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Yu H, He S, He Y, Dai G, Fu Y, Zeng X, Liu M, Ai P. Dosimetric comparison of advanced radiation techniques for scalp-sparing in low-grade gliomas. Strahlenther Onkol 2024:10.1007/s00066-024-02229-3. [PMID: 38649484 DOI: 10.1007/s00066-024-02229-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Accepted: 03/03/2024] [Indexed: 04/25/2024]
Abstract
BACKGROUND Alopecia causes significant distress for patients and negatively impacts quality of life for low-grade glioma (LGG) patients. We aimed to compare and evaluate variations in dose distribution for scalp-sparing in LGG patients with proton therapy and photon therapy, namely intensity-modulated proton therapy (IMPT), intensity-modulated radiotherapy (IMRT), volumetric modulated arc therapy (VMAT), and helical tomotherapy (HT). METHODS This retrospective study utilized a dataset comprising imaging data from 22 patients with LGG who underwent postoperative radiotherapy. Treatment plans were generated for each patient with scalp-optimized (SO) approaches and scalp-non-optimized (SNO) approaches using proton techniques and photons techniques; all plans adhered to the same dose constraint of delivering a total radiation dose of 54.04 Gy to the target volume. All treatment plans were subsequently analyzed. RESULTS All the plans generated in this study met the dose constraints for the target volume and OARs. The SO plans resulted in reduced maximum scalp dose (Dmax), mean scalp dose (Dmean), and volume of the scalp receiving 30 Gy (V30) and 40 Gy (V40) compared with SNO plans in all radiation techniques. Among all radiation techniques, the IMPT plans exhibited superior performance compared to other plans for dose homogeneity as for SO plans. Also, IMPT showed lower values for Dmean and Dmax than all photon radiation techniques. CONCLUSION Our study provides evidence that the SO approach is a feasible technique for reducing scalp radiation dose. However, it is imperative to conduct prospective trials to assess the benefits associated with this approach.
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Affiliation(s)
- Hang Yu
- Department of Radiotherapy Physics & Technology, West China Hospital, Sichuan University, 610041, Chengdu, Sichuan Province, China
| | - Shuangshuang He
- Department of Radiation Oncology and Department of Head and Neck Oncology, Cancer Center, West China Hospital, Sichuan University, Sichuan, China
| | - Yisong He
- Medical Physics Laboratory, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, 610072, Chengdu, China
| | - Guyu Dai
- Department of Radiotherapy Physics & Technology, West China Hospital, Sichuan University, 610041, Chengdu, Sichuan Province, China
| | - Yuchuan Fu
- Department of Radiotherapy Physics & Technology, West China Hospital, Sichuan University, 610041, Chengdu, Sichuan Province, China
| | - Xianhu Zeng
- Department of Radiotherapy Physics & Technology, West China Hospital, Sichuan University, 610041, Chengdu, Sichuan Province, China
| | - Mengyuan Liu
- Department of Radiation Oncology and Department of Head and Neck Oncology, Cancer Center, West China Hospital, Sichuan University, Sichuan, China
| | - Ping Ai
- Department of Radiation Oncology and Department of Head and Neck Oncology, Cancer Center, West China Hospital, Sichuan University, Sichuan, China.
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Satragno C, Verrico A, Giannelli F, Ferrero A, Campora S, Turazzi M, Cavagnetto F, Schiavetti I, Garrè ML, Garibotto F, Milanaccio C, Piccolo G, Crocco M, Ramaglia A, Di Profio S, Barra S, Belgioia L. High dose craniospinal irradiation as independent risk factor of permanent alopecia in childhood medulloblastoma survivors: cohort study and literature review. J Neurooncol 2022; 160:659-668. [PMID: 36369416 PMCID: PMC9758075 DOI: 10.1007/s11060-022-04186-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 10/28/2022] [Indexed: 11/13/2022]
Abstract
PURPOSE Our aim was to determine the main risk factors related to the occurrence of permanent alopecia in childhood medulloblastoma (MB) survivors. METHODS We retrospectively analyzed the clinical features of all consecutive MB survivors treated at our institute. We divided the patients into 3 groups depending on the craniospinal irradiation (CSI) dose received and defined permanent alopecia first in terms of the skin region affected (whole scalp and nape region), then on the basis of the toxicity degree (G). Any relationship between permanent alopecia and other characteristics was investigated by a univariate and multivariate analysis and Odds ratio (OR) with confidence interval (CI) was reported. RESULTS We included 41 patients with a mean10-year follow-up. High dose CSI resulted as an independent factor leading to permanent hair loss in both groups: alopecia of the whole scalp (G1 p-value 0.030, G2 p-value 0.003) and of the nape region (G1 p-value 0.038, G2 p-value 0.006). The posterior cranial fossa (PCF) boost volume and dose were not significant factors at multivariate analysis neither in permanent hair loss of the whole scalp nor only in the nuchal region. CONCLUSION In pediatric patients with MB, the development of permanent alopecia seems to depend only on the CSI dose ≥ 36 Gy. Acute damage to the hair follicle is dose dependent, but in terms of late side effects, constant and homogeneous daily irradiation of a large volume may have a stronger effect than a higher but focal dose of radiotherapy.
