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Background: This study aimed to create and validate a survival score for patients with metastatic spinal cord compression (MSCC) from cancer of unknown primary.Patients and Methods: The entire cohort (n = 182) was divided into a test group (n = 91) and a validation group (n = 91). In the test group, eight pretreatment factors including age, gender, Eastern Cooperative Oncology Group performance status (ECOG-PS), number of involved vertebrae, ambulatory status, other bone metastases, visceral metastases, and time of developing motor deficits were retrospectively analyzed.Results: The score included the prognostic factors that were significant for survival in the multivariate analysis (ECOG-PS, ambulatory status, visceral metastases, time of developing motor deficits). The score for each factor was determined by dividing the 6-month survival rate by 10. Prognostic scores represented the sum of the scores for the four factors and ranged from 5 to 20 points. The 6-month survival rates were 5% for < 14 points, 41% for 14-16 points, and 92% for > 16 points (p < 0.001). In the validation group, the 6-month survival rates were 7%, 38%, and 91% (p < 0.001).Conclusion: This survival score can be considered valid and reproducible, since the survival rates of the validation group were comparable to those of the test group. This score can help when selecting the individual treatment and when counseling patients and relatives. [ABSTRACT FROM AUTHOR]

Background: Zoledronic acid was demonstrated to reduce the rate of skeletal-related events, a hypernym including various outcomes, in patients with bone metastases. In contrast to other studies, this matched-pair analysis focused solely on the impact of zoledronic acid on metastatic spinal cord compression (MSCC).Patients and Methods: Data from 98 patients with MSCC receiving radiotherapy plus zoledronic acid were matched 1:2 to 196 patients receiving radiotherapy alone for ten potential prognostic factors. Both groups were compared for local control of MSCC within the irradiated region, overall control of MSCC (local and distant MSCC control), and survival.Results: The 1-year local control rates were 90% after radiotherapy plus zoledronic acid and 81%, after radiotherapy alone (p = 0.042). The 1-year overall control rates were 87% and 75%, respectively (p = 0.016), and the 1-year survival rates were 60% and 52%, respectively (p = 0.17). Results were significant in the Cox proportional hazards model regarding local control (p = 0.024) and overall control (p = 0.008).Conclusion: According to the results of this study, zoledronic acid was associated with improved control of MSCC in irradiated patients. [ABSTRACT FROM AUTHOR]

Background: This study aimed to develop and validate a survival scoring system for patients with metastatic spinal cord compression (MSCC) from prostate cancer.Patients and Methods: Of 436 patients, 218 patients were assigned to the test group and 218 patients to the validation group. Eight potential prognostic factors (age, performance status, number of involved vertebrae, ambulatory status, other bone metastases, visceral metastases, interval from cancer diagnosis to radiotherapy of MSCC, time developing motor deficits) plus the fractionation regimen were retrospectively investigated for associations with survival. Factors significant in the multivariate analysis were included in the survival score. The score for each significant prognostic factor was determined by dividing the 6-month survival rate (%) by 10. The total score represented the sum of the scores for each factor. The prognostic groups of the test group were compared to the validation group.Results: In the multivariate analysis of the test group, performance status, ambulatory status, other bone metastases, visceral metastases, and interval from cancer diagnosis to radiotherapy were significantly associated with survival. Total scores including these factors were 20, 21, 22, 24, 26, 28, 29, 30, 31, 32, 33, 35, 37, or 39 points. In the test group, the 6-month survival rates were 6.5% for 20-24 points, 44.6% for 26-33 points, and 95.8% for 35-39 points (p < 0.0001). In the validation group, the 6-month survival rates were 7.4%, 45.4%, and 94.7%, respectively (p < 0.0001).Conclusions: Because the survival rates of the validation group were almost identical to the test group, this score can be considered valid and reproducible. [ABSTRACT FROM AUTHOR]

Background: Patients with metastatic spinal cord compression (MSCC) from non-small cell lung cancer (NSCLC) have an unfavorable prognosis compared to most other MSCC patients. This study was performed to identify prognostic factors for functional outcome and survival in these patients after radiotherapy (RT) alone.Patients and Methods: Data of 356 patients irradiated for MSCC from NSCLC were retrospectively analyzed. Ten potential prognostic factors were investigated including age, gender, Eastern cooperative Oncology Group performance score (ECOG-PS), number of involved vertebrae, pre-RT ambulatory status, other bone metastases, visceral metastases, interval from cancer diagnosis to RT of MSCC, time developing motor deficits before RT, and the radiation schedule.Results: On multivariate analysis, better functional outcome was associated with pre-RT ambulatory status (estimate: - 0.84, p = 0.022), no visceral metastases (estimate: - 1.15, p < 0.001), interval from cancer diagnosis to RT of > 15 months (estimate:  + 0.48, p = 0.019), and slower (> 7 days) development of motor deficits (estimate:  + 1.56, p < 0.001). On multivariate analysis, improved survival was significantly associated with female gender (risk ratio (RR) 1.32, p = 0.043), ECOG-PS 1-2 (RR 1.45, p = 0.034), pre-RT ambulatory status (RR 0.58, p < 0.001), no other bone metastases (RR 1.38, p = 0.010), no visceral metastases (RR 2.87, p < 0.001), interval from cancer diagnosis to RT of > 15 months (RR 0.84, p = 0.035), and slower (> 7 days) development of motor deficits (RR 0.78, p < 0.001).Conclusion: This study identified additional independent prognostic factors for outcomes after radiotherapy of MSCC from NSCLC. These prognostic factors can be used for stratification in future trials and can help develop prognostic scores for MSCC from NSCLC. [ABSTRACT FROM AUTHOR]

