Radiotherapy for Primary Pediatric Central Nervous System Malignancies: Current Treatment Paradigms and Future Directions.

BACKGROUND: Central nervous system tumors are the most common solid tumors in childhood. Treatment paradigms for pediatric central nervous system malignancies depend on elements including tumor histology, age of patient, and stage of disease. Radiotherapy is an important modality of treatment for many pediatric central nervous system malignancies. SUMMARY: While radiation contributes to excellent overall survival rates for many patients, radiation also carries significant risks of long-term side effects including neurocognitive decline, hearing loss, growth impairment, neuroendocrine dysfunction, strokes, and secondary malignancies. In recent decades, clinical trials have demonstrated that with better imaging and staging along with more sophisticated radiation planning and treatment set-up verification, smaller treatment volumes can be utilized without decrement in survival. Furthermore, the development of intensity-modulated radiotherapy and proton-beam radiotherapy has greatly improved conformality of radiation. KEY MESSAGES: Recent changes in radiation treatment paradigms have decreased risks of short- and long-term toxicity for common histologies and in different age groups. Future studies will continue to develop novel radiation regimens to improve outcomes in aggressive central nervous system tumors, integrate molecular subtypes to tailor radiation treatment, and decrease radiation-associated toxicity for long-term survivors.

Tobacco exposure as a major modifier of oncologic outcomes in human papillomavirus (HPV) associated oropharyngeal squamous cell carcinoma.

BACKGROUND: The incidence of oropharyngeal squamous cell carcinoma (OPSCC) in the US is rapidly increasing, driven largely by the epidemic of human papillomavirus (HPV)-mediated OPSCC. Although survival for patients with HPV mediated OPSCC (HPV+ OPSCC) is generally better than that of patients with non-virally mediated OPSCC, this effect is not uniform. We hypothesized that tobacco exposure remains a critical modifier of survival for HPV+ OPSCC patients. METHODS: We conducted a retrospective analysis of 611 OPSCC patients with concordant p16 and HPV testing treated at a single institute (2002-2013). Survival analysis was performed using Kaplan-Meier analysis and Cox regression. Recursive partitioning analysis (RPA) was used to define tobacco exposure associated with survival (p < 0.05). RESULTS: Tobacco exposure impacted overall survival (OS) for HPV+ patients on univariate and multivariate analysis (p = 0.002, p = 0.003 respectively). RPA identified 30 pack-years (PY) as a threshold at which survival became significantly worse in HPV+ patients. OS and disease-free survival (DFS) for HPV+ > 30 PY patients didn't differ significantly from HPV- patients (p = 0.72, p = 0.27, respectively). HPV+ > 30 PY patients had substantially lower 5-year OS when compared to their ≤30 PYs counterparts: 78.4% vs 91.6%; p = 0.03, 76% vs 88.3%; p = 0.07, and 52.3% vs 74%; p = 0.05, for stages I, II, and III (AJCC 8th Edition Manual), respectively. CONCLUSIONS: Tobacco exposure can eliminate the survival benefit associated with HPV+ status in OPSCC patients. Until this effect can be clearly quantified using prospective datasets, de-escalation of treatment for HPV + OPSCC smokers should be avoided.

Radiographic retropharyngeal lymph node involvement in HPV-associated oropharyngeal carcinoma: Patterns of involvement and impact on patient outcomes.

BACKGROUND: The objective of the current study was to characterize the incidence, pattern, and impact on oncologic outcomes of retropharyngeal lymph node (RPLN) involvement in HPV-associated oropharyngeal cancer (OPC). METHODS: Data regarding patients with HPV-associated OPC who were treated at The University of Texas MD Anderson Cancer Center with intensity-modulated radiotherapy from 2004 through 2013 were analyzed retrospectively. RPLN status was determined by reviewing pretreatment imaging and/or reports. Outcomes analysis was restricted to patients with lymph node-positive (+) disease. Kaplan-Meier survival estimates were generated and survival curves were compared using the log-rank test. Bayesian information criterion assessed model performance changes with the addition of RPLN status to current American Joint Committee on Cancer staging. Competing risk analysis compared modes of disease recurrence. RESULTS: The incidence of radiographic RPLN involvement was 9% (73 of 796 patients) and was found to vary by primary tumor site. The 5-year rates of freedom from distant metastases (FDM) and overall survival were lower in patients with RPLN(+) status compared with those with RPLN-negative (-) status (84% vs 93% [P = .0327] and 74% vs 87% [P = .0078], respectively). RPLN(+) status was not found to be associated with outcomes on multivariate analysis. Bayesian information criterion analysis demonstrated that current American Joint Committee on Cancer staging was not improved with the inclusion of RPLN. Locoregional and distant disease recurrence probabilities for those patients with RPLN(+) status were 8% and 13%, respectively, compared with 10% and 6%, respectively, for those with RPLN(-) status. RPLN(+) status portended worse 5-year FDM in the low-risk subgroup (smoking history of <10 pack-years) and among patients who received concurrent chemotherapy but not induction chemotherapy. CONCLUSIONS: RPLN(+) status was associated with worse overall survival and FDM on univariate but not multivariate analysis. In subgroup analyses, RPLN(+) status was associated with poorer FDM in both patients with a smoking history of <10 pack-years and those who received concurrent chemotherapy, suggesting that RPLN(+) status could be considered an exclusion criteria in treatment deintensification efforts seeking to omit chemotherapy.

