Language：English   Publishing type：Research paper (scientific journal)  

Language：English   Publisher：Clinical Lung Cancer  

The incidence of brain radiation necrosis is increasing in NSCLC patients undergoing radiotherapy for brain metastases. • [11C] methionine–PET and MRS are valuable tools for diagnosing brain radiation necrosis. • Bevacizumab is an effective treatment for brain radiation necrosis in patients with nonsquamous NSCLC.

DOI： 10.1016/j.cllc.2024.06.010

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Language：English   Publisher：Neuro-Oncology Advances  

Background. Homozygous deletion of the tumor suppression genes cyclin‑dependent kinase inhibitor 2A/B (CDKN2A/B) is a strong adverse prognostic factor in IDH‑mutant gliomas, particularly astrocytoma. However, the impact of hemizygous deletion of CDKN2A/B is unknown. Furthermore, the influence of CDKN2A/B status in IDH‑ mutant and 1p/19q‑codeleted oligodendroglioma remains controversial. We examined the impact of CDKN2A/B status classification, including hemizygous deletions, on the prognosis of IDH‑mutant gliomas. Methods. We enrolled 101 adults with IDH‑mutant glioma between December 2002 and November 2021. CDKN2A/B deletion was evaluated with multiplex ligation‑dependent probe amplification (MLPA). Immunohistochemical anal‑ ysis of p16/MTAP and promoter methylation analysis with methylation‑specific MLPA was performed for cases with CDKN2A/B deletion. Kaplan − Meier plots and Cox proportion hazards model analyses were performed to evaluate the impact on overall (OS) and progression‑free survival. Results. Of 101 cases, 12 and 4 were classified as hemizygous and homozygous deletion, respectively. Immunohistochemistry revealed p16‑negative and MTAP retention in cases with hemizygous deletion, whereas homozygous deletions had p16‑negative and MTAP loss. In astrocytoma, OS was shorter in the order of homozy‑ gous deletion, hemizygous deletion, and copy‑neutral groups (median OS: 38.5, 59.5, and 93.1 months, respec‑ tively). Multivariate analysis revealed hazard ratios of 9.30 (P = .0191) and 2.44 (P = .0943) for homozygous and hemizygous deletions, respectively. Conclusions. CDKN2A/B hemizygous deletions exerted a negative impact on OS in astrocytoma. Immunohistochemistry of p16/MTAP can be utilized to validate hemizygous or homozygous deletions in combina‑ tion with conventional molecular diagnosis.

DOI： 10.1093/noajnl/vdae069

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Language：English   Publisher：Journal of Radiation Research  

The aim of this study was to investigate planning target volume (PTV) margin in online adaptive radiation therapy (oART) for gastric mucosa-associated lymphoid tissue (MALT) lymphomas. Four consecutive patients with gastric MALT lymphoma who received oART (30 Gy in 15 fractions) on the oART system were included in this study. One hundred and twenty cone-beam computed tomography (CBCT) scans acquired pre- and post-treatment of 60 fractions for all patients were used to evaluate intra- and interfractional motions. Patients were instructed on breath-holding at exhalation during image acquisition. To assess the intrafraction gastric motion, different PTVs were created by isotropically extending the CTV contoured on a pre-CBCT image (CTVpre) at1 mm intervals. Intrafraction motion was defined as the amount of expansion covering the contoured CTV on post-CBCT images (CTVpost). Interfractional motion was defined as the amount of reference CTV expansion that could cover each CTVpre, as well as the evaluation of the intrafractional motion. PTV margins were estimated from the cumulative proportion of fraction covering the intra- and interfractional motions. The extent of expansion covering the CTVs in 90% of fractions was adopted as the PTV margin. The PTV margin for intrafractional gastric motion using the oART system with breath-holding was 14 mm. In contrast, the PTV margin for interfractional gastric organ motion without the oART system was 25 mm. These results indicated that the oART system can reduce the PTV margin by >10 mm. Our results could be valuable data for oART cases.

