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Clinical and Translational Radiation... Jul 2024Aim of the present study is to characterize a deep learning-based auto-segmentation software (DL) for prostate cone beam computed tomography (CBCT) images and to...
PURPOSE
Aim of the present study is to characterize a deep learning-based auto-segmentation software (DL) for prostate cone beam computed tomography (CBCT) images and to evaluate its applicability in clinical adaptive radiation therapy routine.
MATERIALS AND METHODS
Ten patients, who received exclusive radiation therapy with definitive intent on the prostate gland and seminal vesicles, were selected. Femoral heads, bladder, rectum, prostate, and seminal vesicles were retrospectively contoured by four different expert radiation oncologists on patients CBCT, acquired during treatment. Consensus contours (CC) were generated starting from these data and compared with those created by DL with different algorithms, trained on CBCT (DL-CBCT) or computed tomography (DL-CT). Dice similarity coefficient (DSC), centre of mass (COM) shift and volume relative variation (VRV) were chosen as comparison metrics. Since no tolerance limit can be defined, results were also compared with the inter-operator variability (IOV), using the same metrics.
RESULTS
The best agreement between DL and CC was observed for femoral heads (DSC of 0.96 for both DL-CBCT and DL-CT). Performance worsened for low-contrast soft tissue organs: the worst results were found for seminal vesicles (DSC of 0.70 and 0.59 for DL-CBCT and DL-CT, respectively). The analysis shows that it is appropriate to use algorithms trained on the specific imaging modality. Furthermore, the statistical analysis showed that, for almost all considered structures, there is no significant difference between DL-CBCT and human operator in terms of IOV.
CONCLUSIONS
The accuracy of DL-CBCT is in accordance with CC; its use in clinical practice is justified by the comparison with the inter-operator variability.
PubMed: 38884004
DOI: 10.1016/j.ctro.2024.100796 -
Journal of Thoracic Disease May 2024Sarcomas of the chest wall are rare and their current treatment regimen is diverse and complex due to the heterogeneity of these tumors as well as the variations in... (Review)
Review
Sarcomas of the chest wall are rare and their current treatment regimen is diverse and complex due to the heterogeneity of these tumors as well as the variations in tumor location and extent. They only account for 0.04% of newly diagnosed cancers of whom about 45% comprise soft tissue sarcomas. Larger cohort studies are scarce and often focus on one specific treatment item. We therefore aim to provide helicopter view for clinicians treating patients with sarcomas of the chest wall, focusing mainly on soft tissue sarcomas. This overview includes the value of neoadjuvant systemic or radiotherapy, surgical resection, approaches for thoracic wall reconstruction, and the need for follow-up. Provided the heterogeneity and relative rarity, we recommend that treatment decisions in soft tissue sarcoma of the chest wall are discussed in a multidisciplinary tumor board at a reference sarcoma center or within sarcoma networks to ensure personalized, rational decision making. A surgical oncologist specialized in sarcoma surgery is crucial, and for extensive resections involving the thoracic cavity we recommend involvement of a thoracic surgeon. In addition, a specialized medical- and radiation oncologist as well as a plastic surgeon is required to ensure the best multimodality treatment plan to optimize patient outcome.
PubMed: 38883634
DOI: 10.21037/jtd-23-1149 -
Journal of Pharmacy & Bioallied Sciences Apr 2024Tumor budding is a distinctive phenomenon which involves the presence of small clusters or individual cancer cells at the invasive front of tumors. Tumor budding has...
INTRODUCTION AND AIM
Tumor budding is a distinctive phenomenon which involves the presence of small clusters or individual cancer cells at the invasive front of tumors. Tumor budding has garnered attention due to its potential implications for prognosis, treatment strategies, and our understanding of cancer progression. Our aim is to study the distribution of tumor buds and its scoring in patients with infiltrating breast carcinoma and to associate with other histopathological parameters like the size of the tumor, its grade, lymphovascular invasion, and lymph node metastasis.