Treatment at a high-volume centre is associated with improved survival among patients with non-metastatic hepatocellular carcinoma.

BACKGROUND & AIMS: The association between case volume and outcomes is well-documented for several cancer types. However, it is unknown if patients with hepatocellular carcinoma treated at high-volume centres have improved overall survival. METHODS: About 135 442 patients diagnosed with hepatocellular carcinoma between 2004-2014 were identified in the Commission on Cancer's National Cancer Database and 53 795 patients were excluded for metastatic or node-positive disease. Average annual case volume was calculated as the total number of cases treated per centre from 2004-2014 and dividing by 10. Receiver operating characteristic curves showed the most significant case number threshold between high-volume centres and remaining centres. Univariate and multivariate analyses were performed using Cox regression analysis to determine factors associated with improved survival. Kaplan-Meier curves and log-rank tests were used for overall survival estimates. RESULTS: A total of 81 647 patients with stage I-III hepatocellular carcinoma were treated at a total of 1218 centres. The median [range] case volume per year averaged over the 10-year study period was 48.6 [0.1-205.5]. High-volume centres treated >114 cases of hepatocellular carcinoma annually while remaining centre treated ≤114 cases. Median survival for patients treated in high-volume centres and remaining centres were 31.9 and 16.6 months respectively (Log Rank P < .001). On multivariate analysis, average annual case volume was significantly associated with improved survival. CONCLUSIONS: Receiving treatment at a high-volume centre is significantly associated with survival for patients with non-metastatic disease. Improved survival at high-volume centres may be related to access to a variety of treatment modalities, multidisciplinary evaluation, and/or subspecialty expertise.

Gemcitabine-based chemotherapy for advanced biliary tract carcinomas.