Background: The authors investigated the putative surrogate endpoints of best response, complete response (CR), confirmed response, and progression-free survival (PFS) for associations with overall survival (OS), and as possible surrogate endpoints for OS.Methods: Individual patient data from 870 untreated extensive stage small-cell lung cancer patients participating in 6 single-arm (274 patients) and 3 randomized trials (596 patients) were pooled. Patient-level associations between putative surrogate endpoints and OS were assessed by Cox models using landmark analyses. Trial-level surrogacy of putative surrogate endpoints were assessed by the association of treatment effects on OS and individual putative surrogate endpoints. Trial-level surrogacy measures included: R(2) from weighted least squares regression model, Spearman correlation coefficient, and R(2) from bivariate survival model (Copula R(2) ).Results: Median OS and PFS were 9.6 (95% confidence interval [CI], 9.1-10.0) and 5.5 (95% CI, 5.2-5.9) months, respectively; best response, CR, and confirmed response rates were 44%, 22%, and 34%, respectively. Patient-level associations showed that PFS status at 4 months was a strong predictor of subsequent survival (hazard ratio [HR], 0.42; 95% CI, 0.35-0.51; concordance index 0.63; P < .01), with 6-month PFS being the strongest (HR, 0.41; 95% CI, 0.35-0.49; concordance index, 0.66, P < .01). At the trial level, PFS showed the highest level of surrogacy for OS (weighted least squares R(2) = 0.79; Copula R(2) = 0.80), explaining 79% of the variance in OS. Tumor response endpoints showed lower surrogacy levels (weighted least squares R(2) ≤0.48).Conclusions: PFS was strongly associated with OS at both the patient and trial levels. PFS also shows promise as a potential surrogate for OS, but further validation is needed using data from a larger number of randomized phase 3 trials. [ABSTRACT FROM AUTHOR]

Background: The current study was conducted to assess the efficacy and toxicity of sorafenib as front-line therapy in patients with stage IIIB (pleural effusion) or IV nonsmall cell lung cancer (NSCLC).Methods: Patients received sorafenib 400 mg twice daily by mouth continuously, and were evaluated every 2 weeks during the first 8 weeks. Patients who manifested clinical progression during this period proceeded to receive standard of care. The primary endpoint was confirmed objective tumor response. A 2-stage Fleming design was used such that if at most 1 confirmed partial response (PR) or complete response was observed in the first 20 patients (stage 1), the treatment would be considered ineffective, and further enrollment would be discontinued.Results: Only 1 PR was observed in the first 20 patients. By the time of study closure, 5 additional patients who were already being screened for study inclusion were enrolled. Of the 25 patients (15 women, 10 men; 4 stage IIIB, 21 stage IV; median age, 67 years [range, 45-85 years]), there were 3 (12%) PRs and 6 (24%) cases with stable disease observed. The median time-to-progression and progression-free survival was 2.8 months. Seven (28%) patients remained progression-free at 24 weeks. No grade 3 or higher hematologic adverse events were observed. Thirteen (52%) patients had a grade 3 nonhematologic adverse event, with fatigue (20%), diarrhea (8%), and dyspnea (8%) being the most common.Conclusions: Sorafenib is not effective as front-line therapy in the general unselected NSCLC population. The window of opportunity design is feasible for estimating the activity of novel compounds. [ABSTRACT FROM AUTHOR]

Background: An analysis of 14 small cell lung cancer (SCLC) trials was performed to improve the current understanding of potential prognostic factors for overall survival (OS) and progression-free survival (PFS) in groups of patients with limited-stage disease SCLC (LD-SCLC) and extensive-stage disease SCLC (ED-SCLC) separately.Methods: Data on 688 patients with LD-SCLC and 910 patients with ED-SCLC were included. Clinical and laboratory factors were tested for their prognostic significance using Cox regression models that were stratified by protocol. Recursive partitioning and amalgamation (RPA) analyses were used to identify prognostic subgroups.Results: Poorer performance status (PS) led to worse OS and PFS in the ED-SCLC group but not in the LD-SCLC group. The prognostic impact of PS was strong for men but weak for women in the ED-SCLC group (interaction P value <.012 for OS and PFS). Other negative prognostic factors included increased age and men for the LD-SCLC group and increased age, men, increased number of metastatic sites at baseline, and increased creatinine levels for the ED-SCLC group. In patients with the ED-SCLC, RPA analyses identified 5 subgroups with different prognosis based on baseline PS, creatinine levels, sex, and the number of metastatic sites.Conclusions: The current pooled analysis identified baseline creatinine levels and the number of metastatic sites as important prognostic factors in patients with ED-SCLC in addition to the well established factors of sex, age, and PS. There was a significant interaction between sex and PS within the ED-SCLC group, suggesting that PS is highly prognostic in men but has no significant impact in women. Within the LD-SCLC group, only age and sex were identified as important prognostic factors. RPA analyses confirmed many of these findings. [ABSTRACT FROM AUTHOR]