DOI： 10.1093/jrr/rrae052

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Publisher：Applied Sciences (Switzerland)  

This study aimed to propose an automated prediction approach of the consolidation tumor ratios (CTRs) of part-solid tumors of patients treated with radiotherapy on treatment planning computed tomography images using deep learning segmentation (DLS) models. For training the DLS model for cancer regions, a total of 115 patients with non-small cell lung cancer (NSCLC) who underwent stereotactic body radiation therapy were selected as the training dataset, including solid, part-solid, and ground-glass opacity tumors. For testing the automated prediction approach of CTRs based on segmented tumor regions, 38 patients with part-solid tumors were selected as an internal test dataset A (IN) from a same institute as the training dataset, and 49 patients as an external test dataset (EX) from a public database. The CTRs for part-solid tumors were predicted as ratios of the maximum diameters of solid components to those of whole tumors. Pearson correlations between reference and predicted CTRs for the two test datasets were 0.953 (IN) and 0.926 (EX) for one of the DLS models (p < 0.01). Intraclass correlation coefficients between reference and predicted CTRs for the two test datasets were 0.943 (IN) and 0.904 (EX) for the same DLS models. The findings suggest that the automated prediction approach could be robust in calculating the CTRs of part-solid tumors.

DOI： 10.3390/app14083275

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Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1007/s12194-023-00737-y

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Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.21873/anticanres.16699

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Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1186/s12885-023-11528-4

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Language：English   Publisher：Physical and Engineering Sciences in Medicine  

This study aimed to investigate the robustness of a deep learning (DL) fusion model for low training-to-test ratio (TTR) datasets in the segmentation of gross tumor volumes (GTVs) in three-dimensional planning computed tomography (CT) images for lung cancer stereotactic body radiotherapy (SBRT). A total of 192 patients with lung cancer (solid tumor, 118; part-solid tumor, 53; ground-glass opacity, 21) who underwent SBRT were included in this study. Regions of interest in the GTVs were cropped based on GTV centroids from planning CT images. Three DL models, 3D U-Net, V-Net, and dense V-Net, were trained to segment the GTV regions. Nine fusion models were constructed with logical AND, logical OR, and voting of the two or three outputs of the three DL models. TTR was defined as the ratio of the number of cases in a training dataset to that in a test dataset. The Dice similarity coefficients (DSCs) and Hausdorff distance (HD) of the 12 models were assessed with TTRs of 1.00 (training data: validation data: test data = 40:20:40), 0.791 (35:20:45), 0.531 (31:10:59), 0.291 (20:10:70), and 0.116 (10:5:85). The voting fusion model achieved the highest DSCs of 0.829 to 0.798 for all TTRs among the 12 models, whereas the other models showed DSCs of 0.818 to 0.804 for a TTR of 1.00 and 0.788 to 0.742 for a TTR of 0.116, and an HD of 5.40 ± 3.00 to 6.07 ± 3.26 mm better than any single DL models. The findings suggest that the proposed voting fusion model is a robust approach for low TTR datasets in segmenting GTVs in planning CT images of lung cancer SBRT.

DOI： 10.1007/s13246-023-01295-8

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Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1007/s13246-023-01295-8.

Language：English   Publishing type：Research paper (scientific journal)   Publisher：The Japan Neurosurgical Society  