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Affiliation(s)
- C Satragno
- Dipartimento Di Medicina Sperimentale (DIMES), Università Degli Studi Di Genova, Via Leon Battista Alberti, 16132, Genova, GE, Italia.
| | - A Verrico
- Unità di Neuroncologia, IRCCS Istituto Giannina Gaslini, Genova, Italia
| | - F Giannelli
- UO Radioterapia Oncologica, IRCCS Ospedale Policlinico San Martino, Genova, Italia
| | - A Ferrero
- Dipartimento Di Medicina Sperimentale (DIMES), Università Degli Studi Di Genova, Via Leon Battista Alberti, 16132, Genova, GE, Italia
| | - S Campora
- Dipartimento di Scienza Della Salute (DISSAL), Università Degli Studi di Genova, Genova, Italia
| | - M Turazzi
- Dipartimento di Scienza Della Salute (DISSAL), Università Degli Studi di Genova, Genova, Italia
| | - F Cavagnetto
- UO Fisica Sanitaria, IRCCS Ospedale Policlinico San Martino, Genova, Italia
| | - I Schiavetti
- Dipartimento di Scienze Della Salute (DISSAL), Sezione di Biostatistica, Università Degli Studi di Genova, Genova, Italia
| | - M L Garrè
- Unità di Neuroncologia, IRCCS Istituto Giannina Gaslini, Genova, Italia
| | - F Garibotto
- Dipartimento di Neuroscienze, Riabilitazione, Oftalmologia, Genetica, Ginecologia e Pediatria (DINOGMI), Università Degli Studi di Genova, Genova, Italia
| | - C Milanaccio
- Unità di Neuroncologia, IRCCS Istituto Giannina Gaslini, Genova, Italia
| | - G Piccolo
- Unità di Neuroncologia, IRCCS Istituto Giannina Gaslini, Genova, Italia
- Dipartimento di Neuroscienze, Riabilitazione, Oftalmologia, Genetica, Ginecologia e Pediatria (DINOGMI), Università Degli Studi di Genova, Genova, Italia
| | - M Crocco
- Dipartimento di Neuroscienze, Riabilitazione, Oftalmologia, Genetica, Ginecologia e Pediatria (DINOGMI), Università Degli Studi di Genova, Genova, Italia
| | - A Ramaglia
- Unità di Neuroradiologia, IRCCS Istituto Giannina Gaslini, Genova, Italia
| | - S Di Profio
- Unità di Psicologia, IRCCS Istituto Giannina Gaslini, Genova, Italia
| | - S Barra
- UO Radioterapia Oncologica, IRCCS Ospedale Policlinico San Martino, Genova, Italia
| | - L Belgioia
- Dipartimento di Scienza Della Salute (DISSAL), Università Degli Studi di Genova, Genova, Italia
- UO Radioterapia Oncologica, IRCCS Ospedale Policlinico San Martino, Genova, Italia
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in 't Ven L, Compter I, van Eijsden K, Zindler J, Swinnen A, de Ruysscher D, Rozema T, Troost EG, Eekers DB. Pre-treatment visualization of predicted radiation-induced acute alopecia in brain tumour patients. Clin Transl Radiat Oncol 2022; 33:106-111. [PMID: 35243020 PMCID: PMC8856945 DOI: 10.1016/j.ctro.2022.02.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Revised: 02/08/2022] [Accepted: 02/10/2022] [Indexed: 12/05/2022] Open
Abstract
Alopecia as a side effect of radiotherapy beholds a significant psychological burden for brain tumor patients. Prediction of occurrence and location of alopecia can prepare patients both mentally and practically. We demonstrate a model within our treatment planning system to visualize expected alopecia 4 weeks after radiation treatment for brain tumors. The validation cohort consisted of 147 brain tumor patients and showed a 100% accuracy of expected alopecia in 90% of all cases treated with photon beam radiotherapy.
