Clinical trials for chimeric antigen receptor (CAR) T-cell therapy are in the early stages but are expected to progress alongside new treatment approaches. This suggests that imaging will play an important role in monitoring disease progression, treatment response, and treatment-related side effects. There are, however, challenges that remain unresolved, regarding imaging in CAR T-cell therapy. We herein discuss the role of imaging, focusing on how tumor response evaluation varies according to cancer type and target antigens in CAR T-cell therapy. CAR T-cell therapy often produces rapid and significant responses, and imaging is vital for identifying side effects such as cytokine release syndrome and neurotoxicity. Radiologists should be aware of drug mechanisms, response assessments, and associated toxicities to effectively support these therapies. Additionally, this article highlights the importance of the Lugano criteria, which is essential for standardized assessment of treatment response, particularly in lymphoma therapies, and also explores other factors influencing imaging-based evaluation, including emerging methodologies and their potential to improve the accuracy and consistency of response assessments.

Clinical trials for chimeric antigen receptor (CAR) T-cell therapy are in the early stages but are expected to progress alongside new treatment approaches. This suggests that imaging will play an important role in monitoring disease progression, treatment response, and treatment-related side effects. There are, however, challenges that remain unresolved, regarding imaging in CAR T-cell therapy. We herein discuss the role of imaging, focusing on how tumor response evaluation varies according to cancer type and target antigens in CAR T-cell therapy. CAR T-cell therapy often produces rapid and significant responses, and imaging is vital for identifying side effects such as cytokine release syndrome and neurotoxicity. Radiologists should be aware of drug mechanisms, response assessments, and associated toxicities to effectively support these therapies. Additionally, this article highlights the importance of the Lugano criteria, which is essential for standardized assessment of treatment response, particularly in lymphoma therapies, and also explores other factors influencing imaging-based evaluation, including emerging methodologies and their potential to improve the accuracy and consistency of response assessments.

Clinical trials for chimeric antigen receptor (CAR) T-cell therapy are in the early stages but are expected to progress alongside new treatment approaches. This suggests that imaging will play an important role in monitoring disease progression, treatment response, and treatment-related side effects. There are, however, challenges that remain unresolved, regarding imaging in CAR T-cell therapy. We herein discuss the role of imaging, focusing on how tumor response evaluation varies according to cancer type and target antigens in CAR T-cell therapy. CAR T-cell therapy often produces rapid and significant responses, and imaging is vital for identifying side effects such as cytokine release syndrome and neurotoxicity. Radiologists should be aware of drug mechanisms, response assessments, and associated toxicities to effectively support these therapies. Additionally, this article highlights the importance of the Lugano criteria, which is essential for standardized assessment of treatment response, particularly in lymphoma therapies, and also explores other factors influencing imaging-based evaluation, including emerging methodologies and their potential to improve the accuracy and consistency of response assessments.

Clinical trials for chimeric antigen receptor (CAR) T-cell therapy are in the early stages but are expected to progress alongside new treatment approaches. This suggests that imaging will play an important role in monitoring disease progression, treatment response, and treatment-related side effects. There are, however, challenges that remain unresolved, regarding imaging in CAR T-cell therapy. We herein discuss the role of imaging, focusing on how tumor response evaluation varies according to cancer type and target antigens in CAR T-cell therapy. CAR T-cell therapy often produces rapid and significant responses, and imaging is vital for identifying side effects such as cytokine release syndrome and neurotoxicity. Radiologists should be aware of drug mechanisms, response assessments, and associated toxicities to effectively support these therapies. Additionally, this article highlights the importance of the Lugano criteria, which is essential for standardized assessment of treatment response, particularly in lymphoma therapies, and also explores other factors influencing imaging-based evaluation, including emerging methodologies and their potential to improve the accuracy and consistency of response assessments.