<p>We aimed to retrospectively determine the resection rate of fluid-attenuated inversion recovery (FLAIR) lesions to evaluate the clinical effects of supramaximal resection (SMR) on the survival of patients with glioblastoma (GBM). Thirty-three adults with newly diagnosed GBM who underwent gross total tumor resection were enrolled. The tumors were classified into cortical and deep-seated groups according to their contact with the cortical gray matter. Pre- and postoperative FLAIR and gadolinium-enhanced T1-weighted imaging tumor volumes were measured using a three-dimensional imaging volume analyzer, and the resection rate was calculated. To evaluate the association between SMR rate and outcome, we subdivided patients whose tumors were totally resected into the SMR and non-SMR groups by moving the threshold value of SMR in 10% increments from 0% and compared their overall survival (OS) change. An improvement in OS was observed when the threshold value of SMR was 30% or more. In the cortical group (n = 23), SMR (n = 8) tended to prolong OS compared with gross total resection (GTR) (n = 15), with the median OS of 69.6 and 22.1 months, respectively (p = 0.0945). Contrastingly, in the deep-seated group (n = 10), SMR (n = 4) significantly shortened OS compared with GTR (n = 6), with median OS of 10.2 and 27.9 months, respectively (p = 0.0221). SMR could help prolong OS in patients with cortical GBM when 30% or more volume reduction is achieved in FLAIR lesions, although the impact of SMR for deep-seated GBM must be validated in larger cohorts.</p>

DOI： 10.2176/jns-nmc.2022-0351

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Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1007/s11604-023-01481-4

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Language：English   Publisher：Interdisciplinary cardiovascular and thoracic surgery  

OBJECTIVES: Sarcopenia correlates with poor prognosis in various malignancies. However, the prognostic significance of sarcopenia remains to be determined in patients with non-small-cell lung cancer who undergo surgery after receiving neoadjuvant chemoradiotherapy (NACRT). METHODS: We retrospectively reviewed the patients with stage II/III non-small-cell lung cancer who underwent surgery following NACRT. The paravertebral skeletal muscle area (SMA) (cm2) at the 12th thoracic vertebra level was measured. We calculated the SMA index (SMAI) as SMA/squared height (cm2/m2). Patients were divided into low and high SMAI groups, and the association of SMAI with clinicopathological factors and prognosis was assessed. RESULTS: The patients' [men, 86 (81.1%)] median age was 63 (21-76) years. There were 106 patients including 2 (1.9%), 10 (9.4%), 74 (69.8%), 19 (17.9%) and 1 (0.9%) patients with stage IIA, IIB, IIIA, IIIB and IIIC, respectively. Of the patients, 39 (36.8%) and 67 (63.2%) were classified in the low and the high SMAI groups, respectively. Kaplan-Meier analysis showed that the low group had a significantly shorter overall survival and disease-free survival than the high group. Multivariable analysis identified low SMAI as an independent poor prognostic factor for overall survival. CONCLUSIONS: Pre-NACRT SMAI correlates with poor prognosis; therefore, assessing sarcopenia based on pre-NACRT SMAI may help determine optimal treatment strategies and suitable nutritional and exercise interventions.

DOI： 10.1093/icvts/ivad020

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Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1093/icvts/ivad020.

Publisher：金原出版  

DOI： 10.18888/rp.0000002176

CiNii Research

Language：English   Publisher：Thoracic Cancer  

Background: This study aimed to explore the predictability of topological signatures linked to the locoregional relapse (LRR) and distant metastasis (DM) on pretreatment planning computed tomography images of stage I non-small cell lung cancer (NSCLC) patients before treatment with stereotactic ablative radiotherapy (SABR). Methods: We divided 125 primary stage I NSCLC patients (LRR: 34, DM: 22) into training (n = 60) and test datasets (n = 65), and the training dataset was augmented to 260 cases using a synthetic minority oversampling technique. The relapse predictabilities of the conventional wavelet-based features (WF), topology-based features [BF, Betti number (BN) map features; iBF, inverted BN map features], and their combined features (BWF, iBWF) were compared. The patients were stratified into high-risk and low-risk groups using the medians of the radiomics scores in the training dataset. Results: For the LRR in the test, the iBF, iBWF, and WF showed statistically significant differences (p < 0.05), and the highest nLPC was obtained for the iBF. For the DM in the test, the iBWF showed a significant difference and the highest nLPC. Conclusion: The iBF indicated the potential of improving the LRR and DM prediction of stage I NSCLC patients prior to undergoing SABR.