Purpose: To evaluate, in a prospective study, the use of (111)In-capromab pendetide (ProstaScint) scan to guide the delivery of a concomitant boost to intraprostatic region showing increased uptake while treating the entire gland with intensity-modulated radiotherapy for localized prostate cancer. Methods and Materials: From September 2002 to November 2005, 71 patients were enrolled. Planning pelvic CT and (111)In-capromab pendetide scan images were coregistered. The entire prostate gland received 75.6 Gy/42 fractions, whereas areas of increased uptake in (111)In-capromab pendetide scan received 82 Gy. For patients with T3/T4 disease, or Gleason score ≥8, or prostate-specific antigen level >20 ng/mL, 12 months of adjuvant androgen deprivation therapy was given. In January 2005 the protocol was modified to give 6 months of androgen deprivation therapy to patients with a prostate-specific antigen level of 10-20 ng/mL or Gleason 7 disease. Results: Thirty-one patients had low-risk, 30 had intermediate-risk, and 10 had high-risk disease. With a median follow-up of 66 months, the 5-year biochemical control rates were 94% for the entire cohort and 97%, 93%, and 90% for low-, intermediate-, and high-risk groups, respectively. Maximum acute and late urinary toxicities were Grade 2 for 38 patients (54%) and 28 patients (39%) and Grade 3 for 1 and 3 patients (4%), respectively. One patient had Grade 4 hematuria. Maximum acute and late gastrointestinal toxicities were Grade 2 for 32 patients (45%) and 15 patients (21%), respectively. Most of the side effects improved with longer follow-up. Conclusion: Concomitant boost to areas showing increased uptake in (111)In-capromab pendetide scan to 82 Gy using intensity-modulated radiotherapy while the entire prostate received 75.6 Gy was feasible and tolerable, with 94% biochemical control rate at 5 years. [ABSTRACT FROM AUTHOR]

OBJECTIVE: To develop evidence-based guidelines on best available treatment options for patients with stage IIIB non-small cell lung cancer (NSCLC). METHODS: A review was conducted of published English-language (abstract or full text) phase II or phase III trials and guidelines from other organizations that address management of the various categories of stage IIIB disease. The literature search was provided by the Duke University Center for Clinical Health Policy Research and supplemented by any additional studies known by the authors. RESULTS: Surgery may be indicated for carefully selected patients with T4N0-1M0. Patients with N3 nodal involvement are not considered to be surgical candidates. For individuals with unresectable disease, good performance score, and minimal weight loss, treatment with combined chemoradiotherapy results in better survival than radiotherapy (RT) alone. Concurrent chemoradiotherapy seems to be associated with improved survival compared with sequential chemoradiotherapy. Multiple daily fractions of RT when combined with chemotherapy have not been shown to result in improved survival compared with standard once-daily RT combined with chemotherapy. The optimal chemotherapy agents and the number of cycles of treatment to combine with RT are uncertain. CONCLUSION: Prospective trials are needed to answer important questions, such as the role of induction therapy in patients with potentially resectable stage IIIB disease. Future trials are needed to answer the questions of optimal chemotherapy agents and radiation fractionation schedule. The role of targeted novel agents in combination with chemoradiotherapy is just starting to be investigated. [ABSTRACT FROM AUTHOR]

Every year in the United States, breast cancer is diagnosed in more than 200,000 women. Because of the prevalence of breast cancer, treatment-related sequelae are of Importance to many survivors of the disease. One such sequela is upper extremity lymphedema, which occurs when fluid accumulates in the Interstitial space and causes enlargement and usually a feeling of heaviness in the limb. Axillary surgery contributes considerably to the incidence of lymphedema, with the incidence and severity of swelling related to the number of lymph nodes removed. Lymphedema after standard axillary lymph node dissection can occur in up to approximately 50% of patients. However, the risk of lymphedema is decreased substantially with newer sentinel lymph node sampling procedures. Adjuvant radiotherapy to the breast or lymph nodes increases the risk of lymphedema, which has been reported in 9% to 40% of these patients. Management of lymphedema requires a multidisciplinary approach to minimize the effect on the patient's quality of life. This review presents an overview of the pathophysiology, diagnosis, prevention, and treatment of breast cancer-related lymphedema. [ABSTRACT FROM AUTHOR]

This study is the first one to compare WBRT+SRS to OP+WBRT for 1-3 brain metastases. Survival (OS), intracerebral control (IC) and local control (LC) of the treated metastases were retrospectively evaluated in 52 patients undergoing WBRT+SRS and in 52 patients undergoing OP+WBRT. Both groups were matched for WBRT schedule, age, gender, performance status, tumour, number of brain metastases, extracerebral metastases, RPA class and interval from tumour diagnosis to WBRT. One-year OS was 56% after WBRT+SRS and 47% after OP+WBRT (p=0.034). One-year IC was 66% and 50% (p=0.003). One-year LC was 82% and 66% (p=0.006). On multivariate analyses, it was found that improved OS was associated with younger age (p=0.044), no extracerebral metastases (p<0.001), RPA class 1 (p<0.001) and longer interval from tumour diagnosis to WBRT (p=0.001). IC was associated with younger age (p=0.002) and longer interval (p=0.004); WBRT+SRS achieved borderline significance (p=0.052). Improved LC was associated with longer interval (p=0.017); WBRT+SRS showed a trend (p=0.09). WBRT+SRS appears at least as effective as OP+WBRT. [ABSTRACT FROM AUTHOR]

