An evaluation of pathology laboratory workforce performance during mergers and acquisitions.

The effects of laboratory mergers and acquisitions on the clinical performance of its workforce remain largely unknown. This study examined laboratory professionals' work engagement and productivity, and investigated the role of social support as a moderator during mergers and acquisitions. A 51 question on-line survey was designed to cover demographics, work engagement, productivity, and levels of social support. A sample t test was used to measure work engagement levels between laboratory professionals with higher social support to others with lower support. The finding that laboratory professionals with higher levels of social support are more engaged and productive at the workplace has important policy implications for leaders managing laboratories in times of mergers and acquisitions.

Outcomes Following a False-Positive Multi-Cancer Early Detection Test: Results from DETECT-A, the First Large, Prospective, Interventional MCED Study.

Guideline recommended standard of care screening is available for four cancer types; most cancer-related deaths are caused by cancers without standard of care screening. DETECT-A is the first prospective interventional trial evaluating a multi-cancer early detection (MCED) blood test (CancerSEEK) in women without a history of cancer, providing the first opportunity to assess the long-term outcomes of individuals with false-positive (FP) MCED results. This prospective analysis of DETECT-A participants with FP results evaluates the performance of an imaging-based diagnostic workflow and examines cancer risk following a FP result. This analysis included all DETECT-A participants with a positive CancerSEEK test and subsequent flourine-18 fluorodeoxyglucose positron emission tomography-IV contrast-enhanced computed tomography (18-F-FDG PET-CT) imaging and clinical workup indicating no evidence of cancer within 1 year of enrollment (n = 98). Medical records, study interactions, and study surveys were used to assess cancer incidence, treatments, and clinical outcomes through August 2023. Ninety-five of 98 participants with a FP result remained cancer-free with a median follow-up of 3.6 years (IQR: 2.5-4.1) from determination of FP status. Three incident cancers were observed over the follow-up period. One bilateral stage IIIC ovarian cancer was diagnosed 1.9 years after determination of FP status; two stage I breast cancers were diagnosed 0.1 and 1.6 years from determination of FP status. The annual incidence rate of cancer during follow-up from FP determination was 1.0% (95% confidence interval, 0.2%-2.8%). Participants with a positive CancerSEEK test who underwent 18-F-FDG PET-CT and clinical workup without cancer findings had low risk for cancer over the following several years. Prevention Relevance: This study provides multiyear clinical outcomes data following a false-positive multi-cancer early detection test for individuals participating in a prospective interventional trial. It provides a preliminary performance assessment of an imaging-based diagnostic workflow following a false-positive multi-cancer early detection test.

Multi-year clinical outcomes of cancers diagnosed following detection by a blood-based multi-cancer early detection (MCED) test.

In the U.S., <20% of cancers are diagnosed by standard-of-care (SoC) screening. Multi-cancer early detection (MCED) tests offer the opportunity to expand cancer screening. Understanding the characteristics and clinical outcomes of MCED-detected cancers is critical to clarifying MCED tests' potential impact. DETECT-A is the first prospective interventional trial of an MCED blood test (CancerSEEK). CancerSEEK, coupled with diagnostic PET-CT, identified cancers including those not detected by SoC screening, the majority of which were localized or regional. We report multi-year outcomes in patients with cancers diagnosed following a positive CancerSEEK test. Nine cancer types were diagnosed in 26 participants whose cancers were first detected by CancerSEEK. Information on cancer diagnoses, treatments, and clinical outcomes was extracted from medical records through November 2022. Data collection occurred a median of 4.4 years (IQR: 4.1-4.6) following study enrollment. Thirteen of 26 (50%) participants were alive and cancer-free [ovarian (4), thyroid (1), uterine (2), breast (1), colorectal (2), and lung (3)]; 7/13 (54%) had cancers without recommended SoC screening modalities. All 8 treated stage I or II participants (8/8, 100%) and 12/14 (86%) surgically-treated participants were alive and cancer-free. Eligibility for surgical treatment was associated with favorable multi-year outcomes (p = 0.0002). Half of participants with MCED-detected cancers were alive and cancer-free after 4.4 years median follow-up. Most were diagnosed with early-stage cancers and were treated surgically. These results suggest that early cancer detection by CancerSEEK may have facilitated curative-intent treatments and associated positive clinical outcomes in some DETECT-A participants.

