effect.

Classification of asthmatic breath sounds: preliminary results of the classifying capacity of human examiners versus artificial neural networks

For continuous monitoring of the respiratory condition of patients, e.g., at the intensive care unit, computer assistance is required. Existing mechanical devices, such as the peak expiratory flow meter, provide only with incidental measurements. Moreover, such methods require cooperation of the patient, which at, e.g., the ICU is usually not possible. The evaluation of complicated phenomena such as asthmatic respiratory sounds may be accomplished by use of artificial neural networks. To investigate the merit of artificial neural networks, the capacities of neural networks and human examiners to classify breath sounds were compared in this study. Breath sounds were in vivo recorded from 50 school-age children with asthma and from 10 controls. Sound intervals with a duration of 20 seconds were randomly sampled from asthmatics during exacerbation, asthmatics in remission, and controls. The samples were digitized and related to peak expiratory flow. From each interval, two full breath cycles were selected. Of each selected breath cycle, a Fourier power spectrum was calculated. The so-obtained set of spectral vectors was classified by means of artificial neural networks. Humans evaluated graphic displays of the spectra. Human examiners could not clearly discriminate between the three groups by inspecting the spectrograms. Classification by self-classifying neural networks confirmed the existence of at least three classes; however, discrimination of 11 classes seemed more appropriate. Good results were obtained with supervised networks: as much as 95% of the training vectors could be classified correctly, and 43% of the test vectors. The three patient groups, as discriminated in advance, do not correspond with three sharply separated sets of spectrograms. More than three classes seem to be present. Humans cannot take up the spectral complexity and showed negative classification results. Artificial neural networks, however, are able to handle classification tasks and show positive results.

Characteristics and diagnostic significance of spontaneous wheezing in children with asthma: results of continuous in vivo sound recording

The characteristics and diagnostics of wheezing during induced airway obstruction are well documented. The present study addressed (a) the characteristics of spontaneous wheezing with respect to a possible distinction between wheezes during in vivo versus induced airway obstruction, and (b) the relationship between in vivo wheezing and fluctuations in peak expiratory flow (PEF). Tracheal sounds were continuously recorded from 50 children and adolescents with asthma and 10 without asthma in the home environment. Wheezes underwent a qualitative analysis, including their concomitant sound frequencies. Presence of wheezing was scored by two examiners independently and was related to PEF. Spontaneous wheeze varied from solitary rhonchi to prolonged rhythms of loud stridor, and resembled the "induced" wheezes recorded previously. Power spectra showed that the spectral contents (frequency distribution) were comparable, although the in vivo patterns were more prolonged in duration. The diagnostic sensitivity and specificity of wheezing for a reduction in PEF of >20% were 88% and 92%, respectively. It was concluded that in vivo wheeze resembled induced wheeze and was a diagnostically reliable symptom with respect to asthma exacerbations.