BACKGROUND: Biliary tract cancers are a group of rare heterogeneous malignant tumours. They include intrahepatic and extrahepatic cholangiocarcinomas, gallbladder carcinomas, and ampullary carcinomas. Surgery remains the optimal modality of therapy leading to long-term survival for people diagnosed with resectable biliary tract carcinomas. Unfortunately, most people with biliary tract carcinomas are diagnosed with either unresectable locally-advanced or metastatic disease, and they are only suitable for palliative chemotherapy or supportive care. OBJECTIVES: To assess the benefits and harms of intravenous administration of gemcitabine monotherapy or gemcitabine-based chemotherapy versus placebo, or no intervention, or other treatments (excluding gemcitabine) in adults with advanced biliary tract carcinomas. SEARCH METHODS: We performed electronic searches in the Cochrane Hepato-Biliary Group Controlled Trials Register, CENTRAL, MEDLINE, Embase, LILACS, Science Citation Index Expanded, and Conference Proceedings Citation Index - Science up to June 2017. We also checked reference lists of primary original studies and review articles manually, for further related articles (cross-references). SELECTION CRITERIA: Eligible studies include randomised clinical trials, irrespective of language or publication status, comparing intravenous administration of gemcitabine monotherapy or gemcitabine-based combination to placebo, to no intervention, or to treatments other than gemcitabine. DATA COLLECTION AND ANALYSIS: We used standard methodological procedures expected by Cochrane. We assessed risks of bias of the included trials using definitions of predefined bias risk domains, and presented the review results incorporating the methodological quality of the trials using GRADE. MAIN RESULTS: We included seven published randomised clinical trials with 600 participants. All included trials were at high risk of bias, and we rated the evidence as very low quality. Cointerventions were equally applied in three trials (gemcitabine plus S-1 (a combination of tegafur, gimeracil, and oteracil) versus S-1 monotherapy; gemcitabine plus S-1 versus gemcitabine monotherapy versus S-1 monotherapy; and gemcitabine plus vandetanib versus gemcitabine plus placebo versus vandetanib monotherapy), while four trials compared gemcitabine plus cisplatin versus S-1 plus cisplatin; gemcitabine plus mitomycin C versus capecitabine plus mitomycin C; gemcitabine plus oxaliplatin versus chemoradiotherapy; and gemcitabine plus oxaliplatin versus 5-fluorouracil plus folinic acid versus best supportive care. The seven trials were conducted in India, Japan, France, China, Austria, South Korea, and Italy. The median age of the participants in the seven trials was between 50 and 60 years, and the male/female ratios were comparable in most of the trials. Based on these seven trials, we established eight comparisons. We could not perform all planned analyses in all comparisons because of insufficient data.Gemcitabine versus vandetanibOne three-arm trial compared gemcitabine versus vandetanib versus both drugs in combination. It reported no data for mortality, health-related quality of life, or tumour progression outcomes. We rated the increased risk of serious adverse events, anaemia, and overall response rate as very low-certainty evidence.Gemcitabine plus cisplatin versus S-1 plus cisplatinFrom one trial of 96 participants, we found very low-certainty evidence that gemcitabine can lower the risk of mortality at one year when used with cisplatin versus S-1 plus cisplatin (risk ratio (RR) 0.76, 95% confidence interval (CI) 0.58 to 0.98; P = 0.04; participants = 96). The trial did not report data for serious adverse events, quality of life, or tumour response outcomes. There is very low-certainty evidence that gemcitabine plus cisplatin combination leads to a higher risk of high-grade thrombocytopenia compared with S-1 plus cisplatin combination (RR 5.28, 95% CI 1.23 to 22.55; P = 0.02; participants = 96).Gemcitabine plus S-1 versus S-1From two trials enrolling 151 participants, we found no difference between the two groups in terms of risk of mortality at one year or risk of serious adverse events. Gemcitabine plus S-1 combination was associated with a higher overall response rate compared with S-1 alone (RR 2.46, 95% CI 1.27 to 4.75; P = 0.007; participants = 140; trials = 2; I2 = 0%; very low certainty of evidence). Neither of the trials reported data for health-related quality of life or time to progression of the tumour.Gemcitabine plus oxaliplatin versus 5-fluorouracil plus folinic acid versus best supportive careOne three-arm trial compared gemcitabine plus oxaliplatin versus 5-fluorouracil plus folinic acid versus best supportive care. It reported no data for serious adverse events, health-related quality of life, or tumour progression. We rated the evidence for mortality and for overall response rate as of very low certainty.Gemcitabine plus oxaliplatin versus 5-fluorouracil plus cisplatin plus radiotherapyOne trial of 34 participants compared gemcitabine plus oxaliplatin versus 5-fluorouracil plus cisplatin plus radiotherapy. It reported no data for quality of life, overall response rate, or tumour progression outcomes. We rated the evidence for mortality and serious adverse events as of very low certainty.Gemcitabine plus mitomycin C versus capecitabine plus mitomycin COne trial of 51 participants compared gemcitabine plus mitomycin C versus capecitabine plus mitomycin C. It reported no data for serious adverse events, quality of life, or tumour progression. We rated the evidence for mortality, overall response rate and thrombocytopenia as of very low certainty.We also identified three ongoing trials evaluating outcomes of interest for our review, which we can incorporate in future updates.For-profit bias: there was a high risk of for-profit bias in two trials (because of industry sponsorship) while there was a low risk of for-profit bias in another three trials, and unclear risk in two trials. AUTHORS' CONCLUSIONS: In adults with advanced biliary tract carcinomas, the effects of gemcitabine or gemcitabine-based chemotherapy are uncertain on mortality and overall response compared with a range of inactive or active controls. The very low certainty of evidence is due to risk of bias, lack of information in the analyses and hence large imprecision, and possible publication bias. The confidence intervals do not rule out meaningful benefits or lack of effect of gemcitabine in all comparisons but one on mortality where gemcitabine plus cisplatin is compared with S-1 plus cisplatin. Gemcitabine-based regimens showed an increase in non-serious adverse events (particularly haematological toxicities). Further randomised clinical trials are mandatory, to further explore the best therapeutic options for adults with advanced biliary tract carcinomas.