Outcomes following a false positive multi-cancer early detection (MCED) test: Results from DETECT-A, the first large, prospective, interventional MCED study.

Guideline recommended standard of care (SoC) screening is available for four cancer types; most cancer-related deaths are caused by cancers without SoC screening. DETECT-A is the first prospective interventional trial evaluating an MCED blood test (CancerSEEK) in women without a history of cancer, providing the first opportunity to assess the long-term outcomes of individuals with false positive (FP) MCED results. This prospective analysis of DETECT-A participants with FP results evaluates the performance of an imaging-based diagnostic workflow and examines cancer risk following a FP result. This analysis included all DETECT-A participants with a positive CancerSEEK test and subsequent flourine-18 fluorodeoxyglucose positron emission tomography-IV contrast enhanced computed tomography (18-F-FDG PET-CT) imaging and clinical workup indicating no evidence of cancer within one year of enrollment (n=98). Medical records, study interactions, and study surveys were used to assess cancer incidence, treatments, and clinical outcomes through August 2023. Ninety-five of 98 participants with a FP result remained cancer-free with a median follow-up of 3.6 years (IQR: 2.5-4.1) from determination of FP status. Three incident cancers were observed over the follow-up period. One bilateral stage IIIC ovarian cancer was diagnosed 1.9 years after determination of FP status; two stage I breast cancers were diagnosed 0.1 and 1.6 years from determination of FP status. The annual incidence rate of cancer during follow-up from FP determination was 1.0% (95% CI: 0.2%-2.8%). Participants with a positive CancerSEEK test who underwent 18-F-FDG PET-CT and clinical workup without cancer findings had low risk for cancer over the following several years.

Engineered virus-like particles for transient delivery of prime editor ribonucleoprotein complexes in vivo.

Prime editing enables precise installation of genomic substitutions, insertions and deletions in living systems. Efficient in vitro and in vivo delivery of prime editing components, however, remains a challenge. Here we report prime editor engineered virus-like particles (PE-eVLPs) that deliver prime editor proteins, prime editing guide RNAs and nicking single guide RNAs as transient ribonucleoprotein complexes. We systematically engineered v3 and v3b PE-eVLPs with 65- to 170-fold higher editing efficiency in human cells compared to a PE-eVLP construct based on our previously reported base editor eVLP architecture. In two mouse models of genetic blindness, single injections of v3 PE-eVLPs resulted in therapeutically relevant levels of prime editing in the retina, protein expression restoration and partial visual function rescue. Optimized PE-eVLPs support transient in vivo delivery of prime editor ribonucleoproteins, enhancing the potential safety of prime editing by reducing off-target editing and obviating the possibility of oncogenic transgene integration.

Real-time motion management in MRI-guided radiotherapy: Current status and AI-enabled prospects.

MRI-guided radiotherapy (MRIgRT) is a highly complex treatment modality, allowing adaptation to anatomical changes occurring from one treatment day to the other (inter-fractional), but also to motion occurring during a treatment fraction (intra-fractional). In this vision paper, we describe the different steps of intra-fractional motion management during MRIgRT, from imaging to beam adaptation, and the solutions currently available both clinically and at a research level. Furthermore, considering the latest developments in the literature, a workflow is foreseen in which motion-induced over- and/or under-dosage is compensated in 3D, with minimal impact to the radiotherapy treatment time. Considering the time constraints of real-time adaptation, a particular focus is put on artificial intelligence (AI) solutions as a fast and accurate alternative to conventional algorithms.