Clinical trials for chimeric antigen receptor (CAR) T-cell therapy are in the early stages but are expected to progress alongside new treatment approaches. This suggests that imaging will play an important role in monitoring disease progression, treatment response, and treatment-related side effects. There are, however, challenges that remain unresolved, regarding imaging in CAR T-cell therapy. We herein discuss the role of imaging, focusing on how tumor response evaluation varies according to cancer type and target antigens in CAR T-cell therapy. CAR T-cell therapy often produces rapid and significant responses, and imaging is vital for identifying side effects such as cytokine release syndrome and neurotoxicity. Radiologists should be aware of drug mechanisms, response assessments, and associated toxicities to effectively support these therapies. Additionally, this article highlights the importance of the Lugano criteria, which is essential for standardized assessment of treatment response, particularly in lymphoma therapies, and also explores other factors influencing imaging-based evaluation, including emerging methodologies and their potential to improve the accuracy and consistency of response assessments.

Purpose: The fifth World Health Organization (WHO) classification (2022 WHO) and International Consensus Classification (ICC) of myeloid neoplasms have recently been published. In this study, patients were reclassified according to the revised classification and their prognoses were analyzed to confirm the clinical utility of the new classifications. Methods: We included 101 adult patients, 77 with acute myeloid leukemia (AML) and 24 with myelodysplastic neoplasms (MDS), who underwent bone marrow aspiration and next-generation sequencing (NGS) between August 2019 and July 2023. We reclassified the patients according to the revised criteria, examined the differences, and analyzed the prognosis using survival analysis. Results: According to the 2022 WHO and ICC, 23 (29.9%) patients and 32 (41.6%) patients were reclassified into different groups, respectively, due to the addition of myelodysplasia-related (MR) gene mutations to the diagnostic criteria or the addition of new entities associated with TP53 mutations. The median overall survival (OS) of patients with AML and MR gene mutations was shorter than that of patients in other AML groups; however, the difference was not significant. Patients with AML and TP53 mutation had a significantly shorter OS than the other AML group (p = 0.0014, median OS 2.3 vs 10.3 months). They also had significantly shorter OS than the AML and MR mutation group (p = 0.002, median OS 2.3 vs 9.6 months). Conclusion The revised classifications allow for a more detailed categorization based on genetic abnormalities, which may be helpful in predicting prognosis. AML with TP53 mutations is a new ICC category that has shown a high prognostic significance in a small number of cases.

Objective: To identify the adherence rate to poly (ADP-ribose) polymerase (PARP) inhibitors and identify factors contributing to the deterioration of adherence at our institution. Methods: The adherence rate to PARP inhibitors was calculated using self-reported Adherence to Refills and Medications Scale questionnaires from a cross-sectional survey. Multivariable logistic regression analysis was performed to identify the factors that affected adherence. Results: Of the 131 respondents, 32 (24.4%) showed non-adherence to PARP inhibitors.In the multivariable logistic regression analysis, unemployed or retired status (odds ratio [OR]=4.878; 95% confidence interval [CI]=1.528–15.572; p=0.008), patients receiving niraparib (OR=3.387; 95% CI=1.283–8.940; p=0.014), and a lower score on the quality-oflife assessment (EORTC-QLQ-OV28), which reflects a better quality of life (QOC) with a lower symptom burden (OR=1.056; 95% CI=1.027–1.086; p<0.001) were associated with high adherence to PARP inhibitors. Conclusion Approximately one-fourth of patients with ovarian cancer are non-adherent to PARP inhibitors as maintenance treatment for newly diagnosed advanced ovarian cancer. The occupational status, type of PARP inhibitor, and QOC may affect adherence to PARP inhibitors.