S-1-based regimens for locally advanced/metastatic non-small-cell lung cancer: a meta-analysis.

AIM: We performed a meta-analysis of S-1-containing regimens versus control in the management of locally advanced/metastatic non-small-cell lung cancer. METHODOLOGY: Eligible studies included randomized studies evaluating S-1-containing regimens in the settings of locally advanced, first-line metastatic or second-line metastatic non-small-cell lung cancer. RESULTS: Pooled odds ratio for overall response rate was 1.09 (95% CI: 0.85-1.38; p = 0.2), the pooled hazard ratio for progression-free survival was 0.98 (95% CI: 0.88-1.09; p = 0.69) and the pooled hazard ratio for overall survival was 0.98 (95% CI: 0.88-1.10; p = 0.75) for S-1-based regimens versus control. Moreover, the relative risk of febrile neutropenia was 0.34 (95% CI: 0.20-0.59; p = 0.0001). CONCLUSION: Our meta-analysis has demonstrated that S-1-based regimens are associated with similar efficacy outcomes and better hematological tolerability.

Risk of selected gastrointestinal and hepatic toxicities in cancer patients treated with nintedanib: a meta-analysis.

BACKGROUND: A meta-analysis of the risk of selected gastrointestinal and hepatic toxicities associated with nintedanib has been conducted. METHODS: Randomized Phase II/III trials of cancer patients on nintedanib; describing events of diarrhea, vomiting, elevated ALT and elevated AST constituted the eligible studies. RESULTS: The odds ratio for high-grade diarrhea was 3.76 (95% CI: 1.42-9.96; p = 0.008); high-grade vomiting: 1.38 (95% CI: 0.76-2.51; p = 0.28); high-grade elevated ALT: 4.36 (95% CI: 2.14-8.85; p < 0.0001); high-grade elevated AST: 6.96 (95% CI: 4.09-11.85; p < 0.00001). CONCLUSION: Nintedanib-based regimens are associated with a higher risk of high-grade diarrhea, elevated ALT and elevated AST. Moreover, there is a proportional relationship between nintedanib dose and the risk of elevated transaminases.

Risk of endocrine complications in cancer patients treated with immune check point inhibitors: a meta-analysis.

BACKGROUND: We performed a meta-analysis of the risk of endocrine adverse events associated with immune check point inhibitors. METHODS: Eligible studies included randomized trials of cancer patients on immune checkpoint inhibitors; describing events of hypothyroidism, hyperthyroidism, hypophysitis and adrenal insufficiency. RESULTS: A total of ten clinical trials were eligible for the meta-analysis. The relative risk of all-grade hypothyroidism, hyperthyroidism, hypophyisitis and adrenal insufficiency were 8.26 (95% CI: 4.67-14.62; p < 0.00001), 5.48 (95% CI: 1.33-22.53; p = 0.02); 22.03 (95% CI: 8.52-56.94; p < 0.00001), 3.87 (95% CI: 1.12-13.41; p = 0.03), respectively. CONCLUSION: Our meta-analysis has demonstrated that the use of immune check point inhibitors is associated with an increased risk of hypothyroidism, hyperthyroidism, hypophysitis and adrenal insufficiency compared with control.

Risk of hematological toxicities in patients with solid tumors treated with ramucirumab: a meta-analysis.

BACKGROUND: We performed a meta-analysis of the risk of hematological adverse events associated with ramucirumab. METHODS: Eligible studies included randomized Phase II and III trials of patients with solid tumors on ramucirumab, describing events of anemia, leucopenia, neutropenia, febrile neutropenia and thrombocytopenia. RESULTS: A total of 11 clinical trials were considered eligible for the meta-analysis. The relative risks of all-grade anemia, leucopenia, neutropenia, febrile neutropenia and thrombocytopenia were 0.88 (95% CI: 0.80-0.96; p = 0.007), 1.13 (95% CI: 0.85-1.49; p = 0.41), 1.25 (95% CI: 1.08-1.44; p = 0.002), 1.63 (95% CI: 1.30-2.06; p < 0.0001), 1.91 (95% CI: 1.52-2.42; p < 0.00001), respectively. CONCLUSION: Our meta-analysis has demonstrated an increased risk of febrile neutropenia, all-grade and high-grade neutropenia and thrombocytopenia with ramucirumab-based treatment compared with control.

Risk of fatal pulmonary events in patients with advanced non-small-cell lung cancer treated with EGF receptor tyrosine kinase inhibitors: a comparative meta-analysis.