A mixed-methods study on the use of a nongynecological virtual microscopy platform in cytology education.

OBJECTIVES: Expanding the virtual microscopy (VM) slide collection for nongynecological cytology is important to teaching. In a mixed-methods approach, this study evaluated VM's performance and user experience to determine its feasibility and usage in an educational setting. METHODS: From September through October 2022, the students reviewed 44 whole-slide imaged nongynecological slides. The concordance rate with reference diagnosis was compared with that from light microscopy (LM) from 4 months earlier. In addition to assessing the overall performance from VM, imaged urinary cytology's accuracy was reviewed for both urinary and nonurinary cytology. Finally, the students' weekly feedback logs were analyzed to gain insights for improving the digital screening experience. RESULTS: The overall nongynecological diagnostic accuracy was significant between the 2 screening platforms (P < .001), favoring LM over the VM platform. Light microscopy also performed better than VM in urine cytology cases, with 84.2% concordance against reference diagnosis, compared with 61.1% for the VM platform (P = .03). As for the accuracy of nonurinary cases, its glass slide (LM) agreement with the reference diagnosis was also superior at 84.8%, compared with 58.8% for VM (P = .03). Finally, the overarching theme discerned from reviewing the user logs was concern over image quality, which was mentioned 76 times. CONCLUSIONS: The VM results were poorer compared with LM in our validation. Its use seems promising, but more focus is needed to improve the VM screening platform.

HPV Primary and Co-testing: An Ethical Analysis Exploring the Role of Cytology in Cervical Cancer Screening and Management.

With the advancement in our understanding of the causative agents involved with cancer, there has been a considerable amount of debate within the laboratory and cytology community regarding how best to screen for cervical cancer. This paper attempts to review the three different approaches to cervical cancer screening through the lens of the four facie prima principles of biomedical ethics, including the respect for autonomy, principle of beneficence, non-maleficence, and justice. Analyzing the debate on cervical cancer screening platforms through the lens of the four principles of biomedical ethics ensures a comprehensive examination of all facets of the discussion, including a review of not only benefits and harm but also ensures that the final policy is fair and respectful for all the stakeholders. The conclusion from the analysis favors the use of co-testing but also supports making HPV primary and Pap testing viable options, depending on the needs of the community, patients, and providers.

Geometric control of tilt transition dynamics in single-clamped thermalized elastic sheets.

We study the finite-temperature dynamics of thin elastic sheets in a single-clamped cantilever configuration. This system is known to exhibit a tilt transition at which the preferred mean plane of the sheet shifts from horizontal to a plane above or below the horizontal. The resultant thermally roughened two-state (up/down) system possesses rich dynamics on multiple timescales. In the tilted regime a finite-energy barrier separates the spontaneously chosen up state from the inversion-symmetric down state. Molecular dynamics simulations confirm that, over sufficiently long time, such thermalized elastic sheets transition between the two states, residing in each for a finite dwell time. One might expect that temperature is the primary driver for tilt inversion. We find, instead, that the primary control parameter, at fixed tilt order parameter, is the dimensionless and purely geometrical aspect ratio of the clamped width to the total length of the otherwise-free sheet. Using a combination of an effective mean-field theory and Kramers' theory, we derive the transition rate and examine its asymptotic behavior. At length scales beyond a material-dependent thermal length scale, renormalization of the elastic constants qualitatively modifies the temperature response. In particular, the transition is suppressed by thermal fluctuations, enhancing the robustness of the tilted state. We check and supplement these findings with further molecular dynamics simulations for a range of aspect ratios and temperatures.

Experimental comparison of linear regression and LSTM motion prediction models for MLC-tracking on an MRI-linac.