Lung cancer is the leading cause of cancer-related mortality not only in the United States but also around the world. In North America, lung cancer has become more predominant among former than current smokers. Yet in some countries, such as China, which has experienced a dramatic increase in the cigarette smoking rate during the past 2 decades, a peak in lung cancer incidence is still expected. Approximately two-thirds of adult Chinese men are smokers, representing one-third of all smokers worldwide. Non-small cell lung cancer accounts for 85% of all lung cancer cases in the United States. After the initial diagnosis, accurate staging of non-small cell lung cancer using computed tomography or positron emission tomography is crucial for determining appropriate therapy. When feasible, surgical resection remains the single most consistent and successful option for cure. However, close to 70% of patients with lung cancer present with locally advanced or metastatic disease at the time of diagnosis. Chemotherapy is beneficial for patients with metastatic disease, and the administration of concurrent chemotherapy and radiation is indicated for stage III lung cancer. The introduction of angiogenesis, epidermal growth factor receptor inhibitors, and other new anti-cancer agents is changing the present and future of this disease and will certainly increase the number of lung cancer survivors. We identified studies for this review by searching the MEDLINE and PubMed databases for English-language articles published from January 1, 1980, through January 31, 2008. Key terms used for this search included non-small cell lung cancer, adenocarcinoma, squamous cell carcinoma, bronchioalveolar cell carcinoma, large cell carcinoma, lung cancer epidemiology, genetics, survivorship, surgery, radiation therapy, chemotherapy, targeted therapy, bevacizumab, erlotinib, and epidermal growth factor receptor. [ABSTRACT FROM AUTHOR]

Critical to the clinical management of a patient with malignant melanoma is an understanding of its natural history. As with most malignant disorders, prognosis is highly dependent on the clinical stage (extent of tumor burden) at the time of diagnosis. The patient's clinical stage at diagnosis dictates selection of therapy. We review the state of the art in melanoma staging, prognosis, and therapy. Substantial progress has been made in this regard during the past 2 decades. This progress is primarily reflected in the development of sentinel lymph node biopsies as a means of reducing the morbidity associated with regional lymph node dissection, increased understanding of the role of neoangiogenesis in the natural history of melanoma and its potential as a treatment target, and emergence of innovative multimodal therapeutic strategies, resulting in significant objective response rates in a disease commonly believed to be drug resistant. Although much work remains to be done to improve the survival of patients with melanoma, clinically meaningful results seem within reach. [ABSTRACT FROM AUTHOR]