We performed a meta-analysis of fatal pulmonary events associated with erlotinib, gefitinib or afatinib in patients with non-small-cell lung cancer (NSCLC). Eligible studies included randomized trials of patients with NSCLC on the three drugs describing events of high-grade pulmonary events. The relative risk of high-grade interstitial lung disease, pneumonitis, pneumonia, pulmonary embolism and hemoptysis were 4.18 (95% CI: 2.49-7.01; p < 0.00001), 1.94 (95% CI: 0.93-4.06; p = 0.08), 1.28 (95% CI: 0.92-1.77; p = 0.14), 1.6 (95% CI: 0.81-3.18 p = 0.17), 1.00 (95% CI: 0.14-7.08 p = 0.35), respectively. Our meta-analysis has demonstrated that erlotinib, gefitinib and afatinib are associated with an increased risk of high-grade interstitial lung disease in patients with NSCLC.

Risk of cutaneous toxicities in patients with solid tumors treated with immune checkpoint inhibitors: a meta-analysis.

BACKGROUND: We performed a meta-analysis of the risk of cutaneous toxicities associated with immune checkpoint inhibitors. METHODS: Eligible studies included randomized trials of patients with solid tumors on immune checkpoint inhibitors (ipilimumab, nivolumab, tremelimumab, pidlizumab and pembrolizumab); describing events of rash, vitiligo and pruritus. RESULTS: A total of nine clinical trials were considered eligible for the meta-analysis. The relative risk of all-grade rash, vitiligo and pruritus was 4.06 (95% CI: 3.35-4.91; p < 0.0001), 16.3 (95% CI: 3.21-82.8; p = 0.0008) and 3.4 (95% CI: 2.24-5.16; p < 0.00001), respectively. CONCLUSION: Our meta-analysis demonstrates that immune checkpoint inhibitors are associated with an increased risk of all grade skin rash, vitiligo and pruritus. Clinicians should perform regular clinical cutaneous monitoring.

Risk of selected dermatological toxicities in cancer patients treated with MEK inhibitors: a comparative systematic review and meta-analysis.

BACKGROUND: This meta-analysis was conducted aiming at assessing the risk of selected dermatological toxicities associated with MEK inhibitors. METHODS: We considered relevant prospective randomized Phase II and III trials of cancer patients on the three MEK inhibitors (trametinib, selumetinib and cobimetinib), describing events of skin rash and acneiform dermatitis, as eligible for inclusion. RESULTS: After exclusion of ineligible studies, a total of 14 clinical trials were considered eligible for the meta-analysis. The relative risk of all-grade skin rash and acneiform dermatitis was 1.71 (95% CI: 1.07-2.72; p = 0.02) and 6.55 (95% CI: 3.42-12.56; p < 0.00001), correspondingly; while the relative risk of high-grade skin rash and acneiform dermatitis was 2.64 (95% CI: 1.42-4.91; p = 0.002) and 8.44 (95% CI: 2.39-29.81; p = 0.0009), respectively. CONCLUSION: Our meta-analysis has demonstrated that MEK inhibitor-based treatment is associated with an increased risk of all-grade and high-grade skin rash and acneiform dermatitis compared with control.

Proteinuria in Patients with Solid Tumors Treated with Ramucirumab: A Systematic Review and Meta-Analysis.

BACKGROUND: We performed a systematic review and meta-analysis of the risk of proteinuria associated with ramucirumab. METHODS: Eligible studies included randomized phase II and III trials of patients with solid tumors on ramucirumab, describing events of all-grade and high-grade proteinuria. RESULTS: Our search strategy yielded 170 potentially relevant citations from PubMed/Medline, CENTRAL Cochrane database, ASCO and ESMO meeting libraries. After exclusion of ineligible studies, a total of 11 clinical trials were considered eligible for the meta-analysis. The relative risk (RR) of all-grade proteinuria was 3.31 (95% CI 2.48-4.42; p < 0.00001). Moreover, the RR of high-grade proteinuria was 5.28 (95% CI 2.32-12.01; p < 0.0001). CONCLUSIONS: Our meta-analysis has demonstrated that ramucirumab use is associated with an increased risk of all-grade and high-grade proteinuria. Early detection strategies should be employed in those patients to prevent the progression to more sinister renal disease.

Noninvasive Molecular Subtyping of Pediatric Low-Grade Glioma with Self-Supervised Transfer Learning.