BACKGROUND: Magnetic resonance imaging (MRI)-guided radiotherapy with multileaf collimator (MLC)-tracking is a promising technique for intra-fractional motion management, achieving high dose conformality without prolonging treatment times. To improve beam-target alignment, the geometric error due to system latency should be reduced by using temporal prediction. PURPOSE: To experimentally compare linear regression (LR) and long-short-term memory (LSTM) motion prediction models for MLC-tracking on an MRI-linac using multiple patient-derived traces with different complexities. METHODS: Experiments were performed on a prototype 1.0 T MRI-linac capable of MLC-tracking. A motion phantom was programmed to move a target in superior-inferior (SI) direction according to eight lung cancer patient respiratory motion traces. Target centroid positions were localized from sagittal 2D cine MRIs acquired at 4 Hz using a template matching algorithm. The centroid positions were input to one of four motion prediction models. We used (1) a LSTM network which had been optimized in a previous study on patient data from another cohort (offline LSTM). We also used (2) the same LSTM model as a starting point for continuous re-optimization of its weights during the experiment based on recent motion (offline+online LSTM). Furthermore, we implemented (3) a continuously updated LR model, which was solely based on recent motion (online LR). Finally, we used (4) the last available target centroid without any changes as a baseline (no-predictor). The predictions of the models were used to shift the MLC aperture in real-time. An electronic portal imaging device (EPID) was used to visualize the target and MLC aperture during the experiments. Based on the EPID frames, the root-mean-square error (RMSE) between the target and the MLC aperture positions was used to assess the performance of the different motion predictors. Each combination of motion trace and prediction model was repeated twice to test stability, for a total of 64 experiments. RESULTS: The end-to-end latency of the system was measured to be (389 ± 15) ms and was successfully mitigated by both LR and LSTM models. The offline+online LSTM was found to outperform the other models for all investigated motion traces. It obtained a median RMSE over all traces of (2.8 ± 1.3) mm, compared to the (3.2 ± 1.9) mm of the offline LSTM, the (3.3 ± 1.4) mm of the online LR and the (4.4 ± 2.4) mm when using the no-predictor. According to statistical tests, differences were significant (p-value <0.05) among all models in a pair-wise comparison, but for the offline LSTM and online LR pair. The offline+online LSTM was found to be more reproducible than the offline LSTM and the online LR with a maximum deviation in RMSE between two measurements of 10%. CONCLUSIONS: This study represents the first experimental comparison of different prediction models for MRI-guided MLC-tracking using several patient-derived respiratory motion traces. We have shown that among the investigated models, continuously re-optimized LSTM networks are the most promising to account for the end-to-end system latency in MRI-guided radiotherapy with MLC-tracking.

Association of Low Vitamin D Level with Pelvic Organ Prolapse in Post Menopausal Women: A Case Control Study.

Pelvic organ prolapse refers to protrusion of the pelvic organ into or out of the vaginal canal. One in four women in the USA suffer from some type of pelvic floor disorder including pelvic organ prolapse and frequency of pelvic organ prolapse is more with increasing age. In Bangladesh, 15.6% women suffered from pelvic organ prolapse and more than 11.0% of women require surgical correction of prolapse in their life times. According to few researches, there is an observed association between low vitamin D levels with pelvic organ prolapse but this finding is not unequivocal. This case control study has been conducted in the Department of Obstetrics and Gynaecology, Bangabandhu Sheikh Mujib Medical University (BSMMU), Bangladesh from October 2018 to August 2020 to investigate the level of vitamin D in patients with and without pelvic organ prolapse to explore the association of low vitamin D with pelvic organ prolapse. A total 148 participants of 52 years or older attending the out or inpatient department were enrolled in the study. The study population was divided into two groups, a case group (n=74) consisting of patients with pelvic organ prolapse and a control group (n=74) comprising of women without pelvic organ prolapse. After taking informed written consent the serum vitamin D level of all participants was measured by CMIA technology with flexible assay protocols at Biochemistry and Molecular Biology department of the same institute. All necessary Data were collected on variables of interest by using the structured questionnaire pre-designed for interview, observation, clinical examination, and biochemical Data collection. Distributions were expressed by mean and standard deviation for continuous variables and by frequency and percentage for qualitative variables. Student's t-test and Chi square test were done to see the significance of differences between Group I and Group II. Odds ratio, correlation coefficient, and multivariate logistic regression analysis was done to assess the association of low vitamin D level with pelvic organ prolapse. Mean±SD level of Vitamin D in the case group was 13.96±5.18ng/ml and in the control group was 21.08±5.77ng/ml respectively. The difference was statistically significant (p<0.05). Moreover, the vitamin D levels were inversely proportionate with the severity of pelvic organ prolapse. OR (95% CI), of two groups showed risk of developing pelvic organ prolapse 5.63 times higher in women with decreased vitamin D level. Thus it can be concluded that women having low level of vitamin D have more chance of developing pelvic organ prolapse.

