Although the need for a specific QOL index for MF/SS has been recognized, little work has been done in this area. QOL instruments should address general health concepts, as well as specific issues that are relevant to patients who have MF/SS; a combination of two instruments may be appropriate. Confirming the validity, reliability, and responsiveness to change of a combination of QOL instruments, such as SKINDEX-29 and FACT-G, in patients who have MF/SS will be relevant. For patients who have MF/SS, focusing our efforts on improving the disease and their QOL should translate into improvements that are meaningful to them. Thus, our goal should be to incorporate the findings of QOL research into practice and use the results to guide our practices, as they relate to therapy. Some important considerations are: We must be explicit about what will be done with the information that is obtained about an individual's QOL. We should consider what additional knowledge QOL measures provide that we could not otherwise have. We should be ready for unexpected results, as exemplified by instances where aggressive therapy could result in improved QOL. Although challenges exist in moving forward QOL research in CTCL, the words of wisdom of Tannock bring the concept of QOL into perspective: "When cure remains elusive, it is time to start treating the patient, not just the tumor." A final consideration is that we should not forget the dimension of spirituality, which is especially relevant to patients who have advanced MF/SS. Spirituality is characterized by the capacity to seek purpose and meaning, to have faith, to love, to forgive, and to see beyond current circumstances. Spirituality enables a person to rise above suffering. Unfortunately, research on spirituality is scarce, in part, because of the difficulty in assessing spiritual suffering. Nevertheless, physicians who are caring for patients who have advanced MF/SS should acknowledge the spiritual dimension as an integral component of the dying process.
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http://dx.doi.org/10.1016/s0889-8588(03)00111-4 | DOI Listing |
Eur J Radiol
January 2025
Department of Radiology, West China Hospital Sichuan University Chengdu Sichuan China. Electronic address:
Purpose: To develop and validate an MRI-based model for predicting postoperative early (≤2 years) recurrence-free survival (RFS) in patients receiving upfront surgical resection (SR) for beyond Milan hepatocellular carcinoma (HCC) and to assess the model's performance in separate patients receiving neoadjuvant therapy for similar-stage tumors.
Method: This single-center retrospective study included consecutive patients with resectable BCLC A/B beyond Milan HCC undergoing upfront SR or neoadjuvant therapy. All images were independently evaluated by three blinded radiologists.
JMIR Cancer
January 2025
Wolfson Institute of Population Health, Queen Mary University of London, London, United Kingdom.
Background: Skin cancers, including melanoma and keratinocyte cancers, are among the most common cancers worldwide, and their incidence is rising in most populations. Earlier detection of skin cancer leads to better outcomes for patients. Artificial intelligence (AI) technologies have been applied to skin cancer diagnosis, but many technologies lack clinical evidence and/or the appropriate regulatory approvals.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Trinity College Dublin, Dublin, Ireland.
Background: Scientific implementation findings relevant to the implementation of internet-delivered cognitive behavioral therapy (iCBT) for depression and anxiety in adults remain sparse and scattered across different sources of published information. Identifying evidence-based factors that influence the implementation of iCBT is key to successfully using iCBT in real-world clinical settings.
Objective: This systematic review evaluated the following: (1) aspects that research articles postulate as important for the implementation of iCBT and (2) aspects relevant to the day-to-day running of iCBT services.
J Med Internet Res
January 2025
I3A, LoUISE Research Group, University of Castilla-La Mancha, Albacete, Spain.
Background: Laparoscopic surgery training is a demanding process requiring technical and nontechnical skills. Surgical training has evolved from traditional approaches to the use of immersive digital technologies such as virtual, augmented, and mixed reality. These technologies are now integral to laparoscopic surgery training.
View Article and Find Full Text PDFJMIR Med Inform
January 2025
Institute of History and Ethics in Medicine, School of Medicine and Health, Technical University of Munich, Munich, Germany.
Background: In data-sparse areas such as health care, computer scientists aim to leverage as much available information as possible to increase the accuracy of their machine learning models' outputs. As a standard, categorical data, such as patients' gender, socioeconomic status, or skin color, are used to train models in fusion with other data types, such as medical images and text-based medical information. However, the effects of including categorical data features for model training in such data-scarce areas are underexamined, particularly regarding models intended to serve individuals equitably in a diverse population.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!