Purpose To develop and externally test a scan-to-prediction deep learning pipeline for noninvasive, MRI-based BRAF mutational status classification for pediatric low-grade glioma. Materials and Methods This retrospective study included two pediatric low-grade glioma datasets with linked genomic and diagnostic T2-weighted MRI data of patients: Dana-Farber/Boston Children's Hospital (development dataset, n = 214 [113 (52.8%) male; 104 (48.6%) BRAF wild type, 60 (28.0%) BRAF fusion, and 50 (23.4%) BRAF V600E]) and the Children's Brain Tumor Network (external testing, n = 112 [55 (49.1%) male; 35 (31.2%) BRAF wild type, 60 (53.6%) BRAF fusion, and 17 (15.2%) BRAF V600E]). A deep learning pipeline was developed to classify BRAF mutational status (BRAF wild type vs BRAF fusion vs BRAF V600E) via a two-stage process: (a) three-dimensional tumor segmentation and extraction of axial tumor images and (b) section-wise, deep learning-based classification of mutational status. Knowledge-transfer and self-supervised approaches were investigated to prevent model overfitting, with a primary end point of the area under the receiver operating characteristic curve (AUC). To enhance model interpretability, a novel metric, center of mass distance, was developed to quantify the model attention around the tumor. Results A combination of transfer learning from a pretrained medical imaging-specific network and self-supervised label cross-training (TransferX) coupled with consensus logic yielded the highest classification performance with an AUC of 0.82 (95% CI: 0.72, 0.91), 0.87 (95% CI: 0.61, 0.97), and 0.85 (95% CI: 0.66, 0.95) for BRAF wild type, BRAF fusion, and BRAF V600E, respectively, on internal testing. On external testing, the pipeline yielded an AUC of 0.72 (95% CI: 0.64, 0.86), 0.78 (95% CI: 0.61, 0.89), and 0.72 (95% CI: 0.64, 0.88) for BRAF wild type, BRAF fusion, and BRAF V600E, respectively. Conclusion Transfer learning and self-supervised cross-training improved classification performance and generalizability for noninvasive pediatric low-grade glioma mutational status prediction in a limited data scenario. Keywords: Pediatrics, MRI, CNS, Brain/Brain Stem, Oncology, Feature Detection, Diagnosis, Supervised Learning, Transfer Learning, Convolutional Neural Network (CNN) Supplemental material is available for this article. © RSNA, 2024.

Patterns of recurrence after radiotherapy for high-risk neuroblastoma: Implications for radiation dose and field.

BACKGROUND: Prognosis for patients with high-risk neuroblastoma (HR-NBL) is guarded despite aggressive therapy, and few studies have characterized outcomes after radiotherapy in relation to radiation treatment fields. METHODS: Multi-institutional retrospective cohort of 293 patients with HR-NBL who received autologous stem cell transplant (ASCT) and EBRT between 1997-2021. LRR was defined as recurrence at the primary site or within one nodal echelon beyond disease present at diagnosis. Follow-up was defined from the end of EBRT. Event-free survival (EFS) and OS were analyzed by Kaplan-Meier method. Cumulative incidence of locoregional progression (CILP) was analyzed using competing risks of distant-only relapse and death with Gray's test. RESULTS: Median follow-up was 7.0 years (range: 0.01-22.4). Five-year CILP, EFS, and OS were 11.9 %, 65.2 %, and 77.5 %, respectively. Of the 31 patients with LRR and imaging review, 15 (48.4 %) had in-field recurrences (>12 Gy), 6 (19.4 %) had marginal failures (≤12 Gy), and 10 (32.3 %) had both in-field and marginal recurrences. No patients receiving total body irradiation (12 Gy) experienced marginal-only failures (p = 0.069). On multivariable analyses, MYCN amplification had higher risk of LRR (HR: 2.42, 95 % CI: 1.06-5.50, p = 0.035) and post-consolidation isotretinoin and anti-GD2 antibody therapy (HR: 0.42, 95 % CI: 0.19-0.94, p = 0.035) had lower risk of LRR. CONCLUSIONS: Despite EBRT, LRR remains a contributor to treatment failure in HR-NBL with approximately half of LRRs including a component of marginal failure. Future prospective studies are needed to explore whether radiation fields and doses should be defined based on molecular features such as MYCN amplification, and/or response to chemotherapy.

Artificial Intelligence and Radiology Education.

