Is radiomics a useful addition to magnetic resonance imaging in the preoperative classification of PitNETs?

BACKGROUND: The WHO 2021 introduced the term pituitary neuroendocrine tumours (PitNETs) for pituitary adenomas and incorporated transcription factors for subtyping, prompting the need for fresh diagnostic methods. Current biomarkers struggle to distinguish between high- and low-risk non-functioning PitNETs. We explored if radiomics can enhance preoperative decision-making. METHODS: Pre-treatment magnetic resonance (MR) images of patients who underwent surgery between 2015 and 2019 with available WHO 2021 classification were used. The tumours were manually segmented on the T1w, T1-contrast enhanced, and T2w images using 3D Slicer. One hundred Pyradiomic features were extracted from each MR sequence. Models were built to classify (1) somatotroph and gonadotroph PitNETs and (2) high- and low-risk subtypes of non-functioning PitNETs. Feature were selected independently from the MR sequences and multi-sequence (combining data from more than one MR sequence) using Boruta and Pearson correlation. Support vector machine (SVM), logistic regression (LR), random forest (RF), and multi-layer perceptron (MLP) were the classifiers used. Data imbalance was addressed using the Synthetic Minority Oversampling TEchnique (SMOTE). Performance of the models were evaluated using area under the receiver operating curve (AUC), accuracy, sensitivity, and specificity. RESULTS: A total of 222 PitNET patients (train, n = 149; test, n = 73) were enrolled in this retrospective study. Multi-sequence-based LR model discriminated best between somatotroph and gonadotroph PitNETs, with a test AUC of 0.84, accuracy of 0.74, specificity of 0.81, and sensitivity of 0.70. Multi-sequence-based MLP model perfomed best for the high- and low-risk non-functioning PitNETs, achieving a test AUC of 0.76, accuracy of 0.67, specificity of 0.72, and sensitivity of 0.66. CONCLUSIONS: Utilizing pre-treatment MRI and radiomics holds promise for distinguishing high-risk from low-risk non-functioning PitNETs based on the latest WHO classification. This could assist neurosurgeons in making critical decisions regarding surgery or alternative management strategies for PitNETs after further clinical validation.

Utility of Mid-treatment DWI in Selecting Pathological Responders to Neoadjuvant Chemoradiotherapy in Locally Advanced Esophageal Cancer.

PURPOSE: Pathological complete response correlates with better clinical outcomes in locally advanced esophageal cancer (LA-EC). However, there is lack of prognostic markers to identify patients in the current setting of neoadjuvant chemoradiotherapy (NACRT) followed by surgery. This study evaluates the utility of mid-treatment diffusion-weighted imaging (DWI) in identifying pathological responders of NACRT. METHODS: Twenty-four patients with LA-EC on NACRT were prospectively recruited and underwent three MRI (baseline, mid-treatment, end-of-RT) scans. DWI-derived apparent diffusion coefficient (ADC) mean and minimum were used as a surrogate to evaluate the treatment response, and its correlation to pathological response was assessed. RESULTS: Mid-treatment ADC mean was significantly higher among patients with pathological response compared to non-responders (p = 0.011). ADC difference (ΔADC) between baseline and mid-treatment correlated with tumor response (p = 0.007). ADC at other time points did not correlate to pathological response. CONCLUSION: In this study, mid-treatment ADC values show potential to be a surrogate for tumor response in NACRT. However, larger trials are required to establish DW-MRI as a definite biomarker for tumor response.

On a pathway to resigned acceptance: Patients' experiences of living with symptom clusters in oral cancer.

PURPOSE: Patients treated for oral cancer experience multiple concurrent symptoms. A larger mixed-methods study was conducted among patients who were treated with surgery alone or in combination with other modalities. The aim of the qualitative strand was to explore the experiences of living with symptom clusters. METHODS: A phenomenological design was used to explore the lived experiences. Participants were recruited for the larger study from two outpatient units of a tertiary teaching hospital (N = 300). After completion of a survey, a maximum variation purposive subsample of 20 participants was drawn from the larger sample and were interviewed in-depth about their experiences. Thematic analysis was conducted. FINDINGS: All participants experienced multiple concurrent symptoms, commonly including chewing difficulties + dry mouth + speech difficulties; chewing difficulties + dry mouth + diminished taste; and chewing difficulties + dry mouth + speech difficulties + trismus. Analysis of their experiences of living with these symptom clusters revealed six themes: Acknowledged Disruptions, Inner Dialogue, Shifting Expectations, Floods of Emotions, Exercising Control over Life, and Resigned Acceptance. These themes portrayed that time and living with symptom clusters lead to what we describe as a pathway to resigned acceptance. This pathway is intermingled with disruptions, self-reflections on 'why me' and karma, negative emotions, and failed expectations regarding symptom recovery. Attempts to exercise control over their lives were also revealed through coping strategies, watchful living, future planning, and being health advocates. On realizing with time that further symptom alleviation is unlikely, and considering symptom-cluster experiences as being written in their fate, they move towards a state of resigned acceptance. However, unlike passive acceptance, their belief in fate was accompanied with resilience, evidenced by their ongoing efforts to explore pragmatic ways to live with symptom clusters. CONCLUSIONS: Findings provide key insights into patient perspectives which most often remain unexpressed in clinical settings. Further research is required to explore watchful living, fate as a coping strategy, and intertwining of faith, fate, and karma.