MATERIALS AND METHODS
This was a study analyzing the data of 70 resected specimens of primary breast carcinomas and providing a descriptive overview. Tumor budding was recognized, counted, and graded in hematoxylin and eosin slides. The cases were classified as low (0-4), intermediate (5-9), and high (≥10 buds) based on the count of tumor buds. Tumor budding has significant correlation with tumor grade and tumor size.
RESULTS
Of the 70 cases, 60 cases (85.71%) were diagnosed as invasive ductal carcinoma NOS. The majority [38 (54.28%)] of the cases showed an intermediate tumor budding score of 5-9/10 HPF.
CONCLUSION
Evaluation of tumor budding allows pathologists and oncologists to gather valuable information about the tumor's biological aggressiveness and potential for metastasis. It also helps in better risk stratification of patients, enabling a more personalized and tailored approach to treatment planning. In conclusion, assessing tumor budding in breast carcinoma holds significant clinical importance in the management and prognosis of this disease.
PubMed: 38882784
DOI: 10.4103/jpbs.jpbs_910_23 -
Journal of Registry Management 2024The Veterans Health Administration (VHA) is a leader in generating transformational research across the cancer care continuum. Given the extensive body of cancer-related...
OBJECTIVES
The Veterans Health Administration (VHA) is a leader in generating transformational research across the cancer care continuum. Given the extensive body of cancer-related literature utilizing VHA data, our objectives are to: (1) describe the VHA data sources available for conducting cancer-related research, and (2) discuss examples of published cancer research using each data source.
METHODS
We identified commonly used data sources within the VHA and reviewed previously published cancer-related research that utilized these data sources. In addition, we reviewed VHA clinical and health services research web pages and consulted with a multidisciplinary group of cancer researchers that included hematologist/oncologists, health services researchers, and epidemiologists.
RESULTS
Commonly used VHA cancer data sources include the Veterans Affairs (VA) Cancer Registry System, the VA Central Cancer Registry (VACCR), the Corporate Data Warehouse (CDW)-Oncology Raw Domain (subset of data within the CDW), and the VA Cancer Care Cube (Cube). While no reference standard exists for cancer case ascertainment, the VACCR provides a systematic approach to ensure the complete capture of clinical history, cancer diagnosis, and treatment. Like many population-based cancer registries, a significant time lag exists due to constrained resources, which may make it best suited for historical epidemiologic studies. The CDW-Oncology Raw Domain and the Cube contain national information on incident cancers which may be useful for case ascertainment and prospective recruitment; however, additional resources may be needed for data cleaning.
CONCLUSIONS
The VHA has a wealth of data sources available for cancer-related research. It is imperative that researchers recognize the advantages and disadvantages of each data source to ensure their research questions are addressed appropriately.
Topics: Humans; United States; United States Department of Veterans Affairs; Registries; Neoplasms; Veterans Health; Information Sources
PubMed: 38881982
DOI: No ID Found -
Translational Cancer Research May 2024Programmed cell death-1 (PD-1) inhibitors and anti-angiogenic drugs have become a hotspot in research of anti-tumor programs; however, they can also cause some rare...
BACKGROUND
Programmed cell death-1 (PD-1) inhibitors and anti-angiogenic drugs have become a hotspot in research of anti-tumor programs; however, they can also cause some rare drug-related adverse reactions. Immune checkpoint inhibitors (ICIs) cause adverse reactions in the body, collectively known as immune-related adverse events (irAEs). Ocular side effects can occur in both targeted and immunotherapy patients, including dry eye, blurred vision, uveitis, conjunctivitis, retinopathy, or thyroid eye disease. To our knowledge, this is the first case report describing corneal ulcers secondary to dry eye in a patient treated with the combination of PD-1 inhibitor sintilimab and multi-targeted receptor tyrosine kinase inhibitor (TKI) anlotinib.
CASE DESCRIPTION
A 65-year-old woman with non-small cell lung cancer (NSCLC) and bone metastases, without pre-existing ocular conditions, experienced mild dry eye symptoms 1 month following treatment with sintilimab (200 mg q3w) in combination with anlotinib (12 mg q3w). Unrelieved dry eye symptoms occurred after the third cycle of chemotherapy, and she was diagnosed with dry eye syndrome. Subsequently, she received corneal protective lens, sodium hyaluronate eye drops, and prednisone treatment. Her corneal epithelial damage did not improve significantly, and within the following 2 months, her vision decreased in both eyes and progressed to bilateral corneal ulcers. Oral administration of sintilimab and anlotinib was interrupted, and treatments such as corticosteroids, anti-inflammatory drugs, and corneal repair were administered; however, both eyes presented with corneal subepithelial defect and corneal scarring. Due to a shortage of donors, no corneal transplantation surgery could be performed.
