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AimsThere is a lack of published literature on the diagnostic reproducibility of oesophageal squamous dysplasia using a two‐tiered grading system.Methods and resultsWe identified 75 oesophageal biopsies, which were reviewed by 10 international pathologists twice (1500 total observations) with a > 4‐week washout period. Between rounds, a consensus meeting refining diagnostic criteria was held and an atlas was created to provide illustrations. Overall agreement was fair with kappa of 0.35 and 0.32 in round 1 and 2, respectively. Agreement was moderate to fair for negative for dysplasia (ND) (round 1 = 0.41 and round 2 = 0.34) and poor for indefinite for dysplasia (IND) and low‐grade dysplasia (LGD) (kappa <0.2). Agreement for high‐grade dysplasia (HGD) was good in both rounds (round 1 = 0.64; round 2 = 0.61). In round 1, majority diagnosis (MDx, ≥6 of 10 raters agreeing) was seen in 51 (68%) cases with the majority classified as ND (N = 27) or HGD (N = 18). MDx was rarely achieved for LGD (N = 6). In round 2, MDx was seen in 49 (65%) cases (20 ND, 1 IND, 11 LGD and 17 HGD). Of the 40 cases with MDx for both rounds, 39 were concordant (15 HGD, 6 LGD and 18 ND).ConclusionsOverall agreement among pathologists in diagnosing squamous lesions is fair; however, HGD had good agreement. This study fills an important gap in our knowledge of the inter‐rater variability in the diagnosis of oesophageal squamous dysplasia.

OBJECTIVE Coexisting medical conditions are increasingly prevalent in surgical populations. The impact of multiple comorbidities on patient-reported outcomes (PROs) and endotypes of frequently co-occurring conditions for cervical spondylotic myelopathy (CSM) remain unclear. This study explores whether CSM patients with multimorbidity have worse baseline and postoperative PROs and less functional improvement after surgery compared to those with few or no comorbidities. The authors also investigated whether distinct comorbidity endotypes exist among CSM surgical patients and whether they influence postoperative outcomes. METHODS The prospective Quality Outcomes Database (QOD) was used to assess patients undergoing surgery for CSM. Multimorbidity was defined as ≥ 2 chronic conditions, including diabetes, coronary artery disease, peripheral vascular disease, arthritis, chronic renal disease, chronic obstructive pulmonary disease, Parkinson’s disease, multiple sclerosis, depression, and anxiety. Baseline characteristics and 24-month PROs were assessed across multiple-comorbidity status, including modified Japanese Orthopaedic Association (mJOA), Neck Disability Index (NDI), visual analog scale for neck and arm pain, EQ-5D, and patient satisfaction scores. Clusters were identified from the full cohort using k-medoids, revealing subgroups with similar comorbidity endotypes. RESULTS The final cohort included 1141 CSM patients (83.1% reaching 24-month follow-up), with 761 (66.7%) having 0 or 1 comorbidity and 380 (33.3%) ≥ 2 comorbidities. The multimorbidity cohort was older (mean age 62.6 ± 11.2 vs 59.5 ± 12.0 years, p < 0.001), more likely to be female (52.9% vs 44.7%, p = 0.011), and had a higher BMI (mean 31.1 ± 6.7 vs 29.7 ± 6.2 kg/m 2 , p < 0.001). Multimorbidity patients exhibited worse mJOA, NDI, and EQ-5D scores at baseline and 24 months (p < 0.05). On multivariable analysis, the total number of comorbidities was not significantly associated with any PRO measures. Four comorbidity clusters were identified: low burden, arthritis, diabetes, and high burden. On one-way ANOVA, the baseline mJOA score was significantly different across clusters (p = 0.003). At 24 months, the mJOA score was significantly lower in the diabetes and high-burden endotypes. Twenty-four-month score change and minimal clinically important difference (MCID) achievement of all PROs remained similar across clusters (p > 0.05). CONCLUSIONS While patients with multimorbidity have worse baseline and postoperative PROs, they achieve similar functional and pain-related improvements following CSM surgery. Similarly, the comorbidity endotypes identified in this QOD cohort suggest that certain patterns of coexisting chronic conditions, such as overlapping diabetes and arthritis, are associated with different levels of disability but may not diminish the effectiveness of surgical intervention.

OBJECTIVE The aim of this study was to evaluate mortality and progression outcomes in patients undergoing stereotactic radiosurgery (SRS) for breast cancer brain metastases and to identify associated risk factors using a national quality registry. METHODS The NeuroPoint Alliance (NPA) SRS Registry was employed for this study, which conducted prospective enrollment of patients undergoing SRS at 16 participating centers from 2017 to 2024. Outcomes of interest included the post-SRS EQ-5D score change, overall survival, local progression, out-of-field progression, and overall intracranial progression. For all time-to-event analyses, Kaplan-Meier curves and multivariable Cox regressions with hazard ratios were used. RESULTS A total of 138 patients (127 female, mean age 59.8 years) were identified; 46.4% had a single lesion, 42.0% had 2–4 lesions, and 11.6% had ≥ 5 lesions, while 87.0% had a Karnofsky Performance Status (KPS) score between 80 and 100. The median overall survival was 17.9 months, and independent predictors of all-cause mortality included a KPS score ≤ 90 (HR 6.73) and diabetes mellitus (HR 3.35). The median time to local progression was 19.8 months. More than 5 lesions at baseline (HR 9.03) and a marginal dose ≤ 17.6 Gy (HR 8.00) were predictive of local recurrence. The median was not reached for out-of-field progression, and predictors included ≥ 2 lesions at the time of SRS (HR 3.20) and a marginal dose ≤ 17.6 Gy (HR 4.61). At the final follow-up assessment, 17.1% of patients experienced no change according to the EQ-5D, while 34.3% had improvement, 11.4% had mixed results, and 37.1% had worsened health. In the multivariable linear regression model, pre-SRS resection (r = 1.92) and baseline EQ-5D score (r = 1.29) were statistically significant predictors of quality of life at the final follow-up assessment. CONCLUSIONS Using real-world data from the NPA SRS Registry, this study demonstrated comparable outcomes in patients who underwent SRS for breast cancer brain metastases compared with those of previous literature. The number of lesions at the time of SRS and the marginal dose were independent risk factors for local recurrence, out-of-field progression, and overall intracranial progression. Pre-SRS resection and baseline EQ-5D score were independent predictors of quality of life following SRS.