DOI： 10.1111/1759-7714.14483

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Language：Japanese   Publisher：(一社)日本医用画像工学会  

早期非小細胞肺癌(NSCLC)の標準治療は手術と体幹部定位放射線治療(SABR)で,両者の治療効果は同等であり,治療前の再発リスク予測により患者毎の適切な治療法選択を実現する可能性がある.本研究の目的は,SABRの治療前計画CT画像のトポロジー解析による画像シグネチャを用いてステージI期NSCLC患者の治療後の癌進行を予測することである.患者群をレディオミクススコア(Rad-score)により高・低リスク群に分類し,p値(log-rank test),c-index,総合指標のnLPCを用いて評価した.Rad-scoreは,従来ウェーブレット特徴量(WFs)及びトポロジー解析に基づくベッチ数マップから得た特徴量(TFs)を基にCox-netにより構築したシグネチャから計算された.テスト症例のp値,c-index,nLPCはそれぞれ,TFsで3.28×10^-2,0.80,1.19,WFsで3.13×10^-2,0.72,1.08であった.TFsはWFsと比較しより有意なNSCLCの進行との関連性を持つ可能性がある.(著者抄録)

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Language：English   Publishing type：Research paper (scientific journal)  

Language：English   Publisher：World Neurosurgery  

Background: Controversies exist regarding the aggressive recurrence of glioblastoma after bevacizumab treatment. We analyzed the clinical impact of bevacizumab approval in Japan by evaluating the clinical course and relapse pattern in patients with glioblastoma. Methods: We included 100 patients with IDH-wild-type glioblastoma from September 2006 to February 2018 in our institution. The patients were classified into the pre-bevacizumab (n = 51) and post-bevacizumab (n = 49) groups. Overall, progression-free, deterioration-free, and postprogression survivals were compared. We analyzed the relapse pattern of 72 patients, whose radiographic progressions were evaluated. Results: Significant improvement in progression-free (pre-bevacizumab, 7.5 months; post-bevacizumab, 9.9 months; P = 0.0153) and deterioration-free (pre-bevacizumab, 8.5 months; post-bevacizumab, 13.8 months; P = 0.0046) survivals was seen. These survival prolongations were strongly correlated (r: 0.91, P < 0.0001). The nonenhancing tumor pattern was novel in the post-bevacizumab era (5 of 33). The presence of a nonenhancing tumor did not indicate poor postprogression survival (hazard ratio: 0.82 [0.26–2.62], P = 0.7377). The rate of early focal recurrence was significantly lower (P = 0.0155) in the post-bevacizumab (4 of 33) than in the pre-bevacizumab (18 of 39) era. There was a significant decrease in early focal recurrence after approval of bevacizumab in patients with unresectable tumors (P = 0.0110). The treatment era was significantly correlated with a decreased rate of early focal recurrence (P = 0.0021, univariate analysis; P = 0.0144, multivariate analysis). Conclusions: Approval of first-line bevacizumab in Japan for unresectable tumors may prevent early progression and clinical deterioration of glioblastoma without worsening the clinical course after relapse.

DOI： 10.1016/j.wneu.2021.12.075

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Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1371/journal.pone.0263292

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DOI： 10.1007/s00261-004-0202-7

Language：Japanese   Publishing type：Research paper (scientific journal)  

Event date： 2022.2

Language：Japanese  

Venue：福岡市   Country：Japan  

Event date： 2019.11

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：名古屋市   Country：Japan  

Event date： 2018.10

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：京都市   Country：Japan  

Event date： 2017.11

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：大阪市   Country：Japan  

Event date： 2017.4

Language：Japanese   Presentation type：Oral presentation (general)  

Country：Japan  

Event date： 2011.7

Presentation type：Public lecture, seminar, tutorial, course, or other speech  

Venue：神戸市   Country：Japan  

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