Novel Validated Five-point Photonumeric Scales for Assessment of Static and Dynamic Forehead Lines.

Background: The objective of this investigation was to create and validate five-point photonumeric scales which assess static and dynamic forehead lines. Methods: Two different novel five-point photonumeric scales for the assessment of static and dynamic forehead lines were developed. Moreover, a photoguide was created, including subjects from both sexes, all age groups, and different Fitzpatrick skin types. A total of 11 raters from all over the world were involved in the digital validation, whereas four raters performed a live validation. Results: The Croma Static Forehead Lines-Assessment Scale showed almost perfect inter and intra-rater agreement in both the digital and the live setting with inter-rater intraclass correlation coefficients of 0.86 [95% confidence interval (CI): 0.82-0.89] in the first digital rating and 0.82 [95% CI: 0.78-0.86] in the second digital rating. The Croma Dynamic Forehead Lines-Assessment Scale showed almost perfect inter and intra-rater agreement in the digital setting with inter-rater intraclass correlation coefficients of 0.83 [95% CI: 0.79-0.86] in the first digital rating and 0.80 [95% CI: 0.75-0.84] in the second rating and almost substantial agreement in the live setting. Conclusions: The Croma Static Forehead Lines-Assessment Scale and the Croma Dynamic Forehead Lines-Assessment Scale have excellent inter and intra-rater agreements to be justifiably used in the clinical and study setting, both digitally and live across ethnic groups.

Distortion-corrected image reconstruction with deep learning on an MRI-Linac.

PURPOSE: MRI is increasingly utilized for image-guided radiotherapy due to its outstanding soft-tissue contrast and lack of ionizing radiation. However, geometric distortions caused by gradient nonlinearities (GNLs) limit anatomical accuracy, potentially compromising the quality of tumor treatments. In addition, slow MR acquisition and reconstruction limit the potential for effective image guidance. Here, we demonstrate a deep learning-based method that rapidly reconstructs distortion-corrected images from raw k-space data for MR-guided radiotherapy applications. METHODS: We leverage recent advances in interpretable unrolling networks to develop a Distortion-Corrected Reconstruction Network (DCReconNet) that applies convolutional neural networks (CNNs) to learn effective regularizations and nonuniform fast Fourier transforms for GNL-encoding. DCReconNet was trained on a public MR brain dataset from 11 healthy volunteers for fully sampled and accelerated techniques, including parallel imaging (PI) and compressed sensing (CS). The performance of DCReconNet was tested on phantom, brain, pelvis, and lung images acquired on a 1.0T MRI-Linac. The DCReconNet, CS-, PI-and UNet-based reconstructed image quality was measured by structural similarity (SSIM) and RMS error (RMSE) for numerical comparisons. The computation time and residual distortion for each method were also reported. RESULTS: Imaging results demonstrated that DCReconNet better preserves image structures compared to CS- and PI-based reconstruction methods. DCReconNet resulted in the highest SSIM (0.95 median value) and lowest RMSE (<0.04) on simulated brain images with four times acceleration. DCReconNet is over 10-times faster than iterative, regularized reconstruction methods. CONCLUSIONS: DCReconNet provides fast and geometrically accurate image reconstruction and has the potential for MRI-guided radiotherapy applications.