Purpose: Online adaptive proton therapy (oAPT) is essential to address interfractional anatomical changes in patients receiving pencil beam scanning proton therapy. Artificial intelligence (AI)-based autosegmentation can increase the efficiency and accuracy. Linear energy transfer (LET)-based biological effect evaluation can potentially mitigate possible adverse events caused by high LET. New spot arrangement based on the verification computed tomography (vCT) can further improve the replan quality. We propose an oAPT workflow that incorporates all these functionalities and validate its clinical implementation feasibility with patients with prostate cancer., Methods and Materials: AI-based autosegmentation tool AccuContour (Manteia) was seamlessly integrated into oAPT. Initial spot arrangement tool on the vCT for reoptimization was implemented using raytracing. An LET-based biological effect evaluation tool was developed to assess the overlap region of high dose and high LET in selected organs at risk. Eleven patients with prostate cancer were retrospectively selected to verify the efficacy and efficiency of the proposed oAPT workflow. The time cost of each component in the workflow was recorded for analysis., Results: The verification plan showed significant degradation of the clinical target volume coverage and rectum and bladder sparing due to the interfractional anatomical changes. Reoptimization on the vCT resulted in great improvement of the plan quality. No overlap regions of high dose and high LET distributions were observed in bladder or rectum in replans. Three-dimensional γ analyses in patient-specific quality assurance confirmed the accuracy of the replan doses before delivery (γ passing rate, 99.57% ± 0.46%) and after delivery (98.59% ± 1.29%). The robustness of the replans passed all clinical requirements. The average time for the complete execution of the workflow was 9.12 ± 0.85 minutes, excluding manual intervention time., Conclusions: The AI-facilitated oAPT workflow demonstrated to be both efficient and effective by generating a replan that significantly improved the plan quality in prostate cancer treated with pencil beam scanning proton therapy., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Importance: The optimal radiotherapy technique for unresectable locally advanced non-small cell lung cancer (NSCLC) is controversial, so evaluating long-term prospective outcomes of intensity-modulated radiotherapy (IMRT) is important., Objective: To compare long-term prospective outcomes of patients receiving IMRT and 3-dimensional conformal radiotherapy (3D-CRT) with concurrent carboplatin/paclitaxel for locally advanced NSCLC., Design, Setting, and Participants: A secondary analysis of a prospective phase 3 randomized clinical trial NRG Oncology-RTOG 0617 assessed 483 patients receiving chemoradiotherapy (3D-CRT vs IMRT) for locally advanced NSCLC based on stratification., Main Outcomes and Measures: Long-term outcomes were analyzed, including overall survival (OS), progression-free survival (PFS), time to local failure, development of second cancers, and severe grade 3 or higher adverse events (AEs) per Common Terminology Criteria for Adverse Events, version 3. The percentage of an organ volume (V) receiving a specified amount of radiation in units of Gy is reported as V(radiation dose)., Results: Of 483 patients (median [IQR] age, 64 [57-70] years; 194 [40.2%] female), 228 (47.2%) received IMRT, and 255 (52.8%) received 3D-CRT (median [IQR] follow-up, 5.2 [4.8-6.0] years). IMRT was associated with a 2-fold reduction in grade 3 or higher pneumonitis AEs compared with 3D-CRT (8 [3.5%] vs 21 [8.2%]; P = .03). On univariate analysis, heart V20, V40, and V60 were associated with worse OS (hazard ratios, 1.06 [95% CI, 1.04-1.09]; 1.09 [95% CI, 1.05-1.13]; 1.16 [95% CI, 1.09-1.24], respectively; all P < .001). IMRT significantly reduced heart V40 compared to 3D-CRT (16.5% vs 20.5%; P < .001). Heart V40 (<20%) had better OS than V40 (≥20%) (median [IQR], 2.5 [2.1-3.1] years vs 1.7 [1.5-2.0] years; P < .001). On multivariable analysis, heart V40 (≥20%), was associated with worse OS (hazard ratio, 1.34 [95% CI, 1.06-1.70]; P = .01), whereas lung V5 and age had no association with OS. Patients receiving IMRT and 3D-CRT had similar rates of developing secondary cancers (15 [6.6%] vs 14 [5.5%]) with long-term follow-up., Conclusions and Relevance: These findings support the standard use of IMRT for locally advanced NSCLC. IMRT should aim to minimize lung V20 and heart V20 to V60, rather than constraining low-dose radiation bath. Lung V5 and age were not associated with survival and should not be considered a contraindication for chemoradiotherapy., Trial Registration: ClinicalTrials.gov Identifier: NCT00533949.

Background: Prolonged survival of patients with metastatic disease has furthered interest in metastasis-directed therapy (MDT)., Research Question: There is a paucity of data comparing lung MDT modalities. Do outcomes among sublobar resection (SLR), stereotactic body radiation therapy (SBRT), and percutaneous ablation (PA) for lung metastases vary in terms of local control and survival?, Study Design and Methods: Medical records of patients undergoing lung MDT at a single cancer center between January 2015 and December 2020 were reviewed. Overall survival, local progression, and toxicity outcomes were collected. Patient and lesion characteristics were used to generate multivariable models with propensity weighted analysis., Results: Lung MDT courses (644 total: 243 SLR, 274 SBRT, 127 PA) delivered to 511 patients were included with a median follow-up of 22 months. There were 47 local progression events in 45 patients, and 159 patients died. Two-year overall survival and local progression were 80.3% and 63.3%, 83.8% and 9.6%, and 4.1% and 11.7% for SLR, SBRT, and PA, respectively. Lesion size per 1 cm was associated with worse overall survival (hazard ratio, 1.24; P = .003) and LP (hazard ratio, 1.50; P < .001). There was no difference in overall survival by modality. Relative to SLR, there was no difference in risk of local progression with PA; however, SBRT was associated with a decreased risk (hazard ratio, 0.26; P = .023). Rates of severe toxicity were low (2.1%-2.6%) and not different among groups., Interpretation: This study performs a propensity weighted analysis of SLR, SBRT, and PA and shows no impact of lung MDT modality on overall survival. Given excellent local control across MDT options, a multidisciplinary approach is beneficial for patient triage and longitudinal management., Competing Interests: Financial/Nonfinancial Disclosures None declared., (Copyright © 2023 American College of Chest Physicians. Published by Elsevier Inc. All rights reserved.)

Patients with metastatic epidural spinal cord compression (MESCC) and favorable survival prognoses may benefit from radiation doses exceeding 10 × 3.0 Gy. In a multi-center phase 2 trial, patients receiving 15 × 2.633 Gy (41.6 Gy 10 ) or 18 × 2.333 Gy (43.2 Gy 10 ) were evaluated for local progression-free survival (LPFS), motor/sensory functions, ambulatory status, pain, distress, toxicity, and overall survival (OS). They were compared (propensity score-adjusted Cox regression) to a historical control group (n = 266) receiving 10 × 3.0 Gy (32.5 Gy 10 ). In the phase 2 cohort, 50 (of 62 planned) patients were evaluated for LPFS. Twelve-month rates of LPFS and OS were 96.8% and 69.9%, respectively. Motor and sensory functions improved in 56% and 57.1% of patients, and 94.0% were ambulatory following radiotherapy. Pain and distress decreased in 84.4% and 78.0% of patients. Ten and two patients experienced grade 2 and 3 toxicities, respectively. Phase 2 patients showed significantly better LPFS than the control group ( p = 0.039) and a trend for improved motor function ( p = 0.057). Ambulatory and OS rates were not significantly different. Radiotherapy with 15 × 2.633 Gy or 18 × 2.333 Gy was well tolerated and appeared superior to 10 × 3.0 Gy.