CONCLUSIONS
The development of corneal epithelial disorders in patients receiving target therapy and immunotherapy may not be reversed by reducing its dose. Although the condition is controlled with the use of glucocorticoids, some eye side effects cannot be cured. The timely detection and intervention of adverse effects of anti-tumor drugs by oncologists and ophthalmologists is critical for rational prescription. Ophthalmologists should be aware of eye side effects in patients using immunotherapy to ensure appropriate treatment and minimize potential eye complications such as dry eye, conjunctivitis, etc.
PubMed: 38881937
DOI: 10.21037/tcr-23-1952 -
Journal of Multidisciplinary Healthcare 2024The incidence of cancer is increasing, and cancer survivors are also growing exponentially. Cancer is defined as a new chronic disease. Nevertheless, the management of...
BACKGROUND
The incidence of cancer is increasing, and cancer survivors are also growing exponentially. Cancer is defined as a new chronic disease. Nevertheless, the management of cancer in the form of chronic diseases in China is still in its infancy, without a standardized care model.
OBJECTIVE
This study aimed to explore the current status of management of cancer care from the patient's perspective.
METHODS
This cross-sectional study was a questionnaire survey of patients diagnosed with cancer, including information of the current situation of daily medical consultation, status of comorbidity, and expectations of seeking cancer care in future. Chi-square test and logistic regression analysis were used to explore the factors influencing patients' choice of cancer management mode.
RESULTS
A total of 200 cancer patients were included in the study. The majority (n = 150) of cancer patients chose an oncologist in a tertiary hospital for cancer care. Difficulty in registration (45%), time-consuming (34.5%), repeated examinations (34.5%) and different treatment opinions (12.0%) were the main difficulties they encountered currently during tertiary hospital visits. In community hospital, lack of trust in general practitioners (n = 33) and the necessary drugs or testing items in community hospitals (n = 47) were the main difficulties during their visits. Logistic regression analysis showed that male (OR = 2.737, 95% CI, 1.332-5.627, p = 0.006) and elderly patients (OR = 3.186, 95% CI, 1.172-8.661, p = 0.023) were more likely to choose general practitioners (GPs) in community hospitals. Twenty-nine (14.5%) patients hope to have an integrated multidisciplinary management in tertiary and community hospitals with the active participation of GPs for cancer care.
CONCLUSION
Improving drug availability, equipment and quality of cancer care services can help to increase cancer patients' recognition of community hospital. In addition, the multidisciplinary management integrated tertiary hospitals and communities with the participation of GPs is a worth exploring mode that improves the management of cancer care.
PubMed: 38881752
DOI: 10.2147/JMDH.S460881 -
JMIR AI Jan 2024ChatGPT (Open AI) is a state-of-the-art large language model that uses artificial intelligence (AI) to address questions across diverse topics. The American Society of...
BACKGROUND
ChatGPT (Open AI) is a state-of-the-art large language model that uses artificial intelligence (AI) to address questions across diverse topics. The American Society of Clinical Oncology Self-Evaluation Program (ASCO-SEP) created a comprehensive educational program to help physicians keep up to date with the many rapid advances in the field. The question bank consists of multiple choice questions addressing the many facets of cancer care, including diagnosis, treatment, and supportive care. As ChatGPT applications rapidly expand, it becomes vital to ascertain if the knowledge of ChatGPT-3.5 matches the established standards that oncologists are recommended to follow.
OBJECTIVE
This study aims to evaluate whether ChatGPT-3.5's knowledge aligns with the established benchmarks that oncologists are expected to adhere to. This will furnish us with a deeper understanding of the potential applications of this tool as a support for clinical decision-making.