Association between Covid-19 vaccination and incidence of type 1 diabetes in China: Evidence from 14.14 million registered residents between 2007 and 2021.

AIMS: Reports have suggested that COVID-19 vaccination may cause Type 1 diabetes (T1D), particularly fulminant T1D (FT1D). This study aimed to investigate the incidence of T1D in a general population of China, where>90% of the people have received three injections of inactivated SARS-Cov-2 vaccines in 2021. METHODS: A population-based registry of T1D was performed using data from the Beijing Municipal Health Commission Information Center. Annual incidence rates were calculated by age group and gender, and annual percentage changes were assessed using Joinpoint regression. RESULTS: The study included 14.14 million registered residents, and 7,697 people with newly diagnosed T1D were identified from 2007 to 2021. T1D incidence increased from 2.77 in 2007 to 3.84 per 100,000 persons in 2021. However, T1D incidence was stable from 2019 to 2021, and the incidence rate did not increase when people were vaccinated in January-December 2021. The incidence of FT1D did not increase from 2015 to 2021. CONCLUSIONS: The findings suggest that COVID-19 vaccination did not increase the onset of T1D or have a significant impact on T1D pathogenesis, at least not on a large scale.

Low prevalence of communication between intensive care unit medical staff and general practitioners: A single-centre retrospective study.

BACKGROUND: General practitioners (GPs) have a central role in delivering care to the Australian community, which includes coordinating management of chronic diseases and treatment of patients after admission to intensive care units (ICUs). Consultations between ICUs and GPs may become increasingly relevant as patients of advancing age and chronic disease burden are admitted to ICUs. However, how frequently and for what reason such consultations occur remain unclear. OBJECTIVES: The objective of this study was to determine the prevalence and themes of consultations between ICU medical staff and GPs. METHODS: Ten years of electronic medical records in the ICU of a regional Australian hospital were searched for patient admissions documenting the terms "gp", "general p∗", or "primary care∗" anywhere throughout the record. The proportion of ICU admissions in which a consultation between ICU staff members and GPs was documented was recorded along with the reason/s for the consultation and designation (resident, registrar, consultant) of those who communicated with the GP. MAIN OUTCOME MEASURES: Main outcome measures included the proportion of ICU admissions with a documented consultation between ICU staff and GPs, theme of the consultation, and designation (resident, registrar, consultant) of those who communicated with the GP. RESULTS: Of 13 402 admissions to the ICU, 137 (1.02%) had a documented consultation between ICU medical staff and GPs. Most consultations (n = 116, 85%) were initiated by junior ICU medical staff members seeking clinical information from the GPs. Few consultations were to discuss goals of care (n = 10, 7.3%) or care following ICU discharge (n = 15, 11%). CONCLUSIONS: Consultations between ICU medical staff and GPs were infrequent. Further research is required on how best to integrate the health care provided by ICUs and GPs.

Novel, Validated, 5-Point Photonumeric Scales for Assessment of the Perioral Region.