Background: Accurate and efficient dose calculation is essential for on-line adaptive planning in proton therapy. Deep learning (DL) has shown promising dose prediction results in photon therapy. However, there is a scarcity of DL-based dose prediction methods specifically designed for proton therapy. Successful dose prediction method for proton therapy should account for more challenging dose prediction problems in pencil beam scanning proton therapy (PBSPT) due to its sensitivity to heterogeneities., Purpose: To develop a DL-based PBSPT dose prediction workflow with high accuracy and balanced complexity to support on-line adaptive proton therapy clinical decision and subsequent replanning., Methods: PBSPT plans of 103 prostate cancer patients (93 for training and the other 10 for independent testing) and 83 lung cancer patients (73 for training and the other 10 for independent testing) previously treated at our institution were included in the study, each with computed tomography scans (CTs), structure sets, and plan doses calculated by the in-house developed Monte-Carlo dose engine (considered as the ground truth in the model training and testing). For the ablation study, we designed three experiments corresponding to the following three methods: (1) Experiment 1, the conventional region of interest (ROI) (composed of targets and organs-at-risk [OARs]) method. (2) Experiment 2, the beam mask (generated by raytracing of proton beams) method to improve proton dose prediction. (3) Experiment 3, the sliding window method for the model to focus on local details to further improve proton dose prediction. A fully connected 3D-Unet was adopted as the backbone. Dose volume histogram (DVH) indices, 3D Gamma passing rates with a criterion of 3%/3 mm/10%, and dice coefficients for the structures enclosed by the iso-dose lines between the predicted and the ground truth doses were used as the evaluation metrics. The calculation time for each proton dose prediction was recorded to evaluate the method's efficiency., Results: Compared to the conventional ROI method, the beam mask method improved the agreement of DVH indices for both targets and OARs and the sliding window method further improved the agreement of the DVH indices (for lung cancer, CTV D98 absolute deviation: 0.74 ± 0.18 vs. 0.57 ± 0.21 vs. 0.54 ± 0.15 Gy[RBE], ROI vs. beam mask vs. sliding window methods, respectively). For the 3D Gamma passing rates in the target, OARs, and BODY (outside target and OARs), the beam mask method improved the passing rates in these regions and the sliding window method further improved them (for prostate cancer, targets: 96.93% ± 0.53% vs. 98.88% ± 0.49% vs. 99.97% ± 0.07%, BODY: 86.88% ± 0.74% vs. 93.21% ± 0.56% vs. 95.17% ± 0.59%). A similar trend was also observed for the dice coefficients. This trend was especially remarkable for relatively low prescription isodose lines (for lung cancer, 10% isodose line dice: 0.871 ± 0.027 vs. 0.911 ± 0.023 vs. 0.927 ± 0.017). The dose predictions for all the testing cases were completed within 0.25 s., Conclusions: An accurate and efficient deep learning-augmented proton dose prediction framework has been developed for PBSPT, which can predict accurate dose distributions not only inside but also outside ROI efficiently. The framework can potentially further reduce the initial planning and adaptive replanning workload in PBSPT., (© 2023 American Association of Physicists in Medicine.)

Radiation therapy (RT) is a frontline approach to treating cancer. While the target of radiation dose delivery is the tumor, there is an inevitable spill of dose to nearby normal organs causing complications. This phenomenon is known as radiotherapy toxicity. To predict the outcome of the toxicity, statistical models can be built based on dosimetric variables received by the normal organ at risk (OAR), known as Normal Tissue Complication Probability (NTCP) models. To tackle the challenge of the high dimensionality of dosimetric variables and limited clinical sample sizes, statistical models with variable selection techniques are viable choices. However, existing variable selection techniques are data-driven and do not integrate medical domain knowledge into the model formulation. We propose a knowledge-constrained generalized linear model (KC-GLM). KC-GLM includes a new mathematical formulation to translate three pieces of domain knowledge into non-negativity, monotonicity, and adjacent similarity constraints on the model coefficients. We further propose an equivalent transformation of the KC-GLM formulation, which makes it possible to solve the model coefficients using existing optimization solvers. Furthermore, we compare KC-GLM and several well-known variable selection techniques via a simulation study and on two real datasets of prostate cancer and lung cancer, respectively. These experiments show that KC-GLM selects variables with better interpretability, avoids producing counter-intuitive and misleading results, and has better prediction accuracy., Competing Interests: Disclosure statement of interest The authors report no conflict of interest.