Background and purpose Temporary alopecia is a common side-effect in brain tumour patients receiving cranial radiotherapy with a significant psychological burden for the affected patient. The purpose of this study was to generate a method in our treatment planning system (TPS) to visualize the expected radiation-induced alopecia 4 weeks after treatment, in order to inform the patients thereupon before the start of radiotherapy. Material and methods A pilot study was conducted in ten patients receiving hypo- (HF) or conventionally fractionated (CF) photon beam Volumetric Modulated Arc Therapy (VMAT) for an intracranial lesion. Dose calculations were correlated to visible alopecia four weeks after the end of treatment to create a structure predictive of alopecia in our TPS. These alopecia structures for both fractionation schedules were validated in two cohorts of 69 HF and 78 CF patients undergoing radiotherapy between 2016 and 2019. Results In the pilot cohort, a total physical dose of 4 Gy for HF and 12.6 Gy for CF radiotherapy were found to be predictive of alopecia 4 weeks after treatment. Applying these doses to our validation cohort, we found an accurate prediction of alopecia in 59/69 (86%) HF and 73/78 (96%) CF patients. For the total patient group of 147 patients, the predicted amount of alopecia was accurate in 90% of the cases. All inaccurate predictions overestimated the expected extent of alopecia. Conclusion The presented straightforward method to visualize predicted alopecia 4 weeks after treatment has proven to predict the extent alopecia highly accurate in the vast majority of patients. Sharing these results with the patients pre-treatment may result in stress reduction before cranial irradiation.
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De Roeck L, van der Weide HL, Eekers DB, Kramer MC, Alapetite C, Blomstrand M, Burnet NG, Calugaru V, Coremans IE, Di Perri D, Harrabi S, Iannalfi A, Klaver YL, Langendijk JA, Romero AM, Paulsen F, Roelofs E, de Ruysscher D, Timmermann B, Vitek P, Weber DC, Whitfield GA, Nyström PW, Zindler J, Troost EG, Lambrecht M. The european particle therapy network (EPTN) consensus on the follow-up of adult patients with brain and skull base tumours treated with photon or proton irradiation. Radiother Oncol 2022. [DOI: 10.1016/j.radonc.2022.01.018] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 01/19/2022] [Indexed: 12/25/2022]
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Yue Z, Lei M, Paus R, Chuong CM. The global regulatory logic of organ regeneration: circuitry lessons from skin and its appendages. Biol Rev Camb Philos Soc 2021; 96:2573-2583. [PMID: 34145718 PMCID: PMC10874616 DOI: 10.1111/brv.12767] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Revised: 06/09/2021] [Accepted: 06/11/2021] [Indexed: 12/17/2022]
Abstract
In organ regeneration, the regulatory logic at a systems level remains largely unclear. For example, what defines the quantitative threshold to initiate regeneration, and when does the regeneration process come to an end? What leads to the qualitatively different responses of regeneration, which restore the original structure, or to repair which only heals a wound? Here we discuss three examples in skin regeneration: epidermal recovery after radiation damage, hair follicle fate choice after chemotherapy damage, and wound-induced feather regeneration. We propose that the molecular regulatory circuitry is of paramount significance in organ regeneration. It is conceivable that defects in these controlling pathways may lead to failed regeneration and/or organ renewal, and understanding the underlying logic could help to identify novel therapeutic strategies.