ABSTRACTIntroductionEsophageal dysmotility following metabolic bariatric surgery (MBS) may relate to decreased gastric compliance. We investigated high‐resolution esophageal manometry (HRM) and secondary peristalsis assessed by functional lumen imaging probe (FLIP) and their association with intragastric pressure after MBS.MethodsPatients undergoing HRM, FLIP, and barium esophagram (BE) after MBS were included. HRM metrics and proximal intragastric pressure at baseline (IGP baseline), during wet swallow‐induced esophagogastric junction relaxation (IGP EGJ opening), and following wet swallow‐induced esophagogastric junction opening with subsequent closure (IGP post EGJ closure) were measured. Contractile response was assessed during FLIP.ResultsForty patients (26 Roux en Y gastric bypass, 14 sleeve gastrectomy) with FLIP a median of 4 years after MBS, were identified. HRM was normal or consistent with ineffective esophageal motility (IEM) in 33 (82.5%) patients, while the contractile response on FLIP was abnormal (disordered/impaired, absent, or spastic reactive) in 28 (70%). Delayed emptying on BE was numerically more frequent with abnormal FLIP (6% vs. 0%, p = 0.08). IGP post‐EGJ closure (median 21.8 vs. 15 mmHg, p = 0.03) and ∆ IGP post‐EGJ closure—IGP baseline (median 4 vs. 0 mmHg, p = 0.02) were greater and predictive of abnormal contractility on FLIP (OR 1.11, 95% CI 1.00–1.2, p = 0.03 and OR 1.6, 95% CI 1.07–2.39, p = 0.003, respectively).DiscussionAbnormal contractility on FLIP, reflecting disordered secondary peristalsis, frequently occurs despite normal HRM findings after MBS. Secondary peristalsis may be associated with reduced gastric compliance, reflected by elevated proximal intragastric pressure. FLIP contractility could serve as an early marker for post‐MBS esophageal dysfunction.

We investigated the prognostic impact of blast counts, TP53 allelic state determinants (number of hits, del(17p), variant allele frequency, complex karyotype),and a novel karyotypic clonal cell fraction (≤50% clonal cells vs >50% clonal cells (termed ‘CK50’)) in 495 individuals with TP53- mutated ( TP53 MUT ) myeloid neoplasms. Outcome examined was 24-month survival (OS24). The cohort (median age 71) included 29% (144/495) myelodysplastic syndromes (MDS)/MDS-acute myeloid leukaemia (AML) (1%–19% blasts) and 71% (351/495) AML (≥20% blasts), with 18% (81/460) having low CK50. Overall, 83% received front-line hypomethylating agents. Higher blast counts (<20% vs ≥20%) were marginally associated with CK50 (p=0.08). In the OS24 analysis, blast count showed a marginal association with OS24 (HR 1.3 (95% CI 1.0 to 1.6); p=0.07), while CK50 predicted significantly inferior outcomes (HR=1.7 (95% CI 1.2 to 2.3); p=0.002). In a multivariable model including all TP53 allelic state determinants, only CK50 and complex karyotype remained relevant for predicting adverse outcomes.

The translation of AI-generated brain metastases (BM) segmentation into clinical practice relies heavily on diverse, high-quality annotated medical imaging datasets. The BraTS-METS 2023 challenge has gained momentum for testing and benchmarking algorithms using rigorously annotated internationally compiled real-world datasets. This study presents the results of the segmentation challenge and characterizes the challenging cases that impacted the performance of the winning algorithms. Untreated brain metastases on standard anatomic MRI sequences (T1, T2, FLAIR, T1PG) from eight contributed international datasets were annotated in stepwise method: published UNET algorithms, student, neuroradiologist, final approver neuroradiologist. Segmentations were ranked based on lesion-wise Dice and Hausdorff distance (HD95) scores. False positives (FP) and false negatives (FN) were rigorously penalized, receiving a score of 0 for Dice and a fixed penalty of 374 for HD95. The mean scores for the teams were calculated. Eight datasets comprising 1303 studies were annotated, with 402 studies (3076 lesions) released on Synapse as publicly available datasets to challenge competitors. Additionally, 31 studies (139 lesions) were held out for validation, and 59 studies (218 lesions) were used for testing. Segmentation accuracy was measured as rank across subjects, with the winning team achieving a LesionWise mean score of 7.9. The Dice score for the winning team was 0.65 ± 0.25. Common errors among the leading teams included false negatives for small lesions and misregistration of masks in space. The Dice scores and lesion detection rates of all algorithms diminished with decreasing tumor size, particularly for tumors smaller than 100 mm3. In conclusion, algorithms for BM segmentation require further refinement to balance high sensitivity in lesion detection with the minimization of false positives and negatives. The BraTS-METS 2023 challenge successfully curated well- annotated, diverse datasets and identified common errors, facilitating the translation of BM segmentation across varied environments and providing the tools for future development of personalized volumetric reports to patients undergoing BM treatment.