Background: Deformable Image Registration (DIR) is an essential technique required in many applications of radiation oncology. However, conventional DIR approaches typically take several minutes to register one pair of 3D CT images and the resulting deformable vector fields (DVFs) are only specific to the pair of images used, making it less appealing for clinical application., Purpose: A deep-learning-based DIR method using CT images is proposed for lung cancer patients to address the common drawbacks of the conventional DIR approaches and in turn can accelerate the speed of related applications, such as contour propagation, dose deformation, adaptive radiotherapy (ART), etc. METHODS: A deep neural network based on VoxelMorph was developed to generate DVFs using CT images collected from 114 lung cancer patients. Two models were trained with the weighted mean absolute error (wMAE) loss and structural similarity index matrix (SSIM) loss (optional) (i.e., the MAE model and the M+S model). In total, 192 pairs of initial CT (iCT) and verification CT (vCT) were included as a training dataset and the other independent 10 pairs of CTs were included as a testing dataset. The vCTs usually were taken 2 weeks after the iCTs. The synthetic CTs (sCTs) were generated by warping the vCTs according to the DVFs generated by the pre-trained model. The image quality of the synthetic CTs was evaluated by measuring the similarity between the iCTs and the sCTs generated by the proposed methods and the conventional DIR approaches, respectively. Per-voxel absolute CT-number-difference volume histogram (CDVH) and MAE were used as the evaluation metrics. The time to generate the sCTs was also recorded and compared quantitatively. Contours were propagated using the derived DVFs and evaluated with SSIM. Forward dose calculations were done on the sCTs and the corresponding iCTs. Dose volume histograms (DVHs) were generated based on dose distributions on both iCTs and sCTs generated by two models, respectively. The clinically relevant DVH indices were derived for comparison. The resulted dose distributions were also compared using 3D Gamma analysis with thresholds of 3 mm/3%/10% and 2 mm/2%/10%, respectively., Results: The two models (wMAE and M+S) achieved a speed of 263.7±163 / 265.8±190 ms and a MAE of 13.15±3.8 / 17.52±5.8 HU for the testing dataset, respectively. The average SSIM scores of 0.987±0.006 and 0.988±0.004 were achieved by the two proposed models, respectively. For both models, CDVH of a typical patient showed that less than 5% of the voxels had a per-voxel absolute CT-number-difference larger than 55 HU. The dose distribution calculated based on a typical sCT showed differences of ≤2cGy[RBE] for clinical target volume (CTV) D 95 and D 5 , within ±0.06% for total lung V 5 , ≤1.5cGy[RBE] for heart and esophagus D mean , and ≤6cGy[RBE] for cord D max compared to the dose distribution calculated based on the iCT. The good average 3D Gamma passing rates (> 96% for 3 mm/3%/10% and > 94% for 2 mm/2%/10%, respectively) were also observed., Conclusion: A deep neural network-based DIR approach was proposed and has been shown to be reasonably accurate and efficient to register the initial CTs and verification CTs in lung cancer., (© 2023 American Association of Physicists in Medicine.)

Purpose: To assess the clinical acceptability of a commercial deep-learning-based auto-segmentation (DLAS) prostate model that was retrained using institutional data for delineation of the clinical target volume (CTV) and organs-at-risk (OARs) for postprostatectomy patients, accounting for clinical and imaging protocol variations., Methods and Materials: CTV and OARs of 109 prostate-bed patients were used to evaluate the performance of the vendor-trained model and custom retrained DLAS models using different training quantities. Two new models for OAR structures were retrained (n = 30, 60 data sets), while separate models were trained for a new CTV structure (n = 30, 60, 90 data sets), with the remaining data sets used for testing (n = 49, 19). The dice similarity coefficient (DSC), Hausdorff distance, and mean surface distance were evaluated. Six radiation oncologists performed a qualitative evaluation scoring both preference and clinical utility for blinded structure sets. Physician consensus data sets identified from the qualitative evaluation were used toward a separate CTV model., Results: Both the 30- and 60-case retrained OAR models had median DSC values between 0.91 to 0.97, improving significantly over the vendor-trained model for all OARs except the penile bulb. The brand new 60-case CTV model had a median DSC of 0.70 improving significantly over the 30-case model. DLAS (60-case model) and manual contours were blinded and evaluated by physicians with contours deemed acceptable or precise for 87% and 94% of cases for DLAS and manual delineations, respectively. DLAS-generated CTVs were scored precise or acceptable in 54% of cases, compared with the manual delineation value of 73%. The 30-case physician consensus CTV model did not show a significant difference compared with the randomly selected models., Conclusions: Custom retraining using institutional data leads to performance improvement in the clinical utility and accuracy of DLAS for postprostatectomy patients. A small number of data sets are sufficient for building an institutional site-specific DLAS OAR model, as well as for training new structures. Data indicates the workload for identifying training data sets could be shared among groups for the male pelvic region, making it accessible to clinics of all sizes., (Copyright © 2023 American Society for Radiation Oncology. Published by Elsevier Inc. All rights reserved.)