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Affiliation(s)
- ZhiCao Yue
- Department of Cell Biology and Medical Genetics, Carson International Cancer Center, Guangdong Key Laboratory for Genome Stability and Disease Prevention, Shenzhen University School of Medicine, Shenzhen, Guangdong, 518060, China
| | - Mingxing Lei
- 111 Project Laboratory of Biomechanics and Tissue Repair, College of Bioengineering, Chongqing University, Chongqing, 400038, China
| | - Ralf Paus
- Department of Dermatology & Cutaneous Surgery, University of Miami Miller School of Medicine, Miami, FL, 33136, U.S.A
| | - Cheng-Ming Chuong
- Department of Pathology, University of Southern California, Los Angeles, CA, 90033, U.S.A
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Takaoka T, Tomita N, Mizuno T, Hashimoto S, Tsuchiya T, Tomida M, Yanagi T. Dosimetric Comparison of Helical Tomotherapy and Intensity-Modulated Proton Therapy in Hippocampus- and Scalp-Sparing Whole Brain Radiotherapy. Technol Cancer Res Treat 2021; 20:15330338211060170. [PMID: 34806489 PMCID: PMC8606719 DOI: 10.1177/15330338211060170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Objective: Cognitive decline and alopecia after radiotherapy are challenging problems. We aimed to compare whole brain radiotherapy (WBRT) plans reducing radiation dose to the hippocampus and scalp between helical tomotherapy (HT) and intensity-modulated proton therapy (IMPT). Methods: We conducted a planning study of WBRT for 10 patients. The clinical target volume was defined as the whole brain excluding the hippocampus avoidance (HA) region. The prescribed dose was 30 Gy in 10 fractions to cover 95% of the target. Constraint goals were defined for the target and organs at risk (OAR). Results: Both techniques met the dose constraints for the target and OAR. However, the coverage of the target (dose covering 95% [D95%] and 98% [D98%] of the volume) were better in IMPT than HT (HT vs IMPT: D95%, 29.9 Gy vs 30.0 Gy, P < .001; D98%, 26.7 Gy vs 28.1 Gy, P = .002). The homogeneity and conformity of the target were also better in IMPT than HT (HT vs IMPT: homogeneity index, 1.50 vs 1.28, P < .001; conformity index, 1.30 vs 1.14, P < .001). IMPT reduced the D100% of the hippocampus by 59% (HT vs IMPT: 9.3 Gy vs 3.8 Gy, P < .001) and reduced the Dmean of the hippocampus by 37% (HT vs IMPT: 11.1 Gy vs 7.0 Gy, P < .001) compared with HT. The scalp IMPT reduced the percentage of the volume receiving at least 20 Gy (V20Gy) and V10Gy compared with HT (HT vs IMPT: V20Gy, 56.7% vs 6.6%, P < .001; V10Gy, 90.5% vs 37.1%, P < .001). Conclusion: Both techniques provided acceptable target dose coverage. Especially, IMPT achieved excellent hippocampus- and scalp-sparing. HA-WBRT using IMPT is a promising treatment to prevent cognitive decline and alopecia.
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Affiliation(s)
- Taiki Takaoka
- Narita Memorial Proton Center, Toyohashi, Aichi, Japan
| | - Natsuo Tomita
- 38386Nagoya City University Graduate School of Medical Sciences, Nagoya, Aichi, Japan
| | - Tomoki Mizuno
- 38386Nagoya City University Graduate School of Medical Sciences, Nagoya, Aichi, Japan
| | - Shingo Hashimoto
- 38386Nagoya City University Graduate School of Medical Sciences, Nagoya, Aichi, Japan
| | - Takahiro Tsuchiya
- 38386Nagoya City University Graduate School of Medical Sciences, Nagoya, Aichi, Japan
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Le Guyader M, Antoni D. Under-recognized toxicities of cranial irradiation. Cancer Radiother 2021; 25:713-22. [PMID: 34274224 DOI: 10.1016/j.canrad.2021.06.019] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 06/21/2021] [Accepted: 06/24/2021] [Indexed: 11/23/2022]
Abstract
Cranial irradiation of primary or metastatic lesions is frequent, historically with 3D-conformal radiation therapy and now with stereotactic radiosurgery and intensity modulation. Evolution of radiotherapy technique is concomitant to systemic treatment evolution permitting long time survival. Thus, physicians have to face underestimated toxicities on long-survivor patients and unknown toxicities from combination of cranial radiotherapy to new therapeutics as targeted therapies and immunotherapies. This article proposes to develop these toxicities, without being exhaustive, to allow a better apprehension of cranial irradiation in current context.
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Giovagnoni A, De Filippo M, Barile A. Diagnostic and interventional radiology: an update. Acta Biomed 2020; 91:5-8. [PMID: 32945273 PMCID: PMC7944668 DOI: 10.23750/abm.v91i8-s.9995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Accepted: 06/11/2020] [Indexed: 11/23/2022]
Abstract
NOT PRESENT.
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Affiliation(s)
- Andrea Giovagnoni
- Department of Clinical, Special and Dental Sciences, University Politecnica delle Marche, Ancona, AN, Italy.
| | - Massimo De Filippo
- Department of Medicine and Surgery (DiMec), Section of Radiology, University of Parma, Maggiore Hospital, Parma, Italy.
| | - Antonio Barile
- Department of Applied Clinical Science and Biotechnology, University of L'Aquila, L'Aquila, Italy.
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