BACKGROUND: The use of validated scales is still considered the gold standard for evaluating the severity of an aesthetic facial condition. OBJECTIVES: The aim of this investigation was to create and validate 5-point photonumeric scales for the assessment of perioral lines and marionette lines. METHODS: A medical team created 2 different novel 5-point photonumeric scales for the assessment of perioral lines and marionette lines. Eleven international raters were involved in the digital validation, and 4 raters performed a live validation. RESULTS: For the Croma Static Perioral Lines-Assessment Scale, the digital interrater intraclass correlation coefficients (ICCs) were 0.88 (95% CI, 0.85-0.91) in the first rating and 0.87 (95% CI, 0.83-0.90) in the second rating. The digital intrarater ICCs were 0.90 (95% CI, 0.87-0.92). In the live rating, the interrater ICCs were 0.89 (95% CI, 0.85-0.93) in the first rating and 0.91 (95% CI, 0.87-0.93) in the second rating with an intrarater ICC of 0.91 (95% CI, 0.88-0.95). For the Croma Marionette Lines-Assessment Scale, the digital rating interrater ICCs were 0.85 (95% CI, 0.81-0.89) in the first rating and 0.87 (95% CI, 0.84-0.90) in the second rating with an intrarater ICC of 0.89 (95% CI, 0.88-0.91). In the live rating, the interrater ICCs were 0.73 (95% CI, 0.54-0.83) in the first rating and 0.79 (95% CI, 0.65-0.87) in the second rating with an intrarater ICC of 0.88 (95% CI, 0.83-0.94). CONCLUSIONS: The Croma Static Perioral Lines-Assessment Scale and the Croma Marionette Lines-Assessment Scale have exceptional inter- and intrarater agreements that justify their use in clinical and study settings for all ethnic groups.

Cellulite: Current Treatments, New Technology, and Clinical Management.

BACKGROUND: Cellulite is a well-known concern for many women; however, treatment can prove challenging because of the complexities of cellulite etiology, the various factors contributing to its appearance, and the multitude of therapies and procedures available. OBJECTIVE: To discuss current cellulite treatment options and effective clinical management. METHODS: A roundtable meeting was convened to discuss and share views on current cellulite treatment options, new technologies, and clinical management. The participants' views helped guide a narrative review on this topic. RESULTS: Advanced interventions for cellulite treatment-such as physical and acoustic subcision, radiofrequency, and injectable biostimulators-are gradually being established, with accumulating evidence showing efficacy, patient satisfaction, and potentially long-lasting outcomes. Cellulite severity rating scales are necessary for assessing treatment outcomes, but these can be complex to use in clinical practice, and the majority do not include patient or clinician perspectives. CONCLUSION: With the advent of new treatments and technologies, cosmetic surgeons and dermatologists will need to tailor their approach to each patient's needs and manage patient expectations because multimodal methods are likely to be required to address the various factors underlying cellulite appearance.

Evaluating the use of virtual microscopy in cytology education.

INTRODUCTION: Whole slide imaging is a promising tool for cytology. In the present study, we assessed the performance of and user experience with virtual microscopy (VM) to determine its feasibility and usage in an educational setting. MATERIALS AND METHODS: From January 1 through August 31, 2022, 46 Papanicolaou slides, of which 22 (48%) were abnormal, 23 (50%) were negative, and 1 (2%) was unsatisfactory, were reviewed by the students using both VM and light microscopy (LM) platforms. In addition to assessing VM's overall performance, the SurePath imaged slides' accuracy was reviewed as a potential alternative to ThinPrep because of its cloud storage advantage. Finally, the students' weekly feedback logs were analyzed to gain insights for improving the digital screening experience. RESULTS: The overall diagnostic concordance difference was significant between the 2 screening platforms (Z = 5.38; P < 0.001), favoring LM (86% correct diagnosis) over VM (70% correct diagnosis). The overall sensitivity of VM and LM was 54.0% and 89.6%, respectively. VM also had an overall higher specificity (91.8%) compared with LM (81.3%). LM performed better than whole slide imaging for the correct identification of an organism when one was present, with 77.6% sensitivity compared with 58.9% for the digital platform. The rate of agreement for the SurePath imaged slides with the reference diagnosis was 74.3% compared with 65.7% for the ThinPrep slides. Finally, 4 themes were discerned from reviewing the user logs, with issues about image quality and the lack of fine focus functionality most frequently mentioned, followed by themes associated with a higher learning curve and novelty associated with the digital screening. CONCLUSIONS: Although the VM results were poorer than the LM results in our validation, its use in an educational setting is promising considering the continued technological improvements and the renewed focus on improving the digital user experience.