Background: Deep learning auto-segmentation (DLAS) models have been adopted in the clinic; however, they suffer from performance deterioration owing to the clinical practice variability. Some commercial DLAS software provide an incremental retraining function that enables users to train a custom model using their institutional data to account for clinical practice variability., Purpose: This study was performed to evaluate and implement the commercial DLAS software with the incremental retraining function for definitive treatment of patients with prostate cancer in a multi-user environment., Methods: CT-based target organs and organs-at-risk (OAR) delineation of 215 prostate cancer patients were utilized. The performance of three commercial DLAS software built-in models was validated with 20 patients. A retrained custom model was developed using 100 patients and evaluated on the remaining data (n = 115). Dice similarity coefficient (DSC), Hausdorff distance (HD), mean surface distance (MSD), and surface DSC (SDSC) were utilized for quantitative evaluation. A multi-rater qualitative evaluation was blindly performed with a five-level scale. Visual inspection was performed in consensus and non-consensus unacceptable cases to identify the failure modes., Results: Three commercial DLAS vendor built-in models achieved sub-optimal performance in 20 patients. The retrained custom model had a mean DSC of 0.82 for prostate, 0.48 for seminal vesicles (SV), and 0.92 for rectum, respectively. This represents a significant improvement over the built-in model with DSC of 0.73, 0.37, and 0.81 for the corresponding structures. Compared to the acceptance rate of 96.5% and consensus unacceptable rate (i.e., both reviewers rated as unacceptable) of 3.5% achieved by manual contours, the custom model achieved a 91.3% acceptance rate and 8.7% consensus unacceptable rate. The failure modes of retrained custom model were attributed to the following: cystogram (n = 2), hip prosthesis (n = 2), low dose rate brachytherapy seeds (n = 2), air in endorectal balloon(n = 1), non-iodinated spacer (n = 2), and giant bladder(n = 1)., Conclusion: The commercial DLAS software with the incremental retraining function was validated and clinically adopted for prostate patients in a multi-user environment. AI-based auto-delineation of the prostate and OARs is shown to achieve improved physician acceptance, overall clinical utility, and accuracy., (© 2023 American Association of Physicists in Medicine.)

The NCCN Guidelines for Non-Small Cell Lung Cancer (NSCLC) provide recommendations for management of disease in patients with NSCLC. These NCCN Guidelines Insights focus on neoadjuvant and adjuvant (also known as perioperative) systemic therapy options for eligible patients with resectable NSCLC.

"True" malignant epidural spinal cord compression (MESCC) is used here to describe a lesion compressing of infiltrating the spinal cord associated with neurologic deficits. Radiotherapy alone is the most common treatment, for which several dose-fractionation regimens are available including single-fraction, short-course and longer-course regimens. Since these regimens are similarly effective regarding functional outcomes, patients with poor survival are optimally treated with short-course or even single-fraction radiotherapy. Longer-course radiotherapy results in better local control of malignant epidural spinal cord compression. Since most in-field recurrences occur 6 months or later, local control is particularly important for longer-term survivors who, therefore, should receive longer-course radiotherapy. It is important to estimate survival prior to treatment, which is facilitated by scoring tools. Radiotherapy should be supplemented by corticosteroids, if safely possible. Bisphosphonates and RANK-ligand inhibitors may improve local control. Selected patients can benefit from upfront decompressive surgery. Identification of these patients is facilitated by prognostic instruments considering degree of compression, myelopathy, radio-sensitivity, spinal stability, post-treatment ambulatory status, and patients' performance status and survival prognoses. Many factors including patients' preferences must be considered when designing personalized treatment regimens., Competing Interests: Conflict of Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2022 Elsevier Inc. All rights reserved.)

Background: Radiation necrosis (RN) is a clinically relevant complication of stereotactic radiosurgery (SRS) for intracranial metastasis (ICM) treatments. Radiation necrosis development is variable following SRS. It remains unclear if risk factors for and clinical outcomes following RN may be different for melanoma patients. We reviewed patients with ICM from metastatic melanoma to understand the potential impact of RN in this patient population., Methods: Patients who received SRS for ICM from melanoma at Mayo Clinic Arizona between 2013 and 2018 were retrospectively reviewed. Data collected included demographics, tumor characteristics, radiation parameters, prior surgical and systemic treatments, and patient outcomes. Radiation necrosis was diagnosed by clinical evaluation including brain magnetic resonance imaging (MRI) and, in some cases, tissue evaluation., Results: Radiation necrosis was diagnosed in 7 (27%) of 26 patients at 1.6 to 38 months following initial SRS. Almost 92% of all patients received systemic therapy and 35% had surgical resection prior to SRS. Patients with RN trended toward having larger ICM and a prior history of surgical resection, although statistical significance was not reached. Among patients with resection, those who developed RN had a longer period between surgery and SRS start (mean 44 vs 33 days). Clinical improvement following treatment for RN was noted in 2 (29%) patients., Conclusions: Radiation necrosis is relatively common following SRS for treatment of ICM from metastatic melanoma and clinical outcomes are poor. Further studies aimed at mitigating RN development and identifying novel approaches for treatment are warranted., Competing Interests: The author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: Steven Schild, MD has served as an author and editor of UpToDate, Inc. Alan Bryce, MD discloses participation on a Data Safety Monitoring Board or Advisory Board at Clovis Oncology as well as payment/honoraria by Merck & Co., Inc., Astellas Pharma Inc., and Pfizer Inc. for lectures, presentations, speakers’ bureaus, manuscript writing or educational events. Terence Sio, MD, MS provides strategic and scientific recommendations as a member of the Advisory Board and speaker for Novocure, Inc., which is not in any way associated with the content or disease site as presented in this manuscript., (© The Author(s) 2023.)