Purpose: The fifth World Health Organization (WHO) classification (2022 WHO) and International Consensus Classification (ICC) of myeloid neoplasms have recently been published. In this study, patients were reclassified according to the revised classification and their prognoses were analyzed to confirm the clinical utility of the new classifications. Methods: We included 101 adult patients, 77 with acute myeloid leukemia (AML) and 24 with myelodysplastic neoplasms (MDS), who underwent bone marrow aspiration and next-generation sequencing (NGS) between August 2019 and July 2023. We reclassified the patients according to the revised criteria, examined the differences, and analyzed the prognosis using survival analysis. Results: According to the 2022 WHO and ICC, 23 (29.9%) patients and 32 (41.6%) patients were reclassified into different groups, respectively, due to the addition of myelodysplasia-related (MR) gene mutations to the diagnostic criteria or the addition of new entities associated with TP53 mutations. The median overall survival (OS) of patients with AML and MR gene mutations was shorter than that of patients in other AML groups; however, the difference was not significant. Patients with AML and TP53 mutation had a significantly shorter OS than the other AML group (p = 0.0014, median OS 2.3 vs 10.3 months). They also had significantly shorter OS than the AML and MR mutation group (p = 0.002, median OS 2.3 vs 9.6 months). Conclusion The revised classifications allow for a more detailed categorization based on genetic abnormalities, which may be helpful in predicting prognosis. AML with TP53 mutations is a new ICC category that has shown a high prognostic significance in a small number of cases.

Objective: To identify the adherence rate to poly (ADP-ribose) polymerase (PARP) inhibitors and identify factors contributing to the deterioration of adherence at our institution. Methods: The adherence rate to PARP inhibitors was calculated using self-reported Adherence to Refills and Medications Scale questionnaires from a cross-sectional survey. Multivariable logistic regression analysis was performed to identify the factors that affected adherence. Results: Of the 131 respondents, 32 (24.4%) showed non-adherence to PARP inhibitors.In the multivariable logistic regression analysis, unemployed or retired status (odds ratio [OR]=4.878; 95% confidence interval [CI]=1.528–15.572; p=0.008), patients receiving niraparib (OR=3.387; 95% CI=1.283–8.940; p=0.014), and a lower score on the quality-oflife assessment (EORTC-QLQ-OV28), which reflects a better quality of life (QOC) with a lower symptom burden (OR=1.056; 95% CI=1.027–1.086; p<0.001) were associated with high adherence to PARP inhibitors. Conclusion Approximately one-fourth of patients with ovarian cancer are non-adherent to PARP inhibitors as maintenance treatment for newly diagnosed advanced ovarian cancer. The occupational status, type of PARP inhibitor, and QOC may affect adherence to PARP inhibitors.

Purpose: The fifth World Health Organization (WHO) classification (2022 WHO) and International Consensus Classification (ICC) of myeloid neoplasms have recently been published. In this study, patients were reclassified according to the revised classification and their prognoses were analyzed to confirm the clinical utility of the new classifications. Methods: We included 101 adult patients, 77 with acute myeloid leukemia (AML) and 24 with myelodysplastic neoplasms (MDS), who underwent bone marrow aspiration and next-generation sequencing (NGS) between August 2019 and July 2023. We reclassified the patients according to the revised criteria, examined the differences, and analyzed the prognosis using survival analysis. Results: According to the 2022 WHO and ICC, 23 (29.9%) patients and 32 (41.6%) patients were reclassified into different groups, respectively, due to the addition of myelodysplasia-related (MR) gene mutations to the diagnostic criteria or the addition of new entities associated with TP53 mutations. The median overall survival (OS) of patients with AML and MR gene mutations was shorter than that of patients in other AML groups; however, the difference was not significant. Patients with AML and TP53 mutation had a significantly shorter OS than the other AML group (p = 0.0014, median OS 2.3 vs 10.3 months). They also had significantly shorter OS than the AML and MR mutation group (p = 0.002, median OS 2.3 vs 9.6 months). Conclusion The revised classifications allow for a more detailed categorization based on genetic abnormalities, which may be helpful in predicting prognosis. AML with TP53 mutations is a new ICC category that has shown a high prognostic significance in a small number of cases.