Symptom Cluster Experiences of Patients Operated for Oral Cancer: A Mixed Methods Study.

OBJECTIVE: This convergent mixed methods study aimed to obtain a comprehensive understanding of symptom cluster experiences in patients with oral cancer. Survey and phenomenological interviews were conducted in parallel to identify distinct patient subgroups based on symptom cluster experiences along with their predictors and explore experiences of living with symptom clusters, respectively. DATA SOURCES: A convenience sample of 300 patients with oral cancer who had completed surgery provided the quantitative data, and a maximum variation purposive subsample of 20 participants, drawn from the survey sample, provided the qualitative data. Agglomerative hierarchical cluster analysis was used to identify subgroups, multivariate analyses were done to identify predictors, and thematic analysis was used for patient narratives. CONCLUSION: Almost 94% of the survey participants had two or more co-occurring symptoms. The four most severe and prevalent symptoms were dysphagia, problems with teeth or gums, speech difficulty, and dry mouth. A distinct subgroup consisting of 61% of patients reported severe dysphagia and teeth problems, which was associated with age, oral cancer stage and site. Interviews revealed the causes and the context influencing the perception and response to these symptoms. Thus, the quantitative data provided information on severity and patient subgroups based on symptom cluster experiences, while the qualitative data validated these conclusions and additionally provided in-depth details and meaningful insight on perceived causes and contextual influences of their experiences. This comprehensive picture of symptom cluster experiences can aid in the development of patient-centered interventions for people with oral cancer. IMPLICATIONS FOR NURSING PRACTICE: An interdisciplinary approach to targeting concurrent symptoms incorporating psychological and physical interventions is necessary. Older patients treated for Stage IV cancers and for buccal mucosa tumors are at high-risk of having severe dysphagia postoperatively, and these patients should be targeted for dysphagia interventions. The contextual factors play an important role in developing patient-centered interventions.

Extracranial doses in stereotactic and conventional radiotherapy for pituitary adenomas.

The purpose of this study is to determine the extracranial dose in patients treated for pituitary adenoma with conventional and stereotactic radiotherapy (SRT). Twelve patients receiving treatment with radiation for pituitary adenoma were selected. Six patients underwent SRT, and six patients underwent conventional radiotherapy. Extracranial doses were measured with pre-irradiation annealed lithium fluoride thermoluminscent dosimetry (TLD) chips. The chips were wrapped and placed on the patients' skin, over each eyelid, the thyroid, chest, and scrotum for males and over the suprapubic region for females. Postradiation annealing was done, and the TLDs were read in a TLD reader system. The results were analyzed using the Wilcoxon matched-pairs signed rank test by SPSS, version 6.01. The doses to the thyroid, center, and gonads were significantly higher (74.62 +/- 9.12 mrad, 65.42 +/- 9.35 mrad, and 58.42 +/- 5.36 mrad, respectively) in patients receiving SRT than in conventional radiotherapy portals (69.45 +/- 21.19 mrad, 38.33 +/- 19.44 mrad, and 31.41 +/- 18.25 mrad). But the average doses to the right eye (84.84 +/- 8.80 mrad) and to the left eye (85.68 +/- 5.82 mrad) in the stereotactic group were less when compared with the patients treated with conventional radiotherapy, who received 127.5 +/- 37.90 mrad and 117.29 +/- 34.01 mrad, respectively. In conclusion, SRT is definitely superior to conventional radiotherapy as far as dose to the surrounding normal structures is concerned. The higher extracranial doses in SRT seem to be within the acceptable range; however, the clinical significance of this is still unclear and needs longer followup.