METHODS
We conducted a systematic assessment of the performance of ChatGPT-3.5 on the ASCO-SEP, the leading educational and assessment tool for medical oncologists in training and practice. Over 1000 multiple choice questions covering the spectrum of cancer care were extracted. Questions were categorized by cancer type or discipline, with subcategorization as treatment, diagnosis, or other. Answers were scored as correct if ChatGPT-3.5 selected the answer as defined by ASCO-SEP.
RESULTS
Overall, ChatGPT-3.5 achieved a score of 56.1% (583/1040) for the correct answers provided. The program demonstrated varying levels of accuracy across cancer types or disciplines. The highest accuracy was observed in questions related to developmental therapeutics (8/10; 80% correct), while the lowest accuracy was observed in questions related to gastrointestinal cancer (102/209; 48.8% correct). There was no significant difference in the program's performance across the predefined subcategories of diagnosis, treatment, and other (P=.16, which is greater than .05).
CONCLUSIONS
This study evaluated ChatGPT-3.5's oncology knowledge using the ASCO-SEP, aiming to address uncertainties regarding AI tools like ChatGPT in clinical decision-making. Our findings suggest that while ChatGPT-3.5 offers a hopeful outlook for AI in oncology, its present performance in ASCO-SEP tests necessitates further refinement to reach the requisite competency levels. Future assessments could explore ChatGPT's clinical decision support capabilities with real-world clinical scenarios, its ease of integration into medical workflows, and its potential to foster interdisciplinary collaboration and patient engagement in health care settings.
PubMed: 38875575
DOI: 10.2196/50442 -
JMIR AI May 2023The identification of objective pain biomarkers can contribute to an improved understanding of pain, as well as its prognosis and better management. Hence, it has the...
A Scalable Radiomics- and Natural Language Processing-Based Machine Learning Pipeline to Distinguish Between Painful and Painless Thoracic Spinal Bone Metastases: Retrospective Algorithm Development and Validation Study.
BACKGROUND
The identification of objective pain biomarkers can contribute to an improved understanding of pain, as well as its prognosis and better management. Hence, it has the potential to improve the quality of life of patients with cancer. Artificial intelligence can aid in the extraction of objective pain biomarkers for patients with cancer with bone metastases (BMs).
OBJECTIVE
This study aimed to develop and evaluate a scalable natural language processing (NLP)- and radiomics-based machine learning pipeline to differentiate between painless and painful BM lesions in simulation computed tomography (CT) images using imaging features (biomarkers) extracted from lesion center point-based regions of interest (ROIs).
METHODS
Patients treated at our comprehensive cancer center who received palliative radiotherapy for thoracic spine BM between January 2016 and September 2019 were included in this retrospective study. Physician-reported pain scores were extracted automatically from radiation oncology consultation notes using an NLP pipeline. BM center points were manually pinpointed on CT images by radiation oncologists. Nested ROIs with various diameters were automatically delineated around these expert-identified BM center points, and radiomics features were extracted from each ROI. Synthetic Minority Oversampling Technique resampling, the Least Absolute Shrinkage And Selection Operator feature selection method, and various machine learning classifiers were evaluated using precision, recall, F-score, and area under the receiver operating characteristic curve.
RESULTS
Radiation therapy consultation notes and simulation CT images of 176 patients (mean age 66, SD 14 years; 95 males) with thoracic spine BM were included in this study. After BM center point identification, 107 radiomics features were extracted from each spherical ROI using pyradiomics. Data were divided into 70% and 30% training and hold-out test sets, respectively. In the test set, the accuracy, sensitivity, specificity, and area under the receiver operating characteristic curve of our best performing model (neural network classifier on an ensemble ROI) were 0.82 (132/163), 0.59 (16/27), 0.85 (116/136), and 0.83, respectively.
CONCLUSIONS
Our NLP- and radiomics-based machine learning pipeline was successful in differentiating between painful and painless BM lesions. It is intrinsically scalable by using NLP to extract pain scores from clinical notes and by requiring only center points to identify BM lesions in CT images.
PubMed: 38875572
DOI: 10.2196/44779 -
The Oncologist Jun 2024This is a phase II subprotocol of the NCI-COG Pediatric MATCH study evaluating vemurafenib, a selective oral inhibitor of BRAF V600 mutated kinase, in patients with...