Implementation of artificial intelligence (AI) applications into clinical practice requires AI-savvy radiologists to ensure the safe, ethical, and effective use of these systems for patient care. Increasing demand for AI education reflects recognition of the translation of AI applications from research to clinical practice, with positive trainee attitudes regarding the influence of AI on radiology. However, barriers to AI education, such as limited access to resources, predispose to insufficient preparation for the effective use of AI in practice. In response, national organizations have sponsored formal and self-directed learning courses to provide introductory content on imaging informatics and AI. Foundational courses, such as the National Imaging Informatics Course - Radiology and the Radiological Society of North America Imaging AI Certificate, lay a framework for trainees to explore the creation, deployment, and critical evaluation of AI applications. This report includes additional resources for formal programming courses, video series from leading organizations, and blogs from AI and informatics communities. Furthermore, the scope of "AI and radiology education" includes AI-augmented radiology education, with emphasis on the potential for "precision education" that creates personalized experiences for trainees by accounting for varying learning styles and inconsistent, possibly deficient, clinical case volume. © RSNA, 2022 Keywords: Use of AI in Education, Impact of AI on Education, Artificial Intelligence, Medical Education, Imaging Informatics, Natural Language Processing, Precision Education.

A genomic score to predict local control among patients with brain metastases managed with radiation.

BACKGROUND: Clinical predictors of local recurrence following radiation among patients with brain metastases (BrM) provide limited explanatory power. We developed a DNA-based signature of radiotherapeutic efficacy among patients with BrM to better characterize recurrence risk. METHODS: We identified 570 patients with 1487 BrM managed with whole-brain (WBRT) or stereotactic radiation therapy at Brigham and Women's Hospital/Dana-Farber Cancer Institute (2013-2020) for whom next-generation sequencing panel data (OncoPanel) were available. Fine/Gray's competing risks regression was utilized to compare local recurrence on a per-metastasis level among patients with versus without somatic alterations of likely biological significance across 84 genes. Genes with a q-value ≤ 0.10 were utilized to develop a "Brain-Radiation Prediction Score" ("Brain-RPS"). RESULTS: Genomic alterations in 11 (ATM, MYCL, PALB2, FAS, PRDM1, PAX5, CDKN1B, EZH2, NBN, DIS3, and MDM4) and 2 genes (FBXW7 and AURKA) were associated with decreased or increased risk of local recurrence, respectively (q-value ≤ 0.10). Weighted scores corresponding to the strength of association with local failure for each gene were summed to calculate a patient-level RPS. On multivariable Fine/Gray's competing risks regression, RPS [1.66 (1.44-1.91, P < .001)], metastasis-associated edema [1.60 (1.16-2.21), P = .004], baseline size [1.02 (1.01-1.03), P < .001] and receipt of WBRT without local therapy [4.04 (2.49-6.58), P < .001] were independent predictors of local failure. CONCLUSIONS: We developed a genomic score to quantify local recurrence risk following brain-directed radiation. To the best of our knowledge, this represents the first study to systematically correlate DNA-based alterations with radiotherapeutic outcomes in BrM. If validated, Brain-RPS has potential to facilitate clinical trials aimed at genome-based personalization of radiation in BrM.

Spatially-aware clustering improves AJCC-8 risk stratification performance in oropharyngeal carcinomas.

OBJECTIVE: Evaluate the effectiveness of machine learning tools that incorporate spatial information such as disease location and lymph node metastatic patterns-of-spread, for prediction of survival and toxicity in HPV+ oropharyngeal cancer (OPC). MATERIALS & METHODS: 675 HPV+ OPC patients that were treated at MD Anderson Cancer Center between 2005 and 2013 with curative intent IMRT were retrospectively collected under IRB approval. Risk stratifications incorporating patient radiometric data and lymph node metastasis patterns via an anatomically-adjacent representation with hierarchical clustering were identified. These clusterings were combined into a 3-level patient stratification and included along with other known clinical features in a Cox model for predicting survival outcomes, and logistic regression for toxicity, using independent subsets for training and validation. RESULTS: Four groups were identified and combined into a 3-level stratification. The inclusion of patient stratifications in predictive models for 5-yr Overall survival (OS), 5-year recurrence free survival, (RFS) and Radiation-associated dysphagia (RAD) consistently improved model performance measured using the area under the curve (AUC). Test set AUC improvements over models with clinical covariates, was 9 % for predicting OS, and 18 % for predicting RFS, and 7 % for predicting RAD. For models with both clinical and AJCC covariates, AUC improvement was 7 %, 9 %, and 2 % for OS, RFS, and RAD, respectively. CONCLUSION: Including data-driven patient stratifications considerably improve prognosis for survival and toxicity outcomes over the performance achieved by clinical staging and clinical covariates alone. These stratifications generalize well to across cohorts, and sufficient information for reproducing these clusters is included.