BACKGROUND
This is a phase II subprotocol of the NCI-COG Pediatric MATCH study evaluating vemurafenib, a selective oral inhibitor of BRAF V600 mutated kinase, in patients with relapsed or refractory solid tumors harboring BRAF V600 mutations.
METHODS
Patients received vemurafenib at 550 mg/m2 (maximum 960 mg/dose) orally twice daily for 28-day cycles until progression or intolerable toxicity. The primary aim was to determine the objective response rate and secondary objectives included estimating progression-free survival and assessing the tolerability of vemurafenib.
RESULTS
Twenty-two patients matched to the subprotocol and 4 patients (18%) enrolled. Primary reasons for non-enrollment were ineligibility due to exclusions of low-grade glioma (nâ=â7) and prior BRAF inhibitor therapy (nâ=â7). Enrolled diagnoses were one each of histiocytosis, ameloblastoma, Ewing sarcoma, and high-grade glioma, all with BRAF V600E mutations. Treatment was overall tolerable with mostly expected grade 1/2 adverse events (AE). Grade 3 or 4 AE on treatment were acute kidney injury, hyperglycemia, and maculopapular rash. One patient came off therapy due to AE. One patient (glioma) had an objective partial response and remained on protocol therapy for 15 cycles.
CONCLUSION
There was a low accrual rate on this MATCH subprotocol, with only 18% of those who matched with BRAFV600 mutations enrolling, resulting in early termination, and limiting study results (ClinicalTrials.gov Identifier: NCT03220035).
PubMed: 38873934
DOI: 10.1093/oncolo/oyae119 -
Communications Medicine Jun 2024Chimeric antigen receptor (CAR) T-cell therapy and bispecific T-cell engagers, which redirect T-cells to tumor antigens, have immensely benefitted patients with...
BACKGROUND
Chimeric antigen receptor (CAR) T-cell therapy and bispecific T-cell engagers, which redirect T-cells to tumor antigens, have immensely benefitted patients with relapsed/refractory B-cell cancers. How these therapies differ in cardiotoxicity is underexplored. We used the World Health Organization pharmacovigilance database, VigiBase, to compare cardiotoxicity profiles between CD19-targeted CAR-T therapy and blinatumomab (a CD19/CD3-targeted bispecific T-cell engager).
METHODS
Safety reports in VigiBase were filtered for diffuse large B-cell lymphoma (DLBCL, n = 17,479) and acute lymphocytic leukemia (ALL, n = 28,803) for all adverse reactions. Data were further filtered for patients taking CAR-T therapy or blinatumomab. Reporting odds ratios (ROR) and fatality rates were compared between CAR-T cell products (e.g. tisagenlecleucel and axicabtagene ciloleucel), and between CAR-T therapy and blinatumomab.
RESULTS
Tisagenlecleucel is associated with cardiac failure (IC = 0.366) with fatality rates of 85.7% and 80.0% in DLBCL and pediatric ALL patients respectively. For DLBCL patients, axicabtagene ciloleucel has greater reporting for hypotension than tisagenlecleucel (ROR: 2.54; 95% CI: 1.28-5.03; p = 0.012), but tisagenlecleucel has higher fatality rates for hypotension than axicabtagene ciloleucel [50.0% (tisagenlecleucel) vs 5.6% (axicabtagene ciloleucel); p < 0.001]. Blinatumomab and tisagenlecleucel have similar fatality rates for hypotension in pediatric ALL patients [34.7% (tisagenlecleucel) vs 20.0% (blinatumomab); p = 0.66].
CONCLUSIONS
Tisagenlecleucel is associated with severe and fatal adverse cardiac events, with higher fatality rates for hypotension compared to axicabtagene ciloleucel in DLBCL patients, but similar hypotension fatality rates compared to blinatumomab in pediatric ALL patients. Effective management necessitates experienced physicians, including cardio-oncologists, skilled in interdisciplinary approaches to manage these toxicities.
PubMed: 38871977
DOI: 10.1038/s43856-024-00540-9