Incidence proportion and prognosis of leptomeningeal disease among patients with breast vs. non-breast primaries.

BACKGROUND: Leptomeningeal disease (LMD) is a relatively uncommon manifestation of advanced cancer. Patients with LMD carry a poor prognosis and often decline rapidly, complicating inclusion in clinical trials. Identification of LMD subsets of greater incidence and more favorable prognosis might facilitate dedicated clinical trials in the future. We hypothesized that patients with breast cancer may represent such a population and sought to assess the relative incidence and prognosis of LMD secondary to breast vs. non-breast primaries. METHODS: We identified 2411 patients with intracranial metastases secondary to breast (N = 501) and non-breast (N = 1910) primaries at Brigham and Women's Hospital/Dana-Farber Cancer Institute between 1996 and 2020, of whom 112 presented with and an additional 161 subsequently developed LMD. A log-rank test and Cox modeling were used to compare outcomes in patients with breast vs. non-breast primaries. RESULTS: Among patients with newly diagnosed intracranial disease, the incidence proportion of concurrent LMD was 11.4% vs. 2.9% among patients with breast vs. non-breast primaries (P < .001). Development of LMD among initially LMD-naïve patients was also more common among patients with breast vs. non-breast primaries (HR = 1.49 [1.05-2.11], P = .03). Patients with LMD secondary to breast vs. non-breast primaries displayed lower all-cause mortality (HR 0.70 [0.52-0.93], P = .01; median survival: 5.2 vs. 2.4 months, respectively), with a greater numerical difference observed in patients with LMD at intracranial involvement (7.4 vs. 2.6 months, respectively). CONCLUSIONS: Patients with breast cancer and LMD may represent an ideal population for clinical trials given the higher incidence and potentially more favorable prognosis seen in this population.

Automatic Head and Neck Tumor segmentation and outcome prediction relying on FDG-PET/CT images: Findings from the second edition of the HECKTOR challenge.

By focusing on metabolic and morphological tissue properties respectively, FluoroDeoxyGlucose (FDG)-Positron Emission Tomography (PET) and Computed Tomography (CT) modalities include complementary and synergistic information for cancerous lesion delineation and characterization (e.g. for outcome prediction), in addition to usual clinical variables. This is especially true in Head and Neck Cancer (HNC). The goal of the HEad and neCK TumOR segmentation and outcome prediction (HECKTOR) challenge was to develop and compare modern image analysis methods to best extract and leverage this information automatically. We present here the post-analysis of HECKTOR 2nd edition, at the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2021. The scope of the challenge was substantially expanded compared to the first edition, by providing a larger population (adding patients from a new clinical center) and proposing an additional task to the challengers, namely the prediction of Progression-Free Survival (PFS). To this end, the participants were given access to a training set of 224 cases from 5 different centers, each with a pre-treatment FDG-PET/CT scan and clinical variables. Their methods were subsequently evaluated on a held-out test set of 101 cases from two centers. For the segmentation task (Task 1), the ranking was based on a Borda counting of their ranks according to two metrics: mean Dice Similarity Coefficient (DSC) and median Hausdorff Distance at 95th percentile (HD95). For the PFS prediction task, challengers could use the tumor contours provided by experts (Task 3) or rely on their own (Task 2). The ranking was obtained according to the Concordance index (C-index) calculated on the predicted risk scores. A total of 103 teams registered for the challenge, for a total of 448 submissions and 29 papers. The best method in the segmentation task obtained an average DSC of 0.759, and the best predictions of PFS obtained a C-index of 0.717 (without relying on the provided contours) and 0.698 (using the expert contours). An interesting finding was that best PFS predictions were reached by relying on DL approaches (with or without explicit tumor segmentation, 4 out of the 5 best ranked) compared to standard radiomics methods using handcrafted features extracted from delineated tumors, and by exploiting alternative tumor contours (automated and/or larger volumes encompassing surrounding tissues) rather than relying on the expert contours. This second edition of the challenge confirmed the promising performance of fully automated primary tumor delineation in PET/CT images of HNC patients, although there is still a margin for improvement in some difficult cases. For the first time, the prediction of outcome was also addressed and the best methods reached relatively good performance (C-index above 0.7). Both results constitute another step forward toward large-scale outcome prediction studies in HNC.